Skip to main content
Log in

Longitudinal study of variation in body mass index in middle-aged UK females

  • Published:
AGE Aims and scope Submit manuscript

Abstract

The importance of changing patterns of obesity in society and its implications for public health are well recognized. However, the adult life course of body mass index (BMI) changes in individuals over time is largely unknown and has mostly been extrapolated from cross-sectional studies. The present study examines individual specific variation of BMI during a 15-year follow-up period in a community-based sample of UK females. We attempted to establish whether there is a common, generalized pattern which captures variation in BMI over time. The participants of this study belong to a prospective population cohort of British women studied intensively since 1989: the Chingford Study. The sample originally consisted of 1,003 women aged 45–68 years, who were assessed annually for BMI during follow-up period. Polynomial regression models were used to assess longitudinal BMI variation. We observed a great stability in individual BMI variation during the follow-up period, reflected by high correlations between the baseline BMI and follow-up BMI 10 and 15 years later (r = 0.876, N = 810, and r = 0.824, N = 638, respectively). We also found that three different major age-related patterns in BMI could be clearly identified: no change in 30.6% in 58% it increased and in 11.4% it decreased with age. Thus, our data suggest that individual age-related changes in BMI are very different. Therefore, simply combining all individuals into groups by any other criteria (age, sex, etc.) and overlooking the distinctive patterns of BMI change may lead to biased inferences in epidemiologic and etiologic research of the future.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  • Aires L, Mendonça D, Silva G, Gaya AR, Santos MP, Ribeiro JC et al (2010) A 3-year longitudinal analysis of changes in body mass index. Int J Sports Med 31:133–137

    Article  PubMed  CAS  Google Scholar 

  • Cameron AJ, Welborn TA, Zimmet PZ, Dunstan DW, Owen N, Salmon J et al (2003) Overweight and obesity in Australia: the 1999–2000 Australian Diabetes, Obesity and Lifestyle Study (AusDiab). Med J Aust 178:427–432

    PubMed  Google Scholar 

  • Chivers P, Hands B, Parker H (2009) Longitudinal modeling of body mass index from birth to 14 years. Obes Facts 2:302–310

    Article  PubMed  Google Scholar 

  • Diouf I, Charles MA, Ducimetière P, Basdevant A, Eschwege E, Heude B (2010) Evolution of obesity prevalence in France: an age–period–cohort analysis. Epidemiology 21:360–365

    Article  PubMed  Google Scholar 

  • Flegal KM, CarrollMD OCL, Curtin LR (2010) Prevalence and trends in obesity among US adults, 1999–2008. JAMA 303:235–241

    Article  PubMed  CAS  Google Scholar 

  • Grujic V, Dragnic N, Radic I, Harhaji S, Susnjevi S (2010) Overweight and obesity among adults in Serbia: results from the National Health Survey. Eating Weight Disord 15:e34–e42

    Google Scholar 

  • Gustafson D, Lissner L, Bengtsson C, Björkelund C, Skoog I (2004) A 24-year follow-up of body mass index and cerebral atrophy. Neurology 63:1876–1881

    Article  PubMed  CAS  Google Scholar 

  • Haslam DW, James WP (2005) Obesity. Lancet 366:1197–1209

    Article  PubMed  Google Scholar 

  • Hassett G, Hart DJ, Manek NJ, Doyle DV, Spector TD (2003) Risk factors for progression of lumbar spine disc degeneration: the Chingford Study. Arthritis Rheum 48:3112–3117

    Article  PubMed  CAS  Google Scholar 

  • International Obesity Task Force (2009) EU platform on diet, physical activity and health. EU Platform Briefing Paper. http://ec.europa.eu/health/ph_determinants/life_style/nutrition/documents/iotf_en.pdf. Accessed August 2009

  • Kvaavik E, Tell GS, Klepp KI (2003) Predictors and tracking of body mass index from adolescence into adulthood: follow-up of 18 to 20 years in the Oslo Youth Study. Arch Pediatr Adolesc Med 157:1212–1218

    Article  PubMed  Google Scholar 

  • Lavie CJ, Milani RV (2003) Obesity and cardiovascular disease: the Hippocrates paradox? J Am Coll Cardiol 42:677–679

    Article  PubMed  Google Scholar 

  • Lavie C, Milani RV, Ventura HO (2009) Obesity and cardiovascular disease risk factor, paradox, and impact of weight loss. J Am Coll Cardiol 53:1925–1932

    Article  PubMed  Google Scholar 

  • Livshits G, Yakovenko K, Ginsburg E, Kobyliansky E (1998) Genetics of human body size and shape: pleiotropic and independent genetic determinants of adiposity. Ann Hum Biol 25:221–36

