Adolescent obesity and future substance use: Incorporating the psychosocial context

Understanding the bidirectional association between obesity and risk of psychological distress and depression in young adults in the US: available evidence, knowledge gaps, and future directions

While the physical health effects of obesity are well-characterized, an emerging branch of research has shown that obesity additionally plays a critical role in one's mental health. Young adults, in a pivotal transition phase in their lives, may be particularly prone to the concurrent effects of obesity and adverse mental health outcomes. The purpose of this review is to comprehensively examine existing data regarding the connection between obesity and two widely validated measures of mental health: psychological distress and depression. The connection between mental health outcomes and obesity is mediated by a complex interplay between biological and sociocultural factors, which is explored in this review with particular focus on younger adults aged 20-39. Further, the impact of several demographic factors including race/ethnicity, gender, and immigration status are examined closely. To our knowledge, this review is one of the first efforts to integrate existing knowledge between obesity and mental health, with particular regard for young adults and the impact of other key sociodemographic characteristics. This review has important implications at the interface of two of the most pressing public health crises in the United States.

Evaluating the Significance of Obesity or Excessive Weight in Various Mental Health Disorders: A Systematic Review

Obesity is a major global public health challenge affecting all countries and communities. The link between obesity and various types of physical morbidities has been widely acknowledged in different studies. Despite the immense impact of obesity on mental health, its full effect on the areas has not been as explored as the impact on physical health has been. Following an extensive review of various recent studies, the objective of this study is to evaluate the correlations and effects of obesity on mental health disorders, in addition to reflecting on the significance of assessing the correlation. The other objective of this study is to evaluate obesity prevalence in mentally ill individuals. We believe that the realization of these objectives will address the existing literature gaps within the population of mentally ill persons in addition to aiding with the necessary preventive knowledge that will enable the provision of optimum mental and physical health. Therefore, this study entailed the performance of a systematic review of several online databases, including Scopus, Web of Sciences, PubMed, Google Scholar, and MEDLINE. This systematic review also utilized an increasingly robust methodology based on the Cochrane guidelines and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Thus, the inclusion criteria stipulated that only studies published between 2010 and 2024 and published in the English language were to be included in this systematic review. The quality of the included studies was assessed using an appraisal tool for cross-sectional studies. As a result, 12 studies met the inclusion criteria for this systematic review and were reviewed. The findings indicate that the prevalence rate of obesity in individuals with mental health disorders surpasses the prevalence of the condition within the general population, suggesting that mentally ill persons are at a higher risk of developing obesity, even as one of the major side effects of psychiatric treatment is excessive weight gain. Individuals with personality disorders, including borderline personality disorder, avoidant personality disorder, dependent personality disorder, and antisocial personality disorder, among others, presented the highest prevalence rate of obesity compared to those with psychosis. Prospective studies should focus on evaluating the various mitigating factors that underlie the weight gain and obesity development that occur across mental health disorders.

Characteristics and Correlates of Metabolic Syndrome in Adolescents with Unipolar and Bipolar Depression: Results from a Cross-National Inpatient Case-Control Study

Abstract Objectives: To assess characteristics and correlates of metabolic syndrome (MetS) in adolescents with major depressive disorder (MDD) or bipolar disorder-depressive episode (BP-d). Methods: Case-control study, using national inpatient sample data, including adolescents (age, 12-18 years) with a primary diagnosis of MDD or BP-d. Using propensity score matching (based on age, sex, and race/ethnicity), we extracted cases with MetS (≥3 of the following conditions: obesity, diabetes, hypercholesterolemia, and hypertension) and controls without MetS. We used a multivariable logistic regression model calculating adjusted odds ratios (aORs) for potential correlates of MetS, focusing on primary mood disorders and psychiatric comorbidities. Results: In 607 age-/sex-/race/ethnicity-matched adolescents (MDD = 83.5%, BP-d = 16.5%), comparing those with (N = 332) versus without MetS (N = 275), MetS was most prevalent in later-age adolescents (mean age 16.3 years), females (58.1%), Whites (40.3%), and Blacks (31.5%). MetS was characterized by obesity (84.9% vs. 3.6%), hypertension (81% vs. 1.8%), diabetes (72.8% vs. 9.1%), and hypercholesterolemia (67.2% vs. 3.6%) (all p < 0.001). MetS was associated with a primary diagnosis of BP-d versus MDD (aOR 2.42, 95% confidence interval [CI] 1.47-3.97) and comorbid disruptive behavior disorders (DBD) (aOR 4.45, 95% CI 1.55-12.78), while comorbid substance use disorder reduced MetS risk (aOR 0.31, 95% CI 0.19-0.50). Conclusion: In adolescents with MDD or BP-d, MetS was associated with a primary BP-d diagnosis, and comorbid DBD. MetS-related parameters should be screened for early in adolescents with depression-spectrum disorders aiming to prevent the development or effects of MetS.

