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. 2022 Sep;22(3):250–266. doi: 10.4314/ahs.v22i3.27

Association between physical exercise and all-cause and CVD mortality in patients with diabetes: an updated systematic review and meta-analysis

Xinmin Liu 1, Zhen Wu 1, Ning Li 1
PMCID: PMC9993283  PMID: 36910366

Abstract

Objectives

Physical activity is recommended in guidelines for treatment for diabetes, but the association between physical activity and mortality among diabetic patients has not been extensively studied.

Methods

Databases were searched from inception to July 10, 2020. Prospective studies were selected to evaluate the association between physical activity and risk for total and cardiovascular diseases (CVD) mortality among diabetic patients. Data were pooled using random-effect model to calculate the relative risks (RRs) with 95% confidence intervals (CIs).

Results

We included 16 eligible studies involving with 155,203 diabetic participants and 13,821 cases of death. Our study suggested that physical activity in diabetic patients may decrease risk for all-cause (RR 0.57, 95% CI 0.49–0.67) and CVD mortality (RR 0.55, 95% CI 0.34–0.68). The summary RR for CVD events was 0.65 (95% CI 0.41–1.03). Furthermore, the reductions in all-cause mortality were more significant in diabetic patients with old age (> 60 years) (RR 0.46, 95% CI 0.29 -0.75), higher body mass index (BMI ≥ 28) (RR 0.53, 95% CI 0.42–0.69) and shorter duration of diabetes (RR 0.45, 95% CI 0.24–0.84).

Conclusion

Physical activity reduced the risk of total and CVD mortality among patients with diabetes, in particular in diabetic patients with old age (> 60 years), obesity and shorter duration of diabetes.

Keywords: physical activity, mortality, CVD, diabetes

Background

Diabetes was recognized as a substantial threat to public health with the fastest increasing morbidity worldwide 1. It was reported that 415 million people were estimated to have diabetes in 2015, and will increase to 642 million by 2040 2,3. Patients with diabetes are at high risk for adverse outcomes from its macro vascular and micro vascular complications, which account for more than 2 million deaths every year 4 and constitute the seventh most common cause of disability worldwide 5. The absolute number of deaths from diabetes increased between 2006 and 2016 by 31.1% 6. Among adults in China, diabetes was associated with 2-fold increased mortality compared with adults without diabetes 7. Cardiovascular diseases (CVD) is the most common cause of morbidity and mortality among subjects with type 2 diabetes mellitus (T2DM) 8. Body mass index (BMI) is an independent risk factor of diabetes and CVD 9, which were closely related with physical exercise. Physical activity is important in the prevention of the development of T2DM in people with impaired glucose tolerance (IGT) and for the control of glycaemia and related CVD complications 10,11. Several studies have indicated that high leisure-time physical activity is associated with reduced total and CVD mortality among patients with diabetes 1217. However, results were not consistent 14,17. In diabetic patients with heart diseases or other serious complication, physical activity may worsen their health conditions. Furthermore, how diabetes severity, patients' age or BMI influence this association has not been extensively studied. Several newly studies on the association between physical activity and mortality have been published. The aim of this study was to examine associations of physical activity with risk total and CVD mortality among diabetic patients. Furthermore, we analyzed the association in diabetic patients with different characteristics such as age, BMI, glycated haemoglobin A1C (HbA1c), types and duration of diabetes.

Materials and methods

This meta-analysis is reported according to Meta-analysis Of Observational Studies in Epidemiology (MOOSE) Reporting Guidelines 18.

Search strategy

A systematic literature search for relevant studies was conducted in the databases of Pub Med and EMBASE from inception to January 15th, 2020. The search strategy was as follows: (((((((Diabetes Mellitus [MeSH Terms])) OR (diabetes)) OR (type 2 diabetes)) OR (type 1 diabetes) [All Fields])) AND ((((physical activity[All Fields])) OR (exercise)) OR (sports))) AND ((((death[All Fields])) OR (mortality)) OR (fetal)). In addition, we reviewed the references from relevant articles to identify additional relevant studies. Authors were contacted and requested to provide further data if required.

Study selection

The following inclusion criteria were required to be eligible for the meta-analysis: (1) cohort, prospective or longitudinal study with more than 5-year follow up; (2) diabetic patients with active and inactive physical activity; (3) reported relative risk (RR) estimates of mortality, such as relative risks (RR), odds ratios (OR), hazard ratios (HR) or incidence with 95% confidence intervals (CIs) for 2 or more categories of physical activity. In multiple same-population studies, we selected and included the one study with longest follow-up time.

Data extraction

For each eligible study, we recorded the following data: name of the first author, year of publication, study name, study location, participants, age at baseline, and measurement for physical activity, number of diabetes and death, years of follow-up and outcomes.

Statistical Methods

The pooled analyses were performed using the random-effects model to calculate RRs with 95% CIs). If several estimates were reported in the same article, we chose the most fully adjusted RR of the top category vs. the lowest category of physical activity. If the reference category used in the analyses was not the lowest category, we used the method described was by Hamling et al 19 to convert risk estimates. Study quality was assessed using Newcastle-Ottawa scale (NOS) 20. Heterogeneity was quantified using the I2 test, where I2 > 50% indicated significant heterogeneity 21. Publication bias was evaluated by the Egger's and Begg's test 22,23. Sensitivity analyses were performed to assess the robustness of the findings by omitting each study from the analyses and then summarized the remains. Subgroup analyses were conducted to investigate the impact of age, study location, number of participants and case, follow-up of cohort studies, HbA1c, type and duration of diabetes on the association between physical activity and risk of total and CVD mortality among diabetes.

All the analyses were conducted using Stata statistical software (version 16.0). A 2-sided P value of less than 0.05 was considered statistically significant.

Results

Study Selection

Of 5,766 studies identified by the initial search, 178 were selected for full-text review; 162 of these were excluded, leaving 16 (Figure S1). Two studies were from the same study 16,24, and we included the one with larger sample size 16.

Figure S1.

