Clinical review: Implementation of trauma informed care to optimally impact the treatment of childhood obesity

Role of Adverse Childhood Experiences in the Onset of Overweight/Obesity

PURPOSE OF REVIEW

The goal of this chapter was to summarize the literature on childhood adversity and obesity, discuss treatment implications with a case example, and provide recommendations for trauma-informed care for clinicians who work with individuals living with obesity.

RECENT FINDINGS

Adversity in childhood is related directly and indirectly to obesity development. Upstream contributors like adverse childhood experiences (ACEs) and other factors can lead to experiences of toxic stress and increased allostatic load, resulting in downstream effects of obesity and other chronic health conditions. A well-established literature has linked ACEs and obesity suggesting complex interactions between genetic, biological, behavioral, mental health, social, and environmental factors and obesity. Trauma-informed care strategies can be used to optimize care for individuals living with obesity. Care pathways should include individual (clinician) and systemic (organizational) evidence-based interventions.

The role of adverse childhood experiences in obesity among adolescents with autism spectrum disorder: National survey of Children's health 2018-2019

BACKGROUND

Adolescents with autism spectrum disorder (ASD) are at an increased risk of overweight/obesity and adverse childhood experiences (ACEs).

OBJECTIVE

This study examined whether ACEs increased the odds of overweight/obesity in adolescents with ASD.

METHODS

This cross-sectional study used National Survey of Children's Health (NSCH) 2018-2019 data (N = 31,533 children ages 10-17 years, including n = 480 children with mild ASD and n = 423 children with moderate/severe ASD with normal or overweight/obese BMI). Parent-reported body mass index (BMI) was coded as overweight/obesity vs. normal weight. The independent variable was the count of nine ACEs. Binary logistic regression was conducted, controlling for social ecological factors.

RESULTS

The odds of overweight/obesity in adolescents with ASD with 1-2 ACEs (OR 1.3, CI 1.1-1.4) and 3+ ACEs (OR 1.6, CI 1.3-2.0) were higher than those with 0 ACEs; odds increased with higher counts of ACEs. Household income level was the most significant sociodemographic influence on odds of obesity in adolescents with ASD (0-99 % Federal Poverty Level: OR 1.9, CI 1.6-2.3). Adolescents with moderate/severe ASD (OR 1.7, CI 1.2-2.5) and mild ASD (OR 1.6, CI 1.0-2.4) had higher odds of overweight/obesity after accounting for ACEs, race/ethnicity, sex, household income, and physical activity.

CONCLUSION

Findings indicated ACEs are associated with ASD, which calls for integration of ACEs information within trauma-informed care practices for obesity prevention and intervention for adolescents with ASD. Persistent disparities of overweight/obesity exist by race/ethnicity, sex, and household income within this population, which indicates the need for tailoring trauma-informed approaches to the unique needs of this population.

Assessment of Adverse Childhood Experiences and Social Determinants of Health: A Survey of Practices in Pediatric Weight Management Programs

Introduction: Adverse childhood experiences (ACEs) and social determinants of health (SDoH) are associated with increased incidence of pediatric obesity. Recent literature highlights an imperative need to assess ACEs and SDoH among youth and families with obesity to identify those individuals requiring targeted interventions. The primary objective of the present study was to examine the frequency, methodology, and barriers in evaluation of ACEs and SDoH within pediatric weight management programs (PWMPs). Methods: Invitations were e-mailed to a comprehensive directory of 92 PWMPs in the United States with a link to complete an electronic survey. Results: Forty-one PWMPs from 26 states completed the survey. Assessment of one or more ACEs and SDoH was common and typically took place during the initial patient visit by the psychologist or medical practitioner through unstructured conversations. Reported barriers to assessment included lack of time to assess and to follow-up, lack of clinic protocols, and inadequate referral resources. Programs offering bariatric surgery and those with embedded mental health clinicians reported fewer barriers to ACEs/SDoH referral resources, while family-based and healthy lifestyle-focused programs perceived more barriers related to insufficient support staff and time to follow-up with families. Conclusions: Most PWMPs assess a subset of ACEs and SDoH; however, approaches to assessment vary, are often unstructured, and several barriers remain to optimizing assessment and follow-up. Future research should evaluate standardized ACEs/SDoH assessment protocols, ideal workflow, and their impact on obesity treatment and related health outcomes.

Weight stigma and bias: A guide for pediatric clinicians

Introduction

Many children and adolescents with obesity experience weight stigma and bias, which can have detrimental mental health, medical, and social consequences. Weight stigma in the healthcare setting threatens the therapeutic relationship between health care providers and their pediatric patients and families.

Methods

Data supporting this guidance were derived from cited references.

Results

Based upon referenced citations, this review offers 7 best practices for pediatric providers to work to reduce weight stigma including: assess for personal weight bias, improve communication, provide a welcoming clinic environment, seek out additional training and informative experiences, evaluate the messaging and culture of the organization, screen for trauma and bullying, and enlist the help of board-certified obesity medicine specialists.

Conclusions

Providers have an important role in mitigating the harmful effects of weight stigma. It is our hope these recommendations, as well as the other resources provided, will help providers to begin to address their own individual weight biases, as well as the institutional weight biases where we care for patients.