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Liu D, Pan Y, Wang J, Shen S, Zhao X. Relationship between different physical activity parameters and cognitive impairment in middle-aged and older adults: insights from a 4-year longitudinal study. BMC Psychol 2025; 13:274. [PMID: 40108704 PMCID: PMC11921536 DOI: 10.1186/s40359-025-02586-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2024] [Accepted: 03/06/2025] [Indexed: 03/22/2025] Open
Abstract
BACKGROUND Physical activity (PA) is crucial for the prevention and management of chronic diseases and may be associated with cognitive impairment. This study investigated the longitudinal relationship between PA from different parameters (e.g., frequency, duration, intensity, and volume) and the incidence of cognitive impairment in middle-aged and older adults. METHODS Data were derived from the China Health and Retirement Longitudinal Study (2011-2015). A total of 891 adults aged 45 and older were included in this study. Cognitive function was assessed using the Telephone Interview for Cognitive Status criteria, focused on episodic memory and executive function. We categorized participants into normal cognition and cognitive impairment groups. Self-reported PA information including frequency, duration, intensity, and volume was collected through a representative survey. Poisson regression analysis was employed to explore the relationship between PA parameters and the incidence of cognitive impairment over four years. RESULTS Engaging in moderate or light PA (MPA or LPA) at least three days per week, and vigorous PA (VPA) one to two days per week, was associated with a reduced incidence of cognitive impairment. Additionally, spending 30-119 min per day or 150 min per week or more on any PA intensity was linked to lower cognitive impairment prevalence. Sensitivity analysis, excluding individuals with neurological, mental, or memory impairments, confirmed these findings. CONCLUSIONS The findings highlight that the frequency, duration, and volume of VPA, MPA, or LPA are linked to the incidence of cognitive impairment. Regular PA may reduce the risk of cognitive impairment in middle-aged and older adults.
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Affiliation(s)
- Dongxue Liu
- Faculty of Sports Science, Ningbo University, No. 818 Fenghua Road, Jiangbei District, Ningbo, Zhejiang, 315211, China
| | - Yihan Pan
- Faculty of Sports Science, Ningbo University, No. 818 Fenghua Road, Jiangbei District, Ningbo, Zhejiang, 315211, China
| | - Jin Wang
- Faculty of Sports Science, Ningbo University, No. 818 Fenghua Road, Jiangbei District, Ningbo, Zhejiang, 315211, China
| | - Shaoshuai Shen
- School of Education and Welfare, Aichi Prefectural University, Nagakute, Aichi, 480-1198, Japan
| | - Xiaoguang Zhao
- Faculty of Sports Science, Ningbo University, No. 818 Fenghua Road, Jiangbei District, Ningbo, Zhejiang, 315211, China.
- Research Academy of Grand Health, Ningbo University, Ningbo, Zhejiang, 315211, China.
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Wang X, Hu P, Ai Y, Zhou S, Li Y, Zhou P, Chen G, Wang Y, Hu H. Dual group-based trajectories of physical activity and cognitive function in aged over 55: a nationally representative cohort study. Front Public Health 2024; 12:1450167. [PMID: 39534743 PMCID: PMC11554534 DOI: 10.3389/fpubh.2024.1450167] [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: 06/17/2024] [Accepted: 10/18/2024] [Indexed: 11/16/2024] Open
Abstract
Background As individuals age, they commonly experience reduced physical activity and cognitive decline. While evidence, there is limited trajectory research on their concurrent progression and interrelation in individuals over 55 years old. Methods The data was collected from 5,765 individuals aged over 55 years who participated in the China Health and Retirement Longitudinal Study (CHARLS) between 2011 and 2020. Physical activity was measured by IPAQ, cognitive function by episodic memory, and mental intactness score. Separate sets of group-based trajectory models were fitted to identify physical activity trajectories and cognitive function trajectories. Multivariate logistic regression was used to estimate the association between baseline characteristics and each set of trajectories. Group-based dual trajectory modeling (GBDTM) was applied to quantify these associations. Results GBDTM identified three distinct trajectory groups for physical activity and cognitive outcomes. The physical activity trajectories were classified as "Persistently low physical activity" (74.2%), "Decreasing physical activity" (13.7%), and "Rising physical activity" (12.1%). Similarly, cognitive function trajectories were categorized as "Persistently low cognitive function" (22.2%), "Persistently moderate cognitive function" (37.9%), and "Persistently high cognitive function" (39.9%). Notably, 15.6% of participants followed the trajectories of "Persistently low physical activity" and "Persistently low cognitive function." The presence of a severe decline in physical activity was associated with an increased likelihood of poor cognitive function and vice versa. Age, sex, education, residential status, BMI, and visual impairment were identified as significant predictors for physical activity and cognitive decline. Conclusion This study found that the GBDTM can determine the consistent trajectories of physical activity and cognitive function trajectories that persistently decline in individuals over 55 years. Analyses of predictive factors can be instrumental in promoting physical activity and delaying cognitive decline.