Figure S1

Study selection.

Study characteristics

After ineligible studies were excluded, 16 cohort studies were included in our meta-analysis. (Descriptive characteristics of studies and outcomes are shown in Table S1)12,13,2934,1417,2528. It involved with 155,203 diabetic participants and 13,821 cases of death. Participants were aged 25 to 80 years, with more than half being middle-aged or older. The duration of cohort studies ranged from 5.7 to 23.8 years, with a median year of 8.7. Results of study quality assessment (score 0–9) yielded a score of 7.0 or above for 15 studies (Table S2).

Table S1.

Descriptive characteristics of included cohort studies.

Author Publication
year
Country Participants Measurements for physical activity Number of diabetes Age at
baseline
(years)
Duration
(years)
Risk of outcomes (95% CI)
Batty, et al1 2002 UK The study was conducted
in 6408 male British Civil
Servants who underwent
an oral glucose tolerance
test at study entry.
The active group included men who
engaged in vigorous sports such as
swimming, cycling and athletics; the
moderately active group comprised men
who participated in active hobbies such as
gardening, home maintenance and
woodwork; the inactive group included
those men who reported no such physical
exertion.
6408 520.51 25 All-cause mortality:
Active: 1.0 (reference)
Moderate: 1.59 (1.1–2.4)
Inactive: 1.65 (1.1–2.5)
CHD mortality:
Active: 1.0 (reference)
Moderate: 2.47 (1.1–5.4)
Inactive: 3.6 (1.6–8.0)
Other CVD mortality
Active: 1.0 (reference)
Moderate: 1.35 (0.5–3.5)
Inactive: 2.56 (0.6–4.2)
Tanasescu,
et al2
2003 USA The HPFS was
conducted in 51 529 male
health professionals aged
40 to 75 years in 1986
and living in all 50 US
states.
The time spent at each activity in hours
per week was multiplied by its typical
energy expenditure, expressed in METs,
then summed over all activities to yield a
MET-hour score. Participants were
classified base on quintile of MET-hour
score.
2803 40–75 14 CVD events:
Q1: 1.0 (reference)
Q2: 0.91 (0.63, 1.31)
Q3: 0.68 (0.45, 1.02)
Qu 4: 0.76 (0.51, 1.14)
Q5: 0.72 (0.47, 1.09)
CVD mortality:
Q1: 1.0 (reference)
Q2: 0.71 (0.40, 1.28)
Q3: 0.29 (0.14, 0.63)
Q4: 0.53 (0.27, 1.02)
Q 5: 0.62 (0.32, 1.23)
Hu, et al 3 2005 Finnish The study was conducted
in 3,708 Finnish patients
with type 2 diabetes aged
25–74 years.
Physical activities were merged three
categories: 1) low was defined as subjects
who reported light levels of occupational,
commuting (<1 min), and leisure-time
physical activity; 2) moderate was defined
as subjects who reported only one of the
all three types of moderate to high
physical activity; and 3) high was defined
as subjects who reported two or three
types of moderate to high physical activity
3,708 25–74 18.7 All-cause mortality:
Low physical activity: 1.0 (reference)
Moderate: 0.61 (0.51–0.73)
High: 0.55 (0.47–0.66)
CVD mortality:
Low physical activity: 1.0 (reference)
Moderate: 0.57 (0.46–0.72)
High: 0.54 (0.43–0.67)
Jonker, et al 4 2006 USA The Framingham Heart Study cohort
consisted of 5,209 respondents (46%
male) aged 28.62 years residing in
Framingham, Massachusetts, between
1948 and 1951.
Time spent at each activity in hours per week was multiplied by its
metabolic cost (based on the oxygen consumption required for that
activity). These weighted hours were added up to get a total daily
physical activity score. Participants were classified based
on tertiles of the daily physical activity scores: low <30), moderate
(30–33), and high >33) physical activity level.
5209
Trichopoulou, et al5 2006 Greece The Greek arm of the European
Prospective Investigation into Cancer
(EPIC) and Nutrition was conducted in
28572 adult volunteers from 1993 to
mid-2004, in the Greek arm of the
European Prospective Investigation into
Cancer and Nutrition.
A metabolic equivalent index was computed by assigning a
multiple of resting metabolic rate to each activity metabolic
equivalent task (MET value) and all MET-hour products were
summed to estimate daily physical activity. Participants were
classified based on quintile of MET-hour score.
1013
Tielemans, et al 6 2013 European The EURODIAB Prospective
Complications Study is a cohort
including 3,250 male and female patients
with type 1 diabetes.
Physically inactive participants were considered to be those who
reported walking <1.5 kilometers on an average weekday, no
regular bicycling and no participation in sports. Participants who
reported walking ≥1.5 kilometers on an average weekday, regular
bicycling or played any sport were considered to be the physically
active group.
2185
Li, et al7 2013 Taiwan, China A national sample of adults (18 years or
older) with self-reported physician-diagnosed
diabetes, who participated in
the 2001 National Health Interview
Survey in Taiwan (N = 797).
The PCS was aggregated from z-score transformations of the eight
dimensions and then standardized to a mean of 50 and a standard
deviation of 10. Then participants were classified based
on quartiles of PCS.
797
Blomste,et al8 2013 Australasia,
Asia,
Europe
and North
America
The study was conducted in 11 140
patients in the ADVANCE (Action in
Diabetes and Vascular
Disease: Preterax and Diamicron modified
release Controlled Evaluation) trial.
For primary analyses, participants were
divided into who were sedentary or
undertook only mild physical activity in
the prior week and those who
participated in at least one session of
moderate or vigorous physical activity
>15 min. In subsequent
analyses authors sought to clarify
whether participation in mild physical
activity was beneficial. Then
they compared the outcomes of patients
who undertook only mild exertion with
those who were entirely sedentary and
those who undertook moderate or
vigorous exercise at the week prior to
randomization.
11 140 65.8
±6.4
5 All-cause mortality
Sedentary: 1.0 (reference)
Mild: 0.86 (0.72–1.02)
