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. Author manuscript; available in PMC: 2020 Jul 13.
Published in final edited form as: Chronic Pain Manag. 2020 Jun 1;4:125. doi: 10.29011/2576-957x.100025

The Association of Beta-Blocker Use to Cognitive Impairment among Adults with Hypertension or Cardiovascular Diseases in the United States

Fnu Safarudin 1,2,*, Chibuzo O Iloabuchi 1, Amit Ladani 3, Usha Sambamoorthi 1
PMCID: PMC7357995  NIHMSID: NIHMS1603572  PMID: 32661512

Abstract

Background:

Some studies have shown that beta-blocker use is associated with better cognitive impairment. However, these studies did not control for pain. The relationship between pain and cognitive impairment has been exhaustively investigated. The association of beta blockers to cognitive impairment in the presence of chronic pain is still unknown.

Objective:

To examine the independent association of beta-blocker use to cognitive impairment among adults with hypertension or Cardiovascular Diseases (CVDs).

Methods:

We used a cross-sectional study design. We derived data on 8,279 adults from the 2015 Medical Expenditure Panel Survey (MEPS). Study participants were adults (age > 21 years), with hypertension or CVDs and without intracranial injury, Parkinson, Alzheimer’s disease and Related Dementia. Cognitive impairment was measured based on 1) confusion or memory loss; 2) problems making decisions, or 3) supervision for participant’s safety. Anti-hypertensive medications were categorized into 1) beta-blockers; 2) other anti-hypertensives; and 3) no antihypertensive medication. We used multivariable survey logistic regressions to examine the association between beta-blockers and cognitive impairment after controlling for biological factors, pain, chronic conditions, socioeconomic status, access to healthcare services, behavioral, socio-cultural and external environmental factors.

Results:

Overall, 24.2%, 41.9%, and 33.9% reported using beta-blockers, other antihypertensives, and no antihypertensive medications, respectively; 18.1% participants reported cognitive impairment. After controlling for pain, beta-blocker use was not significantly associated with cognitive impairment (AOR= 1.22, 95%CI= 1.00-1.49). In fully adjusted models, the AOR for beta-blockers use was 1.05 (95%CI = 0.84-1.31).

Conclusion:

In this first large cross-sectional study, we found that the use of beta-blockers was not associated with cognitive impairment. Future prospective studies that include pain management and blood pressure control are needed to confirm the findings.

Keywords: Antihypertensive medicines, Beta-blockers, Cardiovascular diseases, Cognitive impairment, Pain

Introduction

Cognitive impairment defined as difficulties in learning new things, remembering, concentrating, and making rational decisions affects nearly 16 million adults in the United States (US) [1]. Cognitive impairment has profound negative effects on patients, caregivers, healthcare providers, payers, and society [1-3]. Mild Cognitive Impairment (MCI) is a risk factor for Alzheimer disease and other dementias (ADRD) [4,5] and places excessive humanistic and financial burdens on both adults and their caregivers [6,7].

Many factors have been known to affect cognitive functioning, including age, race, sex, family history,, physical and mental health conditions, head trauma, smoking, physical inactivity, environmental factors, pain [8-14] and pharmacotherapies [15].

There are several plausible explanations of why the use of beta-blockers may favorably affect cognition. Beta-blockers inhibit the sympathetic nervous system by binding to beta-adrenergic receptors which lowers the hearts’ contractile force, dilates arterial vasculature, and lowers blood pressure [16]. As high blood pressure [17,18] and pathological vascular systems [19] have been shown to have harmful effects on cognitive function, it is plausible that beta-blockers may improve blood pressure and indirectly improve cognitive functioning. Gelber [20] and White [21] reported that beta-blocker use was associated with lower risks of cognitive impairment due to the effect of beta blockers on improved brain tissue functions.

