The economic and social costs of body dissatisfaction and appearance-based discrimination in the United States.

This study estimated the social and economic costs of body dissatisfaction and appearance-based discrimination (specifically, weight and skin-shade discrimination) in the United States (USA) in the 2019 calendar year. We used a prevalence-based approach and a cost-of-illness method to estimate the annual cost of harmful appearance ideals for cases of body dissatisfaction and discrimination based on weight and skin shade. Impacts on conditions/illnesses such as eating disorders that are attributable to body dissatisfaction, weight discrimination and skin-shade discrimination were identified through a quasi-systematic literature review, which captured financial, economic, and non-financial costs. For each impact attributable to body dissatisfaction or appearance-based discrimination, annual health system and productivity costs (or labor market costs) were primarily estimated by using a population attributable fraction methodology. Only direct costs that resulted from body dissatisfaction and appearance-based discrimination were included (for example, costs associated with conditions such as depression attributable to body dissatisfaction or appearance-based discrimination). In contrast, indirect costs (e.g. costs associated with a health condition developed following skin bleaching, which was undertaken as a result of body dissatisfaction) were not included. In 2019 body dissatisfaction incurred $84 billion in financial and economic costs and $221 billion through reduced well-being. Financial costs of weight discrimination and skin-shade discrimination were estimated to be $200 billion and $63 billion, respectively, and reduced well-being was estimated to be $206.7 billion due to weight discrimination and $8.4 billion due to skin-shade discrimination. Sensitivity testing revealed the costs likely range between $226 billion and $507 billion for body dissatisfaction, between $175 billion and $537 billion for skin-shade discrimination, and between $126 billion and $265 billion for weight discrimination. This study demonstrates that the prevalence and economic costs of body dissatisfaction and weight and skin-shade discrimination are substantial, which underscores the urgency of identifying policy actions designed to promote prevention.

Appearance ideals in the USA have been widely critiqued for placing unfair burden on people of color and women of all race/ethnicity groups, but little is known about the economic consequences of biased appearance standards. To attain a comprehensive understanding of the economic impact of these harmful appearance ideals on the US economy, we estimated the one-year financial, economic and non-financial costs to the economy caused by body dissatisfaction, weight discrimination, and skin-shade discrimination. We considered a wide range of costs, including costs to the healthcare system, workplace, and other costs for individuals, households, employers, and government. We found that the impact of harmful appearance ideals on the USA economy is substantial. In 2019 body dissatisfaction incurred $84 billion in financial and economic costs and $221 billion through reduced well-being. Financial costs of weight discrimination and skin-shade discrimination were estimated to be $200 billion and $63 billion, respectively, and reduced well-being was estimated to be $207 billion due to weight discrimination and $8 billion due to skin-shade discrimination. Women of all race/ethnicity groups bore the bulk of the burden, shouldering 58% of the costs for body dissatisfaction and 66% for weight discrimination. Women bore 50% of the costs for skin-shade discrimination. These costs are substantial and underscore the urgency of identifying effective policy actions to reduce the damaging effects of harmful appearance ideals.

Cross-sectional and longitudinal associations between higher weight and eating disorder risk among collegiate athletes.

OBJECTIVES: To examine whether higher weight status is associated with increased eating disorder risk in athletes. DESIGN: Study 1 used cross-sectional (N = 942) and longitudinal (N = 483) data collected over a five-year period from Division I athletes at a Midwestern university. Study 2 used cross-sectional data from athletes competing at various levels at universities across the United States (N = 825). METHODS: Weight and height were measured in Study 1 and self-reported in Study 2; higher weight was defined as body mass index ≥ 25 kg/m2. Eating disorder risk was assessed with preliminary (Study 1) and final (Study 2) versions of the Eating Disorders Screen for Athletes. Study 1 examined weight status in relation to both concurrent and one-year changes in Eating Disorder Screen for Athletes score. Study 2 examined weight status in relation to both the Eating Disorders Screen for Athletes score and elevated eating disorder risk using the established Eating Disorders Screen for Athletes cut-off. All models adjusted for gender and sport type; Study 2 additionally adjusted for race/ethnicity, age, and competition level. RESULTS: Across studies, higher weight status was significantly associated with increased eating disorder risk among athletes. This association was observed both cross-sectionally and longitudinally, and the prevelence of elevated eating disorder risk was 43 % greater among athletes with higher weight status than among those without higher weight status. CONCLUSIONS: Despite existing stereotypes that eating disorders tend to occur with low weight status, findings highlight the importance of screening all athletes for eating disorders, regardless of their weight status.