Moderate and vigorous: 0.74 (0.62-
0.88)
Cardiovascular mortality
Sedentary: 1.0 (reference)
Mild: 1.06 (0.90–1.26)
Moderate and vigorous: 0.82 (0.68-
0.97)
Moe, et
al 9
2013 Norway The HUNT Study is a large
population-based health
survey in Nord-
Trondelag County
conducted in inhabitants
aged 20 years or older
Participants performing 0.1–1.9 hours of
leisure time physical exercise per week were
defined as physically inactive; participants
performing 1.0–1.9 hours of leisure time
physical exercise per week were defined
as mild active; and participants
performing . 2.0 hours of leisure time
physical exercise per week were defined
as moderate active.
503 63.7±15.4 23.8 Cardiovascular mortality:
Without diabetes* inactive:1.0 (reference)
Diabetes without
medication* inactive: 1.65 (1.34–2.03)
Diabetes without medication*mild: 1.44
(1.13–1.83)
Diabetes without
medication*moderate: 0.99 (0.68–1.45)
Diabetes with medication*inactive: 2.46
(2.08–2.92)
Diabetes with medication*mild: 2.64 (2.14-
3.25)
Diabetes with medication*moderate: 1.58
(1.21–2.05)
Sone, et
al10
2013 Japan The present analysis was
conducted as part of the
Japan Diabetes
Complications Study
(JDCS), a multicenter
prospective study of the
incidence of and risk
factors for complications
among 2,033 Japanese
patients with type 2
diabetes aged 40–70 years
with HbA1c levels ≥6.5%.
Participants were divided into 3 groups based
on tertile of LTPA, which was assessed at
baseline by a self-administered questionnaire.
1702 58.5±6.9 8.05 All-cause mortality
T1: 1.0 (reference)
T2: 0.88 (0.47, 1.64)
T3: 0.47 (0.22, 0.99)
CHD or stroke
T1: 1.0 (reference)
T2: 0.96 (0.61, 1.50)
T3: 0.68 (0.42, 1.11)
Williams,
et al11
2014 USA The National Walkers' and
Runners' Health Studies
was conducted to assess
the relationships of running
and walking to mortality in
diabetic subjects.
Participants were divided into 3 groups
according to MET: 1) falling short of the
current exercise recommendations for health
(<450 MET·min·wk-1 =
1.07 MET·h·d-1 ), 2) achieving the exercise
recommendations (450–750 MET·min·wk-1
= 1.07–1.8 MET·h·d-1 ), and 3) exceeding
the recommendations.
2160 57.17±13.99 9.84 Total mortality
T1: 1.0 (reference)
T2: 0.925 (0.676, 1.247)
T3: 0.635 (0.489, 0.821)
CVD mortality
T1: 1.0 (reference)
T2: 0.76 (0.51, 1.12)
T3: 0.54 (0.39, 0.75)
Zethelius,
et al12
2014 Sweden The study was conducted
in 15,462 female and male
patients with type- 2
diabetes registered in the
NDR, with data available
for all analyzed variables.
Five levels of PA were classified: never (level
1), less than 1 time per week (level 2), 1–2
times per week (level 3), regular 3–5 times
per week (level 4), or daily (level 5).
15,462 30–72 5 All-cause mortality:
Low vs. high: 2.91 (2.08–4.07)
CVD:
Low vs. high: 2.54 (1.98–3.27)
Martinez-
Gomez, et
al13
2015 Spain A cohort of 4,008 persons
representative of the non-institutionalized
population
aged 60 years and older in
Spain.
Physical activity was assessed with a global
questionnaire that asked participants to rate
their level of physical activity in 4 categories
as inactive, less active, moderately active and
very active
in comparison with their age-peers.
611 72.1± 7.6 8.3 Inactive: 1.0 (reference)
Less active: 0.72 (0.49, 1.08)
Moderately active: 0.47 (0.31, 0.70)
Very active: 0.52 (0.32, 0.82)
Lear, et
al14
2017 17
countries
Participants were recruited
participants from 17
countries aged between 35
and 70 years who intended
to live at their current
address for at least another
4 years.
Total physical activity was categorized as low
(<600 MET × minutes per week), moderate
(600–3000 MET × minutes per week), and
high (>3000 MET × minutes per week)
physical activity, corresponding to less than
150 minutes per week, 150–750 minutes per
week, and more than 750 minutes per week of
moderate intensity physical activity.
12740 35–70 6.9 High PA vs low PA: 0.68 (0.57–0.82)
Moderate PA vs low PA: 0.80 (0.67–0.95)
Shin, et
al 15
2018 UK The NHIS-HEALS cohort
comprised a nationally
representative random
sample of 514,795
individuals, which
accounted for 10% of the
entire population who were
aged between 40–79 years in
2002 and 2003
Frequency of exercise was determined at study
entry with a questionnaire. Participants were
requested to estimate the exercise frequency
per week at baseline, and were classified as
exercising on 0, 1–2, 3–4, 5–6, and 7 days per
week.
6923 12 Not
reported
Exercising 0 days per week:1.0 (reference)
Exercising 1–2 days per week:0.79 (0.74–
0.85)
Exercising 3–4 days per week:0.74 (0.67–
0.81)
Exercising 5–6 days per week:0.67 (0.56–
0.79)
Exercising 7 days per week:0.87 (0.80–0.94)
Zhao16 2020 USA The study included data
from the National Health
Interview Survey (NHIS)
conducted since 1957 by the
US Centers for Disease
Control and Prevention and
the National Center for
Health Statistics through the
US Census Bureau. A
cohort of 479,856 adults
aged 18 years or older in
USA.
Participants were classified into one of four
groups depending on whether they met each
of the recommended guidelines: insufficient
activity (insufficient aerobic and muscle
strengthening activities), aerobic physical
activity only (recommended aerobic activity
and insufficient muscle strengthening activity),
muscle strengthening only (insufficient aerobic
activity and recommended
muscle strengthening activity), and both
(recommended aerobic and muscle
strengthening activities).
40440 Not
reported
8.75 Insufficient aerobic or muscle
strengthening:1.00 (reference)
Muscle strengthening only:0.98 (0.87 to 1.10)
Aerobic only:0.68 (0.64 to 0.72)
Aerobic and muscle
Strengthening:0.60 (0.53 to 0.67)

Abbreviations: CI, confidence interval; NOS, Newcastle-Ottawa quality assessment; Mets, metabolic equivalents; PA, physical activity; PCS, physical component summary; T1DM, type 1 diabetes mellitus; T2DM, type 2 diabetes mellitus.

