Psychotic experience subtypes, poor mental health status and help-seeking behaviour in a community sample of young adults

2011 ◽  
Vol 6 (3) ◽  
pp. 300-308 ◽  
Author(s):  
Marco Armando ◽  
Barnaby Nelson ◽  
Alison R. Yung ◽  
Riccardo Saba ◽  
Elena Monducci ◽  
...  
Keyword(s):  
Mental Health ◽  
Young Adults ◽  
Health Status ◽  
Help Seeking ◽  
Community Sample ◽  
Poor Mental Health ◽  
Mental Health Status ◽  
Psychotic Experience ◽  
Poor Mental Health Status ◽  
Help Seeking Behaviour

scholarly journals Depression, sleeping pattern & suicidal ideation among medical students in Bangladesh: A cross-sectional pilot study

2020 ◽  
Author(s):  
M Tasdik Hasan
Keyword(s):  
Mental Health ◽  
Health Status ◽  
Medical Students ◽  
Pilot Study ◽  
Poor Mental Health ◽  
Mental Health Status ◽  
Suicidal Tendency ◽  
Cross Sectional ◽  
Prevalence Of Depression ◽  
Poor Mental Health Status

Background: Depression is a major morbidity and the most common mental disorder among the medical students in medical schools globally. Undergraduate students suffer stress more due to their academic curriculum than the students of other faculties. In low resource settings like Bangladesh, there is a dearth in research on mental health of undergraduate medical students. This pilot study was conducted to add to the existing limited evidence by reporting the prevalence of depression, describing sleeping pattern & suicidal tendencies among medical students. Relevantly, we have investigated to the overall mental health status among the medical students in Bangladesh. Methods: This cross-sectional study was conducted in two medical colleges of Dhaka in between July 2013 to December 2013, among 221 Bangladeshi medical students from first to fifth year. By convenient sampling technique, data were collected by a pretested, structured, self-administered questionnaire and analysis was done by SPSS 18.0 version. Depression were assessed by validated PHQ-9 tool among the respondents. Goldberg’s General Health Questionnaire (GHQ-28) was used for assessing overall mental health status. Results: Depression was found in 38.9% of participants with 3.6%, 14.5%, 20.8% of being either severe, moderate and mild depression respectively. 17.6% medical students had suicidal tendency or attempted suicide at least for once after attending medical school. The sleeping hours were inadequate and altered after starting this stressful academic course. 33.5% medical students had poor mental health status. There was a statistically significant association between poor mental health status with age group of less than 22 years and initial academic study year (1st to 3rd of MBBS).Conclusion: The findings are suggestive of a higher prevalence of depression among early year medical students and marginal predominance in males. Suicidal tendency is also higher. These calls for further investigation with situation analysis, qualitative explorations and surveys to explore the burden of such disorders in Bangladesh.

scholarly journals The Association of Poor Mental Health Status and Sociocultural Factors in Men: A Population-Based Study in Tehran, Iran

2016 ◽  
Vol 12 (1) ◽  
pp. 96-103 ◽  
Author(s):  
Jafar Hassanzadeh ◽  
Mohsen Asadi-Lari ◽  
Haleh Ghaem ◽  
Aziz Kassani ◽  
Mohsen Niazi ◽  
...  
Keyword(s):  
Mental Health ◽  
Social Capital ◽  
Logistic Regression ◽  
Health Status ◽  
Family Size ◽  
Smoking Status ◽  
Program Planning ◽  
Poor Mental Health ◽  
Mental Health Status ◽  
Poor Mental Health Status

Mental ill-health has increased among Iranian men in the recent years. Mental health is complexly determined by sociocultural, psychological, demographic characteristics, and some health-risk behaviors such as smoking. This study aimed to explore the association(s) between demographic factors, smoking status, social capital, and poor mental health status in a sample of Iranian men. The data were derived from a survey titled “Urban Health Equity Assessment and Response Tool–2” in Tehran, Iran ( n = 11,064). A multistage sampling method was applied in the study. The General Health Questionnaire–28 was used to assess poor mental health status (range = 0-84, scores higher than 23 indicated poor mental health status). The data were analyzed using t test, chi-square test, and multivariate logistic regression. The means of age and family size were 47.14 ± 17.26 years (range = 20-91) and 3.54 ± 1.32 individuals (range = 1-15), respectively. The majority of the participants were employed (57%, n = 6,361). The prevalence of poor mental health was 36.36%, 95% confidence interval (CI) [35.46, 37.26]. The components of social capital were positively associated with poor mental health status. Family size (adjusted odds ratio [AOR] = 0.93; 95% CI [0.90, 0.96]), job status (unemployed vs. employed, AOR = 1.34; 95% CI [1.16, 1.55]), marital status (widowed and divorced vs. single, AOR = 1.09; 95% CI [1.02, 1.17]), education level (illiterate vs. academic, AOR = 1.18; 95% CI [1.09, 1.29]), and smoking status (smokers vs. nonsmokers, AOR = 1.46; 95% CI [1.31, 1.62]) were directly associated with poor mental health status in the logistic regression model. These results suggest that social capital could be an important approach for men to attain suitable mental health and reduce mental disorders. The high prevalence of poor mental health in men merits more attention in mental health policy and program planning.

