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Association between walking and square dancing-oriented leisure-time physical activity and cognitive function among middle-aged and elderly people in Southwest China

BMC Geriatrics volume 23, Article number: 28 (2023) Cite this article

Abstract

Background

Southwest China is facing a serious aging problem across the country, but the status of cognitive function in middle-aged and elderly people in this region is superior to the national average. This study intends to reveal the leisure-time physical activity (LTPA) pattern in this region and explore whether this pattern is beneficial for cognitive function.

Methods

The data came from the 2019–2021 baseline survey on cognitive function of a natural population cohort conducted by West China Hospital of Sichuan University. A structured questionnaire was used to investigate the LTPA status of the participants, and the Mini-Mental State Examination was used to evaluate their cognitive function. Then, we used multiple linear regression to analyze the association between LTPA and cognitive level, and further subgroup analysis was carried out according to sex, age and waist-to-hip ratio.

Results

A total of 2697 participants were enrolled, with an average age of 66.19 ± 6.68 years. The average cognitive function score was 27.23 ± 2.72, of which 8.60% indicated mild cognitive impairment. Their median LTPA level was 24.50 MET-hours per week, of which 70.37% reached the activity level recommended by WHO, with the main types being walking (1340 cases, 49.68%), square dancing (270 cases, 10.01%), or walking + square dancing (172 cases, 6.38%). Multiple linear regression showed that cognitive function increased with the amount of LTPA from 11.25 MET-hours/week to 36.40 MET-hours/week (β 0.09 for 11.25 ~ 24.50 MET-hours/week, β 0.38 for 24.50 ~ 36.40 MET-hours/week) but stabilized at more (β 0.39 for ≥36.40 MET-hours/week). The positive association persisted even for those who only walked (β 0.37 for 24.50 ~ 36.40 MET-hours/week, P = 0.008).

Conclusions

Middle-aged and elderly people in Southwest China hold a relatively high level of LTPA status, and walking and square dancing-oriented LTPA are positively correlated with cognitive function.

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Background

The world is facing the great challenge of aging. By 2050, there will be 2.1 billion people aged 60 or older worldwide, outnumbering adolescents and young people aged 15–24 [1]. Cognitive disorders, including dementia and mild cognitive impairment (MCI), are one of the health problems associated with aging and have been regarded as a global health priority for the elderly by the WHO [2]. According to the World Alzheimer Report 2021, more than 55 million people worldwide suffer from early/late-onset dementia, and this number will reach 78 million by the year 2030 [3]. In China, dementia and MCI are also highly prevalent, with an approximately 6.0% prevalence for dementia and 15.5% for MCI among people aged over 60 years, representing 15.07 million and 38.77 million people, respectively [4]. However, the prevalence of dementia seems to vary geographically. In the southwestern region, including Sichuan Province, the prevalence of dementia was approximately 4.74% in adults older than 60 years, which is lower than the national average [4].

It was suggested that the regional differences in cognitive dysfunction may be due to distinctions in individual behaviors, life experiences and health conditions [5]. The Lancet Commission estimated that 12 modifiable dementia risk factors, including unhealthy individual behavior, such as insufficient physical activity, could account for approximately 40% of the global risk of dementia [6]. And it was strongly recommended by the WHO that older adults should increase their level of physical activity to reduce the risk of cognitive decline [7], and at least 150 min/week of moderate intensity, 75 min/week of vigorous intensity leisure-time physical activity (LTPA), or an equivalent combination of the two were suggested for potential health benefits [8].

There are many types of LTPA that middle-aged and elderly people prefer, such as aerobic exercise (walking, jogging, dancing, etc.), and balance training exercises (Tai Chi and yoga, etc.) [9]. However, due to regional and cultural differences, LTPA patterns of people in different regions may not be alike. According to the 2018 Sports Preference Map of China’s Provinces, adults in northern regions, such as Beijing and Ningxia Provinces, prefer playing basketball and yoga, while adults in eastern regions, such as Jiangsu and Zhejiang Provinces, prefer running [10]. To date, no relevant studies have reported in detail the real-world LTPA patterns of middle-aged and elderly people over 45 years old in Southwest China.

