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

Prevalence and correlates of common mental disorders among participants of the Uganda Genome Resource: Opportunities for psychiatric genetics research

Genetics research has potential to alleviate the burden of mental disorders in low- and middle-income-countries through identification of new mechanistic pathways which can lead to efficacious drugs or new drug targets. However, there is currently limited genetics data from Africa. The Uganda Genome Resource provides opportunity for psychiatric genetics research among underrepresented people from Africa. We aimed at determining the prevalence and correlates of major depressive disorder (MDD), suicidality, post-traumatic stress disorder (PTSD), alcohol abuse, generalised anxiety disorder (GAD) and probable attention-deficit hyperactivity disorder (ADHD) among participants of the Uganda Genome Resource. Standardised tools assessed for each mental disorder. Prevalence of each disorder was calculated with 95% confidence intervals. Multivariate logistic regression models evaluated the association between each mental disorder and associated demographic and clinical factors. Among 985 participants, prevalence of the disorders were: current MDD 19.3%, life-time MDD 23.3%, suicidality 10.6%, PTSD 3.1%, alcohol abuse 5.7%, GAD 12.9% and probable ADHD 9.2%. This is the first study to determine the prevalence of probable ADHD among adult Ugandans from a general population. We found significant association between sex and alcohol abuse (adjusted odds ratio [AOR] = 0.26 [0.14,0.45], p < 0.001) and GAD (AOR = 1.78 [1.09,2.49], p = 0.019) respectively. We also found significant association between body mass index and suicidality (AOR = 0.85 [0.73,0.99], p = 0.041), alcohol abuse (AOR = 0.86 [0.78,0.94], p = 0.003) and GAD (AOR = 0.93 [0.87,0.98], p = 0.008) respectively. We also found a significant association between high blood pressure and life-time MDD (AOR = 2.87 [1.08,7.66], p = 0.035) and probable ADHD (AOR = 1.99 [1.00,3.97], p = 0.050) respectively. We also found a statistically significant association between tobacco smoking and alcohol abuse (AOR = 3.2 [1.56,6.67], p = 0.002). We also found ever been married to be a risk factor for probable ADHD (AOR = 2.12 [0.88,5.14], p = 0.049). The Uganda Genome Resource presents opportunity for psychiatric genetics research among underrepresented people from Africa.

Race, Ethnicity, and Geography as Determinants of Excessive Weight and Low Physical Activity in Pediatric Population: Protocol for Systematic Review and Meta-Analysis

The rationale for the current study is the sparsity of data on the combined effect of the environmental and individual risks of obesity and sedentary lifestyle in children of different races/ethnicities from different regions. An effective weight management strategy is hard to design due to insufficient evidence. This work was initiated to study race, ethnicity, and geography as determinants of excessive weight and low physical activity in the pediatric population. To achieve this aim, we systematically review publications on daily length of physical activity of light, moderate, and vigorous intensity, as well as sedentary time and BMI and its dynamics in children of different races/ethnicities and geographies. The extracted data are stratified into six major geographic regions and six races/ethnicities. Then, a random-effects meta-analysis is used to calculate the pooled mean of each outcome measure. A ridge regression is constructed to explore age-related change in BMI. A Kruskal-Wallis H test is applied to compare the pooled duration of physical activity and sedentary time in the subgroups. Finally, we calculate paired correlation coefficients between BMI and physical activity/inactivity for each group. The findings can be further used in public health surveillance to clarify the epidemiology of obesity, to guide priority setting and planning, and to develop and evaluate public health policy and strategy.

Transdiagnosis of alcohol use and psychopathologies: A systematic review

Multiple diagnoses are the rule in Mental Health and alcohol use disorder (AUD) is a psychopathology with many comorbidities, requiring interventions that consider common factors, which means using a transdiagnostic perspective. This study aimed to identify in the scientific literature the main common transdiagnostic factors that link AUD to other psychopathologies in people over 18 years of age. A systematic review of the literature was carried out in the portals of the databases Pubmed, PsychINFO and CAPES. 37 articles were selected for analysis, which resulted in 25 transdiagnostic factors linked to AUD and to several other related disorders and health conditions. The results emphasize the variety of disorders and health conditions related to AUD, which highlights the importance of transdiagnostic factors for these conditions as targets for both scientific research and therapeutic interventions for this population.

Examining the relationship of concurrent obesity and tobacco use disorder on the development of substance use disorders and psychiatric conditions: Findings from the NESARC-III

Background

Multimorbidity is linked to worse health outcomes than single health conditions. However, recent studies show that obesity may reduce the risk of developing substance use disorders (SUDs), particularly in vulnerable populations. We investigated how comorbid obesity and tobacco use disorder (TUD) relate to the risk of SUDs and psychiatric conditions.

