深圳人群多重发病与复合生活方式的关系

Journal of multimorbidity and comorbidity Pub Date : 2022-09-05 eCollection Date: 2022-01-01 DOI:10.1177/26335565221123990
Hua-Lu Yang, Bei-Rong Mo, Alex Molassiotis, Mian Wang, Gui-Lan He, Yao Jie Xie
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引用次数: 3

摘要

目的:了解经济快速发展的中国南部沿海高科技城市成人多发病状况,并探讨其与生活方式的关系。方法:2018年2 - 12月对深圳市南山区24个社区中心进行人口调查。参与者采用分层随机抽样方法招募。采用自填问卷收集典型慢性疾病、生活方式因素、身体组成和社会人口统计数据。多病被定义为一个人同时患有两种或两种以上的慢性疾病。一种基于身体质量指数、体力活动、饮酒、吸烟和睡眠质量的算法被用来计算生活方式得分(0-9),得分越高,预示着生活方式越健康。结果:共纳入2905人,其中男性占52.4%,单身占25%。多病患病率为4.8%,平均生活方式评分为4.79±1.55。老年、退休、已婚、受教育程度较低的人群更有可能患有多重疾病(均P < 0.05)。在肥胖、体育锻炼较少、饮酒较多、睡眠质量较差的人群中,多重疾病的患病率较高(均p < 0.05)。在调整了年龄、就业、教育和婚姻状况后,生活方式得分每增加一个单位,多病发生率降低0.74倍(OR: 0.74;95% CI: 0.63-0.87, p < 0.05)。结论:经济发达的深圳市多病患病率较低。保持健康的生活方式可以降低患多种慢性疾病的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Relationship between multimorbidity and composite lifestyle status in Shenzhen, China.

Relationship between multimorbidity and composite lifestyle status in Shenzhen, China.

Relationship between multimorbidity and composite lifestyle status in Shenzhen, China.

Relationship between multimorbidity and composite lifestyle status in Shenzhen, China.

Objective: The study aimed to understand multimorbidity among adults in a high-tech city in southern coastal China that has undergone rapid economic development and to investigate its relationship with lifestyle status.

Methods: A population-based survey was conducted among 24 community centers in the Nanshan District of Shenzhen from February to December of 2018. Participants were recruited using a stratified random sampling approach. A self-administered questionnaire on typical chronic diseases, lifestyle factors, body composition, and social demographics was used to collect data. Multimorbidity was defined as two or more chronic diseases coexisting in a single person. An algorithm on body mass index, physical activity, drinking, smoking, and sleep quality was used to calculate lifestyle scores (0-9), with higher scores predicting a healthier lifestyle.

Results: A total of 2,905 participants were included in the analysis, with men accounting for 52.4%, and single for 25%. The prevalence of multimorbidity was 4.8%, and the mean lifestyle score was 4.79 ± 1.55. People who were old, retired, married, and had less education were more likely to have multimorbidity (all P < .05). A higher prevalence of multimorbidity was found among those who were obese, less engaged in physical activity, consumed more alcohol, and had poorer sleep quality (all p < .05). After adjusting for age, employment, education, and marital status, one unit increase in lifestyle score was associated with 0.74 times lower to have multimorbidity (OR: 0.74; 95% CI: 0.63-0.87, p < .05).

Conclusion: The prevalence of multimorbidity was relatively low in economically developed Shenzhen. Keeping a healthy lifestyle was related to the lower possibility of suffering from multiple chronic diseases.

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