Other studies have hypothesized that the use of adrenergic receptor antagonists may affect cognitive function through the pain pathway [15,22]. It is important to note that the association between pain and cognitive impairment is complex and involves changes to brain morphology, electrophysiology, neurotransmitters and receptors, glial cells, cytokines, enzymes, and neurotrophic factors [15]. Several pre-clinical and clinical studies have documented the association of chronic pain to cognitive impairment [14,15,23]. Whitlock and colleagues reported that respondents with persistent pain had 15% higher rates of memory decline compared to participants without pain [24]. In addition, higher levels of pain have been correlated with increased depressive symptoms and reduced neuropsychological test scores [25].

Recent observational studies have found that beta-blockers may reduce pain. For example, Valdes et al, used data from the Genetics of Osteoarthritis and Lifestyle study and found that among adults with osteoarthritis, those who used beta-blockers reported less joint pain and were less likely to use opioids and other analgesics compared to those who did not use beta-blockers [22].

To date, no study has evaluated the association of beta-blockers to cognitive impairment after controlling for chronic pain. Therefore, the primary objective of the current study is to explore the association of beta-blocker medication use to cognitive impairment after controlling for pain among adults with Cardiovascular Diseases (CVDs) or hypertension using a nationally representative sample of adults in the United States. Adults with hypertension or CVDs were chosen because they are more likely to receive beta-blockers for treatment of these conditions [16].

Methods

Study design

This study adopted a cross-sectional design.

Data source

We used data from the 2015 Medical Expenditure Panel Survey (MEPS), a household survey of non-institutionalized adults in the US [26]. The survey collects a variety of health-related information including individual socio-demographic characteristics, health conditions, healthcare use and expenditures, sources of payment and health insurance coverage. We combined data from MEPS Household Survey, Prescribed Medicines, and Medical Condition Files to create our analytical dataset.

Sample

Study participants were adults over 21 years with CVDs or hypertension. The cardiovascular conditions included were pulmonary heart disease, acute myocardial infarction, cardiomyopathy, coronary atherosclerosis, conduction disorders, cardiac dysrhythmias, congestive heart failure, cardiac arrest, ventricular fibrillation, and other ill-defined heart diseases. These conditions were measured based on Clinical Classification Code, International Classification of Diseases, Ninth Revision (ICD-9), and self-reported data (especially for hypertension) on MEPS. We excluded adults with missing information on cognitive impairment, (n = 158) individuals with intracranial injury, (n = 59) Parkinson’s disease or ADRD (n = 199) and individuals who died during the calendar year. The final sample size consisted of 8,279 adults with CVDs or hypertension.

Measures

Dependent variable: Cognitive Impairment

We identified the presence or absence of cognitive impairment from the household (full year consolidated) file based on the questions asking if the person (1) experienced confusion or memory loss, (2) had problems making decisions, or (3) required supervision for their own safety. We used codes COGLIM31, COGLIM53 – representing cognitive limitations (round 3/1 and 5/3), and Code DFCOG42 – representing serious cognitive difficulties (round 4/2). We categorized this into a binary variable Yes (cognitive limitation) and No (no cognitive limitation)

Key Independent Variables

Use of Beta-Blockers

We identified Beta-blockers and other antihypertensive medications using the prescribed medicines file. This file contains information on drug names, national drug code, drugs-supplied and other medication related information. Prescription drugs were classified into various therapeutic classes based on the proprietary “Multum Lexicon” files. Multum Lexicon provides a 3-level nested category system for each drug based on the ingredients [27]. Therapeutic classification code 47 represented beta-blockers and codes 42, 43, 48, 49, 53, 55, 56 represented other antihypertensives (ACE-inhibitor, alpha-adrenergic blockers, calcium channel blockers, diuretics, vasodilators, angiotensin receptor blockers, antihypertensive combinations, and angiotensin II inhibitors). This variable was categorized into three groups: (1.) Beta-Blockers (2.) other antihypertensives (3.) No antihypertensive medication.

