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Changes in BMI and waist circumference in Scottish adults: use of repeated cross-sectional surveys to explore multiple age groups and birth-cohorts

Abstract

Objective:

To document changes in body mass index (BMI) and waist circumference (WC) over a 10-year period 1998–2008, in representative surveys of adults.

Subjects:

Adults aged 18–72 in the Scottish Health Surveys conducted in 1998, 2003 and 2008 were divided, separately for men and women, into eleven 5-year age bands. ‘Synthetic birth-cohorts’ were created by dividing participants into thirteen 5-years-of-birth bands (n=20 423). Weight, height and WC were objectively measured by trained observers.

Results:

Subjects with data available on BMI/WC were 7743/6894 in 1998, 5838/4437 in 2003 and 4688/925 in 2008 with approximately equal gender distributions. Mean BMI and waist were both greater in successive surveys in both men and women. At most specific ages, people were consistently heavier in 2008 than in 1998 by about 1–1.5 BMI units, and WCs were greater by about 2–6 cm in men and 5–7 cm in women. Greater increases were seen at younger ages between 1998 and 2003 than between 2003 and 2008, however increases continued at older ages, particularly in waist. All birth-cohorts observed over the 10 years 1998–2008 showed increases in both BMI and waist, most marked in the younger groups. The 10-year increases in waist within birth-cohorts (mean 7.4 cm (8.1%) in men and 8.6 cm (10.9%) in women) were more striking than in BMI (mean 1.8 kg m−2 (6.6%) in men and 1.5 kg m−2 (6.4%) in women) were particularly steep in older women.

Conclusion:

People were heavier and fatter in 2003 than those of the same age in 1998, with less marked increases in WC between 2003 and 2008 than between 1998 and 2003. There were proportionally greater increases in WC than in BMI, especially in older women. This suggests a disproportionate increase in body fat, compared with muscle, particularly among older women.

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References

  1. Management of Obesity – A National Clinical Guideline No 115. Scottish Intercollegiate Guidelines Network. 2010., http://www.sign.ac.uk/pdf/sign115.pdf (accessed March 2010).

  2. WHO. Obesity Fact Sheet No 311. World Health Organisation: Geneva, 2006.

  3. Lean ME, Han TS, Deurenberg P . Predicting body composition by densitometry from simple anthropometric measurements. Am J Clin Nutr 1996; 63: 4–14.

    Article  CAS  Google Scholar 

  4. Lean ME, Han TS, Seidell JC . Impairment of health and quality of life in people with large waist circumference. Lancet 1998; 351: 853–856.

    Article  CAS  Google Scholar 

  5. WHO. Obesity: Preventing and Managing the Global Epidemic. World Health Organisation: Geneva, 2000.

  6. Peeters A, Barendregt JJ, Willekens F, Mackenbach JP, Al Mamun A, Bonneux L . Obesity in adulthood and its consequences for life expectancy: a life-table analysis. Ann Intern Med 2003; 138: 24–32.

    Article  Google Scholar 

  7. Withrow D, Alter DA . The economic burden of obesity worldwide: a systematic review of the direct costs of obesity. Obes Rev 2011; 12: 131–141.

    Article  CAS  Google Scholar 

  8. Lean M, Tigbe W, Briggs A . A patient-centred approach to estimate total annual healthcare costs by BMI in the UK Counterweight Programme (abstract). Obes Reviews 2011; 12: 105.

    Article  Google Scholar 

  9. www.counterweight.org 2012. (accessed March 2010).

  10. Kelly T, Yang W, Chen CS, Reynolds K, He J . Global burden of obesity in 2005 and projections to 2030. Int J Obes 2008; 32: 1431–1437.

    Article  CAS  Google Scholar 

  11. Flegal KM, Carroll MD, Ogden CL, Curtin LR . Prevalence and trends in obesity among US adults, 1999-2008. JAMA 2010; 303: 235–241.

    Article  CAS  Google Scholar 

  12. Scottish Health Survey: The Scottish Government Statistics 2008, http://www.scotland.gov.uk/Topics/Statistics/16002 (accessed August 2012).

  13. Whitlock G, Lewington S, Sherliker P, Clarke R, Emberson J, Halsey J et al. Body-mass index and cause-specific mortality in 900 000 adults: collaborative analyses of 57 prospective studies. Lancet 2009; 373: 1083–1096.

    Article  Google Scholar 

  14. Stevens J, Katz EG, Huxley RR . Associations between gender, age and waist circumference. Eur J Clin Nutr 2010; 64: 6–15.

    Article  CAS  Google Scholar 

  15. Rennie KL, Jebb SA . Prevalence of obesity in Great Britain. Obes Rev 2005; 6: 11–12.

    Article  CAS  Google Scholar 

  16. Berghofer A, Pischon T, Reinhold T, Apovian CM, Sharma AM, Willich SN . Obesity prevalence from a European perspective: a systematic review. BMC Public Health 2008; 8: 200.