Weighing the Risk: Developmental Pathways and Processes Underlying Obesity to Substance Use in Adolescence

Research on co-occurring obesity and substance use in adolescence has grown substantially in the past decade, but questions on the pathways and processes underlying co-occurrence remain. This review first synthesizes empirical findings on the relationship between obesity and substance use (e.g., alcohol, cannabis, tobacco use). Multidisciplinary theoretical frameworks referencing behavioral medicine, neuroscience, psychology, and public health are then used to inform an interdisciplinary, conceptual model focused on pathways and processes by which obesity increases risk of substance use. Recommendations for future research underscore the importance of prospective studies that encompass multiple domains of development. Recommendations for practice include family-based interventions that promote adaptive self-regulation, targeted antibullying or victimization interventions, and increased attention by health professionals on risky behavior associated with adolescent obesity.

Predicting adolescent alcohol and other drug problems using electronic health records data

IMPORTANCE

Alcohol and other drug (AOD) use problems may cause significant burden on affected adolescents and their families, yet treatment providers often do not identify these problems early enough.

OBJECTIVE

To develop, and internally and externally validate a multivariable prediction model of adolescent AOD problems using child- and maternal-level predictors before age 12, and child-level predictors between ages 12 to 18, as recorded in the electronic health records (EHR).

DESIGN

A retrospective cohort study conducted time-to-event analyses using Cox proportional hazards models.

SETTING AND PARTICIPANTS

41,172 children born between 1997 and 2000 at four health plans (Kaiser Permanente Hawaii, KPHI; Kaiser Permanente Northern California, KPNC; Geisinger Clinic, GC; and Henry Ford Health System, HFHS) who had continuous membership since birth and linkable maternal records in the health plan.

OUTCOMES

AOD use problems between ages 12 to 18, defined as either: 1) having a contact with the AOD treatment program or 2) receiving a non-tobacco AOD diagnosis in an inpatient or outpatient encounter.

EXPOSURES

Candidate predictor variables include demographics, socioeconomic status, and clinical diagnoses of the children and the mothers.

RESULTS

Overall, 1400 (3.4%) adolescents had an AOD disorder between ages 12 to 18; the median follow-up time post-age 12 was 5.3 years. The research team developed two final prediction models: a "baseline" model of 10 child-level and 7 maternal-level predictors before age 12, and a more comprehensive "time-varying" model, which incorporated child risk factors after age 12 as time-varying covariates in addition to the baseline model predictors. Model performance evaluation showed good discrimination performance of the models, with the concordance index improved for the time-varying model, especially for prediction of AOD events in late adolescence.

CONCLUSIONS AND RELEVANCE

This study identified a number of child and maternal characteristics and diagnoses routinely available in EHR data as predictive of risk for developing AOD problems in adolescence. Further, we found that risk of developing problems varies significantly by the timing and persistence of the risk factors. Findings may have potential clinical implications for prevention and identification of adolescent AOD problems, but more research is needed, especially across additional health systems.

Converging vulnerability factors for compulsive food and drug use

Highly palatable foods and substance of abuse have intersecting neurobiological, metabolic and behavioral effects relevant for understanding vulnerability to conditions related to food (e.g., obesity, binge eating disorder) and drug (e.g., substance use disorder) misuse. Here, we review data from animal models, clinical populations and epidemiological evidence in behavioral, genetic, pathophysiologic and therapeutic domains. Results suggest that consumption of highly palatable food and drugs of abuse both impact and conversely are regulated by metabolic hormones and metabolic status. Palatable foods high in fat and/or sugar can elicit adaptation in brain reward and withdrawal circuitry akin to substances of abuse. Intake of or withdrawal from palatable food can impact behavioral sensitivity to drugs of abuse and vice versa. A robust literature suggests common substrates and roles for negative reinforcement, negative affect, negative urgency, and impulse control deficits, with both highly palatable foods and substances of abuse. Candidate genetic risk loci shared by obesity and alcohol use disorders have been identified in molecules classically associated with both metabolic and motivational functions. Finally, certain drugs may have overlapping therapeutic potential to treat obesity, diabetes, binge-related eating disorders and substance use disorders. Taken together, data are consistent with the hypotheses that compulsive food and substance use share overlapping, interacting substrates at neurobiological and metabolic levels and that motivated behavior associated with feeding or substance use might constitute vulnerability factors for one another. This article is part of the special issue on 'Vulnerabilities to Substance Abuse'.