Pain

A self-administered questionnaire was used to collect information on pain and other domains of health-related quality of life. Pain was measured using one item from the Short Form (SF)-12, asking how much pain “interfered with normal work (including both work outside the home and housework)” during the past 4 weeks prior to the interview. Responses were recorded using a 5-item Likert scale: 1) ‘Not at all’; 2) ‘A little bit’; 3) ‘Moderate’; 4) ‘Severe’; and 5) ‘Extreme’. We used this pain interference with activities as a proxy for chronic pain [28,29].

Other Independent Variables

Other variables that may influence cognitive impairment were selected based on the determinants of health model initially proposed by Park in the Textbook of Preventive and Social Medicine (2015) and published studies that examined factors associated with cognitive impairment. These included: biological characteristics like sex (female vs. male), age, categorized into 4 groups (21-44, 45-54, 55-64, 65 and older) and race (White, African American, Latino, and other), socio-economic factors like education (Less than high school, high school, and above high school) and poverty status (poor, near poor, middle income, and high income measured in terms of percentages of federal poverty line), socio-cultural factors like marital status (married, widowed, divorced/separated, and not married)], and behavioral factors like body mass index (underweight, normal, overweight, obese), physical activity (exercising five times/week and others), and smoking status (yes/ no).We also included variables of access to healthcare services, measured by health insurance (public, private, and uninsured) and prescription coverage (yes/no), medical conditions including the presence of asthma, chronic obstructive pulmonary disease (COPD), cancer, diabetes mellitus, mental health conditions (depression and anxiety), hypercholesterolemia, and arthritis (yes/no), and region of residence (Northeast, Midwest, South and West).

Statistical analysis

Statistically significant differences in cognitive impairment by type of antihypertensive medications were determined by Rao-Scott chi-square tests. Multivariable logistic regression models were used to assess the relationship between type of antihypertensive medications and cognitive impairment after controlling for sex, age, race, pain, education, poverty status, marital status, body mass index, physical activity, smoking status, health insurance, prescription coverage, asthma, Chronic Obstructive Pulmonary Disease (COPD), cancer, diabetes mellitus, mental health conditions (depression and anxiety), hypercholesterolemia, arthritis, region of residence. Since MEPS uses as complex survey design with clustering, stratification, and weights, we conducted all the analyses using the survey procedure in SAS version 9.4. Because pain information was assessed from self-administered questionnaires, we applied appropriate weights for the responses derived from those self-administered questionnaires.

Results

Our study participants consisted of 8,279 adults (Wt. N= 94,815,011) with hypertension or cardiovascular disease. Majority of the respondents were female (50.8%), white (67.6%) and married (58.8%). Thirty-seven percent of the participants were 65 years or older and 54.3% had greater than high school education. About 52.9% of the sample had prescription medicine coverage and only 5.9% were uninsured (Table 1).

Table 1:

Description of Sample Characteristics Adults with hypertension or Cardiovascular diseases Medical Expenditure Panel Survey, 2015.

