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.

scholarly journals Burden of mental health disability in Kerala: A secondary time trend analysis from 2002 to 2018

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
J Joseph ◽  
H Sankar ◽  
D Nambiar
Keyword(s):  
Mental Health ◽  
Mental Illness ◽  
Mental Retardation ◽  
Public Sector ◽  
Human Resources ◽  
Mental Health Disorders ◽  
The State ◽  
The Public ◽  
Health Infrastructure ◽  
Health Disorders

Abstract The fourth target of Sustainable Development Goal (SDG) 3 advocates for the promotion of mental health and wellbeing. The Indian state of Kerala is recognized for its gains in health and development but has substantial burden of mental health ailments. Historical analysis is vital to understand the pattern of mental health morbidity. The current study focusses on comparable estimates available from three largescale population-based surveys in India to explore trends in prevalence of mental health disorders over the years and map resources and infrastructure available for mental health care in Kerala. We undertook a secondary analysis of national demographic surveys from 2002 to 2018 which reported information on mental health and availability of health infrastructure and human resources. Data were collated and descriptive analyses were conducted. We compared the national and state level estimates over the years to study the trend in the prevalence of mental health disability. The prevalence of mental retardation and intellectual disability in Kerala increased from 194 per hundred thousand persons in 2002 to 300 per hundred thousand persons in 2018, two times higher to the national average. The prevalence of mental illness increased from 272 per hundred thousand people to 400 per hundred thousand people in sixteen years. The prevalence was higher among males (statistical significance was not indicated) in mental illness and mental retardation. 2018 data showed that the public sector had 0.01 hospitals and 5.53 beds per hundred thousand persons available for mental health treatment. Results showed a substantial increase in mental health illness over the 16-year study period that has affected males and females, as well as all social classes of the state. The current health infrastructure and human resources in the public sector of the state are inadequate to meet the current burden of the problem and to ensure universal access to care for its population. Key messages The trend in prevalence of mental health disorders in the state is increasing across the years. There is a mismatch between the extend of the problem and resources available in public sector.

scholarly journals Dynamics of the relationship of emotional intelligence with the results of the state exam during the adaptation of school system to its introduction

2015 ◽  
Vol 8 (2) ◽  
pp. 139-150
Author(s):  
E.S. Dmitrieva ◽  
V.Ya. Gelman
Keyword(s):  
Emotional Intelligence ◽  
School System ◽  
The State ◽  
Russian Language ◽  
Self Report ◽  
First Year ◽  
First Year Students ◽  
Adaptation Processes ◽  
Relationship Of ◽  
The Relationship

Research is devoted to the study of the relationship of emotional intelligence of students with the results of the state exam in the adaptation of the school system for 5 years from the date of introduction. The sample consisted of 156 first-year students. Evaluation of the components of emotional intelligence was measured by self-report (EmIn questionnaire). There was a statistically significant correlation between the severity of different indicators of emotional intelligence of students passing the exam and the results of the three school subjects: Russian language, Mathematics, Social studies. It is shown that since the introduction in 2009 of compulsory exam the level of communication between the indicators of emotional intelligence and the results of the examination has changed. Adaptation processes to the introduction of the state exam lead to changes contingent of successful students: If at the time of the introduction of the exam more successful were students with higher EI, in the process of adaptation more successful became those with lower EI. It was shown that the components of EI, having the most important relationships with the results of the exam, are different for the considered subjects; the dynamics of these relationships has been revealed.

Widowhood and Mental Health: Social Predictors of Mental Health Disorders Among Widows

2021 ◽  
pp. 105413732110541
Author(s):  
Brown C. Taylor ◽  
Jordan Harrold
Keyword(s):  
Mental Health ◽  
Mental Health Disorders ◽  
First Year ◽  
Mental Health Providers ◽  
Health Providers ◽  
Psychosocial Needs ◽  
Post Traumatic Stress ◽  
Social Predictors ◽  
Health Disorders ◽  
The Relationship

This study examines the relationship between three common mental health disorders—anxiety, depression, and post-traumatic stress disorder—in the first year of spousal bereavement and a myriad of social factors—including the security of health insurance and the presence of children at home—among those who have been widowed. We analyzed a novel survey of 503 widows who had participated in the Modern Widows’ Club Widows Empowerment Event. We then used logistic regression to investigate the relationship between these variables, discovering nuance between them. Our findings further elucidate the need for health and mental health providers to be attuned to the unique psychosocial needs of widows, especially among the first year of widowhood.

scholarly journals Parental Mental Health in Childhood as a Risk Factor for Anxiety and Depression among People Seeking Help for Tinnitus and Hyperacusis

