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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
被引:67
作者:
He, Li
[1
]
Biddle, Stuart J. H.
[2
]
Lee, John Tayu
[3
,4
]
Duolikun, Nadila
[5
]
Zhang, Lin
[6
,7
]
Wang, Zijie
[1
]
Zhao, Yang
[5
,8
]
机构:
[1] Beijing Normal Univ, Coll Phys Educ & Sport, Xinjiekouwai St 19, Beijing 100875, Peoples R China
[2] Univ Southern Queensland, Ctr Hlth Res, Springfield, Qld, Australia
[3] Univ Melbourne, Nossal Inst Global Hlth, Melbourne, Vic 3010, Australia
[4] Imperial Coll London, Sch Publ Hlth, Dept Primary Care & Publ Hlth, Publ Hlth Policy Evaluat Unit, London, England
[5] Peking Univ Hlth Sci Ctr, George Inst Global Hlth, GIC, Women & Child Hlth Program, Beijing, Peoples R China
[6] Chinese Acad Med Sci & Peking Union Med Coll, Sch Publ Hlth, Beijing 100730, Peoples R China
[7] Univ Melbourne, Melbourne Sch Populat & Global Hlth, Melbourne, Vic 3010, Australia
[8] WHO Collaborating Ctr Implementat Res Prevent & C, Melbourne, Vic, Australia
基金:
中国国家自然科学基金;
关键词:
Multimorbidity;
Physical activity;
Sleep;
Adults;
China;
LIFE-STYLE FACTORS;
OLDER-ADULTS;
HEALTH;
RECOMMENDATIONS;
BEHAVIORS;
PATTERNS;
RISK;
D O I:
10.1186/s12966-021-01150-7
中图分类号:
R15 [营养卫生、食品卫生];
TS201 [基础科学];
学科分类号:
100403 ;
摘要:
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.
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