Outcome of BMI2+: Motivational Interviewing to Reduce BMI Through Primary Care AAP PROS Practices.

BACKGROUND: Pediatric obesity rates in the United States remain at an all-time high. Pediatric primary care clinicians and registered dietitians can help treat childhood obesity, and motivational interviewing (MI) has shown promising effects in prior trials. METHODS: We randomized 18 pediatric primary care practices to receive the Brief Motivational Interviewing to Reduce BMI or BMI2+ intervention or continue with usual care (UC). Practices were recruited through the American Academy of Pediatrics Pediatric Research in Office Settings network. The intervention comprised 4 components1: in-person and telehealth MI counseling by pediatric clinicians; 4 recommended sessions,2 6 telephone MI counseling sessions from a registered dietitian,3 text message reminders and tailored motivational messages, and4 parent educational materials. The main outcome was the change in the percentage of the 95th percentile of BMI. The study was conducted 2017 through 2021. RESULTS: There was a significant treatment x time interaction (b = 0.017, 95% confidence interval: [0.0066-0.027]) for the main outcome, favoring the UC group, with youth in the intervention arm showing a greater relative increase in their percent of the 95th percentile. CONCLUSIONS: There was no overall benefit of the intervention and, contrary to expectations, youth in the intervention arm gained more weight, based on percent of the distance from the 95th percentile than matched youth from UC practices. The absolute excess weight gain among intervention relative to UC youth was small, approximately 0.5 BMI units and 1 kg over 2 years. We offer several potential explanations for these unexpected findings.

Competitive Foods' Nutritional Quality and Compliance with Smart Snacks Standards: An Analysis of a National Sample of U.S. Middle and High Schools.

Snacks and beverages are often sold in addition to meals in U.S. schools ("competitive foods"), but their current nutritional quality and compliance with national Smart Snacks standards are unknown. This study assessed competitive foods in a national sample of 90 middle and high schools. Differences in compliance by school characteristics were measured using mixed methods analysis of variance. Overall, 80% of the schools in the sample sold competitive foods; but they were less commonly available in schools with universal free school meal (UFSM) policies. A total of 840 unique products were documented and, on average, 75% were compliant with Smart Snacks standards. A total of 56% aligned with recommended added sugar limits (<10% of calories); and 340 unique products (40%) aligned with both sugar and Smart Snacks standards. Approximately one-fifth of competitive foods contained synthetic dyes, and 31% of beverages contained artificial sweeteners. Smart Snacks standards compliance was greater when competitive foods were overseen by food service departments, in comparison with others (e.g., principals, student organizations, or outside vendors [77% vs. 59% compliance; p = 0.003]). Therefore, district wellness policies should consider requiring food service departments to oversee competitive foods. Federal and state policies should limit added sugars, artificial sweeteners, and synthetic dyes. This appears to be highly feasible, given the substantial number of products that meet these criteria. UFSM policies should also be considered to support healthier school meal environments more broadly.

Weight Stigma Associated With Mental Health Concerns Among College Students.

INTRODUCTION: Weight stigma is widespread and exists across numerous domains including health care, educational institutions, workplaces, mass media, and interpersonal relationships. Weight stigma experienced during the college years may be particularly consequential because the college years are a period of increased vulnerability for the development of mental health concerns. The purpose of the present study was to examine how experiences of weight stigma relate to mental health concerns, including symptoms of eating disorders, anxiety, and depression, among college students. METHODS: Prevalence of interpersonal and anticipated weight stigma was examined among 2,707 students participating in the 2018-2019 and 2019-2020 Healthy Minds Study and tested for differences in prevalence across student characteristics. Logistic regression was used to explore relationships between measures of weight stigma and student mental health. Analyses were conducted in 2021-2023. RESULTS: Interpersonal and anticipated weight stigma were reported by 12.3% and 15.3% of students, respectively. Experiences of interpersonal and anticipated weight stigma were generally lowest among cisgender male students, heterosexual students, those with the fewest financial concerns, and those who did not perceive themselves to be "overweight." Both interpersonal and anticipated weight stigma were associated with elevated odds of high weight concerns, past-month binge eating, past-month purging, high eating disorder risk, moderate/severe anxiety symptoms, and moderate/severe depressive symptoms. CONCLUSIONS: Findings implicate interpersonal and anticipated weight stigma as potential risk factors for a range of mental health concerns. Weight stigma is an under-recognized and under-funded public health problem.

