IDEAS home Printed from https://ideas.repec.org/a/aph/ajpbhl/2004943468-472_0.html
   My bibliography  Save this article

Relative Weight and Income at Different Levels of Socioeconomic Status

Author

Listed:
  • Sarlio-Lähteenkorva, S.
  • Silventoinen, K.
  • Lahelma, E.

Abstract

Objectives. We examined the association of relative weight with individual income at different levels of socioeconomic status among gainfully employed Finnish women and men. Methods. We used a population-based survey including 2068 women and 2314 men with linked income data from a taxation register. Regression analysis was used to calculate mean income levels within educational and occupational groups. Results. Compared with their normal-weight counterparts, obese women with higher education or in upper white-collar positions had significantly lower income; a smaller income disadvantage was seen in overweight women with secondary education and in manual workers. Excess body weight was not associated with income disadvantages in men. Conclusions. Obesity is associated with a clear income disadvantage, particularly among women with higher socioeconomic status.

Suggested Citation

  • Sarlio-Lähteenkorva, S. & Silventoinen, K. & Lahelma, E., 2004. "Relative Weight and Income at Different Levels of Socioeconomic Status," American Journal of Public Health, American Public Health Association, vol. 94(3), pages 468-472.
    • Handle: RePEc:aph:ajpbhl:2004:94:3:468-472_0
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Petri Böckerman & John Cawley & Jutta Viinikainen & Terho Lehtimäki & Suvi Rovio & Ilkka Seppälä & Jaakko Pehkonen & Olli Raitakari, 2019. "The effect of weight on labor market outcomes: An application of genetic instrumental variables," Health Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 65-77, January.
    2. Tafreschi, Darjusch, 2015. "The income body weight gradients in the developing economy of China," Economics & Human Biology, Elsevier, vol. 16(C), pages 115-134.
    3. Böckerman, Petri & Vainiomäki, Jari, 2013. "Stature and life-time labor market outcomes: Accounting for unobserved differences," Labour Economics, Elsevier, vol. 24(C), pages 86-96.
    4. Andrea Moro & Sebastian Tello‐Trillo & Tommaso Tempesti, 2019. "The Impact of Obesity on Wages: The Role of Personal Interactions and Job Selection," LABOUR, CEIS, vol. 33(2), pages 125-146, June.
    5. Johansson, Edvard & Böckerman, Petri & Kiiskinen, Urpo & Heliövaara, Markku, 2007. "The Effect of Obesity on Wages and Employment: The Difference Between Having a High BMI and Being Fat," Working Papers 528, Hanken School of Economics.
    6. Nikolaou, Agelike & Nikolaou, Dimitrios, 2009. "Socioeconomic, Health and Behavioural Determinants of Obesity in Europe," Review of Applied Economics, Lincoln University, Department of Financial and Business Systems, vol. 5(1-2), pages 1-15, March.
    7. Paraponaris, Alain & Saliba, Berengere & Ventelou, Bruno, 2005. "Obesity, weight status and employability: Empirical evidence from a French national survey," Economics & Human Biology, Elsevier, vol. 3(2), pages 241-258, July.
    8. Luis Fernando Gamboa & Nohora Y. Forero Ramírez, 2009. "Body mass index as a standard of living measure: a different interpretation for the case of Colombia," Documentos de Trabajo 5218, Universidad del Rosario.
    9. Banterle, Alessandro & Cavaliere, Alessia, 2014. "Is there a relationship between product attributes, nutrition labels and excess weight? Evidence from an Italian region," Food Policy, Elsevier, vol. 49(P1), pages 241-249.
    10. Pierre Levasseur, 2021. "Dynamics of the Bodyweight-Wage Relationship in Emerging Countries: Evidence from Mexico [Dynamiques de la relation entre corpulence et salaire dans les pays émergents : le cas du Mexique]," Post-Print hal-03335825, HAL.
    11. Christine Eibner & William N. Evans, 2005. "Relative Deprivation, Poor Health Habits, and Mortality," Journal of Human Resources, University of Wisconsin Press, vol. 40(3).
    12. Pierre LEVASSEUR, 2016. "The effects of bodyweight on wages in urban Mexico," Cahiers du GREThA (2007-2019) 2016-18, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    13. Levasseur, Pierre, 2017. "The ambiguous causal relationship between body-mass and labour income in emerging economies: The case of Mexico," MPRA Paper 81933, University Library of Munich, Germany.
    14. Yunwon Choi & Heeyeun Yoon, 2020. "Do the Walkability and Urban Leisure Amenities of Neighborhoods Affect the Body Mass Index of Individuals? Based on a Case Study in Seoul, South Korea," IJERPH, MDPI, vol. 17(6), pages 1-20, March.
    15. Lene Kromann, 2009. "Does Employee Body Weight Affect Employers' Behavior?," Economics Working Papers 2009-04, Department of Economics and Business Economics, Aarhus University.
    16. Wilson, Sven E., 2012. "Marriage, gender and obesity in later life," Economics & Human Biology, Elsevier, vol. 10(4), pages 431-453.
    17. Johansson, Edvard & Böckerman, Petri & Kiiskinen, Urpo & Heliövaara, Markku, 2009. "Obesity and labour market success in Finland: The difference between having a high BMI and being fat," Economics & Human Biology, Elsevier, vol. 7(1), pages 36-45, March.
    18. Aránzazu Hernández-Yumar & Maria Wemrell & Ignacio Abásolo Alessón & Beatriz González López-Valcárcel & George Leckie & Juan Merlo, 2018. "Socioeconomic differences in body mass index in Spain: An intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-23, December.

    More about this item

    Statistics

    Access and download statistics

    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:aph:ajpbhl:2004:94:3:468-472_0. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Christopher F Baum (email available below). General contact details of provider: https://www.apha.org .

    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.