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October 11, 2022; 99 (15) Research ArticleOpen Access

Leisure Activities and the Risk of Dementia

A Systematic Review and Meta-analysis

Sizhen Su, Le Shi, Yongbo Zheng, Yankun Sun, Xiaolin Huang, Anyi Zhang, Jianyu Que, Xinyu Sun, Jie Shi, View ORCID ProfileYanping Bao, Jiahui Deng, Lin Lu
First published August 10, 2022, DOI: https://doi.org/10.1212/WNL.0000000000200929
Sizhen Su
From the Peking University Sixth Hospital (S.S., L.S., Y.S., X.H., A.Z., J.Q., X.S., J.D., L.L.), Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital); Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research (Y.Z., L.L.), Peking University, Beijing; and National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence (J.S., Y.B.), Peking University, China.
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Le Shi
From the Peking University Sixth Hospital (S.S., L.S., Y.S., X.H., A.Z., J.Q., X.S., J.D., L.L.), Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital); Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research (Y.Z., L.L.), Peking University, Beijing; and National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence (J.S., Y.B.), Peking University, China.
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Yongbo Zheng
From the Peking University Sixth Hospital (S.S., L.S., Y.S., X.H., A.Z., J.Q., X.S., J.D., L.L.), Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital); Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research (Y.Z., L.L.), Peking University, Beijing; and National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence (J.S., Y.B.), Peking University, China.
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Yankun Sun
From the Peking University Sixth Hospital (S.S., L.S., Y.S., X.H., A.Z., J.Q., X.S., J.D., L.L.), Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital); Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research (Y.Z., L.L.), Peking University, Beijing; and National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence (J.S., Y.B.), Peking University, China.
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Xiaolin Huang
From the Peking University Sixth Hospital (S.S., L.S., Y.S., X.H., A.Z., J.Q., X.S., J.D., L.L.), Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital); Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research (Y.Z., L.L.), Peking University, Beijing; and National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence (J.S., Y.B.), Peking University, China.
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Anyi Zhang
From the Peking University Sixth Hospital (S.S., L.S., Y.S., X.H., A.Z., J.Q., X.S., J.D., L.L.), Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital); Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research (Y.Z., L.L.), Peking University, Beijing; and National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence (J.S., Y.B.), Peking University, China.
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Jianyu Que
From the Peking University Sixth Hospital (S.S., L.S., Y.S., X.H., A.Z., J.Q., X.S., J.D., L.L.), Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital); Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research (Y.Z., L.L.), Peking University, Beijing; and National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence (J.S., Y.B.), Peking University, China.
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Xinyu Sun
From the Peking University Sixth Hospital (S.S., L.S., Y.S., X.H., A.Z., J.Q., X.S., J.D., L.L.), Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital); Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research (Y.Z., L.L.), Peking University, Beijing; and National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence (J.S., Y.B.), Peking University, China.
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Jie Shi
From the Peking University Sixth Hospital (S.S., L.S., Y.S., X.H., A.Z., J.Q., X.S., J.D., L.L.), Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital); Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research (Y.Z., L.L.), Peking University, Beijing; and National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence (J.S., Y.B.), Peking University, China.
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Yanping Bao
From the Peking University Sixth Hospital (S.S., L.S., Y.S., X.H., A.Z., J.Q., X.S., J.D., L.L.), Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital); Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research (Y.Z., L.L.), Peking University, Beijing; and National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence (J.S., Y.B.), Peking University, China.
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  • ORCID record for Yanping Bao
Jiahui Deng
From the Peking University Sixth Hospital (S.S., L.S., Y.S., X.H., A.Z., J.Q., X.S., J.D., L.L.), Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital); Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research (Y.Z., L.L.), Peking University, Beijing; and National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence (J.S., Y.B.), Peking University, China.
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Lin Lu
From the Peking University Sixth Hospital (S.S., L.S., Y.S., X.H., A.Z., J.Q., X.S., J.D., L.L.), Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital); Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research (Y.Z., L.L.), Peking University, Beijing; and National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence (J.S., Y.B.), Peking University, China.
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Leisure Activities and the Risk of Dementia
A Systematic Review and Meta-analysis
Sizhen Su, Le Shi, Yongbo Zheng, Yankun Sun, Xiaolin Huang, Anyi Zhang, Jianyu Que, Xinyu Sun, Jie Shi, Yanping Bao, Jiahui Deng, Lin Lu
Neurology Oct 2022, 99 (15) e1651-e1663; DOI: 10.1212/WNL.0000000000200929

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Abstract

Background and Objectives Leisure activities are major components of modifiable and healthy lifestyles and are proposed to help prevent the development of dementia. This study aimed to assess the effects of different types of leisure activities, including cognitive, physical, and social activities, on the incidence of all-cause dementia (ACD), Alzheimer disease (AD), and vascular dementia (VD).