N Wt. %
ALL 8,279 100.0
Anti-Hypertensive Medications
Beta-blockers 1,917 24.2
Other Antihypertensive medications 3,451 41.9
No Antihypertensive Medications 2,911 33.9
Cognitive Impairment
Yes 1,496 18.1
No 6,783 81.9
Pain Interference with Normal Activities
Pain
No Pain 3,290 40.8
A Little bit 2,116 26.8
Moderate 1,164 14.2
Severe 1,141 12.7
Extreme 457 4.5
Biological Factors
Sex
Female 4,489 50.8
Male 3,790 49.2
Race/Ethnicity
White 3,855 67.6
African American 1,950 13.6
Latino 1,728 11.6
Other race 746 7.3
Age
21-44 years 1,778 20.3
45-54 years 1,615 18.8
55-64 years 2,042 24.0
65 years and older 2,844 37.0
Socio-economic Factors
Poverty Status
Poor 1,526 11.3
Near Poor 1,877 18.7
Middle Income 2,404 28.2
High Income 2,472 41.8
Education
Less than High School 1,673 13.3
High School 2,673 31.8
Greater than High School 3,869 54.3
Socio-cultural Factors
Marital Status
Married 4,234 58.8
Widowed 982 11.0
Divorced/Separated 1,625 16.4
Not Married 1,438 13.8
Behavioral Factors
Body Mass Index
Underweight 82 1.0
Normal 1,761 22.3
Over 2,673 33.0
Obese 3,642 42.4
Current Smoking
Current Smoker 1,311 15.1
Other 6,768 82.7
Exercise
5/week 3,548 44.9
No exercise 4,688 54.6
Access to Healthcare
Insurance Coverage
Public 4,639 65.6
Private 2,952 28.6
Uninsured 688 5.9
Prescription Coverage
Yes 3,739 52.9
No 4,540 47.1
Health Status (Chronic Conditions)
Asthma
Yes 1,141 12.9
No 7,137 87.1
COPD
Yes 732 9.8
No 7,547 90.2
Cancer
Yes 861 12.9
No 7,418 87.1
Diabetes Mellitus
Yes 2,212 24.2
No 6,066 75.8
Mental Health Condition
Yes 2,094 26.9
No 6,185 73.1
Hypercholesterolemia
Yes 4,674 58.1
No 3,601 41.9
Arthritis
Yes 4,771 58.6
No 3,507 41.4
External Environment
Region
Northeast 1,258 17.0
Midwest 1,670 22.1
South 3,443 39.7
West 1,908 21.2

Note: Based on 8,279 adults age 18 years or older, who participated in the survey in 2015, observed during the entire calendar year and reported having hypertension or cardiovascular diseases.

COPD: Chronic Obstructive Pulmonary Disease; Wt. %: Weighted Percentage.

Overall, 24.2% of the participants reported using beta-blockers and 41.9% used other antihypertensives (Appendix 1). A higher percentage of elderly participants (65 years or older) used beta-blockers compared to adults aged 21-44 years (36.3% vs 9.2%). A similar trend was also observed among individuals with chronic conditions. Compared to individuals without chronic conditions, respondents with chronic conditions such as COPD (31.9% vs 23.3%), cancer (32.8% vs 22.9%), diabetes mellitus (32.7% vs 21.4%), hypercholesterolemia (30.1% vs 16.0%), and arthritis (28.8% vs 17.6%) were more likely to use beta blockers. We found statistically significant differences in reported pain and cognitive impairment between groups of individuals who used beta-blockers, other antihypertensive medications, compared to those who did not use antihypertensive medications.

Overall, 18.1% of the participants reported some cognitive impairment. Individuals who reported cognitive impairment differed significantly from those who did not with respect to all the independent variables included in the study except race/ethnicity, cancer, and region (Table 2). For example, compared to adults with no antihypertensive medications, a higher percentage of those with beta-blocker use had cognitive impairment (13.2% vs 20.2%). The Unadjusted Odds Ratios (UOR) indicated that adults who used beta-blockers had significantly higher odds of cognitive impairment (OR = 1.67; 95%CI= 1.39, 2.01, p <.0001) compared to individuals who did not use any anti-hypertensive medication. We did not find significantly higher odds of cognitive impairment among individuals who used other antihypertensive medications (OR=1.17; 95%CI= 0.97, 1.41, p = 0.0920). Pain was significantly associated with cognitive impairment; adults who reported extreme pain (UOR = 13.52; 95%CI = 9.99, 18.30, p= <0.001), severe pain (UOR = 8.70; 95%CI = 6.85, 11.06, p= <0.001), and moderate pain (UOR = 4.47; 95%CI = 3.49, 5.73, p= <0.001) all had higher odds of cognitive impairment compared to those with no pain.

Table 2:

Unweighted N and Weighted Percentages of Adults with Hypertension or Cardiovascular Diseases by Cognitive Impairment status Medical Expenditure Panel Survey, 2015.

