Skip to main content
Lippincott Open Access logoLink to Lippincott Open Access
. 2023 Nov 14;42(2):205–223. doi: 10.1097/HJH.0000000000003614

Midlife hypertension is a risk factor for some, but not all, domains of cognitive decline in later life: a systematic review and meta-analysis

Oisín Cormac Joyce a, Clíodhna McHugh a, David Mockler b, Fiona Wilson c, Áine M Kelly a
PMCID: PMC10763710  PMID: 37937515

Abstract

Introduction:

Management of midlife blood pressure and hypertension status may provide a window of intervention to mitigate cognitive decline with advancing age. The aim of this review was to investigate the relationship between midlife hypertension and cognition in midlife and later life.

Methods:

Online electronic databases were searched from their inception to May 2022. Studies assessing midlife (40–65 years) hypertension and cognition at mid and/or later-life were included. A random effects meta-analysis was deemed appropriate.

Results:

One hundred forty-nine studies across 26 countries were included. Qualitative synthesis found negative relationships between midlife hypertension and later life cognition in the domains of memory, executive function, and global cognition. Metanalytical evidence revealed midlife hypertension negatively impacts memory, executive function, and global cognition but had no observed effect on attention at midlife.

Discussion:

Hypertension at midlife has a significant negative impact on cognition in mid-life and later life, namely memory, executive function, and global cognition.

Keywords: cognition, high blood pressure, hypertension, middle-aged, midlife

BACKGROUND

The worldwide prevalence of age-related cognitive decline is a major public health concern, especially in the context of an ageing population. Globally, the number of people living with dementia and cognitive impairment is expected to rise from 24.3 million in 2001 to 81.1 million in 2040, almost doubling every 20-years [1,2]. Current evidence from the Lancet Commission on dementia prevention, intervention, and care suggests that up to 40% of all dementia cases can be linked to modifiable risk factors [3]. Identification of such risk factors and strategies to modify their negative influence on cognitive function therefore has the potential to protect and improve quality of life for a significant proportion of the global population, now and in the future.

Hypertension, which affects at least 1 billion people globally [4], has emerged as an important risk factor for cognitive deterioration and vascular dementia [5], and age of onset may impact on overall risk to brain health and function later in life [6]. Specifically, there is evidence that hypertension during midlife could accelerate brain ageing [5,7], potentially inducing premature cognitive decline via vascular and structural change [8]. Interestingly, blood pressure (BP) exceeding optimal values even in the absence of a diagnosis of hypertension during young adulthood and midlife has been found to increase the risk of cognitive impairment in later life [9]. Therefore, midlife may be the optimal time point for appropriate treatment and management of BP to mitigate the associated trajectory of cognitive decline with age. Cognitive function can be measured clinically and experimentally across several domains including but not limited to memory, attention, executive function, and global cognition. Different studies have assessed the effects of hypertension on one or more of these functions, yet there is no consensus on the impact of midlife hypertension on any of these domains at midlife or later life; the systematic analysis and meta-analysis presented here aims to address this issue.

As the world's population over the age of 60 years is expected to double by 2050 [10], there is a growing need to investigate the association between midlife hypertension and cognitive decline, including any parallels in the time course of progression of each domain, to help inform public health policy. Although midlife hypertension has the potential to increase risk of later life cognitive decline, it is unclear at what point in the lifespan this decline begins and whether it is apparent during midlife. The purpose of this systematic review was to perform an analysis of the published evidence to explore the relationship between midlife hypertension status and cognitive function at both later life and at midlife, and to assess whether any negative impact was evident across different cognitive domains.

MATERIALS AND METHODS

This review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines (PRISMA; www.prisma-statement.org) and was recorded in PROSPERO, a registry of systematic reviews. Registration of this review can be found at https://www.crd.york.ac.uk/prospero/ (registration number: CRD42021238293). The present review is a subset analysis of the registered review.

Search strategy

Online electronic databases were searched, and relevant articles retrieved from the following: EMBASE, MEDLINE, PubMed, Web of Science, and CINAHL, from their inception to May 2022. All search strategies were conducted by a medical librarian with methodological experience and the full search strategy can be found in the supplementary file. The search strategy comprises key words, MeSH terms, common medical terms, and a combination of these including, but not limited to, middle age, midlife, cardiovascular disease, cardiovascular risk, hypertension, high BP, cognition, and cognitive defect. The search strategy focused on the inclusion of longitudinal, prospective, and follow-up studies to ensure later life cognition was captured. No search restrictions for language or publication date were implemented. The search of electronic databases was supplemented by a manual literature search of the reference lists of included studies and appropriate databases to ensure all relevant studies were captured.

The stepwise process of the search methodology can be seen in Fig. 1. All stages of the screening process were conducted independently by two reviewers (O.C.J. and C.McH.), including title and abstract screening and subsequent full text screening. Disagreements between the two reviewers were resolved through discussion. If a consensus was not achieved, a third reviewer (F.W or A.K) was consulted. Titles, abstracts, and full texts of all eligible articles were screened using Covidence (https://www.covidence.org/home).

FIGURE 1.

FIGURE 1

Flow chart of the study selection process.

Eligibility criteria

Studies were deemed eligible based on the following inclusion criteria: human participants, adults between ages of 40–65 years were classified as middle-aged (WHO definition of middle age), hypertension, and/or BP reported as an outcome measure at later life, midlife, or both for determination of the longitudinal association with midlife hypertension and cognition across domains including memory, attention, executive function, intelligence, and global cognitive functioning (see Supplementary file). Hypertension was considered an outcome of elevated BP where diagnosis by clinician, self-report, and/or by recorded BP metric in line with accepted definitions were considered eligible for inclusion and data analysis. Studies not published in the English language where a translation could not be obtained were excluded. Studies were excluded if cognitive testing was undertaken by a proxy or designated respondent, such as a friend or family member, if the participant cohorts included those with midlife dementia or any form of preexisting cognitive impairment and if studies of specific disabilities [traumatic brain injury (TBI), stroke, HIV, spinal cord injury, and so on] were associated with modifiable behavioural risk factors.

Data extraction

Data extraction was carried out in accordance with the STROBE guidelines [11], including study aims, participant characteristics, measures of cognition and cardiovascular risk factors alongside relevant outcome data as group means, standard deviation (SD), standard error (SE) of the mean, statistical significance, and precision estimates. Adults between the ages of 40 and 65 years were considered middle aged in line with the WHO definition and those beyond the age of 65 years were classified as later life participants. To prevent double reporting of data from prospective longitudinal cohorts, the most recent publication relating to each was selected as the reference study for the determination of baseline data (see Supplemental file). If uncertainties arose, the corresponding authors were contacted for further clarification. Each study was assigned a reference number and separate data collection form. To ensure accurate reporting, the data extraction pro-forma was piloted against a selection of articles. All BP values reported are classified according to the European Society of Cardiology (ESC) classification in order to determine hypertension status [12].

Risk of bias and methodological assessment

The methodological quality of included studies was evaluated using the Appraisal Tool for Cross sectional Studies (AXIS) [13]. This tool employs 20 questions to determine quality of study design and risk of bias with questions being answered as ‘Yes’, ‘No’, or ‘Unsure’. Using the method outlined by McHugh et al. [14], answers were inserted in colour coding to reflect the impact on the text, including green, positive impact on quality of study; red, negative impact on quality of study; and amber, unknown impact on quality of study. Two reviewers (O.C.J. and C.McH.) independently evaluated the included studies. Disagreements between reviewers were resolved through discussion. If a consensus was not achieved, a third reviewer (F.W or A.K) was consulted. Study quality was then classified as either low, moderate, or high.

Statistical analysis

The weighted mean for demographics, cognitive measures (cognitive-specific domains and associated neuropsychological tests), SBP, and DBP values were calculated across studies to better understand the relationship with hypertension diagnosis. Weighted means were calculated using the following formula: ∑ni=1 (xi∗wi)/∑ ni=1 wi; where ∑ denotes the sum, w denotes the weights, and x is the corresponding value [15].

x¯=i=1n(xi*wi)i=1nwi

Cognitive outcome measures were grouped according to cognitive domain. Qualitative analysis assessed the relationship between midlife hypertension status and cognition at later life and midlife; positive, negative, or neutral, across studies.

A random effects meta-analysis was conducted to compare the difference across each cognitive domain between two independent groups, hypertension vs. normotension. This meta-analysis was deemed appropriate to calculate the pooled summary effect of midlife hypertension on cognition at midlife across the domains of memory, attention, executive function, and global cognition. Group mean differences, 95% confidence intervals (95% CIs), and P values were calculated using Review Manager (RevMan) software ([Computer pro-gramme], Version 5.4, Copenhagen: The Nordic Cochrane Centre, The Cochrane Collaboration, 2020). Sub-grouping for meta-analyses included study design and quality. The heterogeneity between studies was established using the I2 statistic. I2 values of 25, 50, and 75% (P > 0.05) correspond to low, moderate, and high degrees of heterogeneity, respectively [16]. Where high levels of heterogeneity (I2 > 75%) were detected and a sufficient availability of studies was present, sensitivity analyses were applied, and studies were removed one by one to assess their overall influence. Studies that were removed due to the sensitivity analysis are represented by a 0.0% weight in the forest plots.

All remaining studies that were not included in our meta-analysis due to lack of available comparative data between those with and without hypertension were subject to qualitative analysis. This was undertaken based on the findings reported by the respective authors in the studies included in our review. Our intention was to provide a comprehensive synthesis of the available evidence in these areas, even when the number of eligible studies was limited for specific cognitive domains.

RESULTS

Literature search

Figure 1 displays details of the study selection. The initial search and manual search yielded 6824 records. Following the removal of duplicates and title and abstract screening, 606 full texts were screened, and 442 studies were excluded (see Fig. 1). The authors of four studies were contacted for access to full texts and were later recorded as ‘studies awaiting classification’ due to lack of response. All studies were imported in Endnote version 20 and an appropriate database was created from all extracted data in Microsoft Excel. Overall, 149 studies published between 1992 and 2022 were included.

Methodological and risk of bias assessment

Of the 149 included studies, 35 were deemed low quality, 59 moderate quality, and 55 high quality. Overall, studies were deemed of moderate-to-high quality with negative commonalities arising across several domains (see Supplementary file). The most common domains that were absent or unclear from studies included sample size justification (n = 127), categorization of nonresponders (n = 130), information about nonresponders (n = 137), clear determination of statistical significance (n = 56), discussion of limitations (n = 22), and disclosure of ethical approval or consent (n = 21).

Characteristics of included studies

Of all included studies, 131 assessed men and women, 11 assessed men only and seven assessed women only. Eighty-three studies assessed subsets of data from 12 prospective longitudinal cohorts (see Supplementary file). The remaining 66 studies assessed data from individual study cohorts. Studies were conducted across 26 countries with the top five including USA (n = 67), UK (n = 23), China (n = 7), Australia (n = 4), and Brazil (n = 4).

Participant characteristics

Studies included in this review incorporated a total of 129 274 participants, who were pooled for analysis. The weighted mean age of participants was 54.5 ± 3.9 years, weighted mean BMI was 27.19 ± 4.6 kg/m2, and weighted mean height and weight were 171.4 ± 7.1 cm and 78.7 ± 14.6 kg, respectively.

In studies that provided data according to sex (n = 56), 39 325 men and 40 678 women were included. Weighted mean BMI for men and women was 25.7 ± 3.4 and 24.5 ± 4.3 kg/m2, respectively. Weighted mean age for men was 58.9 ± 1.8 and 56.7 ± 1.9 years for women. Mean height and weight were not available.

Blood pressure and hypertension

The pooled weighted mean SBP and DBP for all participants were 130.5 ± 12.1 and 80.8 ± 7.6 mmHg, respectively. Men had a higher SBP (128.2 ± 6.2 vs. 121.8 ± 8.2 mmHg) and DBP (82.7 ± 0 vs. 77.4 ± 1.5 mmHg) compared with women.

Hypertension was most commonly defined using the ESC definition (n = 30). Alternative definitions included American Heart Association (AHA) (n = 8), use of antihypertensive medication (n = 12), and self-reported hypertension (n = 10). Seven studies did not provide a working definition (see Tables 2 and 3). A total of 46 706 participants were classified as hypertensive, with 1553 classified as prehypertensive; 3968 were taking antihypertensive medication. More women were identified as hypertensive (8423 individuals compared with 7516 men) and prehypertensive (108 individuals compared with none in the male group). A higher number of men than women reported taking antihypertensive medication (951 vs. 800). A total of 18 931 participants were normotensive, with a higher proportion of women than men reporting normal BP (2849 vs. 2682).

TABLE 2.

Summary Table of pooled weighted average for all cognitive measures and associated BP metrics at baseline (i.e., midlife).

