Mental health

About: Mental health is a research topic. Over the lifetime, 183794 publications have been published within this topic receiving 4340463 citations. The topic is also known as: mental wellbeing.

Psychiatric comorbidity in epilepsy: a population-based analysis.

Abstract: PURPOSE: The estimated prevalence of mental health disorders in those with epilepsy in the general population varies owing to differences in study methods and heterogeneity of epilepsy syndromes. We assessed the population-based prevalence of various psychiatric conditions associated with epilepsy using a large Canadian national population health survey. METHODS: The Canadian Community Health Survey (CCHS 1.2) was used to explore numerous aspects of mental health in persons with epilepsy in the community compared with those without epilepsy. The CCHS includes administration of the World Mental Health Composite International Diagnostic Interview to a sample of 36,984 subjects. Age-specific prevalence of mental health conditions in epilepsy was assessed using logistic regression. RESULTS: The prevalence of epilepsy was 0.6%. Individuals with epilepsy were more likely than individuals without epilepsy to report lifetime anxiety disorders or suicidal thoughts with odds ratio of 2.4 (95% CI = 1.5-3.8) and 2.2 (1.4-3.3), respectively. In the crude analysis, the odds of lifetime major depression or panic disorder/agoraphobia were not greater in those with epilepsy than those without epilepsy, but the association with lifetime major depression became significant after adjustment for covariates. CONCLUSIONS: In the community, epilepsy is associated with an increased prevalence of mental health disorders compared with the general population. Epilepsy is also associated with a higher prevalence of suicidal ideation. Understanding the psychiatric correlates of epilepsy is important to adequately manage this patient population. Language: en

Social capital and mental illness: a systematic review

Abstract: Study objective: The concept of social capital has influenced mental health policies of nations and international organisations despite its limited evidence base. This papers aims to systematically review quantitative studies examining the association between social capital and mental illness. Design and setting: Twenty electronic databases and the reference sections of papers were searched to identify published studies. Authors of papers were contacted for unpublished work. Anonymised papers were reviewed by the authors of this paper. Papers with a validated mental illness outcome and an exposure variable agreed as measuring social capital were included. No limitations were put on date or language of publication. Main results: Twenty one studies met the inclusion criteria for the review. Fourteen measured social capital at the individual level and seven at an ecological level. The former offered evidence for an inverse relation between cognitive social capital and common mental disorders. There was moderate evidence for an inverse relation between cognitive social capital and child mental illness, and combined measures of social capital and common mental disorders. The seven ecological studies were diverse in methodology, populations investigated, and mental illness outcomes, making them difficult to summarise. Conclusions: Individual and ecological social capital may measure different aspects of the social environment. Current evidence is inadequate to inform the development of specific social capital interventions to combat mental illness.

COVID-19 Pandemic and Lockdown Measures Impact on Mental Health Among the General Population in Italy

Abstract: Background The psychological impact of the COronaVIrus Disease 2019 (COVID-19) outbreak and lockdown measures on the Italian population are unknown. The current study assesses rates of mental health outcomes in the Italian general population three to 4 weeks into lockdown measures and explores the impact of COVID-19 related potential risk factors. Methods A web-based survey spread throughout the internet between March 27th and April 6th 2020. Eighteen thousand one hundred forty-seven individuals completed the questionnaire, 79.6% women. Selected outcomes were post-traumatic stress symptoms (PTSS), depression, anxiety, insomnia, perceived stress, and adjustment disorder symptoms (ADS). Seemingly unrelated logistic regression analysis was performed to identify COVID-19 related risk factors. Results Endorsement rates for PTSS were 6,604 (37%), 3,084 (17.3%) for depression, 3,700 (20.8%) for anxiety, 1,301 (7.3%) for insomnia, 3,895 (21.8%) for high perceived stress and 4,092 (22.9%) for adjustment disorder. Being woman and younger age were associated with all of the selected outcomes. Quarantine was associated with PTSS, anxiety and ADS. Any recent COVID-related stressful life event was associated with all the selected outcomes. Discontinued working activity due to the COVID-19 was associated with all the selected outcomes, except for ADS; working more than usual was associated with PTSS, Perceived stress and ADS. Having a loved one deceased by COVID-19 was associated with PTSS, depression, perceived stress, and insomnia. Conclusion We found high rates of negative mental health outcomes in the Italian general population 3 weeks into the COVID-19 lockdown measures and different COVID-19 related risk factors. These findings warrant further monitoring on the Italian population's mental health.

Help-seeking and access to mental health care in a university student population.

Abstract: Background: University students represent an important population in which to study access to mental health care. Understanding their unmet needs will enhance efforts to prevent and treat mental disorders during a pivotal period in life. Objective: To quantify mental health service use and estimate how various factors are associated with help-seeking and access in a university student population. Design: A Web-based survey was administered to a random sample of 2785 students attending a large, public university with a demographic profile similar to the national student population. Nonresponse bias was accounted for using administrative data and a nonrespondent survey. Measures: Mental health was measured using the Patient Health Questionnaire screens for depressive and anxiety disorders. Mental health service utilization was measured as having received psychotropic medication or psychotherapy in the past year. Results: Of students with positive screens for depression or anxiety, the proportion who did not receive any services ranged from 37% to 84%, depending on the disorder. Predictors of not receiving services included a lack of perceived need, being unaware of services or insurance coverage, skepticism about treatment effectiveness, low socioeconomic background, and being Asian or Pacific Islander. Conclusions: Even in an environment with universal access to free short-term psychotherapy and basic health services, most students with apparent mental disorders did not receive treatment. Initiatives to improve access to mental health care for students have the potential to produce substantial benefits in terms of mental health and related outcomes.