scholarly journals Predeployment Sleep Duration and Insomnia Symptoms as Risk Factors for New-Onset Mental Health Disorders Following Military Deployment

SLEEP ◽  
2013 ◽  
Vol 36 (7) ◽  
pp. 1009-1018 ◽  
Author(s):  
Philip Gehrman ◽  
Amber D. Seelig ◽  
Isabel G. Jacobson ◽  
Edward J. Boyko ◽  
Tomoko I. Hooper ◽  
...  
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Sleep Duration ◽  
Mental Health Disorders ◽  
Military Deployment ◽  
Health Disorders ◽  
Insomnia Symptoms ◽  
New Onset

Mental health problems experienced by patients with rheumatic diseases during COVID-19 pandemic

2021 ◽  
Vol 17 ◽  
Author(s):  
Anass Adnine ◽  
Khawla Nadiri ◽  
Ilias Soussan ◽  
Siriman Coulibaly ◽  
Khadija Berrada ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Mental Health ◽  
Risk Factors ◽  
Health Status ◽  
Rheumatic Disease ◽  
Rheumatic Diseases ◽  
Mental Health Disorders ◽  
Mental Health Status ◽  
Health Disorders ◽  
Insomnia Symptoms

Background: Patients with rheumatic diseases are more likely to suffer from anxiety, depression and insomnia. Yet, little is known about mental health status during COVID-19 pandemic. Objective : This study aims to measure the prevalence of mental health disorders among patients with rheumatic diseases in the era of COVID-19 pandemic and to determine potential risk factors for major symptoms of depression, anxiety, and insomnia in participants. Methods: Participants with rheumatic diseases were asked to complete a questionnaire using a telephonic interview. Sociodemographic and rheumatic disease characteristics were recorded. Mental health status was assessed by the patient health questionnaire-9 (PHQ-9), generalized anxiety disorder (GAD)-7, and insomnia severity index (ISI) questionnaires to detect depression, anxiety and insomnia symptoms, respectively. Results : We included 307 patients in the survey. Rheumatoid arthritis was the most frequent diagnosis (55%). Of all participants, 7.5% had known depression and 5.5% known anxiety. Mental health disorders were insomnia (34.9%), anxiety (33.2%), and depression (24.4%). Major symptoms of insomnia, anxiety, and depression were noted in respectively, 19.9%, 12.4%, and 7.8% of participants. Risk factors for major insomnia were male gender (OR= 4.36, 95% CI 2.06 to 9.25; p<0.0001), low socioeconomic status (OR= 2.64, 95% CI 1.44 – 4.83; p<0.002) and having rheumatoid arthritis (OR= 2.00, 95% CI 1.04 to 3.84; p<0.036). Major anxiety was associated with low monthly income (OR=1.79, 95% CI 1.07 to 3.01; p<0.026), and higher Numerical Rating Scale (NRS) of pain (OR=1.795, 95% CI 1.074 to 2.994 ; p<0.026). Major depression was associated with worsening of rheumatic disease (OR=1.86, 95% CI 1.06 to 3.26; p<0.03). Conclusions : A high frequency of undiagnosed depression, anxiety and insomnia symptoms was found in rheumatic patients. Rheumatologists should be aware of these comorbidities, especially in the era of COVID-19 pandemic.

scholarly journals The Relationship between Mental Health, Educational Burnout and Strategies for Coping with Stress among Students. A Cross-Sectional Study of Poland

2021 ◽  
Author(s):  
Piotr Długosz
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Regression Analysis ◽  
Coping Strategies ◽  
Satisfaction With Life ◽  
Mental Health Disorders ◽  
Hierarchical Regression ◽  
Coping With Stress ◽  
Hierarchical Regression Analysis ◽  
Health Disorders

Objective The study aims to investigate the risk factors of bad psychosomatic health among students in quarantine during the first wave of the COVID-19 pandemic. Method:The survey was conducted on-line, on a sample of 1,978 respondents in Poland. The study was carried out by the end of the summer semester. The questionnaire was designed in a way which allows for the observation of main risk factors which have impact on the students&rsquo; mental health. The variance analysis and the hierarchical regression analysis were used to determine the predictors of mental health. Results:The results indicate that average and high levels of psychosomatic disorders were observed among 61% of respondents. The hierarchical regression analysis has revealed that the main factors influencing the level of mental health disorders were educational burnout, satisfaction with life, strategies for coping with stress and gender. As indicated by the respondents, mental health disorders increase in tandem with educational burnout, the application of emotion-focused coping strategies and the lack of satisfaction with one&rsquo;s life. Moreover, it was observed that female respondents scored higher on the scale of disorders in comparison to males. Conclusions:The results of research indicate that distance education and negative coping strategies are the main risk factors of mental health disorders among students during the pandemic.

