Purpose
To examine cross-sectional associations between food insecurity and 12-month eating disorders, mood disorders, and anxiety disorders among U.S. adults.
Methods
This study used data collected between 2001 and 2003 from 2914 participants in the National Comorbidity Survey-Replication, a nationally representative sample of U.S. adults (mean age = 44.9 years; 53.4% female). Twelve-month food insecurity was assessed with a modified version of the Short Form U.S. Household Food Security Scale. Twelve-month DSM-IV diagnoses of mental disorders were based on the World Health Organization Composite International Diagnostic Interview. Modified Poisson regression models were conducted, adjusting for age, sex, race/ethnicity, education, and income-to-poverty ratio.
Results
Food insecurity was experienced by 11.1% of participants. Food insecurity was associated with greater prevalence of bulimic-spectrum eating disorders (prevalence ratio [PR] = 3.81; 95% confidence interval [CI] 2.26–6.42), mood disorders (PR = 2.53; 95% CI 1.96–3.29), and anxiety disorders (PR = 1.69; 95% CI 1.39–2.07).
Conclusion
Results indicate that food insecurity is associated with a range of internalizing mental disorders, though these findings should be confirmed with contemporary data to reflect DSM-5 diagnostic updates and the economic effects of the COVID-19 pandemic. Findings from this study emphasize the need to expand food insecurity interventions and improve access to mental health services for food-insecure populations.
Supplementary Information
The online version contains supplementary material available at 10.1007/s00127-021-02126-5.
Objective:
To explore explicit beliefs about the controllability of obesity and the internalisation of negative weight-related stereotypes among public health trainees.
Design:
Cross-sectional online survey assessing explicit beliefs about the controllability of obesity using the Beliefs About Obese Persons Scale (BAOP) and internalisation of weight bias using the Modified Weight Bias Internalization Scale (WBIS-M). Bivariate associations between BAOP and WBIS-M scores and demographic characteristics were examined using t tests or ANOVA with post hoc Tukey’s tests.
Setting:
School of Public Health at a large, Midwestern University.
Participants:
Public health students (n 322).
Results:
Relative to students who identified as male, those who identified as female had a stronger belief that obesity is not within the control of the individual (P = 0·03), yet had more internalisation of weight bias (P < 0·01). Greater weight bias internalisation was also seen among students who perceived themselves to be of a higher weight status (P < 0·001) and those who were at risk for food insecurity (P < 0·01).
Conclusions:
Public health trainees may be more attuned to the complexities of weight relative to trainees in other health-related fields, but are still susceptible to internalisation of negative weight-related stereotypes.
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