2019 ◽  
Vol 30 (09) ◽  
pp. 772-780 ◽  
Author(s):  
Hashir Aazh ◽  
Ali A. Danesh ◽  
Brian C. J. Moore
Keyword(s):  
Mental Health ◽  
Mental Illness ◽  
Risk Factor ◽  
Mental Health Disorders ◽  
Anxiety And Depression ◽  
Future Research ◽  
Parental Mental Illness ◽  
Parental Mental Health ◽  
Health Disorders ◽  
The Relationship

AbstractParental mental illness is a risk factor for mental health disorders in the offspring. However, the relationship between parental illness in childhood and mental health disorders in adulthood among patients with tinnitus and/or hyperacusis is not known.The aim was to explore the relationship between parental mental health in childhood and anxiety and depression for patients experiencing tinnitus and/or hyperacusis.This was a retrospective cross-sectional study with a correlational design.Two hundred eighty-seven consecutive patients who attended a Tinnitus and Hyperacusis Therapy Specialist Clinic in the United Kingdom were included. Their average age was 52.5 years.The association was explored between anxiety and depression measured via the Generalized Anxiety Disorder questionnaire (GAD-7) and the Patient Health questionnaire (PHQ-9) and responses to the question “While you were growing up during the first 18 years of life did your parent(s) have depression or mental illness?”Thirty-nine percent of patients (111/287) responded “yes” to the question about their parents’ mental health, which is about double the incidence in the general population. Regression analysis showed that parental mental illness significantly increased the risk of anxiety and depression, with unadjusted odds ratios (ORs) of 2.7 (95% confidence interval [CI]: 1.5–4.9, p = 0.001) for the PHQ-9 and 2.6 (95% CI: 1.4–4.8, p = 0.002) for the GAD-7. However, when the models were adjusted for the effects of age, gender, tinnitus handicap as measured via the Tinnitus Handicap Inventory, hyperacusis handicap as measured via the Hyperacusis questionnaire, uncomfortable loudness levels, GAD-7 scores (for the depression model only), and PHQ-9 scores (for the anxiety model only), parental mental health was only significantly associated with depression, with an OR of 2.7 (95% CI: 1.08–6.7, p = 0.033).Audiologists offering tinnitus and hyperacusis rehabilitation should screen patients for parental mental illness in childhood, especially for those with comorbid depression, and make onward referral to appropriate mental health services when needed. Future research should analyze the breadth and type of adverse childhood experiences among patients with tinnitus and hyperacusis and their relationship with mental problems and treatment efficacy.

Gender differences in the mental health literacy of young people

2014 ◽  
Vol 26 (2) ◽  
pp. 283-292 ◽  
Author(s):  
Adrian Furnham ◽  
Jennifer Annis ◽  
Kalia Cleridou
Keyword(s):  
Mental Health ◽  
Gender Differences ◽  
Health Literacy ◽  
Young People ◽  
Mental Health Literacy ◽  
Mental Health Disorders ◽  
The Other ◽  
Female Character ◽  
Health Disorders

Abstract Aim: This study explored the influence of gender on the mental health literacy (MHL) of young people. Method: In all, 370 young people (aged 17–22 years) completed one of two questionnaires, in which they had to label/provide a diagnosis for nine vignettes of people with different mental health disorders. Half the vignettes had a male and the other half had a female character. They also rated the vignette person on nine scales. Results: There was much variance in recognition for the different disorders, with a range of 77.0%–27.3% of participants “correctly” labeling the vignettes. Very few gender differences were found, but age and experience of/education in mental health were found to be positively correlated with MHL. Conclusion: Gender differences in MHL may not be as great as previously thought. Although some disorders were recognized by the majority of participants, there are still common disorders that were not.

The relationship between mental health disorders and treatment outcomes among adults who stutter

2009 ◽  
Vol 34 (1) ◽  
pp. 29-43 ◽  
Author(s):  
Lisa Iverach ◽  
Mark Jones ◽  
Sue O’Brian ◽  
Susan Block ◽  
Michelle Lincoln ◽  
...  
Keyword(s):  
Mental Health ◽  
Treatment Outcomes ◽  
Mental Health Disorders ◽  
Health Disorders ◽  
Adults Who Stutter ◽  
The Relationship

scholarly journals Correction: Excessive Smartphone Use and Self-Esteem Among Adults With Internet Gaming Disorder: Quantitative Survey Study (Preprint)

2020 ◽  
Author(s):  
Hyunmin Kim ◽  
In Young Choi ◽  
Dai-Jin Kim
Keyword(s):  
Mental Health ◽  
Internet Gaming Disorder ◽  
Self Esteem ◽  
Mental Health Disorders ◽  
Smartphone Addiction ◽  
Gaming Disorder ◽  
Internet Gaming ◽  
Smartphone Use ◽  
Health Disorders ◽  
The Relationship