A narrative review of highly processed food addiction across the lifespan

Evidence is growing that highly processed (HP) foods (i.e., foods high in refined carbohydrates and fat) are highly effective in activating reward systems and may even be capable of triggering addictive processes. Unlike traditional drugs of abuse, exposure to HP foods is common very early in development. HP food addiction has been associated with negative outcomes, including higher body mass index (BMI), more frequent binge eating, greater failure in weight loss treatment trials, and poorer mental and physical health. Although most research on HP food addiction has been conducted using adult samples, research on this topic now spans across the life span beginning in utero and extending through older adulthood. HP food addiction and related reward-based changes are associated with negative outcomes at every life stage, which has important implications for developmentally tailored prevention and treatment efforts. Using a developmentally informed approach, the current study comprehensively reviews the existing research on HP food addiction across the lifespan and highlights important areas of future research.

Body mass index across adolescence and substance use problems in early adulthood

Excessive substance use and obesity are underpinned by a number of shared risk factors (e.g., reward dysfunction, impulsivity). Food and drugs of abuse engage similar reward-related neural circuitry and the food-drug competition hypothesis proposes that excess consumption of food may diminish desire for drugs of abuse by competing for neural receptors associated with reward and motivation. Adolescence is a high-risk period for both increased substance use and excessive weight gain. In the present study, the authors tested whether, consistent with the food-drug competition hypothesis, elevated body mass index (BMI) across adolescence predicted fewer substance use problems in young adulthood. In a multiwave prospective study of a community sample of families enriched for high levels of substance use disorders, the authors first identified BMI trajectories across adolescence in 565 participants using latent class growth analysis. They then used maximum likelihood methods to compare the equality of mean alcohol-, drug-, and nicotine-related problems during early adulthood across adolescent BMI trajectories. Participants in the obese relative to the normal weight trajectory in adolescence had fewer drinking and illicit drug problems in early adulthood. Relative to the overweight trajectory, nicotine dependence was significantly higher among both the normal weight and obese trajectories. The current findings provide partial support for the food-drug competition hypothesis, which suggests that highly palatable foods may be rewarding enough to compete with drugs of abuse and that transdiagnostic approaches to reducing problematic substance use and overeating in adolescence may be useful. However, the relationship between nicotine and food requires further study. (PsycINFO Database Record

Overweight adolescents' brain response to sweetened beverages mirrors addiction pathways

Many adolescents struggle with overweight/obesity, which exponentially increases in the transition to adulthood. Overweight/obesity places youth at risk for serious health conditions, including type 2 diabetes. In adults, neural substrates implicated in addiction (e.g., orbitofrontal cortex (OFC), striatum, amygdala, and ventral tegmental area) have been found to be relevant to risk for overweight/obesity. In this study, we examined three hypotheses to disentangle the potential overlap between addiction and overweight/obesity processing by examining (1) brain response to high vs. low calorie beverages, (2) the strength of correspondence between biometrics, including body mass index (BMI) and insulin resistance, and brain response and (3) the relationship between a measure of food addiction and brain response using an established fMRI gustatory cue exposure task with a sample of overweight/obese youth (M age = 16.46; M BMI = 33.1). Greater BOLD response was observed across the OFC, inferior frontal gyrus (IFG), nucleus accumbens, right amygdala, and additional frontoparietal and temporal regions in neural processing of high vs. low calorie beverages. Further, BMI scores positively correlated with BOLD activation in the high calorie > low calorie contrast in the right postcentral gyrus and central operculum. Insulin resistance positively correlated with BOLD activation across the bilateral middle/superior temporal gyrus, left OFC, and superior parietal lobe. No relationships were observed between measures of food addiction and brain response. These findings support the activation of parallel addiction-related neural pathways in adolescents' high calorie processing, while also suggesting the importance of refining conceptual and neurocognitive models to fit this developmental period.

Neurobiology of substance use in adolescents and potential therapeutic effects of exercise for prevention and treatment of substance use disorders

Substance use (e.g., alcohol, marijuana, opioids, cocaine., etc,) use often initiates during adolescence, a critical period of physiological and social development marked by an increase in risk-taking due, in part, to heightened motivation to obtain arousal from rewards. Substance use during adolescence has been associated with a greater risk of substance use disorders (SUD) in adulthood. Although use rates for most substances have remained relatively stable, the frequency of marijuana use and the perception that regular marijuana use is not harmful has increased in adolescents. Furthermore, the nonmedical use of opioids has increased, particularly in the South, Midwest, and rural low-income communities. Substance use in adolescence has been associated with adverse structural and functional brain changes and, may exacerbate the natural "imbalance" between frontal/regulatory and cortical-subcortical circuits, leading to further heightened impulsive and reward-driven behaviors. Exercise increases growth and brain-derived neurotrophic factors that stimulate endogenous dopaminergic systems that, in turn, enhance general plasticity, learning, and memory. Exercise may help to reinforce the "naïve" or underdeveloped connections between neurological reward and regulatory processes in adolescence from the "bottom up" and "offset" reward seeking from substances, while concomitantly improving cardiovascular health, as well as academic and social achievement. In this review, we provide an overview of the current state of substance use in adolescents and rationale for the utilization of exercise, particularly "assisted" exercise, which we have shown increases neural activity in cortical-subcortical regions and may modulate brain dopamine levels during adolescence, a unique window of heightened reward sensitivity and neural plasticity, for the prevention and adjunctive treatment of SUD.