Sichuan Province of Southwest China has entered a stage of deep aging. According to the “Thirteenth Five-Year Plan” Aging Development Report of the local government [11], Sichuan Province had a population of 18.164 million people aged 60 and above in 2020, ranking third in the country. Considering that the region had a serious aging problem but held a relatively superior status of cognitive function than the national average, we wanted to know the LTPA pattern in middle-aged and elderly people in this region and whether this pattern can improve cognitive function as expected by the WHO.

Therefore, based on a natural population cohort established by West China Hospital, this study is the first to explore the current status of LTPA in middle-aged and elderly people in Southwest China, aiming to comprehensively reveal the characteristics of LTPA in people over 45 years old in this region and its association with cognitive function from the aspects of LTPA type, frequency and amounts, so as to provide a reference for cognitive-related PA intervention among the elderly population.

Methods

Study design and data sources

This cross-sectional data stemmed from a Southwest China cohort study conducted by West China Hospital, Sichuan University. The natural population cohort study of West China Hospital used cluster sampling, which considered economic development status and geographical region, in the cities and counties where the medical alliance hospital is located to enroll residents aged 20 years or older in Sichuan Province. Baseline health information was collected through a series of questionnaires, physical examinations, biological sample collection and clinical examinations, and then 10 years of follow-up would be conducted, to establish a multidimensional, dynamic and quantitative health big data platform for health prevention in Southwest China.

To date, the cohort has completed the collection of baseline information in the cities of Chengdu, Mianzhu, and Ganzi from 2019 to 2021. Our cross-sectional study included baseline participants who were 45 years old or older and had completed the assessment for cognitive function. The study was approved by the ethical community of West China Hospital, Sichuan University, and all participants signed informed consent forms.

Measurement of leisure-time physical activity

Self-reported LTPA was measured using a standard structured questionnaire, with questions including regularly participating in LTPA during the past 6 months or not, type of LTPA (walking, square dancing [12], ball games, etc.), frequency of LTPA, and amount of time spent on LTPA. We used metabolic equivalents (METs) to assess the LTPA level of each activity according to the 2011 Compendium of physical activities [13] (supplementary Table 1), and the product of METs and duration (hours) yields the amount of physical activity. For the total amount of LTPA, we summed the MET-hours per week across all activity types engaged in. For the total duration of LTPA, we summed the hours per week across all activity types.

Light, moderate, and vigorous-intensity activities correspond to 1.1 ~ 2.9 METs, 3.0 ~ 5.9 METs, and ≥ 6 METs, respectively [14]. According to the WHO recommendation, physical activity was defined as at least 150 min/week of moderate-intensity LTPA, 75 min/week of vigorous-intensity LTPA, or an equivalent combination of the two. For convenience of calculation, we assigned moderate intensity LTPA to be 4.5 METs; thus, the recommendation level was at least 11.25 MET-hours/week.

Assessment of cognitive function

The Mini-Mental State Examination (MMSE) [15, 16] was used to evaluate the cognitive function of participants, which comprised 5 domains, including orientation to time and place (10 points), registration (3 points), attention and calculation (5 points), recall (3 points), and language (9 points). The total score ranged from 0 to 30, and a higher score indicated better cognitive function. An MMSE score < 24 was defined as MCI [17].

Measurement of covariates

Covariates including age, marital status, gender, education level, smoking status, drinking status, diet, and status of diabetes, depression, anxiety, sleep quality, stroke, cancer, and traumatic brain injuries were collected by self-report questionnaires. Fasting blood was collected for routine biochemical detection to evaluate health status, such as diabetes. The status of hypertension, body mass index (BMI) and waist-to-hip ratio (WHR) were assessed by objective measurements. We used the Patient Health Questionnaire-9 (PHQ-9) to evaluate depression status [18] and the 7-item Generalized Anxiety Disorder scale (GAD-7) to measure anxiety status [19], with each of the total scores ≥5 as the cutoff point for the diagnosis of minor depression or anxiety [20]. When measuring sleep quality, the Pittsburgh Sleep Quality Index (PSQI) was used [21], and participants were graded into three groups according to their PSQI scores: good (0–5), not bad (6–10), and general/poor (11–21). BMI was defined as weight in kilograms divided by height squared in meters, and BMI ≥ 24 was regarded as overweight [22]. WHR was defined as waist circumference divided by hip circumference, and WHR ≥ 0.9 (for men) and ≥ 0.85 (for women) were regarded as central obesity [23].