Methods

Data was used from 36,309 individuals who completed the National Epidemiological Survey on Alcohol and Related Conditions - Wave III. Individuals who met the DSM-5 criteria for TUD in the last year were defined as the TUD group. Obesity was defined as having a body mass index (BMI) greater than 30 kg/m2. Using this information, individuals were grouped into categories, with people being identified as either having obesity, TUD, both obesity and TUD, or not having either obesity or TUD (comparison). Groups were compared against their comorbid diagnoses of either an additional SUD or psychiatric conditions.

Results

Controlling for demographic characteristics, we found that individuals with obesity including those individuals with TUD, had lower rates of comorbid SUD diagnosis than individuals with TUD alone. Additionally, individuals with combined TUD and obesity, and those with TUD alone, had the highest rates of comorbid psychiatric disorder diagnosis.

Conclusions

The current study aligns with previous research suggesting that obesity may reduce risk of substance use disorders, even in individuals who have other risk factors promoting harmful substance use (e.g., tobacco use). These findings may inform targeted intervention strategies for this clinically relevant subpopulation.

Exploring the relationships between adolescent alcohol misuse and later life health outcomes

BACKGROUND

We sought to clarify the impact of adolescent alcohol misuse on adult physical health and subjective well-being. To do so, we investigated both the direct associations between adolescent alcohol misuse and early midlife physical health and life satisfaction and the indirect effects on these outcomes attributable to subsequent alcohol problems.

METHOD

The sample included 2733 twin pairs (32% monozygotic; 52% female) from the FinnTwin16 study. Adolescent alcohol misuse was a composite of frequency of drunkenness, frequency of alcohol use, and alcohol problems at ages 16, 17, and 18.5. The early midlife outcomes included somatic symptoms, self-rated health, and life satisfaction at age 34. The mediators examined as part of the indirect effect analyses included alcohol problems from the Rutgers Alcohol Problem Index at ages 24 and 34. Serial mediation and co-twin comparison models were applied and included covariates from adolescence and early midlife.

RESULTS

There were weak direct associations between adolescent alcohol misuse and early midlife physical health and life satisfaction. However, there was stronger evidence for indirect effects, whereby young adult and early midlife alcohol problems serially mediated the relationship between adolescent alcohol misuse and early midlife somatic symptoms (β = 0.03, 95% CI [0.03, 0.04]), self-rated health (β = -0.02, 95% CI [-0.03, -0.01]), and life satisfaction (β = -0.03, CI [-0.04, -0.02]). These serial mediation effects were robust in co-twin comparison analyses.

CONCLUSIONS

These results provide evidence that alcohol problems are a primary driver linking adolescent alcohol misuse and poor health outcomes across the lifespan.

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.

Adolescent Obesity Modeling: A Framework of Socio-Economic Analysis on Public Health

Bayesian Structural Equation Modeling (SEM-Bayesian) was applied across different research areas to model the correlation between manifest and latent variables. The primary purpose of this study is to introduce a new framework of complexity to adolescent obesity modeling based on adolescent lifestyle through the application of SEM-Bayesian. The introduced model was designed based on the relationships among several factors: household socioeconomic status, healthy food intake, unhealthy food intake, lifestyle, body mass index (BMI) and body fat. One of the main contributions of this study is from considering both BMI and body fat as dependent variables. To demonstrate the reliability of the model, especially in terms of its fitting and accuracy, real-time data were extracted and analyzed across 881 adolescents from secondary schools in Tehran, Iran. The output of this study may be helpful for researchers who are interested in adolescent obesity modeling based on the lifestyle and household socioeconomic status of adolescents.

E-cigarette and marijuana use and the attainment of obesity prevention guidelines among U.S. adolescents

•

Majority of U.S. youth still not meeting 5-2-1-0 obesity prevention guidelines.

•

Current marijuana users did not meet screen time and physical activity guidelines.

•

E-cigarette users met physical activity and screen time guidelines.

•

Dual users are more likely to meet fruits and vegetables guidelines.

