Suchergebnisse

The aim of the present study was to examine macro-determinants of the Not Engaged in Employment, Education or Training (NEET) rate with the country as the unit of analysis. Data from 40 countries were extracted from the Organisation for Economic Co-operation and Development (OECD) database. Linear mixed models were used to examine associations between the NEET rate and gross domestic product (GDP), population density, life expectancy, social spending, homicide rate, part-time employment, poverty, social inequality (GINI index), and education spending. As part of a sensitivity analysis, the analysis was repeated using open data from the World Bank Group. GDP and social spending were uniquely associated with the NEET rate after controlling for the effects of other factors. Social inequality, poverty, and education spending showed borderline significant associations with the NEET rate. The findings of the present ecological study showed associations between environmentally unfavourable conditions or harshness and the NEET rate at the country level and may inform appropriate policy measures to contain and promote a decrease in the NEET rate.

Abstract: Background: Previous ecological studies reported that increasing antidepressant prescriptions were associated with decreasing suicide rates. Aim: To determine whether antidepressant prescription prevalence is negatively associated with suicide rates (i.e., as antidepressant prescribing increases, suicide rates decrease) between 1999 and 2020. Method: The study protocol was pre-registered on the Open Science Framework ( https://osf.io/978sk/ ). Publicly available data from the Centers for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiological Research (CDC WONDER) and Medical Expenditure Panel Survey (MEPS) were used. Results: Overall, both the antidepressant prescription prevalence and the suicide rate were increasing from 1990 to 2020 in the United States. Positive trends for both outcomes were also evident when analyses were stratified according to sex and/or race/ethnicity. Pearson's correlation analyses consistently found positive associations between antidepressant prescription prevalence and suicide rates. Limitations: Trends and their associations were examined at the population level. The results cannot clarify the causal nature of the association observed. Conclusion: The results of our analysis consistently demonstrated positive trends for both antidepressant prescription prevalence and suicide rates over time as well as positive associations between them. These findings update those from previous studies and are at odds with the notion that, at a population level, more antidepressant prescriptions would lead to lower suicide rates. However, it needs to be acknowledged that ecological studies provide insufficient evidence to infer causality.

Objectives: Young adults have been overly affected by the containment measures against COVID-19 and, consequently, worsening in mental health and change in health behavior have been reported. Because the life phase of emerging adulthood is crucial for developing health behaviors, this study aims to examine increase in alcohol consumption, single and multiple binge drinking, and associated factors in students during lockdown and post-lockdown periods. Methods: A prospective open cohort study design with nine survey time points between April 2020 and June 2021 was conducted. The present study uses pooled data from the first survey T0 (3 April to 14 April) and follow-ups at T1 (30 April to 11 May 2020) and T2 (28 May to 8 June 2020). Students from all faculties of the Zurich University of Applied Sciences (ZHAW) (N = 12'431) were invited. Of the 1,300 students who participated at baseline and in at least one follow-up, 1,278 (98.3%) completed the questionnaires, final net sample size was 947. Generalized Estimating Equations (GEE) models were used to investigate the factors associated with increases in alcohol consumption based on number of occasions/last 30 days; drinks/week, and binge drinking at T0, and respective changes at T1 and T2 (increases, decreases, no change). Results: Overall, 20% of Swiss university students reported an increased alcohol consumption and 26% engaged in binge drinking. Number of drinks at baseline was associated with a higher probability of increased alcohol consumption, as well as engaging in single and multiple binge drinking events. Higher anxiety scores were associated with a higher probability to increase the alcohol consumption and engaging at least once in binge drinking. Additional factors associated with any binge drinking were male gender, younger age and not living with parents. Higher perceived social support was only associated with engaging in heavy binge drinking. Conclusions: A substantial number of students developed a more risky health behavior regarding alcohol consumption. It is important to identify at risk students and design target prevention including factors such as age, gender and social norms. Further, health behavior and determinants of health behaviors of students should be carefully monitored during the further course of the pandemic.

Objective: The COVID-19 pandemic and government measures implemented to counter the spread of the infection may be a major stressor affecting the psychological health of university students. This study aimed to explore how anxiety symptoms changed during the pandemic. Methods: 676 students (76% females) at Zurich University of Applied Sciences participated in the first (T0) and second (T1) survey waves. Anxiety symptoms were assessed using the Generalized Anxiety Disorder-Scale-7 (GAD-7). Risk and protective factors (e.g., COVID-19-related variables) were examined. Results: GAD-7 scores decreased significantly from T0 to T1 (mean change: -0.446,SE = 0.132, 95% CI: -0.706,-0.186, t =-3.371, df = 659, p = 0.001). Participants with moderate-to-severe anxiety score were 20.2 and 15.6% at T0 and T1, respectively. The following positively predicted anxiety: older age, female gender, non-Swiss nationality, loneliness, participants' concern about their own health, and interaction between time and participants' concern about their own health. Resilience and social support negatively predicted anxiety. Conclusions: Our findings provide information for public health measures and psychological interventions supporting the mental health of university students during the COVID-19 emergency.

Objective: The COVID-19 pandemic and government measures implemented to counter the spread of the infection may be a major stressor affecting the psychological health of university students. This study aimed to explore how anxiety symptoms changed during the pandemic. Methods: 676 students (76% females) at Zurich University of Applied Sciences participated in the first (T0) and second (T1) survey waves. Anxiety symptoms were assessed using the Generalized Anxiety Disorder-Scale-7 (GAD-7). Risk and protective factors (e.g., COVID-19-related variables) were examined. Results: GAD-7 scores decreased significantly from T0 to T1 (mean change:-0.446, SE = 0.132, 95% CI: -0.706, -0.186, t = -3.371, df = 659, p = 0.001). Participants with moderate-to-severe anxiety score were 20.2 and 15.6% at T0 and T1, respectively. The following positively predicted anxiety: older age, female gender, non-Swiss nationality, loneliness, participants' concern about their own health, and interaction between time and participants' concern about their own health. Resilience and social support negatively predicted anxiety. Conclusions: Our findings provide information for public health measures and psychological interventions supporting the mental health of university students during the COVID-19 emergency.

OBJECTIVE: The COVID-19 pandemic and government measures implemented to counter the spread of the infection may be a major stressor affecting the psychological health of university students. This study aimed to explore how anxiety symptoms changed during the pandemic. METHODS: 676 students (76% females) at Zurich University of Applied Sciences participated in the first (T0) and second (T1) survey waves. Anxiety symptoms were assessed using the Generalized Anxiety Disorder-Scale-7 (GAD-7). Risk and protective factors (e.g., COVID-19-related variables) were examined. RESULTS: GAD-7 scores decreased significantly from T0 to T1 (mean change: −0.446, SE = 0.132, 95% CI: −0.706, −0.186, t = −3.371, df = 659, p = 0.001). Participants with moderate-to-severe anxiety score were 20.2 and 15.6% at T0 and T1, respectively. The following positively predicted anxiety: older age, female gender, non-Swiss nationality, loneliness, participants' concern about their own health, and interaction between time and participants' concern about their own health. Resilience and social support negatively predicted anxiety. CONCLUSIONS: Our findings provide information for public health measures and psychological interventions supporting the mental health of university students during the COVID-19 emergency.