Ten-year time trends in mental and physical health correlates of weight/shape overvaluation

Associations between weight/shape overvaluation, sociodemographic features and BMI: 10-year time trends

PURPOSE

To investigate the prevalence of overvaluation across sociodemographic features and weight status over time.

METHODS

The data included sequential cross-sectional surveys with representative samples of the adolescent and adult (15 years or older) population in South Australia. Five surveys that assessed overvaluation were conducted in the years 2005 (n = 3047), 2008 (n = 3034), 2009 (n = 3007), 2015 (n = 3005) and 2016 (n = 3047). Overvaluation was assessed by structured interview based on the Eating Disorder Examination. To examine unique effects of demographic variables on the likelihood to report overvaluation, and also to examine whether this varied as a function of time, a multivariate binary logistic regression was computed.

RESULTS

Across survey years, participants who were more likely to endorse overvaluation were female (2005: OR 2.85, CI 2.04-3.99; 2008/9: OR 1.74, CI 1.50-2.01; 2015/6: OR 1.54, CI 1.34-1.76), had a BMI > 30 (2005: OR 3.93, CI 1.49-10.34; 2008/9: OR 2.22, CI 1.31-3.78; 2015/6: OR 2.09, CI 1.19-3.67), had left school (2015/6: OR 1.36, CI 1.14-1.63), and lived in the country (2015/6: OR 1.95, CI 1.69-2.24). Being in the oldest age group was protective against endorsing overvaluation in each survey year. There was also a main effect of survey year, with participants in the 2015/6 survey more likely to endorse overvaluation (p < 0.001).

CONCLUSIONS

Female, young and obese people were more likely to endorse overvaluation; however, the prevalence of overvaluation increased significantly in all sociodemographic and BMI groups in since 2005-2016.

EVIDENCE-BASED MEDICINE

Level IV, evidence obtained from multiple time series with or without the intervention, such as case studies.

Leveraging general risk surveillance to reduce suicide in early adolescents: Associations between suicidality, disordered eating, and other developmental risk factors

OBJECTIVE

Suicide is a leading cause of death in early adolescents (i.e., children ages 11-14), underscoring the need for a more complex understanding of suicidality in youth. Syndemics framework posits that the overlap of multiple maladaptive behaviors (or risk factors) produces worse health outcomes compared to each behavior alone. The use of this framework in preventing suicide necessitates that identification of developmental risk factors that occur in tandem to suicide (e.g., disordered eating behaviors and substance use) may be important for intervening on those at greatest risk of suicide.

METHOD

The present study uses latent class analysis (LCA) to evaluate the relationship between suicidality and disordered eating behaviors in early adolescence, and associations with other developmental risk factors in an epidemiological sample of middle school students (N = 3,811).

RESULTS

Lifetime prevalence ranged from 6.8% to 18.2% for suicidality, and 5.3%-48.7% for disordered eating behavior. Our final model identified six independent classes, and each class had differential associations with several additional developmental risk factors.

CONCLUSION

By pinpointing specific classes of individuals who may be at risk for multiple developmental risk factors, our results have important implications for public health intervention and prevention efforts for a wide range of adolescent risk behaviors, including suicidality.

Bariatric and Cosmetic Surgery in People with Eating Disorders

Rates of eating disorders (EDs) are increasing in Australia, as are rates of bariatric and cosmetic surgery including weight-related procedures. It is known that binge eating disorder (BED) is common in bariatric surgery candidates and that people with EDs are likely to undergo weight-related cosmetic procedures, however, most of the literature is based on clinic samples and focuses on young women and BED. Aims of this study were to determine the prevalence of (1) actual or intended bariatric surgery and (2) actual or intended cosmetic surgery including weight-related procedures in people with a current ED and a lifetime history of BED or bulimia nervosa (BN), and the associations with actual or intended bariatric or cosmetic surgery and demographic features. Using a general population survey, 2977 individuals were interviewed regarding sociodemographic status, ED symptoms, mental health-related quality of life (MHRQoL) and actual or intended use of bariatric and cosmetic surgery, prevalence estimates of which were 2.0% and 1.1%, respectively. People who had planned or received either type of surgery were more likely to be (1) women and (2) have a higher BMI, (3) poorer MHRQoL and (4) a current ED, lifetime BN or BED or features of EDs (all p < 0.05). Age and household income were not significantly associated with increased use of either type of surgery. Given the potential for an ED to affect outcomes of surgery, screening and treatment for EDs should be considered in such surgical candidates.

