A common mental health disorder. This topic choice ground of Pakistan and try clear the women and my country with others

2016 ◽  
Vol 33 (S1) ◽  
pp. S291-S291
Author(s):  
M.N. Akhtar
Keyword(s):  
Mental Health ◽  
Mood Disorder ◽  
Signs And Symptoms ◽  
Mental Health Disorder ◽  
Symptoms Of Depression ◽  
Depressed Person ◽  
Competing Interest ◽  
Common Mental Health Disorder ◽  
Topic Choice

Depression: is a mood disorder that causes a persistent feeling of sadness and loss of interest.Signs and symptoms of depression include:– depression and women: rates of depression in women are twice as high as they are in men;– depression in Pakistan: globally depression affects 20% of people while in Pakistan;– helping a depressed person: if you know someone who is depressed, it affects you too;– to help your friend or relative.Disclosure of interestThe author has not supplied his declaration of competing interest.

scholarly journals Mental health and burden in mothers of children with congenital Zika syndrome during COVID-19 pandemic

2021 ◽  
Vol 21 (suppl 2) ◽  
pp. 481-490
Author(s):  
Gabriela Lopes Gama ◽  
Bruna Milena da Silva ◽  
Mariana Balbino da Silva ◽  
Rayssa Vieira Brandão Ferreira ◽  
Jousilene de Sales Tavares ◽  
...  
Keyword(s):  
Mental Health ◽  
Signs And Symptoms ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Symptoms Of Depression ◽  
Maternal Schooling ◽  
The Social ◽  
Burden Scale ◽  
Congenital Zika Syndrome ◽  
Health Impairments

Abstract Objectives: to evaluate burden, frequency of anxiety and signs and symptoms of depression in mothers of children with congenital Zika syndrome (CZS) during the COVID-19 pandemic and the social isolation period. Methods: this is a cross-sectional study conducted with mothers who care for their children with CZS. The data were collected by an online form with questions regarding mother's socioeconomic conditions and questions related with Zarit burden scale and Beck's inventories on depression and anxiety. Spearman’s correlation tests and multiple regression analyzes were performed to assess factors related to mothers' burden and mental health. Results: 41 mothers were evaluated, 51.2% had mild burden, 39% had minimal anxiety and 73.2% did not have signs and symptoms of depression. Negative correlations were observed between levels of burden and maternal schooling (p=0.01), presence of signs and symptoms of anxiety and receiving financial aid (p<0.04) as well as the presence of signs and symptoms of anxiety and having children with seizures history (p=0.03). Conclusion: despite the risk of their children again being victims of an epidemic virus, mothers who care for their children with CZS did not present serious mental health impairments.

scholarly journals A case management occupational health model to facilitate earlier return to work of NHS staff with common mental health disorders: a feasibility study

2021 ◽  
Vol 25 (12) ◽  
pp. 1-94
Author(s):  
Vaughan Parsons ◽  
Dorota Juszczyk ◽  
Gill Gilworth ◽  
Georgia Ntani ◽  
Paul McCrone ◽  
...  
Keyword(s):  
Mental Health ◽  
Occupational Health ◽  
Case Management ◽  
Sick Leave ◽  
Return To Work ◽  
Mental Health Disorder ◽  
Main Trial ◽  
Management Intervention ◽  
Case Management Intervention ◽  
Common Mental Health Disorder

