Skip to main content

Advertisement

Log in

Food Insecurity, Food Deserts, and Waist-to-Height Ratio: Variation by Sex and Race/Ethnicity

  • Original Paper
  • Published:
Journal of Community Health Aims and scope Submit manuscript

Abstract

The purpose of this study is to investigate the association between two food-related hardships—food insecurity and living in a food desert—on waist-to-height ratio (WHtR). Data on participants from waves I and IV of the National Longitudinal Study of Adolescent to Adult Health (Add Health) were analyzed. The association between food-related hardships and waist-to-height ratio were examined using logistic regression. Models were stratified by sex and race/ethnicity to examine potential moderating effects. Study results suggest food insecurity has a positive association with WHtR among female respondents (OR = 1.360, p = .017). Living in a food desert has a positive association with WHtR among both females (OR = 1.247, p = .026) and males (OR = 1.245, p = .024). In models stratified by race/ethnicity living in a food desert is positively associated with WHtR among White respondents (OR = 1.279, p = .003). Given the link between food-related hardships and obesity, targeted interventions that alleviate food insecurity and inadequate access to healthy food retailers could be effective in reducing obesity.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Hales, C. M., Fryar, C. D., Carroll, M. D., et al. (2018). Trends in obesity and severe obesity prevalence in US youth and adults by sex and age, 2007–2008 to 2015–2016. JAMA, 319, 1723–1725.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Di Angelantonio, E., Bhupathiraju, S. N., Wormser, D., et al. (2016). Body-mass index and all-cause mortality: Individual-participant-data meta-analysis of 239 prospective studies in four continents. The Lancet, 388, 776–786.

    Article  Google Scholar 

  3. Gooding, H. C., Walls, C. E., & Richmond, T. K. (2012). Food insecurity and increased BMI in young adult women. Obesity, 20, 1896–1901.

    Article  PubMed  Google Scholar 

  4. Larson, N. I., Story, M. T., & Nelson, M. C. (2009). Neighborhood environments: Disparities in access to healthy foods in the US. American Journal of Preventive Medicine, 36, 74–81.

    Article  PubMed  Google Scholar 

  5. Spence, J. C., Cutumisu, N., Edwards, J., et al. (2009). Relation between local food environments and obesity among adults. BMC Public Health, 9, 192.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Hernandez, D. C., Reesor, L. M., & Murillo, R. (2017). Food insecurity and adult overweight/obesity: Gender and race/ethnic disparities. Appetite, 117, 373–378.

    Article  PubMed  Google Scholar 

  7. Bohr, A. D., Laurson, K., & McQueen, M. B. (2016). A novel cutoff for the waist-to-height ratio predicting metabolic syndrome in young American adults. BMC Public Health, 16, 295.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Coleman-Jensen, A., Rabbit, M. P., Gregory, C. A., et al. (2017). Household food security in the United States in 2016. Washington, DC: U.S. Department of Agriculture.

    Google Scholar 

  9. Gundersen, C., Kreider, B., & Pepper, J. (2011). The economics of food insecurity in the United States. Applied Economic Perspectives and Policy, 33, 281–303.

    Article  Google Scholar 

  10. Gundersen, C., & Ziliak, J. P. (2015). Food insecurity and health outcomes. Health Affairs, 34, 1830–1839.

    Article  PubMed  Google Scholar 

  11. Dinour, L. M., Bergen, D., & Yeh, M. C. (2007). The food insecurity–obesity paradox: A review of the literature and the role food stamps may play. Journal of the American Dietetic Association, 107, 1952–1961.

    Article  PubMed  Google Scholar 

  12. Stinson, E. J., Votruba, S. B., Venti, C., et al. (2018). Food insecurity is associated with maladaptive eating behaviors and objectively measured overeating. Obesity. https://doi.org/10.1002/oby.22305.

    Article  PubMed  Google Scholar 

  13. Adams, E. J., Grummer-Strawn, L., & Chavez, G. (2003). Food insecurity is associated with increased risk of obesity in California women. The Journal of Nutrition, 133, 1070–1074.

    Article  CAS  PubMed  Google Scholar 

  14. Pan, L., Sherry, B., Njai, R., et al. (2012). Food insecurity is associated with obesity among US adults in 12 states. Journal of the Academy of Nutrition and Dietetics, 112, 1403–1409.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Cummins, S., & Macintyre, S. (2002). A systematic study of an urban foodscape: The price and availability of food in greater Glasgow. Urban Studies, 39, 2115–2130.

    Article  Google Scholar 

  16. National Research Council. (2009). The public health effects of food deserts. Washington, DC: National Academies Press.

    Google Scholar 

  17. Caspi, C. E., Sorensen, G., Subramanian, S. V., et al. (2012). The local food environment and diet: A systematic review. Health Place, 18, 1172–1187.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Morland, K. B., & Evenson, K. R. (2009). Obesity prevalence and the local food environment. Health Place, 15, 491–495.

    Article  PubMed  Google Scholar 

  19. Cummins, S., Flint, E., Matthews, S. A. (2014). New neighborhood grocery store increased awareness of food access but did not alter dietary habits or obesity. Health Affairs, 33(2), 283–291.

