Abstract
Background: A Body Shape Index (ABSI) and the Body Adiposity Index (BAI) are used to quantify body shape for adults. However, only a few studies have been conducted confirming whether ABSI or BAI is a better index for predicating hypertension and pre-hypertension in Chinese children and adolescents. Aim: To estimate scaling exponents for using ABSI with Chinese children and adolescents, comparing body shape indices used for predicting hypertension and pre-hypertension and determine which obesity indices can serve as predictors. Subjects and methods: Data from children and adolescents aged 7–17 years in the 2011 Chinese Health and Nutrition Survey were analysed. Partial correlation analysis and receiver operating characteristics analysis were applied. Results: The area under curve (AUC) values for all the predictors are better for differentiating hypertension than pre-hypertension. Body Mass Index (BMI) gave the largest AUC in both children and adolescents. ABSI and ABSI-(C) (ABSI for Chinese children and adolescents) were unable to differentiate hypertension or pre-hypertension in the population. BAI could only differentiate pre-hypertension in girls aged 7–12 years (AUC = 0.353, p < 0.05). Conclusion: ABSI, ABSI-(C) and BAI are not more associated with hypertension or pre-hypertension than BMI, waist circumference and waist-to-height ratio in Chinese children and adolescents.
| Original language | English |
|---|---|
| Pages (from-to) | 460-466 |
| Number of pages | 7 |
| Journal | Annals of human biology |
| Volume | 46 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 2019 Aug 18 |
Bibliographical note
Funding Information:The authors used data from the CHNS. The authors are grateful to the National Institute for Nutrition and Health; China Centre for Disease Control and Prevention; Carolina Population Centre (P2C HD050924, T32 HD007168); the University of North Carolina at Chapel Hill; the NIH (R01-HD30880, DK056350, R24 HD050924 and R01-HD38700); and the NIH Fogarty International Centre (D43 TW009077, D43 TW007709) for the financial support for the CHNS data collection and analysis of files from 1989 to 2015 and future surveys; the China–Japan Friendship Hospital, Ministry of Health for support for CHNS 2009; Chinese National Human Genome Centre at Shanghai since 2009; and Beijing Municipal Centre for Disease Prevention and Control since 2011.
Funding Information:
This work was supported by the National Research Foundation of Korea under Grant [2019R1A2C1003259]. The authors used data from the CHNS. The authors are grateful to the National Institute for Nutrition and Health; China Centre for Disease Control and Prevention; Carolina Population Centre (P2C HD050924, T32 HD007168); the University of North Carolina at Chapel Hill; the NIH (R01-HD30880, DK056350, R24 HD050924 and R01-HD38700); and the NIH Fogarty International Centre (D43 TW009077, D43 TW007709) for the financial support for the CHNS data collection and analysis of files from 1989 to 2015 and future surveys; the China–Japan Friendship Hospital, Ministry of Health for support for CHNS 2009; Chinese National Human Genome Centre at Shanghai since 2009; and Beijing Municipal Centre for Disease Prevention and Control since 2011.
Publisher Copyright:
© 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group.
All Science Journal Classification (ASJC) codes
- Epidemiology
- Physiology
- Ageing
- Genetics
- Public Health, Environmental and Occupational Health