Weight-inclusive, intuitive eating-based workplace wellness program associated with improvements in intuitive eating, eating disorder symptoms, internalized weight stigma, and diet quality.

INTRODUCTION: The use of weight-inclusive programming within a workplace wellness context remains understudied. METHODS: The present study is a pilot/feasibility study of a 3-month, virtual, weight-inclusive, intuitive eating-based workplace wellness program. Program participants (n = 114), who were all employees at a large public university in the Midwest, received weekly emails with a link to an instructional video related to intuitive eating and were encouraged to meet virtually with their health coach. Participants provided self-report data on behavioral and psychological outcomes including intuitive eating, internalized weight stigma, eating disorder symptoms, and diet quality at baseline, post-intervention (3 months from baseline), and follow-up (6 months from baseline). Changes in behavioral and psychological outcomes from baseline to post-intervention and follow-up were examined using paired t-tests, with Cohen's d effect sizes reported. Generalized linear models were used to examine whether participant characteristics and program engagement were associated with program outcomes. RESULTS: Increases in intuitive eating and decreases in internalized weight stigma and eating disorder symptoms were seen from baseline to post-intervention (Cohen's d = 1.02, -0.47, and -0.63, respectively) and follow-up (Cohen's d = 0.86, -0.31, and -0.60). No changes in dietary quality were seen at post-intervention, but a significant reduction in intake of added sugars, fast food, and sugar sweetened beverages were observed at follow-up (Cohen's d = -0.35, -0.23, -0.25). CONCLUSIONS: This study provide preliminary support for the acceptability and potential impact of a weight-inclusive workplace wellness program that should be tested in a rigorous randomized trial.

A new tool to capture dimensions of family dinners in relation to adolescent health and risk-related outcomes: The 'Family Dinner Index'.

There is a strong association between family meals and child and adolescent health. To systematically understand the associations between family meals with a variety of health and risk outcomes, we developed and conducted a validation study of child- and parent-versions of the Family Dinner Index (FDI; FDI-C/FDI-P). We validated the measures with a national sample of 2,090 parent-child dyads. Using factor analysis, we reduced the initial FDIs each to eight items representing communication, enjoyment, and digital distractions; the FDI-C also included meal logistics and the FDI-P, family bonding. Using multivariable log-binomial regression models, we examined the relationships between FDI scores and substance use, violence, weight perception, weight control intention, and health indicators. Children who scored ≥21 on the FDI-C had a significantly lower average prevalence of a 'negative outcome' composite, as well as a lower prevalence of each of the individual behaviors. Children of parents who scored ≥24 on the FDI-P had a significantly lower average prevalence of the 'negative outcome' composite, as well as a lower prevalence of substance use indicators, negative weight perception and intentions to lose weight, less than daily fruit and vegetable consumption, and not meeting guidelines for physical activity. The FDI measures provide support for face and content validity, as well as concurrent criterion validity and construct validity. Further validation with these measures using a longitudinal design will allow for the establishment of predictive validity. Currently, the FDI measures may help researchers and practitioners identify points of emphasis for tailoring family-based prevention programs accordingly.

Eating disorder risk in rural US adolescents: What do we know and where do we go?

Adolescence is a vulnerable period for the development of eating disorders, but there are disparities in eating disorder risk among adolescents. One population that may be at increased risk but is vastly understudied, is adolescents residing in rural regions within the United States. Rural communities face many mental and physical health disparities; however, the literature on rural adolescent eating disorder risk is nearly nonexistent. In this paper we summarize the scant literature on disordered eating and eating disorder risk and prevalence among rural US adolescents. We also detail eating disorder risk factors that may have unique influence in this population, including socioeconomic status, food insecurity, healthcare access, body image, and weight stigma. Given the presence of numerous eating disorder risk factors, we speculate that rural adolescents may be a particularly vulnerable population for eating disorders and we propose critical next steps in research for understanding eating disorder risk among the understudied population of rural adolescents. PUBLIC SIGNIFICANCE: Rural adolescents may be at increased risk for eating disorders due to disproportionate burden of known risk factors, though this relationship remains understudied. We present a summary of the literature on prevalence and unique risk factors, proposing that this may be a high-risk population. We detail next steps for research to understand eating disorder risk in this population to inform future prevention, identification, and treatment efforts needed in this community.

Unraveling the meaning of weight misperception in a sample of college students: Unaware or body satisfied?

