IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i20p3866-d275789.html
   My bibliography  Save this article

Stability of Differences in Weight-Related Characteristics of Mothers across Economic, Cultural, Social, and Environmental-Health Indicators of Socioeconomic Status

Author

Listed:
  • Virginia Quick

    (Department of Nutritional Sciences, Rutgers University, New Brunswick, NJ 08520, USA)

  • Kaitlyn M. Eck

    (Department of Nutritional Sciences, Rutgers University, New Brunswick, NJ 08520, USA)

  • Colleen Delaney

    (Department of Nutritional Sciences, Rutgers University, New Brunswick, NJ 08520, USA)

  • Ryan Lewis

    (Department of Nutritional Sciences, Rutgers University, New Brunswick, NJ 08520, USA)

  • Carol Byrd-Bredbenner

    (Department of Nutritional Sciences, Rutgers University, New Brunswick, NJ 08520, USA)

Abstract

This study explored the differences in weight-related characteristics when socioeconomic status (SES) was assessed by economic, cultural, social, and environmental-health capital individually and as a composite with the goal of determining the stability of differences across types of capital and to ascertain whether single or a combination of capital indicators of SES should be used in nutrition and public health studies. Mothers (n = 557) of young children completed a survey assessing capital and weight-related characteristics. Mothers with higher economic, cultural, and social capital and composite SES had fewer sugar-sweetened beverage servings, fewer meals in front of the TV, more food security, and greater neighborhood space/supports for physical activity than comparators. Few differences occurred among environmental-health capital groups. Composite SES performed similarly to individual economic, cultural, and social capital measures. Findings suggest single SES indicators may be sufficiently stable to capture differences in weight-related characteristics. Each capital type captures a unique aspect of SES; thus, assessing an array of capital types could advance understanding of SES aspects on weight-related characteristics.

Suggested Citation

  • Virginia Quick & Kaitlyn M. Eck & Colleen Delaney & Ryan Lewis & Carol Byrd-Bredbenner, 2019. "Stability of Differences in Weight-Related Characteristics of Mothers across Economic, Cultural, Social, and Environmental-Health Indicators of Socioeconomic Status," IJERPH, MDPI, vol. 16(20), pages 1-15, October.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:20:p:3866-:d:275789
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/20/3866/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/16/20/3866/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pampel, Fred C. & Denney, Justin T. & Krueger, Patrick M., 2012. "Obesity, SES, and economic development: A test of the reversal hypothesis," Social Science & Medicine, Elsevier, vol. 74(7), pages 1073-1081.
    2. Neumark-Sztainer, D. & Story, M. & Hannan, P.J. & Croll, J., 2002. "Overweight status and eating patterns among adolescents: Where do youths stand in comparison with the Healthy People 2010 objectives?," American Journal of Public Health, American Public Health Association, vol. 92(5), pages 844-851.
    3. Currie, Candace & Molcho, Michal & Boyce, William & Holstein, Bjørn & Torsheim, Torbjørn & Richter, Matthias, 2008. "Researching health inequalities in adolescents: The development of the Health Behaviour in School-Aged Children (HBSC) Family Affluence Scale," Social Science & Medicine, Elsevier, vol. 66(6), pages 1429-1436, March.
    4. Ball, Kylie & Crawford, David, 2005. "Socioeconomic status and weight change in adults: a review," Social Science & Medicine, Elsevier, vol. 60(9), pages 1987-2010, May.
    5. Oakes, J. Michael & Rossi, Peter H., 2003. "The measurement of SES in health research: current practice and steps toward a new approach," Social Science & Medicine, Elsevier, vol. 56(4), pages 769-784, February.
    6. Barbeau, E.M. & Krieger, N. & Soobader, M.-J., 2004. "Working Class Matters: Socioeconomic Disadvantage, Race/Ethnicity, Gender, and Smoking in NHIS 2000," American Journal of Public Health, American Public Health Association, vol. 94(2), pages 269-278.
    7. Florian Lederbogen & Peter Kirsch & Leila Haddad & Fabian Streit & Heike Tost & Philipp Schuch & Stefan Wüst & Jens C. Pruessner & Marcella Rietschel & Michael Deuschle & Andreas Meyer-Lindenberg, 2011. "City living and urban upbringing affect neural social stress processing in humans," Nature, Nature, vol. 474(7352), pages 498-501, June.
    8. Omar Fassio & Chiara Rollero & Norma Piccoli, 2013. "Health, Quality of Life and Population Density: A Preliminary Study on “Contextualized” Quality of Life," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 110(2), pages 479-488, January.
    9. Farmer, Melissa M. & Ferraro, Kenneth F., 2005. "Are racial disparities in health conditional on socioeconomic status?," Social Science & Medicine, Elsevier, vol. 60(1), pages 191-204, January.
    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. Lauren A. Clay & Ashley D. Ross, 2020. "Factors Associated with Food Insecurity Following Hurricane Harvey in Texas," IJERPH, MDPI, vol. 17(3), pages 1-17, January.

