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Gender, socioeconomic status and family status as determinants of food behaviour

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  • Roos, Eva
  • Lahelma, Eero
  • Virtanen, Mikko
  • Prättälä, Ritva
  • Pietinen, Pirjo

Abstract

This study examines social structural and family status factors as determinants of food behaviour. The data were derived from the FINMONICA Risk Factor Survey, collected in Finland in spring 1992. A multidimensional framework of the determinants of food behaviour was used, including social structural position, family status and gender. The associations between the determinants of food behaviour were estimated by multivariate logistic regression models, adjusted for age and regional differences. Food behaviour was measured by an index including six food items which were chosen based on Finnish dietary guidelines. In general, women's food behaviour was more in accordance with the dietary guidelines than that of men. The pattern of association between educational level and food behaviour was similar for both genders, but slightly stronger for men than women. Employment status was associated only with women's food behaviour, but the tendency was the same for men. Marital status was associated with men's as well as women's food behaviour. The food behaviour of married men and women was more in line with the dietary guidelines than the food behaviour of those who had been previously married. Parental status, however, was only associated with women's food behaviour, that is, the food behaviour of women with young children was more closely in line with the dietary guidelines than that of the rest of the women.

Suggested Citation

  • Roos, Eva & Lahelma, Eero & Virtanen, Mikko & Prättälä, Ritva & Pietinen, Pirjo, 1998. "Gender, socioeconomic status and family status as determinants of food behaviour," Social Science & Medicine, Elsevier, vol. 46(12), pages 1519-1529, June.
  • Handle: RePEc:eee:socmed:v:46:y:1998:i:12:p:1519-1529
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    3. Odmaa Narantungalag,, 2022. "The effects of natural resource extraction on household expenditure patterns: Evidence from Mongolia," Discussion Papers 2204, School of Economics and Finance, Massey University, New Zealand.
    4. Vinther, Johan L. & Conklin, Annalijn I. & Wareham, Nicholas J. & Monsivais, Pablo, 2016. "Marital transitions and associated changes in fruit and vegetable intake: Findings from the population-based prospective EPIC-Norfolk cohort, UK," Social Science & Medicine, Elsevier, vol. 157(C), pages 120-126.
    5. Fichera, Eleonora & von Hinke, Stephanie, 2020. "The response to nutritional labels: Evidence from a quasi-experiment," Journal of Health Economics, Elsevier, vol. 72(C).
    6. Worsley, Anthony & Wang, Wei C. & Hunter, Wendy, 2013. "Gender differences in the influence of food safety and health concerns on dietary and physical activity habits," Food Policy, Elsevier, vol. 41(C), pages 184-192.
    7. Mróz, Lawrence William & Chapman, Gwen E. & Oliffe, John L. & Bottorff, Joan L., 2011. "Gender relations, prostate cancer and diet: Re-inscribing hetero-normative food practices," Social Science & Medicine, Elsevier, vol. 72(9), pages 1499-1506, May.
    8. Kierczyńska, Sylwia, 2013. "Zróżnicowanie preferencji konsumentów jabłek na przykładzie studentów Uniwersytetu Przyrodniczego w Poznaniu," Journal of Agribusiness and Rural Development, University of Life Sciences, Poznan, Poland, vol. 30(4).
    9. Henson, Spencer & Blandon, Jose & Cranfield, John, 2010. "Difficulty of healthy eating: A Rasch model approach," Social Science & Medicine, Elsevier, vol. 70(10), pages 1574-1580, May.
    10. Huong Thi Trinh & Vincent Linderhof & Vy Thao Vuong & Erin E. Esaryk & Martin Heller & Youri Dijkxhoorn & Trang Mai Nguyen & Tuyen Thi Thanh Huynh & Ricardo Hernandez & Thanh Thi Duong & Van Thi Luu &, 2021. "Diets, Food Choices and Environmental Impacts across an Urban-Rural Interface in Northern Vietnam," Agriculture, MDPI, vol. 11(2), pages 1-20, February.
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    12. Yannakoulia, Mary & Panagiotakos, Demosthenes & Pitsavos, Christos & Skoumas, Yannis & Stafanadis, Christodoulos, 2008. "Eating patterns may mediate the association between marital status, body mass index, and blood cholesterol levels in apparently healthy men and women from the ATTICA study," Social Science & Medicine, Elsevier, vol. 66(11), pages 2230-2239, June.
    13. Ambrose Ojodale Attah & Tonje Braaten & Guri Skeie, 2017. "Change in potato consumption among Norwegian women 1998-2005—The Norwegian Women and Cancer study (NOWAC)," PLOS ONE, Public Library of Science, vol. 12(6), pages 1-16, June.
    14. Petra Rattay & Elena von der Lippe, 2020. "Association between Living with Children and the Health and Health Behavior of Women and Men. Are There Differences by Age? Results of the “German Health Update” (GEDA) Study," IJERPH, MDPI, vol. 17(9), pages 1-19, May.
    15. Hudak, Katelin M. & Racine, Elizabeth F., 2021. "Do additional SNAP benefits matter for child weight?: Evidence from the 2009 benefit increase," Economics & Human Biology, Elsevier, vol. 41(C).
    16. Veronika Keller & Adrienn Dernóczy-Polyák & Rugiyya Alasgarova, 2019. "Eating styles of young females in Azerbaijan," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 16(1), pages 43-60, March.

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