Methods We performed a systematic review and meta-analysis of the Cochrane, PubMed, Embase, and Web of Science databases to identify longitudinal studies that examined associations between leisure activities and dementia. Relative risks (RRs) and 95% CIs were pooled using random-effects meta-analysis. Subgroup analyses were used to estimate potential effect modifiers. The study was registered with PROSPERO (CRD42019116857).

Results A total of 38 longitudinal studies, with 2,154,818 participants at baseline, 74,700 ACD cases, 2,848 AD cases, and 1,423 VD cases during follow-up, were included in the meta-analysis. The subgroup analyses showed that physical (RR 0.83, 95% CI 0.78–0.88), cognitive (RR 0.77; 95% CI 0.68–0.87), and social (RR 0.93; 95% CI 0.87–0.99) activities were associated with a decreased incidence of ACD. In addition, physical (RR 0.87; 95% CI 0.78–0.96) and cognitive (RR 0.66; 95% CI 0.52–0.85) activities were related to a reduced risk of AD. Physical activity (RR 0.67; 95% CI 0.53–0.85) was associated with a lower incidence of VD.

Discussion Our findings suggest that leisure activities are inversely associated with a risk of ACD, AD, and VD.

Glossary

ACD=
all-cause dementia;
AD=
Alzheimer disease;
BDNF=
brain-derived neurotrophic factor;
CA=
cognitive activity;
FNDC5=
fibronectin type III domain-containing protein 5;
HR=
hazard ratio;
NOS=
Newcastle-Ottawa Scale;
OR=
odds ratio;
PA=
physical activity;
RR=
relative risk;
SA=
social activity;
VD=
vascular dementia;
WHO=
World Health Organization

Dementia is one of the most prevalent health issues. It is the fifth leading cause of death, affecting 50 million people worldwide in 2018 according to the World Health Organization (WHO).1,2 As life expectancy increases, the number of people with all-cause dementia (ACD) is expected to reach approximately 152 million by 2050, of which Alzheimer disease (AD) and vascular dementia (VD) are the 2 main subtypes.2,3 Although numerous new treatments are being investigated, no treatments can cure dementia or alter its pathologic progression. The WHO recommends risk reduction to reduce the global burden of dementia.4 Evidence-based prevention programs are needed to decrease or delay the onset of dementia.

Leisure activities, including physical activity (PA), cognitive activity (CA), and social activity (SA), are major components of modifiable and healthy lifestyles and are beneficial to cognition.5,-,8 Previous studies showed that leisure activities were associated with various health benefits, such as a lower cancer risk,9 a reduction of atrial fibrillation,10 and subjective well-being.11 However, evidence of the role of leisure activities in the prevention of dementia is conflicting. Some studies indicated that engagement in leisure activities may be a potential protective factor against the risk of cognitive impairment and dementia.5,12 Other studies found no significant relationship between leisure activities and the progression of dementia or AD pathophysiology.13,14 Furthermore, AD and VD have different etiologies. Unclear are the specific subtypes of dementia that may benefit from leisure activities or the ways in which different types of leisure activities can influence the risk of incident dementia. For example, several studies found that PA was related to a reduced risk of AD,15,16 but other studies showed that PA was associated with a lower risk of VD but not AD.17,18 CA also exerted contradictory effects on incident dementia.19,20 To develop effective strategies to protect against dementia, detailed associations between different types of leisure activities and dementia and its subtypes need to be identified.

This study systematically reviewed studies of the role of leisure activities in the development of dementia and performed meta-analyses. We assessed the effect of PA, CA, and SA on the incidence of ACD, AD, and VD and discussed the potential mechanisms of these associations and proposed strategies to prevent incident dementia.

