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      The prevalence of multimorbidity and its association with physical activity and sleep duration in middle aged and elderly adults: a longitudinal analysis from China

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          Abstract

          Background

          Preventing chronic disease is important in health policy in countries with significantly ageing populations. This study aims to examine the prevalence of chronic disease multimorbidity and its association with physical activity and sleep duration; and to understand whether physical activity modifies associations between sleep duration and multimorbidity.

          Methods

          We utilized longitudinal data of a nationally-representative sample from the China Health and Retirement Longitudinal Study (in year 2011 and 2015; N = 5321; 54.7% female; age ≥ 45 years old). Fourteen chronic diseases were used to measure multimorbidity (ten self-reported, and four by blood test). Participants were grouped into high, moderate, and low level based on self-reported frequencies and durations of physical activity with different intensities for at least 10 min at a time in a usual week. Poor and good sleepers were categorized according to average hours of actual sleep at each night during the past month. Panel data method of random-effects logistic regression model was applied to estimate the association of physical activity and sleep with multimorbidity, adjusting for social-demographic and behavioural confounders.

          Results

          From 2011 to 2015, the prevalence of multimorbidity increased from 52.2 to 62.8%. In 2015, the proportion of participants engaging in high, moderate, and low level of physical activity was 30.3, 24.4 and 45.3%, respectively, and 63.6% of adults had good sleep. For both genders, compared with good sleep, poor sleep was associated with higher odds of multimorbidity (OR = 1.527, 95% CI: 1.277, 1.825). Compared to the high-level group, participants with a low level of physical activity were significantly more likely to have multimorbidity (OR = 1.457, 95% CI: 1.277, 1.825), but associations were stronger among women. The relative excess risk due to interaction between poor sleep and moderate or low physical activity was positive but non-significant on multimorbidity.

          Conclusions

          The burden of multimorbidity was high in China. Low physical activity and poor sleep was independently and significantly associated with a higher likelihood of multimorbidity in women and both genders, separately. Physical activity could modify the association between sleep and multimorbidity.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12966-021-01150-7.

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          Most cited references45

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          Cohort profile: the China Health and Retirement Longitudinal Study (CHARLS).

          The China Health and Retirement Longitudinal Study (CHARLS) is a nationally representative longitudinal survey of persons in China 45 years of age or older and their spouses, including assessments of social, economic, and health circumstances of community-residents. CHARLS examines health and economic adjustments to rapid ageing of the population in China. The national baseline survey for the study was conducted between June 2011 and March 2012 and involved 17 708 respondents. CHARLS respondents are followed every 2 years, using a face-to-face computer-assisted personal interview (CAPI). Physical measurements are made at every 2-year follow-up, and blood sample collection is done once in every two follow-up periods. A pilot survey for CHARLS was conducted in two provinces of China in 2008, on 2685 individuals, who were resurveyed in 2012. To ensure the adoption of best practices and international comparability of results, CHARLS was harmonized with leading international research studies in the Health and Retirement Study (HRS) model. Requests for collaborations should be directed to Dr Yaohui Zhao (yhzhao@nsd.edu.cn). All data in CHARLS are maintained at the National School of Development of Peking University and will be accessible to researchers around the world at the study website. The 2008 pilot data for CHARLS are available at: http://charls.ccer.edu.cn/charls/. National baseline data for the study are expected to be released in January 2013.
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            Aging with multimorbidity: a systematic review of the literature.

            A literature search was carried out to summarize the existing scientific evidence concerning occurrence, causes, and consequences of multimorbidity (the coexistence of multiple chronic diseases) in the elderly as well as models and quality of care of persons with multimorbidity. According to pre-established inclusion criteria, and using different search strategies, 41 articles were included (four of these were methodological papers only). Prevalence of multimorbidity in older persons ranges from 55 to 98%. In cross-sectional studies, older age, female gender, and low socioeconomic status are factors associated with multimorbidity, confirmed by longitudinal studies as well. Major consequences of multimorbidity are disability and functional decline, poor quality of life, and high health care costs. Controversial results were found on multimorbidity and mortality risk. Methodological issues in evaluating multimorbidity are discussed as well as future research needs, especially concerning etiological factors, combinations and clustering of chronic diseases, and care models for persons affected by multiple disorders. New insights in this field can lead to the identification of preventive strategies and better treatment of multimorbid patients. Copyright © 2011 Elsevier B.V. All rights reserved.
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              Screening for Depression in Well Older Adults: Evaluation of a Short Form of the CES-D

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                Author and article information

                Contributors
                Wzhao@georgeinstitute.org.cn
                Journal
                Int J Behav Nutr Phys Act
                Int J Behav Nutr Phys Act
                The International Journal of Behavioral Nutrition and Physical Activity
                BioMed Central (London )
                1479-5868
                10 June 2021
                10 June 2021
                2021
                : 18
                : 77
                Affiliations
                [1 ]GRID grid.20513.35, ISNI 0000 0004 1789 9964, College of Physical Education and Sport, , Beijing Normal University, ; Xinjiekouwai Street 19, Haidian District, Beijing, 100875 China
                [2 ]GRID grid.1048.d, ISNI 0000 0004 0473 0844, Centre for Health Research, , University of Southern Queensland, ; Springfield, Queensland Australia
                [3 ]GRID grid.1008.9, ISNI 0000 0001 2179 088X, The Nossal Institute for Global Health, The University of Melbourne, ; Melbourne, Victoria 3010 Australia
                [4 ]GRID grid.7445.2, ISNI 0000 0001 2113 8111, Public Health Policy Evaluation Unit, Department of Primary Care and Public Health, , School of Public Health, Imperial College London, ; London, UK
                [5 ]GRID grid.452860.d, Women & Child Health Program, GIC, , The George Institute for Global Health at Peking University Health Science Center, ; Beijing, China
                [6 ]GRID grid.506261.6, ISNI 0000 0001 0706 7839, School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, ; Beijing, 100730 China
                [7 ]GRID grid.1008.9, ISNI 0000 0001 2179 088X, Melbourne School of Population and Global Health, The University of Melbourne, ; Melbourne, Victoria 3010 Australia
                [8 ]WHO Collaborating Centre on Implementation Research for Prevention and Control of Noncommunicable Diseases, Melbourne, VIC Australia
                Author information
                http://orcid.org/0000-0002-6011-5948
                Article
                1150
                10.1186/s12966-021-01150-7
                8194125
                34112206
                6d26b471-9d0d-44d1-8dde-b052ee22440e
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 23 November 2020
                : 2 June 2021
                Funding
                Funded by: National Natural Science Foundation of China
                Award ID: 81602869
                Funded by: FundRef http://dx.doi.org/10.13039/501100012226, Fundamental Research Funds for the Central Universities;
                Award ID: 3104221
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                Nutrition & Dietetics
                multimorbidity,physical activity,sleep,adults,china
                Nutrition & Dietetics
                multimorbidity, physical activity, sleep, adults, china

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