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Affiliation(s)
- Xiaotong Wang
- College of Nursing, Hubei University of Chinese Medicine, Wuhan, China
| | - Pei Hu
- Affiliated Hospital of Hubei University of Chinese Medicine, Wuhan, China
| | - Yating Ai
- College of Nursing, Hubei University of Chinese Medicine, Wuhan, China
| | - Shi Zhou
- College of Nursing, Hubei University of Chinese Medicine, Wuhan, China
| | - Yucan Li
- College of Nursing, Hubei University of Chinese Medicine, Wuhan, China
| | - Pengjun Zhou
- College of Nursing, Hubei University of Chinese Medicine, Wuhan, China
| | - Gao Chen
- College of Nursing, Hubei University of Chinese Medicine, Wuhan, China
| | - Yuncui Wang
- College of Nursing, Hubei University of Chinese Medicine, Wuhan, China
| | - Hui Hu
- College of Nursing, Hubei University of Chinese Medicine, Wuhan, China
- Engineering Research Center of TCM Protection Technology and New Product Development for the Elderly Brain Health, Ministry of Education, Wuhan, China
- Hubei Shizhen Laboratory, Wuhan, China
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Zhao X, Liu D, Zhang H, Shen S, Zhang N, Pan Y, Fu C, Wang W, Ren H, Pan X. Associations of physical activity intensity, frequency, duration, and volume with the incidence of sarcopenia in middle-aged and older adults: a 4-year longitudinal study in China. BMC Geriatr 2024; 24:258. [PMID: 38493082 PMCID: PMC10944603 DOI: 10.1186/s12877-024-04873-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 03/04/2024] [Indexed: 03/18/2024] Open
Abstract
BACKGROUND Physical activity (PA) plays an important role in the process of several chronic diseases. It may be also associated with the incidence of sarcopenia. This study aimed to determine the association of PA from different components including frequency, duration, intensity, and volume with the incidence of sarcopenia in middle-aged and older adults. METHODS This study used data from the China Health and Retirement Longitudinal Study in 2011 and 2015. A total of 3,760 individuals aged ≥ 40 years were involved in this study. Sarcopenia was diagnosed using muscle mass, strength and physical performance according to the Asian Working Group for Sarcopenia. PA information including frequency, duration, intensity, and volume was obtained by a self-reported questionnaire. Logistic regression analysis was employed to examine the association between PA and the incidence of sarcopenia at 4-year follow-up. RESULTS The incidence of sarcopenia was 5.9% during the 4-year follow-up. Compared to sedentary individuals, those taking 1-2 days or more per week, or a minimum of 10 min each time on vigorous-intensity PA (VPA) had a lower incidence of sarcopenia. Adults spending 3 days or more each week, a minimum of 30 min each time, or 150 min or more per week on moderate-intensity PA (MPA) had a lower presence of sarcopenia than sedentary adults. Adults taking 3 days or more per week, at least 30 min each time, or 150 min or more each week on light-intensity PA (LPA) tended to have a lower incidence of sarcopenia than sedentary individuals. Sensitivity analyses confirmed the robustness of the findings after removing persons with hypertension, dyslipidemia, or diabetes. CONCLUSIONS These findings suggest that the frequency, duration, and volume of VPA or MPA are negatively associated with the presence of sarcopenia. Participation in LPA tends to have a lower incidence of sarcopenia in middle-aged and older adults.
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Affiliation(s)
- Xiaoguang Zhao
- Research Academy of Grand Health, Ningbo University, Ningbo, Zhejiang, 315211, China.
- Faculty of Sports Science, Ningbo University, Ningbo, Zhejiang, 315211, China.
| | - Dongxue Liu
- Faculty of Sports Science, Ningbo University, Ningbo, Zhejiang, 315211, China
| | - Hongjun Zhang
- School of Physical Education, Liaoning Finance and Trade College, Xingcheng, Liaoning, 125100, China
| | - Shaoshuai Shen
- School of Education and Welfare, Aichi Prefectural University, Nagakute, Aichi, 480-1198, Japan.