Table S2.

Quality assessment of individual studies using Newcastle-Ottawa Scale

Reference Selection Comparability Outcome Overall
Quality
Representative
of cases
Selection of
Controls
Exposure
ascertainment
(weight change)
No history of
Disease
Comparable
on
confounders
Outcome
assessment
(by medical record
or doctors)
Adequate
follow-up time
(≥ 5 years)
Follow-up rate
(> 80%)
Overall
Quality
Batty, 2002 1.0 1.0 0.5 1.0 1.5 1.0 1.0 1.0 8.0
Tanasescu, 2003 0.5 1.0 0.0 1.0 2.0 1.0 1.0 1.0 7.5
Hu, 2005 1.0 1.0 1.0 1.0 2.0 1.0 1.0 1.0 9.0
Jonker, 2005 0.5 1.0 1.0 1.0 1.5 1.0 1.0 1.0 8.0
Trichopoul, 2006 1.0 1.0 1.0 1.0 2.0 1.0 1.0 1.0 9.0
Tielemans, 2013 0.5 1.0 1.0 1.0 2.0 1.0 0.5 0.5 7.5
Li, 2013 0.5 1.0 1.0 1.0 1.5 1.0 1.0 1.0 8.0
Blomster, 2013 1.0 1.0 1.0 0.5 2.0 1.0 1.0 1.0 8.5
Moe, 2013 1.0 1.0 1.0 1.0 2.0 1.0 1.0 1.0 9.0
Sone, 2013 1.0 1.0 1.0 1.0 1.5 1.0 1.0 0.5 8.0
Zethelius, 2014 1.0 1.0 1.0 0.5 1.0 0.5 0.5 1.0 6.5
Williams, 2014 0.5 1.0 0.5 1.0 2.0 1.0 1.0 1.0 8.0
Martinez, 2015 1.0 1.0 0.5 0.5 2.0 1.0 1.0 0.5 7.5
Lear, 2017 1.0 1.0 1.0 0.5 1.5 0.5 1.0 1.0 7.5
Shin, 2018 0.5 1.0 1.0 0.5 1.0 0.5 1.0 1.0 6.5
Zhao, 2020 1.0 1.0 1.0 0.5 1.5 1.0 1.0 1.0 8.0

Overall analyses

Fifteen observational studies were included in the analysis of diabetes and all-cause mortality. Significant reductions in all-cause mortality were observed for diabetic patients with physical activity (RR 0.57, 95% CI 0.49–0.67; P < 0.001; Figure 1). Obvious heterogeneity was detected among these studies (I2 = 83.0%; P < 0.001 for heterogeneity; Figure 1). Furthermore, pooled estimates of seven studies showed that diabetic patients with physical activity had lower risk for CVD mortality (RR 0.55, 95% CI 0.44–0.68; P < 0.001; Figure 2) with moderate heterogeneity (I2 = 68.1%; P = 0.003 for heterogeneity; Figure 2). There were four studies reported CVD evens in diabetic patients with active or inactive physical activity and the pooled RR for CVD was 0.58 (95% CI 0.49–0.69; Figure S2) by a random effects model (I2 = 84.9%; Figure S2).

Figure 1.

Figure 1

Forest plot of physical activity and risk of all-cause mortality.

Abbreviations: RR, risk ratios; CI, confidence interval.

Figure 2.

Figure 2

Forest plot of physical activity and risk of CVD mortality.

Abbreviations: RR, risk ratios; CI, confidence interval; Moe-1 means outcomes for diabetes patients without medication, and Moe-2 means outcomes for diabetic patients with medication.

Figure S2.

Figure S2

Forest plot of physical activity and risk of CVD.

Sensitivity and subgroup analyses

Sensitivity and subgroup analyses were conducted to examine the stability of the primary results. In the sensitivity analyses, through omission of any individual study, the results for all-cause and CVD mortality were not significantly altered (Figure S3S4). However, the results for CVD were changed in the sensitivity analysis (Figure S5), which may due to limited studies were included. We further conducted subgroup analyses for all-cause mortality stratified by age, study location, number of participants and case, follow-up of cohort studies, HbA1c, type and duration of diabetes. Results of any subgroup were consistent with our overall findings (Table S3). Importantly, the reductions in all-cause mortality were more significant in diabetic patients with old age (> 60 years) (RR 0.46, 95% CI 0.29–0.75; P = 0.002; Table S3), higher BMI (BMI ≥ 28) (RR 0.53, 95% CI 0.42–0.69; P < 0.001; Table S3) and shorter duration of diabetes (RR 0.45, 95% CI 0.24–0.84; P < 0.001; Table S3). There were eight studies conducted in T2DM and one study conducted in type 1 diabetes mellitus (T1DM). The remains didn't provide the information of types of diabetes. The summary RR for T2DM was 0.56 (95% CI 0.46–0.68; P < 0.001; Table S3) and the RR for T1DM was 0.66 (95% CI 0.42–1.03; P = 0.007; Table S3). Furthermore, there were four studies provided data of HbA1c and the average of HbA1c in these studies were more than 7%. The pooled RR of these 4 studies was 0.54 (95% CI 0.35–0.84; P < 0.001; data was not shown in Table). We didn't perform subgroup analysis for CVD mortality and events because the limited studies were included in each subgroup, which may provide some misleading information.

Figure S3.

Figure S3

Sensitivity analysis of studies for all-cause mortality.

Figure S4.

