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Iso-Markku P, Aaltonen S, Kujala UM, Halme HL, Phipps D, Knittle K, Vuoksimaa E, Waller K. Physical Activity and Cognitive Decline Among Older Adults: A Systematic Review and Meta-Analysis. JAMA Netw Open 2024; 7:e2354285. [PMID: 38300618 PMCID: PMC10835510 DOI: 10.1001/jamanetworkopen.2023.54285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 12/11/2023] [Indexed: 02/02/2024] Open
Abstract
Importance Physical activity is associated with the risk for cognitive decline, but much of the evidence in this domain comes from studies with short follow-ups, which is prone to reverse causation bias. Objective To examine how length of follow-up, baseline age, physical activity amount, and study quality modify the longitudinal associations of physical activity with cognition. Data Sources Observational studies of adults with a prospective follow-up of at least 1 year, a valid baseline cognitive measure or midlife cohort, and an estimate of the association of baseline physical activity and follow-up cognition were sought from PsycInfo, Scopus, CINAHL, Web of Science, SPORTDiscus, and PubMed, with the final search conducted on November 2, 2022. Study Selection Two independent researchers screened titles with abstracts and full-text reports. Data Extraction and Synthesis Two reviewers independently assessed study quality and extracted data. Pooled estimates of association were calculated with random-effects meta-analyses. An extensive set of moderators, funnel plots, and scatter plots of physical activity amount were examined. This study is reported following the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline. Main Outcomes and Measures Pooled estimates of the associations between physical activity and global cognition, as well as specific cognitive domains, were examined. Results A total of 104 studies with 341 471 participants were assessed. Analysis of binary outcomes included 45 studies with 102 452 individuals, analysis of follow-up global cognition included 14 studies with 41 045 individuals, and analysis of change in global cognition included 25 studies with 67 463 individuals. Physical activity was associated with a decreased incidence of cognitive impairment or decline after correction for funnel plot asymmetry (pooled risk ratio, 0.97; 95% CI, 0.97-0.99), but there was no significant association in follow-ups longer than 10 years. Physical activity was associated with follow-up global cognition (standardized regression coefficient, 0.03; 95% CI, 0.02-0.03) and change in global cognition (standardized regression coefficient, 0.01; 95% CI, 0.01 to 0.02) from trim-and-fill analyses, with no clear dose-response or moderation by follow-up length, baseline age, study quality or adjustment for baseline cognition. The specific cognitive domains associated with physical activity were episodic memory (standardized regression coefficient, 0.03; 95% CI, 0.02-0.04) and verbal fluency (standardized regression coefficient, 0.05; 95% CI, 0.03-0.08). Conclusions and Relevance In this meta-analysis of the association of physical activity with cognitive decline, physical activity was associated with better late-life cognition, but the association was weak. However, even a weak association is important from a population health perspective.
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Affiliation(s)
- Paula Iso-Markku
- Institute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland
- Helsinki University Hospital Diagnostic Center, Clinical Physiology and Nuclear Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Sari Aaltonen
- Institute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland
| | - Urho M Kujala
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Hanna-Leena Halme
- Helsinki University Hospital Diagnostic Center, Clinical Physiology and Nuclear Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Daniel Phipps
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Keegan Knittle
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Eero Vuoksimaa
- Institute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland
| | - Katja Waller
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
