Background: The proposed waist-to-height ratio (WHtR) cut-off of 0.5 is less optimal for cardiometabolic risk screening in children in many settings. The purpose of this study was to determine the optimal WHtR for children from South Africa, and investigate variations by gender, ethnicity and residence in the achieved value.
Methods: Metabolic syndrome (MetS) components were measured in 1272 randomly selected learners, aged 10-16 years, comprising of 446 black Africans, 696 mixed-ancestry and 130 Caucasians. The Youden's index and the closest-top-left (CTL) point approaches were used to derive WHtR cut-offs for diagnosing any two MetS components, excluding the waist circumference.
Results: The two approaches yielded similar cut-off in girls, 0.465 (sensitivity 50.0, specificity 69.5), but two different values in boys, 0.455 (42.9, 88.4) and 0.425 (60.3, 67.7) based on the Youden's index and the CTL point, respectively. Furthermore, WHtR cut-off values derived differed substantially amongst the regions and ethnic groups investigated, whereby the highest cut-off was observed in semi-rural and white children, respectively, Youden's index0.505 (31.6, 87.1) and CTL point 0.475 (44.4, 75.9).
Conclusion: The WHtR cut-off of 0.5 is less accurate for screening cardiovascular risk in South African children. The optimal value in this setting is likely gender and ethnicity-specific and sensitive to urbanization.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3742786 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0071133 | PLOS |
Front Endocrinol (Lausanne)
December 2024
First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China.
Objective: This study aimed to explore the role of the waist-to-height ratio (WHtR) in assessing insulin resistance (IR) in patients with polycystic ovary syndrome (PCOS).
Materials And Methods: We enrolled 882 PCOS-afflicted women in a cross-sectional analysis to evaluate the association of the WHtR with IR. Their demographic characteristics, anthropometric parameters, and fasting blood samples were collected and measured.
J Health Popul Nutr
November 2024
College of Health Sciences, School of Public Health, Department of Preventive Medicine, Addis Ababa University, Addis Ababa, Ethiopia.
Background: Central and general obesity are commonly measured using tools like waist circumference (WC), hip circumference (HC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR). However, the universally recognized cutoffs for these measures may be inadequate for individuals of Ethiopian descent. Due to the lack of universally applicable cutoffs, studies recommend tailoring the optimal screening thresholds to each population's specific characteristics.
View Article and Find Full Text PDFCurr Probl Cardiol
January 2025
Department of Nursing, Faculty of Health Sciences, University of Granada (UGR), Av. Ilustración, 60, Granada 18016, Spain; Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain. Electronic address:
Background And Aims: There is some evidence that anthropometric measurements can be associated with the risk of type 2 diabetes mellitus (T2DM). Nevertheless, there is no comprehensive consensus on which anthropometric index is the best for evaluating the risk and predicting T2DM, especially in older adults. For this reason, we compared the performance of six indices for detecting T2DM in a population of Colombian older adults.
View Article and Find Full Text PDFBMC Endocr Disord
October 2024
Suzhou Research Center of Medical School, Suzhou Hospital, Affiliated Hospital of Medical School, Nanjing University, Suzhou, China.
Background: This study aimed to compare the diagnostic accuracy of four indicators, including waist-to-height ratio (WHTR), vascular adiposity index (VAI), TG/HDL-C, and BMI/HDL-C for metabolic syndrome (MS) in Chinese adults aged 40 years and above. Additionally, the study aimed to develop an efficient diagnostic model displayed by a nomogram based on individual's BMI and circulating HDL-C level.
Methods: A cross-sectional study was conducted on 699 participants aged 40 years and above.
Diabetes Res Clin Pract
November 2024
Department of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan.
Aims: To compare the predictive abilities of body mass index (BMI), waist circumference (WC), waist-corrected BMI (wBMI), a body shape index (ABSI), and waist-to-height ratio (WHtR) for the incidence of type 2 diabetes and determine the practical cut-off values for the Japanese population.
Methods: This study used data from 155,623 participants who had medical checkups with Panasonic Corporation between 2008 and 2021. Predictive abilities of anthropometric indices were evaluated at 13 years using time-dependent receiver operating characteristic (ROC) curve analyses.
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