Background The NHS is the biggest employer in the UK. Depression and anxiety are common reasons for sickness absence among staff. Evidence suggests that an intervention based on a case management model using a biopsychosocial approach could be cost-effective and lead to earlier return to work for staff with common mental health disorders. Objective The objective was to assess the feasibility and acceptability of conducting a trial of the clinical effectiveness and cost-effectiveness of an early occupational health referral and case management intervention to facilitate the return to work of NHS staff on sick leave with any common mental health disorder (e.g. depression or anxiety). Design A multicentre mixed-methods feasibility study with embedded process evaluation and economic analyses. The study comprised an updated systematic review, survey of care as usual, and development of an intervention in consultation with key stakeholders. Although this was not a randomised controlled trial, the study design comprised two arms where participants received either the intervention or care as usual. Participants Participants were NHS staff on sick leave for 7 or more consecutive days but less than 90 consecutive days, with a common mental health disorder. Intervention The intervention involved early referral to occupational health combined with standardised work-focused case management. Control/comparator Participants in the control arm received care as usual. Primary outcome The primary outcome was the feasibility and acceptability of the intervention, study processes (including methods of recruiting participants) and data collection tools to measure return to work, episodes of sickness absence, workability (a worker’s functional ability to perform their job), occupational functioning, symptomatology and cost-effectiveness proposed for use in a main trial. Results Forty articles and two guidelines were included in an updated systematic review. A total of 49 of the 126 (39%) occupational health providers who were approached participated in a national survey of care as usual. Selected multidisciplinary stakeholders contributed to the development of the work-focused case management intervention (including a training workshop). Six NHS trusts (occupational health departments) agreed to take part in the study, although one trust withdrew prior to participant recruitment, citing staff shortages. At mixed intervention sites, participants were sequentially allocated to each arm, where possible. Approximately 1938 (3.9%) NHS staff from the participating sites were on sick leave with a common mental health disorder during the study period. Forty-two sick-listed NHS staff were screened for eligibility on receipt of occupational health management referrals. Twenty-four (57%) participants were consented: 11 (46%) received the case management intervention and 13 (54%) received care as usual. Follow-up data were collected from 11 out of 24 (46%) participants at 3 months and 10 out of 24 (42%) participants at 6 months. The case management intervention and case manager training were found to be acceptable and inexpensive to deliver. Possible contamination issues are likely in a future trial if participants are individually randomised at mixed intervention sites. Harms No adverse events were reported. Limitations The method of identification and recruitment of eligible sick-listed staff was ineffective in practice because uptake of referral to occupational health was low, but a new targeted method has been devised. Conclusion All study questions were addressed. Difficulties raising organisational awareness of the study coupled with a lack of change in occupational health referral practices by line managers affected the identification and recruitment of participants. Strategies to overcome these barriers in a main trial were identified. The case management intervention was fit for purpose and acceptable to deliver in the NHS. Trial registration Current Controlled Trials ISRCTN14621901. Funding This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 25, No. 12. See the NIHR Journals Library website for further project information.

scholarly journals Prevalence and severity of depression among people residing in flood affected areas of Kerala

2019 ◽  
Vol 6 (3) ◽  
pp. 1143
Author(s):  
Jose Jom Thomas ◽  
B. Prakash ◽  
Praveen Kulkarni ◽  
M. R. Narayana Murthy
Keyword(s):  
Mental Health ◽  
Statistical Tests ◽  
Severe Depression ◽  
Signs And Symptoms ◽  
Cross Sectional Study ◽  
Chi Square ◽  
Cross Sectional ◽  
Symptoms Of Depression ◽  
Prevalence Of Depression ◽  
Severity Of Depression

Background: The world is witnessing significant change in its climate leading to an increase in natural disasters. Kerala state of India recently witnessed its worst Monsoon rainfall in the century. Floods have significant effects on mental health. Screening of psychological problems is necessary in the background of recent floods in Kerala. So this study was done with the objectives to assess the prevalence of depression in the flood affected people of Kerala and to assess the severity of depression among people residing in flood affected areas of Kerala.Methods: Cross sectional study was done four weeks after flood. Individuals aged ≥15 years residing in flood affected areas were included and people not willing to participate were excluded. Purposive sampling was done and 306 participants were studied. Participants were assessed by interview technique using PHQ9 questionnaire. Data was analysed using SPSS-22. Descriptive statistics like percentage were applied. Inferential statistical tests like chi-square test were applied for association.Results: Among the participants 48% showed symptoms of depression. 28.10 % were mildly depressed, 12.74% were moderately depressed, 5.56% had moderately severe and 1.63% had severe depression. Maximum prevalence of depression was observed in geriatric age group.Conclusions: A significant amount of people residing in flood affected areas showed signs and symptoms of depression. An urgent intervention is therefore required to improve mental health status of the flood affected individuals. 

Assessing Comorbidities and service use among patients with benzodiazepine abuse

2016 ◽  
Vol 33 (S1) ◽  
pp. S294-S294 ◽  
Author(s):  
B. Cook ◽  
L. Chavez ◽  
R. Carmona ◽  
M. Alegria
Keyword(s):  
Mental Health ◽  
Mental Illness ◽  
Substance Use ◽  
Substance Use Disorder ◽  
Regression Models ◽  
Service Use ◽  
Safety Net ◽  
Mental Health Disorder ◽  
Electronic Health Record Data ◽  
Competing Interest

Prior studies have identified that individuals with comorbid substance use disorder and mental health disorder are at a greater risk of benzodiazepine abuse compared to individuals that present with mental health disorder without an accompanying substance use disorder. These studies were conducted in predominantly white populations, and little is known if the same associations are seen in safety net health care networks. Also, the literature is mixed as to whether or not psychiatrists’ prescription of benzodiazepines places individuals at undue risk of benzodiazepine abuse.We use 2013–2015 electronic health record data from a Boston healthcare system. Patients with benzodiazapene abuse were identified if they had received treatment under the ICD-9 code 304.1. Benzodiazepine abuse was compared between patients with only mental illness and patients with existing comorbid substance and mental health disorder, in unadjusted comparisons and adjusted regression models. Covariates in regression models were used to identify subgroups at higher risk of benzodiazepine abuse.Individuals with benzodiazepine abuse had higher rates of emergency room and inpatient use than patients with other mental health and/or substance use disorders. Those with comorbid substance and mental disorder were significantly more likely than individuals with mental or substance use disorder alone to abuse benzodiazepines (P < .01). Among those with benzodiazepine abuse, 93.3% were diagnosed with a mental illness, 75.6% were diagnosed with a substance use disorder (other than benzodiazepine), and 64.4% had comorbid anxiety disorder and substance use disorder. These analyses suggest that patients with benzodiazepine abuse have complex presentations and intensive service use.Disclosure of interestThe authors have not supplied their declaration of competing interest.