Statistical analysis

Descriptive statistics were used to present the characteristics of the participants. Categorical variables were presented as frequencies (composition ratio). Continuous variables were presented as the mean and standard deviation (SD). The correlation between LTPA and cognitive function was examined using linear regression with a robust standard error model. First, we used a univariate model to select variables, with p < 0.1 as a selection criterion. Then, we performed multiple analyses to show the relationship between LTPA and cognitive function after adjusting for potentially confounding variables. Further subgroup analyses were conducted according to sex, age and WHR.

All the analyses in this study were carried out by R 4.1.2 software, and p < 0.05 was considered statistically significant.

Results

Characteristics of participants

Of the 2885 participants enrolled in this study, 188 (6.52%) were excluded due to missing data (Fig. 1). Finally, a total of 2697 subjects were included in the analyses (mean age: 66.19 years; 61.48% female). The mean MMSE score was 27.23 ± 2.72, with a prevalence of MCI of 8.60% (232 participants). For LTPA status, approximately 76.79% of the participants took LTPA, and the main types of LTPA were walking (1340 subjects, 49.68%), square dancing (270 subjects, 10.01%), and walking + square dancing (172 subjects, 6.38%). Every week, they spent a median of 7.0 hours doing LTPA, resulting in a median amount of 24.50 MET-hours, of which 70.37% reached the activity level recommended by the WHO. Other characteristics were shown in Table 1. Those who suffered MCI seemed to perform less LTPA either in terms of total amount or duration (Supplementary Fig. 1).

Fig. 1
figure 1

Study flow chart

Full size image
Table 1 Characteristics of participants
Full size table

Association between LTPA and cognitive function

Linear regressions showed significant positive associations between LTPA and cognitive functions among middle-aged and older people. Compared with people who did not reach the WHO recommended activity level, middle-aged and elderly people who regularly participated in LTPA had better cognitive function (P = 0.001). Cognitive function increased with the amount of LTPA from 11.25 MET-hours/week to 36.40 MET-hours/week (β 0.09 for 11.25 ~ 24.50 MET-hours/week, β 0.38 for 24.50 ~ 36.40 MET-hours/week) but plateaued with higher amounts (β 0.39 for ≥36.40 MET-hours/week). For the duration of LTPA, a similar result was presented. Cognitive function increased with the duration of LTPA from 2.5 to 10.5 hours/week (β 0.11 for 2.5 ~ 7.0 hours/week, β 0.37 for 7.0 ~ 10.5 hours/week) and then stabilized at a higher duration (β 0.39 for ≥10.5 hours/week). Even for those who only walked, a positive association between LTPA and cognitive function still existed, and at least 7.0 ~ 10.5 h/week or 24.50~36.40 MET-hours/week of LTPA is recommended (table 2). For specific dimensions of cognitive function, the impact of LTPA was mainly reflected in orientation and language dimensions in terms of both total amount and duration of activity (supplementary Table 2).

Table 2 The relationship between LTPA and cognitive function among middle-aged and older people in Southwest China
Full size table

As the two most popular LTPA for middle-aged and elderly people in Southwest China, those who prefer walking seemed to spend a longer leisure time than square dancing, with an average duration of 7.84 and 7.20 hours per week, respectively (Fig. 2a.). While the positive association with cognitive function appeared to be stronger in those who preferred square dancing than walking (β 0.27 for walking and β 0.58 for square dancing, Fig. 2b.).

Fig. 2
figure 2

Characteristics of walking and square dancing of people aged 45 years or older in Southwest China and their impact on cognitive function. (a) Duration of LTPA (h/week) and score of MMSE for people who prefer walking or square dancing. (b). Association between LTPA type (walking or square dancing) and cognitive function

Multiple regression in Fig. 2b. was adjusted for age, WHR, sleep quality, education level, and marital status

Full size image

Subgroup analysis

Although there was no statistically significant difference in the correlation of LTPA and cognition between each subgroup when we stratified by gender, age or WHR (P > 0.05), the association appeared to be stronger in people older than 65 years of age and with central obesity. In these two groups, the results also showed that with the increase in the LTPA amount, the correlation gradually increased and then tended to be stable or even slightly decreased (Fig. 3).