Weight misperception has been seen as a threat to public health. We aimed to understand the meaning of weight misperception by examining associations of weight perception with body satisfaction and body awareness along with healthy ideals and culturally normative body ideals. Undergraduates with higher weights at a Mid-South University (n = 166) completed survey measures that included: weight status perception ("How do you think of yourself in terms of weight?"), self-reported weight and height (used to indicate awareness), current and ideal body size using Figure Rating Scales (FRS), three measures of body satisfaction (difference between current and ideal figures on FRS, Appearance Evaluation subscale of the Multidimensional Body Self-Relations Questionnaire, Body Dissatisfaction subscale of the Eating Disorder Inventory-3). Height and weight were also measured. Thirty percent (n = 49) of participants perceived themselves as 'healthy' weight and 70 % (n = 117) perceived themselves as above healthy weight. In bivariate analyses, there were no significant differences in identification of healthy or culturally normative body ideals by weight perception group. A series of logistic regression models were run to examine associations between weight perception and both BMI awareness and body satisfaction. In unadjusted and adjusted models, increased body satisfaction was associated with reduced odds of perceiving oneself above healthy weight (OR: 0.25, p < 0.001); BMI awareness was not associated with weight misperception. Findings suggest that weight misperception reflects body satisfaction, and not a lack of awareness of body weight/size, definitions of healthy bodies, or culturally normative body ideals. "Correcting" individuals who perceive their bodies as about right has the potential to cause great harm and should be eliminated as a public health goal.

Weight stigma and physical activity avoidance among college-aged students.

This study explored cross-sectional associations between prior weight stigma experiences, physical activity (PA) intentions, behaviors, and the acute effects of a weight stigma exposure on PA intentions and behaviors among undergraduate students. Weight-stigma experiences and behavioral intentions were self-reported. Moderate-to-vigorous PA and total PA were assessed using accelerometry. Participants were randomized into two experimental conditions (a weight stigma or control condition) to assess the acute effects of a weight stigma exposure. Forty-nine students (81.6% female; 59.2% Non-Hispanic White; 19.6 ± 1.1 years of age; body mass index: 23.9 ± 4.0 kg/m2) completed the study. Prior weight stigma experiences were positively associated with PA avoidance (ß = 12.1 ± 2.7; p < .001) but were not associated with positive PA intentions or behaviors (ps > .05). There were no differences in positive PA intentions, PA avoidance, or PA behaviors across conditions (all ps > .05). Future studies should examine the long-term effects of weight stigma on PA avoidance and objectively measured PA in young college students.

Adolescent and emerging adult perceptions of eating disorder severity and stigma.

OBJECTIVE: Eating disorders are one of the deadliest mental health conditions, yet most individuals with eating disorders never receive treatment. Previous research has explored barriers to treatment among individuals diagnosed with eating disorders, but little is known about general adolescent and emerging adult perceptions of eating disorders, as compared to other mental health illnesses, a population at greatest risk for developing an eating disorder, and a population that may be important sources of information or support for peers. METHOD: A sample of adolescents and emerging adults aged 14-24 years (mean age 19 years) from MyVoice, a national text-message-based cohort (53% female, 38% male, 9% other, race/ethnicity 63% White, 10% Black or African American, 13% Asian, 9% Mixed Race, and 5% Other) provided open-ended responses to questions on the severity of eating disorders as compared to other mental health diagnoses, others' perceptions of eating disorders and potential treatment barriers. Responses were collected using a secure online platform and analyzed using content analysis. RESULTS: Among respondents (n = 792/1283), 91% felt that eating disorders were a mental health condition and 65% felt that eating disorders were as serious as other mental health conditions, while 21% said they were more serious than other mental health conditions. Responses to questions related to perception and barriers illustrated that beliefs of eating disorders involve blame, stigma, and overall lack of understanding. DISCUSSION: Findings from this study illustrate that there is a lack of understanding around eating disorders that could be addressed in youth-focused initiatives. PUBLIC SIGNIFICANCE: Adolescents and emerging adults understand that eating disorders are severe mental illnesses that are not taken seriously by others, especially in comparison with other mental health diagnoses. Adolescents and emerging adults report that individuals with eating disorders are blamed for their condition and face shame and stigma. The lack of understanding around eating disorders should be addressed in youth-focused prevention initiatives.

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.

Content analysis of the impact of COVID-19 on weight and shape control behaviors and social media content of U.S. adolescents and young adults.