scholarly journals Eat to Beat Stress

2020 ◽  
Vol 15 (1) ◽  
pp. 39-42
Author(s):  
Uma Naidoo
Keyword(s):  
Mental Health ◽  
Dietary Habits ◽  
Well Being ◽  
The United States ◽  
Mental Health Disorder ◽  
Modern World ◽  
Dietary Choices ◽  
Percent Increase ◽  
Mental Well Being ◽  
Common Mental Health Disorder

There is a tendency to accept anxiety as an inevitable part of living in a stressful modern world. However, simple dietary changes can help attenuate the stress response. While there are several approaches to treating anxiety, research by Peter Roy-Byrne in 2015 has shown that only 50% to 60% of people respond to medication and psychotherapy, and only a quarter of patients have complete resolution of their symptoms. According to statistics from the National Institute of Mental health, prior to the COVID-19 pandemic, anxiety disorders were the most common mental health disorder in the United States, about 3 times more common than depression (18.1% vs 6.7%). A recent Express Scripts survey showed the percent increase in the number of new prescriptions for antianxiety medications by the middle March 2020 for antianxiety medications was 37.7%, underscoring the likely rise in anxiety associated with the pandemic. While traditional medications and therapies are well needed, to beat stress during times of a pandemic, it is important to think more broadly about how we can best affect our mental well-being. One of those ways is through our nutrition and dietary habits, and research by Opie et al in 2015 demonstrates that our dietary choices are more crucial than ever. This column reviews foods and substances that are important to consider in managing anxiety.

scholarly journals Effect of Mindfulness-Based Cognitive Therapy on Symptoms of Depression: A Systematic Review

2020 ◽  
Vol 9 (2) ◽  
pp. 761-771
Author(s):  
Fakhrun Nisa' Fiddaroini ◽  
Ah. Yusuf ◽  
Praba Diyan Rachmawati
Keyword(s):  
Mental Health ◽  
Systematic Review ◽  
Depressive Symptoms ◽  
Cognitive Therapy ◽  
Mental Health Problems ◽  
Positive Impact ◽  
Psychological Intervention ◽  
Mental Health Disorder ◽  
Symptoms Of Depression ◽  
Meta Analyses

Depression is a common mental health disorder. The main symptoms of depression are a lack of interest in the activities of daily life and suicidal thoughts. Mindfulness-based cognitive therapy (MBCT) is effective in preventing or reducing symptoms of depression. This study aimed to determine the effectiveness of mindfulness-based cognitive therapy in reducing symptoms of depression. This systematic review was based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Five databases included in this study This systematic review uses 10 articles that fit the inclusion criteria outcome. The result showed mindfulness-based cognitive therapy intervention from the research was reviewed significantly and has been shown to be an effective psychological intervention for reducing depressive symptoms in various populations. Mindfulness-based cognitive therapy has better results for reducing depressive symptoms and has a positive impact on reducing mental health problems and can be used by nurses and other mental health practitioners.

Mental Disorder Detection via Social Media Mining using Deep Learning

2020 ◽  
pp. 309-316
Author(s):  
Binti Kholifah ◽  
Iwan Syarif ◽  
Tessy Badriyah
Keyword(s):  
Mental Health ◽  
Deep Learning ◽  
Mental Disorders ◽  
Mental Disorder ◽  
Natural Languages ◽  
Basic Emotions ◽  
Social Media Mining ◽  
Symptoms Of Depression ◽  
Depressed Person ◽  
Media Mining

Due to the imperceptible nature of mental disorders, diagnosing a patient with a mental disorder is a challenging task. Therefore, detection in people with mental disorders can be done by looking at the symptoms they experience. One symptom in patients with mental disorders is solitude. Patients with mental disorders feel indifferent to their environment and mainly focus on their own thoughts and emotions. Therefore, the patient looks for a place that can accommodate his feelings. Twitter is one of the most widely used media in measuring one's personality through everyday statements. The symptoms as suggested by psychologists can be explored more broadly using Natural Languages Processing. The process involves taking a lexicon containing keywords that could indicate symptoms of depression. This study uses five criteria as a measure of mental health in a statement: sentiment, basic emotions, the use of personal pronouns, absolutist words, and negative words. The results show that the use of sentiments, emotions, and negative words in a statement is very influential in determining the level of depression. A depressed person more often uses negative words that indicate his self-despair, prolonged sadness, even suicidal thoughts (e.g. "sadly”, “scared”, “die”, “suicide”). In the classification process, LSTM Deep Learning generates an accuracy of 70.89%; precision of 50.24%; recall 70.89%.

