F30GENETIC STRUCTURE WITHIN THE UK BIOBANK MENTAL HEALTH QUESTIONNAIRE

Background The UK Biobank contains data with varying degrees of reliability and completeness for assessing depression. A third of participants completed a Mental Health Questionnaire (MHQ) containing the gold-standard Composite International Diagnostic Interview (CIDI) criteria for assessing mental health disorders. Aims To investigate whether multiple observations of depression from sources other than the MHQ can enhance the validity of major depressive disorder (MDD). Method In participants who did not complete the MHQ, we calculated the number of other depression measures endorsed, for example from hospital episode statistics and interview data. We compared cases defined this way with CIDI-defined cases for several estimates: the variance explained by polygenic risk scores (PRS), area under the curve attributable to PRS, single nucleotide polymorphisms (SNPs)-based heritability and genetic correlations with summary statistics from the Psychiatric Genomics Consortium MDD genome-wide association study. Results The strength of the genetic contribution increased with the number of measures endorsed. For example, SNP-based heritability increased from 7% in participants who endorsed only one measure of depression, to 21% in those who endorsed four or five measures of depression. The strength of the genetic contribution to cases defined by at least two measures approximated that for CIDI-defined cases. Most genetic correlations between UK Biobank and the Psychiatric Genomics Consortium MDD study exceeded 0.7, but there was variability between pairwise comparisons. Conclusions Multiple measures of depression can serve as a reliable approximation for case status where the CIDI measure is not available, indicating sample size can be optimised using the entire suite of UK Biobank data.

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Characteristics, comorbidities, and correlates of atypical depression: evidence from the UK Biobank Mental Health Survey

Psychological Medicine ◽

10.1017/s0033291719001004 ◽

2019 ◽

Vol 50 (7) ◽

pp. 1129-1138 ◽

Cited By ~ 10

Author(s):

Anamaria Brailean ◽

Jessica Curtis ◽

Katrina Davis ◽

Alexandru Dregan ◽

Matthew Hotopf

Keyword(s):

Mental Health ◽

Help Seeking ◽

Service Use ◽

Short Form ◽

Composite International Diagnostic Interview ◽

Sensitivity Analyses ◽

Uk Biobank ◽

Atypical Depression ◽

The Uk ◽

Mental Health Questionnaire

AbstractBackgroundDepression is a heterogeneous disorder with multiple aetiological pathways and multiple therapeutic targets. This study aims to determine whether atypical depression (AD) characterized by reversed neurovegetative symptoms is associated with a more pernicious course and a different sociodemographic, lifestyle, and comorbidity profile than nonatypical depression (nonAD).MethodsAmong 157 366 adults who completed the UK Biobank Mental Health Questionnaire (MHQ), N = 37 434 (24%) met the DSM-5 criteria for probable lifetime major depressive disorder (MDD) based on the Composite International Diagnostic Interview Short Form. Participants reporting both hypersomnia and weight gain were classified as AD cases (N = 2305), and the others as nonAD cases (N = 35 129). Logistic regression analyses were conducted to examine differences between AD and nonAD in depression features, sociodemographic and lifestyle factors, lifetime adversities, psychiatric and physical comorbidities.ResultsPersons with AD experienced an earlier age of depression onset, longer, more severe and recurrent episodes, and higher help-seeking rates than nonAD persons. AD was associated with female gender, unhealthy behaviours (smoking, social isolation, low physical activity), more lifetime deprivation and adversity, higher rates of comorbid psychiatric disorders, obesity, cardiovascular disease (CVD), and metabolic syndrome. Sensitivity analyses comparing AD persons with those having typical neurovegetative symptoms (hyposomnia and weight loss) revealed similar results.ConclusionsThese findings highlight the clinical and public health significance of AD as a chronic form of depression, associated with high comorbidity and lifetime adversity. Our findings have implications for predicting depression course and comorbidities, guiding research on aetiological mechanisms, planning service use and informing therapeutic approaches.