scholarly journals Migration and Mental Health in the Aftermath of Disaster: Evidence from Mt. Merapi, Indonesia

2019 ◽  
Author(s):  
Jonathan A. Muir ◽  
Michael R. Cope ◽  
Leslie R. Angeningsih ◽  
Jorden Jackson ◽  
Ralph B. Brown
Keyword(s):  
Mental Health ◽  
Health Status ◽  
Return Migration ◽  
Volcanic Eruptions ◽  
Well Being ◽  
Poor Mental Health ◽  
Mental Health Status ◽  
Factors Associated ◽  
Poor Mental Health Status ◽  
Health And Well Being

Migration is a standard survival strategy in the context of disasters. While prior studies have examined factors associated with return migration following disasters, an area that remains relatively under explored is whether moving home to one's original community results in improved health and well-being compared to other options such as deciding to move on. In the present study, we seek to address this gap in the literature through examining whether return migration, compared to other migration options, results in superior improvements to mental health. We draw upon data from a pilot study conducted 16 months after a series of volcanic eruptions in Merapi, Indonesia. Using ordinal logistic regression, we find that compared to respondents who were still displaced, respondents who had ``moved home'' were less likely to report poor mental health status (OR = 0.50 [95\% CI = 0.26, 0.95]). Likewise, respondents who had ``moved on'' were less likely to report poor mental health status (OR = 0.38 [95\% CI = 0.13, 1.04]). The results suggest that while moving home was an improvement from being displaced, it may have been better to move on, as this yielded superior associations with self-reported mental health.

scholarly journals Poor mental health status and aggression are associated with poor driving behavior among male traffic offenders

2015 ◽  
pp. 2071 ◽  
Author(s):  
Serge Brand ◽  
Nasrin Abdoli ◽  
Alirez Esmaeili ◽  
Jalal Shakeri ◽  
Edith Holsboer-Trachsler ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Status ◽  
Driving Behavior ◽  
Poor Mental Health ◽  
Mental Health Status ◽  
Poor Mental Health Status

scholarly journals Factors Associated with Poor Mental Health Status Among Homeless Women With and Without Dependent Children

2013 ◽  
Vol 50 (5) ◽  
pp. 553-559 ◽  
Author(s):  
Catharine Chambers ◽  
Shirley Chiu ◽  
Allison N. Scott ◽  
George Tolomiczenko ◽  
Donald A. Redelmeier ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Status ◽  
Poor Mental Health ◽  
Mental Health Status ◽  
Homeless Women ◽  
Dependent Children ◽  
Factors Associated ◽  
Poor Mental Health Status

scholarly journals Relationship between Internet Addiction and Poor Mental Health among Japanese Adolescents

2020 ◽  
Author(s):  
Yuichiro OTSUKA ◽  
Yoshitaka KANEITA ◽  
Osamu ITANI ◽  
Mikiko TOKIYA
Keyword(s):  
Mental Health ◽  
Health Status ◽  
Internet Addiction ◽  
Odds Ratio ◽  
Adjusted Odds Ratio ◽  
Poor Mental Health ◽  
Mental Health Status ◽  
Regression Analyses ◽  
Poor Mental Health Status ◽  
New Onset

Background: Internet addiction and poor mental health are two pervasive problems during adolescence. This study aimed to determine whether Internet addiction and poor mental health status exhibited a bidirectional relationship in which either variable could become a risk factor for the onset of the other. Methods: Longitudinal school-based survey with a baseline sample of 1547 students among 8 schools (10th graders) in Japan surveyed in 2015 and followed up 1 year later. The schools are located in the middle city. We assessed internet addiction using the Japanese version of the Diagnostic Questionnaire developed by Young and mental health status using the 12-item General Health Questionnaire. Regression analyses including the covariates tested whether Internet addiction was related to the onset of poor mental health among youth who had never internet addiction, and poor mental health was related to the onset of internet addiction. Results: The incidence for Internet addiction and poor mental health during one year were 22.0% and 8.8%, respectively. Multiple regression analyses showed that poor mental health (adjusted odds ratio: 2.17 [95%CI: 1.45–3.25]) promoted new onset of Internet addiction and Internet addiction (adjusted odds ratio: 2.39 [95%CI: 1.36–4.20]) also promoted new onset of poor mental health. Conclusion: Internet addiction and poor mental health status each increased the risk of onset of the other. Adolescents, their parents and schools need to take policies to use properly Internet.

Longitudinal Epidemiologic Study of Poor Mental Health Status in Japanese Adolescents

2018 ◽  
Vol 79 (4) ◽  
Author(s):  
Osamu Itani ◽  
Yoshitaka Kaneita ◽  
Kazuto Doi ◽  
Mikiko Tokiya ◽  
Maki Jike ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Status ◽  
Epidemiologic Study ◽  
Poor Mental Health ◽  
Mental Health Status ◽  
Japanese Adolescents ◽  
Poor Mental Health Status
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