Figure S4

Sensitivity analysis of studies for CVD mortality.

Figure S5.

Figure S5

Sensitivity analysis of studies for CVD.

Table S3.

Subgroup analyses of relative risk of all-cause mortality

n RR (95% CI) P1 I2 (%) P2
All studies 15 0.57 (0.49–0.67) < 0.001 83.0 < 0.001
Age
> 60 years 4 0.46 (0.29–0.75) 0.002 77.4 0.004
≤ 60 years 9 0.58 (0.47–0.72) < 0.001 86.7 < 0.001
Study location
Asia 2 0.38 (0.24–0.60) < 0.001 0.0 0.47
North America 2 0.58 (0.46–0.73) < 0.001 0.0 0.40
Europe 7 0.54 (0.39–0.74) < 0.001 89.8 < 0.001
Africa 2 0.59 (0.53–0.66) 0.002 0.0 0.55
Mixed 2 0.71 (0.63–0.81) < 0.001 0.0 0.51
Number of participants
> 3000 7 0.61 (0.50–0.74) < 0.001 90.7 < 0.001
≤3000 8 0.54 (0.45–0.64) < 0.001 16.1 0.303
Number of death
> 300 7 0.61 (0.50–0.74) < 0.001 90.7 < 0.001
≤300 8 0.54 (0.45–0.64) < 0.001 16.0 0.304
Follow-up of cohort studies (years)
≥ 9 7 0.64 (0.52–0.78) < 0.001 83.9 < 0.001
< 9 8 0.51 (0.40–0.64) < 0.001 73.4 < 0.001
BMI
≥ 28 5 0.53 (0.42–0.69) < 0.001 78.4 0.001
< 28 9 0.59 (0.48–0.74) < 0.001 77.5 < 0.001
Type of diabetes
T2DM 7 0.56 (0.46–0.68) < 0.001 68.7 0.004
T1DM 1 0.66 (0.42–1.03) 0.07 - -
Duration of diabetes (years)
≥ 8 4 0.50 (0.35–0.71) < 0.001 29.6 0.234
< 8 3 0.45 (0.24–0.84) 0.012 90.5 < 0.001

Abbreviations: CI, confidence interval; CC, cortical cataract posterior; PSC, posterior sub capsular; NS, nuclear sclerosis.

N, the number of studies (the number of studies is not always equal to the total because of missing information in some publications or subgroups in original studies).

1

P for text

2

P for heterogeneity between subgroups with analysis

Publication bias

As shown in Table S4, no publication bias was observed according to Egger's and Begg's test in studies of analysis for mortality from all causes and CVD, and CVD events (all P > 0.05).

Table S4.

Assessment for heterogeneity and publication bias

Tests for Heterogeneity Tests for Publication Bias
N RR (95% CI)
by random-effect
model
RR (95% CI)
by fixed-effect
model
P value for
heterogeneity
I2 (%) P value of the Egger test P value of
the Begg test
All-cause mortality 14 0.57 (0.49–0.67) 0.69 (0.66–0.73) <0.001 83.0 0.13 0.51
CVD mortality 8 0.55 (0.44–0.68) 0.61 (0.55–0.68) 0.003 68.1 0.06 0.54
CVD 4 0.65 (0.41–1.03) 0.58 (0.49–0.69) <0.001 84.9 0.31 1.00

Abbreviations: RR, relative risk; CI, confidence interval.

Discussion

In this meta-analysis involving 155,203 diabetic patients, we concluded that physical activity reduced risk for total and CVD mortality among patients with diabetes. Furthermore, the reductions were more significant in diabetic patients with old age (> 60 years), obesity and shorter duration of diabetes.

Several high-quality meta-analyses summarized the studies conducted in general population and conducted that physical activity may reduce the risk of all-cause, cardiovascular and cancer mortality, and incident type 2 diabetes3541. We firstly summarized the studies conducted in diabetic patients and conducted that physical activity could reduce the risk of total and CVD mortality, as well as CVD events among diabetes. It may contributed by the beneficial effect of physical activity on several indices of cardio metabolic diseases including body weight42, body fat distribution 4244, blood pressure 45, blood lipids43,46, insulin resistance47,48, endothelial function 49 and cardio-respiratory fitness42,44. It was also reported that moderate or high levels of physical activity were associated with a significantly reduced risk of total and CVD mortality among adults with diabetes, independent of age, education, BMI, blood pressure, total cholesterol, and smoking12. Aerobic and resistance training improve insulin action and plasma glucose (PG), lipids, blood pressure and cardiovascular risk 50. Regular exercise is necessary for continuing benefit. Therefore, diet control and lifestyle interventions are recommended as the first-line treatments for diabetes 11. Schellenberg et al also found that lifestyle interventions effectively decrease the incidence of type 2 diabetes in high-risk patients 51. However, in patients who already have type 2 diabetes, there is no evidence of reduced all-cause mortality and insufficient evidence to suggest benefit on cardiovascular and micro vascular outcomes 51. We, therefore, tried to further analyze the association in diabetic patients stratified by age, BMI, HbA1c and duration of diabetes. The results showed that the reductions of total mortality were more significant in diabetic patients with old age (> 60 years), obesity and shorter duration of diabetes. It was reported that older adults> 65 years old) are the least physically active age group 52. In advanced age, physical activity is effective at mitigating sarcopenia, restoring robustness, and preventing/delaying the development of disability 53. As we discussed previously, BMI is an independent risk factor of diabetes and CVD 9, therefore physical activity may have more protective effects on diabetic patients with obesity.

The significant reduction of total mortality in the patients with shorter duration of diabetes could, in part, be due to the protection of physical activity on β cell from further failure induced by lipotoxicity in early stage. Besides, the physical activity did not reduce the total mortality in patients with T1DM 17, which may due to the hypoglycemia during the immediate post exercise period 54.