    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. Scharoun-Lee, Melissa & Adair, Linda S. & Kaufman, Jay S. & Gordon-Larsen, Penny, 2009. "Obesity, race/ethnicity and the multiple dimensions of socioeconomic status during the transition to adulthood: A factor analysis approach," Social Science & Medicine, Elsevier, vol. 68(4), pages 708-716, February.
    2. Fujishiro, Kaori & Xu, Jun & Gong, Fang, 2010. "What does "occupation" represent as an indicator of socioeconomic status?: Exploring occupational prestige and health," Social Science & Medicine, Elsevier, vol. 71(12), pages 2100-2107, December.
    3. Tafreschi, Darjusch, 2015. "The income body weight gradients in the developing economy of China," Economics & Human Biology, Elsevier, vol. 16(C), pages 115-134.
    4. Luca S. D’Acci, 2020. "Urbanicity mental costs valuation: a review and urban-societal planning consideration," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 19(2), pages 223-235, November.
    5. Ren, Yanjun & Castro Campos, Bente & Loy, Jens-Peter & Brosig, Stephan, 2019. "Low-income and overweight in China: Evidence from a life-course utility model," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 18(8), pages 1753-1767.
    6. Adam Okulicz-Kozaryn & Joan Maya Mazelis, 2018. "Urbanism and happiness: A test of Wirth’s theory of urban life," Urban Studies, Urban Studies Journal Limited, vol. 55(2), pages 349-364, February.
    7. Joseph Wolfe, 2015. "The Effects of Socioeconomic Status on Child and Adolescent Physical Health: An Organization and Systematic Comparison of Measures," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 123(1), pages 39-58, August.
    8. Perreira, Krista M. & Telles, Edward E., 2014. "The color of health: Skin color, ethnoracial classification, and discrimination in the health of Latin Americans," Social Science & Medicine, Elsevier, vol. 116(C), pages 241-250.
    9. Hoeck, Sarah & François, Guido & Van der Heyden, Johan & Geerts, Joanna & Van Hal, Guido, 2011. "Healthcare utilisation among the Belgian elderly in relation to their socio-economic status," Health Policy, Elsevier, vol. 99(2), pages 174-182, February.
    10. David Yoon Kin Tong & Chau Keng Tee & Hishamuddin Ismail, 2016. "Developing the Profile of Green Consumer and Family Decision Making Model: A Review," Journal of Emerging Trends in Marketing and Management, The Bucharest University of Economic Studies, vol. 1(1), pages 282-291, September.
    11. Isabelle Roskam & Jean-Christophe Meunier & Marie Stievenart, 2015. "From Parents to Siblings and Peers," SAGE Open, , vol. 5(4), pages 21582440156, October.
    12. Aue, Katja & Roosen, Jutta, 2010. "Poverty and health behaviour: Comparing socioeconomic status and a combined poverty indicator as a determinant of health behaviour," 115th Joint EAAE/AAEA Seminar, September 15-17, 2010, Freising-Weihenstephan, Germany 116401, European Association of Agricultural Economists.
    13. Susan J. Bondy & Kim L. Bercovitz, 2013. "“ Hike up yer Skirt, and Quit. ” What Motivates and Supports Smoking Cessation in Builders and Renovators," IJERPH, MDPI, vol. 10(2), pages 1-15, February.
    14. Kern, Matthias Robert & Heinz, Andreas & Stevens, Gonneke W.J.M. & Walsh, Sophie D. & Willems, Helmut, 2020. "“What's a normal weight?” – Origin and receiving country influences on weight-status assessment among 1.5 and 2nd generation immigrant adolescents in Europe," Social Science & Medicine, Elsevier, vol. 264(C).
    15. Nielsen, Line & Koushede, Vibeke & Vinther-Larsen, Mathilde & Bendtsen, Pernille & Ersbøll, Annette Kjær & Due, Pernille & Holstein, Bjørn E., 2015. "Does school social capital modify socioeconomic inequality in mental health? A multi-level analysis in Danish schools," Social Science & Medicine, Elsevier, vol. 140(C), pages 35-43.
    16. Meryem Hayir-Kanat & Jürgen Breuste, 2019. "Which Natural Areas are Preferred for Recreation? An Investigation of the Most Popular Natural Resting Types for Istanbul," Sustainability, MDPI, vol. 11(23), pages 1-14, November.
    17. Shoham, David A. & Vupputuri, Suma & Kaufman, Jay S. & Kshirsagar, Abhijit V. & Diez Roux, Ana V. & Coresh, Josef & Heiss, Gerardo, 2008. "Kidney disease and the cumulative burden of life course socioeconomic conditions: The Atherosclerosis Risk in Communities (ARIC) Study," Social Science & Medicine, Elsevier, vol. 67(8), pages 1311-1320, October.
    18. Kim Dalziel & Max Catchpool & Borja García-Lorenzo & Inigo Gorostiza & Richard Norman & Oliver Rivero-Arias, 2020. "Feasibility, Validity and Differences in Adolescent and Adult EQ-5D-Y Health State Valuation in Australia and Spain: An Application of Best–Worst Scaling," PharmacoEconomics, Springer, vol. 38(5), pages 499-513, May.
    19. Jaroslava Voráčová & Erik Sigmund & Dagmar Sigmundová & Michal Kalman, 2016. "Family Affluence and the Eating Habits of 11- to 15-Year-Old Czech Adolescents: HBSC 2002 and 2014," IJERPH, MDPI, vol. 13(10), pages 1-11, October.
    20. Umberson, Debra & Liu, Hui & Mirowsky, John & Reczek, Corinne, 2011. "Parenthood and trajectories of change in body weight over the life course," Social Science & Medicine, Elsevier, vol. 73(9), pages 1323-1331.

    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:16:y:2019:i:20:p:3866-:d:275789. 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.