Cognitive variable No. of studies Weighted average (Mean ± SD) Age (Mean ± SD; years) S BP (Mean ± SD; mmHg) SBP category status (ESC) DBP (Mean ± SD; mmHg) DBP category status (ESC)
Memory Verbal Memory Total: n = 21
Immediate: n = 3,
Delayed: n = 11,
STW: n = 1,
EBM: n = 2,
RAVLT (Immediate &
Delayed recall, Learning & Summary Score): n = 2,
SRT: n = 1,
ROCF (Immediate & Delayed): n = 1,
CERAD (Immediate & Delayed): n = 1,
CVLT (Immediate & Delayed): n = 1
WLL: n = 1
Immediate: Total = 9.9, men = 5.7 ± 1.1, women = 4.6 ± 1.5
Delayed: Total = 6.2 ± 1.5 men = 9.9 ± 2.9, women = 12.7 ± 3.7
STW: Total = 50.5
EBM: Total = 10, Female = 10.2
RAVLT (Immediate & Delayed recall): Total = 7.1 ± 2.7
RAVLT (Learning Score): Total = 36.8 ± 8.3
RAVLT (Summary Score): Total = 8.8 ± 3.2
SRT: Total = 34.3
ROCF (Immediate): Total = 16.1 ± 7.6
ROCF (Delayed): Total = 14.9 ± 7.8
CERAD (Immediate): Total = 7.2 ± 1.1
CERAD (Delayed): Total = 7.7 ± 1.5
CVLT (Immediate): Total = 8.8 ± 2.1
CVLT (Delayed): Total = 8.8 ± 3.2
WLL: Total = 20.5 ± 0.5
Total = 52.7 ± 4.8 men = 53.2 ± 4.9, women = 52.4 ± 4.5 Total = 124.2 ± 16.8, men = 123.7 ± 15.6, females = 120.9 ± 16.8
Delayed: Total = 121.6 ± 17.1, males = 123.7 ± 15.6, females: 120.9 ± 16.8
Immediate: -
STW: -
EBM: -
RAVLT (Immediate & Delayed recall, Learning Score): Total = 131.2 ± 16.1
SRT: Total = 134.1 ± 16.9
ROCF (Immediate & Delayed): Total = 131.2 ± 16.1
CERAD (Immediate & Delayed): Total = 127.9 ± 20.7
CVLT (Immediate & Delayed): Total = 127.9 ± 20.7
WLL: Total = 123.7 ± 17.6
Total = Normal, men = Normal, women = Normal
Delayed: Total = Normal, men = Normal, women = Normal
Immediate: -
STW: -
EBM: -
RAVLT (Immediate & Delayed recall, Learning Score): Total = High Normal
SRT: Total = High Normal
ROCF (Immediate & Delayed): Total = High Normal
CERAD (Immediate & Delayed): Total = Normal
CVLT (Immediate & Delayed): Total = Normal
WLL: Normal
Total = 82.7 ± 10.3
Delayed: Total = 74.8 ± 10.5
Immediate: -
STW: -
EBM: -
RAVLT (Immediate & Delayed recall, Learning Score): Total = 83.4 ± 10.7
SRT: Total = 88.8 ± 10.2
ROCF (Immediate & Delayed): Total: 83.4 ± 10.7
CERAD (Immediate & Delayed): Total = 88.8 ± 10.6
CVLT (Immediate & Delayed): Total = 88.8 ± 10.6
WLL: 77.2 ± 8.1
Total = Normal
Delayed: Total = Optimal
Immediate: -
STW: -
EBM: -
RAVLT (Immediate & Delayed recall, Learning Score): Total = Normal
SRT: Total = High Normal
ROCF (Immediate & Delayed): Total = Normal
CERAD (Immediate & Delayed): Total = High Normal
CVLT (Immediate & Delayed): Total = High Normal
WLL: Optimal
Episodic Memory Total: n = 4 Total = 5.9 ± 2.3 Total = 51.7 ± 6.1, men = 50.3 ± 8, women = 51 ± 8.1 Total = High Normal
Semantic Memory Total: n = 1 Total = 15.6 ± 2.9
men = 15.2 ± 3.0, women = 16 ± 2.8
Total = 50.7 ± 8, men = 50.3 ± 8, women = 51 ± 8.1
Working Memory Total: n = 22
DSST: n = 8
Composite Score: n = 1
CMS Score: Total: n = 1
DSB Test: n = 7
McNS: n = 1
WDS: n = 1
MIS (MoCA): n = 1
VRT: n = 1
DSST: Total = 47.8 ± 7.9
Composite Score: men = 6.9 ± 2.3, women = 6.9 ± 2.72
CMS Score: Total = 76.6 ± 12.9
DSB Test: Total = 6.2 ± 1.9, men = 5, women = 5.3
McNS: Total = 27.7 ± 1.9
WDS: men = 38.6 ± 3.9, women = 38.9 ± 4.7
MIS (MoCA): Total = 12.72 ± 2.4
VRT: Total = 11.3
Total = 52.3 ± 4.2, males = 54.2 ± 4.9, females = 56 ± 4.9 Total = 123.4 ± 15.9, men = 123.5, women = 121.7
DSST: Total = 119.3 ± 15.6
Composite Score: men = 123.5, women = 121.7
CMS Score: -
DSB Test: Total = 132.7 ± 14.8
McNS: -
WDS: -
MIS (MoCA): -
VRT: Total = 134.1 ± 16.9
Total = Normal, males = Normal, females = Normal
DSST: Total = Optimal
Composite Score: men = Normal, women = Normal
CMS Score: -
DSB Test: Total = High Normal
McNS: -
WDS: -
MIS (MoCA): Not available
VRT: Total = High Normal
Total = 77.2 ± 9.9, men = 78.3, women = 75.1
DSST: Total = 73.2 ± 9.8
Composite Score: male = 78.3, female = 75.1
CMS Score: -
DSB Test: Total = 80.5 ± 9.1
McNS: -
WDS: -
MIS (MoCA): -
VRT: Total = 88.8 ± 10.5
Total = Optimal, men = Optimal, women = Optimal
DSST: Total = Optimal
Composite Score: men = Optimal, women = Optimal
CMS Score: -
DSB Test: Total = High Normal
McNS: -
WDS: -
MIS (MoCA): -
VRT: Total = High Normal
Attention Total: n = 11
TMT-A: n = 10
CRT: n = 4
SiRT: n = 3
DSF Test: n = 5
5-CMT: n = 1
TMT-A: Total = 24.8 ± 8.4
CRT: Total = 733.4 ± 153.8
SiRT: Total = 296.5 ± 64.6
DSF Test: Total = 7.5 ± 1.9
5-CMT: Total = 370.5
Total = 51.9 ± 4.3, men = 56.1 ± 3.7, women = 56.5 ± 3.6 Total = 130.5 ± 16.13
TMT-A: Total = 129.4 ± 15.9
CRT: Total = 134.1 ± 15.8
SiRT: Total = 134.8 ± 15.7
DSF Test: Total = 132.8 ± 17.1
5-CMT: Total = 129.4 ± 5.03
Total = High Normal
TMT-A: Total: = Normal
CRT: Total = High Normal
SiRT: Total = High Normal
DSF Test: Total = High Normal
5-CMT: Total = High Normal
Total = 81.04 ± 9.4
TMT-A: Total = 82.4 ± 9.3
CRT: Total = 79.03 ± 8.8
SiRT: Total = 78.2 ± 8.4
DSF Test: Total = 80.4 ± 10.8
5-CMT: Total = 83.4 ± 3.2
Total = Normal
TMT-A: Total = Normal
CRT: Total = Optimal
SiRT: Total = Optimal
DSF Test: Total = High Normal
5-CMT: Total = Normal
Intelligence Total: n = 6
WAIS: n = 1
IQ: n = 2
MR: n = 1
WAIS: Total = 17 ± 3
IQ: Total = 104.08 ± 18.5
MR: Total = 18.13
Total = 54.7 ± 4.7 Total = 125.7 ± 17.5
WAIS: Total = 124 ± 18
IQ: Total = 149.9 ± 13.4
MR: Total = 126.7 ± 13.7
Total = Normal
WAIS: Total = Normal
IQ: Total = Grade 1 Hypertension
MR: Total = Normal
Total = 84.4 ± 7.3
WAIS: -
IQ: Total = 90.3 ± 6.9
MR: Total = 77.3 ± 6.9
Total = High Normal
WAIS: -
IQ: Total = Grade 1 Hypertension
MR: Total = Optimal
Executive Function
Letter Cancellation
Total: n = 2
LSST: n = 1
LCCS: n = 1
LSST: Total = 282
LCCS: Total = 50 ± 7.3
Total = 52.66 ± 2.59 Total = 129.7 ± 17.1
LSST: Total = 134.8 ± 17.9
LCCS: Total: 118.58 ± 15.25
Total = High Normal
LSST: Total = High Normal
LCCS: Total = Optimal
Total = 77.2 ± 9.7
LSST: Total = 77.2 ± 9.7
LCCS: -
Total = Optimal
LSST: Total = Optimal
LCCS: -
Verbal Fluency Total: n = 15
WFT: n = 10
BNT: n = 2
MVT: n = 2
PFT: n = 2
SFT: n = 2
VIS (MoCA): n = 1
BeDT: n = 1
BuDT: n = 1
WFT: Total = 31.3 ± 8.2, men = 25.7 ± 6.4, women = 24.8 ± 6.2
BNT: Total = 27.1 ± 1.9
MVT: Men = 25.8 ± 3.7, women = 23.3 ± 5.4
PFT: men = 17.1 ± 4.3, women = 16.8 ± 4.8
SFT: men = 16.7 ± 3.9, women = 16.02 ± 4.6
VIS (MoCA): Total = 6.48 ± 0.92
BeDT: men = 12, women: 12
BuDT: men = 7, women: 6
Total = 52.9 ± 5.3, men = 51.2 ± 4.9, women = 52.9 ± 4.9 Total = 123.7 ± 16.5, men = 128.7 ± 16.2, women = 122.6 ± 17
WFT: Total = 123.7 ± 16.4, men = 128.7 ± 16.2, women = 122.6 ± 17
BNT: Total = 123.7 ± 17.6
MVT: -
PFT: -
SFT: -
VIS (MoCA): -
BeDT: Total = 126.7 ± 12.9
BuDT: Total = 126.7 ± 12.9
Total: Normal, men: Normal, women: Normal
WFT: Total = Normal, men = Normal, women = Normal
BNT: Total = Normal
MVT: -
PFT: -
SFT: -
VIS (MoCA): -
BeDT: Total = Normal
BuDT: Total = Normal
Total = 77.8 ± 12.1
WFT: Total = 77.8 ± 12.1
BNT: 77.2 ± 8.1
MVT: -
PFT: -
SFT: -
VIS (MoCA): -
BeDT: Total = 77.2 ± 7.8
BuDT: Total = 77.2 ± 7.8
Total = Optimal
WFT: Total = Optimal
BNT: Optimal
MVT: -
PFT: -
SFT: -
VIS (MoCA): -
BeDT: Total = Optimal
BuDT: Total = Optimal
Processing speed Total: n = 19
TMT-B: n = 9
TrB-A: n = 1
STIT: n = 2
WMT: n = 1
CES: n = 3
RVP (CANTAB & Isolated): n = 1
SCWT: n = 1
EIS (MoCA): n = 1
VSS: n = 1
LT: n = 1
TMT-B: Total = 93.9 ± 2.7
TrB-A: Total = 1.14
STIT: Total = 42.9 ± 1.5
WMT: Total = 2.25 ± 1.09
CES: Total = 57.1 ± 0.1
RVP (CANTAB): Total = 0.92, 333.61 ± 88.01
SCWT: Total = 19.1
EIS (MoCA): Total = 11.64 ± 1.42
VSS: male = 302.02 ± 74.5, female = 323.5 ± 74.5
LT: men = 39.77 ± 17.8, women = 45.51 ± 26.6
Total = 52.5 ± 5.1, men = 56.9 ± 3.8, women = 54.1 ± 3.5 Total = 130.4 ± 14.6, men = 128.7 ± 16.2, women = 122.7 ± 16.9
TMT-B: Total = 131.6 ± 16.9, Female = 123.3 ± 16.3
TrB-A: Total = 138.3 ± 8.4
STIT: Total = 131.2 ± 16.1, male = 128.7 ± 16.2,female = 122.6 ± 17
WMT: Total = 133.3 ± 16.9
CES: Total = 121
RVP (CANTAB): -
SCWT: male = 128.7 ± 16.2, female: 122.6 ± 17
EIS (MoCA): -
VSS: Total = 138.3 ± 8.4
LT: -
Total = High Normal, men = Normal, women = Normal
TMT-B: Total = High Normal, female = Normal
TrB-A: Total = High Normal
STIT: Total = High Normal, male = Normal, female = Normal
WMT: Total = High Normal
CES: Total = Normal
RVP (CANTAB): -
SCWT: men = Normal, female = Normal
EIS (MoCA): -
VSS: Total = High Normal
LT: -
Total = 85.7 ± 8.7, women = 77.4 ± 9.34
TMT-B: Total = 87.5 ± 10.4, Female = 77.4 ± 9.34
TrB-A: Total = 86.1 ± 6.5
STIT: Total = 83.3 ± 10.7
WMT: Total = 84.1 ± 12.3
CES: Total = 76.5
RVP (CANTAB): -
SCWT: -
EIS (MoCA): -
VSS: Total = 86.1 ± 6.5
LT: -
Total = High Normal, women = Optimal
TMT-B: Total = High Normal, female = Optimal
TrB-A: Total = High Normal
STIT: Total = Normal
WMT: Total = Normal
CES: Total = Optimal
RVP (CANTAB): -
SCWT: -
EIS (MoCA): -
VSS: Total = High Normal
LT: -
Global Cognition Total: n = 23
MMSE: n = 13
MoCA: n = 7
IQCODE: n = 1
CAMCOG: n = 1
NART: n = 1
MINT: n = 1
IST: n = 1
BPP: n = 1
ACE: n = 1
HRS-CS: n = 1
CERAD: n = 1
MMSE: Total = 27.8 ± 0.6
MoCA: Total = 24.9 ± 3.1
IQCODE: Total = 43.38 ± 3.01
CAMCOG: Total = 90
NART: Total = 28, male = 35.13 ± 9.5, female = 35.5 ± 9.1
MINT: Total = 30.25
IST: Total = 32.4
BPP: Total = 46.9
ACE: Total = 94.9
HRS-CS: Total = 14.31 ± 4.06, male = 14.2 ± 4.15, female = 14.44 ± 3.96
CERAD: Total = 81.6 ± 0.9
Total = 54.5 ± 5.3, men = 58.6 ± 2.8, women = 58.2 ± 2.8 Total = 131.5 ± 16.6
MMSE: Total = 133.2 ± 16.7
MoCA: Total = 118.3 ± 15.03
IQCODE: Total = 124.05 ± 15.6
CAMCOG: Total = 140.8 ± 19.3
NART: Total = 140.8 ± 19.3
MINT: Total = 126.7 ± 12.9
IST: -
BPP: -
ACE: -
HRS-CS: -
CERAD: Total = 119.9 ± 11.8
Total = High Normal
MMSE: Total = High Normal
MoCA: Total = Optimal
IQCODE: Total = Normal
CAMCOG: Total = Grade 1 Hypertension
NART: Total = Grade 1 Hypertension
MINT: Total = Normal
IST: -
BPP: -
ACE: -
HRS-CS: -
CERAD: Total = Optimal
Total = 81.14 ± 10.08
MMSE: Total = 82.6 ± 10.02
MoCA: Total = 72.4 ± 10.4
IQCODE: Total = 73.9 ± 9.06
CAMCOG: Total = 88.7 ± 12.6
NART: Total = 88.7 ± 12.6
MINT: Total = 77.2 ± 7.8
IST: -
BPP: -
ACE: -
HRS-CS: -
CERAD: Total = 77.2 ± 8.1
Total = Normal
MMSE: Total = High Normal
MoCA: Total = Optimal
IQCODE: Total = Optimal
CAMCOG: Total = High Normal
NART: Total = High Normal
MINT: Total = Optimal
IST: -
BPP: -
ACE: -
HRS-CS: -
CERAD: Total = Optimal
Inductive Reasoning Total: n = 4 AH-4: Total = 52.02 ± 8.5. male = 49.2 ± 9.5, female = 42.9 ± 11.6 Total = 52.56 ± 2.95, males = 49.5 ± 5.9, females = 49.86 ± 5.9 Total = 126.6 ± 15.2, male = 122.4 ± 15.5, female = 119.6 ± 16.7 Total = Normal, male = Normal, female = Optimal Total = 82.4 ± 10.3 Total = Normal
Psychomotor Speed Total: n = 5 SDMT: Total = 56.1 ± 11.2, male = 48.2 ± 13.7, female = 50.5 Total = 52.3 ± 5.2, women = 50.01 ± 2.6 Total = 133.8 [SE: 0.3], Female = 123.3 ± 16.3 Total = High Normal, female = Normal Total = 82.9 [SE: 0.2], female = 77.4 ± 9.34 Total = Normal, female = Optimal
Visuospatial Organisation Total: n = 5
BDT: n = 2
VIS MoCA: n = 1
CDT: n = 1
BDT: Total = 16.9 ± 0.1
VIS MoCA: Total = 6.48 ± 0.92
CDT: male = 28 ± 5, female = 55 ± 10
Total = 52.2 ± 5.7 Total = 128.5 ± 16.2
BDT: Total = 131.1 ± 15.2
VIS MoCA: -
CDT: -
Total = Normal
BDT: Total = High Normal
VIS MoCA: -
CDT: -
Total = 82.9 ± 9.4
BDT: Total = 82.9 ± 9.4
VIS MoCA: -
CDT: -
Total = Normal
BDT: Total = Normal
VIS MoCA: -
CDT: -