Fig. 3
figure 3

Subgroup analysis according to age, WHR and sex

All models were adjusted for age, WHR, sleep quality, education level, and marital status

Full size image

Discussion

Our study is the first to evaluate the real-world LTPA pattern, cognitive function and their association among middle-aged and elderly people in Southwest China. We found that the MCI prevalence among people over 45 years old in this region is much lower than the domestic average, which may benefit from the high participation of these people in walking and square dancing-oriented LTPA.

This study showed that approximately 70.37% of middle-aged and elderly individuals in Southwest China met the activity standards recommended by the WHO, which was higher than the national average of 65.94% [24]. While the current prevalence rate of MCI in this region is 8.60%, which is lower than the average level of 15.5% in China [4]. Further analysis found that LTPA levels were positively correlated with cognitive function in these people. Compared with these adults who did not meet the recommended activity level, cognitive function increased with increasing levels of LTPA, but their association did not enhance with higher LTPA status (≥36.40 met-hours/week or ≥ 10.5 h). A pooled analysis of 10 cohort studies found a similar phenomenon; compared with older people who do not exercise regularly, performing 3.1 to 6.0 hours of physical activity or expending 9.1 to 18.0/MET-hours of energy per week may achieve the best protective effect on cognitive function, and a higher LTPA level was not equal to greater benefits [25]. One hypothesis is that the ability of older individuals to engage in physical activity gradually decreases due to age-related declines in the function of the cardiopulmonary and muscular systems. Additionally, the higher the dose of physical activity, the greater the risk of injury. Therefore, when recommending the optimal exercise dose for middle-aged and elderly people, the pros and cons should be weighed. More exercise may not always be better.

Moreover, we found that even for walking only, a positive correlation between LTPA and cognitive function was observed. One study from the CHARLS cohort showed that moderate-intensity physical activity (including brisk walking) was most beneficial to the successful aging of elderly individuals [26]. A meta-analysis suggested that the minimal clinically important amount of walking to improve cognitive function for the elderly was 13.27–14.18 met-hours/week [27]. Although compared with other forms of exercise, such as aerobic exercise and gyming, walking has a slightly weaker positive effect on neurological health [28], it is relatively safe and is currently the most popular exercise for the elderly in China [29]. Our results showed that square dancing was another popular exercise form among middle-aged and elderly people. This dance form is usually conducted in large public spaces, and consists of music, dance leader(s), and a group of dancers, which integrating Chinese style dancing and music with similar rhythms [12]. Most of our surveys began after the COVID-19 pandemic, so the number of people gathering for square dancing may have decreased. However, our preliminary findings suggested that square dancing, which was beneficial for the musculoskeletal system [30] and incorporated the pleasurable experience of social communication [31] and musical rhythm [32], may provide greater cognitive protection with less time spent exercising and thus could be regarded as a recommended method of LTPA for elderly individuals.

This study showed that the effects of LTPA on cognitive function were mainly reflected in orientation and language dimensions, both of which belong to executive function, while memory and recall ability belonged to memory function. Previous studies demonstrated that physical activity was associated with reduced brain atrophy [33], which may delay the decline in executive function and memory function in elderly individuals. However, the difference between the effect of exercise on executive and memory function is still controversial. A meta-analysis found that exercise had a stronger impact on memory function than executive function [34]. While the study of Baker et al. showed that the cognitive enhancement effect of aerobic exercise was limited to the executive control process, excluding declarative memory [35]. Differences in results may be due to the difference in study design, population selection, measurement methods of exposure and outcome, etc., which need further study.

Our further subgroup analysis found that the association between LTPA and cognitive function seemed to be more pronounced in those with central obesity and older adults. Similarly, a previous study in Shanghai, China, suggested that waist circumference control and appropriate physical activity can help improve the cognitive level of the elderly [36]. Since moderate physical activity is also beneficial for waist circumference control, the effect of exercise on cognitive function may be more pronounced in people with central obesity. In addition, the cognitive function of the elderly was generally worse than that of the middle-aged, and there was more room for improvement, so the positive effect of physical activity may be more obvious.

