IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v15y2018i10p2146-d172778.html
   My bibliography  Save this article

Impact of Different Estimation Methods on Obesity-Attributable Mortality Levels and Trends: The Case of The Netherlands

Author

Listed:
  • Nikoletta Vidra

    (Population Research Centre, Faculty of Spatial Sciences, University of Groningen, PO Box 800, 9700 AV Groningen, The Netherlands)

  • Maarten J. Bijlsma

    (Max Planck Institute for Demographic Research, Konrad-Zuse Str. 1, 18057 Rostock, Germany)

  • Fanny Janssen

    (Population Research Centre, Faculty of Spatial Sciences, University of Groningen, PO Box 800, 9700 AV Groningen, The Netherlands
    Netherlands Interdisciplinary Demographic Institute, P.O. Box 11650, 2502 AR The Hague, The Netherlands)

Abstract

The available methodologies to estimate the obesity-attributable mortality fraction (OAMF) affect the levels found and hamper the construction of time series. Our aim was to assess the impact of using different techniques to estimate the levels and the trends in obesity-attributable mortality for The Netherlands between 1981 to 2013. Using Body Mass Index (BMI), all-cause and cause-specific mortality data, and worldwide and European relative risks (RRs), we estimated OAMFs using three all-cause approaches (partially adjusted, weighted sum, and the two combined) and one cause-of-death approach (Comparative Risk Assessment; CRA). We adjusted the CRA approach to purely capture obesity (BMI ≥ 30 kg/m 2 ). The different approaches led to a range of estimates. The weighted sum method using worldwide RRs generated the lowest (0.9%) while the adjusted CRA approach using 2013 RRs generated the highest estimate (1.5%). Using European-specific RRs instead of worldwide RRs resulted in higher estimates. Most of the approaches revealed an increasing OAMF over the period 1981 to 2013 especially from 1993 onwards except for the adjusted CRA approach among women. Estimates of OAMF levels and trends differed depending on the method applied. Given the limited available data, we recommend using the weighted-sum method to compare obesity-attributable mortality across European countries over time.

Suggested Citation

  • Nikoletta Vidra & Maarten J. Bijlsma & Fanny Janssen, 2018. "Impact of Different Estimation Methods on Obesity-Attributable Mortality Levels and Trends: The Case of The Netherlands," IJERPH, MDPI, vol. 15(10), pages 1-11, September.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:10:p:2146-:d:172778
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/15/10/2146/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/15/10/2146/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Preston, S.H. & Stokes, A., 2011. "Contribution of obesity to international differences in life expectancy," American Journal of Public Health, American Public Health Association, vol. 101(11), pages 2137-2143.
    2. repec:nas:journl:v:115:y:2018:p:957-961 is not listed on IDEAS
    3. Rockhill, B. & Newman, B. & Weinberg, C., 1998. "Use and misuse of population attributable fractions," American Journal of Public Health, American Public Health Association, vol. 88(1), pages 15-19.
    4. Anne von Ruesten & Annika Steffen & Anna Floegel & Daphne L van der A & Giovanna Masala & Anne Tjønneland & Jytte Halkjaer & Domenico Palli & Nicholas J Wareham & Ruth J F Loos & Thorkild I A Sørensen, 2011. "Trend in Obesity Prevalence in European Adult Cohort Populations during Follow-up since 1996 and Their Predictions to 2015," PLOS ONE, Public Library of Science, vol. 6(11), pages 1-9, November.
    5. Goodarz Danaei & Eric L Ding & Dariush Mozaffarian & Ben Taylor & Jürgen Rehm & Christopher J L Murray & Majid Ezzati, 2009. "The Preventable Causes of Death in the United States: Comparative Risk Assessment of Dietary, Lifestyle, and Metabolic Risk Factors," PLOS Medicine, Public Library of Science, vol. 6(4), pages 1-23, April.
    Full references (including those not matched with items on IDEAS)

