Have Our Attempts to Curb Obesity Done More Harm Than Good?

Mitigating Weight Bias in the Clinical Setting: A New Approach to Care

Weight bias toward patients in larger bodies is pervasive among health care providers and can negatively influence provider-patient communication, as well as patients' behavior and health outcomes. Weight bias has historical roots that perpetuate thinness and Whiteness as the cultural norm. Although weight bias remains socially acceptable in US culture, contributing factors to an individual's body size are complex and multifactorial. Providers and health care systems also consistently use body mass index (BMI) as an indicator of health status, despite its limitations and harmful effects in the clinical setting. This state of the science review presents 8 evidence-based strategies that demonstrate how to mitigate harm from weight bias and improve quality of care and health outcomes for patients living in larger bodies. Person-centered approaches to care include (1) eliminating clinical recommendations to lose weight; (2) shifting from a focus on weight to health; (3) implementing a size and weight-inclusive approach; (4) engaging in weight bias self-evaluation; (5) creating a welcoming environment for patients of all sizes; (6) seeking permission and learning the patient's story; (7) using weight-inclusive language; and (8) re-evaluating clinical guidelines and policies based on BMI. Midwives and other health care providers may benefit from training that re-imagines the delivery of health care to patients in larger bodies.

Long-Term Results of a Digital Diabetes Self-Management and Education Support Program Among Adults With Type 2 Diabetes: A Retrospective Cohort Study

PURPOSE

The purpose of this study is to examine the long-term impact of a digital diabetes self-management education and support (DSMES) program on A1C among adults with type 2 diabetes (T2DM).

METHODS

Data analyzed were from a retrospective cohort of commercially insured members with T2DM enrolled in the Omada for Diabetes program between January 1, 2019, and January 31, 2022 (n = 1,322). Linear mixed models measured changes in A1C and weight across 12 months (collected at baseline and every 3 months over 1 year) overall and stratified by A1C at baseline (≥8% vs <8%).

RESULTS

On average, members were 53.5 years old, 56.9% female, and 71.5% White, with a mean baseline body mass index (BMI) of 36.9 and A1C of 7.6%. Members with baseline A1C ≥8% demonstrated clinically and statistically significant adjusted mean reductions in A1C during follow-up, from 9.48% at baseline to 7.33%, 7.57%, 7.59%, and 7.47% at 3, 6, 9, and 12 months, respectively. Those with A1C <8% maintained glycemic stability (6.73%, 6.50%, 6.54%, 6.62%, and 6.51%, respectively). Collectively, members experienced a -1.17 kg/m2 mean reduction in BMI over 12 months.

CONCLUSIONS

This study provides real-world evidence that members with elevated baseline A1C (≥8%) enrolled in a digital DSMES program experienced clinically meaningful and statistically significant reductions in A1C. Those with baseline A1C within goal treatment range (<8%) maintained glycemic stability over 1 year. The findings support existing evidence that scalable digital DSMES solutions can help individuals with T2DM manage their condition.

Prevention of high body mass index and eating disorders: a systematic review and meta-analysis

BACKGROUND

Eating disorders (EDs) and high body mass index (BMI) are two important public health issues with significant health and cost impacts. The aim of this systematic review and meta-analysis was to establish whether interventions are effective in preventing both issues.

METHODS

Electronic databases were searched up to 10 May 2021. Studies were included if they were randomised or quasi-randomised controlled trials that evaluated a preventive intervention (regardless of its aim to prevent ED, high BMI or both) and reported both EDs and BMI-related outcomes. Both narrative synthesis and meta-analysis were used to synthesise the results. Publication bias was also investigated.

RESULTS

Fifty-four studies were included for analysis. The primary aim of the studies was ED prevention (n = 23), high BMI prevention (n = 21) and both ED and high BMI prevention (n = 10). Meta-analysis results indicated that preventive interventions had a significant effect on several ED outcomes including dieting, shape and weight concerns, body dissatisfaction, negative affect, eating disorder symptoms and internalization, with effect sizes ranging from - 0.16 (95% CI - 0.27, - 0.06) to - 0.61 (95% CI - 0.29, - 0.04). Despite several studies that demonstrated positive impacts on BMI, there was no significant effect on BMI-related measures in the meta-analysis. The risk of publication bias was low for the majority of the pooled effect results.

CONCLUSION

Preventive interventions were effective for either high BMI or EDs. However, there is limited evidence to show that current preventive interventions were effective in reducing both outcomes. Further research is necessary to explore the risk factors that are shared by these weight-related disorders as well as effective prevention interventions.

LEVEL OF EVIDENCE

Level I: systematic review.

Prevalence, correlates, and gender disparities related to eating disordered behaviors among health science students and healthcare practitioners in Lebanon: Findings of a national cross sectional study

Background

The raised prevalence of eating disorders (ED) amongst health science students and health professionals is of mounting concern. This study aims to determine the prevalence and correlates of eating disorders risk amongst a sample of Lebanese health science students and healthcare practitioners of both genders.

Methods

This cross-sectional study enrolled a convenient sample of 1,000 participants (mean age: 23 ± 5.4; females: 74.9%) from faculties of health sciences, clinics, pharmacies, and hospitals. The validated Eating Attitudes Test (EAT-26) was used to screen for eating disorders. Anthropometric data were self-reported by respondents to assess their nutritional status.

Results

The risk of eating disorders was prevalent in 22.5% of participants. Females were at higher risk of ED compared to males p = 0.03. Eating disorders risk did not differ between students and practitioners (p = 0.3). The highest proportion of high-risk participants were students studying nutrition and practitioners (40.9%), outracing their counterparts in nursing (18.7%), medicine (17.8%), pharmacy (17.7%), and midwifery (4.9%) sciences (p = 0.02). Most high-risk participants had normal body weight (60.4%), and 28.9% were overweight (p = 0.001). Female gender, nutrition profession, and dieting were associated with increasing the odd of ED. Particularly, dieting increased the risk around five times. Further, each 3 participants over 10 were facing binge eating behavior.

Conclusion

This study uncovers an undervalued profession-related-health-disorder in Lebanese health science students and healthcare practitioners. Specific attention should be given to EDs in professional educational programmes across healthcare disciplines.