    Article  Google Scholar 

  17. Juhaeri Stevens J, Jones DW, Arnett D . Associations of aging and birth-cohort with body mass index in a biethnic cohort. Obes Res 2003; 11: 426–433.

    Article  CAS  Google Scholar 

  18. Kahn HS, Cheng YJ . Longitudinal changes in BMI and in an index estimating excess lipids among white and black adults in the United States. Int J Obes 2008; 32: 136–143.

    Article  CAS  Google Scholar 

  19. Jacobsen BK, Njolstad I, Thune I, Wilsgaard T, Lochen ML, Schirmer H . Increase in weight in all birth-cohorts in a general population: The Tromso Study, 1974-1994. Arch Intern Med 2001; 161: 466–472.

    Article  CAS  Google Scholar 

  20. Lahti-Koski M, Jousilahti P, Pietinen P . Secular trends in body mass index by birth-cohort in eastern Finland from 1972 to 1997. Int J Obes Relat Metab Disord 2001; 25: 727–734.

    Article  CAS  Google Scholar 

  21. Allman-Farinelli MA, Chey T, Bauman AE, Gill T, James WP . Age, period and birth-cohort effects on prevalence of overweight and obesity in Australian adults from 1990 to 2000. Eur J Clin Nutr 2008; 62: 898–907.

    Article  CAS  Google Scholar 

  22. Howel D . Trends in the prevalence of obesity and overweight in English adults by age and birth-cohorts, 1991-2006. Public Health Nutr 2011; 14: 27–33.

    Article  Google Scholar 

  23. Walls HL, Stevenson CE, Mannan HR, Abdullah A, Reid CM, McNeil JJ et al. Comparing trends in BMI and waist circumference. Obesity 2011; 19: 216–219.

    Article  Google Scholar 

  24. Dalton M, Cameron AJ, Zimmet PZ, Shaw JE, Jolley D, Dunstan DW et al. Waist circumference, waist-hip ratio and body mass index and their correlation with cardiovascular disease risk factors in Australian adults. J Intern Med 2003; 254: 555–563.

    Article  CAS  Google Scholar 

  25. Zhu S, Heshka S, Wang Z, Shen W, Allison DB, Ross R et al. Combination of BMI and waist circumference for identifying cardiovascular risk factors in Whites. Obes Res 2004; 12: 633–645.

    Article  Google Scholar 

  26. Vazquez G, Duval S, Jacobs DR, Silventoinen K . Comparison of body mass index, waist circumference, and waist/hip ratio in predicting incident diabetes: a meta-analysis. Epidemiol Rev 2007; 29: 115–128.

    Article  Google Scholar 

  27. SHS. 2010b. SHeS 2008 – Data documentation (user guide/variable list). http://www.esds.ac.uk/doc/6383/mrdoc/pdf/6383data_documents.pdf (2008–accessed August 2012). http://www.esds.ac.uk/doc/6987/mrdoc/pdf/6987_shes10datadocumentation.pdf (2010b–accessed August 2012).

  28. SHS. 2010a. Scottish Health Survey Publications: The Scottish Government http://www.scotland.gov.uk/Publications/2011/09/22144303/0 (accessed August 2012).

  29. Wardle J, Boniface D . Changes in the distributions of body mass index and waist circumference in English adults, 1993/1994 to 2002/2003. Int J Obes 2008; 32: 527–532.

    Article  CAS  Google Scholar 

  30. Guallar-Castillon P, Sagardui-Villamor J, Banegas JR, Graciani A, Fornes NS, Lopez Garcia E et al. Waist circumference as a predictor of disability among older adults. Obesity 2007; 15: 233–244.

    Article  Google Scholar 

  31. Lissner L, Sjoberg A, Schutze M, Lapidus L, Hulthen L, Bjorkelund C . Diet, obesity and obesogenic trends in two generations of Swedish women. Eur J Nutr 2008; 47: 424–431.

    Article  Google Scholar 

  32. Han TS, McNeill G, Seidell JC, Lean ME . Predicting intra-abdominal fatness from anthropometric measures: the influence of stature. Int J Obes Relat Metab Disord 1997; 21: 587–593.

    Article  CAS  Google Scholar 

  33. Kamel EG, McNeill G, Van Wijk MC . Change in intra-abdominal adipose tissue volume during weight-loss in obese men and women: correlation between magnetic resonance imaging and anthropometric measurements. Int J Obes Relat Metab Disord 2000; 24: 607–613.

    Article  CAS  Google Scholar 

  34. Lemieux S, Prud’homme D, Tremblay A, Bouchard C, Despres JP . Anthropometric correlates to changes in visceral adipose tissue over 7 years in women. Int J Obes Relat Metab Disord 1996; 20: 618–624.