There are several limitations in this study. First, given the cross-sectional design, our study had a limited ability to demonstrate a causal association between LTPA and cognitive function. However, we investigated the LTPA status of the subjects during the past 6 months, which helped to avoid the risk of causal inversion to a certain extent. In addition, although only three cities in Sichuan Province were investigated, we took into account areas with different income levels to maximize the representativeness of the participants under limited resources. Despite the above limitations, this study used a relatively large sample size and demonstrated the positive impact of the LTPA mode based on walking and square dancing on cognitive function. Our results will be helpful for the formulation of behavioral intervention programs for dementia. In the future, we intend to improve the survey of sedentary conditions, commuting-related activities, etc., to more accurately describe the amount of PA of the population and perform a follow-up study in this region.

Conclusions

The LTPA level of middle-aged and elderly people in Southwest China is generally high, with walking and square dancing being the major leisure physical activities. LTPA has a positive impact on cognitive function, with the effect mainly reflected in the language and orientation dimensions. At least 24.50 MET-hours/week of LTPA is recommended, while aimed at cognition improvement for middle-aged and elderly people.

Availability of data and materials

The datasets of the current study are available from the corresponding author upon reasonable request.

Abbreviations

LTPA:

leisure-time physical activity

BMI:

Body mass index

WHR:

waist-to-hip ratio

MCI:

mild cognitive impairment

METs:

metabolic equivalents

MMSE:

Mini-Mental State Examination.

References

  1. Aging and Health [https://www.who.int/zh/news-room/fact-sheets/detail/ageing-and-health].

  2. Wortmann M. Dementia: a global health priority - highlights from an ADI and World Health Organization report. Alzheimers Res Ther. 2012;4(5):40.

    Article  Google Scholar 

  3. World Alzheimer Report 2021 [https://www.alzint.org/resource/world-alzheimer-report-2021/].

  4. Jia L, Du Y, Chu L, Zhang Z, Li F, Lyu D, et al. Prevalence, risk factors, and management of dementia and mild cognitive impairment in adults aged 60 years or older in China: a cross-sectional study. Lancet Public Health. 2020;5(12):e661–71.

    Article  Google Scholar 

  5. Wu YT, Ali GC, Guerchet M, Prina AM, Chan KY, Prince M, et al. Prevalence of dementia in mainland China, Hong Kong and Taiwan: an updated systematic review and meta-analysis. Int J Epidemiol. 2018;47(3):709–19.

    Article  Google Scholar 

  6. Livingston G, Huntley J, Sommerlad A, Ames D, Ballard C, Banerjee S, et al. Dementia prevention, intervention, and care: 2020 report of the lancet commission. Lancet (London, England). 2020;396(10248):413–46.

    Article  Google Scholar 

  7. Risk reduction of cognitive decline and dementia: WHO guidelines [https://www.who.int/publications/i/item/risk-reduction-of-cognitive-decline-and-dementia].

  8. Bull FC, Al-Ansari SS, Biddle S, Borodulin K, Buman MP, Cardon G, et al. World Health Organization 2020 guidelines on physical activity and sedentary behaviour. Br J Sports Med. 2020;54(24):1451–62.

    Article  Google Scholar 

  9. Izquierdo M, Merchant RA, Morley JE, Anker SD, Aprahamian I, Arai H, et al. International exercise recommendations in older adults (ICFSR): expert consensus guidelines. J Nutr Health Aging. 2021;25(7):824–53.

    Article  CAS  Google Scholar 

  10. [Sports Preference Map of China's Provinces] [http://industry.people.com.cn/n1/2018/0907/c413883-30279846.html].

  11. ["Thirteenth Five-Year Plan" Aging Development Report] [https://www.sc.gov.cn/10462/10464/10465/10574/2021/10/14/27e75eb4841745549abb34041f445d48.shtml].

  12. Xiao J, Hilton A. An investigation of soundscape factors influencing perceptions of square dancing in urban streets: a case study in a county Level City in China. Int J Environ Res Public Health. 2019;16(5):840.

    Article  Google Scholar 

  13. Ainsworth BE, Haskell WL, Herrmann SD, Meckes N, Bassett DR Jr, Tudor-Locke C, et al. 2011 compendium of physical activities: a second update of codes and MET values. Med Sci Sports Exerc. 2011;43(8):1575–81.

