Cai Zhiwei, Yang Xu, Huang Zegui, Wang Xianxuan, Chen Zekai, Cai Zefeng, Zhao Wenliu, Wu Weiqiang, Wu Shouling, Chen Youren
Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China.
Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.
Public Health. 2023 May;218:139-145. doi: 10.1016/j.puhe.2023.03.004. Epub 2023 Apr 6.
Over the past decades, China has seen a dramatic epidemic of overweight and obesity. However, the optimal period for interventions to prevent overweight/obesity in adulthood remains unclear, and little is known regarding the joint effect of sociodemographic factors on weight gain. We aimed to investigate the associations of weight gain with sociodemographic factors, including age, sex, educational level, and income.
This was a longitudinal cohort study.
This study included 121,865 participants aged 18-74 years from the Kailuan study who attended health examinations over the period 2006-2019. Multivariate logistic regression and restricted cubic spline were used to evaluate the associations of sociodemographic factors with body mass index (BMI) category transitions over two, six, and 10 years.
In the analysis of 10-year BMI changes, the youngest age group had the highest risks of shifting to higher BMI categories, with odds ratio of 2.42 (95% confidence interval 2.12-2.77) for a transition from underweight or normal weight to overweight or obesity and 2.85 (95% confidence interval 2.17-3.75) for a transition from overweight to obesity. Compared with baseline age, education level was less related to these changes, whereas gender and income were not significantly associated with these transitions. Restricted cubic spline analyses suggested reverse J-shaped associations of age with these transitions.
The risk of weight gain in Chinese adults is age dependent, and clear public healthcare messaging is needed for young adults who are at the highest risk of weight gain.
在过去几十年中,中国超重和肥胖问题急剧流行。然而,预防成年期超重/肥胖的最佳干预时期仍不明确,关于社会人口学因素对体重增加的联合影响也知之甚少。我们旨在研究体重增加与社会人口学因素(包括年龄、性别、教育水平和收入)之间的关联。
这是一项纵向队列研究。
本研究纳入了开滦研究中121865名年龄在18 - 74岁之间、在2006年至2019年期间参加健康检查的参与者。采用多变量逻辑回归和受限立方样条分析来评估社会人口学因素与两年、六年和十年内体重指数(BMI)类别转变之间的关联。
在对10年BMI变化的分析中,最年轻的年龄组向更高BMI类别的转变风险最高,从体重过轻或正常体重转变为超重或肥胖的比值比为2.42(95%置信区间2.12 - 2.77),从超重转变为肥胖的比值比为2.85(95%置信区间2.17 - 3.75)。与基线年龄相比,教育水平与这些变化的相关性较小,而性别和收入与这些转变无显著关联。受限立方样条分析表明年龄与这些转变呈倒J形关联。
中国成年人体重增加的风险与年龄有关,对于体重增加风险最高的年轻人,需要明确的公共卫生信息。