Methods

Search Strategy

We performed a systematic review and meta-analysis in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines (eTable 1, links.lww.com/WNL/C200)21 and the Meta-analyses of Observational Studies in Epidemiology Checklist (eTable 2)22 guidelines. The study was registered with PROSPERO (CRD42019116857). The Cochrane, PubMed, Embase, and Web of Science databases were searched for relevant studies up to May 8, 2021. Longitudinal studies that were published in English and assessed the role of leisure activities in incident ACD, AD, and VD were included. The following search terms (eTable 3) were used: (“leisure activities” OR “recreation” OR “cognitive activities” OR “cognitive stimulation” OR “intellectual activities” OR “mental activities” OR “exercise” OR “physical activities” OR “social activities”) AND (“dementia” OR “Alzheimer's disease” OR “vascular dementia”) AND (“cohort studies” OR “longitudinal studies” OR “prospective studies” OR “nested case control studies”).

Selection Criteria

Three authors (S.S., L.S., and Y.Z.) independently screened the titles and abstracts for the eligibility of studies and reviewed the full-text articles using the Endnote X9 software. Studies were included if they met the following criteria: (1) evaluated associations between leisure activities and the incident dementia in the general population, (2) diagnosed dementia based on international diagnostic criteria, (3) used a longitudinal design (cohort studies and nested case-control studies), (4) ascertained leisure activities via questionnaires, or interviews, and (5) provided sufficient data to calculate odds ratios (ORs), relative risks (RRs), or hazard ratios (HRs) with 95% CIs based on multivariate adjustment. The following exclusion criteria were applied: (1) case reports, commentaries, conference abstracts, reviews, and cross-sectional studies, (2) studies that presented cognitive function as a continuous variable without available ORs, RRs, or HRs, and (3) studies for which the outcome measure was not ACD, AD, or VD.

Data Extraction

The data were independently extracted from eligible articles by 3 authors (S.S., L.S., and Y.S.) who subsequently cross-checked the data, and additional information was obtained by contacting authors. Discrepancies were resolved by discussion until a consensus was reached. The following information was extracted from each study: (1) first author, (2) publication year, (3) study design, (4) research site (country), (5) total number of participants at baseline and dementia cases during follow-up, (6) characteristics of baseline participants, such as sex ratio and age distribution, (7) follow-up time, (8) methods of ascertainment and operationalization of leisure activities, (9) type, duration, frequency, and intensity of leisure activities, (10) clinical tools used for dementia diagnosis, (11) effect estimates (ORs, RRs, or HRs) with 95% CIs, and (12) covariates that were used for adjustment.

Quality Assessment

Three authors (S.S., L.S., and X.H.) assessed the quality of individual studies using the Newcastle-Ottawa Scale (NOS).23 The following items were considered: selection of the study groups, comparability of groups, and ascertainment of outcome measure for cohort studies with a sufficiently long follow-up time (≥5 years). A study could have a maximum quality score of 9. Studies with 7–9 points were of high quality. Studies with 4–6 points were of medium quality. Studies with 0–3 points were of low quality.

Definitions

Leisure activities, including CA, PA, and SA, were defined as activities in which individuals engaged for enjoyment or well-being.24 CA mainly consisted of conscious and intellectual activities and included, but were not limited to, reading books, magazines, or newspapers, watching television, listening to the radio, writing for pleasure or calligraphy, playing games (e.g., cards, checkers, crossword puzzles, or other puzzles), playing musical instruments, using a computer or browsing the Internet, painting, and engaging in handicrafts. Physical activities included, but were not limited to, walking for exercise, hiking or excursions, jogging or running, swimming, stair climbing, bicycling, using exercise machines, playing ballgames or racket sports, participating in group exercises, performing Qigong or Yoga, performing calisthenics, and dancing. Social activities mainly referred to activities that involved communication with others and included, but were not limited to, attending an interest class, joining a social center, participating in volunteer work, meeting relatives or friends, attending religious activities, and participating in organized group discussions.5,20,24,25

In this study, ACD, AD, and VD were diagnosed based on the Diagnostic and Statistical Manual of Mental Disorders, International Statistical Classification of Diseases and Related Health Problems, National Institute of Neurological Disorders and Stroke and Alzheimer's Disease and Related Disorders Association criteria, National Institute of Neurological Disorders and Stroke and Association Internationale pour la Recherche et l'Enseignement en Neurosciences criteria, California Alzheimer's Disease Diagnostic and Treatment Centers criteria, Consortium to Establish a Registry for Alzheimer Disease and Pittsburgh Alzheimer Disease Research Center assessment protocols, Manchester-Lund criteria, and other recognized diagnostic criteria.