5-CMT, Choice Movement Test; ACE, Addenbrooke's cognitive examination; AH-4, Alice Heim 4-I; BDT, Block Design Test; BeDT, Benson Delay Test; BNT, Boston Naming Test; BP, Blood Pressure; BPP, Børge Priens Prøve; BuDT, Buschke Delay Test; CAMCOG, Cambridge Cognition Examination; CANTAB, Cambridge Neuropsychological Test Automated Battery; CDT, Clock Drawing Test; CERAD, Consortium to Establish a Registry for Alzheimer's Disease; CES, Composite Executive Score; CMS, Chinese Clinical Memory Scale; CRT, Choice Reaction Time; CVLT, California Verbal Learning Test DSB, Digit Span Backwards; DSF, Digit Span Forward; DSST, Digit Symbol Substitution Test; EBM, East Boston Memory Test; EIS, Executive Index Score; HRS-CS, U.S. Health and Retirement Study Composite Score; IQ, Intelligence Quotient; IQCODE, Informant Questionnaire on Cognitive Decline in the Elderly; IST, Intelligenz-Struktur-Test; LCCS, Letter Cancellation Composite Score; LSST, Letter Search Speed Test; LT, Labyrinth Test; McNS, McNair Survey; MINT, Multilingual Naming Test; MIS, Memory Index Score; MMSE, Mini-Mental State Exam; MoCA, Montreal Cognitive Assessment; MR, Mental Rotation Test; MVT, Mill Hill Vocabulary Test; NART, National Adult Reading Test; PFT, Phonemic Fluency Test; RAVLT, Rey Auditory Verbal Learning Test; ROCF, Rey–Osterreith complex figure; RVP, Rapid Visual Processing; SCWT, Stroop Colour Word Test; SDMT, Symbol Digits Modalities Test; SFT, Semantic Fluency Test; SiRT, Simple Reaction Time; SRT, Selective Reminding Test; STIT, Stroop Test (Interference Time); STW, Spot the Word Test; TMT-A, Trail making Test Part A; TMT-B, Trail making Test Part B; TrB-A, Trail making Test Difference between Part B and A; VIS, Visuospatial Index Score; VRT, Visual Reproduction Test; VSS, Visual Search Speed; WAIS, Wechsler Adult Intelligence Scale; WDS, WAIS-IV Digit Sequencing; WFT, Word Fluency Test; WLL, Word List Learning; WMT, Word Matching Test.

TABLE 3.

Summary of all studies with negative relationships between hypertension and cognitive measures at midlife.

Author Year Study design Setting Study quality Participants Cognitive variables Relationship
. 2020 Cross sectional ELSA; Brazil High n = 5275
Age = 56.3
Memory, executive function, temporal orientation, and global cognition - (Executive function and global cognition)
Alves de Moraes 2002 Longitudinal follow-up ARIC Study; USA Low n = 8058
Age = 56.7 (5.6)
Memory and executive function - (Memory and executive function)
Bangen et al. 2013 Cross-sectional analysis of longitudinal Framingham Study; USA High n = 1436 (men = 660, women = 775)
Age = 54 (9)
Memory, executive function, global cognition, and visuospatial organisation - (Executive function, attention, visuospatial organisation)
Bayes-Marin et al. 2020 Longitudinal Edad con Salud; Spain High n = 633 (men = 304, women = 329)
Age = 56.6
Memory - (Memory)
Bressler et al. 2013 Prospective cohort study ARIC Study; USA Low White: n = 8364 (men = 3859, women = 4505); African-American: n = 2083 (men = 716, women = 1367)
Age: White = 57 (5.6); African-American = 55.8 (5.7)
Memory and executive function - (Memory and executive function)
Cerhan et al. 1998 Longitudinal cohort ARIC Study; USA Moderate N = 13913

Aged 45--64
Memory and executive function - (Women only: Memory and executive function)
Chen et al. 2015 Cross-sectional analysis of longitudinal WHAP Study; Australia High n = 247
Age = 50.1 (2.6)
Executive function, psychomotor speed, and memory - (Executive function, psychomotor speed, memory)
Cui et al. 2016 Case--control Guangzhou, China Moderate Hypertensive: n = 278; Controls = 155
Age: Hypertensive = 54.2 (4.2); Controls = 55.8 (5.5)
Intelligence and global cognition - (Intelligence, global cognition)
de Menezes et al. 2021 Longitudinal follow-up ELSA Study; Brazil High n = 7063
Age = 58.9 (5.9)
Memory, executive function, and global cognition
- (Memory, executive function, global cognition)
Debette et al. 2011 Prospective Framingham Study; USA Moderate n = 1352 (men = 6634, women = 718)
Age = 54 (9)
Memory and executive function
- (Executive function)
Derby et al. 2021 longitudinal study of the menopause transition SWAN, USA Moderate N = 1139

Age = 53.4 (2.6)
Memory and executive function - (Women only: Memory and executive function)
Dixon et al. 2021 longitudinal epidemiological study SWAN, USA Moderate European American (n = 1000) African-American (n = 516) Asian American (n = 437)

Age:
European American = 45.95 (2.73)
African American = 45.88 (2.61)
Asian American = 46.11 (2.58)
Memory and executive function - (Memory and executive function)
Elkins et al. 2005 Prospective ARIC Study; USA High n = 12 096 (men = 12 039, women = 57)
Age = 57 (5.7)
Memory and executive function
- (Memory)
Elmassry et al. 2015 Cross sectional Egypt Moderate Patients: n = 85 (men = 40, women = 45); Controls: n = 60 (men = 27, women = 33)
Age: Patient = 43.9 (6.2); Control = 45 (9)
Memory, executive function, and global cognition - (Memory, executive function, global cognition)
Gerasimenko et al. 2017 Cross sectional Ukraine Low Patients: n = 102; Controls: n = 20
Age: Patients = 49.8 (0.8); Controls = 52.2 (1.9)
Memory and global cognition - (Global cognition)
Giugliano et al. 2018 Randomized, control trial Pozzilli, Italy Low Active Treatment: n = 18 (men = 13, women = 5); Control: n = 18 (men = 14, women = 4)
Age: Active Treatment = 58.2 (8); Control = 57.9 (6.7)
Executive function, and global cognition - (Executive function, global cognition)
Gonzalez et al. 2018 Prospective, epidemiologic ARIC Study; USA Moderate n = 13 720 (men = 5873, women = 7397)
Age = 54.1 (5.7)
Memory, executive function, and global cognition
- (Memory, executive function, global cognition)
Gottesman et al. 2017 Prospective ARIC Study; USA High n = 15 744 (men = 7054, women = 8690)
Age = 54.2 (5.8)
Memory, executive function, and global cognition - (Global cognition)
Gottesman et al. 2014 Prospective ARIC Study; USA High Normal BP = 4, 322 + 779 = 5101 (men = 2195, women = 2908)
Pre HT = 2274 + 601 = 2,875 (men = 1388, women = 1487)
HT = 3651 + 1849 = 5500 (men = 2401, women = 3099)
Age: Normal BP = 55(7), Prehypertensive = 56 (8), Hypertensives 57 (8)
Memory, executive function, and global cognition - (Memory, executive function, global cognition)
Gourley et al. 2020 Cross-sectional Texas; USA Moderate n = 132 (men = 59, women = 73)
Age = 49 (6)
Memory, executive function, intelligence, and attention - (Memory, executive function)
Gupta et al. 2008 Cross-sectional Jaipur; India Moderate n = 85 (men = 59, women = 26)
Age = 52 (7.5)
Memory, executive function, global cognition, and attention - (Memory, executive function, and global cognition; Systolic hypertension: attention, executive function)
Hajjar et al. 2016 Longitudinal, USA Moderate n = 291 (men = 191, women = 400)
Age = 48.8 (0.4)
Memory, executive function, attention, global cognition, and visuospatial organisation - (Memory, executive function)
Hoffmann et al. 2021 Longitudinal Recall Study; Germany High Normal BP: n = 692 (men = 242, women = 450); Incident hypertension T1: n = 366 (men = 175, women = 191);
Incident hypertension T2: n = 245 (men = 109, women = 136); Temporary hypertension: n = 329 (men = 183, women = 209); Prevalent hypertension: n = 1145 (men = 635, women = 510)
Age: Normal BP = 55.2 (6.6); Incident hypertension T1 = 57.8 (7.1); Incident Hypertension T2: 56.5 (6.6);
Temporary hypertension = 57.6 (7.1);
Prevalent hypertension = 60.2 (7.1)
Memory, executive function, and visuospatial organization - (Memory)
Houle et al. 2019 Cross-sectional analysis of longitudinal HAALSI Study; South Africa Moderate n = 2059 (men = 2345, women = 2714)
Age = 40--59
Memory, executive function, attention, global cognition, and temporal orientation - (Memory, executive function, attention)
Jenkins et al. 2021 Longitudinal CARDIA study; USA Moderate N=578 (men = 255, women = 323)
Age: 55 (4)
Memory, executive function, global cognition, and psychomotor speed - (Global cognition)
Jia et al. 2021 Cross-sectional China Moderate Total: N = 4923

