Assessment of Anthropometric Indices for Optimal Cut-Offs for Obesity Screening in a South African Adolescent Population

Engwa, Godwill Azeh; Schmid‐Zalaudek, Karin; Chungag, Anye; Letswalo, Boitumelo Prescilla; Anye, Paul Chungag; Mungamba, Muhau Muhulo; Sewani-Rusike, Constance R; Goswami, Nandu; Nkeh-Chungag, Benedicta N.

doi:10.3390/biology10111118

Cited by 2 publications

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“…As such, this variation may affect the ability of these obesity screening tools to predict the diagnosis of hypertension across various ethnic populations. Based on the established obesity cut-off values for pBMI and WHtR in our previous report [ 21 ], which were lower than the recommend references by CDC and WHO, we hypothesized that they may predict hypertension differently. As such, we investigated the relationship of blood pressure and obesity defined by anthropometric cut-off values.…”

Section: Discussionmentioning

confidence: 99%

“…The prevalence of hypertension was calculated as (presence of hypertension/total population) × 100. Predicted obesity was defined as obesity using the new cut-off values established in our previous study [ 21 ], while observed obesity is obesity based on the WHO and the CDC reference cut-off values. Statistical Package for Social Sciences (SPSS) software (version 20, IBM SPSS Inc., 2011, Chicago, IL, USA) was used to analyse data.…”

Section: Methodsmentioning

confidence: 99%

“…In our previous study [ 21 ], we established new cut-off values for obesity screening in adolescents in a South African population. Our findings, based on ROC analysis, showed that BMI percentile (pBMI%) and WHtR were the most suitable measures for obesity screening in adolescents.…”

Section: Introductionmentioning

confidence: 99%

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Assessment of the Performance of Obesity Measures in the Screening of Hypertension in a South African Adolescent Population

Engwa,

Anye,

Goswami

et al. 2023

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Obesity is known to be one of the most significant risk factors for essential hypertension in childhood. However, whether obesity cut-offs may predict hypertension screening in adolescents remains controversial. This study investigated the performance of obesity cut-off values for the screening of hypertension in a South African adolescent population. In this cross-sectional study, 1144 adolescents aged between 11 and 17 years were recruited from the Eastern Cape Province of South Africa. Anthropometric and blood pressure (BP) parameters including diastolic blood pressure (DBP), systolic blood pressure (SBP), and heart rate (HR) were measured. Assessment of the sensitivity and specific of obesity cut-off values in predicting hypertension was performed using receiver operating characteristic (ROC) analysis. Obesity was positively associated (p < 0.01) with hypertension. Obese individuals, based on the predicted obesity using BMI percentile cut-off (pBMI85.2%), were more likely to develop hypertension (odds ratio: 2.070; p < 0.001) than their counterparts based on the observed obesity cut-off (pBMI95%) (Odd ratio: 1.748 p = 0.004). The area under the curve (AUC) of BMI percentile and WHtR for screening SBP percentile, and DBP percentile and HR as per ROC analysis, was low (<0.65). Equally, the sensitivity and specificity were low (<0.6) for all BP measures (SBP, DBP, and HR). Furthermore, the cut-off values for blood pressure measures, as established by ROC analysis using anthropometric measures, were far below the recommended cut-off values for hypertension screening. The obesity cut-offs for BMI percentile and WHtR established in this populations showed poor performance in diagnosing hypertension even though they were strong predictors of hypertension.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%