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Dupré C, Brégère M, Berger M, Pichot V, Celle S, Garet M, Fundenberger H, Barth N, Guyot J, Bongue B, Barthélémy JC, Roche F, Hupin D. Relationship between moderate-to-vigorous, light intensity physical activity and sedentary behavior in a prospective cohort of older French adults: a 18-year follow-up of mortality and cardiovascular events ─ the PROOF cohort study. Front Public Health 2023; 11:1182552. [PMID: 37351092 PMCID: PMC10284080 DOI: 10.3389/fpubh.2023.1182552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 05/08/2023] [Indexed: 06/24/2023] Open
Abstract
Background It is well documented that moderate-to-vigorous intensity physical activity (MVPA) is effective in the prevention of major chronic diseases. Even though the current international physical activity (PA) guidelines still mainly focus on MVPA, the topic of the most recent epidemiological studies has shifted from MVPA to light intensity physical activity (LPA), owing to the necessity of promoting all activities vs. sedentary behavior (SB). However, the evidence remains currently limited. Thus, the clarification of the effects of LPA and the close relationship with SB is crucial to promote public health. Method PA and SB were assessed by a validated self-administered questionnaire (POPAQ) investigating 5 different types of PA during the 7 previous days. PA was measured in metabolic equivalent of task (MET)-h, which refers to the amount of energy (calories) expended per hour of PA. SB was measured in hour/day. Medical histories and examinations were taken during each clinical visit to determine clinical events. All-cause mortality was established using the same procedure and by checking local death registries. The relationships between the intensity of PA (light, moderate to vigorous) and mortality and between the periods of SB and mortality or CV events were analyzed by splines and COX models, adjusted for sex and year of birth. Results From the 1011 65-year-old subjects initially included in 2001 (60% women), the last 18-year follow-up has been currently completed since 2019. A total of 197 deaths (19.2%, including 77 CV deaths) and 195 CV events (19.3%) were reported. Averages (standard deviation) of MVPA, LPA and SB were, respectively, 1.2 h/d (0.3), 5.8 h/d (1.1), and 6.6 h/d (2.3). For all-cause deaths, as well as CV deaths, the splines were significant for LPA (p = 0.04 and p = 0.01), and MVPA (p < 0.001 and p < 0.001), but not for SB (p = 0.24 and p = 0.90). There was a significant reduction in CV events when SB was decreasing from 10.9 to 3.3 h/d. Conclusion The PROOF cohort study shows a clear dose-response between the dose of LPA, MVPA, SB and risk of mortality. These findings provide additional evidence to support the inclusion of LPA in future PA guidelines.
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Affiliation(s)
- Caroline Dupré
- Jean Monnet University Saint-Etienne, Mines Saint-Etienne, University Hospital of Saint-Etienne, INSERM, U1059, DVH Team, SAINBIOSE, Saint-Étienne, France
- Jean Monnet University Saint-Etienne, University Hospital of Saint-Etienne, Presage Institute, Chaire Santé des Ainés, Saint-Étienne, France
| | - Marlène Brégère
- University Hospital of Saint-Etienne, Faculty of Medicine, Jean Monnet University, Saint-Étienne, France
| | - Mathieu Berger
- Jean Monnet University Saint-Etienne, Mines Saint-Etienne, University Hospital of Saint-Etienne, INSERM, U1059, DVH Team, SAINBIOSE, Saint-Étienne, France
- Department of Clinical and Exercise Physiology, University Hospital Center, Saint-Étienne, France
| | - Vincent Pichot
- Jean Monnet University Saint-Etienne, Mines Saint-Etienne, University Hospital of Saint-Etienne, INSERM, U1059, DVH Team, SAINBIOSE, Saint-Étienne, France
- Department of Clinical and Exercise Physiology, University Hospital Center, Saint-Étienne, France
| | - Sébastien Celle
- Jean Monnet University Saint-Etienne, Mines Saint-Etienne, University Hospital of Saint-Etienne, INSERM, U1059, DVH Team, SAINBIOSE, Saint-Étienne, France
- Department of Clinical and Exercise Physiology, University Hospital Center, Saint-Étienne, France
| | - Martin Garet
- Jean Monnet University Saint-Etienne, Mines Saint-Etienne, University Hospital of Saint-Etienne, INSERM, U1059, DVH Team, SAINBIOSE, Saint-Étienne, France
- Department of Clinical and Exercise Physiology, University Hospital Center, Saint-Étienne, France
| | - Hervé Fundenberger
- Jean Monnet University Saint-Etienne, Mines Saint-Etienne, University Hospital of Saint-Etienne, INSERM, U1059, DVH Team, SAINBIOSE, Saint-Étienne, France
- Jean Monnet University Saint-Etienne, University Hospital of Saint-Etienne, Presage Institute, Chaire Santé des Ainés, Saint-Étienne, France
| | - Nathalie Barth
