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Annual transition probabilities of overweight and obesity in older adults: Evidence from World Health Organization Study on global AGEing and adult health

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  • Lartey, Stella T.
  • Si, Lei
  • Otahal, Petr
  • de Graaff, Barbara
  • Boateng, Godfred O.
  • Biritwum, Richard Berko
  • Minicuci, Nadia
  • Kowal, Paul
  • Magnussen, Costan G.
  • Palmer, Andrew J.

Abstract

Overweight/obesity is becoming increasingly prevalent in sub-Saharan Africa including Ghana. However, transition probabilities, an essential component to develop cost-effective measures for weight management is lacking in this population. We estimated annual transition probabilities between three body mass index (BMI) categories: normal weight (BMI ≥18.5 and <25.0 kg/m2), overweight (BMI ≥25.0 and <30.0 kg/m2), and obesity (BMI ≥30.0 kg/m2), among older adults aged ≥50 years in Ghana. Data were used from a nationally representative, multistage sample of 1496 (44.3% females) older adults in both Waves 1 (2007/8) and 2 (2014/15) of the Ghana WHO SAGE. A multistage Markov model was used to estimate annual transition probabilities. We further examined the impact of specific socio-economic factors on the transition probabilities. At baseline, 22.8% were overweight and 11.1% were obese. The annual transition probability was 4.0% (95% CI: 3.4%, 4.8%) from normal weight to overweight, 11.1% (95% CI: 9.5%, 13.0%) from overweight to normal weight and 4.9% (95% CI: 3.8%, 6.2%) from overweight to obesity. For obese individuals, the probability of remaining obese, transitioning to overweight and completely reverting to normal weight was 90.2% (95% CI: 87.7%, 92.3%), 9.2% (95% CI: 7.2%, 11.6%) and 0.6% (95% CI: 0.4%, 0.8%) respectively. Being female, aged 50–65 years, urban residence, having high education and high wealth were associated with increased probability of transitioning into the overweight or obese categories. Our findings highlight the difficulty in transitioning away from obesity, especially among females. The estimated transition probabilities will be essential in health economic simulation models to determine sustainable weight management interventions.