    CAS  PubMed  Google Scholar 

  35. Liese AD, Doring A, Hense H, Keil U . Five year changes in waist circumference, body mass index and obesity in Augsburg, Germany. Eur J Nutr 2001; 40: 282–288.

    Article  CAS  Google Scholar 

  36. Lilja M, Eliasson M, Stegmayr B, Olsson T, Soderberg S . Trends in obesity and its distribution: data from the Northern Sweden MONICA Survey, 1986-2004. Obesity 2008; 16: 1120–1128.

    PubMed  Google Scholar 

  37. Seidell JC . Time trends in obesity: an epidemiological perspective. Horm Metab Res 1997; 29: 155–158.

    Article  CAS  Google Scholar 

  38. Ford ES, Mokdad AH, Giles WH . Trends in waist circumference among US adults. Obes Res 2003; 11: 1223–1231.

    Article  Google Scholar 

  39. Elobeid MA, Desmond RA, Thomas O, Keith SW, Allison DB . Waist circumference values are increasing beyond those expected from BMI increases. Obesity 2007; 15: 2380–2383.

    Article  Google Scholar 

  40. Reynolds SL, Himes CL . Cohort differences in adult obesity in the United States: 1982-2002. J Aging Health 2007; 19: 831–850.

    Article  Google Scholar 

  41. Reither EN, Hauser RM, Yang Y . Do birth-cohorts matter? Age-period-cohort analyses of the obesity epidemic in the United States. Soc Sci Med 2009; 69: 1439–1448.

    Article  Google Scholar 

  42. Rosengren A, Eriksson H, Hansson PO, Svardsudd K, Wilhelmsen L, Johansson S et al. Obesity and trends in cardiovascular risk factors over 40 years in Swedish men aged 50. J Intern Med 2009; 266: 268–276.

    Article  CAS  Google Scholar 

  43. Akbartabartoori M, Lean ME, Hankey CR . Relationships between cigarette smoking, body size and body shape. Int J Obes 2005; 29: 236–243.

    Article  CAS  Google Scholar 

  44. Lewis CE, Jacobs DR, McCreath H, Kiefe CI, Schreiner PJ, Smith DE et al. Weight-gain continues in the 1990s: 10-year trends in weight and overweight from the CARDIA study. Coronary Artery Risk Development in Young Adults. Am J Epidemiol 2000; 151: 1172–1181.

    Article  CAS  Google Scholar 

  45. McLaren L . Socioeconomic status and obesity. Epidemiol Rev 2007; 29: 29–48.

    Article  Google Scholar 

  46. Sturm R . Stemming the global obesity epidemic: what can we learn from data about social and economic trends? Public Health 2008; 122: 739–746.

    Article  Google Scholar 

  47. Zhang Q, Wang Y . Trends in the association between obesity and socioeconomic status in US adults: 1971 to 2000. Obes Res 2004; 12: 1622–1632.

    Article  Google Scholar 

  48. Akbartabartoori M, Lean MEJ, Hankey CR . The associations between current recommendation for physical activity and cardiovascular risks associated with obesity. Eur J Clin Nutr 2008; 62: 1–9.

    Article  CAS  Google Scholar 

  49. Kay SJ, Fiatarone Singh MA . The influence of physical activity on abdominal fat: a systematic review of the literature. Obes Rev 2006; 7: 183–200.

    Article  CAS  Google Scholar 

  50. Seidell JC, Andres R, Sorkin JD, Muller DC . The sagittal waist diameter and mortality in men: the Baltimore Longitudinal Study on Aging. Int J Obes Relat Metab Disord 1994; 18: 61–67.

    CAS  PubMed  Google Scholar 

  51. de Koning L, Merchant AT, Pogue J, Anand SS . Waist circumference and waist-to-hip ratio as predictors of cardiovascular events: meta-regression analysis of prospective studies. Eur Heart J 2007; 28: 850–856.

    Article  Google Scholar 

  52. Yusuf S, Hawken S, Ounpuu S, Dans T, Avezum A, Lanas F et al. Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study. Lancet 2004; 364: 937–952.

    Article  Google Scholar 

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Acknowledgements

We thank Maureen McNee for her tireless secretarial efficiency in manuscript preparation.

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Correspondence to M E J Lean.

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Competing interests

MEJL has received departmental funding for unrelated research from Novo Nordisk and Cambridge Weight plan, and has received lecture fees from Eli Lilly and conference attendance paid by Novo Nordisk and Cambridge Weight Plan. The remaining authors declare no conflict of interest.

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Lean, M., Katsarou, C., McLoone, P. et al. Changes in BMI and waist circumference in Scottish adults: use of repeated cross-sectional surveys to explore multiple age groups and birth-cohorts. Int J Obes 37, 800–808 (2013). https://doi.org/10.1038/ijo.2012.122

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