    Article  Google Scholar 

  14. 2008 Physical Activity Guidelines for Americans [https://health.gov/sites/default/files/2019-09/paguide.pdf].

  15. Gao MY, Yang M, Kuang WH, Qiu PY. Factors and validity analysis of Mini-mental state examination in Chinese elderly people. Beijing da xue xue bao Yi xue ban = Journal of Peking University Health sciences. 2015;47(3):443–9.

    Google Scholar 

  16. Folstein MF, Folstein SE, McHugh PR. "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12(3):189–98.

    Article  CAS  Google Scholar 

  17. O'Donnell M, Teo K, Gao P, Anderson C, Sleight P, Dans A, et al. Cognitive impairment and risk of cardiovascular events and mortality. Eur Heart J. 2012;33(14):1777–86.

    Article  Google Scholar 

  18. Levis B, Benedetti A, Thombs BD. Accuracy of patient health Questionnaire-9 (PHQ-9) for screening to detect major depression: individual participant data meta-analysis. BMJ (Clinical research ed). 2019;365:l1476.

    Google Scholar 

  19. Spitzer RL, Kroenke K, Williams JB, Löwe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006;166(10):1092–7.

    Article  Google Scholar 

  20. Stocker R, Tran T, Hammarberg K, Nguyen H, Rowe H, Fisher J. Patient health questionnaire 9 (PHQ-9) and general anxiety disorder 7 (GAD-7) data contributed by 13,829 respondents to a national survey about COVID-19 restrictions in Australia. Psychiatry Res. 2021;298:113792.

    Article  CAS  Google Scholar 

  21. Buysse DJ, Reynolds CF 3rd, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh sleep quality index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989;28(2):193–213.

    Article  CAS  Google Scholar 

  22. Chen H, Zhang R, Zheng Q, Yan X, Wu S, Chen Y. Impact of body mass index on long-term blood pressure variability: a cross-sectional study in a cohort of Chinese adults. BMC Public Health. 2018;18(1):1193.

    Article  Google Scholar 

  23. Waist circumference and waist-hip ratio: report of a WHO expert consultation [https://www.who.int/publications/i/item/9789241501491].

  24. Ding L, Liang Y, Tan ECK, Hu Y, Zhang C, Liu Y, et al. Smoking, heavy drinking, physical inactivity, and obesity among middle-aged and older adults in China: cross-sectional findings from the baseline survey of CHARLS 2011-2012. BMC Public Health. 2020;20(1):1062.

    Article  Google Scholar 

  25. Wu W, Ding D, Zhao Q, Xiao Z, Luo J, Ganguli M, et al. Dose-response relationship between late-life physical activity and incident dementia: a pooled analysis of 10 cohort studies of memory in an international consortium. Alzheimers Dement. 2022. https://doi.org/10.1002/alz.12628.

  26. Chen X, Su D, Chen X, Chen Y. What intensity of exercise is most suitable for the elderly in China? A propensity score matching analysis. BMC Public Health. 2021;21(1):1396.

    Article  Google Scholar 

  27. Gallardo-Gómez D, Del Pozo-Cruz J, Noetel M, Álvarez-Barbosa F, Alfonso-Rosa RM, Del Pozo CB. Optimal dose and type of exercise to improve cognitive function in older adults: a systematic review and bayesian model-based network meta-analysis of RCTs. Ageing Res Rev. 2022;76:101591.

    Article  Google Scholar 

  28. Chekroud SR, Gueorguieva R, Zheutlin AB, Paulus M, Krumholz HM, Krystal JH, et al. Association between physical exercise and mental health in 1·2 million individuals in the USA between 2011 and 2015: a cross-sectional study. Lancet Psychiatry. 2018;5(9):739–46.

    Article  Google Scholar 

  29. Yang F, Wu B, Zhang X, Wang F. Trend of sports activities of the aged in China: 14th five-year plan and medium and long-term development forecast. China Sport Science And Technology. 2022;58(1):18–23.

    Google Scholar 

  30. Sun J, Yao C, Wang Z, Wu J, Zhang B, Zhou Z, et al. The beneficial effects of square dance on musculoskeletal system in early postmenopausal Chinese women: a cross-sectional study. BMC Womens Health. 2022;22(1):247.

