scholarly journals Weight misperception among young adults with overweight/obesity associated with disordered eating behaviors

2016 ◽  
Vol 49 (10) ◽  
pp. 937-946 ◽  
Author(s):  
Kendrin R. Sonneville ◽  
Idia B. Thurston ◽  
Carly E. Milliren ◽  
Holly C. Gooding ◽  
Tracy K. Richmond
Keyword(s):  
Young Adults ◽  
Disordered Eating ◽  
Eating Behaviors ◽  
Disordered Eating Behaviors ◽  
Weight Misperception

scholarly journals Prevalence and Correlates of Disordered Eating Behaviors Among Young Adults with Overweight or Obesity

2018 ◽  
Vol 33 (8) ◽  
pp. 1337-1343 ◽  
Author(s):  
Jason M. Nagata ◽  
Andrea K. Garber ◽  
Jennifer L. Tabler ◽  
Stuart B. Murray ◽  
Kirsten Bibbins-Domingo
Keyword(s):  
Young Adults ◽  
Disordered Eating ◽  
Eating Behaviors ◽  
Disordered Eating Behaviors ◽  
Overweight Or Obesity

scholarly journals Association Between Household Food Security and Disordered Eating Behaviors Among Young Adults with Diabetes: The SEARCH for Diabetes in Youth Study

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1419-1419
Author(s):  
Emahlea Jackson ◽  
Angela Liese ◽  
Catherine Pihoker ◽  
Faisal Malik ◽  
Jessica Jones-Smith ◽  
...  
Keyword(s):  
Young Adults ◽  
Food Security ◽  
Disordered Eating ◽  
Eating Behaviors ◽  
Household Food Security ◽  
Disordered Eating Behaviors ◽  
Household Food ◽  
Significant Difference ◽  
Youth Study ◽  
Diabetes In Youth

Abstract Objectives Examine the relationship between household food insecurity (HFS; i.e., access to nutritionally adequate and safe food) and disordered eating behaviors (i.e., restriction, bingeing, insulin manipulation, etc.) among a sample of young adults with youth-onset type 1 (T1D) or type 2 diabetes (T2D). Methods We used cross-sectional data from the SEARCH for Diabetes in Youth Study. Individuals (n = 792) ages ≥18 years completed the U.S. Household Food Security Survey Module and the Diabetes Eating Problem Survey-Revised (DEPS-R) between 2016 and 2019. We converted HFS scores to a 10-point scale and dichotomized scores into food secure (HFS ≤ 2.2) vs. food insecure (HFS > 2.2). Multivariable linear regression was used to evaluate the association of HFS with continuous DEPS-R score (i.e., 0–80, with a greater score indicating greater symptoms of disordered eating), adjusting for potential confounders (i.e., sex, age, race/ethnicity, education, household income, insurance, depressive symptoms, and duration of diabetes). We further stratified analyses by diabetes type. Results Participants were on average 23.8 ± 3.7 years, 59.6% female, 49.6% non-Latino white, and had a mean diabetes duration of 11.5 ± 3.1 years. The overall mean DEPS-R score was 17.3 ± 10.0 points. Mean DEPS-R scores in individuals living in food secure households (n = 709) and food insecure households (n = 83) were 16.6 ± 9.45 and 23.4 ± 12.4, respectively. The adjusted DEPS-R scores were 3.6 points (95% CI = 1.5, 5.7; P < 0.001) higher in food insecure compared to food secure households. In individuals with T1D (n = 600), the adjusted DEPS-R scores were 5.0 points (95% CI = 2.6, 7.4; P < 0.001) higher in food insecure (n = 55) compared to food secure (n = 545) households. In individuals with T2D (n = 192), there was no significant difference in mean DEPS-R scores between food insecure (n = 28) versus food secure (n = 164) households in unadjusted or adjusted models (P > 0.05). Conclusions Lower household food security in young adults with T1D, but not T2D, is associated with increased disordered eating scores. These results may allow clinicians and other public health professionals to target individuals with low household food security as being at higher risk for potential disordered eating, particularly those with T1D. Funding Sources NIDDK & CDC.

scholarly journals Predictors of muscularity‐oriented disordered eating behaviors in U.S. young adults: A prospective cohort study

2019 ◽  
Vol 52 (12) ◽  
pp. 1380-1388 ◽  
Author(s):  
Jason M. Nagata ◽  
Stuart B. Murray ◽  
Kirsten Bibbins‐Domingo ◽  
Andrea K. Garber ◽  
Deborah Mitchison ◽  
...  
Keyword(s):  
Young Adults ◽  
Cohort Study ◽  
Disordered Eating ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Eating Behaviors ◽  
Disordered Eating Behaviors

scholarly journals Self-weighing among young adults: who weighs themselves and for whom does weighing affect mood? A cross-sectional study of a population-based sample