Cognitive Impairment No Cognitive Impairment Sig.
N Wt% N Wt%
ALL 1,496 18.1 6,783 81.9
Anti-hypertensive medications ***
Beta-blockers 457 20.2 1,460 79.8
Other antihypertensive 612 15.1 2,839 84.9
No antihypertensive 427 13.2 2,484 86.8
Pain Interference with Normal Activities
Pain ***
No pain 211 6.2 3,079 93.8
A little bit 277 10.7 1,839 89.3
Moderate 295 23.0 869 77.0
Severe 458 36.6 683 63.4
Extreme 226 47.3 231 52.7
Biological Factors
Sex ***
Female 905 17.2 3,584 82.8
Male 591 14.1 3,199 85.9
Age ***
21-44 years 221 11.1 1,557 88.9
45-54 years 255 12.6 1,360 87.4
55-64 years 405 16.8 1,637 83.2
65 years and older 615 19.0 2,229 81.0
Race/Ethnicity
White 672 15.2 3,183 84.8
African American 389 16.6 1,561 83.4
Latino 308 16.9 1,420 83.1
Other race 127 16.6 619 83.4
Socio-economic Factors
Poverty Status ***
Poor 524 35.3 1,002 64.7
Near Poor 441 24.4 1,436 75.6
Middle Income 319 13.8 2,085 86.2
High Income 212 7.7 2,260 92.3
 
 
Education ***
Less than High School 420 24.5 1,253 75.5
High School 527 18.0 2,146 82.0
Greater than High School 529 12.0 3,340 88.0
Socio-cultural Factors
Marital Status ***
Married 466 10.0 3,768 90.0
Widowed 269 26.9 713 73.1
Divorced/Separated 443 25.2 1,182 74.8
Not Married 318 19.7 1,120 80.3
Behavioral Factors
Body Mass Index *
Underweight 20 23.5 62 76.5
Normal 350 18.2 1,411 81.8
Over 452 14.5 2,221 85.5
Obese 658 15.3 2,984 84.7
Current Smoking ***
Current Smoker 331 22.8 980 77.2
Other 1,120 14.1 5,648 85.9
Exercise ***
5 times /week 445 10.1 3,103 89.9
No exercise 1,047 20.3 3,641 79.7
Access to Healthcare
Insurance Coverage ***
Public 493 9.8 4,146 90.2
Private 925 29.5 2,027 70.5
Uninsured 78 13.6 610 86.4
Prescription Coverage ***
Yes 348 8.8 3,391 91.2
No 1,148 23.4 3,392 76.6
Health Status (Chronic Conditions)
Asthma ***
Yes 327 25.3 814 74.7
No 1,169 14.2 5,968 85.8
COPD ***
Yes 259 32.2 473 67.8
No 1,237 13.9 6,310 86.1
 
Cancer
Yes 190 17.8 671 82.2
No 1,306 15.4 6,112 84.6
Diabetes Mellitus ***
Yes 557 22.4 1,655 77.6
No 939 13.5 5,127 86.5
 
Mental Health Condition ***
Yes 798 32.0 1,296 68.0
No 698 9.7 5,487 90.3
Hypercholesterolemia ***
Yes 1,005 18.5 3,669 81.5
No 490 11.7 3,111 88.3
Arthritis ***
Yes 1,219 21.8 3,552 78.2
No 277 7.0 3,230 93.0
External Environment
Region
Northeast 222 12.9 1,036 87.1
Midwest 308 15.5 1,362 84.5
South 637 16.7 2,806 83.3
West 329 16.2 1,579 83.8

Notes: Based on 8,279 adults age 21 years or older, who participated in the survey in 2015, observed during the entire calendar year and reported having hypertension or cardiovascular diseases. Asterisks represent significant group differences by cognitive impairment based on Rao-Scott Chi square tests.

***

p< .001

**

.001 ≤ p < .01

*

.01 ≤ p <.05

Unweighted N may not add to total due to missing data in pain, body mass index, exercise, smoking, asthma, diabetes mellitus, hypercholesterolemia, and arthritis.