    Article  Google Scholar 

  31. Cohn-Schwartz E, Levinsky M, Litwin H. Social network type and subsequent cognitive health among older Europeans. Int Psychogeriatr. 2021;33(5):495–504.

    Article  Google Scholar 

  32. Särkämö T. Cognitive, emotional, and neural benefits of musical leisure activities in aging and neurological rehabilitation: a critical review. Annals of physical and rehabilitation medicine. 2018;61(6):414–8.

    Article  Google Scholar 

  33. Colcombe SJ, Erickson KI, Scalf PE, Kim JS, Prakash R, McAuley E, et al. Aerobic exercise training increases brain volume in aging humans. J Gerontol A Biol Sci Med Sci. 2006;61(11):1166–70.

    Article  Google Scholar 

  34. Hoffmann CM, Petrov ME, Lee RE. Aerobic physical activity to improve memory and executive function in sedentary adults without cognitive impairment: a systematic review and meta-analysis. Prev Med Rep. 2021;23:101496.

    Article  Google Scholar 

  35. Baker LD, Frank LL, Foster-Schubert K, Green PS, Wilkinson CW, McTiernan A, et al. Aerobic exercise improves cognition for older adults with glucose intolerance, a risk factor for Alzheimer's disease. Journal of Alzheimer's disease : JAD. 2010;22(2):569–79.

    Article  CAS  Google Scholar 

  36. Huang ZZ, Zhang YC, Zheng Y, Guo YF, Ruan Y, Sun SY, et al. Associations of obesity and physical activity with cognition in people aged 50 and above in Shanghai. Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi. 2018;39(3):273–9.

    CAS  Google Scholar 

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Acknowledgments

We would like to thank all participants of this study.

Funding

This work was supported by the China National Key Research and Development Program (2020AAA0105005) and the National Natural Science Foundation of China (82201752). The funder had no role in the study design, data collection, analysis, data interpretation or manuscript preparation.

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Authors and Affiliations

  1. Department of Clinical Research and Management, Center of Biostatistics, Design, Measurement and Evaluation (CBDME), West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, People’s Republic of China

    Xu Li & Lin Li

  2. Department of Neurology, Joint Research Institute of Altitude Health, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, People’s Republic of China

    Anjiao Peng & Lei Chen

  3. Med-X Center for Informatics, Sichuan University, Chengdu, Sichuan, 610041, People’s Republic of China

    Lei Chen

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Contributions

XL contributed to the conception, design, analysis, and manuscript preparation. AJP critically revised and reviewed the manuscript. LL contributed to the data analysis. LC contributed to the conception and revised the final draft of the manuscript. The author(s) read and approved the final manuscript.

Corresponding author

Correspondence to Lei Chen.

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Ethics approval and consent to participate

This study was approved by the ethical community of West China Hospital, Sichuan University. We confirmed that all methods were performed in accordance with relevant guidelines and regulations to protect human subjects. All participants read and signed written informed consent forms.

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Not applicable.

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The authors declare no competing interests.

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Supplementary Information

Additional file 1: Supplementary Table 1.

Physical activity types, codes and MET values. Supplementary Table 2. The correlation between LTPA status and different dimensions of cognitive function. Supplementary Figure 1a. Characteristics of total amount and duration of LTPA among MCI and non-MCI participants. Supplementary Figure 1b. Association between total amount of LTPA and risk of MCI. Supplementary Figure 1c. Association between duration of LTPA and risk of MCI. Supplementary Figure 2a. Characteristics of MMSE score for participants with different total amount of LTPA. Supplementary Figure 2b. Mean score of MMSE for participants with different total amount of LTPA. Supplementary Figure 2c. Characteristics of MMSE score for participants with different duration of LTPA. Supplementary Figure 2d. Mean score of MMSE for participants with different duration of LTPA.

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Li, X., Peng, A., Li, L. et al. Association between walking and square dancing-oriented leisure-time physical activity and cognitive function among middle-aged and elderly people in Southwest China. BMC Geriatr 23, 28 (2023). https://doi.org/10.1186/s12877-023-03737-0

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  • DOI: https://doi.org/10.1186/s12877-023-03737-0

Keywords

  • Leisure-time physical activity
  • Walking
  • Square dancing
  • MMSE
  • Cognitive function

BMC Geriatrics

ISSN: 1471-2318

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