Caregiver-reported household food insecurity and child-reported food insecurity in relation to eating disorder risk factors and symptoms among preadolescent children.

OBJECTIVE: To examine the relation of caregiver-reported household food insecurity (FI) and child-reported FI with eating disorder (ED) risk factors and symptoms, including effect modification by gender, in preadolescent children. METHOD: Data were from the Family Food Study, a cross-sectional study of households with incomes ≤200% of the federal poverty line in southeastern Michigan. Children aged 8-10 years (n = 194) and their female primary caregivers reported separately on FI status. Children reported ED risk factors/symptoms via the 24-item Children's Eating Attitudes Test (ChEAT-24), with higher scores indicating more ED risk factors/symptoms. Linear mixed models were used to examine associations between FI measures with the ChEAT-24 total score, plus subscale scores for dieting, food preoccupation, weight preoccupation, vomiting, and social pressure to eat/gain weight. Models were adjusted for child age, child gender, caregiver race/ethnicity, caregiver education, and household income. RESULTS: Among all children, child-reported FI, but not caregiver-reported household FI, was associated with more ED risk factors/symptoms. Child-reported FI (vs. no FI) was associated with higher average ChEAT-24 total score (ß = 2.41, 95% CI: 0.57, 4.25). Child-reported FI was also associated with more food preoccupation, more weight preoccupation, and more social pressure to eat. Caregiver-reported household FI was marginally associated with less dieting in girls, and child-reported FI was associated with more dieting in boys. DISCUSSION: Child-reported FI may be more salient than caregiver-reported household FI as a risk factor for ED-related outcomes in preadolescent children. Gender may modify the association between FI and dieting behavior. PUBLIC SIGNIFICANCE STATEMENT: More child-reported food insecurity, but not parent-reported household food insecurity, was associated with more eating disorder risk factors and symptoms among preadolescent boys and girls. These findings emphasize the need for future studies that investigate the role of food insecurity in the development of eating disorders, especially studies that measure child-reported experience of food insecurity.

Greater social adversity is associated with more disordered eating attitudes and behaviors among children from Southeast Michigan.

OBJECTIVE: The objective of this study is to examine the association between indicators of social adversity, including socioeconomic status and race/ethnicity, and children's disordered eating behaviors and attitudes. METHODS: Children ages 8-10 years old (n = 183) were recruited from Michigan. Data were collected through in-home surveys. The Children's Eating Attitudes Test (ChEAT-24) measured disordered eating attitudes and behaviors in the sample. Cumulative social adversity was considered the sum of four binary variables: caregiver race/ethnicity, caregiver education, household income, and child-reported food security status. Linear mixed models examined the association between social adversity indicators and ChEAT-24 scores. RESULTS: Children of primary caregivers of color had significantly higher ChEAT-24 scores than children of white caregivers (p = .03). Children who reported food insecurity had significantly higher ChEAT-24 scores compared to children who reported food security (p = .01). Compared to children with the lowest social adversity score, children with the highest score had a 4.8-unit higher ChEAT-24 score (95% CI .3-9.4), after adjusting for covariates. A significant trend was observed for greater social adversity and higher ChEAT-24 score (p-trend = .02). CONCLUSION: A linear association was observed between greater social adversity and more disordered eating behaviors and attitudes among children in this sample. These findings emphasize the need for eating disorder research in children from racial/ethnic minorities and socioeconomically disadvantaged populations to support future prevention efforts. PUBLIC SIGNIFICANCE: Greater exposure to social adversity was associated with more disordered eating behaviors among preadolescent children. Given that eating disorders are understudied in lower-income and minority racial/ethnic populations, this study highlights the need for additional research to better support prevention and treatment efforts among children from socioeconomically diverse backgrounds.

Food insecurity and its associations with bulimic-spectrum eating disorders, mood disorders, and anxiety disorders in a nationally representative sample of U.S. adults.

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.

Students with Food Insecurity Are More Likely to Screen Positive for an Eating Disorder at a Large, Public University in the Midwest.

BACKGROUND: College students experience a disproportionately high prevalence of both food insecurity and eating disorders. Food insecurity is associated with stress, irregular eating patterns, weight change, depression, and body dissatisfaction, making it a possible risk factor for the onset of eating disorders. However, the association between food insecurity and eating disorders among college students is not well understood. OBJECTIVE: This study explored the relation between food insecurity and screening positive for an eating disorder among students attending a large, public Midwestern university. DESIGN: Cross-sectional data were collected using an online survey administered from March through June 2018. PARTICIPANTS/SETTING: Participants were recruited from a random sample of 2,000 students, with oversampling from the following groups: racial/ethnic minorities, first-generation students, and students from lower-income households. Of those sampled, 851 students (43%) responded. The final analytic sample comprised 804 students after excluding those with missing data. MAIN OUTCOME MEASURE: The validated 5-item Sick, Control, One stone, Fat, Food (SCOFF) questionnaire was used to screen for the presence of an eating disorder. STATISTICAL ANALYSES PERFORMED: Poisson regression was used to model prevalence ratios for positive SCOFF screens (≥2 affirmative responses) by levels of food security (ie, high, marginal, low, or very low). Models were adjusted for sex, age, race/ethnicity, degree type, financial aid, and first-generation student status. RESULTS: Compared to students with high food security, a higher prevalence of positive SCOFF screens was found among students with marginal food security (prevalence ratio [PR], 1.83, 95% CI 1.26 to 2.65; P = 0.001), low food security (PR 1.72, 95% CI 1.16 to 2.54; P = 0.007), and very low food security (PR 2.83, 95% CI 2.01 to 3.97; P < .0001). CONCLUSIONS: Students with food insecurity at any level were more likely to screen positive for an eating disorder via the SCOFF questionnaire. Prospective studies are needed to determine whether food insecurity is a risk factor for the onset of eating disorders among college students.