Age: 55–64: N = 2043
Global Cognition - (Global Cognition)
Kaffashian et al. 2013 Prospective Whitehall II Study; UK High n = 4374 (men = 3162, women = 1212)
Age = 55.2 (5.1)
Memory, executive function, attention, global cognition, and inductive reasoning - (Attention, executive function, global cognition, inductive reasoning)
Kaffashian et al. 2011 Prospective Whitehall II Study; UK High n = 4827 (men = 3486, women = 1341)
Age: men = 55.1 (5.9), women = 55.3 (5.9)
Memory, executive function, attention, global cognition, and inductive reasoning - (Global cognition)
Kivipelto et al. 2001 Prospective and cross-sectional analysis of population-based, longitudinal study with a large cohort of individuals North Karelia Project and FINMONICA study; Finland High Total: N = 1449; MCI: N = 82, Without MCI: N = 1270

Age:
Midlife: MCI = 51.7 (5.8); Without MCI = 50.1 (6.0)
Late life: MCI = 72.8 (4.1), Without MCI = 71.0 (3.9)
Memory, attention, executive function, and global cognition - (Global Cognition)
Knopman et al. 2001 Longitudinal ARIC Study; USA Low n = 10 882 (men = 6978, women = 3904)
Age = 56.8 (5.7)
Memory and executive function - (Memory, executive function)
Knopman et al. 2018 Longitudinal ARIC Study; USA Low n = 10 882 (men = 8723, women = 7137)
Age = 51.4 (4.9)
Memory and executive function
- (Memory, executive function)
Knopman et al. 2009 Longitudinal ARIC Study; USA Moderate n = 1130 (men = 429, women = 701)
Age = 59 (4.3)
Memory and executive function - (Memory, executive function)
Kovacs et al. 2014 Cross sectional Hungary Moderate Hypertensive = 72; Controls = 85
Age: Hypertensive = 43.6; Controls = 43.6
Memory, executive function, attention, psychomotor speed, and visuospatial organisation - (Attention, memory, executive function, psychomotor speed, visuospatial organisation)
Kumar et al. 2008 Cross-sectional study PATH Through Life Project; Australia Moderate Diabetic individuals: N = 39; Nondiabetic individuals: N = 428

Age:
Diabetic individuals = 62.62 (1.16)
Nondiabetic individuals = 62.55 (1.48)
Memory, attention, global cognition, and psychomotor speed - (Psychomotor Speed)
Kumari et al. 2005 Longitudinal Whitehall II Study, UK Moderate N: NGT: men = 3407, women = 1334; IGT: males = 405, females = 192; Diabetes: males = 208, females = 101
Age: NGT: men = 55.1, women = 55.7; IGT: men = 58.2, women = 57.8; Diabetes: men = 57.9, women = 58.9
Memory, inductive reasoning, and executive function - (Inductive reasoning, executive function)
Lane et al. 2019 Longitudinal Insight 46; UK High n=499 (men = 255, women = 244)

Age at cognitive testing = 70.7 (0.7)
Memory, executive function, and global cognition - (Global cognition)
Leong et al. 2020 Prospective, longitudinal TILDA; Ireland Moderate Non hypertensive: n = 2280 (men = 848, women = 1432); Hypertensive w/o medication: n = 2823 (men = 1420, women = 1403); Hypertensive with medication: n = 3070 (men = 1495, women = 1595)
Age: Non hypertensive = 59.5; Hypertensive w/o medication = 62.7; Hypertensive with medication = 68.1
Attention, Global cognition - (Global cognition)
Mahinrad et al. 2020 Longitudinal CARDIA Study; USA Moderate n = 191 (men = 104, women = 87)
Age = 56 (4)
Memory, executive function, and attention - (Memory, executive function, attention)
Olaya et al. 2019 Longitudinal ELSA; UK High n = 4372 (men = 2023, women = 2349)
Age = 56.8 (4.1)
Memory - (Memory)
Palacios-Mendoza et al. 2018 Cross-sectional Guayaquil, Ecuador High Diabetes: n = 142 (men = 65, women = 76); No diabetes: n = 167 (men = 116, women = 50)
Age: Diabetes = 59.9 (4.2); No Diabetes = 59.9 (3.8)
Memory, executive function, intelligence, and attention - (Memory)
Pan et al. 2018 Longitudinal CHARLS; China Low n = 1825 (45–54 = 962, 55–64 = 863)
Age = 56.9 (8)
Memory and global cognition - (Memory, global cognition)
Passos et al. 2021 Cross-sectional study nested within the PróSaúde cohort study Pró-Saúde study, Rio de Janeiro, Brazil Moderate Total: N = 488, Male = 235, Female = 253

Age groups:
45–54 = 243
55–64 = 145
Memory, executive function, and global cognition - (Memory, executive function, and global cognition)
Rose et al. 2010 Prospective, epidemiologic ARIC Study; USA Low OH No = 12 050; OH Yes = 652
Age: OH No = 53.9; OH Yes = 57.3
Memory and executive function - (Memory, executive function)
Rouch et al. 2019 Prospective VISAT Cohort Study; France Moderate n= 3201
Controlled hypertension: n= 83 (men = 32, women = 51); Uncontrolled hypertension: n = 223 (men = 140, women = 83); Untreated hypertension: n = 784 (men = 551, women = 233); No hypertension: n= 2111 (men = 919, women = 1192)

Age: Controlled hypertension = 51.3 (9.3); Uncontrolled hypertension = 54.3 (7.7); Untreated hypertension = 48.6 (10.1); No hypertension = 42.3 (9.4)
Memory, attention, executive function, global cognition, and psychomotor speed - (Global cognition)
Sands et al. 1992 Longitudinal Intergenerational Studies from IHDB, California; USA Low n= 103
Age: 55.4 (3.41)
Memory, attention, executive function, and visuospatial organisation - (Attention)
Sha et al. 2018 Longitudinal CHARLS; China High n= 9750 Memory and global cognition - (Global cognition)
Sierra et al. 2004 Cross sectional Barcelona; Spain High Without WML: n = 37 (men = 24, women = 13); With WML: n = 23 (men = 14, women = 9)
Age: Without WML = 53.9 (3.5); With WML = 55.2 (4.2)
Intelligence, memory, and attention - (Attention)
Singh-Manoux et al. 2005 Cross sectional analysis of longitudinal Whitehall II Study; UK Moderate n = 5838
Age: men = 43.9 (5.9), women = 44.4 (6)
Memory, executive function, and inductive reasoning - (Memory, executive function, inductive reasoning)
Suemoto et al. 2021 Cross-sectional analysis of longitudinal ELSA; Brazil High n= 12 271
Age: 51.3 (8.9)
Poor (0–2 metrics) n= 6483 (men = 3190, women = 3293; Intermediate (3–4 metrics) n= 4757 (men = 1955, women = 2802); Optimal (5–7 metrics) n = 1031 (men = 332, women = 699)

Age:
Poor (0–2 metrics) = 53.4 (8.6); Intermediate (3–4 metrics) = 49.7 (8.7); Optimal (5–7 metrics) = 45.8 (7.4)
Memory, executive function, and global cognition - (Memory, attention, executive function, global cognition)
Suvila et al. 2021 Prospective CARDIA Study; USA High n = 2496 (men = 534, women = 1689)
Age = 55.1 (3.6)
Memory, executive function, psychomotor speed, and global cognition - (Psychomotor speed, memory, executive function, global cognition)
Swan et al. 1998 Prospective, longitudinal NHLBI Twin Study; USA Moderate n= 392; 71 MZ and 61 DZ intact pairs; 128 singletons Memory, executive function, global cognition, and psychomotor speed - (Global cognition, psychomotor speed)
Swan et al. 1998 Longitudinal Western Collaborative Group Study, USA Moderate n= 717

Midlife SBP categorized by Later life SBP (n = Low < 120 mmHg, Medium 120–139 mmHg, High ≥140 mmHg):
Low < 120 mmHg: 73, 173, 113
Medium 120–139 mmHg: 20, 119, 165
High ≥140 mmHg: 2, 16, 36

Long-term Change in SBP midlife-to-later life:
Normals (n = 553–643)
High-High (n = 30–36)
Decreased (n = 31–38)
Memory, executive function, and psychomotor speed - (SBP increase: Memory)
Szczesnia et al. 2020 Longitudinal PURE Study; Poland High n = 547 (men = 195, women = 352)
Age = 56.2 (6.5) [men = 55.1 (6.8), women = 56.9 (6.3)]
Attention, executive function, psychomotor speed, and global cognition - (Psychomotor speed, executive function, global cognition)
Wang et al. 2016 Cross sectional APAC Study; China High n = 3048 (men = 1727, women = 1321)
Age = 57.9 (11.1)
Global cognition - (Global cognition)
Wei et al. 2018 Cross-sectional CHARLS; China High n = 6732 Memory and global cognition - (Memory, global cognition)
Wod et al. 2018 Cross-sectional analysis of longitudinal MADT; Denmark High n = 4132 (men = 2120, women = 2012)
Age: 56.6 (men = 56.6, women = 56.6)
Memory, executive function, and attention - (Memory, executive function, attention)
Wolf et al. 2007 Observational Framingham Study; USA Low n = 1814 (men = 854, women = 960)
Age = 52.6 (7.9)
Memory, executive function, and visuospatial orientation - (Memory, executive function)
Zhang et al. 2019 Cross sectional CHARLS; China Low No Diabetes: n = 7151; Controlled Diabetes: n = 232; Untreated Diabetes = 185; Treated Diabetes = 241
Age: No Diabetes = 59.5 (9.5)
Memory, executive function, and global cognition - (Memory, executive function)

a, AHA; b, ESC; c, self-report; d, antihypertensive medication use; e, SBP >150 mmHg or DBP >95 mmHg.

0, no association; -, negative association; +, positive association

ACE, Akershus Cardiac Examination; APAC, Asymptomatic Polyvascular Abnormalities Community; ARIC, Atherosclerosis Risk in Communities; ASCEND, A Study of Cardiovascular Events in Diabetes; Barcelona-AsIA, Asymptomatic Intracranial Atherosclerosis; BHS, Bogalusa Heart Study; BIP, Bezafibrate Infarction Prevention; BP, blood pressure; CARDIA, Coronary Artery Risk Development in Young Adults; CHARLS, China Health and Retirement Longitudinal Study; DBP, diastolic blood pressure; ELSA, Brazilian Longitudinal Study of Adult Health; ELSA, English Longitudinal Study of Ageing; HAALSI, Health and Aging in Africa; HANDLS, healthy Aging in Neighborhoods of Diversity Across the Life Span; HHP, Honolulu Heart Program; IHDB, Institute of Human Development in Berkeley; KALS, Kaohsiung Atherosclerosis Longitudinal Study; KEEPSCog, Kronos Early Estrogen Prevention cognitive; KIHD, Kuopio Ischaemic Heart Disease Risk Factor Study; MACS, Multicentre AIDS Cohort Study; MADT, Middle-Aged Danish Twins; MDCS, Malmö Diet and Cancer Study; MORGEN, Monitoring Project on Cardiovascular Disease Risk Factors; MRC, Medical Research Council; NHLBI, National Heart, Lung, and Blood Institute; NSHD, National Survey of Health and Development; PATH, Population Assessment of Tobacco and Health; PURE, prospective Urban and Rural Epidemiological; RECALL, Risk Factors, Evaluation of Coronary Calcium and Lifestyle; SBP, systolic blood pressure; Swan, Study of Women's Health Across the Nation; TILDA, The Irish Longitudinal Study on Ageing; VETSA, Vietnam Era Twin Study of Aging; VISAT, Vieillissement Santé Travail (Aging, Health and Work); WHAP, Women's Health Aging Project.

