The Role of Emotional Regulation in Anxiety and Depression Symptom Interplay and Expression among Adolescent Females

Latent profiles of emotion regulation among university students: links to repetitive negative thinking, internet addiction, and subjective wellbeing

Recent years have seen a deterioration in the mental health of university students and notable surge in the need for psychological support. Due to its links to psychopathology and high-risk behaviors, difficulty in emotion regulation frequently serves as a transdiagnostic dimension. This cross-sectional study used a person-centered analytical approach (latent profile analysis; LPA) to identify groups of Portuguese university students with similar profiles of emotion regulation difficulties (N = 261; Mage = 22.5 ± 1.2 years; n = 213 female) and describe how these groups differ in their presentation of repetitive negative thinking, internet addiction, and subjective wellbeing. The analyses identified four latent profiles: 14.5% of students showed global dysregulation (the Low Emotion Regulation Profile), 23% were moderately dysregulated with elevated problems in goal-directed behavior (the Moderate Emotion Regulation Profile), 8% showed specific difficulties with low emotional awareness and clarity (the Low Insight Profile), and 54.4% showed adaptive emotion regulation (the High Emotion Regulation Profile). As anticipated, the Low Emotion Regulation Profile had the lowest subjective wellbeing and the highest prevalence of repetitive negative thinking and internet addiction. Students with a Low Insight Profile also showed low subjective wellbeing, but less repetitive negative thinking compared to the Low Emotion Regulation Profile. Our findings suggest that interventions aimed at improving health and wellbeing among university students should consider each student's unique set of emotion regulation difficulties, rather than focusing on particular strategies. Further research may help determine whether emotion regulation profiles can serve as predictive indicators of varying mental health trajectories and subjective wellbeing in university students.

Mapping network connection and direction between anxiety and depression symptoms across the early, middle, and late adolescents: Insights from a large Chinese sample

Depression and anxiety are two mental disorders prevailing among adolescents. However, issues regarding the trajectory of depression and anxiety are still controversial on both the disease and symptom dimensions. The novel method of network analysis was used to provide insight into the symptom dimension. 20,544 adolescents (female = 10,743, 52.3%) aged between 14 and 24 years (age mean ± sd = 16.9 ± 2.94) were divided into three subgroups according to age so that the course of depression and anxiety could be traced. Network analysis and the Bayesian network model were used in the current study. The results indicated that uncontrollable worry - excessive worry was the most significant edge for all adolescents, whereas concentration - motor had the highest edge weights for early adolescents, and anhedonia - energy was the most critical pairwise symptom for middle and late adolescents. Irritability can bridge anxiety and depression in the early and middle stages of adolescence, while suicide plays a bridging role in the early and late stages of adolescence. Restlessness and guilt can bridge anxiety and depression in middle- and late-stage adolescents, and feeling afraid plays a unique role in middle-stage adolescents. Except for sad mood, which can trigger middle adolescents' anxiety and depression, the other three subgroups were mainly triggered by nervousness. In addition, all results in our current study were shown to be stable and accurate. In treatment, targeting central and triggering symptoms at different stages of adolescence may be critical to alleviating the comorbidity of anxiety and depression.

Combined Race and Gender Trend Disparities in Depressive Symptoms among U.S. High School Students: 1999-2019

In 2019, over 3.2 million adolescents in the U.S. reported depressive symptoms-a number that continues to increase annually. Not only can depression negatively impact an adolescent's academic performance, social development, and cognitive function, but it is also the most common condition associated with suicide. Previous studies have reported prevalence rates and statistical trends by either gender or race. We conducted an in-depth analysis of the current racial and gender trend disparities in adolescent depressive symptoms by examining linear and quadratic trends from the Youth Behavior Risk Survey (N = 158,601) over two decades (1999-2019), stratified by gender and race subgroups, both separately and combined. This novel quantitative method allows for a more nuanced approach when exploring social and cultural influences on adolescent depressive symptoms. We found a significant difference in the prevalence of depressive symptoms between males and females among Black, Hispanic, and multiracial adolescents in each separate year of pooled data. However, an increased prevalence trend over the 20-year period was only seen among the females of these three racial categories. White and Asian female adolescents also exhibited a statistical increase in prevalence of depressive symptoms over time. The only group of males with a significant trend increase over time were White adolescents. Understanding the intersection of gender and race in adolescent depressive symptoms trends enhances evidence for nurses and other healthcare professionals when developing and implementing targeted, effective prevention and intervention measures.