| | - Naipeng Zhang
- Faculty of Sports Science, Ningbo University, Ningbo, Zhejiang, 315211, China
| | - Yihan Pan
- Faculty of Sports Science, Ningbo University, Ningbo, Zhejiang, 315211, China
| | - Chao Fu
- Faculty of Sports Science, Ningbo University, Ningbo, Zhejiang, 315211, China
| | - Wenjiao Wang
- Faculty of Sports Science, Ningbo University, Ningbo, Zhejiang, 315211, China
| | - Hang Ren
- Faculty of Sports Science, Ningbo University, Ningbo, Zhejiang, 315211, China
| | - Xiaopeng Pan
- Faculty of Sports Science, Ningbo University, Ningbo, Zhejiang, 315211, China
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Pengpid S, Peltzer K. Rural-urban health differences among aging adults in India. Heliyon 2024; 10:e23397. [PMID: 38173538 PMCID: PMC10761573 DOI: 10.1016/j.heliyon.2023.e23397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 10/08/2023] [Accepted: 12/03/2023] [Indexed: 01/05/2024] Open
Abstract
Background The aim of this study was to determine the rural-urban health differences among aging adults in India. Methods The national cross-sectional data of 67,489 individuals (≥45 years) in 2017-2018 from 35 states and union territories of India (excluding Sikkim) in 2017-2018 were analysed. Various sociodemographic data, well-being indicators, lifestyle factors and physical conditions were assessed by face-to-face interviews and physical measurement. Univariable and multivariable logistic regression was utilized to assess the predictors between residence status (rural dweller, urban migrant, and urban dweller) and various health indicator outcomes. Results Majority (70.4 %) of the participants lived in rural areas, 10.3 % were urban migrants and 19.3 % urban dwellers. In the multivariable logistic regression analysis, urban migrants and urban dwellers had a higher self-rated health status, cognitive functioning, physical inactivity, overweight or obesity and abdominal obesity than rural dwellers, while urban migrants and/or urban dwellers had lower functional disability, insomnia symptoms, current smokeless tobacco use, current smoking, heavy episodic drinking and underweight than rural dwellers. Furthermore, urban migrants and/or urban dwellers had higher odds of diabetes, hypertension, heart disease, cancer, high cholesterol than rural dwellers, while urban migrants and/or urban dwellers had lower odds of persistent headaches, major injury, recurrent fall, physical pain, periodontal disease, vision impairment, and gastrointestinal problems than rural dwellers. Conclusion Among 30 health indicators assessed, 16 had an urban migrant and/or urban dweller advantage, 8 had urban migrant and/or urban dweller penalty, and 6 did not differ between rural-urban groups. Public health promotion and health care should address differing health care needs of rural and urban middle-aged and older adults.
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Affiliation(s)
- Supa Pengpid
- Department of Health Education and Behavioral Sciences, Faculty of Public Health, Mahidol University, Bangkok, Thailand
- Department of Public Health, Sefako Makgatho Health Sciences University, Pretoria, South Africa
- Department of Healthcare Administration, College of Medical and Health Science, Asia University, Taichung, Taiwan
| | - Karl Peltzer
- Department of Health Education and Behavioral Sciences, Faculty of Public Health, Mahidol University, Bangkok, Thailand
- Department of Psychology, University of the Free State, Bloemfontein, South Africa
- Department of Psychology, College of Medical and Health Science, Asia University, Taichung, Taiwan
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Guo Q, Zhao Y, Zhao J, Bian M, Qian L, Xue T, Zhang JJ, Duan X. Physical activity attenuated the associations between ambient air pollutants and metabolic syndrome (MetS): A nationwide study across 28 provinces. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 315:120348. [PMID: 36202264 DOI: 10.1016/j.envpol.2022.120348] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 09/14/2022] [Accepted: 09/30/2022] [Indexed: 06/16/2023]
Abstract
The independent associations of air pollution and Physical activity (PA) with metabolic syndrome (MetS) were inconsistent, while the joint associations between PA and air pollution with MetS were still unknown. We aimed to (1) further confirm the independent associations of PA and air pollution; (2) examine whether PA would attenuate the positive associations of air pollutants with MetS. We included 13,418 adults above 45 years old in this study. We defined MetS according to the Joint Interim Societies. The concentration of air pollutants (including fine particulate matter (PM2.5), inhalable particles (PM10), ozone (O3), nitrogen dioxide (NO2), sulfur dioxide (SO2), and carbon monoxide (CO)) were estimated by ground-based measurements and satellite remote sensing products. We assessed the level of PA by metabolic equivalent (MET)-hour/week by summing the MET of all activities. We applied logistic regression models with sampling weight to explore the independent and joint associations of PA and air pollutants on MetS. Interaction plots were conducted to exhibit estimates of air pollutants on MetS as a function of PA. We found that all air pollutants were positively associated with the odds of MetS, while PA showed beneficial associations with MetS. The associations of air pollution on MetS decreased accompanied the increase of PA, while the detrimental effects between air pollutants and MetS did not be reversed by PA. In conclusion, PA may attenuate the associations of air pollutants with MetS, although in polluted areas, suggesting that keeping PA might be an effective way to reduce the adverse effects of air pollution with MetS.
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Affiliation(s)
- Qian Guo
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China
| | - Yuchen Zhao
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China
| | - Jiahao Zhao
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China
| | - Mengyao Bian
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China
| | - Liqianxin Qian
- School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing, 100083, China
| | - Tao Xue
- Institute of Reproductive and Child Health/Ministry of Health Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100083, China
| | - Junfeng Jim Zhang
- Nicholas School of the Environment and Global Health Institute, Duke University, Durham, NC, USA; Duke Kunshan University, Kunshan, Jiangsu Province, China
| | - Xiaoli Duan
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China.
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