scholarly journals Behavioural Symptoms of Mental Health Disorder such as Depression among Young People using Instagram: A Systematic Review

2021 ◽  
Author(s):  
Gbadebo Collins Adeyanju ◽  
Ron Patrick Solfa ◽  
Thuy Linh Tran ◽  
Sophia Wohlfarth ◽  
Jonas Büttner ◽  
...  
Keyword(s):  
Mental Health ◽  
Strong Relationship ◽  
Self Esteem ◽  
Mental Health Disorder ◽  
Risk Of Bias ◽  
Journal Articles ◽  
Symptoms Of Depression ◽  
Health Disorders ◽  
The Relationship

Abstract There is a growing debate on the linkage between social networking platforms and mental health disorder, such as depressive behaviour or depression. However, the relationship between Instagram use and depression or depressive behaviour has not been exhaustively examined. This review aims to examine these two variables. Only peer-reviewed journal articles that are published between October 2010 and December 2018 were sought in central and journal databases. Studies were selected based on predefined criteria and assessed for risk of bias and quality of evidence using GRADE. 1,856 studies were the outcome of the search, out of which 9 meets all eligible criteria. Of the 9 studies, three-quarter was published between 2017 and 2018, covering five continents: (North America: 3; Asia: 2; Australia: 2; South America: 1, Europe: 1). The final included studies broadly examined young Instagram users between the age of 19 and 35. The synthesis affirmed a linkage between Instagram and symptoms of depression or depressive behaviour. Variables that moderate this relationship are social comparison, self-esteem built on validation and approval of others, social media dependence, gender, negative or insufficient feedback, poor self-rated attractiveness, Instagram broadcasting and loneliness, younger users and risk of anxiety, and the number of strangers that users follow. There is a strong relationship between Instagram use and mental health disorders such as depression or depressive behaviour; however, no in-depth direct causality is proven yet. Further studies are needed to unravel the direct causality puzzles.

scholarly journals Latent Trajectories of Common Mental Health Disorder Risk Across 3 Decades of Adulthood in a Population-Based Cohort

2016 ◽  
Vol 73 (10) ◽  
pp. 1023 ◽  
Author(s):  
Diana Paksarian ◽  
Lihong Cui ◽  
Jules Angst ◽  
Vladeta Ajdacic-Gross ◽  
Wulf Rössler ◽  
...  
Keyword(s):  
Mental Health ◽  
Population Based ◽  
Mental Health Disorder ◽  
Common Mental Health Disorder ◽  
Disorder Risk ◽  
Latent Trajectories

scholarly journals Behavioural symptoms of mental health disorder such as depression among young people using Instagram: a systematic review

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Gbadebo Collins Adeyanju ◽  
Ron Patrick Solfa ◽  
Thuy Linh Tran ◽  
Sophia Wohlfarth ◽  
Jonas Büttner ◽  
...  
Keyword(s):  
Mental Health ◽  
Strong Relationship ◽  
Self Esteem ◽  
Mental Health Disorder ◽  
Risk Of Bias ◽  
Journal Articles ◽  
Symptoms Of Depression ◽  
Grade One ◽  
The Relationship

AbstractThere is a growing debate on the linkage between social networking platforms and mental health disorder, such as depressive behaviour or depression. However, the relationship between Instagram use and depression or depressive behaviour has not been exhaustively examined. This review aims to examine these two variables. Only peer-reviewed journal articles that are published between October 2010 and December 2018 were sought in central and journal databases. Studies were selected based on predefined criteria and assessed for risk of bias and quality of evidence using GRADE. One thousand eight hundred fifty-six studies were the outcome of the search, out of which 9 meets all eligible criteria. Of the 9 studies, three-quarter was published between 2017 and 2018, covering five continents: (North America: 3; Asia: 2; Australia: 2; South America: 1, Europe: 1). The final included studies broadly examined young Instagram users between the age of 19 and 35. The synthesis affirmed a linkage between Instagram and symptoms of depression or depressive behaviour. Variables that moderate this relationship are social comparison, self-esteem built on validation and approval of others, social media dependence, gender, negative or insufficient feedback, poor self-rated attractiveness, Instagram broadcasting and loneliness, younger users and risk of anxiety, and the number of strangers that users follow. There is a strong relationship between Instagram use and mental health disorders such as depression or depressive behaviour; however, no in-depth direct causality is proven yet. Further studies are needed to unravel the direct causality puzzles.

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