    Article  PubMed  CAS  Google Scholar 

  • Livshits G, Zhai G, Hart DJ, Kato BS, Wang H, Williams FM et al (2009) Interleukin-6 is a significant predictor of radiographic knee osteoarthritis: the Chingford Study. Arthritis Rheum 60:2037–2045

    Article  PubMed  CAS  Google Scholar 

  • Mahoney LT, Lauer RM, Lee J, Clarke WR (1991) Factors affecting tracking of coronary heart disease risk factors in children. The Muscatine Study. Ann NY Acad Sci 623:120–132

    Article  PubMed  CAS  Google Scholar 

  • Manek NJ, Hart D, Spector TD, MacGregor AJ (2003) The association of body mass index and osteoarthritis of the knee joint: an examination of genetic and environmental influences. Arthritis Rheum 48:1024–1029

    Article  PubMed  Google Scholar 

  • Nooyens AC, Visscher TL, Verschuren WM, Schuit AJ, Boshuizen HC, van Mechelen W et al (2008) Age, period and cohort effects on body weight and body mass index in adults: The Doetinchem Cohort Study. Public Health Nutr 12:862–870

    Article  PubMed  Google Scholar 

  • Obesity and overweight (2010). http://www.who.int/dietphysicalactivity/publications/facts/obesity/en/

  • Ogden CL, Fryar CD, Carroll MD, Flegal KM (2004) Mean body weight, height, and body mass index, United States 1960–2002. Adv Data 27:1–17

    Google Scholar 

  • Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM (2006) Prevalence of overweight and obesity in the United States, 1999–2004. JAMA 295:1549–1555

    Article  PubMed  CAS  Google Scholar 

  • Sorkin JD, Muller DC, Andres R (1999) Longitudinal change in height of men and women: implications for interpretation of the body mass index: the Baltimore Longitudinal Study of Aging. Am J Epidemiol 150:969–977

    Article  PubMed  CAS  Google Scholar 

  • St Jeor ST, Hayman LL, Daniels SR, Gillman MW, Howard G, Law CM et al (2004) Prevention Conference VII: obesity, a worldwide epidemic related to heart disease and stroke: group II: age-dependent risk factors for obesity and comorbidities. Circulation 110:e471–e475

    Article  PubMed  Google Scholar 

  • Statistics on obesity, physical activity and diet: England (2010) http://www.ic.nhs.uk/pubs/opadjan08

  • Torrance GM, Hooper MD, Reeder BA (2002) Trends in overweight and obesity among adults in Canada (1970–1992): evidence from national surveys using measured height and weight. Int J Obes Relat Metab Disord 26:797–804

    Article  PubMed  CAS  Google Scholar 

  • Ulmer H, Kelleher C, Diem G, Concin H (2003) Long-term tracking of cardiovascular risk factors among men and women in a large population-based health system: the Vorarlberg Health Monitoring & Promotion Programme. Eur Heart J 24:1004–1013

    Article  PubMed  Google Scholar 

  • Wang H, Du S, Zhai F, Popkin BM (2007) Trends in the distribution of body mass index among Chinese adults, aged 20–45 years (1989–2000). Int J Obes 31:272–278

    Article  CAS  Google Scholar 

  • Wilsgaard T, Jacobsen BK, Schirmer H, Thune I, Løchen ML, Njølstad I et al (2001) Tracking of cardiovascular risk factors: the Tromsø study, 1979–1995. Am J Epidemiol 154:418–426

    Article  PubMed  CAS  Google Scholar 

  • Zhai G, Hart DJ, Valdes AM, Kato BS, Richards JB, Hakim A et al (2008) Natural history and risk factors for bone loss in postmenopausal Caucasian women: a 15-year follow-up population-based study. Osteoporos Int 19:1211–1217

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgments

The authors would like to thank all the Chingford members who participated in the study and to acknowledge the financial support from the Wellcome Trust and Arthritis Research UK for funding the Chingford Study. The study was also partially supported by Israel Science Foundation (Grant #994/10).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Timothy D. Spector.

Electronic supplementary material

Below is the link to the electronic supplementary material.

ESM 1

(DOC 56 kb)

About this article

Cite this article

Livshits, G., Malkin, I., Williams, F.M.K. et al. Longitudinal study of variation in body mass index in middle-aged UK females. AGE 34, 1285–1294 (2012). https://doi.org/10.1007/s11357-011-9299-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11357-011-9299-0

Keywords

Navigation