Weight Status and Cigarette and Electronic Cigarette Use in Adolescents

INTRODUCTION

Research shows that adolescents who are overweight or obese may be at greater risk of cigarette smoking, and that this relationship may vary by gender. However, this relationship is understudied for electronic cigarettes (e-cigarettes). Given the high rate of adolescent obesity and the rise in e-cigarette use in adolescents, this relationship should be investigated.

METHODS

Data are from the third wave (collected October 2015-January 2016) of the Texas Adolescent Tobacco and Marketing Surveillance system. Students were in the seventh, ninth, and 11th grades (n=2,733) from five counties surrounding four major Texas metropolitan areas (Houston, Austin, San Antonio, Dallas). Weighted logistic regression was used to determine if weight status (healthy weight, overweight, or obese) was correlated with ever and past 30-day cigarette or e-cigarette use, controlling for sociodemographics. Models were stratified by gender. Data analyses were conducted in March 2017.

RESULTS

Compared with healthy-weight boys, obese boys had higher odds of past 30-day e-cigarette use (AOR=3.45, 95% CI=1.34, 8.33) and cigarette smoking (AOR=4.52, 95% CI=1.32, 15.51). There was no significant relationship between weight status and cigarette or e-cigarette use in girls.

CONCLUSIONS

This study supports that there is a positive relationship between weight status and past 30-day cigarette and e-cigarette use for boys, but that there is no association for girls.

Understanding the Relationship of Cigarette Smoking Trajectories Through Adolescence and Weight Status in Young Adulthood in the United States

PURPOSE

Adolescent cigarette smoking has steadily declined since 1999, whereas adolescent obesity rates have quadrupled since the 1980s. Few studies address the longitudinal relationship of smoking and weight in youth and young adulthood. This study examines the relationship of smoking trajectories beginning in adolescence on weight status in young adulthood in a nationally representative longitudinal sample.

METHODS

The study sample was drawn from the National Longitudinal Study of Adolescent to Adult Health Waves I-IV (N = 13,361). Four trajectories were generated through repeated-measures latent class analyses using current cigarette smoking status in Waves I-IV and age of initiation: nonsmokers (44%), early establishers (23%), late establishers (21%), and former smokers (12%). Wave IV weight status included self-reported body mass index (BMI) and measured waist circumference. Bivariate analyses addressed associations between smoking trajectory and BMI at each wave. Multivariate linear regression models tested the relationship of smoking trajectory and weight status at Wave IV.

RESULTS

In bivariate analyses, early and late establishers had a significantly lower BMI at Wave III and all smoking trajectories had a significantly lower BMI at Wave IV versus nonsmokers. All smoking trajectories had a significantly lower BMI than nonsmokers (early establishers: β = -1.27, confidence interval [CI]: -1.56 to -.98]; late establishers: β = -.84, CI: -1.16 to -.52; and former smokers: β = -.63, CI: -.93 to -.34; p < .05) in an adjusted multivariable regression model.

CONCLUSIONS

This study reveals that weight status increased over time for all trajectories; thus smoking does not mitigate obesity risk. These results have implications for both research and interventions to help youth and young adults avoid both smoking and obesity.

Obesity and Cigarette Smoking: Extending the Link to E-cigarette/Vaping Use

OBJECTIVES

In recent years, electronic tobacco (e-cigarette/vaping) use among young adults has grown exponentially. Given past research linking obesity and cigarette smoking, assessing whether this relationship extends to electronic tobacco use is warranted. The current study examined weight status as a correlate of substance use patterns reflecting electronic tobacco use.

METHODS

Survey data were collected from a convenience sample of 452 (59% female) undergraduates attending a large, public university during the 2015-2016 academic year. Latent class analysis (LCA) was conducted to identify substance use classes and examine weight status as a covariate of class membership.

RESULTS

LCA analyses identified 4 classes: High Substance Use (19%), Risky Alcohol Use (14%), Cigarette/Electronic Tobacco Use (17%), and Low Substance Use (50%). Both obesity status and greater deviation from one's group body mass index (BMI) norm were associated with a higher likelihood of belonging to the Cigarette/Electronic Tobacco Use class.

CONCLUSIONS

Findings suggest that electronic tobacco use may fit well into previously established relationships between higher weight status and tobacco use. Future research should examine the longitudinal processes and pathways underlying the relationship between weight status and electronic tobacco use.