The study objectives were to examine the associations of exclusive and dual use of e-cigarettes and marijuana and the attainment of the “Let’s Go! 5–2-1–0” obesity prevention guidelines and perceptions of weight status among U.S. adolescents. Data from the 2017 Youth Risk Behavior Survey, a school-based nationally representative cross-sectional study, were analyzed (N = 12,578). Participants were categorized based on their past 30-day e-cigarette and marijuana use as: non-users, exclusive e-cigarette users, exclusive marijuana users, and dual users. Adjusted logistic regression models were conducted. Of adolescents, 5.2% were exclusive e-cigarette users, 10.3% were exclusive marijuana users, and 7.4% were dual users. Compared to non-users, exclusive e-cigarette users were more likely (aOR = 1.55, 95%CI = 1.16–2.07) to meet the physical activity recommendation. Compared to dual-users, exclusive e-cigarette users were more likely (aOR = 1.47, 95%CI = 1.10–1.97) to meet the screen time recommendation. Compared to non-users, exclusive marijuana users were at increased odds to meet the fruit/vegetable recommendation (aOR = 1.33, 95%CI = 1.03–1.71), but were at decreased odds to meet the sugar-sweetened beverages recommendation (aOR = 0.81, 95%CI = 0.65–0.99). Compared to exclusive e-cigarette users, exclusive marijuana users were less likely to meet the screen time (aOR = 0.71, 95%CI = 0.54–0.93) and physical activity recommendations (aOR = 0.60, 95%CI = 0.43–0.84). Compared with dual users, exclusive marijuana users were more likely (aOR = 1.38, 95%CI = 1.01–1.88) to perceive themselves as slightly/very overweight. Compared to non-users, dual users were less likely to meet the sugar-sweetened beverages recommendation (aOR = 0.63, 95%CI = 0.46–0.87). Adolescent current marijuana users and dual users were less likely to meet obesity prevention guidelines. Prevention efforts are needed to reduce e-cigarette and marijuana use and increase adherence to these guidelines.

Identifying risk factors involved in the common versus specific liabilities to substance use: A genetically informed approach

Individuals most often use several rather than one substance among alcohol, cigarettes or cannabis. This widespread co-occurring use of multiple substances is thought to stem from a common liability that is partly genetic in origin. Genetic risk may indirectly contribute to a common liability to substance use through genetically influenced mental health vulnerabilities and individual traits. To test this possibility, we used polygenic scores indexing mental health and individual traits and examined their association with the common versus specific liabilities to substance use. We used data from the Avon Longitudinal Study of Parents and Children (N = 4218) and applied trait-state-occasion models to delineate the common and substance-specific factors based on four classes of substances (alcohol, cigarettes, cannabis and other illicit substances) assessed over time (ages 17, 20 and 22). We generated 18 polygenic scores indexing genetically influenced mental health vulnerabilities and individual traits. In multivariable regression, we then tested the independent contribution of selected polygenic scores to the common and substance-specific factors. Our results implicated several genetically influenced traits and vulnerabilities in the common liability to substance use, most notably risk taking (bstandardised = 0.14; 95% confidence interval [CI] [0.10, 0.17]), followed by extraversion (bstandardised = -0.10; 95% CI [-0.13, -0.06]), and schizophrenia risk (bstandardised = 0.06; 95% CI [0.02, 0.09]). Educational attainment (EA) and body mass index (BMI) had opposite effects on substance-specific liabilities such as cigarette use (bstandardised-EA = -0.15; 95% CI [-0.19, -0.12]; bstandardised-BMI = 0.05; 95% CI [0.02, 0.09]) and alcohol use (bstandardised-EA = 0.07; 95% CI [0.03, 0.11]; bstandardised-BMI = -0.06; 95% CI [-0.10, -0.02]). These findings point towards largely distinct sets of genetic influences on the common versus specific liabilities.

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.

Parental substance use and child reward-driven eating behaviors

Family history of substance use is a well-established risk factor for greater substance use in adolescence and adulthood. The biological vulnerability hypothesis proposes that family history of substance use might also confer risk for obesogenic eating behavior because of similar rewarding characteristics between substances and certain foods (e.g., processed foods high in refined carbohydrates and fat). Indeed, preliminary research shows that family history of substance use is linked with sweet liking and obesity in adults; however, it is unknown whether this factor is linked to eating behavior earlier in development. The present study (n = 52) tested the association of severity of parental nicotine dependence and alcohol use (drinking frequency, drinking quantity, binge drinking, and number of annual drinks consumed) with two types of child [Mage = 10.18 (0.83) years] eating behavior: homeostatic eatingbehavior, or eating regulated by internal satiety cues, and reward-driven eatingbehavior, or eating motivated by pleasure. Results indicated that-over and above the influence of child age, child biological sex, and family income-more severe parental nicotine dependence and frequent and/or heavy, frequent parental alcohol use were associated with significantly greater child reward-driven eating behaviors as indexed by the Food Responsiveness and Enjoyment of Food subscales on the Child Eating Behavior Questionnaire. Parental substance use was not associated with child homeostatic eating behavior as indexed by the Satiety Responsiveness subscale. Family history of substance use may be an important transdiagnostic risk factor that identifies children at risk for obesogenic, reward-driven eating behaviors.