COPD: Chronic Obstructive Pulmonary Disease; Sig: Significance, wt. %: Weighted Percentage.

After controlling for pain in our model, beta-blocker use was not significantly associated with cognitive impairment (AOR= 1.22, 95%CI= 1.00-1.49). Adults who reported extreme pain were 13.2 times more likely to report impaired cognition (95%CI= 9.71, 17.92, p <.001) compared to those with no pain. In the fully adjusted model, the use of beta-blockers was not associated with cognitive impairment. (OR=1.05, 95% CI = 0.84-1.31, p=0.6901) (Table 3).

Table 3:

Unadjusted Odds Ratios (UOR), Adjusted Odds Ratios (AOR) and 95% Confidence Intervals (CI) of The Use of Anti-hypertensive Medication and Pain Categories from Logistic Regression on Cognitive Impairment Among adults, Medical Expenditures Panel Survey, 2015.

Model 1: Unadjusted Model
UOR 95% CI Significance
Anti-Hypertensive Medication Categories
Beta-blockers 1.67 [1.39,2.01] <0.001***
Other Anti-hypertensive (s) 1.17 [0.97,1.41] 0.0920
No Anti-hypertensive (s)
Model 2: Adjusted for Pain
AOR 95% CI Significance
Anti-Hypertensive Medication Categories
Beta-blockers 1.22 [1.00, 1.49] 0.0544
Other Anti-hypertensive (s) 0.94 [0.77, 1.15] 0.5674
No Anti-hypertensive (s)
Pain Categories
None
Little 1.78 [1.41, 2.25] <0.001***
Moderate 4.38 [3.42, 5.60] <0.001***
Severe 8.57 [6.76, 10.86] <0.001***
Extreme 13.19 [9.71, 17.92] <0.001***
Model 3: Fully Adjusted Model
Anti-Hypertensive Medication Categories
Beta-blockers 1.05 [0.84, 1.31] 0.6901
Other Anti-hypertensive (s) 0.84 [0.67, 1.05] 0.1335
No Anti-hypertensive (s)
Pain Interference with Normal Activities
None
Little 1.28 [1.01, 1.63] 0.0409*
Moderate 2.51 [1.89, 3.34] <0.001***
Severe 3.68 [2.85, 4.74] <0.001***
Extreme 5.41 [3.90, 7.50] <0.001***

Note: Based on 8,279 adults age 21 years or older, who participated in the survey in 2015, observed during the entire calendar year and reported having hypertension or cardiovascular diseases.

†:

Reference Group.

Fully adjusted model controlled for pain, sex, age, race, education, poverty status, marital status, body mass index, physical activity, smoking status, health insurance, prescription coverage, asthma, chronic obstructive pulmonary disease (COPD), cancer, diabetes mellitus, mental health conditions (depression and anxiety), hypercholesterolemia, arthritis, region of residence. Pain included a missing category as well (not presented).

***

p< .001

**

.001 ≤ p < .01

*

.01 ≤ p <.05

Discussion

This paper examined the association of beta-blockers with cognitive impairment among adults with hypertension or CVDs. In this study, 18.1% of all participants and 19.0% of the elderly reported cognitive impairment. This finding is broadly consistent with previous studies in adults over 65 years that report rates of cognitive impairment between 5% and 36.7% [30].

After controlling for pain, the association between beta blocker use and cognitive impairment was not statistically significant. In the fully adjusted model, Individuals with extreme pain were 5.4 times more likely to have cognitive impairment compared to those without pain. The prevalence of moderate and extreme pain was comparable within the anti-hypertensive medication categories (Appendix 1) Taken together, these findings suggest that pain rather than antihypertensive medication use may account for the observed association to cognitive impairment.