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Multiple measures of depression to enhance validity of Major Depressive Disorder in the UK Biobank

10.1101/2020.09.18.20196451 ◽

2020 ◽

Cited By ~ 1

Author(s):

Kylie P Glanville ◽

Jonathan R I Coleman ◽

David M Howard ◽

Oliver Pain ◽

Ken B Hanscombe ◽

...

Keyword(s):

Mental Health ◽

Major Depressive Disorder ◽

Depressive Disorder ◽

Genetic Correlations ◽

Genetic Contribution ◽

Uk Biobank ◽

Major Depressive ◽

Multiple Measures ◽

The Uk ◽

Mental Health Questionnaire

AbstractBackgroundThe UK Biobank (UKB) contains data with varying degrees of reliability and completeness for assessing depression. A third of participants completed a Mental Health Questionnaire (MHQ) containing the gold-standard Composite International Diagnostic Interview (CIDI) criteria for assessing mental health disorders.AimsTo investigate whether multiple observations of depression from sources other than the MHQ can enhance the validity of Major Depressive Disorder.MethodsIn participants who did not complete the MHQ (n = 325k), we calculated the number of other depression measures endorsed, e.g. from hospital episode statistics and interview data. We compared cases defined this way to CIDI-defined cases for several estimates: the variance explained by polygenic risk scores (PRS), area under the curve attributable to PRS, SNP-based heritability, and genetic correlations with summary statistics from the Psychiatric Genomics Consortium Major Depressive Disorder (PGC MDD) GWAS.ResultsThe strength of the genetic contribution increased with the number of measures endorsed. For example, SNP-based heritability increased from 7% in cases who endorsed only one measure of depression, to 21% in cases who endorsed four or five measures of depression. The strength of the genetic contribution to cases defined by at least two measures approximated that for CIDI-defined cases. Most genetic correlations between UKB and PGC MDD exceeded 0.7, but there was variability between pairwise comparisons.ConclusionsMultiple measures of depression can serve as a reliable approximation for case-status where the CIDI measure is not available, indicating sample size can be optimised using the entire suite of UKB data.

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University Student Mental Health Questionnaire

PsycTESTS Dataset ◽

10.1037/t77811-000 ◽

2019 ◽

Author(s):

Wayne Usher ◽

Clint Curran

Keyword(s):

Mental Health ◽

University Student ◽

Health Questionnaire ◽

Student Mental Health ◽

Mental Health Questionnaire

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

Translational Psychiatry ◽

10.1038/s41398-020-01181-x ◽

2021 ◽

Vol 11 (1) ◽

Cited By ~ 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.

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Mental Health Provision in UK Secondary Schools

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph182212222 ◽

2021 ◽

Vol 18 (22) ◽

pp. 12222

Author(s):

Megan Garside ◽

Barry Wright ◽

Roshanak Nekooi ◽

Victoria Allgar

Keyword(s):

Mental Health ◽

Young People ◽

Secondary Schools ◽

Mental Health Problems ◽

Health Problems ◽

Future Research ◽

Health Service Provision ◽

The North ◽

The Uk ◽

Mental Health Questionnaire

Research reports high levels of mental health problems faced by young people in the UK. Schools provide a range of mental health support services, although these are often not robustly evaluated. This paper aims to explore the mental health provision of secondary schools across two large regions in the North of England and provide comparisons to the mental health questionnaire scores of their pupils. Results are part of a wider study providing an overview of the mental health of secondary school pupils. Measures include the Strengths and Difficulties Questionnaire, distributed to year 8, 9, and 11 pupils attending secondary schools and a bespoke mental health service provision questionnaire for school staff at the same schools. A total of 6328 pupil questionnaires and 36 staff questionnaires were returned from 21 schools. Results showed a non-significant correlation between provision and young people’s mental health scores and highlight a range of factors to take into consideration. There is a need to improve the evaluation and recording of school-based mental health provision. Mental health difficulties in young people are prevalent in schools. Future research is needed to elucidate which types of services are most helpful in preventing, supporting, and signposting those with mental health problems.

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