UNSTRUCTURED Smartphone overuse can harm individual health and well-being. Although several studies have explored the relationship between problematic or excessive smartphone use and mental health, much less is known about effects on self-esteem, which is essential in having a healthy life, among adults with mental health disorders, including internet gaming disorder. Furthermore, given that smartphone usage differs by gender, little is known about gender differences in the relationship between smartphone overuse and self-esteem. The objective of this study was to assess self-esteem among individuals with mental health disorders and explore the relationship with excessive smartphone use. Participants were selected based on their responses to the internet gaming disorder assessment, which includes 9 items developed based on Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) criteria, from among a Korean cohort of smartphone users aged 20-40 years, resulting in a sample of 189 participants (men:120, women: 69). The Rosenberg self-esteem scale and the Korean smartphone addiction proneness scale were utilized to assess the outcome self-esteem with excessive smartphone use as the primary independent variable. Guided by the Bowlby attachment theory and prior studies, we selected several covariates. Generalized linear regression analyses, as well as subgroup analyses by gender, were performed. Among adults with internet gaming disorder, the average Korean smartphone addiction proneness scale score was significantly higher in women than that in men (41.30 vs. 37.94; P=.001), and excessive smartphone use was significantly more prevalent in women than it was in men (30.43% vs. 20.83%; P=.02). Our findings from the generalized linear regression analyses indicated that an increase in Korean smartphone addiction proneness scale score had a negative relationship with self-esteem among those with internet gaming disorder (β=–0.18, P=.001). Furthermore, our interaction models showed that, among those with internet gaming disorder, more men than women had lower self-esteem associated with an increase in Korean smartphone addiction proneness scale score and a high degree of smartphone overuse (β=–0.19, P=.004; β=–3.73, P<.001). Excessive smartphone use was found to be adversely associated with self-esteem among young and middle-aged adults with internet gaming disorder; notably, more men than women were negatively influenced (regarding self-esteem) by smartphone overuse. Based on our findings, more efforts should be made to reduce excessive or problematic smartphone use by considering developing public health interventions or policy, particularly among those with mental health disorders such as internet gaming disorder.

scholarly journals Evaluating the Relationship Between Fitbit Sleep Data and Self-Reported Mood, Sleep, and Environmental Contextual Factors in Healthy Adults: Pilot Observational Cohort Study (Preprint)

2020 ◽  
Author(s):  
Darshan Thota
Keyword(s):  
Mental Health ◽  
Contextual Factors ◽  
Sleep Time ◽  
Mental Health Disorders ◽  
Active Duty ◽  
Observational Cohort Study ◽  
Spearman Correlation ◽  
Observational Cohort ◽  
Health Disorders ◽  
The Relationship

BACKGROUND Mental health disorders can disrupt a person’s sleep, resulting in lower quality of life. Early identification and referral to mental health services are critical for active duty service members returning from forward-deployed missions. Although technologies like wearable computing devices have the potential to help address this problem, research on the role of technologies like Fitbit in mental health services is in its infancy. OBJECTIVE If Fitbit proves to be an appropriate clinical tool in a military setting, it could provide potential cost savings, improve clinician access to patient data, and create real-time treatment options for the greater active duty service member population. The purpose of this study was to determine if the Fitbit device can be used to identify indicators of mental health disorders by measuring the relationship between Fitbit sleep data, self-reported mood, and environmental contextual factors that may disrupt sleep. METHODS This observational cohort study was conducted at the Madigan Army Medical Center. The study included 17 healthy adults who wore a Fitbit Flex for 2 weeks and completed a daily self-reported mood and sleep log. Daily Fitbit data were obtained for each participant. Contextual factors were collected with interim and postintervention surveys. This study had 3 specific aims: (1) Determine the correlation between daily Fitbit sleep data and daily self-reported sleep, (2) Determine the correlation between number of waking events and self-reported mood, and (3) Explore the qualitative relationships between Fitbit waking events and self-reported contextual factors for sleep. RESULTS There was no significant difference in the scores for the pre-intevention Pittsburg Sleep Quality Index (PSQI; mean 5.88 points, SD 3.71 points) and postintervention PSQI (mean 5.33 points, SD 2.83 points). The Wilcoxon signed-ranks test showed that the difference between the pre-intervention PSQI and postintervention PSQI survey data was not statistically significant (Z=0.751, <i>P</i>=.05). The Spearman correlation between Fitbit sleep time and self-reported sleep time was moderate (r=0.643, <i>P</i>=.005). The Spearman correlation between number of waking events and self-reported mood was weak (r=0.354, <i>P</i>=.163). Top contextual factors disrupting sleep were “pain,” “noises,” and “worries.” A subanalysis of participants reporting “worries” found evidence of potential stress resilience and outliers in waking events. CONCLUSIONS Findings contribute valuable evidence on the strength of the Fitbit Flex device as a proxy that is consistent with self-reported sleep data. Mood data alone do not predict number of waking events. Mood and Fitbit data combined with further screening tools may be able to identify markers of underlying mental health disease.

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