Our study findings are not consistent with previous studies by Gelber, et al. and White, et al. which reported that individuals who used beta blockers had lower risks of developing cognitive impairment compared to those who did not use antihypertensive medications [20,21,31]. Differences in study design, study population, cognitive impairment scales, and controlling for pain may partly explain the inconsistent findings. Gelber, et al. used a prospective cohort of Japanese American men living in Hawaii and measured cognitive impairment using a combination of the Hasegawa Dementia Screening Scale, the Folstein Mini-Mental State Examination, and the Modified Mini-Mental State Examination but did not control for pain. Several reports postulated that the mechanism behind this protective effect of beta-blocker on cognition involved the action of beta-blockers on vasculature to improve and maintain the ability of the heart and blood vessels to adjust to systemic or local physiological disturbances in the cardiovascular system [16,17]. Conversely, Gliebus and Lippa posited that beta-blockers could potentially block the activation of norepinephrine, the neurotransmitter which plays an essential role in the retrieval of memories from the hippocampus [32]. On the other hand, our main study finding that there is no significant association between beta blocker use and cognitive impairment is consistent with an analysis of published clinical trial data from 19 trials on beta-blockers [33] and a randomized, double-blind, controlled crossover trial [34].

Several factors that may account for the different findings in this study include extent of blood pressure control, which has been shown to be correlated with medication adherence [35,36], and other residual factors which were not measured in this study [37]. The cognitive impairment scale used in MEPS was relatively crude and we expect that more specific measures of cognition (such as attention, learning and memory, speed of processing, psychomotor ability and executive function) could improve the robustness the study design.

Our study findings are consistent with previous reports on the association of pain to cognitive impairment which has been exhaustively investigated [14,15]. Almost all pain categories were associated with cognitive impairment with adjusted odds ratios ranging from 1.28 for mild pain, 2.51 for moderate pain, 3.68 for severe pain, and 5.41 for extreme pain. This is consistent with a review of pre-clinical and clinical studies by Moriarty and colleagues [15].

\Our study has many strengths such as the use of a representative sample of adults in the US, availability of prescription drug information, and adjustment for a comprehensive list of variables, especially pain, which could confound the relationship between antihypertensive medications and cognitive impairment. However, our study has some limitations including the use of cross-sectional data, which precludes the assumption of any causal relationship. We did not adjust for blood pressure control due to the fact that MEPS does not include clinical parameters. Other limitations are that this study utilized self-reported overall cognitive impairment as a crude measure of cognitive function and did not include data on duration of beta-blockers use. Future studies that employ a prospective study design, with robust measures of cognitive impairment and duration of beta-blocker use and medication adherence measures are needed to confirm our study findings.

Acknowledgment

Research reported in this publication was supported by the National Institute of General Medical Sciences of the National Institutes of Health under Award Number 5U54GM104942-03. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Appendix

Appendix 1:

Unweighted N and Weighted Percentages of Adults with Hypertension or Cardiovascular Diseases by Antihypertensive Categories Medical Expenditure Panel Survey, 2015.