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Samantha L. Hahn ◽  
Carly R. Pacanowski ◽  
Katie A. Loth ◽  
Jonathan Miller ◽  
Marla E. Eisenberg ◽  
...  
Keyword(s):  
Young Adults ◽  
Disordered Eating ◽  
Eating Behaviors ◽  
Large Population ◽  
Healthcare Providers ◽  
Emotional Valence ◽  
Population Based ◽  
Cross Sectional ◽  
Male And Female ◽  
Disordered Eating Behaviors

Abstract Background Self-weighing is widespread among young adults and is sometimes recommended by healthcare providers for weight management. The present study aims to deepen our understanding of who is frequently self-weighing among young adults, and to examine for whom self-weighing impacts mood based on weighing frequency and other eating and weight-related characteristics. Methods Survey data were collected from a large population-based sample of young adults (31.1 ± 1.6y) participating in Project EAT-IV (n = 1719). Cross-sectional data were stratified across sex and analyzed with chi-square, t-tests, and linear and logistic regressions controlling for age, ethnicity/race, education level, and income. Results Self-weighing frequency was higher among male and female young adults with a current eating disorder, those trying to lose weight or who endorsed any disordered eating behaviors or cognition, and females with higher BMI. Young adult females were significantly more likely than males to report that self-weighing impacted their mood (53% vs 27%, p < 0.05). Among both male and female young adults, there was a higher probability of participants reporting that self-weighing impacted their mood among those who were self-weighing more frequently, had higher BMI, were trying to lose weight, and endorsed disordered eating behaviors or cognitions. Conclusion Findings suggest that for many young adults, particularly females and those with weight-related concerns, self-weighing is a behavior that comes with emotional valence. The emotional consequences of self-weighing should be considered when making public health and clinical recommendations regarding the usefulness of self-weighing.

scholarly journals Disordered Eating Behaviors in Youth and Young Adults With Type 1 or Type 2 Diabetes Receiving Insulin Therapy: The SEARCH for Diabetes in Youth Study

Diabetes Care ◽  
2019 ◽  
Vol 42 (5) ◽  
pp. 859-866 ◽  
Author(s):  
Angel S.Y. Nip ◽  
Beth A. Reboussin ◽  
Dana Dabelea ◽  
Anna Bellatorre ◽  
Elizabeth J. Mayer-Davis ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Young Adults ◽  
Disordered Eating ◽  
Eating Behaviors ◽  
Disordered Eating Behaviors ◽  
Youth And Young Adults ◽  
Youth Study ◽  
Diabetes In Youth

scholarly journals Weight Goals, Disordered Eating Behaviors, and BMI Trajectories in US Young Adults

2021 ◽  
Author(s):  
Jonathan Chu ◽  
Kyle T. Ganson ◽  
Eric Vittinghoff ◽  
Deborah Mitchison ◽  
Phillipa Hay ◽  
...  
Keyword(s):  
Young Adults ◽  
Disordered Eating ◽  
Weight Control ◽  
Eating Behaviors ◽  
Community Sample ◽  
Mixed Effect ◽  
Disordered Eating Behaviors ◽  
Bmi Trajectories ◽  
Over Time

Abstract Background Community sample data indicate that weight control efforts in young adulthood may have associations with greater increases in body mass index (BMI) over time. Objective To determine the prospective associations between weight goals and behaviors in young adults and BMI trajectories over 15-year follow-up using a nationally representative sample. Design Longitudinal cohort data collected from 2001 to 2018 of the National Longitudinal Study of Adolescent to Adult Health. Participants Young adults aged 18–26 years old at baseline stratified by gender and BMI category. Main Measures Predictors: weight goals, any weight loss/maintenance behaviors, dieting, exercise, disordered eating behaviors. Outcomes: BMI at 7- and 15-year follow-up. Key Results Of the 12,155 young adults in the sample (54% female, 32% non-White), 33.2% reported a goal to lose weight, 15.7% to gain weight, and 14.6% to maintain weight. In unadjusted models, all groups have higher mean BMI at 7- and 15-year follow-up. In mixed effect models, goals to lose weight in men with BMI < 18.5 (5.94 kg/m2; 95% CI 2.58, 9.30) and goals to maintain weight in men with BMI ≥ 25 (0.44; 95% CI 0.15, 0.72) were associated with greater BMI increase compared to no weight goal. Engaging in disordered eating behaviors was associated with greater BMI increase in men with BMI < 18.5 (5.91; 2.96, 8.86) and women with 18.5 ≤ BMI < 25 (0.40; 0.16, 0.63). Dieting (− 0.24; − 0.41, − 0.06) and exercise (− 0.31; − 0.45, − 0.17) were associated with lower BMI increase in women with 18.5 ≤ BMI < 25. In women with BMI < 18.5, dieting was associated with greater BMI increase (1.35; 0.33, 2.37). Conclusions Weight control efforts may have variable effects on BMI over time by gender and BMI category. These findings underscore the need to counsel patients on the effectiveness of weight control efforts and long-term weight management.

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