Jelinek Herbert F, Stranieri Andrew, Yatsko Andrew, Venkatraman Sitalakshmi
Charles Sturt University, Australia.
Federation University, Australia.
Digit Health. 2019 Apr 12;5:2055207619844362. doi: 10.1177/2055207619844362. eCollection 2019 Jan-Dec.
The aim of the current study is to generate waist circumference to height ratio cut-off values for obesity categories from a model of the relationship between body mass index and waist circumference to height ratio. We compare the waist circumference to height ratio discovered in this way with cut-off values currently prevalent in practice that were originally derived using pragmatic criteria.
Personalized data including age, gender, height, weight, waist circumference and presence of diabetes, hypertension and cardiovascular disease for 847 participants over eight years were assembled from participants attending a rural Australian health review clinic (DiabHealth). Obesity was classified based on the conventional body mass index measure (weight/height) and compared to the waist circumference to height ratio. Correlations between the measures were evaluated on the screening data, and independently on data from the National Health and Nutrition Examination Survey that included age categories.
This article recommends waist circumference to height ratio cut-off values based on an Australian rural sample and verified using the National Health and Nutrition Examination Survey database that facilitates the classification of obesity in clinical practice. Gender independent cut-off values are provided for waist circumference to height ratio that identify healthy (waist circumference to height ratio ≥0.45), overweight (0.53) and the three obese (0.60, 0.68, 0.75) categories verified on the National Health and Nutrition Examination Survey dataset. A strong linearity between the waist circumference to height ratio and the body mass index measure is demonstrated.
The recommended waist circumference to height ratio cut-off values provided a useful index for assessing stages of obesity and risk of chronic disease for improved healthcare in clinical practice.
本研究旨在通过体重指数与腰围身高比之间关系的模型，得出肥胖类别对应的腰围身高比截断值。我们将通过这种方式得出的腰围身高比与目前实际中普遍使用的、最初根据实用标准得出的截断值进行比较。
从澳大利亚一家农村健康检查诊所（糖尿病健康诊所）的847名参与者中收集了他们八年来的个性化数据，包括年龄、性别、身高、体重、腰围以及糖尿病、高血压和心血管疾病的患病情况。根据传统的体重指数测量方法（体重/身高）对肥胖进行分类，并与腰围身高比进行比较。在筛查数据上评估这些测量指标之间的相关性，并独立地在包含不同年龄组的美国国家健康和营养检查调查数据上进行评估。
本文基于澳大利亚农村样本推荐了腰围身高比截断值，并使用美国国家健康和营养检查调查数据库进行了验证，这有助于在临床实践中对肥胖进行分类。提供了性别无关的腰围身高比截断值，这些截断值确定了在国家健康和营养检查调查数据集上得到验证的健康（腰围身高比≥0.45）、超重（0.53）和三种肥胖（0.60、0.68、0.75）类别。腰围身高比与体重指数测量之间呈现出很强的线性关系。
推荐的腰围身高比截断值为评估肥胖阶段和慢性病风险提供了一个有用的指标，有助于改善临床实践中的医疗保健。
