Skip to main content
×
Home
    • Aa
    • Aa

Cut-off points for anthropometric indices of adiposity: differential classification in a large population of young women

  • Sarah L. Duggleby (a1) (a2), Alan A. Jackson (a2), Keith M. Godfrey (a1), Siân M. Robinson (a1) and Hazel M. Inskip (a1)...
Abstract

Anthropometric indices of adiposity include BMI, waist circumference and waist:height ratio. In the recruitment phase of a prospective cohort study carried out between 1998 and 2002 we studied a population sample of 11 786 white Caucasian non-pregnant women in Southampton, UK aged 20–34 years, and explored the extent to which proposed cut-off points for the three indices identified the same or different women and how these indices related to adiposity. Height, weight and waist circumference were measured and fat mass was estimated from skinfold thicknesses; fat mass index was calculated as fat mass/height1·65. Of the subjects, 4869 (42 %) women were overweight (BMI ≥ 25 kg/m2) and 1849 (16 %) were obese (BMI ≥ 30 kg/m2). A total of 890 (8 %) subjects were not overweight but had a waist circumference ≥ 80 cm and 748 (6 %) subjects were overweight but had a waist circumference < 80 cm (6 %). Of the women, 50 % had a BMI ≥ 25 kg/m2 or a waist circumference ≥ 80 cm or a waist:height ratio ≥ 0·5. Of the variation in fat mass index, 85 % was explained by BMI, 76 % by waist circumference and 75 % by waist:height ratio. Our findings demonstrate that many women are differentially classified depending on which index of adiposity is used. As each index captures different aspects of size in terms of adiposity, there is the need to determine how the three indices relate to function and how they can be of use in defining risk of ill health in women.

  • View HTML
    • Send article to Kindle

      To send this article to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle.

      Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

      Find out more about the Kindle Personal Document Service.

      Cut-off points for anthropometric indices of adiposity: differential classification in a large population of young women
      Available formats
      ×
      Send article to Dropbox

      To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your Dropbox account. Find out more about sending content to Dropbox.

      Cut-off points for anthropometric indices of adiposity: differential classification in a large population of young women
      Available formats
      ×
      Send article to Google Drive

      To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your Google Drive account. Find out more about sending content to Google Drive.

      Cut-off points for anthropometric indices of adiposity: differential classification in a large population of young women
      Available formats
      ×
Copyright
Corresponding author
*Corresponding author: Professor H. M. Inskip, fax +44 23 8070 4021, email hmi@mrc.soton.ac.uk
Linked references
Hide All

This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.

1D Haslam , N Sattar & M Lean (2006) Obesity – time to wake up. BMJ 333, 640642.

3N Heslehurst , R Lang , J Rankin , JR Wilkinson & CD Summerbell (2007) Obesity in pregnancy: a study of the impact of maternal obesity on NHS maternity services. Br J Obstet Gynaecol 114, 334342.

4N Sattar , PH Clark , MEJ Lean , I Walker & IA Greer (2001) Antenatal waist circumference and hypertension risk. Obstet Gynecol 97, 268271.

5K Duckitt & D Harrington (2005) Risk factors for pre-eclampsia at antenatal booking: systematic review of controlled studies. BMJ 330, 565.

6TE O'Brien , JG Ray & WS Chan (2003) Maternal body mass index and risk of preeclampsia: a systematic review. Epidemiology 14, 368374.

7PM Catalano & HM Ehrenberg (2006) The short- and long-term implications of maternal obesity on the mother and her offspring. BJOG 113, 11261133.

8JC King (2006) Maternal obesity, metabolism and pregnancy outcome. Ann Rev Nutr 26, 271291.

9HA Abenhaim , RA Kinch , L Morin , A Benjamin & R Usher (2007) Effect of prepregnancy body mass index categories on obstetrical and neonatal outcomes. Arch Gynecol Obstet 275, 3943.

10MF Sewell , L Huston-Presley , DM Super & P Catalano (2006) Increased neonatal fat mass, no lean body mass, is associated with maternal obesity. Am J Obstet Gynecol 195, 11001103.

11CR Gale , MK Javaid , SM Robinson , CM Law , KM Godfrey & C Cooper (2007) Maternal size in pregnancy and body composition in children. J Clin Endocrinol Metab 92, 39043911.

