Prior research suggests an association between anhedonia—diminished interest or pleasure in rewarding activities—and stimulant use in selected samples. However, it is unclear whether this association generalizes to the overall population and is consistent across stimulant drug types (amphetamine vs. cocaine) and outcome characteristics (any lifetime use vs. dependence). Questions also remain as to whether the anhedonia–stimulant relationship is unique from covariance with depressed mood, psychiatric disorders, and nonstimulant substance use. The current study addressed these questions by examining anhedonia–stimulant relationships in a cross-sectional population-based sample of 43,093 American adults. Results indicated that lifetime anhedonia and depressed mood each were positively associated with lifetime stimulant use and lifetime dependence among those who reported stimulant use. Anhedonia–stimulant relationships were consistent across amphetamine- and cocaine-related outcomes and distinct from covariance with depressed mood, which exhibited no association over and above the effect of anhedonia. After adjusting for demographic, psychiatric, and nonstimulant substance use characteristics, anhedonia–stimulant associations remained significant, although effect sizes were partially attenuated. Lifetime anhedonia was also more prevalent among respondents who initiated use but did not eventually progress to dependence in comparison with individuals who never once used a stimulant drug. Anhedonia appears to be uniquely associated with lifetime use of cocaine and amphetamines and lifetime progression from use to dependence in the American population. Albeit cross-sectional in nature, these findings add further support to the generalizability and specificity of the anhedonia–stimulant relationship. Future research utilizing longitudinal and experimental designs are warranted to clarify the underpinnings of this association.

Background Congenital anomalies are the fifth leading cause of mortality in children younger than 5 years globally. Many gastrointestinal congenital anomalies are fatal without timely access to neonatal surgical care, but few studies have been done on these conditions in low-income and middle-income countries (LMICs). We compared outcomes of the seven most common gastrointestinal congenital anomalies in low-income, middle-income, and high-income countries globally, and identified factors associated with mortality. MethodsWe did a multicentre, international prospective cohort study of patients younger than 16 years, presenting to hospital for the first time with oesophageal atresia, congenital diaphragmatic hernia, intestinal atresia, gastroschisis, exomphalos, anorectal malformation, and Hirschsprung's disease. Recruitment was of consecutive patients for a minimum of 1 month between October, 2018, and April, 2019. We collected data on patient demographics, clinical status, interventions, and outcomes using the REDCap platform. Patients were followed up for 30 days after primary intervention, or 30 days after admission if they did not receive an intervention. The primary outcome was all-cause, in-hospital mortality for all conditions combined and each condition individually, stratified by country income status. We did a complete case analysis. FindingsWe included 3849 patients with 3975 study conditions (560 with oesophageal atresia, 448 with congenital diaphragmatic hernia, 681 with intestinal atresia, 453 with gastroschisis, 325 with exomphalos, 991 with anorectal malformation, and 517 with Hirschsprung's disease) from 264 hospitals (89 in high-income countries, 166 in middleincome countries, and nine in low-income countries) in 74 countries. Of the 3849 patients, 2231 (58•0%) were male. Median gestational age at birth was 38 weeks (IQR 36-39) and median bodyweight at presentation was 2•8 kg (2•3-3•3). Mortality among all patients was 37 (39•8%) of 93 in low-income countries, 583 (20•4%) of 2860 in middle-income countries, and 50 (5•6%) of 896 in high-income countries (p<0•0001 between all country income groups). Gastroschisis had the greatest difference in mortality between country income strata (nine [90•0%] of ten in lowincome countries, 97 [31•9%] of 304 in middle-income countries, and two [1•4%] of 139 in high-income countries; p≤0•0001 between all country income groups). Factors significantly associated with higher mortality for all patients combined included country income status (low-income vs high-income countries, risk ratio 2•78 [95% CI 1•88-4•11], p<0•0001; middle-income vs high-income countries, 2•11 [1•59-2•79], p<0•0001), sepsis at presentation (1•20 [1•04-1•40], p=0•016), higher American Society of Anesthesiologists (ASA) score at primary intervention (ASA 4-5 vs ASA 1-2, 1•82 [1•40-2•35], p<0•0001; ASA 3 vs ASA 1-2, 1•58, [1•30-1•92], p<0•0001]), surgical safety checklist not used (1•39 [1•02-1•90], p=0•035), and ventilation or parenteral nutrition unavailable when needed (ventilation 1•96, [1•4...

Understanding the relationship between Posttraumatic stress disorder (PTSD) and cigarette smoking has been difficult due to PTSD’s symptomatic heterogeneity. This study examined common and unique lifetime cross-sectional relationships between PTSD symptom clusters (Re-experiencing [intrusive thoughts and nightmares about the trauma], Avoidance [avoidance of trauma-associated memories or stimuli], Emotional Numbing [loss of interest, interpersonal detachment, restricted positive affect], and Hyperarousal [irritability, difficulty concentrating, hypervigilance, insomnia]) and three indicators of smoking behavior: (1) smoking status; (2) cigarettes per day; and (3) nicotine dependence. Participants were adult respondents in the National Epidemiologic Survey of Alcohol and Related Conditions with a trauma history (N=23,635). All four symptom clusters associated with each smoking outcome in single-predictor models (ps<.0001). In multivariate models including all of the symptom clusters as simultaneous predictors, Emotional Numbing was the only cluster to retain a significant association with lifetime smoking over and above the other clusters, demographics, and Axis-I comorbidity (OR=1.30, p<.01). While Avoidance uniquely associated with smoking status and nicotine dependence in multivariate models, these relations fellow below significance after adjusting for demographics and comorbidity. No clusters uniquely associated with cigarettes per day. Hyperarousal uniquely related with nicotine dependence over and above the other clusters, demographics, and Axis-I comorbidity (OR=1.51, p<.001). These results suggest that: (a) common variance across PTSD symptom clusters contribute to PTSD’s linkage with smoking in the American population; and (b) certain PTSD symptom clusters may uniquely associate with particular indicators of smoking behavior. These findings may clarify the underpinnings of PTSD-smoking comorbidity and inform smoking interventions for trauma-exposed individuals.

introduction: Anxiety sensitivity (i.e., AS; the degree to which one believes that anxiety and its related sensations are harmful) is a stable trait that is associated with habitual smoking. Yet, the mechanisms linking AS and smoking are unclear. A promising hypothesis is that high-AS individuals are more sensitive to the acute subjective reinforcing effects of smoking and are, therefore, more prone to tobacco dependence. This study examined trait AS as a predictor of several subjective effects of cigarette smoking.

Depressive symptoms are heterogeneous and can be parsed into four subdimensions (i.e., positive affect [PA], negative affect [NA], somatic features [SF], and interpersonal problems [IP]) that may have unique associations with the motivation to smoke. This study explored associations between depressive symptom dimensions and 13 theoretically distinct domains of smoking dependence motivation in current cigarette smokers (N = 212; 53% female, mean [M] age = 24 years). Results demonstrated substantial variability in the pattern of motivational correlates across depressive dimensions. Low PA exhibited the narrowest motivational profile, associating with only the tendency to prioritize smoking over other reinforcers. NA demonstrated a broader profile, associating with smoking for affect regulation and cognitive enhancement as well as prioritizing smoking. SF associated with prioritizing smoking and smoking because of cue exposure, craving, and weight control. IP demonstrated the broadest profile, associating with 7 of 13 motivational domains. These findings may assist the tailoring cessation interventions for smokers with depressive symptoms.