| 蒋文平,李万春,李伟,等.身体质量指数、腰围及其组合对脑卒中发生风险的影响:一项基于中国营养健康调查项目的大型队列研究[J].安徽医药,2025,29(9):1880-1882. |
| 身体质量指数、腰围及其组合对脑卒中发生风险的影响:一项基于中国营养健康调查项目的大型队列研究 |
| Effects of body mass index, waist circumference, and their combination on the risk of stroke: a large-scale cohort study based on the CHNS project |
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| DOI：10.3969/j.issn.1009-6469.2025.09.021 |
| 中文关键词: 卒中 身体质量指数 腰围 队列研究 中国营养健康调查 |
| 英文关键词: Stroke Body mass index Waist circumference Cohort study CHNS |
| 基金项目: |
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| 摘要点击次数: 755 |
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| 中文摘要: |
| 目的探讨身体质量指数( BMI)、腰围( WC)及其组合对脑卒中发生风险的影响。方法选取 1997―2015年中国营养健康调查( CHNS)项目中有脑卒中、体格测量信息，至少参与了 1次随访且基线无脑卒中病史的成年人(≥18岁)作为研究对象，排除基线信息缺失者，共计 14 066例被纳入研究，其中男性 6 745例( 48.0%)女性 7 321例( 52.0%)，年龄( 43.34±15.24)岁。以 BMI为标准，超重或肥胖定义为 BMI≥24 kg/m2以腰围为标准，定义为男性腰围 ≥90 cm、女性腰围 ≥85 cm(腰围(BMI肥胖)；肥胖，肥胖)。使用散点图和 Pearson相关性系数分析 BMI与腰围的相关性。单因素分析有意义的变量作为协变量，分别与 BMI肥胖、腰围肥胖一起纳入多因素 logistic回归模型，然后分析 BMI肥胖、腰围肥胖对脑卒中发生风险的联合作用。结果中位随访时间为 9(2~18)年，随访期间新发脑卒中 358例( 2.5%)。单因素分析显示， BMI肥胖［OR=1.56，95%CI:(1.26，1.93)，P<0.001］和腰围肥胖［OR=1.75，95%CI:(1.41，2.18)，P<0.001］均增加了脑卒中的发生风险。多因素分析显示， BMI肥胖［OR=1.34，95%CI:(1.07，1.67)P=0.011］和腰围肥胖［OR=1.32，95%CI:(1.05，1.67)P=0.018］均为脑卒中发生的独立危险因素。联合作用分析显示:当 BMI胖与腰围肥胖同时存在时，95%CI:1.86)而肥，增加，脑卒中发生风险显著［OR=1.43，(1.11， P=0.007］；当 BMI肥胖［OR=1.26，95%CI:1.74)P=0.154］与腰围肥胖［OR=1.24，(0.78， ， 存在，脑卒中(0.92，， 95%CI:1.97)P=0.359］单独时，发生风险增加不显著。结论 BMI肥胖( BMI≥24 kg/m2)、腰围肥胖(男性腰围 ≥90 cm、女性腰围 ≥85 cm)均为脑卒中发生的独立危险因素，当两者同时存在时，脑卒中发生风险显著增加。 |
| 英文摘要: |
| Objective To explore the effects of body mass index (BMI), waist circumference (WC), and their combination on the risk of stroke.Methods We selected adult participants (≥18 years) with stroke information, baseline physical measurement data, and no baselinehistory of stroke from the China Health and Nutrition Survey (CHNS) conducted between 1997 and 2015. Participants who had at least onefollow-up assessment were included in the study. Excluding those with missing baseline information, a total of 14 066 participants were in-cluded in the study, of whom 6 745 (48.0%) were male and 7 321 (52.0%) were female, with a mean age of (43.34±15.24) years. Using BMI asthe standard, overweight or obesity was defined as BMI≥24 kg/m2 (BMI obesity); using WC as the standard, obesity was defined as WC≥90cm for males and WC≥85 cm for females (WC obesity). Scatter plots and Pearson correlation coefficients were used to analyze the correlationbetween BMI and WC. Variables with significant univariate analysis results were included as covariates, together with BMI obesity and WCobesity in the multivariate logistic regression model, and then the joint effect of BMI obesity and WC obesity on the risk of stroke onset was an-alyzed.Results The median follow-up time was 9 (2-18) years, during which 358 cases of new stroke occurred (2.5%). Univariate analysis showed that both BMI obesity [OR=1.56, 95%CI:(1.26, 1.93), P<0.001] and WC obesity [OR=1.75, 95%CI:(1.41, 2.18), P<0.001] increased the risk of stroke. Multivariate analysis showed that both BMI obesity [OR=1.34, 95% CI:(1.07, 1.67), P=0.011] and WC obesity [OR=1.32, 95%CI:(1.05, 1.67), P=0.018] were independent risk factors for stroke. The joint effect analysis showed that when BMI obesity and WC obe-sity coexisted, the risk of stroke significantly increased [OR=1.43,95%CI:(1.11,1.86),P=0.007], while when BMI obesity [OR=1.26, 95%CI: (0.92, 1.74), P=0.154] and WC obesity [OR=1.24,95%CI:(0.78,1.97),P=0.359] existed alone, the risk of stroke did not increase significant‐ly.Conclusion BMI obesity (BMI≥24 kg/m2) and WC obesity (WC≥90 cm for men, WC≥85 cm for women) are independent risk factors forstroke, and the risk of stroke significantly increases when both coexist. |
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