Increased Cardiometabolic Risk in Healthy Young Adults With Early Life Stress.

OBJECTIVE: This study aimed to evaluate the relationship between early life stress (ELS) and metabolic risk in healthy young adults and assess the role of health behaviors. METHODS: Young adults aged 18 to 40 years ( N = 190) with no medical conditions or medication usage were recruited from the community. Participants with ELS ( N = 113) had a history of childhood maltreatment, and most also experienced parental loss ( n = 88). Controls ( N = 77) had no history of maltreatment or parental loss. Standardized interviews and self-reports assessed demographics, adversity, medical/psychiatric history, and health behaviors. Blood pressure and anthropometrics were measured, and fasting plasma assayed for lipid profiles, glucose, insulin level, and hemoglobin A 1c . We calculated both a clinical cut-point and continuous composite metabolic risk score based on clinical risk factors and the mean of z scores of each measure, respectively. RESULTS: ELS was significantly associated with increased clinical cut-point ( ß = 0.68, 95% confidence interval [CI] = 0.20-1.17, p = .006) and continuous ( ß = 0.23, 95% CI = 0.08-0.038, p = .003) composite metabolic risk scores. On sensitivity analysis, the association of ELS with the continuous composite metabolic risk score was reduced to a trend after adjusting for a range of psychosocial and health predictors ( ß = 0.18, 95% CI = 0.00-0.36, p = .053), with both diet and college graduate status significant in the model. CONCLUSIONS: Healthy young adults with a history of ELS have increased metabolic risk scores as compared with controls. This relationship may be partially due to health behaviors and socioeconomic factors. These findings underline that ELS is an early contributor to metabolic risk.

An empirical taxonomy of reward response patterns in a transdiagnostic eating disorder sample.

Reward response patterns may contribute to risk and maintenance of eating disorders (EDs), and there may be clinically meaningful heterogeneity in behavioral responses to different actual and anticipated rewards across ED diagnoses. We used an empirical approach to classify individuals with EDs based on self-reported tendencies for responding to reward-related stimuli. Latent profile analysis was conducted in a transdiagnostic ED sample (N = 104) using Temperament and Character Inventory (Cloninger et al., 1993) subscales to categorize participants on reward responses of behavioral activation towards immediate, hedonic rewards (Novelty Seeking subscale), persistence towards long-term rewards (Persistence subscale), and maintenance by social rewards (Reward Dependence subscale) rewards. Two profiles were identified: (1) Behavioral Activation group (elevated Novelty Seeking; n = 62); and (b) Behavioral Persistence group (elevated Persistence; n = 42). Generalized linear models comparing profiles showed that frequency of these reward response profiles did not differ in probable AN, BN, or OSFED groups; however, individuals with probable BED more often demonstrated the Behavioral Activation profile (p = .041). These profiles exhibited comparable ED severity, but different presentations. Across probable ED diagnoses, the Behavioral Activation group reported greater binge eating (p = .006, d = 0.32) and had higher BMIs (p = .001, d = 0.57); the Behavioral Persistence group endorsed greater driven exercise (p = .042, d = 0.33). Categorization by activation to novel, immediate rewards versus persistence towards long-term rewards was associated with different symptoms across diagnoses, potentially supporting the role of specific reward response profiles in ED phenomenology.