OBJECTIVE: The current study examines impacts of the COVID-19 pandemic on weight/shape control behaviors among adolescents and young adults in the U.S., and perceived changes to related social media content. METHOD: A sample of youth (14-24 years) from MyVoice, a national text-message-based cohort, provided open-ended responses to questions on changes in eating and exercise habits due to concern about weight/shape, and social media content related to weight/shape, during the pandemic. Responses were collected using a secure online platform and analyzed using content analysis. RESULTS: Among respondents (n = 939/1153, response rate = 81%), 40.0% adopted behaviors for the purpose of weight/shape control during the pandemic. Nearly half (49.2%) reported seeing posts about weight/shape on social media during the pandemic. DISCUSSION: Findings from this study indicate that weight/shape concerns among adolescents and young adults in the U.S. may have increased due to the COVID-19 pandemic, with social media content as a potentially contributing factor.

Racial differences in psychological stress and insulin sensitivity in non-Hispanic Black and White adolescents with overweight/obesity.

INTRODUCTION: Racial differences in type 2 diabetes risk persist among non-Hispanic Black and non-Hispanic White adolescents with overweight/obesity; however, the role of psychological stress in this disparity is less clear. PURPOSE: To examine racial differences in the association between psychological stress, insulin sensitivity (Si), acute insulin response to glucose (AIRg), and disposition index (DI) among non-Hispanic Black and non-Hispanic White adolescents with overweight/obesity. METHODS: Ninety-six adolescents (60% female; 51% non-Hispanic Black; 16.6 ± 1.8 years of age) with overweight/obesity (BMI percentile ≥ 85th percentile) were included in this analysis. Psychological stress was assessed using the 14-item Perceived Stress Scale. Glucose and insulin data from an intravenous glucose tolerance test was modeled to obtain Si, AIRg, and DI. Multivariable linear regression models were used to examine the association between race, psychological stress and metabolic outcomes (Si, AIRg, and DI). RESULTS: Race was a significant predictor of log-AIRg and log-DI (ps < 0.05) independent of all covariates in the main effect models. Lower Si (pinteraction = 0.014) and DI (pinteraction = 0.012) was also observed among Black adolescents who reported higher stress levels, whereas higher Si and DI was observed among non-Hispanic White adolescents reporting higher stress in the race interaction models. Race however, did not moderate the association between psychological stress and AIRg (p > 0.05), nor was stress associated with Si, AIRg, or DI ("p" "s" > 0.05) across all other models. CONCLUSIONS: Psychological stress may play an important and distinct role in shaping racial differences in type 2 diabetes risk among adolescents with overweight/obesity. Additional research is needed to understand the long-term effects of psychological stress on metabolic health among non-Hispanic Black and non-Hispanic White adolescents with overweight/obesity.

Dietary self-monitoring is associated with increased likelihood of problematic alcohol use among college students.

Objective: To assess the relationship between dietary self-monitoring and problematic alcohol use including binge drinking, increased body confidence while drinking, and restricting food intake to compensate for alcohol consumption, among college students. Participants: Undergraduate and graduate students from 12 US colleges participating in the Healthy Bodies Study in 2013-2014 and 2014-2015 school years (n = 10,133). Methods: Weighted prevalence was calculated for dietary self-monitoring and problematic alcohol use. Gender-stratified logistic regressions were used to assess relationships. Results: Knowing nutrition facts was associated with restricting to compensate for alcohol consumption among women (OR = 2.42, p < .0001) and men (OR = 1.64, p = .002). Among women, knowing and counting calories predicted all problematic alcohol use behaviors. Among men, knowing calories was associated with restricting to compensate (OR = 2.69, p < .0001) and counting calories was associated with restricting to compensate (OR = 5.10, p < .0001) and increased body confidence while drinking (OR = 2.25, p < .0001). Conclusions: Dietary self-monitoring predicts problematic alcohol use among college students, particularly women.

The scale matters: assessing body size with figure rating scales in a diverse sample of young adults.

