Fan Hui, Zhang Xingyu, Wang Chongjian, Han Chunlei
Department of Epidemiology and Health Statistics, School of Public Health, North Sichuan Medical College, Nanchong, Sichuan, China.
Key Laboratory of Digital-Intelligent Disease Surveillance and Health Governance, North Sichuan Medical College, Nanchong, Sichuan, China.
BMC Public Health. 2025 Jan 20;25(1):228. doi: 10.1186/s12889-025-21433-z.
Combined effect of healthy lifestyles and obesity on cardiometabolic risks were unclear in Chinese rural adults. We aimed to assess the above-mentioned issue.
This study included 25,123 adults from baseline survey of Henan rural cohort study. We collected information regarding current not smoking, current not drinking, healthy diet, adequate exercise, and healthy sleep. We calculated the number of healthy lifestyle factors for each participant or used the latent class analysis to identify clustering classes of healthy lifestyle. Body mass index (BMI), waist circumference (WC), blood pressure, blood lipid, and fasting blood glucose were measured. Logistic models were applied to assess the combined associations of healthy lifestyles and obesity with cardiometabolic risks.
3.8%, 45.8%, and 50.4% of all participants had 0-1, 2-3, and 4-5 healthy factors. The prevalence of obesity defined by BMI and WC was 17.1% and 38.1%, respectively. Compared with participants with obesity who met 0-1 healthy factor, those with obesity who met 4-5 healthy factors have a lower risk of hypertension (odds ratio [OR], 0.41; 95% confidence intervals [95%CI], 0.29-0.58) and dyslipidemia (OR, 0.49; 95%CI, 0.35-0.68) except hyperglycemia (OR, 0.87; 95%CI, 0.53-1.43). Irrespective of the healthy lifestyle scores, compared with participants with normal weight, those with obesity were at higher risk of hypertension, dyslipidemia and hyperglycemia. We obtained similar results when using the latent class analysis or WC to define obesity.
Our findings indicated that healthy lifestyle did not entirely offset the obesity-related cardiometabolic risks although it brought some benefits.
在中国农村成年人中，健康生活方式与肥胖对心血管代谢风险的综合影响尚不清楚。我们旨在评估上述问题。
本研究纳入了来自河南农村队列研究基线调查的25123名成年人。我们收集了有关当前不吸烟、当前不饮酒、健康饮食、充足运动和健康睡眠的信息。我们计算了每个参与者的健康生活方式因素数量，或使用潜在类别分析来识别健康生活方式的聚类类别。测量了体重指数（BMI）、腰围（WC）、血压、血脂和空腹血糖。应用逻辑模型评估健康生活方式和肥胖与心血管代谢风险的综合关联。
所有参与者中，3.8%、45.8%和50.4%的人有0 - 1个、2 - 3个和4 - 5个健康因素。根据BMI和WC定义的肥胖患病率分别为17.1%和38.1%。与符合0 - 1个健康因素的肥胖参与者相比，符合4 - 5个健康因素的肥胖参与者患高血压（比值比[OR]，0.41；95%置信区间[95%CI]，0.29 - 0.58）和血脂异常（OR，0.49；95%CI，0.35 - 0.68）的风险较低，但高血糖风险除外（OR，0.87；95%CI，0.53 - 1.43）。无论健康生活方式得分如何，与体重正常的参与者相比，肥胖参与者患高血压、血脂异常和高血糖的风险更高。当使用潜在类别分析或WC来定义肥胖时，我们得到了类似的结果。
我们的研究结果表明，健康生活方式虽然带来了一些益处，但并未完全抵消与肥胖相关的心血管代谢风险。
