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多民族中老年人群体中,体质指数和腰围与代谢综合征各组分的单独和联合关联:一项横断面研究。

Individual and combined associations of body mass index and waist circumference with components of metabolic syndrome among multiethnic middle-aged and older adults: A cross-sectional study.

机构信息

National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.

Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China.

出版信息

Front Endocrinol (Lausanne). 2023 Feb 22;14:1078331. doi: 10.3389/fendo.2023.1078331. eCollection 2023.

Abstract

OBJECTIVES

Body mass index (BMI) and waist circumference (WC) are closely associated with metabolic syndrome and its components. Hence, a combination of these two obesity markers may be more predictive. In this study, we aimed to investigate the individual and combined associations of BMI and WC with selected components of metabolic syndrome and explored whether age, sex and ethnicity affected the aforementioned associations.

METHODS

A total of 6,298 middle-aged and older adults were included. Based on BMI and WC, the participants were divided into 4 groups: comorbid obesity (BMI ≥ 28 kg/m and WC< 85/90 cm for women/men), abdominal obesity alone (BMI< 28 kg/m and WC≥ 85/90 cm for women/men), general obesity alone (BMI ≥ 28 kg/m and WC< 85/90 cm for women/men) and nonobesity subgroups (BMI< 28 kg/m and WC< 85/90 cm for women/men). Selected components of metabolic syndrome were evaluated using the criteria recommended by the Chinese Diabetes Society. Poisson regression models with robust variance were used to evaluate the associations of obesity groups with selected components of metabolic syndrome. An interaction test was conducted to explore whether age, sex and ethnicity affect the aforementioned associations.

RESULTS

Compared with participants in the reference group (comorbid obesity), participants in the other 3 groups showed a decreased prevalence of fasting hyperglycemia (PR=0.83, 95% CI=0.73-0.94 for abdominal obesity alone, PR=0.60, 95% CI=0.38-0.96 for general obesity alone and PR=0.46, 95% CI=0.40-0.53 for nonobesity), hypertension (PR=0.86, 95% CI=0.82-0.90 for abdominal obesity alone, PR=0.80, 95% CI=0.65-0.97 for general obesity alone and PR=0.69, 95% CI = 0.66-0.73 for nonobesity) and hypertriglyceridemia (PR=0.88, 95% CI=0.82-0.95 for abdominal obesity alone, PR=0.62, 95% CI=0.47-0.81 for general obesity alone and PR=0.53, 95% CI=0.49-0.57 for nonobesity). However, participants in the abdominal obesity alone and nonobesity groups showed a decreased prevalence of low HDL-C levels while participants in the general obesity alone group did not (PR=0.65, 95% CI=0.41-1.03, p>0.05). In addition, the aforementioned associations were not affected by age, sex or ethnicity (all p for interactions>0.05).

CONCLUSIONS

Comorbid obesity is superior to general and abdominal obesity in identifying individuals at high risk of developing metabolic syndrome in middle-aged and older adults. Great importance should be attached to the combined effect of BMI and WC on the prevention and management of metabolic syndrome.

摘要

目的

体重指数(BMI)和腰围(WC)与代谢综合征及其组分密切相关。因此,这两种肥胖标志物的结合可能更具预测性。本研究旨在探讨 BMI 和 WC 与代谢综合征各组分的单独和联合关联,并探讨年龄、性别和种族是否影响上述关联。

方法

共纳入 6298 名中老年人。根据 BMI 和 WC,将参与者分为 4 组:合并肥胖(BMI≥28kg/m 且 WC<85/90cm 女性/男性)、单纯腹型肥胖(BMI<28kg/m 且 WC≥85/90cm 女性/男性)、单纯全身肥胖(BMI≥28kg/m 且 WC<85/90cm 女性/男性)和非肥胖亚组(BMI<28kg/m 且 WC<85/90cm 女性/男性)。采用中国糖尿病学会推荐的标准评估代谢综合征的各组分。采用稳健方差的 Poisson 回归模型评估肥胖组与代谢综合征各组分的关联。采用交互检验探讨年龄、性别和种族是否影响上述关联。

结果

与参考组(合并肥胖)相比,其他 3 组空腹高血糖的患病率降低(PR=0.83,95%CI=0.73-0.94 单纯腹型肥胖,PR=0.60,95%CI=0.38-0.96 单纯全身肥胖,PR=0.46,95%CI=0.40-0.53 非肥胖)、高血压(PR=0.86,95%CI=0.82-0.90 单纯腹型肥胖,PR=0.80,95%CI=0.65-0.97 单纯全身肥胖,PR=0.69,95%CI=0.66-0.73 非肥胖)和高三酰甘油血症(PR=0.88,95%CI=0.82-0.95 单纯腹型肥胖,PR=0.62,95%CI=0.47-0.81 单纯全身肥胖,PR=0.53,95%CI=0.49-0.57 非肥胖)。然而,单纯腹型肥胖和非肥胖组的低 HDL-C 水平患病率降低,而单纯全身肥胖组没有(PR=0.65,95%CI=0.41-1.03,p>0.05)。此外,上述关联不受年龄、性别或种族的影响(所有交互作用 p 值均>0.05)。

结论

在中老年人中,合并肥胖比单纯全身肥胖和单纯腹型肥胖更能识别出代谢综合征高危人群。应高度重视 BMI 和 WC 对代谢综合征预防和管理的联合作用。

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Metabolically Healthy Obesity.代谢健康型肥胖。
Endocr Rev. 2020 May 1;41(3). doi: 10.1210/endrev/bnaa004.

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