Factors of suicidal behavior among inpatients with major depressive disorder: A retrospective case series

Mental Health Treatment Use, Perceived Treatment Need, and Reasons for Non-Use Among U.S. Adults with Serious Suicidal Thoughts During the COVID-19 Pandemic

Analyzing the 2021 National Survey on Drug Use and Health data with generalized linear models, we examined: (1) COVID pandemic-related and other correlates of mental health treatment use and unmet perceived treatment need among U.S. adults who experienced serious suicidal thoughts (N = 3,177); and (2) correlates of self-reported reasons for not receiving treatment. We found that 61% used any mental health treatment, and 48% of users and 37% of nonusers reported perceived treatment need. Significant correlates of treatment use were demographic factors, insurance, major depressive disorder, and illicit drug use disorder. Significant correlates of perceived treatment need were age 18-34, some college education, and major depressive episode. Perceived negative effect of the COVID pandemic on mental health was a significant factor for both treatment use and perceived need. The most frequent reasons for not getting treatment were the cost of treatment or lack of insurance and stigma-related concerns.

The influence of lifestyle habits on levels of depression among rural middle school students in Northeastern China

Background

Depression rates among adolescents have risen dramatically over the past decade. Therefore, preventing depression among adolescents is particularly important. Differences in lifestyle habits may play a role in depression.

Purpose

This study aimed to explore the influence of living habits on depression levels among rural middle school students in Northeast China and to provide a theoretical basis for developing interventions to reduce depression levels in middle school students.

Methods

A total of 296 middle school students aged 13-15 years from Benxi City, Northeast China completed the anthropometric measurements, Physical Activity Scale-3 (PARS-3), and the Self-Rating Depression Scale (SDS). Their average screen time in the most recent week, parents' education level, and monthly family income were collected through a questionnaire.

Results

Females had higher depression scores than males (41.0 ± 6.9 vs. 37.9 ± 8.0). Physical activity (β = -0.38, t = -7.06, P < 0.01), family income (β = -0.20, t = -4.07, P < 0.01), screen time (β = 0.16, t = 3.34, P < 0.01), age (β = 0.15, t = 3.16, P < 0.01), sex (β = -0.13, t = -2.74, P < 0.01), and sleep quality (β = -0.08, t = -1.87, P < 0.01) are important factors related to depression levels.

Conclusion

The preliminary analysis results showed that among middle school students in rural Northeast China, the depression level of females was significantly higher than that of males. Poor quality sleep, low levels of physical activity, low household income, and long screen time were positively associated with depression. Therefore, strengthening physical activity, improving sleep quality, and reducing screen time are of clinical relevance in preventing and reducing depression.

Clinical characteristics of suicidal behavior in first hospitalization and drug-naïve patients with major depressive disorder

BACKGROUND

Major depressive disorder (MDD) is a major and common cause of suicide. The purpose of this article is to report the clinical characteristics and patterns of co-morbid suicidal behavior (SB) in first hospitalized and drug-naïve MDD patients.

METHODS

A total of 345 patients with first hospitalization and drug-naïve MDD with SB were included in this study, while 183 patients without SB were included as a control group. We collected socio-demographic, general clinical data and common biochemical indicators of all participants and assessed their clinical symptoms.

RESULTS

Compared to patients without SB, MDD with SB had more severe clinical symptoms and worse metabolic indicators. Duration of disease, depressive symptom scores, and thyroid stimulating hormone (TSH) levels was risk factors for SB and its number.

CONCLUSIONS

MDD patients with SB suffered more severe clinical symptoms and worse metabolic indicators, and risk factors for SB in this population were identified, which may provide beneficial insight and reference for clinical prevention and intervention of SB in MDD patients.