Associations between hypertension status at midlife and measures of cognition at later life

Of the 12 longitudinal study cohorts, 10 evaluated midlife hypertension and cognitive function at later life. A negative relationship was reported by qualitative analysis among domains including, memory (n = 8), executive function (n = 4), attention (n = 3), global cognition (n = 5), visuospatial organization (n = 1), and psychomotor speed (n = 1) (see Table 1).

TABLE 1.

Summary of longitudinal studies with negative or null relationship between hypertension and cognitive measures at later life.

Ref. Year Setting Study quality Cognitive variables Relationship
Anstey et al. 2014 PATH through Life; Australia High Memory, attention, executive function, global cognition, and psychomotor speed - (Memory, attention, global cognition, psychomotor speed)
Bangen et al. 2013 Framingham Study; USA High Memory, executive function, global cognition, and visuospatial organisation (Executive function, attention, visuospatial organization)
Bayes-Marin et al. 2020 Edad con Salud; Spain High Memory - (Memory)
Brunner et al. 2017 Whitehall II Study; UK Low Global Cognition - (Global Cognition)
de Menezes et al. 2021 ELSA Study; Brazil High Memory, executive function, and global cognition - (Memory, executive function, global cognition)
Derby et al. 2021 SWAN, USA Moderate Memory and executive function - (Women only: Memory and executive function)
Dixon et al. 2021 SWAN, USA Moderate Memory and executive function - (Memory and executive function)
Hajjar et al. 2016 USA Moderate Memory, executive function, attention, global cognition, and visuospatial organisation 0
Hoffmann et al. 2021 Recall Study; Germany High Memory, executive function, and visuospatial organization - (Memory)
Kazlauskaite et al. 2020 SWAN; USA Moderate Memory and psychomotor speed - (Memory, executive function)
Kesse-Guyot et al. 2015 SU.VI.MAX study; France High Memory, attention, executive function, and global cognition 0
Kivipelto et al. 2001 North Karelia Project and FINMONICA study; Finland High Memory, attention, executive function, and global cognition - (Global Cognition)
Leong et al. 2020 TILDA; Ireland Moderate Attention, Global cognition - (Global cognition)
Lin et al. 2020 KALS; Taiwan High Global cognition, memory, executive function, visuospatial orientation and attention 0
Lutski et al. 2019 BIP Neurocognitive Study; Israel High Memory, executive function, attention, global cognition and visuospatial organization 0
Olaya et al. 2019 ELSA; UK High Memory - (Memory)
Power et al., 2017 ARIC Study; USA High Memory and executive function - (Memory, global cognition)
Rouch et al. 2019 VISAT Cohort Study; France Moderate Memory, attention, executive function, global cognition, and psychomotor speed - (Global cognition)
Swan et al. 1998 NHLBI Twin Study; USA Moderate Memory, executive function, global cognition, and psychomotor speed - (Global cognition, psychomotor speed)
Swan et al. 1998 Western Collaborative Group Study, USA Moderate Memory, executive function, and psychomotor speed - (Global cognition)
Szoeke et al. 2016 WHAP; Australia Moderate Memory (Memory)
Zhang et al. 2019 CHARLS; China Low Memory, executive function, and global cognition (Memory, executive function)

0, no association; -, negative association; +, positive association.

ACE, Akershus Cardiac Examination; APAC, Asymptomatic Polyvascular Abnormalities Community; ARIC, Atherosclerosis Risk in Communities; ASCEND, A Study of Cardiovascular Events in Diabetes; Barcelona-AsIA, Asymptomatic Intracranial Atherosclerosis; BHS, Bogalusa Heart Study; BIP, Bezafibrate Infarction Prevention; BP, blood pressure; CARDIA, Coronary Artery Risk Development in Young Adults; CHARLS, China Health and Retirement Longitudinal Study; DBP, diastolic blood pressure; ELSA, Brazilian Longitudinal Study of Adult Health, FINMONICA, Finnish Multinational Monitoring of Trends and Determinants in Cardiovascular Disease; ELSA, English Longitudinal Study of Ageing; HAALSI, Health and Aging in Africa; HANDLS, healthy Aging in Neighborhoods of Diversity Across the Life Span; HHP, Honolulu Heart Program; IHDB, Institute of Human Development in Berkeley; KALS, Kaohsiung Atherosclerosis Longitudinal Study; KEEPSCog, Kronos Early Estrogen Prevention cognitive; KIHD, Kuopio Ischaemic Heart Disease Risk Factor Study; MACS, Multicentre AIDS Cohort Study; MADT, Middle-Aged Danish Twins; MDCS, Malmö Diet and Cancer Study; MORGEN, Monitoring Project on Cardiovascular Disease Risk Factors; MRC, Medical Research Council; NHLBI, National Heart, Lung, and Blood Institute; NSHD, National Survey of Health and Development; PATH, Population Assessment of Tobacco and Health; PURE, prospective Urban and Rural Epidemiological; RECALL, Risk Factors, Evaluation of Coronary Calcium and Lifestyle; SBP, systolic blood pressure; Swan, Study of Women's Health Across the Nation; TILDA, The Irish Longitudinal Study on Ageing; VETSA, Vietnam Era Twin Study of Aging; VISAT, Vieillissement Santé Travail (Aging, Health and Work); WHAP, Women's Health Aging Project.

From the 67 independent study cohorts, 10 evaluated the relationship between midlife hypertension and later life cognition. Three studies reported negative relationships for memory and visuospatial organisation and a further three studies also found a negative relationship for executive function, global cognition, and psychomotor speed. No relationship was found between hypertension and any measure of cognition in four studies.

Findings on the relationship between midlife hypertension and later life cognition did not differ by study quality. Longitudinal studies of moderate-to-high quality reported a negative relationship between midlife hypertension and later life cognition mainly in memory, executive function, and global cognition (see Table 1).

In summary, midlife hypertension was found to negatively impact on cognitive function across multiple domains at later life assessed by qualitative analysis, irrespective of study design or quality.

Associations between hypertension and measures of cognition at midlife

Table 2 details mean pooled weighted outcomes for all measures of cognition and associated BP and hypertension values.

Conflicting findings were reported on the relationships between midlife hypertension and cognitive function at midlife by qualitative analysis (see Tables 2 and 3). A similar number of studies reported no relationship or a negative relationship for cognitive domains, including attention, memory, inductive reasoning, and visuospatial organisation. Reports of no relationship were more common in the case of intelligence (n = 5, 83%), global cognition (n = 17, 74%), and executive function (n = 25, 75%). A negative relationship was more commonly reported for psychomotor speed (n = 5, 71%).

There were no discernible differences in reported relationships between midlife hypertension and midlife cognition based on study design (individual cohorts vs. large cohorts) or by study quality (low vs. moderate vs. high) (see Tables 2 and 3).

Meta analyses

All meta-analyses performed reflect the association between midlife hypertension diagnosis and midlife cognition. There were insufficient data available for meta-analyses including later life cognition (Fig. 2). Fifteen studies across four cognitive domains (memory, executive function, attention, and global cognition) were suitable for meta-analysis. A total of 12 919 participants were classified as hypertensive and 21 342 as normotensive. High levels of heterogeneity (I2 ≥75%) was identified for all four cognitive domains. Hypertension diagnosis had a negative effect on memory compared to normotension (MD = −0.06; 95% CI = −0.20 to 0.08; I2 = 0%). Hypertension diagnosis had no effect on attention compared to normotensives (MD = 0.41; 95% CI = 0.26 to 0.56; I2 = 18%). Hypertension diagnosis had a negative effect on executive function (MD = −0.02; 95% CI = −0.08 to 0.03; I2 = 36%). Hypertension diagnosis negatively impacted global cognition compared to normotensive status (MD = −0.24; 95% CI = −0.28 to −0.21; I2 = 12%) (see Fig. 3). Study quality or study design had no influence on meta-analyses findings for all four measures (Tables 4 and 5).

FIGURE 2.

FIGURE 2

Forest plot examining the overall effect of hypertension status vs. normotension status. (a) Memory function. (b) Attention. (c) Executive function. (d) Global cognition.

FIGURE 3.

FIGURE 3

Funnel plots representing hypertensive vs. normotensive individuals and their effect on cognition in midlife. (a) Memory; (b) Attention; (c) Executive function; (d) Global cognition. SMD, standardized mean difference; SE, standard error.

TABLE 4.

Summary of studies with a null or positive relationship between hypertension and cognitive measures at midlife.

Author Year Study design Setting Study quality Participants Cognitive variables
Babaei et al. 2013 RCT Iran Low n = 52 (28 patients and 24 controls)
Age = 57.1 (5.9)
Memory
Backestrom et al. 2015 Retrospective, cross-sectional Betula Prospective Cohort Study, Sweden Moderate n = 291 (men = 127, women = 164)
Age = 50.7 (8) [men = 50.3 (8), women = 51 (8.1)]
Memory
Bahchevanov et al. 2021 Cross-sectional District of Plovdiv, Bulgaria High n = 112
Without MetS: n = 67 (men = 18, women = 49)
With MetS: n = 45 (men = 24, women = 21)

Age:
Without MetS = 49.87 (3.36)
With MetS = 50.29 (3.26)
+ (lower SBP and DBP: memory, executive function, and global cognition)
Boots et al. 2015 Cross-sectional WRAP; USA High n = 315 (men = 102, women = 213)
Age = 58.58 (6.3)
Memory, executive function, visuospatial organization, and global cognition
Carmichael et al. 2019 Community-based cohort study Bogalusa Heart Study (BHS), USA Low N = 50

Age = 48.8 (4.7)
Memory, attention, and executive function
Chen et al. 2018 Longitudinal ARIC-NCS Study; USA High n = 12 515 (men = 5334, women = 6981)
Age = 56.9 (5.7)
Memory and executive function
Christman et al. 2011 Prospective ARIC Study; USA Moderate n = 8958 (men = 3943, women = 5015)
Age = 56.5 (5.6)
Memory and executive function
Cohen-Manheim et al. 2016 Cross-sectional Jerusalem LRC Study; Israel High n = 507 (men = 343, women = 164)
Age = 49.9 (0.8)
Memory, executive function, and attention
Dearborn-Tomazos et al. 2019 Longitudinal observational ARIC Study; USA Low n = 13 588 (men = 3000, women = 7588)
Age = 54.6 (5.7)
Memory, executive function, and global cognition
Dounavi et al. 2022 Cross-sectional analysis of longitudinal multisite study PREVENT-Dementia study; Ireland & UK Low Total: N = 701 (n = 600 analysable)

Age = 51.2 (5.4)
Global cognition
Elbaz et al. 2014 Longitudinal Whitehall II Study; UK High n = 4699 (men = 3,324, women = 1375)
Age = 48.6 (5.8)
Inductive reasoning
Fava et al. 2013 Prospective longitudinal Italy Low Total: n = 96 (Group A = 48, Group B = 48)
Age: Group A = 53 (7), Group B = 54.6 (8.1)
Memory, executive function, global cognition
Ferguson et al. 2018 Cross-sectional CARDIA Study; USA Moderate n = 634 (men = 305, women = 329)
Age = 50.4 (3.5)
Memory and executive function
Ford et al. 2010 Longitudinal SWAN; USA Moderate n = 2003
Age = 50 (2.6)
Memory and psychomotor speed
Fuh et al. 2007 Matched, case–control study from a population-based cohort Kinmen Women-Health Investigation (KIWI); Kinmen, Taiwan Low Normal (N = 144) Impaired glucose tolerance (N = 68) Diabetes mellitus (N = 72)

Age:
Normal = 47.9 (4.3) Impaired glucose tolerance = 46.8 (4.1) Diabetes mellitus = 47.9 (4.3)
Memory, attention, and executive function
Gerber et al. 2021 Multicentre, population-based cohort study CARDIA study, USA Low Overall (n = 2809); Liver attenuation: No NAFLD >51 HU (n = 2136); Mild NAFLD >40–51 HU (n = 392); Severe NAFLD ≤40 HU (n = 281)

Overall Age = 50.1 (3.6); Liver attenuation: No NAFLD >51 HU = 50.0 (3.7); Mild NAFLD >40–51 HU = 50.3 (3.6); Severe NAFLD ≤40 HU = 50.5 (3.6)
Memory and executive function
Haley et al. 2010 Cross-sectional USA Moderate n = 38
Age = 50 (6.4)
Global cognition, intelligence, memory, attention, executive function, and psychomotor speed
Hossain et al. 2020 Cross-sectional analysis of longitudinal HANDLS Study; USA High n = 128 (men = 102, women = 126)
Age: men = 57.1 (0.5), women = 56 (0.8)
Memory, attention executive function and global cognition
Ihle-Hansen et al. 2019 Prospective ACE Study; Norway High n = 3413 (men = 1774, women = 1639)
Age = 63.9 (0.65) [men = 63.9 (0.66), women = 63.9 (0.63)]
Global cognition
John et al. 2021 Longitudinal cohort National Child Development Study (NCDS), UK High N = 3730