Not all body image constructs are created equal: Predicting eating disorder outcomes from preoccupation, dissatisfaction, and overvaluation

OBJECTIVE

Diverse terminology has been used to operationalize body image disturbance in eating disorders. However, the differential validity of these terms and their underlying constructs to predict outcomes among heterogeneous eating disorders is unknown. This study evaluated the validity of body image constructs to predict eating disorder and negative psychological symptoms concurrently and prospectively over 2 years in a transdiagnostic clinical sample.

METHODS

Women with heterogeneous eating disorder diagnoses (n = 448) completed assessments at baseline, 12-month, and 24-month follow-up. Cross-sectional and cross-lagged generalized linear models examined effects of three body image constructs (i.e., weight and shape preoccupation, overvaluation, and dissatisfaction) on concurrent and subsequent outcomes (i.e., global eating disorder symptoms, binge eating, purging, fasting, self-esteem, and depression).

RESULTS

In concurrent analyses, preoccupation was significantly associated with all outcomes (ps = .01 to <.001), overvaluation with all outcomes (ps = .01 to <.001) except binge eating (p = .06), and dissatisfaction with all outcomes (ps < .001) except purging (p = .38). In prospective analyses, preoccupation predicted Eating Disorder Examination global (p = .003) and fasting (p < .001), overvaluation predicted binge eating (p = .01), and body dissatisfaction did not predict any outcomes.

DISCUSSION

Preoccupation, overvaluation, and dissatisfaction are differentially related to eating disorder and psychiatric outcomes, indicating that no one body image construct can capture clinical risk in eating disorders. Preoccupation was the most consistent concurrent and longitudinal predictor; this construct may warrant further attention in assessment and diagnosis. Further investigation of these constructs in diverse samples is encouraged.

Are bulimia nervosa and binge eating disorder increasing? Results of a population-based study of lifetime prevalence and lifetime prevalence by age in South Australia

OBJECTIVE

This study aimed to provide updated lifetime prevalence estimates of eating disorders, specifically bulimia nervosa (BN) and binge eating disorder (BED) and investigate changes over time in lifetime prevalence by age.

METHOD

Two thousand nine hundred seventy-seven participants from South Australia were interviewed in the Health Omnibus Survey. DSM-5 criteria were used for current and broad (in accord with the International Statistical Classification of Diseases and Related Health Problems-11 [ICD-11]) criteria for lifetime prevalence of BED.

RESULTS

This study found that the lifetime prevalence of BN was 1.21% (95% CI [0.87, 1.67]) and 2.59% (95% CI [2.07, 3.22]) for males and females, respectively, and that lifetime prevalence for BED-broad was 0.74% (95% CI [0.49, 1.11]) and 1.85% (95% CI [1.42, 2.40]) for males and females, respectively, which is higher than reported in previous research. Current prevalence (past 3 months) of BN was 0.40% (95% CI [0.23, 0.70]) and 0.81% (95% CI [0.54, 1.20]) for males and females, respectively, and current prevalence for BED was found to be 0.03 (95% CI [0.01, 0.04]) and 0.20% (95% CI [0.09, 0.44]) for males and females, respectively.

CONCLUSIONS

The current study confirmed the moderate community prevalence of BN and BED. BED was found to be less prevalent than BN in the present study, and a significant lifetime prevalence by age effect was found for both. Lifetime prevalence by age indicated that past increases in prevalence may be waning in this century and that overall BN and BED are not increasing in Australia.