There are several limitations for the current study. Firstly, our meta-analysis was performed on summary data, thus leading to a relatively poor accuracy of assessment compared with individual-level analyses. Secondly, our study was limited to studies reported in English. Furthermore, significant heterogeneity was detected among all studies, may due to the different measurements of physical activity. Finally, we cannot identify the best way and the most appropriate amount physical activity for diabetes to achieve the greatest benefit.

Conclusion

The present study added to the literature by confirming the association between physical activity and risk for total and CVD mortality among diabetic patients, in particular in diabetic patients with old age (> 60 years), obesity and shorter duration of diabetes. It may provide some information for policymakers and future guidelines. Future study is needed to summarize the dose-response association of different kinds of physical activity and health outcomes in patients with diabetes.

Acknowledgments

None.

Abbreviations

BMI

Body mass index

CIs

confidence intervals

CVD

cardiovascular diseases

HbA1c

glycated haemoglobin A1c

HR

hazard ratios

IGT

impaired glucose tolerance

NOS

Newcastle-Ottawa scale

OR

odds ratios

PG

plasma glucose

RRs

relative risks

T1DM

type 1 diabetes mellitus

T2DM

type 2 diabetes mellitus

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Conflicts of interest

The authors declare no conflicts of interest.

Findings

This study received no specific funding for this work.

Author's contribution

Mr. Liu a had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. XL and ZW selected relevant studies and extracted data from included studies. Any disagreement was resolved by discussion with a third review author to reach a consensus (NL). XL analyzed data and drafted the manuscript. NL and ZW reviewed and provided suggestions. All authors reviewed the manuscript and approved the final manuscript.