Age = 44
Memory, and executive function
Kazlauskaite et al. 2020 Longitudinal SWAN; USA Moderate n = 2149 (all women); No MetS = 1514, MetS = 635)
Age = 50.7 (2.9); No MetS = 50.6 (2.8), MetS = 51.1 (3.2)
Memory and psychomotor speed
Kesse-Guyot et al. 2015 Longitudinal (Observational Follow-up) SU.VI.MAX study; France High n = 2788 (men = 1480, women = 1308)

Age at cognitive evaluation:
men = 66.0 (4.5), women = 65.1 (4.6)
Memory, attention, executive function, and global cognition
Kilander et al. 2000 Longitudinal Sweden Low n = 2322
Age = 50 years

n = 1860
Age = 60 years
+ (Low DBP: attention, executive function, psychomotor speed, and shifting capacity
Kohde et al. 2012 Cross-sectional, case--control India Moderate n = 120 (60 patients and 60 controls)
Age: patients = 53.7 (6.9), controls = 52.1 (6.2)
Attention
Kumar et al., 2020 Longitudinal ASCEND; UK Low n = 80
Age = 59
Global cognition, attention, executive function, memory and global cognition
Launer et al., 2015 Cross-sectional CARDIA Study; USA Low n = 680
Age = 50.3 (3.5)
Memory and executive function
Lin et al. 2020 Longitudinal KALS; Taiwan High n = 528
Age = 53.9 (8.4)
Global cognition, memory, executive function, visuospatial orientation, and attention
Liu et al. 2022 Prospective Neck-Shoulder and Lumbocrural Pain Hospital and the Affiliated Hospital of Shandong University of TCM; China Moderate Overall: n = 156; Controls = 64, SCI = 92

Age: Controls = 57.1 (6.3); SCI = 57.6 (6.7)
General Cognition
Lopez-Oloriz et al. 2014 Population-based AsIA Neuropsychology Study; Spain Low n = 95
Age = 59.9 (3.3)
Executive function, psychomotor speed and global cognition
Lutski et al. 2019 Longitudinal BIP Neurocognitive Study; Israel High T1: n = 588, T2: n = 337
Age: T2 = 56.6 (6.4)
Memory, executive function, attention, global cognition and visuospatial organisation
Mefford et al. 2021 Multicenter longitudinal, prospective CARDIA study, USA Moderate N = 3328
Time-averaged LDL-C levels over follow-up, mg/dl: < 100 (n = 519) 100–129 (n = 1094) 130–159 (n = 961) ≥160 (n = 754)

Age:
Time-averaged LDL-C levels over follow-up, mg/dl: <100 = 46.9 (3.2); 100–129 = 49.2 (3.5); 130–159 = 51.1 (3.1); ≥160 = 52.6 (2.5)
Memory, attention, and executive function
Meyer et al. 2022 Cross-sectional analysis of longitudinal, cohort study CARDIA study, USA Moderate N = 597

Age = 55.2 (3.5)
Memory, executive function, and global cognition
Moore et al. 2014 Longitudinal VETSA, Thailand High n = 651 (all men)
Age = 55.3 (3.1)
Executive function, memory, visuospatial organization, and intelligence
Nation et al. 2016 Longitudinal Subset of Framingham Offspring Cohort; USA High n = 549 (men = 257, women = 292)

Age: 59.6 (2.7)
Memory, attention, executive function, and visuospatial organization
Nunley et al. 2017 Prospective, observational Pittsburgh Epidemiology of Diabetes Complications Study; USA High N = 108

Age = 49.52 (7.04)
Memory, attention, executive function, global cognition, intelligence, and psychomotor speed
Olaya et al. 2017 Longitudinal ELSA; UK High n = 5523
Age = 50--64
Memory
Palta et al. 2019 Prospective ARIC Study; USA Moderate No PA: n = 1996 (men = 795, women = 1201); Low: n = 774 (men = 247, women = 497); Middle: n = 669 (men = 295, women = 404); High: n = 1194 (men = 733, women = 461)
Age: No PA = 59.1 (5.4); Low = 59.4 (5.6) Middle = 60.6 (5.9); High = 60.2 (5.8)
Memory and executive function
Panigrahi et al. 2021 Cross-sectional New Delhi, India Moderate N = 80 (men = 31, women = 49)
Age = 51.71 (7.15)
Global Cognition
Pokharel et al. 2019 Prospective ARIC Study; USA Moderate n = 18 222 Memory and executive function
Power et al. 2017 Prospective ARIC Study; USA High n = 15 792
Age = 57.5 (5.7)
Memory and executive function
Ravona-Springer et al. 2020 Prospective longitudinal Israel Registry for Alzheimer Prevention (IRAP) study; Israel Moderate Total: N = 483; FH+ = 379, FH- = 104

Age: FH+ = 54.55 (6.76), FH- = 56.42 (6.19)
Memory, executive function, and global cognition
Rawlings et al. 2014 Prospective ARIC Study; USA Moderate n = 13 351
Age = 48--67
Memory, executive function, and global cognition
Reis et al. 2013 Cross-sectional CARDIA study; USA Moderate Total: N = 2510; Coronary artery calcified plaque: Present = 686, Absent = 1824; Abdominal aortic calcified plaque: Present = 1297, Absent = 1213

Age:
Coronary artery calcified plaque: Present = 51.1 (3.3), Absent = 49.6 (3.7); Abdominal aortic calcified plaque: Present = 50.6 (3.6), Absent = 49.5 (3.7)
Memory, attention, and executive function
Richards et al. 2005 Longitudinal MRC NSHD, UK Low n = 1764
Age = 43 and 53
Memory and executive function
Ritchie et al. 2017 Cross sectional PREVENT Dementia Program; UK Low Non-FH: n = 107 (men = 35, women = 71); FH: n = 103 (men = 29, women = 73)
Age: Non-FH = 52.7; FH = 53.3
Memory, executive function, visuospatial organization, and attention
Root et al. 2015 Prospective, epidemiological ARIC Study; USA Moderate n = 10 041
Age = 53.5
Memory and executive function
Salama et al. 2019 Cross-sectional study Egypt Moderate Total: N = 186; MCI: N = 14, Normal: N = 172

Age:
<50: N = 65
50 - <55: N = 64
55 - <60: N = 42
60–65: N = 15
Global cognition
Salzwedel et al. 2019 Prospective, observational Germany High n = 401 (men = 321, women = 80)
Age = 54.5 (6.3)
Global cognition
Singh-Manoux et al. 2003 Longitudinal Whitehall II Study; UK Moderate n = 10 308 (men = 6896, women = 3411)
Age = 44.45
Memory, executive function, and inductive reasoning
Singh-Manoux et al. 2009 Cross-sectional and prospective follow up of longitudinal cohort study Whitehall II study; UK High n = 5292 (men = 3810, women = 1481)
Age: CHD = 59.4 (5.5); No CHD = 55.2 (5.9)
+ (Lower BP Status: memory, attention, and executive function)
Swan et al. 1998 Longitudinal Western Collaborative Group Study, USA Moderate n=717

Midlife SBP categorized by Later life SBP (n = Low <120 mmHg, Medium 120–139 mmHg, High ≥140 mmHg):
Low <120 mmHg: 73, 173, 113
Medium 120–139 mmHg: 20, 119, 165
High ≥140 mmHg: 2, 16, 36

Long-term change in SBP midlife-to-later life:
Normals (n = 553–643)
High-High (n = 30–36)
Decreased (n = 31–38)
+ (SBP decrease: psychomotor speed)
Tufvesson et al. 2013 Prospective MDCS; Sweden High n = 933 (men = 369, women = 564)
Age = 57.5 (5.7)
Global cognition
Tuligenga et al. 2014 Prospective, longitudinal Whitehall II study; UK Moderate Total: N = 5653; Normoglycaemia (n = 4703); Prediabetes (n = 648); Newly diagnosed diabetes (n = 115); Known diabetes (n = 187)

Age: Total = 54.4; Normoglycaemia = 55.1 (5.9); Prediabetes = 57.5 (6.1); Newly diagnosed diabetes 59.0 (6.1); Known diabetes = 57.4 (6.3)
Memory, executive function, and inductive reasoning
Vadini et al. 2020 longitudinal, randomized, controlled, parallel-arm study Italy Moderate Preliraglutide (n = 16) Prelifestyle (n = 16)

Age: Preliraglutide = 57 (49–64); Prelifestyle = 53 (52–58)
Memory, attention, executive function
Veugen et al. 2018 Observational, prospective Maastricht Study; Netherlands High n = 3011 (men = 1542, women = 1469
Age = 52 (5)
Memory, executive function and attention
Walker et al. 2019 Prospective ARIC Study; USA High n = 3012 (men = 1382, women = 1630)
Age = 55.5 (5.4)
Memory, executive function and psychomotor speed
Wang et al. 2018 Prospective epidemiological ARIC Study; USA High n = 13 720 Memory, executive function, and global cognition
Ward et al. 2005 Cross-sectional WRAP & UWM; USA High n = 114 (men = 44, women = 73)
Age = 54.2 (6.5)
+ (Low DBP: Episodic Learning)
Whitaker et al. 2021 Longitudinal Cohort study CARDIA study Moderate N = 1970 (men = 822, women = 1148)
Age = 45.27 (3.56)
Memory and executive function
Wieczorek et al. 2016 Prospective study Poland Moderate n = 74 (men = 44, women = 30)
Age = 59 (50–63)
Global cognition
Winkler et al. 2014 Population based RECALL Study; Germany Moderate n = 1089 (men = 515, women = 574)
Age = 58.4 (4.1)
Memory, executive function, and visuospatial orientation
Yang et al. 2018 Prospective MACS; USA Moderate n = 900 (all men) Psychomotor speed, attention, executive function, and memory
Ylilauri et al. 2017 Prospective KIHD; Finland High n = 2497 (all men)
Age = 42–60
Global cognition, attention
executive function and memory
Young et al. 2006 Longitudinal, observational ARIC Study; USA Moderate n = 7148 (men = 3173, women = 3975)
Age = 53.7
Memory and executive function
ZekiAlHazzouri et al. 2015 Prospective CARDIA Study; USA Moderate n = 2618 (men = 1125, women = 1493)
Age = 45.3 (3.6)
Memory and executive function

a, AHA; b, ESC; c, self-report; d, antihypertensive medication use.

0, no association; -, negative association; +, positive association

ACE, Akershus Cardiac Examination; APAC, Asymptomatic Polyvascular Abnormalities Community; ARIC, Atherosclerosis Risk in Communities; ASCEND, A Study of Cardiovascular Events in Diabetes; Barcelona-AsIA, Asymptomatic Intracranial Atherosclerosis; BHS, Bogalusa Heart Study; BIP, Bezafibrate Infarction Prevention; BP, blood pressure; CARDIA, Coronary Artery Risk Development in Young Adults; CHARLS, China Health and Retirement Longitudinal Study; DBP, diastolic blood pressure; ELSA, Brazilian Longitudinal Study of Adult Health HAALSI, Health and Aging in Africa; ELSA, English Longitudinal Study of Ageing; HANDLS, healthy Aging in Neighborhoods of Diversity Across the Life Span; HHP, Honolulu Heart Program; KALS, Kaohsiung Atherosclerosis Longitudinal Study; KEEPSCog, Kronos Early Estrogen Prevention cognitive; KIHD, Kuopio Ischaemic Heart Disease Risk Factor Study; MACS, Multicentre AIDS Cohort Study; MADT, Middle-Aged Danish Twins; MDCS, Malmö Diet and Cancer Study; MORGEN, Monitoring Project on Cardiovascular Disease Risk Factors; MRC, Medical Research Council; NSHD, National Survey of Health and Development; PATH, Population Assessment of Tobacco and Health; PURE, prospective Urban and Rural Epidemiological; .RECALL, Risk Factors, Evaluation of Coronary Calcium and Lifestyle; SBP, systolic blood pressure; SU.VI.MAX, SUpplémentation en VItamines et Minéraux AntioXydants; Swan, Study of Women's Health Across the Nation; TILDA, The Irish Longitudinal Study on Ageing; VETSA, Vietnam Era Twin Study of Aging and; WHAP, Women's Health Aging Project.

TABLE 5.

Summary of negative relationships between hypertension and cognition at midlife by study design and quality.

