"A Body Shape Index" in Middle-age and Older Indonesian Population: Scaling Exponents and Association with Incident Hypertension

Overview

Journal PLoS One

Specialties General Medicine
Science

Date 2014 Jan 24

PMID 24454862

Citations 49

Authors

Yin Bun Cheung

Affiliations

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Abstract

Background: "A Body Shape Index" (ABSI) is a recently proposed index that standardizes waist circumference for body mass index (BMI) and height. This study aims to: (a) examine if the ABSI scaling exponents for standardizing waist circumference for BMI and height are valid in middle-aged and older Indonesian population, and (b) compare the association between incident hypertension and ABSI and other anthropometric measures.

Methods And Findings: The Indonesian Family Life Survey Wave 3 measured anthropometric variables and blood pressure of 8255 adults aged between 40 to 85 years in 2000. The relationship between two anthropometric quantities, e.g. weight (w) and height (h), can be expressed as the power law-equivalent [Formula: see text], where p = 2 is the scaling exponent in the derivation of the BMI and can be estimated by linear regression analysis. This was extended to the regression analysis of the log-transformed waist circumference, weight and height to establish the scaling exponents in the ABSI. The values for men were similar to those developed by the previous American study, which were 2/3 (BMI) and 1/2 (height). Those for women were somewhat smaller, at 3/5 (BMI) and 1/5 (height). The original (American) ABSI leads to mild negative correlation with BMI (-0.14) and height (-0.12) in the female population. Analysis of the development of hypertension between Waves 3 and 4 (average interval 7.5 years) in relation to ABSI measured at Wave 3 showed stronger association if the locally derived (Indonesian) scaling exponents were used. However, both versions of the ABSI were less associated with incident hypertension than waist circumference and BMI.

Conclusions: The values for the scaling exponents for ABSI are roughly similar between the American population and the middle-aged and older Indonesian population, although larger discrepancy was found in women. The ABSI is less associated with incident hypertension than waist circumference and BMI.

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References

. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet. 2004; 363(9403):157-63. DOI: 10.1016/S0140-6736(03)15268-3. View

Duncan M, Mota J, Vale S, Santos M, Ribeiro J . Associations between body mass index, waist circumference and body shape index with resting blood pressure in Portuguese adolescents. Ann Hum Biol. 2013; 40(2):163-7. DOI: 10.3109/03014460.2012.752861. View

He S, Chen X . Could the new body shape index predict the new onset of diabetes mellitus in the Chinese population?. PLoS One. 2013; 8(1):e50573. PMC: 3559745. DOI: 10.1371/journal.pone.0050573. View

Ostchega Y, Hughes J, Terry A, Fakhouri T, Miller I . Abdominal obesity, body mass index, and hypertension in US adults: NHANES 2007-2010. Am J Hypertens. 2012; 25(12):1271-8. PMC: 9745582. DOI: 10.1038/ajh.2012.120. View

Gardner K, Bird J, Canning P, Frizzell L, Smith L . Prevalence of overweight, obesity and underweight among 5-year-old children in Saint Lucia by three methods of classification and a comparison with historical rates. Child Care Health Dev. 2010; 37(1):143-9. DOI: 10.1111/j.1365-2214.2010.01154.x. View

Nguyen T, Adair L, Suchindran C, He K, Popkin B . The association between body mass index and hypertension is different between East and Southeast Asians. Am J Clin Nutr. 2009; 89(6):1905-12. PMC: 2714374. DOI: 10.3945/ajcn.2008.26809. View

Benn R . Some mathematical properties of weight-for-height indices used as measures of adiposity. Br J Prev Soc Med. 1971; 25(1):42-50. PMC: 478629. DOI: 10.1136/jech.25.1.42. View

Krakauer N, Krakauer J . A new body shape index predicts mortality hazard independently of body mass index. PLoS One. 2012; 7(7):e39504. PMC: 3399847. DOI: 10.1371/journal.pone.0039504. View

DeLong E, Delong D, Clarke-Pearson D . Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988; 44(3):837-45. View

10.

Doak C, Adair L, Bentley M, Monteiro C, Popkin B . The dual burden household and the nutrition transition paradox. Int J Obes (Lond). 2004; 29(1):129-36. DOI: 10.1038/sj.ijo.0802824. View

11.

Dagenais G, Auger P, Bogaty P, Gerstein H, Lonn E, Yi Q . Increased occurrence of diabetes in people with ischemic cardiovascular disease and general and abdominal obesity. Can J Cardiol. 2003; 19(12):1387-91. View

12.

Cole T, Henson G, Tremble J, Colley N . Birthweight for length: ponderal index, body mass index or Benn index?. Ann Hum Biol. 1997; 24(4):289-98. DOI: 10.1080/03014469700005032. View

13.

Kang S, Yoon J, Ahn H, Kim S, Lee K, Shin H . Android fat depot is more closely associated with metabolic syndrome than abdominal visceral fat in elderly people. PLoS One. 2011; 6(11):e27694. PMC: 3214067. DOI: 10.1371/journal.pone.0027694. View

14.

Nyamdorj R, Qiao Q, Soderberg S, Pitkaniemi J, Zimmet P, Shaw J . Comparison of body mass index with waist circumference, waist-to-hip ratio, and waist-to-stature ratio as a predictor of hypertension incidence in Mauritius. J Hypertens. 2008; 26(5):866-70. DOI: 10.1097/HJH.0b013e3282f624b7. View

15.

Lin S, Cheng T, Liu X, Mai J, Rao X, Gao X . Impact of dysglycemia, body mass index, and waist-to-hip ratio on the prevalence of systemic hypertension in a lean Chinese population. Am J Cardiol. 2006; 97(6):839-42. DOI: 10.1016/j.amjcard.2005.09.133. View

16.

Yusuf S, Hawken S, Ounpuu S, Bautista L, Franzosi M, Commerford P . Obesity and the risk of myocardial infarction in 27,000 participants from 52 countries: a case-control study. Lancet. 2005; 366(9497):1640-9. DOI: 10.1016/S0140-6736(05)67663-5. View

17.

Qin L, Corpeleijn E, Jiang C, Neil Thomas G, Schooling C, Zhang W . Physical activity, adiposity, and diabetes risk in middle-aged and older Chinese population: the Guangzhou Biobank Cohort Study. Diabetes Care. 2010; 33(11):2342-8. PMC: 2963492. DOI: 10.2337/dc10-0369. View

18.

Deng W, Wang J, Liu M, Wang D, Zhao Y, Liu Y . Body mass index compared with abdominal obesity indicators in relation to prehypertension and hypertension in adults: the CHPSNE study. Am J Hypertens. 2013; 26(1):58-67. DOI: 10.1093/ajh/hps001. View