Wang Meng, Yi Yanqing, Roebothan Barbara, Colbourne Jennifer, Maddalena Victor, Wang Peizhong Peter, Sun Guang
Division of Community Health & Humanities, Faculty of Medicine, Memorial University, St. John's, NL, Canada A1B 3V6.
Discipline of Medicine, Faculty of Medicine, Memorial University, St. John's, NL, Canada A1B 3V6.
J Environ Public Health. 2016;2016:7014857. doi: 10.1155/2016/7014857. Epub 2016 Jan 27.
Whether there is heterogeneity in the development of BMI from middle-age onward is still unknown. The primary aim of this study is to analyze long-term obesity and how BMI trajectories are associated with health outcomes in midlife.
Latent Class Growth Modelling was used to capture the changes in BMI over time. In this study, 3070 individuals from the National Population Health Survey (NPHS), aged 40-55 years at baseline, were included.
Four BMI trajectory groups, "Normal-Stable" (N-S), "Overweight-Stable" (OV-S), "Obese I-Stable" (OB I-S), and "Obese II-Stable" (OB II-S), were identified. Men, persons of White ancestry, and individuals who had no postsecondary education had higher odds of being in the latter three groups. Moreover, members of the OV-S, OB I-S, and OB II-S groups experienced more asthma, arthritis, hypertension, diabetes, heart disease, cognitive impairment, and reduced self-rated overall health. Individuals in the OB II-S group were at greater risk for back problems, chronic bronchitis or emphysema, and emotional issues when compared to the N-S group.
Understanding different BMI trajectories is important in order to identify people who are at the highest risk of developing comorbidities due to obesity and to establish programs to intervene appropriately.
从中年开始,体重指数(BMI)的发展是否存在异质性仍不清楚。本研究的主要目的是分析长期肥胖情况以及BMI轨迹与中年健康结局之间的关联。
采用潜在类别增长模型来描述BMI随时间的变化。本研究纳入了来自全国人口健康调查(NPHS)的3070名个体,基线年龄为40 - 55岁。
确定了四个BMI轨迹组,即“正常稳定”(N - S)、“超重稳定”(OV - S)、“肥胖I稳定”(OB I - S)和“肥胖II稳定”(OB II - S)。男性、白人血统者以及未接受过高等教育的个体属于后三组的几率更高。此外,OV - S、OB I - S和OB II - S组的成员患哮喘、关节炎、高血压、糖尿病、心脏病、认知障碍以及自评总体健康状况下降的情况更多。与N - S组相比,OB II - S组的个体患背部问题、慢性支气管炎或肺气肿以及情绪问题的风险更高。
了解不同的BMI轨迹对于识别因肥胖而患合并症风险最高的人群以及制定适当的干预方案非常重要。