PURPOSE: To explore intersectional differences in weight perception accuracy in a diverse sample of young adults using CDC-defined weight status labels and four separate figure rating scales (FRS). METHODS: This cross-sectional study of 322 18-25-year-olds with body mass index (BMI) ranging from 18.5 to 57.2 (MBMI = 26.01, SD = 6.46) enrolled participants as part of a larger university subject pool cohort in the U.S. MidSouth. Height and weight measurements were obtained. Participants (55% Black, 45% white; 74% female) selected images that best represented their current body size using four FRS and described their weight perception using five labels from "very underweight" to "very overweight/obese". Receiver operating characteristic (ROC) curve analyses were used to compare variability in classification of weight status by FRS and weight perception category across gender and race. RESULTS: Area under the curve (AUC) statistics indicated all scales were significantly better at classifying weight status than chance. Among Black females and Black males, the culturally adapted scale had the strongest discriminatory ability [(AUC = 0.93, SE = 0.02, p < 0.001, 95% CI = 0.89-0.97) and (AUC = 0.93, SE = 0.04, p < 0.001, 95% CI = 0.86-1.00), respectively]. Among white females, the silhouette scale had the strongest discriminatory ability (AUC = 0.93, SE = .03, p < 0.001, 95% CI = 0.88-0.99). Among white males, the photo-based scale had the strongest discriminatory ability (AUC = 0.84, SE = 0.06, p = 0.001, 95% CI = 0.71-0.96). Across all groups, weight perception labels were the weakest classifier of weight status. CONCLUSION: Weight perception labels are an ineffective method of assessing weight status and FRS accuracy varies by race and gender, suggesting the value of gender- and culturally tailored scales. LEVEL OF EVIDENCE: Level III. Evidence obtained from well-designed cohort or case-control analytic studies.

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.

Impacts of dietary self-monitoring via MyFitnessPal to undergraduate women: A qualitative study.

The present study explored college women's perceptions of how dietary self-monitoring alters eating and body image-related cognitions and behaviors. The sample consisted of undergraduate women (N = 20), aged ≥ 18 (mean = 21.9 ±â€¯6.6 years) from a cross-sectional qualitative study using semi-structured interviews conducted upon participants' completion of a randomized controlled trial testing the effects of dietary self-monitoring via the smartphone app, MyFitnessPal. Inductive content analysis was utilized to identify participants' perceptions of how engaging in dietary self-monitoring for one month impacted them. Participants' experiences dietary self-monitoring was highly variable, with some participants reporting increased negative feelings (n = 9), positive feelings (n = 7), or both (n = 2). Other notable findings included increases in weight and/or shape concerns (n = 10) and a number of changes in dietary intake and other behaviors. Participants indicated that dietary self-monitoring may be helpful when trying to lose weight but harmful if the behavior becomes obsessive or if the user has poor body image. Individual experiences with dietary self-monitoring varies widely, and while dietary self-monitoring may be a useful tool for some college women, use should be monitored to avoid possible harmful side effects.

Introducing Dietary Self-Monitoring to Undergraduate Women via a Calorie Counting App Has No Effect on Mental Health or Health Behaviors: Results From a Randomized Controlled Trial.

BACKGROUND: Strong positive relationships between dietary self-monitoring and eating disorder risk are seen in population-based, observational studies. However, current evidence cannot establish causality. Furthermore, little is known about other mental and behavioral health consequences of dietary self-monitoring among college women, a population vulnerable to eating disorders. OBJECTIVE: To determine if introducing dietary self-monitoring via a popular smartphone app to undergraduate women impacts eating disorder risk, other aspects of mental health, or health behaviors including dietary intake and physical activity. DESIGN: Randomized controlled trial. PARTICIPANTS/SETTING: Undergraduate women who had not engaged in dietary self-monitoring in the past year and who were at low-risk for an eating disorder participated between May and October 2019 (n = 200). INTERVENTION: Participants were randomly assigned to engage in dietary self-monitoring via MyFitnessPal for approximately 1 month or to receive no intervention. MAIN OUTCOME MEASURES: Self-report data on eating disorder risk, other mental health outcomes, and health behaviors were collected at baseline and post-intervention. STATISTICAL ANALYSES PERFORMED: Linear and logistic regressions were utilized to test hypotheses. RESULTS: Adherence to the intervention was high, with participants recording their dietary intake via MyFitnessPal on average 89.1% of days between baseline and post-intervention. Assignment to the intervention was not associated with changes in eating disorder risk, anxiety, depressive symptoms, body satisfaction, quality of life, nutritional intake, physical activity, screen time, or other forms of weight-related self-monitoring (all P > .05). CONCLUSIONS: Among dietary self-monitoring naive undergraduate women with low-risk of an eating disorder, dietary self-monitoring via MyFitnessPal for 1 month did not increase eating disorder risk, impact other aspects of mental health, or alter health behaviors including dietary intake. The null results in our study may be due to the selection of a low-risk sample; future research should explore whether there are populations for whom dietary self-monitoring is contraindicated.