Dataset Information

Optimised anthropometric indices as predictive screening tools for metabolic syndrome in adults: a cross-sectional study.

ABSTRACT:

Objectives

We aimed to evaluate the association between metabolic syndrome (MetS) and two latest optimised indices, waist divided by height ^0.5 (WHT.5R) and body mass index (BMI) multiply by the square root of BMI and waist circumference (BMI?WC), and to comprehensively compare the ability of 10 anthropometric indices to identify MetS, including BMI?WC, WHT.5R, abdominal volume index (AVI), waist-to-height ratio (WHtR), Body Roundness Index (BRI).

Design

Cross-sectional study.

Setting

Ningxia, China.

Participants

A total of 3860 adults aged 18-88 years from Ningxia, China were recruited by a single stratified cluster random sampling method.

Methods

ORs and 95% CIs for associations between indices and MetS were calculated using binary logistic regression, and areas under the receiver operating characteristic (ROC) curves (AUCs) were performed to compare their predictive capacity for MetS. All results for men and women were analysed and presented separately.

Results

The highest adjusted ORs for MetS were observed for the following indices: AVI (OR 15.22, 95%?CI 10.88 to 21.30), WHT.5R (OR 13.83, 95%?CI 9.89 to 19.35) and BMI?WC (OR 12.14, 95%?CI 8.79 to 16.76) in men, whereas BRI, WHtR (both OR 14.91, 95%?CI 10.39 to 21.4), WHT.5R (OR 14.22, 95%?CI 9.96 to 20.29) and AVI (OR 14.03, 95%?CI 9.91 to 19.87) in women. In ROC analysis, AVI (AUC: 0.767 for men and 0.749 for women) and WHT.5R (AUC: 0.761 for men and 0.747 for women) showed the highest predictive ability for MetS.

Conclusions

BMI?WC and WHT.5R were significantly positively associated with MetS, and AVI and WHT.5R could be useful screening tools for identifying MetS in both sexes.

SUBMITTER: Wu Y

PROVIDER: S-EPMC7853002 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

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Publications

Optimised anthropometric indices as predictive screening tools for metabolic syndrome in adults: a cross-sectional study.

Wu Yating Y Li Hongyu H Tao Xiujuan X Fan Yanna Y Gao Qinghan Q Yang Jianjun J

BMJ open 20210131 1

<h4>Objectives</h4>We aimed to evaluate the association between metabolic syndrome (MetS) and two latest optimised indices, waist divided by height <sup>0.5</sup> (WHT.5R) and body mass index (BMI) multiply by the square root of BMI and waist circumference (BMI√WC), and to comprehensively compare the ability of 10 anthropometric indices to identify MetS, including BMI√WC, WHT.5R, abdominal volume index (AVI), waist-to-height ratio (WHtR), Body Roundness Index (BRI).<h4>Design</h4>Cross-sectional ...[more]

PMID: 33518525

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Project description:OBJECTIVES:Whether the association between obesity-related anthropometric indices and multimorbidity differs by age among Chinese older adults (aged 65+) is unclear. We aimed to investigate the association between body mass index (BMI), waist circumference (WC) and waist-to-hip ratio (WHR) with multimorbidity among the young-old (aged 65-79) and old-old (aged 80+) adults. DESIGN:Cross-sectional population-based study. SETTING:Shandong province on the eastern coast of China. PARTICIPANTS:5493 subjects aged 65 years or above. MEASUREMENTS:Details on sociodemographics, lifestyle characteristics and chronic conditions were collected using a structured questionnaire. The respondents were assessed with anthropometric measurements including height, weight, WC, hip circumference. RESULTS:The overall prevalence of multimorbidity in older adults (aged 65+) was 35.2%. The BMI-obesity, WC-obesity and WHR-obesity rates were 7.4%, 57.5% and 80.4%, respectively. In the young-old adults (aged 65-79), the likelihood of multimorbidity was more than two times higher among the BMI-obese than the BMI-normal population (OR 2.08, 95%?CI 1.66 to 2.60). Similar but less strong associations were found for the WC-obese and WHR-obese young-old population (OR 1.60, 95%?CI 1.42 to 1.81; OR 1.31, 95%?CI 1.10 to 1.56, respectively). For the old-old group (aged 80+), the BMI-obese, WC-obese and WHR-obese had a higher likelihood of having multimorbidity compared with the normal weight category (OR 2.10, 95%?CI 0.96 to 4.57; OR 1.75, 95%?CI 1.21 to 2.54; OR 2.15, 95%?CI 1.18 to 3.93, respectively). CONCLUSION:BMI-obesity, WC-obesity and WHR-obesity were associated with a greater risk of multimorbidity, and the associations were different between the young-old and the old-old adults. These age differences need to be considered in assessing healthy body weight in old age. These findings may be vital for public health surveillance, prevention and management strategies for multimorbidity in older adults.

Dataset Information

Optimised anthropometric indices as predictive screening tools for metabolic syndrome in adults: a cross-sectional study.

Objectives

Design

Setting

Participants

Methods

Results

Conclusions

Publications

Optimised anthropometric indices as predictive screening tools for metabolic syndrome in adults: a cross-sectional study.

Similar Datasets

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