    Article  PubMed  Google Scholar 

  20. Lewis, L. B., Sloane, D. C., Nascimento, L. M., et al. (2011). African Americans’ access to healthy food options in South Los Angeles restaurants. American Journal of Public Health, 95, 668–673.

    Article  Google Scholar 

  21. Gordon, C., Purciel-Hill, M., Ghai, N. R., et al. (2011). Measuring food deserts in New York City’s low-income neighborhoods. Health Place, 17, 696–700.

    Article  PubMed  Google Scholar 

  22. Osypuk, T. L., Roux, A. V., Hadley, C., et al. (2009). Are immigrant enclaves healthy places to live? The multi-ethnic study of atherosclerosis. Social Science & Medicine, 69, 110–120.

    Article  Google Scholar 

  23. Ogden, C. L., Carroll, M. D., Fryar, C. D., et al. (2015). Prevalence of obesity among adults and youth: United States, 2011–2014. Atlanta: US Department of Health and Human Services.

    Google Scholar 

  24. Centers for Disease Control and Prevention. (2011). Census tract level state maps of the Modified Retail Food Environment Index (mRFEI). Atlanta: US Department of Health and Human Services.

    Google Scholar 

  25. Santorelli, M. L., & Okeke, J. O. (2017). Evaluating community measures of healthy food access. Journal of Community Health, 42, 991–997.

    Article  PubMed  Google Scholar 

  26. United States Department of Agriculture Economic Research Service. (2015). Rural-urban commuting area codes. Washington, DC: U.S. Department of Agriculture.

    Google Scholar 

  27. Ashwell, M., Gunn, P., & Gibson, S. (2012). Waist-to-height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors: Systematic review and meta-analysis. Obesity Reviews, 13, 275–286.

    Article  CAS  PubMed  Google Scholar 

  28. Ashwell, M., Mayhew, L., Richardson, J., et al. (2014). Waist-to-height ratio is more predictive of years of life lost than body mass index. PLoS ONE, 9, e103483.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Entzel, P., Whitsel, E. A., Richardson, A., et al. (2009). Add health wave IV documentation: Cardiovascular and anthropometric measures. Chapel Hill: UNC Population Research Center.

    Google Scholar 

  30. Paternoster, R., Brame, R., Mazerolle, P., et al. (1998). Using the correct statistical test for the equality of regression coefficients. Criminology, 36, 859–866.

    Article  Google Scholar 

  31. Shin, J. I., Bautista, L. E., Walsh, M. C., et al. (2015). Food insecurity and dyslipidemia in a representative population-based sample in the US. Preventive Medicine, 77, 186–190.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Assari, S., & Lankarani, M. M. (2016). Depressive symptoms are associated with more hopelessness among white than black older adults. Frontiers in Public Health, 4, 82.

    PubMed  PubMed Central  Google Scholar 

  33. Graham, C., & Pinto, S. (2018). Unequal hopes and lives in the USA: Optimism, race, place, and premature mortality. Journal of Population Economics, 1–69.

  34. Nord, M., Andrews, M., & Carlson, A. (2009). Household food security in the United States, 2008. Washington, DC: U.S. Department of Agriculture.

    Google Scholar 

  35. Hager, E. R., Cockerham, A., O’Reilly, N., et al. (2017). Food swamps and food deserts in Baltimore City, MD, USA: Associations with dietary behaviours among urban adolescent girls. Public Health Nutrition, 20, 2598–2607.

    Article  PubMed  Google Scholar 

  36. Feeding America. (2018). Mobile food pantry program. Chicago: Feeding America.

    Google Scholar 

  37. Flournoy, R. (2011). Healthy food, Healthy communities: Promising strategies to improve access to fresh, healthy food and transform communities. Oakland: PolicyLink.

    Google Scholar 

  38. Moore, L. V., & Diez Roux, A. V. (2006). Associations of neighborhood characteristics with the location and type of food stores. American Journal of Public Health, 96, 325–331.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

This research uses data from Add Health, a program project directed by Kathleen Mullan Harris and designed by J. Richard Udry, Peter S. Bearman, and Kathleen Mullan Harris at the University of North Carolina at Chapel Hill, and funded by Grant P01-HD31921 from the Eunice Kennedy Shriver National Institute of Child Health and Human Development, with cooperative funding from 23 other federal agencies and foundations. Special acknowledgment is due Ronald R. Rindfuss and Barbara Entwisle for assistance in the original design. Information on how to obtain the Add Health data files is available on the Add Health website (http://www.cpc.unc.edu/addhealth). No direct support was received from Grant P01-HD31921 for this analysis.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alexander Testa.

Ethics declarations

Conflict of interest

Authors do not have any conflicts of interest including financial interests or relationships or affiliations relevant to the subject of the manuscript.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Testa, A., Jackson, D.B. Food Insecurity, Food Deserts, and Waist-to-Height Ratio: Variation by Sex and Race/Ethnicity. J Community Health 44, 444–450 (2019). https://doi.org/10.1007/s10900-018-00601-w

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10900-018-00601-w

Keywords

Navigation