Association of Lifestyle Factors with Multimorbidity Risk in China: A National Representative Study

IF 2.8 3区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Applied Research in Quality of Life Pub Date : 2024-03-12 DOI:10.1007/s11482-024-10291-3
Xinye Zou, Siyu Zou, Ruolin Zhang, Kefan Xue, Yi Guo, Hewei Min, Yibo Wu, Xinying Sun
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Abstract

Multimorbidity significantly impacts health, well-being, and the economy; therefore, exploring notable factors associated with multimorbidity across all age groups is critical. For this investigation, we focused on the relationship between four lifestyle factors and multimorbidity risk. We recruited 11,031 Chinese citizens aged ≥ 12 years from 31 provinces between July 2021 and September 2021 using a quota sampling strategy to ensure that the socioeconomic characteristics (sex, age, rural–urban distribution) of those participating in this research were representative of national demographics. In the first stage, multivariable logistic regression models were utilized as a means of investigating the relationship between lifestyle factors and multimorbidity. Then, a multinomial logistic regression model was used with the aim of examining the Healthy Lifestyle Profile (HLP) related to the number of chronic diseases. Multivariable logistic regression models assessed the interaction effects and joint association among the four lifestyle factors. Overall, 18% of the participants had at least one disease, and 5.9% had multimorbidity. Approximately two-thirds of the participants were physically inactive, 40% had consumed alcohol, 39% were underweight or overweight, and 20% were or had been smokers. Participants who maintained one HLP showed a 34% lower multimorbidity risk (adjusted OR, 0.66; 95% CI, 0.48 to 0.92), while participants who maintained 4 HLP showed a 73% lower multimorbidity risk (adjusted OR, 0.27; 95% CI, 0.17 to 0.43), as compared to those who had 0 HLP. The joint association analysis revealed that participants with all four healthy lifestyle factors had 0.92 times lower odds of multimorbidity (95% CI: 0.90, 0.94) in comparison with the all-unhealthy reference cluster. Notably, individuals with a combination of healthy smoking status and healthy body weight had the highest minimized odds of multimorbidity (OR: [0.92], 95% CI: 0.91, 0.94). Common lifestyle habits, alone or in combination, are associated with multimorbidity risk. This study provides insights for public health programs to promote a healthy lifestyle at a younger age and to alleviate multimorbidity risk in older people.

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中国生活方式因素与多病风险的关系:一项全国代表性研究
多病症严重影响健康、福祉和经济;因此,探索与所有年龄组多病症相关的显著因素至关重要。在这项调查中,我们重点研究了四种生活方式因素与多病症风险之间的关系。在 2021 年 7 月至 2021 年 9 月期间,我们采用配额抽样策略从 31 个省份招募了 11 031 名年龄≥ 12 岁的中国公民,以确保参与研究者的社会经济特征(性别、年龄、城乡分布)在全国人口统计中具有代表性。在第一阶段,利用多变量逻辑回归模型来研究生活方式因素与多病症之间的关系。然后,使用多项式逻辑回归模型,目的是研究健康生活方式档案(HLP)与慢性病数量之间的关系。多变量逻辑回归模型评估了四个生活方式因素之间的交互效应和共同关联。总体而言,18%的参与者至少患有一种疾病,5.9%的参与者患有多种疾病。约三分之二的参与者缺乏运动,40%的人饮酒,39%的人体重不足或超重,20%的人现在或曾经吸烟。与没有健康生活方式的参与者相比,保持一种健康生活方式的参与者的多病风险降低了34%(调整后的OR值为0.66;95% CI为0.48至0.92),而保持四种健康生活方式的参与者的多病风险降低了73%(调整后的OR值为0.27;95% CI为0.17至0.43)。联合关联分析显示,与全不健康的参照群组相比,具有所有四种健康生活方式因素的参与者的多病风险降低了 0.92 倍(95% CI:0.90,0.94)。值得注意的是,同时拥有健康吸烟状况和健康体重的个体,其多病发病几率降到了最低(OR:[0.92],95% CI:0.91,0.94)。常见的生活习惯,无论是单独还是组合,都与多病风险有关。这项研究为公共卫生计划提供了启示,以促进健康的年轻生活方式,减轻老年人的多病风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Applied Research in Quality of Life
Applied Research in Quality of Life SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
6.40
自引率
11.80%
发文量
90
期刊介绍: The aim of this journal is to publish conceptual, methodological and empirical papers dealing with quality-of-life studies in the applied areas of the natural and social sciences. As the official journal of the ISQOLS, it is designed to attract papers that have direct implications for, or impact on practical applications of research on the quality-of-life. We welcome papers crafted from interdisciplinary, inter-professional and international perspectives. This research should guide decision making in a variety of professions, industries, nonprofit, and government sectors, including healthcare, travel and tourism, marketing, corporate management, community planning, social work, public administration, and human resource management. The goal is to help decision makers apply performance measures and outcome assessment techniques based on concepts such as well-being, human satisfaction, human development, happiness, wellness and quality-of-life. The Editorial Review Board is divided into specific sections indicating the broad scope of practice covered by the journal. The section editors are distinguished scholars from many countries across the globe.
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