Prediction of high visceral adipose tissue for sex-specific community residents in Taiwan.

IF 2.1 3区 医学 Q2 NURSING
Yu-Hsuan Chang, Chin-Sung Chang, Chieh-Yu Liu, Yin-Fan Chang, Shiow-Ching Shun
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引用次数: 0

Abstract

Visceral adipose tissue accumulation is strongly linked with numerous chronic diseases; however, the accessibility for visceral adipose tissue measurement is limited. This study employed a cross-sectional design to determine the optimal strongest predictor of high visceral adipose tissue in each sex and identified the optimal cutoff value thereof. Purposive sampling was used to recruit 94 men and 326 women aged ≥40 years in southern Taiwan. Receiver operating characteristic curve analysis was used to explore the optimal predictor of high visceral adipose tissue (defined as ≥135 cm2 for men and ≥100 cm2 for women) in each sex. The waist-to-hip ratio was the strongest predictor for men, with a cutoff value of 0.96 yielding the maximum sensitivity (94.29%) and specificity (93.22%). By contrast, body mass index was the strongest predictor for women, with a cutoff value of 25.45 kg/m2 yielding the maximum sensitivity (87.18%) and specificity (87.55%). The results may serve as a reference for health policy-makers in screening for high visceral adipose tissue to identify individuals at high risk of developing chronic diseases for health promotion.

台湾特定性别社区居民内脏脂肪组织高的预测。
内脏脂肪组织的积累与多种慢性疾病密切相关;然而,内脏脂肪组织测量的可及性却很有限。本研究采用横断面设计,以确定男女内脏脂肪组织含量高的最佳预测因子,并确定其最佳临界值。研究采用有目的的抽样方法,在台湾南部招募了 94 名男性和 326 名女性,年龄≥40 岁。采用接收者操作特征曲线分析来探索男女内脏脂肪组织高(男性定义为≥135 cm2,女性定义为≥100 cm2)的最佳预测指标。对男性而言,腰臀比是最强的预测指标,0.96 的临界值具有最高的灵敏度(94.29%)和特异性(93.22%)。相比之下,体重指数对女性的预测作用最强,25.45 kg/m2 的临界值可产生最高的灵敏度(87.18%)和特异性(87.55%)。研究结果可作为卫生政策制定者筛查高内脏脂肪组织的参考,以识别慢性病高风险人群,促进健康。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.80
自引率
3.70%
发文量
91
审稿时长
6-12 weeks
期刊介绍: NHS has a multidisciplinary focus and broad scope and a particular focus on the translation of research into clinical practice, inter-disciplinary and multidisciplinary work, primary health care, health promotion, health education, management of communicable and non-communicable diseases, implementation of technological innovations and inclusive multicultural approaches to health services and care.
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