IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v247y2020ics027795362030040x.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S027795362030040X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socscimed.2020.112821?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    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. 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.
    3. 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.
    4. Rachael Fleurence & Christopher Hollenbeak, 2007. "Rates and Probabilities in Economic Modelling," PharmacoEconomics, Springer, vol. 25(1), pages 3-6, January.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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).
    12. 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.
    13. 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.
    14. Douglas K. Miller & Sharon M. Homan, 1994. "Determining Transition Probabilities," Medical Decision Making, , vol. 14(1), pages 52-58, February.
    15. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fisaha Haile Tesfay & Kathryn Backholer & Christina Zorbas & Steven J. Bowe & Laura Alston & Catherine M. Bennett, 2022. "The Magnitude of NCD Risk Factors in Ethiopia: Meta-Analysis and Systematic Review of Evidence," IJERPH, MDPI, vol. 19(9), pages 1-19, April.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Edmund Jones & David Epstein & Leticia García-Mochón, 2017. "A Procedure for Deriving Formulas to Convert Transition Rates to Probabilities for Multistate Markov Models," Medical Decision Making, , vol. 37(7), pages 779-789, October.
    3. João Costa Freitas & Alberto Adrego Pinto & Óscar Felgueiras, 2024. "Game Theory for Predicting Stocks’ Closing Prices," Mathematics, MDPI, vol. 12(17), pages 1-49, August.
    4. Alemayehu Hailu & Bernt Lindtjørn & Wakgari Deressa & Taye Gari & Eskindir Loha & Bjarne Robberstad, 2017. "Economic burden of malaria and predictors of cost variability to rural households in south-central Ethiopia," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-16, October.
    5. Rachael Fleurence & Christopher Hollenbeak, 2007. "Rates and Probabilities in Economic Modelling," PharmacoEconomics, Springer, vol. 25(1), pages 3-6, January.
    6. Marta Soares & Luísa Canto e Castro, 2012. "Continuous Time Simulation and Discretized Models for Cost-Effectiveness Analysis," PharmacoEconomics, Springer, vol. 30(12), pages 1101-1117, December.
    7. Marta O. Soares & Luísa Canto e Castro, 2012. "Continuous Time Simulation and Discretized Models for Cost-Effectiveness Analysis," PharmacoEconomics, Springer, vol. 30(12), pages 1101-1117, December.
    8. Irina Pokhilenko & Luca M. M. Janssen & Aggie T. G. Paulus & Ruben M. W. A. Drost & William Hollingworth & Joanna C. Thorn & Sian Noble & Judit Simon & Claudia Fischer & Susanne Mayer & Luis Salvador-, 2023. "Development of an Instrument for the Assessment of Health-Related Multi-sectoral Resource Use in Europe: The PECUNIA RUM," Applied Health Economics and Health Policy, Springer, vol. 21(2), pages 155-166, March.
    9. Diane Coffey & Ashwini Deshpande & Jeffrey Hammer & Dean Spears, 2019. "Local Social Inequality, Economic Inequality, and Disparities in Child Height in India," Demography, Springer;Population Association of America (PAA), vol. 56(4), pages 1427-1452, August.
    10. Chiranjeev Sanyal & Don Husereau, 2020. "Systematic Review of Economic Evaluations of Services Provided by Community Pharmacists," Applied Health Economics and Health Policy, Springer, vol. 18(3), pages 375-392, June.
    11. Humphreys, Brad & Ruseski, Jane & Zhou, Li, 2015. "Physical Activity, Present Bias, and Habit Formation: Theory and Evidence from Longitudinal Data," Working Papers 2015-6, University of Alberta, Department of Economics.
    12. Angus Deaton & Jean Dreze, 2008. "Nutrition in India: Facts and Interpretations," Working Papers 1071, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
    13. Cornelie Nienaber-Rousseau & Olusola F. Sotunde & Patricia O. Ukegbu & P. Hermanus Myburgh & Hattie H. Wright & Lize Havemann-Nel & Sarah J. Moss & Iolanthé M. Kruger & H. Salomé Kruger, 2017. "Socio-Demographic and Lifestyle Factors Predict 5-Year Changes in Adiposity among a Group of Black South African Adults," IJERPH, MDPI, vol. 14(9), pages 1-16, September.
    14. Kumar, Kaushalendra & Shukla, Ankita & Singh, Abhishek & Ram, Faujdar & Kowal, Paul, 2016. "Association between wealth and health among older adults in rural China and India," The Journal of the Economics of Ageing, Elsevier, vol. 7(C), pages 43-52.
    15. Winters, P. & Kafle, K. & Benfica, R., 2018. "IFAD RESEARCH SERIES 21 - Does relative deprivation induce migration? Evidence from sub-Saharan Africa," IFAD Research Series 280070, International Fund for Agricultural Development (IFAD).
    16. Langyintuo, Augustine S. & Mungoma, Catherine, 2008. "The effect of household wealth on the adoption of improved maize varieties in Zambia," Food Policy, Elsevier, vol. 33(6), pages 550-559, December.
    17. Ravi Prakash & Abhishek Singh, 2014. "Who Marries Whom? Changing Mate Selection Preferences in Urban India and Emerging Implications on Social Institutions," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 33(2), pages 205-227, April.
    18. Samikshya Poudel & Timothy Dobbins & Husna Razee & Blessing Akombi-Inyang, 2023. "Adolescent Pregnancy in South Asia: A Pooled Analysis of Demographic and Health Surveys," IJERPH, MDPI, vol. 20(12), pages 1-14, June.
    19. Tuccio, Michele & Wahba, Jackline & Hamdouch, Bachir, 2016. "International Migration: Driver of Political and Social Change?," IZA Discussion Papers 9794, Institute of Labor Economics (IZA).
    20. Pritchett, Lant & Sumarto, Sudarno & Suryahadi, Asep, 2001. "Targeted Programs in an Economic Crisis: Empirical Findings from Indonesia’s Experience," MPRA Paper 58727, University Library of Munich, Germany.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:socmed:v:247:y:2020:i:c:s027795362030040x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.