289
Views
2
CrossRef citations to date
0
Altmetric
Research Article

“Like, What Else Could Go Wrong?” Multiple Contextual Stressors in Food Insecure Households

, , , , , , , & show all
Pages 386-407 | Published online: 07 Nov 2020
 

ABSTRACT

Food insecurity is often considered in isolation from other stressors, limiting our contextual understanding of individual or familial experiences. Hence, this study examined families in their unique contexts, recognizing the myriad of hardships they experienced. Informed by the cumulative risk framework, in-depth interviews were conducted with 59 caregivers recruited from food pantries in New York. Analytic induction techniques were used for data analysis. In addition to food insecurity, limited income and unemployment, mental health, physical health, and public assistance were identified. Most participants experienced multiple stressors concurrently. These findings have implications for developing interventions grounded in families’ experiences and needs.

Acknowledgments

We would like to thank all our participants who agreed to participate in our study. We would also like to thank Deana Morenoff, Elizabeth Cauchois, Emily Acuna, Helen Oko, and Cathy Canary who helped at different stages of this research project.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This project was funded by McSilver Institute Pilot Research Grant.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 146.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.