References

  • 1.Zhou B, Lu Y, Hajifathalian K, et al. Worldwide trends in diabetes since 1980: A pooled analysis of 751 population-based studies with 4.4 million participants. The Lancet. 2016;387(10027):1513–1530. doi: 10.1016/S0140-6736(16)00618-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Tricco AC, Ivers NM, Grimshaw JM, et al. Effectiveness of quality improvement strategies on the management of diabetes: A systematic review and meta-analysis. The Lancet. 2012;379(9833):2252–2261. doi: 10.1016/S0140-6736(12)60480-2. [DOI] [PubMed] [Google Scholar]
  • 3.Chatterjee S, Khunti K, Davies MJ. Type 2 diabetes. The Lancet. 2017;389(10085):2239–2251. doi: 10.1016/S0140-6736(17)30058-2. [DOI] [PubMed] [Google Scholar]
  • 4.Danaei G, Lu Y, Singh GM, et al. Cardiovascular disease, chronic kidney disease, and diabetes mortality burden of cardiometabolic risk factors from 1980 to 2010: A comparative risk assessment. The Lancet Diabetes and Endocrinology. 2014;2(8):634–647. doi: 10.1016/S2213-8587(14)70102-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Vos T, Barber RM, Bell B, et al. Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990-2013: A systematic analysis for the Global Burden of Disease Study 2013. The Lancet. 2015;386(9995):743–800. doi: 10.1016/S0140-6736(15)60692-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Naghavi M, Abajobir AA, Abbafati C, et al. Global, regional, and national age-sex specifc mortality for 264 causes of death, 1980-2016: A systematic analysis for the Global Burden of Disease Study 2016. The Lancet. 2017;390(10100):1151–1210. doi: 10.1016/S0140-6736(17)32152-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Bragg F, Holmes M V, Iona A, et al. Association between diabetes and cause-specific mortality in rural and urban areas of China. JAMA. 2017;317(3):280–289. doi: 10.1001/jama.2016.19720. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Lorber D. Importance of cardiovascular disease risk management in patients with type 2 diabetes mellitus. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy. 2014;7:169–183. doi: 10.2147/DMSO.S61438. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Article O, author. Health Effects of Overweight and Obesity in 195 Countries over 25 Years. New England Journal of Medicine. 2017;377(1):13–27. doi: 10.1056/NEJMoa1614362. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Amadid H, Johansen NB, Bjerregaard AL, et al. The role of physical activity in the development of first cardiovascular disease event: A tree-structured survival analysis of the Danish ADDITION-PRO cohort. Cardiovascular Diabetology. 2018;17(1):1–12. doi: 10.1186/s12933-018-0769-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Rydén L, Grant PJ, Anker SD, et al. ESC guidelines on diabetes, pre-diabetes, and cardiovascular diseases developed in collaboration with the EASD. European Heart Journal. 2013;34(39):3035–3087. doi: 10.1093/eurheartj/eht108. [DOI] [PubMed] [Google Scholar]
  • 12.Hu G, Jousilahti P, Barengo NC, Qiao Q, Lakka TA, Tuomilehto J. Physical activity, cardiovascular risk factors, and mortality among finnish adults with diabetes. Diabetes Care. 2005;28(4):799–805. doi: 10.2337/diacare.28.4.799. [DOI] [PubMed] [Google Scholar]
  • 13.Batty GD, Shipley MJ, Marmot M, Smith GD. Physical activity and cause-specific mortality in men with Type 2 diabetes / impaired glucose tolerance. Diabetic Medicine. 2002;19:580–588. doi: 10.1046/j.1464-5491.2002.00748.x. [DOI] [PubMed] [Google Scholar]
  • 14.Tanasescu M, Leitzmann MF, Rimm EB, Hu FB. Physical Activity in Relation to Cardiovascular Disease and Total Mortality Among Men With Type 2 Diabetes. Circulation. 2003;107:2435–2439. doi: 10.1161/01.CIR.0000066906.11109.1F. [DOI] [PubMed] [Google Scholar]
  • 15.Sone H, Tanaka S, Tanaka S, Suzuki S, Seino H. Leisure-time physical activity is a significant predictor of stroke and total mortality in Japanese patients with type 2 diabetes : analysis from the Japan Diabetes Complications Study (JDCS) Diabetologia. 2013;56:1021–1030. doi: 10.1007/s00125-012-2810-z. [DOI] [PubMed] [Google Scholar]
  • 16.Moe B, Augestad LB, Nilsen TIL. Diabetes severity and the role of leisure time physical exercise on cardiovascular mortality : the Nord-Trøndelag Health study (HUNT), Norway. Cardiovascular Diabetology. 2013;12:83. doi: 10.1186/1475-2840-12-83. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Tielemans SMAJ, Neve M De, Toeller M, Chaturvedi N, Fuller JH, Stamatakis E. Association of physical activity with all-cause mortality and incident and prevalent cardiovascular disease among patients with type 1 diabetes : the EURODIAB Prospective Complications Study. Diabetologia. 2013;56:82–91. doi: 10.1007/s00125-012-2743-6. [DOI] [PubMed] [Google Scholar]
  • 18.Stroup DF, Berlin JA, Morton SC, Olkin I, Williamson GD, Rennie D, Moher D, Becker BJ, Sipe TA TS. Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group. JAMA. 2010;283(15):2008–2012. doi: 10.1001/jama.283.15.2008. [DOI] [PubMed] [Google Scholar]
  • 19.Hamling J, Lee P, Weitkunat R, Ambuhl M. Facilitating meta-analyses by deriving relative effect and precision estimates for alternative comparisons from a set of estimates presented by exposure level or disease category. Statistics in Medicine. 2008;27:954–997. doi: 10.1002/sim.3013. [DOI] [PubMed] [Google Scholar]
  • 20.Wells GA SBOC. The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomized studies in meta-analyses. 2011. [Google Scholar]
  • 21.Higgins JP, Thompson SG, Deeks JJ AD. Measuring inconsistency in meta-analyses. BMJ. 2003;327(7414):557–660. doi: 10.1136/bmj.327.7414.557. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Begg CB, Mazumdar M. Operating Characteristics of a Rank Correlation Test for Publication Bias. Biometrics. 1994;50(4):1088. [PubMed] [Google Scholar]
  • 23.Egger M, Smith GD, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997;315(7109):629–634. doi: 10.1136/bmj.315.7109.629. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Moe B, Midthjell K, Nilsen TIL. Glycaemic control in people with diabetes influences the beneficial role of physical activity on cardiovascular mortality. Prospective data from the HUNT Study, Norway. Primary Care Diabetes. 2015;9(6):451–457. doi: 10.1016/j.pcd.2015.04.007. [DOI] [PubMed] [Google Scholar]
  • 25.JONKER JT, LAET C DE, FRANCO OH, et al. Physical Activity and Life Expectancy With Life table analysis of the Framingham Heart Study. Diabetes Care. 2006;29:38–43. doi: 10.2337/diacare.29.01.06.dc05-0985. [DOI] [PubMed] [Google Scholar]
  • 26.Trichopoulou A, Psaltopoulou T, Orfanos P, Trichopoulos D. Diet and physical activity in relation to overall mortality amongst adult diabetics in a general population cohort. Journal of Internal Medicine. 2006;259:583–591. doi: 10.1111/j.1365-2796.2006.01638.x. [DOI] [PubMed] [Google Scholar]
  • 27.Blomster JI, Chow CK, Zoungas S, et al. The influence of physical activity on vascular complications and mortality in patients with type 2 diabetes mellitus. Diabetes, Obesity and Metabolism. 2013;15(11):1008–1012. doi: 10.1111/dom.12122. [DOI] [PubMed] [Google Scholar]
  • 28.Williams PT. Reduced total and cause-specific mortality from walking and running in diabetes. Medicine and Science in Sports and Exercise. 2014;46(5):933–939. doi: 10.1249/MSS.0000000000000197. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Zethelius B, Gudbjörnsdottir S, Eliasson B, Eeg-Olofsson K, Cederholm J. Level of physical activity associated with risk of cardiovascular diseases and mortality in patients with type-2 diabetes: Report from the Swedish National Diabetes Register. European Journal of Preventive Cardiology. 2014;21(2):244–251. doi: 10.1177/2047487313510893. [DOI] [PubMed] [Google Scholar]