Study design Memory Attention Executive function Global cognition Psychomotor speed Intelligence Visuospatial organization
Individual Study Cohorts Bayes-Marin et al. (2020), Chen et al. (2015), Elmassry et al. (2015), Gourley et al. (2020), Gupta et al. (2008), Hajjar et al. (2016), Hoffmann et al. (2020), Houle et al. (2019), Kovacs et al. (2014), Palacios-Mendoza et al. (2018), Wod et al. (2018) Houle et al. (2019), Kovacs et al. (2014), Sierra et al. (2004), Wod et al. (2018), Sands et al. (1992) Aliberti et al. (2020), Chen et al. (2015), Elmassry et al. (2015), Giugliano et al. (2018), Gourley et al. (2020), Gupta et al. (2008), Hajjar et al. (2016), Houle et al. (2019), Kovacs et al. (2014), Wod et al. (2018) Aliberti et al. (2020), Cui et al. (2016), Elmassry et al. (2015), Gerasimenko et al. (2017), Giugliano et al. (2018), Gupta et al. (2008), Wang et al. (2016), Rouch et al. (2019) Chen et al. (2015), Kovacs et al. (2014) Cui et al. (2016) Kovacs et al. (2014)
Longitudinal Study Cohorts Olaya et al. (2019), Suvila et al. (2021), Zhang et al. (2019) - Suvila et al. (2021), Zhang et al. (2019 Suvila et al. (2021), Leong et al. (2020) Suvila et al. (2021) - -
Study Quality (n = ) Low: 9
Moderate: 12
High: 11
Low: -
Moderate: 4
High: 3
Low: 8
Moderate: 13
High: 8
Low: 3
Moderate: 6
High: 10
Low: -
Moderate: 1
High: 3
Low: -
Moderate: 1
High: -
Low: -
Moderate: 1
High: 1

DISCUSSION

This review aimed to investigate the relationship between midlife hypertension status and cognitive function at later life and midlife. Using qualitative analysis, our results indicate mixed and inconsistent findings across all cognitive domains, but predominantly favour negative relationships between midlife hypertension and later life cognition in some but not all domains, most notably memory, executive function, and global cognition. No relationship was observed for attention, inductive reasoning, visuospatial organization, or temporal orientation. There was conflicting evidence on the relationship between hypertension and cognitive function at midlife, irrespective of study quality and study design. Though qualitative analysis suggested no relationship between hypertension and memory or global cognition at midlife, findings from our meta-analyses indicate a negative relationship for memory, executive function, and global cognition and no relationship with attention.

The finding in this review that midlife hypertension affects later life cognition is consistent with previous research [1719], indicating accelerated cognitive decline with midlife hypertension, specifically memory, executive function, and global cognition. Growing evidence highlights the hypertension-cognition relationship is age-dependent [20,21]. Long-term hypertension spanning 25–30 years, initiated during middle-age, increases the likelihood of cognitive impairment in later life [19]. Evidence suggests elevated BP even during young adulthood can have deleterious effects on cognition among middle-aged adults [22]. Ageing plays a key role in functional adaptation to elevated BP, which precedes hypertension-induced microvascular damage and subsequent vascular cognitive impairment. Hypertension and ageing create a state of vulnerability suggested to alter hippocampal gene expression associated with cognitive decline and Alzheimer's Disease [23]. The findings presented here confirm previous reports that midlife hypertension negatively affects cognition in later life. However, our analysis reveals that select domains like memory are more notably affected than others. The hippocampus and entorhinal cortex are structures associated with learning and memory that are vulnerable to pathoanatomical and pathophysiological change in the presence of cardiovascular risk factors such as hypertension [24,25]. Impairments in working memory and the encoding of new long-term memories are reported with age-related cognitive decline [26]. Working memory declines with age are in line with the Baddeley model where processing or central executive components are negatively impacted [27]. Therefore, hypertension may limit attentional capacity, where older adults are less able to inhibit irrelevant information and cognitive correlates of efficiency and arousal become impaired with ageing, beginning as early as midlife [2832].

Neurocognitive tests can enable subtle detection of cognitive change before observable signs and symptoms develop, acting as robust indicators of pathological ageing. Our results provide evidence of significant consequences of midlife hypertension for the time course and progression of cognitive impairment, and possible neurological comorbidities including dementia and AD [33,34]. Similar to our later life findings, meta-analysis indicated memory, executive function, and global cognition at midlife were negatively affected by hypertension. Hypertension with increasing age primarily affects specific cognitive domains, such as memory and executive function, rather than overall cognitive function. In line with this finding, hypertension status among 207 late middle-aged adults was associated with age-related decline in verbal learning and memory, although hypertension was reported in only 19% of the study population [35]. Various forms of memory are thus subject to age-related and pathological decline with the rates of change highly varied [36]. Moreover, executive function also declines with age and is accelerated in late midlife, that is, after 65 years of age [37]. Decline in executive function is believed to precede reductions in memory by up to 18 years before diagnosis of AD and cognitive impairment [38], with longitudinal evidence from women in midlife showing a mean decline of 2% per year in memory [39]. The specific reasons behind the accelerated regional decline during midlife remain unclear. However, our results are supported by several hypothesized mechanisms, including higher aortic stiffness [40,41], adaptive vascular changes in cerebral blood flow and arterial pressure, and hypertension-induced neurovascular uncoupling [5,42,43]. The precise timing and onset of pathological features and concurrent cognitive decline remain to be adequately determined. However, emphasizing midlife as a focal point for intervention could potentially yield significant benefits.

Similar to previous research, we found conflicting evidence on the impact of hypertension and cognitive function at midlife [17,18,44]. Notably, our meta-analyses indicated no relationship between hypertension and attention at midlife, contradicting those of Ou et al. [17] possibly explained by the lower number of studies included in the previous review (range: 2–4 studies) compared with 15 studies in the present review. It is probable rather than possible that in studies where no relationship was reported, negative implications consequent to hypertension are not identifiable through cognitive testing at midlife. Greater duration of time since onset of hypertension is therefore associated with increased cognitive impairment, independent of age [19,45]. Theories of cognitive ageing and dynamics of neural networks, however, postulate the most basic of cognitive functions, such as attention, are affected by age. Attention at midlife was unaffected by midlife hypertension in our review. The majority of cognitive tests tend to incorporate more than one domain of cognitive function in any given task [46]. Deficits in early processing stages may influence additional co-domains in the later processing cognitive streams ultimately affecting global cognition from midlife into later life as seen in the present review. It is well known that attention is involved in most cognitive processes, therefore any impact on attention potentially causes downstream consequences affecting the ability to complete normal daily tasks. Early evidence reports those with hypertension exhibit deficits in memory and executive function but no apparent decline in continuity of attention, similar to our present findings [47]. A decline in attention in response to a synergy between age and hypertension has been found to increase with age but did not significantly differ between those with hypertension and those without [48]. Deficits in higher order processes, like attention, in the prefrontal cortex can impact memory function in later life with significant impairment in divided attention or switching attentional focus [4951]. This may be explained by the so-called ‘central executive control’, which has a role in virtually all cognitive functions from the allocation of attentional resources to the inhibition of irrelevant stimuli [52,53]. However, the stage from midlife onwards when cognitive changes begin to be exacerbated by the presence of hypertension, and how declining trajectories across select domains can be targeted with intervention strategies, remains to be identified at a population or an individual level.

Significant cognitive impairment should not be considered a normal part of the ageing process. As a modifiable risk factor, hypertension represents a key target for the prevention, delayed progression, and reduction of cognitive impairment in aging populations [5]. Attention at midlife was not negatively impacted by midlife hypertension as evident by meta-analysis but was affected in later life. Studies of ageing and neurocognition have reported age-related declines in attention [5457]. Our results highlight an inconsistent relationship between hypertension at midlife and a decline in attention in later life, similar to previous reports [5860]. Recent evidence from the National Health and Nutrition Examination Survey reports 70% of older adults are living with hypertension in comparison to just 32% of adults aged 40–59 years [61]. Management of previously untreated hypertension later in life cannot correct for the negative impact of decades of uncontrolled hypertension on cognitive function [62,63]. Hypertension may therefore contribute to, and even exacerbate, brain ageing via deterioration of neuroanatomical substrates and modulators among certain cognitive domains from midlife onwards [6467]. Our results support the hypothesis of significant variation of age-related cognitive trajectories across several domains, which may be exacerbated with long-term exposure to hypertension across the lifespan.

There are several limitations to this study. A range of tools assessing cognitive function were broadly categorized for one or several cognitive domains. Although some tests will incorporate multiple cognitive domains, for the purpose of this review each test was organised according to core cognitive functions. We did not investigate the biological underpinnings of reported cognitive impairments, only examining the qualitative relationship between hypertension status and cognitive function. Studies were of varied design and quality and data reporting limited the ability to perform meta-analysis. Furthermore, different BP values were used across studies for the classification of hypertension. Clearer reporting of data in primary studies will enable better quality systematic analysis in the future.

CONCLUSION

The risks of midlife hypertension to cognition across the adult lifespan are of considerable concern in the context of an ageing population. The variability across cognitive domains is apparent, such that midlife hypertension adversely affected memory, executive function, and global cognition in later life, and negatively affected the same select domains of memory, executive function, and global cognition, but not attention, at midlife. Further longitudinal and prospective studies are required to determine the specific timeframe at which cognitive decline in certain domains begins to manifest from midlife onward. This will help establish a clear window of hypertension duration during which cognitive impairment and the earliest affected cognitive domains become evident.

ACKNOWLEDGEMENTS

Joyce O. C. is first author having contributed to the data extraction, write up, and editing of the manuscript. C.McH. contributed equally to data extraction, write up, and editing of the manuscript. D.M. was responsible for formulating and running the search strategy for data collection from included articles. FW was responsible for the inception of the present review article and contributed to editing the manuscript. Kelly ÁM is the project Principal Investigator and final author and contributed to editing the manuscript.

This study was funded by the Faculty of Health Sciences, Trinity College Dublin.

Consent was not necessary given the nature of this article.

Within this article, all data collected and/or analysed during this review are included throughout and in the supplementary material.

This research was exempt from local ethical approval as only published data were pooled.

Appendices and supplementary tables in this review article contain extensive data. In line with the guidelines, the authors recommend they be published in the electronic version of the Journal of Hypertension and referenced in a footnote in the print edition. A cover letter, highlights, and research in context have also been provided in support of the preliminary review by the editor.

Conflicts of interest

No potential conflict of interest is reported by the author(s).

Supplementary Material

Supplemental Digital Content
jhype-42-205-s001.docx (164.6KB, docx)

Footnotes

Abbreviations: AHA, American Heart Association; AXIS, Appraisal Tool for Cross sectional Studies; BP, Blood Pressure; CI, Confidence Interval; ESC, European Society of Cardiology; MD, Mean Difference; PRISMA, Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines; SD, Standard Deviation; SE, Standard Error; TBI, Traumatic Brain Injury

Supplemental digital content is available for this article.