- Jean Monnet University Saint-Etienne, Mines Saint-Etienne, University Hospital of Saint-Etienne, INSERM, U1059, DVH Team, SAINBIOSE, Saint-Étienne, France
- Jean Monnet University Saint-Etienne, University Hospital of Saint-Etienne, Presage Institute, Chaire Santé des Ainés, Saint-Étienne, France
- Gérontopôle Auvergne Rhône-Alpes, Saint-Étienne, France
| | - Jessica Guyot
- Jean Monnet University Saint-Etienne, Mines Saint-Etienne, University Hospital of Saint-Etienne, INSERM, U1059, DVH Team, SAINBIOSE, Saint-Étienne, France
- Jean Monnet University Saint-Etienne, University Hospital of Saint-Etienne, Presage Institute, Chaire Santé des Ainés, Saint-Étienne, France
| | - Bienvenu Bongue
- Jean Monnet University Saint-Etienne, Mines Saint-Etienne, University Hospital of Saint-Etienne, INSERM, U1059, DVH Team, SAINBIOSE, Saint-Étienne, France
- Jean Monnet University Saint-Etienne, University Hospital of Saint-Etienne, Presage Institute, Chaire Santé des Ainés, Saint-Étienne, France
- Centre Technique d’Appui et de Formation des Centres d’Examens de Santé, Saint-Étienne, France
| | - Jean-Claude Barthélémy
- Jean Monnet University Saint-Etienne, Mines Saint-Etienne, University Hospital of Saint-Etienne, INSERM, U1059, DVH Team, SAINBIOSE, Saint-Étienne, France
- Jean Monnet University Saint-Etienne, University Hospital of Saint-Etienne, Presage Institute, Chaire Santé des Ainés, Saint-Étienne, France
- Department of Clinical and Exercise Physiology, University Hospital Center, Saint-Étienne, France
| | - Frédéric Roche
- Jean Monnet University Saint-Etienne, Mines Saint-Etienne, University Hospital of Saint-Etienne, INSERM, U1059, DVH Team, SAINBIOSE, Saint-Étienne, France
- Jean Monnet University Saint-Etienne, University Hospital of Saint-Etienne, Presage Institute, Chaire Santé des Ainés, Saint-Étienne, France
- Department of Clinical and Exercise Physiology, University Hospital Center, Saint-Étienne, France
| | - David Hupin
- Jean Monnet University Saint-Etienne, Mines Saint-Etienne, University Hospital of Saint-Etienne, INSERM, U1059, DVH Team, SAINBIOSE, Saint-Étienne, France
- Jean Monnet University Saint-Etienne, University Hospital of Saint-Etienne, Presage Institute, Chaire Santé des Ainés, Saint-Étienne, France
- Department of Clinical and Exercise Physiology, University Hospital Center, Saint-Étienne, France
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Yang X, Xu XY, Guo L, Zhang Y, Wang SS, Li Y. Effect of leisure activities on cognitive aging in older adults: A systematic review and meta-analysis. Front Psychol 2022; 13:1080740. [PMID: 36619041 PMCID: PMC9815615 DOI: 10.3389/fpsyg.2022.1080740] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 12/06/2022] [Indexed: 12/24/2022] Open
Abstract
Abnormal cognitive aging in older adults is a growing public health problem. Previous studies showed inconsistent results pertaining to the effects of leisure activities on cognitive function in older adults. We conducted a systematic review and meta-analysis of published observational longitudinal studies to examine and synthesize the effects of leisure activities on cognitive function in older adults. MEDLINE, PubMed, EMBASE, PsycINFO (Ovid), CINAHL (EBSCO), and Web of Science databases were searched from January 2012 to January 2022. Relative risks (RRs) with 95% confidence intervals (CIs) were pooled using random-effects meta-analysis. Most studies found that leisure activities had a positive effect on cognitive function in older adults. The pooled RR for the effect of leisure activity on cognitive function was 0.77 (95% CI: 0.72-0.81, p < 0.01). The effects of leisure activities on cognitive function varied by different cognitive statuses in older adults, with RRs ranging from 0.55 (95% CI: 0.37-0.83) to 1.07 (95% CI: 0.95-1.22). Meta-regression analysis showed that compared with studies with percentage of female ≥50%, studies with female participant percentage <50% had significantly increased RR (p = 0.01). Moreover, studies conducted in European and American countries had significantly lower RR (p = 0.019), compared with those conducted in Asian countries. Our study revealed different effects of various types of leisure activities on different cognitive statuses in older adults. To make innovative recommendations for promoting cognitive function in older adults, more detailed observational longitudinal studies investigating the effects of different types of leisure activities on different cognitive statuses in older adults are needed.
