scholarly journals The Mental Health Checkup by the On-line Mental Health Questionnaire and All the Members Direct Interview

2003 ◽  
Vol 30 (5) ◽  
pp. 516-518
Author(s):  
Takeshi KITAO
Keyword(s):  
Mental Health ◽  
Health Questionnaire ◽  
Health Checkup ◽  
On Line ◽  
Mental Health Questionnaire

scholarly journals A machine learning algorithm to differentiate bipolar disorder from major depressive disorder using an online mental health questionnaire and blood biomarker data

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jakub Tomasik ◽  
Sung Yeon Sarah Han ◽  
Giles Barton-Owen ◽  
Dan-Mircea Mirea ◽  
Nayra A. Martin-Key ◽  
...  
Keyword(s):  
Mental Health ◽  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Diagnostic Algorithm ◽  
Health Questionnaire ◽  
Major Depressive ◽  
Blood Biomarker ◽  
Mental Health Questionnaire ◽  
Biomarker Data

AbstractThe vast personal and economic burden of mood disorders is largely caused by their under- and misdiagnosis, which is associated with ineffective treatment and worsening of outcomes. Here, we aimed to develop a diagnostic algorithm, based on an online questionnaire and blood biomarker data, to reduce the misdiagnosis of bipolar disorder (BD) as major depressive disorder (MDD). Individuals with depressive symptoms (Patient Health Questionnaire-9 score ≥5) aged 18–45 years were recruited online. After completing a purpose-built online mental health questionnaire, eligible participants provided dried blood spot samples for biomarker analysis and underwent the World Health Organization World Mental Health Composite International Diagnostic Interview via telephone, to establish their mental health diagnosis. Extreme Gradient Boosting and nested cross-validation were used to train and validate diagnostic models differentiating BD from MDD in participants who self-reported a current MDD diagnosis. Mean test area under the receiver operating characteristic curve (AUROC) for separating participants with BD diagnosed as MDD (N = 126) from those with correct MDD diagnosis (N = 187) was 0.92 (95% CI: 0.86–0.97). Core predictors included elevated mood, grandiosity, talkativeness, recklessness and risky behaviour. Additional validation in participants with no previous mood disorder diagnosis showed AUROCs of 0.89 (0.86–0.91) and 0.90 (0.87–0.91) for separating newly diagnosed BD (N = 98) from MDD (N = 112) and subclinical low mood (N = 120), respectively. Validation in participants with a previous diagnosis of BD (N = 45) demonstrated sensitivity of 0.86 (0.57–0.96). The diagnostic algorithm accurately identified patients with BD in various clinical scenarios, and could help expedite accurate clinical diagnosis and treatment of BD.

Worries About Mental Health Questionnaire

2009 ◽  
Author(s):  
Michael Bassett ◽  
David Sperlinger ◽  
Daniel Freeman
Keyword(s):  
Mental Health ◽  
Health Questionnaire ◽  
Mental Health Questionnaire

Reliability and validity of the Positive Mental Health Questionnaire in a sample of Spanish university students

2017 ◽  
Vol 24 (2-3) ◽  
pp. 123-133 ◽  
Author(s):  
J. Roldán-Merino ◽  
M. T. Lluch-Canut ◽  
I. Casas ◽  
M. Sanromà-Ortíz ◽  
C. Ferré-Grau ◽  
...  
Keyword(s):  
Mental Health ◽  
University Students ◽  
Reliability And Validity ◽  
Positive Mental Health ◽  
Health Questionnaire ◽  
Mental Health Questionnaire

Mental Health Questionnaire

2018 ◽  
Author(s):  
Katrina A. S. Davis ◽  
Jonathan R. I. Coleman ◽  
Mark Adams ◽  
Naomi Allen ◽  
Gerome Breen ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Questionnaire ◽  
Mental Health Questionnaire

scholarly journals CROSS-CULTURAL ADAPTATION OF THE POSITIVE MENTAL HEALTH QUESTIONNAIRE FOR NURSING STUDENTS IN THE BRAZILIAN CONTEXT

2021 ◽  
Vol 30 ◽  
Author(s):  
Kayo Henrique Jardel Feitosa Sousa ◽  
Maria Teresa Lluch-Canut ◽  
Cristiane Helena Gallasch ◽  
Regina Célia Gollner Zeitoune
Keyword(s):  
Mental Health ◽  
Nursing Students ◽  
Cultural Adaptation ◽  
Positive Mental Health ◽  
Cross Cultural ◽  
Health Questionnaire ◽  
Undergraduate Nursing Students ◽  
Undergraduate Nursing ◽  
Brazilian Version ◽  
Mental Health Questionnaire

ABSTRACT Objective: to describe the cross-cultural adaptation process of the Positive Mental Health Questionnaire for undergraduate Nursing students, in the Brazilian context. Method: a psychometric study conducted in public universities in Rio de Janeiro/Brazil, between October 2019 and July 2020. The transcultural adaptation process encompassed the following stages: translation; reconciliation; back-translation; independent reviews by a committee of reviewers; pre-completion; completion; harmonization; formatting and review; cognitive test with 31 undergraduate Nursing students from two public universities; and analysis of the comments. Results: the process lasted approximately ten months, and the initial translations, carried out independently by two translators, achieved close versions; none of the translators reported difficulties in translating the meanings of the items. The Brazilian version of the instrument maintained conceptual, semantic, idiomatic, and experimental equivalences. The mean content validity ratio values for clarity, relevance, pertinence, and theoretical dimension were higher than established; the assessment by the target audience showed good understanding. Conclusion: the Positive Mental Health Questionnaire - Brazilian version showed equivalence with the original version, developed in Spain, and presented satisfactory evidence of content validity for use with undergraduate Nursing students in Brazil, being easy-to-understand by the target audience.

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