Urban Vocational College of Sichuan, Chengdu, China.
School of healthcare and technology, Chengdu Neusoft University, Chengdu, China.
PLoS One. 2024 Feb 2;19(2):e0297096. doi: 10.1371/journal.pone.0297096. eCollection 2024.
Adults living alone represent a growing population group in China. Understanding the prevalence of body mass index (BMI) categories and their associations with demographic and lifestyle factors among this group is essential for informing targeted interventions and public health policies.
In this population-based cross-sectional study, we used individual-level data from the 2011-2021 China General Social Survey. Main outcomes were prevalence of BMI categories adjusted for gender and age, using logistic regression and model-predicted marginal prevalence to estimate BMI categories prevalence.
We analyzed 9,077 single-living Chinese adult participants. The primary-adjusted prevalence of BMI categories varied across different genders and age groups. Underweight was more prevalent in females (12.73%; 95% CI: 12.31% - 13.14%) than in males (7.54%; 95% CI: 7.19% - 7.88%), while overweight and obesity were higher in males. Primary-adjusted underweight prevalence was highest among the 18-24 years age group (22.09%; 95% CI: 20.17% - 24.01%) and decreased with age. Primary-adjusted overweight prevalence increased with age, peaking in the 45-54 years age group (41.94%; 95% CI: 40.96% - 42.93%). Primary-adjusted obesity prevalence exhibited a fluctuating pattern across age groups, with the highest prevalence observed in the 45-54 years age group (9.81%; 95% CI: 9.19% - 10.44%).
Our findings reveal significant associations between BMI categories and demographic and lifestyle factors among adults living alone in China. These results can inform targeted interventions and public health policies aimed at promoting healthy weight management and addressing the unique health challenges faced by single-living individuals in China.
在中国，独居成年人是一个不断增长的群体。了解该群体的体重指数（BMI）类别流行情况及其与人口统计学和生活方式因素的关联，对于制定有针对性的干预措施和公共卫生政策至关重要。
本研究采用基于人群的横断面研究设计，利用 2011-2021 年中国综合社会调查的个体水平数据。主要结局指标为性别和年龄调整后的 BMI 类别流行率，采用逻辑回归和模型预测边际流行率来估计 BMI 类别流行率。
我们分析了 9077 名独居的中国成年参与者。不同性别和年龄组的主要调整后 BMI 类别流行率存在差异。女性（12.73%；95%CI：12.31% - 13.14%）的消瘦比例高于男性（7.54%；95%CI：7.19% - 7.88%），而超重和肥胖比例则男性更高。18-24 岁年龄组的主要调整后消瘦流行率最高（22.09%；95%CI：20.17% - 24.01%），并随年龄增长而降低。主要调整后超重流行率随年龄增长而增加，在 45-54 岁年龄组达到峰值（41.94%；95%CI：40.96% - 42.93%）。主要调整后肥胖流行率在各年龄组呈波动模式，45-54 岁年龄组的流行率最高（9.81%；95%CI：9.19% - 10.44%）。
本研究结果表明，中国独居成年人的 BMI 类别与人口统计学和生活方式因素之间存在显著关联。这些结果可为针对中国独居个体的健康体重管理提供信息，并为制定公共卫生政策提供依据，以应对他们所面临的独特健康挑战。