Statistical Analysis

The statistical analyses were performed using STATA 15 software. Because the incidence of dementia was very low, ORs, RRs, and HRs were treated equally.26 The RRs and 95% CIs were used to indicate effect sizes. Heterogeneity was evaluated using the I2 statistic (I2 = 0%–60% [none to moderate] and I2 > 60% [substantial statistical heterogeneity]). If no heterogeneity was found, a fixed-effect model was used, or the random-effect model was chosen to bolster the results. Subgroup analyses were conducted to explore the effects of PA, CA, and SA on incident ACD, AD, and VD. We used meta-regression to assess the effects of age, sex, years of follow-up, number of participants, and broad WHO regional classification (i.e., Africa, Americas, Asia, Europe, and Oceania) on study-specific effect estimates. Funnel plots were used to assess publication bias. Egger tests were used to estimate publication bias. Values of p < 0.05 were considered statistically significant. Sensitivity analyses were conducted to evaluate the influence of each study on the overall results.

Results

Figure 1 presents a flowchart of the identification of eligible studies. A total of 16,126 articles were retrieved. After excluding duplicate publications, there were 13,307 articles, of which 12,571 were irrelevant studies, reviews, commentaries, guidelines, case reports, perspectives, meeting abstracts, animal, cellular/molecular studies, and non-English studies. Of the remaining 736 studies, a total of 38 longitudinal studies were included in the meta-analysis after reviewing the full texts.5,-,7,15,-,20,27-e55

Figure 1
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Figure 1 Flowchart of the Identification of Eligible Studies

Characteristics of Eligible Studies

The characteristics of the 38 eligible longitudinal studies (37 cohort studies and 1 nested case-control study) are presented in Table 1.5,-,7,15,-,20,27-e55 These studies had a total of 2,154,818 participants (mean age: 45.00–93.00 years) at baseline, 74,700 ACD cases, 2,848 AD cases, and 1,423 VD cases during follow-up (2.90–44.00 years). Among these studies, 12 were conducted in North America,5,15,31,33,35,36,44,-,46,48,50,e53 22 were conducted in Europe,6,16,-,19,27,-,30,32,37,-,43,47,49,e51,e52,e55 3 were conducted in Asia,20,34,e54 and 1 was conducted in Oceania.7 According to the NOS (eTable 4, links.lww.com/WNL/C200), 32 studies were of high quality,5,-,7,15,16,18,-,20,28,-,38,40,42,43,45-e51,e53-e55 and 6 studies were of medium quality.17,27,39,41,44,e52 The measurement of leisure activities was based on self-report questionnaires in 24 studies5,6,15,17,-,20,28,32,34,-,36,41,43,-,47,49-e51,e53-e55 and interviews in 14 studies.7,16,27,29,-,31,33,37,-,40,42,48,e52 Detailed information about the methods that were used to reflect features of leisure activities, such as frequency, intensity, or duration, in the original studies is shown in eTable 5. All studies provided RRs (HRs or ORs) and 95% CIs based on adjustment for multiple potential covariates, including age, sex, education, and ApoE (eTable 5).

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Table 1

Summary of Longitudinal Studies Included in the Meta-analysis

Leisure Activities and ACD

Thirty-six studies investigated the relationship between leisure activities and ACD,5,-,7,16,-,20,27-e52,e54,e55 including 2,152,163 participants (mean age: 45.00–93.00 years) at baseline and 74,700 ACD cases during follow-up (2.90–44.00 years). Five studies of these studies showed only the relationship of leisure activities and incident dementia.30,40,44,48,49 Others investigated the role of different types of leisure activities, including PA (29 studies), CA (8 studies), and SA (4 studies), in the incidence of ACD. The meta-analysis showed that individuals who engaged in leisure activities were associated with a 0.83-fold lower risk of developing ACD compared with individuals who did not engage in leisure activities (RR 0.83, 95% CI 0.80–0.87, I2 = 79.9%, p < 0.001; Figure 2). The subgroup analyses showed that PA, CA, and SA were inversely associated with incidence of ACD (PA: RR 0.83, 95% CI 0.78–0.88, I2 = 73.8%, p < 0.001; CA: RR 0.77, 95% CI 0.68–0.87, I2 = 83.6%, p < 0.001; SA: RR 0.93, 95% CI 0.87–0.99, I2 = 12.7%, p = 0.329; Figure 5; eFigure 1, links.lww.com/WNL/C200). The meta-regression showed that types of leisure activities, number of participants, sex, age at baseline, follow-up duration, and WHO regional classification were not significantly associated with development of ACD (eTable 6).