REFERENCES

  • 1.Matthews KA, Xu W, Gaglioti AH, Holt JB, Croft JB, Mack D, et al. Racial and ethnic estimates of Alzheimer's disease and related dementias in the United States (2015-2060) in adults aged≥ 65 years. Alzheimer Dement 2019; 15:17–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Ferri CP, Prince M, Brayne C, Brodaty H, Fratiglioni L, Ganguli M, et al. Global prevalence of dementia: a Delphi consensus study. Lancet 2005; 366:2112–2117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Livingston G, Huntley J, Sommerlad A, Ames D, Ballard C, Banerjee S, et al. Dementia prevention, intervention, and care: 2020 report of the Lancet Commission. Lancet 2020; 396:413–446. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Zhou B, Bentham J, Di Cesare M, Bixby H, Danaei G, Cowan MJ, et al. Worldwide trends in blood pressure from 1975 to 2015: a pooled analysis of 1479 population-based measurement studies with 19· 1 million participants. Lancet 2017; 389:37–55. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Iadecola C, Yaffe K, Biller J, Bratzke LC, Faraci FM, Gorelick PB, et al. Impact of hypertension on cognitive function: a scientific statement from the American Heart Association. Hypertension 2016; 68:e67–e94. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Walker KA, Power MC, Gottesman RF. Defining the relationship between hypertension, cognitive decline, and dementia: a review. Curr Hypertens Rep 2017; 19:24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Debette S, Seshadri S, Beiser A, Au R, Himali J, Palumbo C, et al. Midlife vascular risk factor exposure accelerates structural brain aging and cognitive decline. Neurology 2011; 77:461–468. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Köhler S, Baars MA, Spauwen P, Schievink S, Verhey FR, van Boxtel MJ. Temporal evolution of cognitive changes in incident hypertension: prospective cohort study across the adult age span. Hypertension 2014; 63:245–251. [DOI] [PubMed] [Google Scholar]
  • 9.Szcześniak D, Rymaszewska J, Zimny A, Sąsiadek M, Połtyn-Zaradna K, Smith EE, et al. Cerebral small vessel disease and other influential factors of cognitive impairment in the middle-aged: a long-term observational cohort PURE-MIND study in Poland. GeroScience 2021; 43:279–295. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Nations U. Department of Economic and Social Affairs. Population Division Population Ageing and Sustainable Development 2017. https://www.un.org/en/development/desa/population/publications/pdf/popfacts/PopFacts_2017–1.pdf. [Accessed 22 November 2022] [Google Scholar]
  • 11.Von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP, et al. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: guidelines for reporting observational studies. Int J Surg 2014; 12:1495–1499. [DOI] [PubMed] [Google Scholar]
  • 12.Williams B, Mancia G, Spiering W, Agabiti Rosei E, Azizi M, Burnier M, et al. 2018 ESC/ESH Guidelines for the management of arterial hypertension: the Task Force for the management of arterial hypertension of the European Society of Cardiology (ESC) and the European Society of Hypertension (ESH). Eur Heart J 2018; 39:3021–3104. [DOI] [PubMed] [Google Scholar]
  • 13.Downes MJ, Brennan ML, Williams HC, Dean RS. Development of a critical appraisal tool to assess the quality of cross-sectional studies (AXIS). BMJ Open 2016; 6:e011458. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.McHugh C, Hind K, Davey D, Wilson F. Cardiovascular health of retired field-based athletes: a systematic review and meta-analysis. Orthop J Sports Med 2019; 7:2325967119862750. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Everitt BS, Skrondal A. The Cambridge dictionary of statistics. 2010. [Google Scholar]
  • 16.Higgins JP, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med 2002; 21:1539–1558. [DOI] [PubMed] [Google Scholar]
  • 17.Ou Y-N, Tan C-C, Shen X-N, Xu W, Hou X-H, Dong Q, et al. Blood pressure and risks of cognitive impairment and dementia: a systematic review and meta-analysis of 209 prospective studies. Hypertension 2020; 76:217–225. [DOI] [PubMed] [Google Scholar]
  • 18.Forte G, Casagrande M. Effects of blood pressure on cognitive performance in aging: a systematic review. Brain Sci 2020; 10:919. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Power MC, Tchetgen EJT, Sparrow D, Schwartz J, Weisskopf MG. Blood pressure and cognition: factors that may account for their inconsistent association. Epidemiology (Cambridge, Mass) 2013; 24: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Waldstein SR. Hypertension and neuropsychological function: a lifespan perspective. Exp Aging Res 1995; 21:321–352. [DOI] [PubMed] [Google Scholar]
  • 21.Qiu C, Winblad B, Fratiglioni L. The age-dependent relation of blood pressure to cognitive function and dementia. The Lancet Neurology 2005; 4:487–499. [DOI] [PubMed] [Google Scholar]
  • 22.Yaffe K, Vittinghoff E, Pletcher MJ, Hoang TD, Launer LJ, Whitmer R, et al. Early adult to midlife cardiovascular risk factors and cognitive function. Circulation 2014; 129:1560–1567. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Csiszar A, Tucsek Z, Toth P, Sosnowska D, Gautam T, Koller A, et al. Synergistic effects of hypertension and aging on cognitive function and hippocampal expression of genes involved in (-amyloid generation and Alzheimer's disease. Am J Physiol Heart Circ Physiol 2013; 305:H1120–H1130. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Manolio TA, Olson J, Longstreth W. Hypertension and cognitive function: pathophysiologic effects of hypertension on the brain. Curr Hypertens Rep 2003; 5:255–261. [DOI] [PubMed] [Google Scholar]
  • 25.Shang X, Hill E, Zhu Z, Liu J, Ge BZ, Wang W, et al. The association of age at diagnosis of hypertension with brain structure and incident dementia in the UK Biobank. Hypertension 2021; 78:1463–1474. [DOI] [PubMed] [Google Scholar]
  • 26.Park DC, Smith AD, Lautenschlager G, Earles JL, Frieske D, Zwahr M, et al. Mediators of long-term memory performance across the life span. Psychol Aging 1996; 11:621. [DOI] [PubMed] [Google Scholar]
  • 27.Repovš G, Baddeley A. The multicomponent model of working memory: explorations in experimental cognitive psychology. Neuroscience 2006; 139:5–21. [DOI] [PubMed] [Google Scholar]
  • 28.Salthouse TA. When does age-related cognitive decline begin? Neurobiol Aging 2009; 30:507–514. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Glisky EL. Changes in cognitive function in human aging. Brain Aging 2007; 3–20. [PubMed] [Google Scholar]
  • 30.Hadar L, Trope Y, Ben-David BM. Aging impairs inhibitory control over incidental cues: a construal-level perspective. Psychol Sci 2021; 32:1442–1451. [DOI] [PubMed] [Google Scholar]
  • 31.Psychology Press, Braver TS, West R. Working memory, executive control, and aging. The handbook of aging and cognition. 2011; 319–380. [Google Scholar]
  • 32.Wecker NS, Kramer JH, Hallam BJ, Delis DC. Mental flexibility: age effects on switching. Neuropsychology 2005; 19:345–352. [DOI] [PubMed] [Google Scholar]
  • 33.van der Veen PH, Geerlings MI, Visseren FL, Nathoe HM, Mali WP, van der Graaf Y, et al. Hypertensive target organ damage and longitudinal changes in brain structure and function: the Second Manifestations of Arterial Disease–Magnetic Resonance Study. Hypertension 2015; 66:1152–1158. [DOI] [PubMed] [Google Scholar]
  • 34.Muller M, Van Der Veen P, Visseren F, Nathoe H, Mali W, Van Der Graaf Y, et al. Hypertensive target organ damage and longitudinal changes in brain structure and function in older patients with manifest cardiovascular disease: the SMART-MR study. Eur Heart J 2015; 36:894.25650395 [Google Scholar]
  • 35.Clark LR, Koscik RL, Allison SL, Berman SE, Norton D, Carlsson CM, et al. Hypertension and obesity moderate the relationship between β-amyloid and cognitive decline in midlife. Alzheimer Dement 2019; 15:418–428. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Healey MK, Kahana MJ. A four-component model of age-related memory change. Psychol Rev 2016; 123:23. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Rönnlund M, Lövdén M, Nilsson L-G. Cross-sectional versus longitudinal age gradients of Tower of Hanoi performance: the role of practice effects and cohort differences in education. Aging Neuropsychol Cogn 2007; 15:40–67. [DOI] [PubMed] [Google Scholar]
  • 38.Rajan KB, Wilson RS, Weuve J, Barnes LL, Evans DA. Cognitive impairment 18 years before clinical diagnosis of Alzheimer disease dementia. Neurology 2015; 85:898–904. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Karlamangla AS, Lachman ME, Han W, Huang M, Greendale GA. Evidence for cognitive aging in midlife women: study of women's health across the nation. PLoS One 2017; 12:e0169008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Zhang B, Wang Y, Wang B, Chu YH, Jiang Y, Cui M, et al. MRI-based investigation of association between cerebrovascular structural alteration and white matter hyperintensity induced by high blood pressure. J Magn Reson Imaging 2021; 54:1516–1526. [DOI] [PubMed] [Google Scholar]
  • 41.Wartolowska KA, Webb AJ. Blood pressure determinants of cerebral white matter hyperintensities and microstructural injury: UK Biobank Cohort Study. Hypertension 2021; 78:532–539. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Girouard H, Iadecola C. Neurovascular coupling in the normal brain and in hypertension, stroke, and Alzheimer disease. J Appl Physiol 2006; 100:328–335. [DOI] [PubMed] [Google Scholar]
  • 43.Jennings J, Muldoon M, Ryan C, Price J, Greer P, Sutton-Tyrrell K, et al. Reduced cerebral blood flow response and compensation among patients with untreated hypertension. Neurology 2005; 64:1358–1365. [DOI] [PubMed] [Google Scholar]
  • 44.Blom K, Emmelot-Vonk MH, Koek HDL. The influence of vascular risk factors on cognitive decline in patients with dementia: a systematic review. Maturitas 2013; 76:113–117. [DOI] [PubMed] [Google Scholar]
  • 45.Triantafyllou A, Ferreira JP, Kobayashi M, Micard E, Xie Y, Kearney-Schwartz A, et al. Longer duration of hypertension and MRI microvascular brain alterations are associated with lower hippocampal volumes in older individuals with hypertension. J Alzheimers Dis 2020; 74:227–235. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Mortamais M, Ash JA, Harrison J, Kaye J, Kramer J, Randolph C, et al. Detecting cognitive changes in preclinical Alzheimer's disease: a review of its feasibility. Alzheimers Dement 2017; 13:468–492. [DOI] [PubMed] [Google Scholar]
  • 47.Saxby BK, Harrington F, McKeith IG, Wesnes K, Ford GA. Effects of hypertension on attention, memory, and executive function in older adults. Health Psychol 2003; 22:587–591. [DOI] [PubMed] [Google Scholar]
  • 48.Madden DJ, Blumenthal JA. Interaction of hypertension and age in visual selective attention performance. Health Psychol 1998; 17:76–83. [DOI] [PubMed] [Google Scholar]
  • 49.Lustig C, Hasher L, Zacks RT. Inhibitory deficit theory: Recent developments in a “new view”. Inhibition in cognition. Washington, DC, US: American Psychological Association; 2007. p. 145–162. [Google Scholar]
  • 50.Madden DJ, Connelly SL, Pierce TW. Adult age differences in shifting focused attention. Psychol Aging 1994; 9:528. [DOI] [PubMed] [Google Scholar]
  • 51.Wiegand I, Töllner T, Dyrholm M, Müller HJ, Bundesen C, Finke K. Neural correlates of age-related decline and compensation in visual attention capacity. Neurobiol Aging 2014; 35:2161–2173. [DOI] [PubMed] [Google Scholar]
  • 52.Baddeley A. Fractionating the central executive. Principles of frontal lobe function. 2002; 246–260. [Google Scholar]
  • 53.Routledge, Baddeley AD. Exploring the central executive. Exploring working memory 2017; 253–279. [Google Scholar]
  • 54.Fjell AM, Sneve MH, Grydeland H, Storsve AB, Walhovd KB. The disconnected brain and executive function decline in aging. Cereb Cortex 2017; 27:2303–2317. [DOI] [PubMed] [Google Scholar]
  • 55.Posner MI, Rothbart MK, Ghassemzadeh H. Focus: attention science: restoring attention networks. Yale J Biol Med 2019; 92:139–143. [PMC free article] [PubMed] [Google Scholar]
  • 56.Goh JO, Beason-Held LL, An Y, Kraut MA, Resnick SM. Frontal function and executive processing in older adults: process and region specific age-related longitudinal functional changes. Neuroimage 2013; 69:43–50. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Goh JO, Park DC. Neuroplasticity and cognitive aging: the scaffolding theory of aging and cognition. Restor Neurol Neurosci 2009; 27:391–403. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Swan GE, Carmelli D, Larue A. Systolic blood pressure tracking over 25 to 30 years and cognitive performance in older adults. Stroke 1998; 29:2334–2340. [DOI] [PubMed] [Google Scholar]
  • 59.Swan GE, DeCarli C, Miller B, Reed T, Wolf P, Jack L, et al. Association of midlife blood pressure to late-life cognitive decline and brain morphology. Neurology 1998; 51:986–993. [DOI] [PubMed] [Google Scholar]
  • 60.Elias MF, Elias PK, Sullivan LM, Wolf PA, D’Agostino RB. Lower cognitive function in the presence of obesity and hypertension: the Framingham heart study. Int J Obes Relat Metab Disord 2003; 27:260–268. [DOI] [PubMed] [Google Scholar]
  • 61.Mozaffarian D, Benjamin EJ, Go AS, Arnett DK, Blaha MJ, Cushman M, et al. Heart disease and stroke statistics—2015 update: a report from the American Heart Association. Circulation 2015; 131:e29–e322. [DOI] [PubMed] [Google Scholar]
  • 62.Benetos A, Labat C, Rossignol P, Fay R, Rolland Y, Valbusa F, et al. Treatment with multiple blood pressure medications, achieved blood pressure, and mortality in older nursing home residents: the PARTAGE study. JAMA Intern Med 2015; 175:989–995. [DOI] [PubMed] [Google Scholar]
  • 63.Sera LC, McPherson ML. Pharmacokinetics and pharmacodynamic changes associated with aging and implications for drug therapy. Clin Geriatr Med 2012; 28:273–286. [DOI] [PubMed] [Google Scholar]
  • 64.Petersen SE, Posner MI. The attention system of the human brain: 20 years after. Annu Rev Neurosci 2012; 35:73. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Posner MI, Sheese BE, Odludaş Y, Tang Y. Analyzing and shaping human attentional networks. Neural Netw 2006; 19:1422–1429. [DOI] [PubMed] [Google Scholar]
  • 66.Niogi SN, Mukherjee P, Ghajar J, McCandliss BD. Individual differences in distinct components of attention are linked to anatomical variations in distinct white matter tracts. Front Neuroanat 2010; 4:2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Witte E, Davidson M, Marrocco R. Effects of altering brain cholinergic activity on covert orienting of attention: comparison of monkey and human performance. Psychopharmacology 1997; 132:324–334. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplemental Digital Content
jhype-42-205-s001.docx (164.6KB, docx)

Articles from Journal of Hypertension are provided here courtesy of Wolters Kluwer Health

RESOURCES