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 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

scholarly journals Mental health status: a cross sectional study on rural economically productive population of field practice area of a tertiary medical care institute in Ujjain, Madhya Pradesh

2018 ◽  
Vol 5 (12) ◽  
pp. 5212
Author(s):  
Vibha Arjaria ◽  
Badri Narayan Mishra ◽  
Dharampal Singh Chouhan
Keyword(s):  
Mental Health ◽  
Health Status ◽  
Mental Health Disorders ◽  
Cross Sectional Study ◽  
Mental Health Disorder ◽  
Mental Health Status ◽  
Sectional Study ◽  
Cross Sectional ◽  
Field Practice ◽  
Health Disorders

Background: The World Health Organization (WHO) Global Burden of Disease Study has estimated that psychiatric disorders emerging all around the globe and are increasing at a high pace. They have an impact on both the economic aspects and quality-of-life of the people. Present study was conducted to broaden our knowledge regarding mental health status in terms of prevalence of mental health disorders in the rural population, constituting 64% of the total population in India. Present study aims to estimate the prevalence of mental health disorders in the selected area and study the association of each disorder with various socioeconomic variables of individuals. Objectives of the study were to assess and associate the prevalence of study population for major mental health disorders under the headings –overall probability of any mental health disorder, internalizing disorders and externalizing disorders as broad categories.Methods: A cross-sectional study was conducted among 430 participants residing in six selected villages of rural field practice area of native college in Ujjain district. Statistical methods which applied are: percentage and proportion, mean and standard deviation and chi-square analysis for assessing the association.Results: Present study showed 44.2% participants scored in the category of high probability of having diagnosis of any mental health disorder. On testing each subgroup disorder probability of getting diagnosed with internalizing disorder emerged with prevalence of almost 50% while probability of externalizing disorder was found in 30.4% population.Conclusions: The present study revealed that nearly half of study participants had the probability of suffering from some kind of mental health disorder and association found with gender, family type, and occupation of the individual.

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.

scholarly journals Recruitment of child soldiers in Nepal: Mental health status and risk factors for voluntary participation of youth in armed groups.

2016 ◽  
Vol 22 (3) ◽  
pp. 208-216 ◽  
Author(s):  
Brandon A. Kohrt ◽  
Minyoung Yang ◽  
Sauharda Rai ◽  
Anvita Bhardwaj ◽  
Wietse A. Tol ◽  
...  
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Health Status ◽  
Child Soldiers ◽  
Mental Health Status ◽  
Voluntary Participation ◽  
Armed Groups

scholarly journals Mental health status and gender as risk factors for onset of physical illness over 10 years

2013 ◽  
Vol 68 (1) ◽  
pp. 64-70 ◽  
Author(s):  
Flora I Matheson ◽  
Katherine L W Smith ◽  
Rahim Moineddin ◽  
James R Dunn ◽  
Richard H Glazier
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Health Status ◽  
Physical Illness ◽  
Mental Health Status ◽  
And Gender

scholarly journals Exploring the relationship of emotional intelligence with mental health status in polish unemployed persons – differences between men and women

2016 ◽  
Vol 47 (4) ◽  
pp. 436-444 ◽  
Author(s):  
Katarzyna A. Knopp
Keyword(s):  
Mental Health ◽  
Gender Differences ◽  
Emotional Intelligence ◽  
Health Status ◽  
Mental Health Disorders ◽  
The State ◽  
Men And Women ◽  
Health Disorders ◽  
Relationship Of ◽  
The Relationship

Abstract This study investigates the relationship between EI and the state of mental health of unemployed persons. Gender differences were also identified in terms of mental health and its correlation with EI. A sample of 160 Polish unemployed persons aged 35 to 45 years filled in self-descriptive measures of EI and mental health. Significant gender differences were found - unemployed women were characterised by a greater intensity of mental health disorders than unemployed men. EI was negatively correlated with mental health disorders, but the correlations were few and weaker than expected. However, when unemployed persons with a low, average and high EI were compared, it turned out that participants with a low EI were characterised by a significantly worse condition of mental health than participants with a average or high EI.

"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 .

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