Figure 2
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Figure 2 Forest Plot of the Protective Role of Leisure Activities in the Risk of All-Cause Dementia

The results are expressed as RRs and 95% CIs. RR = relative risk.

Leisure Activities and AD

Fifteen articles assessed the role of leisure activities in incident AD.6,15,-,18,28,31,34,-,36,38,43,46,50,e53 These studies included a total of 60,666 participants (mean age: 47.20–81.10 years) at baseline and 2,848 AD cases during follow-up (3.90–44.00 years). Compared with participants who did not engage in leisure activities at baseline, participants who engaged in leisure activities were associated with an 18% lower risk of developing AD (RR 0.82, 95% CI 0.74–0.90, I2 = 72.7%, p < 0.001; Figure 3). The subgroup analysis, including PA (14 studies), CA (4 studies), and SA (1 study), showed that the tendency was the same when examining the roles of PA and CA in the occurrence of AD (PA: RR 0.87, 95% CI 0.78–0.96, I2 = 64.4%, p < 0.001; CA: RR 0.66, 95% CI 0.52–0.85, I2 = 70.3%, p = 0.018; Figure 5; eFigure 2, links.lww.com/WNL/C200). Because of the limited number of studies (n = 1), no significant association was found between SA and the risk of AD (RR 0.89, 95% CI 0.63–1.26; Figure 5; eFigure 2). The meta-regression showed that types of leisure activities, number of participants, sex, age at baseline, follow-up duration, and WHO regional classification were not significantly associated with incidence of AD (eTable 6).

Figure 3
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Figure 3 Forest Plot of the Protective Role of Leisure Activities in the Risk of Alzheimer Disease

The results are expressed as RRs and 95% CIs. RR = relative risk.

Leisure Activities and VD

The overall weighted RRs for associations between leisure activities and VD are shown in Figure 4. Nine articles that included 40,600 participants (mean age: 47.20–74.80 years) at baseline and 1,423 VD cases during follow-up (3.00–44.00 years) evaluated the role of leisure activities in incident VD.16,-,18,31,34,36,43,46,e52 We found that participants who engaged in leisure activities were associated with a 0.68-fold lower risk of VD compared with participants who did not engage in leisure activities (RR 0.68, 95% CI 0.54–0.86, I2 = 61.8%, p = 0.007; Figure 4). The subgroup analyses of PA (9 studies) showed that participants who engaged in PA were associated with a lower risk of VD compared with participants who did not engage in PA (RR 0.67, 95% CI 0.53–0.85, I2 = 61.5%, p = 0.008; Figure 5; eFigure 3, links.lww.com/WNL/C200). With regard to the relationship between CA and VD risk, only 1 study found that CA was not significantly associated with development of VD (RR 0.98, 95% CI 0.44–2.18; Figure 5; eFigure 3). No study evaluated the relationship between SA and incident VD. The meta-regression showed that types of leisure activities, number of participants, sex, age at baseline, follow-up duration, and WHO regional classification were not significantly associated with occurrence of VD (eTable 6).

Figure 4
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Figure 4 Forest Plot of the Protective Role of Leisure Activities in the Risk of Vascular Dementia

The results are expressed as RRs and 95% CIs. RR = relative risk.

Figure 5
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Figure 5 Subgroup Analysis of the Protective Role of Different Types of Leisure Activities in the Risk of All-Cause Dementia, Alzheimer Disease, and Vascular Dementia

RR = relative risk.

Publication Bias and Sensitivity Analysis

eFigure 4 (links.lww.com/WNL/C200) presented funnel plots of the meta-analyses of the roles of leisure activities in incident ACD, AD, and VD. Publication bias assessed using Egger tests was found when evaluating the relationships between leisure activities and incident ACD and AD, indicating that there was a selective publication, and some negative results might be underreported (eFigure 5). To investigate the effect of any 1 study on the overall results, sensitivity analysis was performed. No change in the direction of the results was found after excluding any single study (eFigures 6 and 7).