Parental perceptions of actual and ideal body weight in early childhood prospectively predict adolescent perceptions of actual and ideal body weight among a low-income population.

PURPOSE: To examine the longitudinal associations between parental perceptions of their child's actual weight (PPCA = parental perception of child's actual) and ideal weight (PPCI = parental perception of child ideal) in early childhood and the child's own perceptions of their actual weight (APA = adolescent perceived actual) and ideal weight (API = adolescent perceived ideal) during early adolescence among a low-income population. METHODS: Using a longitudinal study design, 136 child/parent pairs were asked to assess the child's actual and ideal weight using figure rating scales. When children were 4-7 years old, parents reported on their perception of their child's weight; when children were 10-12 years old, the child reported on their own weight perceptions. Actual weight, ideal weight, and the difference between ideal and actual weight perception were assessed at the respective timepoints. Regressions were used to examine the relationship between parental weight perceptions (PPCA and PPCI) and later adolescent weight perception (APA and API). RESULTS: On average, PPCI was higher than PPCA, whereas API was lower than APA. We found a positive relationship between PPCI and API (ß = 0.309, p = .029). PPCA was positively associated with API (ß = 0.304, p = .015) and marginally positively associated with the APA (ß = 0.242, p = .077). However, the difference between PPCI and PPCA did not predict either APA or API. CONCLUSIONS: Parental perception of their child's weight may relate to the adolescent's weight perception, particularly ideal weight. However, several null and marginal associations suggest that parental weight perception in early childhood may not be the most salient factor in determining weight perception in early adolescence. LEVEL OF EVIDENCE: Level III, well-designed longitudinal cohort study.

Weight bias among public health trainees.

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.

Adolescent stress: A predictor of dieting behaviors in youth with overweight/obesity.

OBJECTIVE: To examine associations between psychological stress and dieting behavior along with the heterogeneity of this association by gender and race in a diverse sample of adolescents with overweight/obesity. METHODS: One hundred and sixty-one adolescents between the ages of 13-19 years of age with overweight/obesity (65% female; 53% non-Hispanic black/47% non-Hispanic white; age: 16.7 ± 1.7 years) were recruited from Southeast MI and included in this analysis. Psychological stress was measured using the Perceived Stress Scale, and dieting behavior was assessed using the dieting subscale from the Eating Attitudes Test (EAT-26) questionnaire. Multivariable linear regression models were conducted to examine the association between psychological stress and dieting behavior by gender and race. RESULTS: Psychological stress was significantly associated with dieting (ß = 0.18 ± 0.06; p < 0.01), with greater stress associated with greater frequency of dieting behavior. This relationship remained significant (ß = 0.15 ± 0.06; p = 0.016), even when controlling for covariates (age, body fat, gender, race, and pubertal development). There were no statistically significant differences in the association of psychological stress and disordered eating indices by gender or race/ethnicity (p's > 0.05). CONCLUSIONS: Increased psychological stress is associated with increased dieting behavior among adolescents with overweight/obesity. These findings suggest that psychological stress equally affects dieting behavior among adolescents with overweight/obesity, regardless of gender and race. Future studies should seek to identify the unique sources of psychological stress that contribute to increased dieting behavior among adolescents with overweight/obesity.

Associations between Food Security Status and Diet-Related Outcomes among Students at a Large, Public Midwestern University.

BACKGROUND: Food insecurity is a growing issue of concern on college campuses. While many studies have focused on predictors of food insecurity, fewer studies have examined how food insecurity affects diet and diet-related outcomes among college students. OBJECTIVE: The objective of this study was to examine differences in dietary intake, food and cooking agency, and body mass index (calculated as kg/m2) by food security status in a sample of college students at a large, public midwestern university. DESIGN: We conducted a cross-sectional online survey administered from March to June 2018. PARTICIPANTS: Students were recruited from a random sample (n=2,000) provided by the university, which included an oversample of minority racial/ethnic students from lower-income households and first-generation students. The response rate was 43% (n=851). After excluding students with missing data, the final sample was 754 enrolled students. MAIN OUTCOME MEASURES: Food security status was measured using the US Adult Food Security Survey Module. Dietary intake was assessed using the National Cancer Institute dietary screener questionnaire. Cooking and food agency was measured using the Cooking and Food Provisioning Action Scale, a new validated questionnaire. Body mass index was calculated from self-reported height and weight. STATISTICAL ANALYSIS PERFORMED: Differences between food security categories and diet-related outcomes were examined using generalized linear models. Models adjusted for sociodemographic covariates, such as student's age, sex, race/ethnicity, and receipt of financial aid. RESULTS: Compared to students with high food security, low food security was associated with lower intake of fruits, and very low food security was associated with higher intakes of total added sugar and added sugar from sugar-sweetened beverages. Marginal and very low food security were positively associated with body mass index. Marginal, low, and very low food security were inversely associated with cooking and food agency. CONCLUSIONS: Students with food insecurity experience diet-related challenges that could translate into health disparities over time. More research is needed to understand the longitudinal effects of food insecurity on student health and well being.