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Affiliation(s)
- Xinxin Yang
- School of Nursing, Hebei Medical University, Shijiazhuang, Hebei, China
| | - Xin Yi Xu
- School of Nursing, Hebei Medical University, Shijiazhuang, Hebei, China,Postdoctoral Research Station in Basic Medicine, Hebei Medical University, Shijiazhuang, Hebei, China
| | - Linlin Guo
- School of Nursing, Hebei Medical University, Shijiazhuang, Hebei, China
| | - Yuanyuan Zhang
- School of Nursing, Hebei Medical University, Shijiazhuang, Hebei, China
| | - Shan Shan Wang
- Centre for Gerontological Nursing, School of Nursing, The Hong Kong Polytechnic University, Hong Kong, China,School of Nursing and Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Yan Li
- School of Nursing, Hebei Medical University, Shijiazhuang, Hebei, China,Neuroscience Research Center, Hebei Medical University, Shijiazhuang, Hebei, China,Hebei Key Laboratory of Neurodegenerative Disease Mechanism, Shijiazhuang, Hebei, China,*Correspondence: Yan Li,
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Liu X, Jiang Y, Peng W, Wang M, Chen X, Li M, Ruan Y, Sun S, Yang T, Yang Y, Yan F, Wang F, Wang Y. Association between physical activity and mild cognitive impairment in community-dwelling older adults: Depression as a mediator. Front Aging Neurosci 2022; 14:964886. [PMID: 36158532 PMCID: PMC9493039 DOI: 10.3389/fnagi.2022.964886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 08/22/2022] [Indexed: 11/13/2022] Open
Abstract
Introduction Dementia has become a public health priority and is irreversible. Mild cognitive impairment (MCI), an intermediate state between normal cognition and dementia, is the prime time for early diagnosis and intervention. The activities of daily living of dementia patients are usually insufficient. Therefore, continuing to explore the risk factors of MCI, especially the influence of physical activity on MCI and its mechanism can enrich the relevant research fields in China. Materials and methods For this cross-sectional study, 2,518 adults aged 60 years or older in Xinzhuang, Minhang District, Shanghai were recruited between July 2019 and April 2019, using a multistage, cluster-sampling method. A binary unconditional logistic regression model was used with MCI status as the dependent variable. Different types of physical activity were separately included in the multifactor model to test their correlations. Sensitivity analysis was performed using BADL as a stratification factor. The mediating effect of depression between physical activity and MCI was examined using the Bootstrap method. Results This research includes 271 (10.8%) MCI. Old age (odds ratio 2.967 [95%CI 2.063∼4.269]), having diabetes (1.816 [1.302∼2.534]), and depression (3.012 [2.209∼4.108]) were possible risk factors for MCI. High education level (0.722 [0.523∼0.999]), medium level of physical activity (0.459 [0.326∼0.645]), and high level of physical activity (0.396 [0.270∼0.580]) were possible protective factors. Medium (0.548 [0.396∼0.757]) and high levels (0.557 [0.366∼0.846]) of physical exercise and medium (0.433 [0.318∼0.590]) and high levels (0.487 [0.296∼0.801]) of household chores are possible protective factors of MCI and their significance remained in the mutually adjusted model. Sensitivity analysis showed that physical activity and household chores were possible protective factors in all strata (P < 0.05). Physical exercise and work-related activities showed a protective effect in fully independent older adults, but the effect disappeared in those who cannot be fully independent. Depression played a partially mediating role with an indirect effect of 6.67%. Discussion Overall, our results highlight that physical activity is a possible protective factor for MCI. Physical exercise and household chores have strong protective effects and future interventions could be targeted from this perspective. Depression plays a partially mediating role and more attention should be paid to the mental health of older adults.
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Affiliation(s)
- Xinya Liu
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Health Technology Assessment, National Health and Family Planning Commission of the People’s Republic of China, Fudan University, Shanghai, China
| | - Yihua Jiang
- Minhang District Mental Health Center of Shanghai, Fudan University, Shanghai, China
| | - Wenjia Peng
- School of Public Health, Fudan University, Shanghai, China
| | - Meng Wang
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Health Technology Assessment, National Health and Family Planning Commission of the People’s Republic of China, Fudan University, Shanghai, China
| | - Xiaoli Chen
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Health Technology Assessment, National Health and Family Planning Commission of the People’s Republic of China, Fudan University, Shanghai, China
| | - Mengying Li
- Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Ye Ruan
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Shuangyuan Sun
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Tingting Yang
- Shanghai Center for Clinical Laboratory, Shanghai, China
| | - Yinghua Yang
- Shanghai Center for Clinical Laboratory, Shanghai, China
| | - Fei Yan
- School of Public Health, Fudan University, Shanghai, China
| | - Feng Wang
- Minhang District Mental Health Center of Shanghai, Fudan University, Shanghai, China
- *Correspondence: Feng Wang,
| | - Ying Wang
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Health Technology Assessment, National Health and Family Planning Commission of the People’s Republic of China, Fudan University, Shanghai, China
- Ying Wang,
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