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

Author:

Chang Yu‐Hsuan1ORCID,Chang Chin‐Sung2,Liu Chieh‐Yu3,Chang Yin‐Fan2,Shun Shiow‐Ching4ORCID

Affiliation:

1. Department of Nursing National Tainan Junior College of Nursing Tainan Taiwan

2. Department of Family Medicine, National Cheng Kung University Hospital, College of Medicine National Cheng Kung University Tainan Taiwan

3. Department of Health Care Management National Taipei University of Nursing and Health Sciences Taipei Taiwan

4. Institute of Clinical Nursing, College of Nursing National Yang Ming Chiao Tung University Taipei Taiwan

Abstract

AbstractVisceral 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.

Funder

National Tainan Junior College of Nursing

National Cheng Kung University Hospital

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3