  • 30.Martínez-Gómez D, Guallar-Castillon P, Mota J, Lopez-Garcia E, Rodriguez-Artalejo F. Physical activity, sitting time and mortality in older adults with diabetes. International Journal of Sports Medicine. 2015;36(14):1206–1211. doi: 10.1055/s-0035-1555860. [DOI] [PubMed] [Google Scholar]
  • 31.Lear SA, Hu W, Rangarajan S, et al. The effect of physical activity on mortality and cardiovascular disease in 130 000 people from 17 high-income, middle-income, and low-income countries: the PURE study. The Lancet. 2017;390(10113):2643–2654. doi: 10.1016/S0140-6736(17)31634-3. [DOI] [PubMed] [Google Scholar]
  • 32.Shin WY, Lee T, Jeon DH, Kim HC. Diabetes, frequency of exercise, and mortality over 12 years: Analysis of the national health insurance service-health screening (NHIS-HEALS) database. Journal of Korean Medical Science. 2018;33(8):1–9. doi: 10.3346/jkms.2018.33.e60. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Li CL, Chang HY, Hsu CC, Lu J, fen R, Fang HL. Joint predictability of health related quality of life and leisure time physical activity on mortality risk in people with diabetes. BMC Public Health. 2013;13(1):67. doi: 10.1186/1471-2458-13-67. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Zhao M, Veeranki SP, Magnussen CG, Xi B. Recommended physical activity and all cause and cause specific mortality in US adults: Prospective cohort study. The BMJ. 2020;370:m2031. doi: 10.1136/bmj.m2031. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Blond K, Brinkløv CF, Ried-Larsen M, Crippa A, Grøntved A. Association of high amounts of physical activity with mortality risk: A systematic review and meta-analysis. British Journal of Sports Medicine. 2020;54(20):1195–1201. doi: 10.1136/bjsports-2018-100393. [DOI] [PubMed] [Google Scholar]
  • 36.Ekelund U, Tarp J, Steene-Johannessen J, et al. Dose-response associations between accelerometry measured physical activity and sedentary time and all cause mortality: Systematic review and harmonised meta-analysis. The BMJ. 2019;366:l4570. doi: 10.1136/bmj.l4570. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Patterson R, McNamara E, Tainio M, et al. Sedentary behaviour and risk of all-cause, cardiovascular and cancer mortality, and incident type 2 diabetes: a systematic review and dose response meta-analysis. European Journal of Epidemiology. 2018;33(9):811–829. doi: 10.1007/s10654-018-0380-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Wahid A, Manek N, Nichols M, et al. Quantifying the Association Between Physical Activity and Cardiovascular Disease and Diabetes: A Systematic Review and Meta-Analysis. Journal of the American Heart Association. 2016;5(9):e002495. doi: 10.1161/JAHA.115.002495. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Xu C, Furuya-Kanamori L, Liu Y, et al. Sedentary Behavior, Physical Activity, and All-Cause Mortality: Dose-Response and Intensity Weighted Time-Use Meta-analysis. Journal of the American Medical Directors Association. 2019;20(10):1206–1212.e3. doi: 10.1016/j.jamda.2019.05.001. [DOI] [PubMed] [Google Scholar]
  • 40.Ekelund U, Brown WJ, Steene-johannessen J, et al. Do the associations of sedentary behaviour with cardiovascular disease mortality and cancer mortality differ by physical activity level? A systematic review and harmonised meta-analysis of data from 850 060 participants. British journal of sports medicine. 2019;53(14):886–894. doi: 10.1136/bjsports-2017-098963. [DOI] [PubMed] [Google Scholar]
  • 41.Ekelund U, Steene-johannessen J, Brown WJ, et al. Does physical activity attenuate , or even eliminate , the detrimental association of sitting time with mortality? A harmonised meta-analysis of data from more than 1 million men and women. The Lancet. 2016;388(10051):1302–1310. doi: 10.1016/S0140-6736(16)30370-1. [DOI] [PubMed] [Google Scholar]
  • 42.Walker KZ, Piers LS, Putt RS, Jones JA, O'Dea K. Effects of regular walking on cardiovascular risk factors and body composition in normoglycemic women and women with type 2 diabetes. Diabetes Care. 1999;22(4):555–561. doi: 10.2337/diacare.22.4.555. [DOI] [PubMed] [Google Scholar]
  • 43.Ostman C, Smart NA, Morcos D, Duller A, Ridley W, Jewiss D. The effect of exercise training on clinical outcomes in patients with the metabolic syndrome: A systematic review and meta-analysis. Cardiovascular Diabetology. 2017;16(1):110. doi: 10.1186/s12933-017-0590-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Lehmann R, Vokac A, Niedermann K, Agosti K, Spinas GA. Loss of abdominal fat and improvement of the cardiovascular risk profile by regular moderate exercise training in patients with NIDDM. Diabetologia. 1995;38:1313–1319. doi: 10.1007/BF00401764. [DOI] [PubMed] [Google Scholar]
  • 45.Dun Y, Thomas RJ, Smith JR, et al. High-intensity interval training improves metabolic syndrome and body composition in outpatient cardiac rehabilitation patients with myocardial infarction. Cardiovascular Diabetology. 2019;18(1):104. doi: 10.1186/s12933-019-0907-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Price HC, Tucker L, Griffin SJ, Holman RR. The impact of individualised cardiovascular disease (CVD) risk estimates and lifestyle advice on physical activity in individuals at high risk of CVD: A pilot 2 × 2 factorial understanding risk trial. Cardiovascular Diabetology. 2008;7:21. doi: 10.1186/1475-2840-7-21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Gill JMR, Malkova D. Physical activity, fitness and cardiovascular disease risk in adults: Interactions with insulin resistance and obesity. Clinical Science. 2006;110(4):409–425. doi: 10.1042/CS20050207. [DOI] [PubMed] [Google Scholar]
  • 48.Grace A, Chan E, Giallauria F, Graham PL, Smart NA. Clinical outcomes and glycaemic responses to different aerobic exercise training intensities in type II diabetes: A systematic review and meta-analysis. Cardiovascular Diabetology. 2017;16(1):37. doi: 10.1186/s12933-017-0518-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Qiu S, Cai X, Yin H, et al. Exercise training and endothelial function in patients with type 2 diabetes: A meta-analysis. Cardiovascular Diabetology. 2018;17(1):64. doi: 10.1186/s12933-018-0711-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Vanhees L, Geladas N, Hansen D, et al. Importance of characteristics and modalities of physical activity and exercise in the management of cardiovascular health in individuals with cardiovascular risk factors: Recommendations from the EACPR (Part II) European Journal of Preventive Cardiology. 2012;19(5):1005–1033. doi: 10.1177/1741826711430926. [DOI] [PubMed] [Google Scholar]
  • 51.Schellenberg ES, Dryden DM, Vandermeer B, Ha C, Korownyk C. Lifestyle Interventions for Patients With and at Risk for Type 2 Diabetes. Annals of Internal Medicine. 2013;159(8):543. doi: 10.7326/0003-4819-159-8-201310150-00007. [DOI] [PubMed] [Google Scholar]
  • 52.Van Cauwenberg J, Nathan A, Barnett A, Barnett DW, Cerin E. Relationships Between Neighbourhood Physical Environmental Attributes and Older Adults' Leisure-Time Physical Activity: A Systematic Review and Meta-Analysis. Sports Medicine. 2018;48(7):1635–1660. doi: 10.1007/s40279-018-0917-1. [DOI] [PubMed] [Google Scholar]
  • 53.Marzetti E, Calvani R, Tosato M, et al. Physical activity and exercise as countermeasures to physical frailty and sarcopenia. Aging Clinical and Experimental Research. 2017;29(1):35–42. doi: 10.1007/s40520-016-0705-4. [DOI] [PubMed] [Google Scholar]
  • 54.Colberg SR, Laan R, Dassau E, Kerr D. Physical activity and type 1 diabetes: Time for a rewire? Journal of Diabetes Science and Technology. 2015;9(3):609–618. doi: 10.1177/1932296814566231. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

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

Data Availability Statement

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.


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