Night-to-Night Variability of Sleep in Children With ADHD and Typically Developing Controls

2015 ◽  
Vol 22 (10) ◽  
pp. 942-946 ◽  
Author(s):  
Abbey Poirier ◽  
Penny Corkum
Keyword(s):  
Mental Health ◽  
Sleep Duration ◽  
Sleep Problems ◽  
Mental Health Disorders ◽  
Typically Developing ◽  
Children With Adhd ◽  
Sleep Parameters ◽  
Health Disorders ◽  
Objective Research ◽  
Age And Sex

Objective: Research results on the nature of sleep problems in children with ADHD are highly inconsistent. It is frequently reported that children with ADHD show more night-to-night variability in sleep than their typically developing (TD) peers, but this finding is also inconsistent. Lack of methodological control may account for these inconsistent findings. The current study examined the night-to-night variability of sleep between TD children and children with ADHD who were rigorously diagnosed, medication naïve, and free from comorbid mental health disorders. Method: Sleep parameters were analyzed for night-to-night variability across 4 weekday nights using actigraphy in 50 children with ADHD and 50 age- and sex-matched TD children. Results: There was a significant night-to-night variability for only sleep duration, but this was similar in both groups. Conclusion: These findings suggest that sleep problems in children with ADHD are not due to greater variability in sleep parameters relative to their TD peers.

"Importance of Mental Health" (Preprint)

2020 ◽  
Author(s):  
Salman Muhammad Soomar
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Well Being ◽  
Mental Health Disorders ◽  
Personality Factors ◽  
Health Issues ◽  
Health It ◽  
Handling Stress ◽  
Mental Health Issues ◽  
Health Disorders

UNSTRUCTURED Health is the state of overall well-being which includes physical, mental, and social wellbeing. Good health is a resource for living everyday life. It is central for functioning properly, handling stress, living a longer and more active life. Physical well-being includes a healthful lifestyle to decrease the risk of disease. Mental health is equally important as physical health, it is integral and important component of health, it provides strength and enhance a person’s ability to complete regular tasks . Differences in socioeconomic and other living conditions can lead to health inequities which can impact on a person’s health especially mental health though this is not the case in every situation, however the risk to an individual’s mental health determine how the person is going to suffer with mental health issues as these risk factors are not only bounded to poor socio-economic class . Violence, rapid social change, stressful work conditions, gender discrimination, social exclusion, physically ill health, sexual abuse, and persistent socio-economic pressures are recognized as risk factors for poor mental health. Moreover, there are some personality factors and genetic factors that also make people vulnerable to mental health disorders . Mental health issues alone add a lot in the global burden of disease however it is associated with other diseases and conditions as well. Mental health disorders in different forms and intensities a large number of people in their lifetime which not only impact on their health but it causes economic burden on the person and family as well . Despite a greater population is affected from mental health illness, the estimates produced through research regarding are still underestimated the reasons may be overlapping between psychiatric and neurological disorder and keeping suicide behaviors associated with self-harm a separate category other than mental illness . The major reason of underestimation can be less no reporting for these illness due to stigma associated with it. Stigma is the negative attitude towards the illness which creates discrimination and is the main obstacle in seeking help and care .

scholarly journals Are children of any age susceptible to suicidal behaviour?

2020 ◽  
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Young Adults ◽  
Suicide Attempt ◽  
Suicidal Behaviour ◽  
Mental Health Disorders ◽  
Large Cohort ◽  
Adolescents And Young Adults ◽  
The Usa ◽  
Health Disorders

Mei-Sing Ong and colleagues in the USA and Canada have investigated the risk factors for suicide attempt in a large cohort of children, adolescents, and young adults with mental health disorders.

scholarly journals The prevalence, incidence, prognosis and risk factors for depression and anxiety in a UK cohort during the COVID-19 pandemic

2021 ◽  
Author(s):  
Ru Jia ◽  
Kieran Ayling ◽  
Trudie Chalder ◽  
Adam Massey ◽  
Norina Gasteiger ◽  
...  
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Perceived Risk ◽  
Online Survey ◽  
Negative Impact ◽  
Positive Mood ◽  
Mental Health Disorders ◽  
Depression And Anxiety ◽  
Population Mental Health ◽  
Health Disorders

Background: The COVID-19 pandemic had profound immediate impacts on population mental health. However, in whom the effects may be prolonged is less clear. Aims: To investigate the prevalence, incidence, prognosis, and risk factors for depression and anxiety reported in a UK cohort over three distinct periods in the pandemic in 2020. Method: An online survey was distributed to a UK community cohort (n=3097) at three points: April (baseline), July-September (T2) and November-December (T3). Participants completed validated measures of depression and anxiety on each occasion and we prospectively explored the role of socio-demographic factors and psychological factors (loneliness, positive mood, perceived risk of and worry about COVID-19) as risk factors. Results: Depression (PHQ-9 means - baseline: 7.69, T2: 5.53, T3: 6.06) and anxiety scores (GAD-7 means -baseline: 6.59, T2: 4.60, T3: 4.98) were considerably greater than pre-pandemic population norms. Women reported greater depression and anxiety than men. Being younger, having prior mental health disorders, more negative life events due to COVID-19, as well as greater loneliness and lower positive mood at baseline were significant predictors of poorer mental health outcomes. Conclusion: The negative impact of the COVID-19 pandemic on mental health has persisted to some degree. Younger people and individuals with prior mental health disorders were at greatest risk. Easing of restrictions might bring the opportunity for a return to social interaction, which could mitigate the risk factors of loneliness and positive mood.

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