Wang Xiaotong, Ta Na, Hu Shan, Wang Yawen
Department of Chronic Non-communication Disease Control and Prevention, Tianjin Xiqing District Center for Disease Control and Prevention, Tianjin, China.
Liaoning Provincial Center for Disease Control and Prevention, Shenyang, Liaoning, China.
BMC Public Health. 2024 Dec 18;24(1):3527. doi: 10.1186/s12889-024-20974-z.
Metabolically unhealthy non-obese (MUNO) individuals are at higher risk of cardiovascular diseases, while not receiving sufficient attention. This study was conducted to explore the association between BMI-adjusted CC and MUNO in non-obese US adults using the NHANES database.
A total of 9,628 non-obese US adults (48.01% female and 51.99% male) were included in this cross-sectional study. The metabolically unhealthy phenotype was defined as ≥ 2 components of metabolic abnormalities. BMI-adjusted CC and BMI-adjusted skeletal muscle mass (SMM) were divided into quartiles. Weighted multiple logistic regression model was used to evaluate the study aims. The relation between BMI-adjusted CC and BMI-adjusted SMM was tested by Spearman correlation.
In the multivariate analysis, compared with the lowest quartile of BMI-adjusted CC and BMI-adjusted SMM, OR (95%CI) of the highest quartile was 0.30 (0.25, 0.35) (P < 0.001, P for trend < 0.001) and 0.39 (0.29, 0.53) (P < 0.001, P for trend < 0.001), respectively. BMI-adjusted CC was positively correlated with BMI-adjusted SMM for all participants (r = 0.48). A weak non-linear association was observed in BMI-adjusted CC and MUNO (P = 0.047). Similar results were observed in sex- and BMI-specific subgroup and sensitivity analysis.
BMI-adjusted CC was inversely associated with MUNO, suggesting more attention should be paid to monitoring BMI-adjusted CC for the public to ease the disease burden, especially for people without obesity.
代谢不健康的非肥胖(MUNO)个体患心血管疾病的风险较高,但未得到足够重视。本研究利用美国国家健康与营养检查调查(NHANES)数据库,探讨美国非肥胖成年人中体重指数(BMI)校正后的小腿围(CC)与MUNO之间的关联。
本横断面研究共纳入9628名美国非肥胖成年人(女性占48.01%,男性占51.99%)。代谢不健康表型定义为存在≥2种代谢异常成分。将BMI校正后的CC和BMI校正后的骨骼肌质量(SMM)分为四分位数。采用加权多元逻辑回归模型评估研究目标。通过Spearman相关性检验BMI校正后的CC与BMI校正后的SMM之间的关系。
在多变量分析中,与BMI校正后的CC和BMI校正后的SMM最低四分位数相比,最高四分位数的比值比(OR)及其95%置信区间(CI)分别为0.30(0.25,0.35)(P<0.001,趋势P<0.001)和0.39(0.29,0.53)(P<0.001,趋势P<0.001)。所有参与者的BMI校正后的CC与BMI校正后的SMM呈正相关(r=0.48)。观察到BMI校正后的CC与MUNO之间存在弱非线性关联(P=0.047)。在按性别和BMI分层的亚组及敏感性分析中观察到类似结果。
BMI校正后的CC与MUNO呈负相关,提示应更加关注监测BMI校正后的CC,以减轻公众的疾病负担,尤其是对于非肥胖人群。