Unhealthy Mental Health Research Articles

MENEBAR BENIH PENCEGAHAN GANGGUAN MENTAL: PEMBINAAN GENERASI MUDA HINDU DALAM PENGUATAN KESEHATAN MENTAL DI PURA BHUANA PUJA

The young generation of Hindus is faced with various challenges and complexities in life that can have an impact on mental health. Problems often faced by Hindu teenagers include academic demands, social pressure, cyberbullying, and identity crises. There are still many gaps in access to mental health services, especially in the pasraman environment. Starting from this problem, activities were held to develop the Hindu Young Generation in Strengthening Mental Health at Pura Bhuana Puja to increase awareness of Hindu teenagers about the importance of mental health and provide a basic understanding of mental health so that teenagers can be aware of their mental condition and what to do when they are indicated to be experiencing problems. mentally. This socialization uses lecture, discussion and game methods. The material presented includes understanding mental health, characteristics of healthy and unhealthy mental health, factors that cause psychological disorders, how to cultivate love within yourself, and how to overcome mental disorders. The results of this socialization are that participants gain an understanding of mental health and how to maintain it, are able to differentiate between healthy and unhealthy mental health, know the factors that can cause psychological disorders, get tips for cultivating self-love, and get tips for overcoming mental disorders.

Health-Related Quality of Life Among Members Using an On Demand Behavioral Health Platform: Pilot Observational Study.

BackgroundDespite the well-known adverse health conditions and negative economic outcomes associated with mental health problems, accessing treatment is difficult due to reasons such as availability and cost. As a solution, digital mental health services have flooded the industry, and new studies are quickly emerging that support their potential as an accessible and cost-effective way to improve mental health outcomes. However, many mental health platforms typically use clinical tools such as the Patient Health Questionnaire-9 (PHQ-9) or General Anxiety Disorder-7 (GAD-7). Yet, many individuals that seek out care do not have clinical symptomatology and thus, traditional clinical measures may not adequately capture symptom improvement in general well-being. As an alternative, this study used the health-related quality of life (HRQoL) tool from the Centers for Disease Control and Prevention “Healthy Days” measure. This subjective measure of well-being is an effective way to capture HRQoL and might be better suited as an outcome measure for treatments that include both clinical and subclinical individuals.ObjectiveThe purpose of this study was to describe changes in HRQoL in clinical and subclinical members assessing virtual care and to examine the association between text-based behavioral coaching and virtual clinical sessions with changes in HRQoL.MethodsA total of 288 members completed the 4-item HRQoL measure at baseline and at 1 month following use of the Ginger on demand behavioral health platform. Baseline anxiety and depression levels were collected using the GAD-7 and PHQ-9, respectively.ResultsMembers completed on average 1.92 (SD 2.16) coaching sessions and 0.91 (SD 1.37) clinical sessions during the assessment month. Paired samples t tests revealed significant reductions in the average number of unhealthy mental health days between baseline (mean 16, SD 8.77 days) and follow-up (mean 13.2, SD 9.02 days; t287=5.73; P<.001), and in the average number of days adversely impacted (meanbaseline 10.9, meanfollow-up 8.19; t287=6.26; P<.001). Both subclinical members (t103=3.04; P=.003) and clinical members (t183=5.5; P<.001) demonstrated significant improvements through reductions in adversely impacted days over a month. Clinical members also demonstrated significant improvements through reductions in unhealthy mental health days (t183=5.82; P<.001). Finally, member engagement with virtual clinical sessions significantly predicted changes in unhealthy mental health days (B=–0.96; P=.04).ConclusionsTo our knowledge, this study is one of the first to use the HRQoL measure as an outcome in an evaluation of a digital behavioral health platform. Using real-world longitudinal data, our preliminary yet promising results show that short-term engagement with virtual care can be an effective means to improve HRQoL for members with subclinical and clinical symptoms. Further follow-up of reported HRQoL over several months is needed.

At-risk Internet addiction and related factors among junior high school teachers\u2014based on a nationwide cross-sectional study in Japan

BackgroundSchool teachers have a possibility toward at-risk Internet addiction (IA) due to increased opportunities to use the Internet, along with the spread of the Internet in recent years. Burnout syndrome (BOS) is found to be one of the symptoms related to unhealthy mental health, especially among teachers. This study aims to research the relationship between at-risk IA and the Internet usage or BOS by conducting a nationwide cross-sectional survey and examining the factors associated with IA.MethodThis study was a cross-sectional survey by anonymous questionnaire. This survey was a random sampling survey of junior high schools across Japan in 2016. The participants were 1696 teachers at 73 schools (response rate in teachers 51.0%). We asked participants for details of their backgrounds, Internet usage, the Internet Addiction Test (IAT) by Young, and the Japanese Burnout Scale (JBS). We divided the participants into either the at-risk IA group (IAT score ≧ 40, n = 96) or the non-IA group (IAT score < 40, n = 1600). To compare the difference between at-risk IA and non-IA, we used nonparametric tests and t test according to variables. To analyze the relationship between the IAT score and the scores of three factors of the JBS (emotional exhaustion, depersonalization, and personal accomplishment), we used both ANOVA and ANCOVA, adjusted by relevant confounding factors. To clarify the contribution of each independent variable to IAT scores, we used multiple logistic regression analysis.ResultsIn our study, at-risk IA was associated with using the internet many hours privately, being on the Internet both on weekdays and weekends, playing games, and surfing the Internet. In the relationship between IAT score and BOS factor score, a higher score for “depersonalization” had a positive relationship with at-risk IA, and the highest quartile for “decline of personal accomplishment” had a lower odds ratio with at-risk IA by multiple logistic regression analysis.ConclusionWe clarified there is a significant relationship between at-risk IA and BOS among junior high school teachers in a nationwide survey. Our results suggest that finding depersonalization at the early stage may lead to the prevention of at-risk IA among teachers. Those who are at-risk of IA may feel personal accomplishment through use of the Internet.

Effects of perceived job stress on mental health. A longitudinal survey in a Japanese electronics company.

We conducted a cohort study for 2 years to examine the causal relationship between perceived job stress and mental health. Questionnaire surveys, including a 30-item General Health Questionnaire (GHQ) and a questionnaire on perceived job stress were carried out every 6 months for 2 years. To clarify the causal relationship between job stress and mental health, we followed a group of workers who initially had a GHQ score < or = 7. Out of 462 workers who were thought to be in a healthy mental state, 282 were successfully followed for 2 years. We considered subjects who developed unhealthy mental health states (GHQ score > or = 8) as hazardous cases. To control potential confounding factors, proportional hazard analysis was done. The overall proportion hazardous cases detected in the development of an unhealthy mental health state over two years was 55.7%. Using Cox's proportional hazard model, workers who complained of perceived job stress had a greater hazard than those without job stress. In particular, the item 'poor relationship with superior' showed the largest adjusted hazard ratio [95% confidence interval (CI)] of 1.51 (1.06-2.15). The item 'too much trouble at work' also had a significant hazardous effect on mental health with an adjusted hazard ratio (95% CI) of 1.43 (1.00-2.04). Some specific items of perceived job stress could cause mental ill health in workers.