    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. Eduardo Simoes & Sergio Mariotti & Alessandra Rossi & Alicia Heim & Felipe Lobello & Ali Mokdad & Emanuele Scafato, 2012. "The Italian health surveillance (SiVeAS) prioritization approach to reduce chronic disease risk factors," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 57(4), pages 719-733, August.
    2. Charles Courtemanche & James Marton & Benjamin Ukert & Aaron Yelowitz & Daniela Zapata, 2018. "Early Effects of the Affordable Care Act on Health Care Access, Risky Health Behaviors, and Self‐Assessed Health," Southern Economic Journal, John Wiley & Sons, vol. 84(3), pages 660-691, January.
    3. Michael G Baker & Jason Gurney & Jane Oliver & Nicole J Moreland & Deborah A Williamson & Nevil Pierse & Nigel Wilson & Tony R Merriman & Teuila Percival & Colleen Murray & Catherine Jackson & Richard, 2019. "Risk Factors for Acute Rheumatic Fever: Literature Review and Protocol for a Case-Control Study in New Zealand," IJERPH, MDPI, vol. 16(22), pages 1-39, November.
    4. Corsi, Daniel J. & Mejía-Guevara, Iván & Subramanian, S.V., 2016. "Risk factors for chronic undernutrition among children in India: Estimating relative importance, population attributable risk and fractions," Social Science & Medicine, Elsevier, vol. 157(C), pages 165-185.
    5. Eva Deuchert, 2011. "The Virgin HIV Puzzle: Can Misreporting Account for the High Proportion of HIV Cases in Self-reported Virgins?," Journal of African Economies, Centre for the Study of African Economies, vol. 20(1), pages 60-89, January.
    6. Brian L. Rostron & Cindy M. Chang & Brittny C. Davis Lynn & Chunfeng Ren & Esther Salazar & Bridget K. Ambrose, 2022. "The contribution of smoking-attributable mortality to differences in mortality and life expectancy among US African-American and white adults, 2000–2019," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 46(31), pages 905-918.
    7. Matthew Ritchey & Stavros Tsipas & Fleetwood Loustalot & Gregory Wozniak, 2016. "Use of Pharmacy Sales Data to Assess Changes in Prescription- and Payment-Related Factors that Promote Adherence to Medications Commonly Used to Treat Hypertension, 2009 and 2014," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-14, July.
    8. Kenneth Anujuo & Karien Stronks & Marieke B. Snijder & Anja Lok & Girardin Jean-Louis & Charles Agyemang, 2021. "Association between Depressed Mood and Sleep Duration among Various Ethnic Groups—The Helius Study," IJERPH, MDPI, vol. 18(13), pages 1-10, July.
    9. Lawrence, Elizabeth M. & Mollborn, Stefanie & Hummer, Robert A., 2017. "Health lifestyles across the transition to adulthood: Implications for health," Social Science & Medicine, Elsevier, vol. 193(C), pages 23-32.
    10. Yan Zheng & Qingsong Chang & Paul Siu Fai Yip, 2019. "Understanding the Increase in Life Expectancy in Hong Kong: Contributions of Changes in Age- and Cause-Specific Mortality," IJERPH, MDPI, vol. 16(11), pages 1-15, June.
    11. Ronchetti, Jérôme & Terriau, Anthony, 2021. "Help me quit smoking but don't make me sick! The controversial effects of electronic cigarettes on tobacco smokers," Social Science & Medicine, Elsevier, vol. 274(C).
    12. Shima Hamidi, 2020. "Urban sprawl and the emergence of food deserts in the USA," Urban Studies, Urban Studies Journal Limited, vol. 57(8), pages 1660-1675, June.
    13. Osita K. Ezeh & Felix A. Ogbo & Anastasia O. Odumegwu & Gladys H. Oforkansi & Uchechukwu D. Abada & Piwuna C. Goson & Tanko Ishaya & Kingsley E. Agho, 2021. "Under-5 Mortality and Its Associated Factors in Northern Nigeria: Evidence from 22,455 Singleton Live Births (2013–2018)," IJERPH, MDPI, vol. 18(18), pages 1-16, September.
    14. Ana Isabel Ribeiro & Elias Teixeira Krainski & Marilia Sá Carvalho & Guy Launoy & Carole Pornet & Maria de Fátima Pina, 2018. "Does community deprivation determine longevity after the age of 75? A cross-national analysis," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 63(4), pages 469-479, May.
    15. Charles Courtemanche & James Marton & Benjamin Ukert & Aaron Yelowitz & Daniela Zapata, 2019. "Effects of the Affordable Care Act on Health Behaviors After 3 Years," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 45(1), pages 7-33, January.
    16. Cotti, Chad & Dunn, Richard A. & Tefft, Nathan, 2014. "Alcohol-impaired motor vehicle crash risk and the location of alcohol purchase," Social Science & Medicine, Elsevier, vol. 108(C), pages 201-209.
    17. Courtemanche, Charles & Marton, James & Ukert, Benjamin & Yelowitz, Aaron & Zapata, Daniela, 2018. "Effects of the Affordable Care Act on Health Behaviors after Three Years," IZA Discussion Papers 11468, Institute of Labor Economics (IZA).
    18. Jessica Ho & Irma Elo, 2013. "The Contribution of Smoking to Black-White Differences in U.S. Mortality," Demography, Springer;Population Association of America (PAA), vol. 50(2), pages 545-568, April.
    19. Aner Tal, 2021. "Wanting More, Seeing Less: Hunger Reduces Calorie Evaluations," IJERPH, MDPI, vol. 18(23), pages 1-12, November.
    20. Allison Larg & John Moss, 2011. "Cost-of-Illness Studies," PharmacoEconomics, Springer, vol. 29(8), pages 653-671, August.

    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:gam:jijerp:v:15:y:2018:i:10:p:2146-:d:172778. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.