Discussion

The present meta-analysis comprehensively and quantitatively assessed the association between different types of leisure activities and the risk of ACD and its 2 major subtypes, AD and VD, based on studies with large sample sizes. We found that leisure activities were significantly associated with a lower risk of incident ACD, AD, and VD, even after adjusting for confounding factors. PA was inversely associated with a risk of ACD, AD, and VD. CA was in relation with a reduced risk of ACD and AD. SA was associated with a reduced incidence of ACD. These findings indicate the potential relationship between various types of leisure activities and different subtypes of dementia risk, with implications for future strategies that seek to prevent the incident dementia.

After pooling 2,154,818 participants at baseline and 74,700 ACD cases during follow-up from 38 articles, we found that participants who engaged in leisure activities were associated with a 0.83-fold lower risk of incident ACD. Leisure activities were in relation with a decreased risk of AD and VD. Leisure activities are generally modifiable factors. Based on the findings, some measures may be considered to decrease the incident dementia. Our results are consistent with previous meta-analyses,41,e56,e57 but these previous studies did not consider the relationship between different types of leisure activities and dementia risk. Because different types of leisure activities may have distinct influences, we classify leisure activities into PA, CA, and SA and discussed the unique possible influence of each activity on dementia. Furthermore, we focus on the 2 most prevalent dementia subtypes to determine the associations between different types of leisure activities and AD and VD. This study provides a comprehensive synthesis of 3 types of leisure activities and ACD and its 2 subtypes, AD and VD, for the development of early and effective management strategies and policies for the prevention of dementia. In addition, this study not only provides an update to previous meta-analyses in this field but also uses a unified selection criteria and quality assessment for different types of leisure activities to reduce heterogeneity and ensure the robustness of epidemiologic evidence and quantitative estimation.

Many studies have assessed the association between PA and the risk of developing dementia. Our results are consistent with previous studies and provide further evidence of the correlation between PA and incident ACD and its 2 subtypes, AD and VD.7,15,17,18,20,27,29,31,34,-,38,42,43,45,e51,e52,e54 Fibronectin type III domain-containing protein 5 (FNDC5)/irisin was found to be reduced in AD patients and in AD experimental models, and PA might rescue synaptic plasticity and memory deficits, important factors in the dementia process, by the mediation of FNDC5/irisin.e58 A previous meta-analysis showed that PA was associated with a lower risk of AD compared with ACD and VD.e57 Evidence from animal and human studies suggests that PA is related to lower levels of brain β-amyloid plaques and tau proteins, which have been implicated in the progression of AD.e59-e62 PA is also beneficial for attenuating β-amyloid–related gray matter volume loss in the brain, ameliorating impairments in hippocampal neurogenesis and plasticity, and lowering oxidative stress.e63-e67 Long-term PA was reported to be associated with improvement on cognitive function with increased hippocampal brain-derived neurotrophic factor (BDNF) and synaptophysin.e63 With regard to VD, the association between PA and the lower risk of VD is consistent with previous studies.17,31,e52 A meta-analysis showed that the increased risk of dementia was related to physically inactive individuals with cardiometabolic disease.14 Moreover, previous studies found that PA decreased the risk of vascular and metabolic adverse events, enhanced insulin sensitivity, increased BDNF levels, and increased hippocampus volume.e68-e71 A recent study showed that PA benefited the brain by increasing clusterin and decreasing neuroinflammation in patients with cognitive impairment.e72 However, detailed relationships between PA and the incidence of AD and VD and the associated mechanisms need further exploration.

CA is different from PA, although it was still shown to be related to decreased incidence of ACD and AD. CA helps maintain and improve cognitive skills, such as memory, processing speed, thinking, and reasoning skills. Many studies have confirmed the beneficial role of CA in preventing dementia, even after controlling for vascular risk factors, depressive symptoms, and physical functioning.5,6,20,e53 A large-sample cohort study that included 15,582 participants (aged 71–77 years) and a 5.0-year median follow-up time showed that CA was linked to a 29% lower risk of dementia.20 CA has been found to modulate disease progression and increase hippocampal neurogenesis by upregulating neurotrophins and BDNF in mutant mice with AD-like pathology.e73 A systematic review of diffusion tensor imaging in middle-aged adults showed that cognitive training was effective against age-related frontal and medial white matter microstructural decline.e74 Moreover, previous studies have shown that CA is more related to mental stimulation than PA and SA and may enhance the survival of hippocampal neurons and lead to better cognitive performance.e75-e77 However, because of the limited number of studies that were included in the present meta-analysis, we cannot exclude the possible role of CA in the development of VD. Furthermore, watching television was defined as a CA in 3 of 9 studies that investigated the correlation between CA and dementia included in this meta-analysis.6,20,48 This broad definition may contribute to a bias because watching television may be insufficiently stimulating to promote cognitive performance,e78 and the effect of watching television needs to be further investigated by strictly designed large-scale clinical trials. A more stringent definition needs to be used in further studies when investigating the association between CA and dementia.