12KM Flegal , BI Graubard , DF Williamson & MH Gail (2005) Excess deaths associated with underweight, overweight, and obesity. JAMA 293, 18611867.

13MB Snijder , RM van Dam , M Visser & JC Seidell (2006) What aspects of body fat are particularly hazardous and how do we measure them? Int J Epidemiol 35, 8392.

14MEJ Lean , TS Han & CE Morrison (1995) Waist circumference as a measure for indicating need for weight management. BMJ 311, 158161.

15TS Han , N Sattar & M Lean (2006) Assessment of obesity and its clinical implications. BMJ 333, 695698.

16M Ashwell & SD Hsieh (2005) Six reasons why the waist-to-height ratio is a rapid and effective global indicator for health risks of obesity and how its use could simplify the international public health message on obesity. Int J Food Sci Nutr 56, 303307.

17M Ashwell , TJ Cole & AK Dixon (1996) Ratio of waist circumference to height is strong predictor of intra-abdominal fat. BMJ 313, 559560.

18BD Cox & MJ Whichelow (1996) Ratio of waist circumference to height is better predictor of death than body mass index. BMJ 313, 1487.

19SD Hsieh , H Yoshinaga & T Muto (2003) Waist-to-height ratio, a simple and practical index for assessing central fat distribution and metabolic risk in Japanese men and women. Int J Obes Relat Metab Disord 27, 610616.

20HM Inskip , KM Godfrey , SM Robinson , CM Law , DJP Barker , C Cooper & SWS Study Group (2006) Cohort profile: the Southampton Women's Survey. Int J Epidemiol 35, 4248.

21F Fidanza (1991) Anthropometric methodology. In Nutritional Status Assessment, pp. 162 [F Fidanza , editor]. London: Chapman & Hall.

24P Deurenberg , M Deurenberg Yap , J Wang , FP Lin & G Schmidt (1999) The impact of body build on the relationship between body mass index and percent body fat. Int J Obes Relat Metab Disord 23, 537542.

31IE Buchan , PE Bundred , DJ Kitchiner & TJ Cole (2007) Body mass index has risen more steeply in tall than in short 3-year olds: serial cross-sectional surveys 1988–2003. Int J Obes (Lond) 31, 2329.

32TS Han , JC Seidell , JEP Currall , CE Morrison , P Deurenberg & MEJ Lean (1997) The influences of height and age on waist circumference as an index of adiposity in adults. Int J Obes Relat Metab Disord 21, 8389.

34L Lissner , C Bjorkelund , BL Heitmann , L Lapidus , P Bjorntorp & C Bengtsson (1998) Secular increases in waist–hip ratio among Swedish women. Int J Obes Relat Metab Disord 22, 11161120.

35HD McCarthy , SM Ellis & TJ Cole (2003) Central overweight and obesity in British youth aged 11–16 years: cross sectional surveys of waist circumference. BMJ 326, 624.

36S Yusuf , S Hawken , S Ounpuu , (2005) Obesity and the risk of myocardial infarction in 27 000 participants from 52 countries: a case–control study. Lancet 366, 16401649.

38VJ Carey , EE Walters , GA Colditz , CG Solomon , WC Willett , BA Rosner , FE Speizer & JE Manson (1997) Body fat distribution and risk of non-insulin-dependent diabetes mellitus in women. The Nurses' Health Study. Am J Epidemiol 145, 614619.

40D Canoy , R Luben , A Welch , S Bingham , N Wareham , N Day & KT Khaw (2004) Fat distribution, body mass index and blood pressure in 22 090 men and women in the Norfolk cohort of the European Prospective Investigation into Cancer and Nutrition (EPIC-Norfolk) study. J Hypertens 22, 20672074.

41AD Woolf , FC Breedveld & TK Kvien (2006) Controlling the obesity epidemic is important for maintaining musculoskeletal health. Ann Rheum Dis 65, 14011402.

Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

British Journal of Nutrition
  • ISSN: 0007-1145
  • EISSN: 1475-2662
  • URL: /core/journals/british-journal-of-nutrition
Please enter your name
Please enter a valid email address
Who would you like to send this to? *
×

Keywords: