Does Exercise Affect Mental Health? (Study Sample: Athlete and Non-Athlete)

Aim: Promoting health and ensuring health in the community is one of the important pillars of the development of societies and it seems that important factors play a role in promoting the mental health of the community. Therefore, the purpose of this study is to investigate the effect of exercise on mental health. Methodology: This study was a causal-comparative research that has been conducted through field method. The statistical population of this study was all students in Tarbiat Modares University that its non-athlete population was 6032 and its athlete population was 298. 680 non-athlete students and 204 athlete students were selected as Morgan’s table. The instrument of this study was included General Health Questionnaire (GHQ-28). The collected data were analyzed by Kruskal Wallis Test and Mann-Whitney U test. Findings: The results showed that there was a significant difference between male and female athlete students and between female athlete and non-athlete students in social dysfunction subscale, so that female athlete students’ social function had a better position in both groups. On the other hand, the difference between non-athlete female and male students was not significant in any of the subscales, but the difference between male athlete and non-athlete students was significant in all subscale of mental health. Other results of this study showed that there was a significant difference between married and single students’ mental health (p <0.05), so that married students had higher mental health than single students in somatic symptoms, social dysfunction, and depression subscales. Conclusion: Therefore, the increasing of motivation should be considered through the culture building and the promotion of general knowledge about the benefits of physical activity.

Download Full-text

Review of Social order and mental health: The Florida Mental Health Study.

American Journal of Orthopsychiatry ◽

10.1037/h0098885 ◽

1980 ◽

Vol 50 (2) ◽

pp. 376-378

Author(s):

Thomas F. McGee

Keyword(s):

Mental Health ◽

Social Order ◽

Health Study ◽

Mental Health Study

Download Full-text

The Relationship between Suicidality and Socio-Demographic Variables, Physical Disorders, and Psychiatric Disorders: Results from the Singapore Mental Health Study 2016

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18084365 ◽

2021 ◽

Vol 18 (8) ◽

pp. 4365

Author(s):

Kundadak Ganesh Kudva ◽

Edimansyah Abdin ◽

Janhavi Ajit Vaingankar ◽

Boon Yiang Chua ◽

Saleha Shafie ◽

...

Keyword(s):

Mental Health ◽

Suicidal Ideation ◽

Psychiatric Disorders ◽

Population Level ◽

Risk Groups ◽

Epidemiological Survey ◽

Health Study ◽

Physical Disorders ◽

Mental Health Study ◽

The Relationship

Suicidality encompasses suicidal ideation, plans, and attempts. This paper aims to establish associations between suicidality and sociodemographic variables, physical disorders, and psychiatric disorders. The Singapore Mental Health Study 2016 was a population-level epidemiological survey, which determined the prevalence of physical disorders, psychiatric disorders, and suicidality. Questionnaires were used to determine socio-demographic information. A total of 6216 respondents were interviewed. Lifetime prevalence of suicidal ideation, planning, and attempts were 7.8%, 1.6%, and 1.6%, respectively. All components of suicidality were more likely in those with major depressive disorder, bipolar disorder, generalized anxiety disorder, alcohol use disorder, and chronic pain. Suicidal ideation and attempts were more likely in those with diabetes. Age above 65, being male, and a monthly household income of ≥ SGD 10,000 were associated with a lower likelihood of suicidal ideation. These findings indicate that there are high-risk groups for whom suicidality is a concern, and for whom interventions may be needed.

Download Full-text

685 Sleep Latency, Pre and Peri-COVID-19 Experiences and PTSD Symptoms: Results from the NYU COVID-19 Mental Health Study

SLEEP ◽

10.1093/sleep/zsab072.683 ◽

2021 ◽

Vol 44 (Supplement_2) ◽

pp. A267-A268

Author(s):

April Rogers ◽

Judite Blanc ◽

Azizi Seixas ◽

Joao Nunes ◽

Georges Casimir ◽

...

Keyword(s):

Mental Health ◽

New York ◽

New York City ◽

York City ◽

Sleep Disturbances ◽

Health Study ◽

Sleep Onset Latency ◽

Ptsd Symptoms ◽

Effective Response ◽

Mental Health Study

Abstract Introduction An effective response to the COVID-19 pandemic has been the decision to subject individuals residing in New York City to quarantine rules in order to reduce the spread of the virus. As might have been expected, restriction of usual daily activities would affect individuals’ sleep-wake patterns. It is also known that exposure to traumatic experiences can also engender sleep disturbances, most notably in their ability to initiate sleep. This study investigated the associations between sleep onset latency (SOL), pre and peri-COVID-19 exposure and symptoms of posttraumatic stress disorder (PTSD) among New Yorkers. Methods 541 individuals (female = 373(69%); mean age=40.9) were recruited during the summer and fall of 2020 in New York City to participate in the NYU-COVID-19 Mental Health Study. Participants provided sociodemographic data and were also asked to respond to the COVID-19 quarantine experiences, comprised of seven binary questions, the PTSD Checklist-PCL-5, and the Pittsburg Sleep Quality Index. Descriptive and linear regression analysis were performed to explore associations of scores on the COVID-19 quarantine experience with PTSD and sleep data. All analyses were performed using SPSS 25.0 Results Regression analyses revealed that SOL emerged as the strongest independent predictor of PTSD symptoms [B(t) = −.630(12.7); p < .001]; factors adjusted in the model included pre and peri-covid-19 factors such as age, sex, job type, and quarantine experience. Analyses assessing potential interaction effect revealed that quarantine experience did not affect the relationship between SOL and PTSD [B(t) = .086(.831); p = >.005]. The other sleep factors in the model did not yield significance. sleep duration had a weak correlation with quarantine, it was not found to be a predictor of PTSD. Conclusion We observed that SOL was the most important determinant of PTSD symptoms among individuals exposed to COVID-19. This is consistent with other findings suggesting that a sizable proportion of individuals exposed to pandemics are likely to experience sleep disturbances. It is plausible that quarantine might lead to increased daytime naps, which may impact SOL. Further research is needed to better understand the association of SOL and PTSD as a result of Covid-19. Support (if any) K07AG052685, R01MD007716, R01HL142066, T32HL129953, K01HL135452, R01HL152453

Download Full-text