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.

Project description:BackgroundDetecting the early onset of metabolic syndrome (MetS) allows for quick intervention which may slow progression to a variety of health consequences, hence, determining the best measurement to detect MetS is essential.AimThis research aimed at examining the MetS predictive power of anthropometric indices, such as body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), body shape index (ABSI), body roundness index (BRI), percentage body fat (%BF), conicity index (CI), and Clínica Universidad de Navarra-body adiposity estimator (CUN-BAE) to determine the cut-off points to identify male South African taxi drivers with MetS.MethodA cross-sectional study was conducted among 185 male taxi drivers. Their weight, height, WC, blood lipid profile were measured. International Diabetes Federation (IDF) definition was used to define MetS. Receiver Operating Characteristic (ROC) curves were used to compare the predictive ability of Anthropometric indices to detect MetS.ResultsThe mean age of the participants was 39.84 years. Overall, 41.6% (N = 77) of the participants presented with MetS. The mean values for BMI, WC, WHtR, %BF, BRI, CUN-BAE, ABSI and CI were 28.60 ± 6.20 kg/m2, 99.13 ± 17.59 cm, 0.58 ± 0.10, 27.28 ± 8.28%, 5.09 ± 2.33, 27.78 ± 8.34, 0.08 ± 0.01 and 1.70 ± 0.19, respectively. The mean values for these indices were significantly (p < 0.001) higher in participants with MetS. The highest area under the curve (AUC) outcomes for screening MetS were for the %BF and CUN-BAE, followed by the BMI and WHtR, and lastly the BRI. All these anthropometric indices had outstanding discriminatory powers for predicting MetS with AUCs and sensitivity values above 80%. The BMI, WHtR, %BF, BRI, and CUN-BAE, had cut-off points for detection of metS in South African men at 28.25 kg/m2, 0.55, 25.29%, 4.55, and 27.10, respectively. Based on the logistic regression models abnormal BMI, WHtR, %BF, BRI, CUN-BAE, TG, FBG, systolic BP, diastolic BP and WC showed increased risk of MetS.ConclusionWhile the %BF, CUN-BAE, BMI, WC, WHtR, BRI, CI and CUN-BAE could predict MetS among South African male taxi drivers, these indices were less effective in predicting the individual MetS risk factors such as TG, BP, and FBG.

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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