Beta-blocker Other Anti-HTN No Anti-HTN Sig.
N Wt% N Wt% N Wt%
ALL 1,917 24.2 3,451 41.9 2,911 33.9
Anti-hypertensive medications ***
Cognitive Impairment 457 20.2 612 15.1 427 13.2
No Cognitive Impairment 1,460 79.8 2,839 84.9 2,484 86.8
Pain Interference with Normal Activities
Pain ***
No pain 572 18.7 1,306 40.6 1,412 40.8
A little bit 512 24.8 898 41.7 706 33.5
Moderate 332 30.4 493 41.8 339 27.8
Severe 337 30.1 528 48.3 276 21.6
Extreme 137 33.0 188 39.9 132 27.1
Biological Factors
Sex *
Female 1,045 23.8 1,943 43.5 1,501 32.7
Male 872 24.5 1,508 40.3 1,410 35.2
Age ***
21-44 years 150 9.2 423 22.8 1,205 68.0
45-54 years 253 16.8 698 42.4 664 40.8
55-64 years 481 23.8 985 48.2 576 28.0
65 years and older 1,033 36.3 1,345 48.1 466 15.6
Race/Ethnicity ***
White 1,031 26.3 1,580 42.2 1,244 31.5
African American 432 21.6 908 45.3 610 33.1
Latino 286 16.4 653 36.6 789 47.0
Other race 168 21.7 310 41.2 268 37.1
Socio-Economic Factors
Poverty Status ***
Poor 336 20.6 601 39.4 589 39.9
Near Poor 465 27.0 743 39.6 669 33.5
Middle Income 564 25.4 1,001 40.2 839 34.4
High Income 552 23.1 1,106 44.8 814 32.2
Education *
Less than High School 392 25.2 719 42.9 562 31.9
High School 652 25.6 1,097 41.9 924 32.6
Greater than High School 860 23.2 1,604 41.5 1,405 35.3
Socio-cultural Factors
Marital Status ***
Married 950 24.0 1,828 43.3 1,456 32.7
Widowed 318 32.3 474 50.1 190 17.6
Divorced/Separated 419 26.1 673 40.9 533 33.0
Not Married 230 16.2 476 30.6 732 53.1
Behavioral Factors
Body Mass Index ***
Underweight 21 24.5 21 26.5 40 49.0
Normal 358 20.0 648 36.0 755 44.1
Over 607 23.4 1,122 42.9 944 33.6
Obese 910 27.1 1,611 44.7 1,121 28.3
Current Smoking ***
Current Smoker 251 19.6 478 36.1 582 44.3
Other 1614 24.9 2,887 43.0 2,267 32.2
Exercise ***
5 times /week 710 20.0 1,509 43.3 1,329 36.7
No exercise 1,200 27.7 1,928 40.8 1,560 31.5
Access to Healthcare
Insurance Coverage ***
Public 979 22.2 1,979 42.8 1,681 34.9
Private 867 31.0 1,265 42.6 820 26.4
Uninsured 71 12.4 207 28.3 410 59.3
Prescription Coverage ***
Yes 753 21.5 1,609 42.5 1,377 36.0
No 1,164 27.1 1,842 41.3 1,534 31.6
Health Status (Chronic Conditions)
Asthma
Yes 283 25.1 488 43.1 370 31.8
No 1634 24.0 2,962 41.7 2,541 34.2
COPD ***
Yes 224 31.9 320 43.5 188 24.6
No 1,693 23.3 3,131 41.7 2,723 34.9
Cancer ***
Yes 297 32.8 401 48.5 163 18.7
No 1,620 22.9 3,050 40.9 2,748 36.2
Diabetes Mellitus ***
Yes 695 32.7 1,128 51.0 389 16.3
No 1,222 21.4 2,322 39.0 2,522 39.6
Mental Health Condition
Yes 539 25.2 881 43.0 674 31.7
No 1,378 23.8 2,570 41.5 2,237 34.7
Hypercholesterolemia ***
Yes 1,369 30.1 2,151 46.2 1,154 23.7
No 547 16.0 1,298 35.9 1,756 48.1
Arthritis ***
Yes 1,340 28.8 2,145 44.5 1,286 26.7
No 577 17.6 1,306 38.3 1,624 44.1
External Environment
Region
Northeast 327 26.9 499 38.8 432 34.3
Midwest 419 25.1 700 42.6 551 32.4
South 805 24.3 1,475 43.2 1,163 32.6
West 366 20.8 777 41.4 765 37.8

Notes: Based on 8,279 adults age 21 years or older, who participated in the survey in 2015, observed during the entire calendar year and reported having hypertension or cardiovascular diseases. Asterisks represent significant group differences by cognitive impairment based on Rao-Scott Chi square tests.

***

p< .001

**

.001 ≤ p < .01

*

.01 ≤ p <.05

Unweighted N may not add to total due to missing data in pain, body mass index, exercise, smoking, asthma, diabetes mellitus, hypercholesterolemia, and arthritis.

COPD: Chronic Obstructive Pulmonary Disease; Sig: Significance, Wt. %: Weighted Percentage.

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