SA was also associated with a decreased incidence of ACD, although this finding was based on only 4 studies. However, this finding was inconsistent with the results of 2 cohort studies.6,20 This discrepancy may be attributable to the relatively low number of studies. The protective effect of SA on cognitive function may be associated with the enhancement of social contact and emotional support and reduction of depression and stress.e76,e79 However, socially active people tend to engage in more CA and PA, which are associated with a lower risk of ACD. Because the intercorrelation and complexity among different types of leisure activities were not clearly reported in most studies, we were unable to investigate the extent to which people engage in all 3 activities. Thus, ascertaining the real effect of SA on ACD may be difficult. Future studies should determine whether specifically SA plays a role in preventing ACD. Moreover, the association between SA and incident AD and VD is still unclear. Only one such study was included in the present meta-analysis, and no significant relationship was found between SA and AD.6 The finding of the effect of SA on dementia prompts the importance of implementation of SA for public health of the elderly especially in the context of coronavirus disease 2019 pandemic and quarantine strategy. Further studies should investigate the relationship between SA, especially social communication, and the development of AD and VD.

The present meta-analysis benefited from a large sample size and comprehensive examinations of the correlation between 3 types of leisure activities and ACD and its subtypes. However, our study has several limitations. First, self-reports via questionnaires and interviews were mostly used to assess leisure activities, which may lead to misestimation of the effects of leisure activities on dementia. Second, we did not analyze the effects of different levels (strenuous or frequent) of leisure activities on the risk of dementia because of the limited number of studies that met the selection criteria. Specifically defining different levels of PA, CA, and SA using uniform standards is difficult because the methods used to assess leisure activities were quite different among the original studies. Third, publication bias exists when evaluating the relationship between leisure activities and incident ACD and AD. This article was limited to longitudinal studies that were published in English, and research in other languages and gray literature were not captured, which may result in publication bias, meaning that the correlative inference is limited. Fourth, as over a third of the included studies had a follow-up of less than 6 years, many of the participants with dementia were likely to have undiagnosed early stage disease at the time of enrollmentin this study. Therefore, a longer follow-up period is needed to confirm the correlation between leisure activities and dementia in the future. Finally, leisure activities were divided into 3 different categories including PA, CA, and SA, and each of which also included different kinds of activities. Our analysis did not provide evidence of the association between each specific activity and dementia because of the limited number of studies.

In conclusion, the present meta-analysis found that leisure activities were significantly associated with a lower risk of incident dementia. Physical, cognitive, and social activities were inversely associated with incidence of ACD. The lower incidence of AD was significantly related to PA and CA, and individuals who engaged in PA were correlated to a relatively low risk of VD. Future studies should include large sample sizes and long follow-up time to objectively assess leisure activities based on standard methods to reveal further associations between leisure activities and incident dementia.

Study Funding

This study was funded by the Natural Science Foundation of China (Nos. 31900805, 81521063, and 82171514), the Young Elite Scientists Sponsorship Program by CAST (2019QNRC001), and PKU-Baidu Fund (2020BD011).

Disclosure

The authors report no relevant disclosures. Go to Neurology.org/N for full disclosures.

Appendix Authors

Table

Footnotes

  • Go to Neurology.org/N for full disclosures. Funding information and disclosures deemed relevant by the authors, if any, are provided at the end of the article.

  • ↵* These authors contributed equally to this work and are co–first authors.

  • ↵† These authors contributed equally to this work and are co–senior authors.

  • The Article Processing Charge was funded by Peking University.

  • Submitted and externally peer reviewed. The handling editors were Rawan Tarawneh, MD, and Brad Worrall, MD, MSc, FAAN.

  • Received October 23, 2021.
  • Accepted in final form May 19, 2022.
  • Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.

This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND), which permits downloading and sharing the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.

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