Suggested Citation

  • Lartey, Stella T. & Si, Lei & Otahal, Petr & de Graaff, Barbara & Boateng, Godfred O. & Biritwum, Richard Berko & Minicuci, Nadia & Kowal, Paul & Magnussen, Costan G. & Palmer, Andrew J., 2020. "Annual transition probabilities of overweight and obesity in older adults: Evidence from World Health Organization Study on global AGEing and adult health," Social Science & Medicine, Elsevier, vol. 247(C).
    • Handle: RePEc:eee:socmed:v:247:y:2020:i:c:s027795362030040x
    DOI: 10.1016/j.socscimed.2020.112821
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    as
    1. Fildes, A. & Charlton, J. & Rudisill, C. & Littlejohns, P. & Prevost, A.T. & Gulliford, M.C., 2015. "Probability of an obese person attaining normal body weight: Cohort study using electronic health records," American Journal of Public Health, American Public Health Association, vol. 105(9), pages 54-59.
    2. Julie A. Campbell & Martin Hensher & Daniel Davies & Matthew Green & Barry Hagan & Ian Jordan & Alison Venn & Alexandr Kuzminov & Amanda Neil & Stephen Wilkinson & Andrew J. Palmer, 2019. "Long-Term Inpatient Hospital Utilisation and Costs (2007–2008 to 2015–2016) for Publicly Waitlisted Bariatric Surgery Patients in an Australian Public Hospital System Based on Australia’s Activity-Bas," PharmacoEconomics - Open, Springer, vol. 3(4), pages 599-618, December.
    3. Barbara Graaff & Lei Si & Amanda L. Neil & Kwang Chien Yee & Kristy Sanderson & Lyle C. Gurrin & Andrew J. Palmer, 2017. "Population Screening for Hereditary Haemochromatosis in Australia: Construction and Validation of a State-Transition Cost-Effectiveness Model," PharmacoEconomics - Open, Springer, vol. 1(1), pages 37-51, March.
    4. Jackson, Christopher, 2011. "Multi-State Models for Panel Data: The msm Package for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 38(i08).
    5. Deon Filmer & Lant Pritchett, 2001. "Estimating Wealth Effects Without Expenditure Data—Or Tears: An Application To Educational Enrollments In States Of India," Demography, Springer;Population Association of America (PAA), vol. 38(1), pages 115-132, February.
    6. Stella Lartey & Rasheda Khanam & Shingo Takahashi, 2016. "The Impact Of Household Wealth On Child Survival In Ghana," Working Papers EMS_2016_01, Research Institute, International University of Japan.
    7. Christy L Avery & Katelyn M Holliday & Sujatro Chakladar & Joseph C Engeda & Shakia T Hardy & Jared P Reis & Pamela J Schreiner & Christina M Shay & Martha L Daviglus & Gerardo Heiss & Dan Yu Lin & Do, 2016. "Disparities in Early Transitions to Obesity in Contemporary Multi-Ethnic U.S. Populations," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-12, June.
    8. Rachael Fleurence & Christopher Hollenbeak, 2007. "Rates and Probabilities in Economic Modelling," PharmacoEconomics, Springer, vol. 25(1), pages 3-6, January.
    9. S V Subramanian & Emre Özaltin & Jocelyn E Finlay, 2011. "Height of Nations: A Socioeconomic Analysis of Cohort Differences and Patterns among Women in 54 Low- to Middle-Income Countries," PLOS ONE, Public Library of Science, vol. 6(4), pages 1-13, April.
    10. Anirban Basu, 2010. "Forecasting Distribution of Body Mass Index in the United States: Is There More Room for Growth?," Medical Decision Making, , vol. 30(3), pages 1-11, May.
    11. Douglas K. Miller & Sharon M. Homan, 1994. "Determining Transition Probabilities," Medical Decision Making, , vol. 14(1), pages 52-58, February.
    12. Nicky J. Welton & A. E. Ades, 2005. "Estimation of Markov Chain Transition Probabilities and Rates from Fully and Partially Observed Data: Uncertainty Propagation, Evidence Synthesis, and Model Calibration," Medical Decision Making, , vol. 25(6), pages 633-645, November.
    13. Gitanjali M Singh & Goodarz Danaei & Farshad Farzadfar & Gretchen A Stevens & Mark Woodward & David Wormser & Stephen Kaptoge & Gary Whitlock & Qing Qiao & Sarah Lewington & Emanuele Di Angelantonio &, 2013. "The Age-Specific Quantitative Effects of Metabolic Risk Factors on Cardiovascular Diseases and Diabetes: A Pooled Analysis," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-10, July.
    14. Stella T Lartey & Costan G Magnussen & Lei Si & Barbara de Graaff & Richard Berko Biritwum & George Mensah & Alfred Yawson & Nadia Minicuci & Paul Kowal & Godfred O Boateng & Andrew J Palmer, 2019. "The role of intergenerational educational mobility and household wealth in adult obesity: Evidence from Wave 2 of the World Health Organization’s Study on global AGEing and adult health," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-19, January.
    15. Drummond, Michael F. & Sculpher, Mark J. & Claxton, Karl & Stoddart, Greg L. & Torrance, George W., 2015. "Methods for the Economic Evaluation of Health Care Programmes," OUP Catalogue, Oxford University Press, edition 4, number 9780199665884.
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    2. Yu Xin & Xiaohui Ren, 2020. "Social Capital as a Mediator through the Effect of Education on Depression and Obesity among the Elderly in China," IJERPH, MDPI, vol. 17(11), pages 1-12, June.
    3. Théophile T Azomahou & Bity Diene & Adrien Gosselin-Pali, 2021. "Transition and persistence in the double burden of malnutrition and obesity : Evidence from South Africa," Working Papers hal-03338304, HAL.

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