scholarly journals The COVID-19 Pandemic Mental Health Questionnaire (CoPaQ): psychometric evaluation and compliance with countermeasures in psychiatric inpatients and non-clinical individuals

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Stephanie V. Rek ◽  
Markus Bühner ◽  
Matthias A. Reinhard ◽  
Daniel Freeman ◽  
Daniel Keeser ◽  
...  
Keyword(s):  
Mental Health ◽  
Factor Structure ◽  
Internal Consistency ◽  
Applied Research ◽  
Psychometric Evaluation ◽  
Political Trust ◽  
Well Being ◽  
Criterion Validity ◽  
Health Questionnaire ◽  
Mental Health Questionnaire

Abstract Background The COVID-19 pandemic has greatly impacted people’s lives across a broad spectrum of psychosocial domains. We report the development and psychometric evaluation of the self-report COVID-19 Pandemic Mental Health Questionnaire (CoPaQ), which assesses COVID-19 contamination anxiety, countermeasure necessity and compliance, mental health impact, stressor impact, social media usage, interpersonal conflicts, paranoid ideations, institutional & political trust, conspiracy beliefs, and social cohesion. Further, we illustrate the questionnaire’s utility in an applied example investigating if higher SARS-Cov-2 infection rates in psychiatric patients could be explained by reduced compliance with preventive countermeasures. Methods A group of 511 non-clinical individuals completed an initial pool of 111 CoPaQ items (Open Science Framework: https://osf.io/3evn9/) and additional scales measuring psychological distress, well-being, and paranoia to assess construct validity and lifetime mental health diagnosis for criterion validity. Factor structure was determined by exploratory factor analyses and validated by conducting confirmatory factor analysis in the accompanying longitudinal sample (n = 318) and an independent psychiatric inpatient sample primarily admitted for major depressive-, substance abuse-, personality-, and anxiety disorders (n = 113). Internal consistency was assessed by Cronbach’s Alpha and McDonald’s Omega. For the applied research example, Welch t-tests and correlational analyses were conducted. Results Twelve out of 16 extracted subscales were retained in the final questionnaire version, which provided preliminary evidence for adequate psychometric properties in terms of factor structure, internal consistency, and construct and criterion validity. Our applied research example showed that patients exhibited greater support for COVID-19 countermeasures than non-clinical individuals. However, this requires replication in future studies. Conclusions We demonstrate that the CoPaQ is a comprehensive and valid measure of the psychosocial impact of the pandemic and could allow to a degree to disentangle the complex psychosocial phenomena of the pandemic as exemplified by our applied analyses.

scholarly journals The COVID-19 Pandemic Mental Health Questionnaire (CoPaQ): Psychometric Evaluation and Compliance with Countermeasures in Psychiatric Inpatients and Non-clinical Individuals

2021 ◽  
Author(s):  
Stephanie V. Rek ◽  
Markus Bühner ◽  
Matthias A. Reinhard ◽  
Daniel Freeman ◽  
Daniel Keeser ◽  
...  
Keyword(s):  
Mental Health ◽  
Factor Structure ◽  
Internal Consistency ◽  
Applied Research ◽  
Psychometric Evaluation ◽  
Political Trust ◽  
Well Being ◽  
Criterion Validity ◽  
Health Questionnaire ◽  
Mental Health Questionnaire

Abstract Background The COVID-19 pandemic has greatly impacted people’s lives across a broad spectrum of psychosocial domains. We report the development and psychometric evaluation of the self-report COVID-19 Pandemic Mental Health Questionnaire (CoPaQ), which assesses COVID-19 contamination anxiety, countermeasure necessity and compliance, mental health impact, stressor impact, social media usage, interpersonal conflicts, paranoid ideations, institutional & political trust, conspiracy beliefs, and social cohesion. Further, we illustrate the questionnaire’s utility in an applied example investigating if higher SARS-Cov-2 infection rates in psychiatric patients could be explained by reduced compliance with preventive countermeasures. Methods A group of 511 non-clinical individuals completed an initial pool of 111 CoPaQ items (Open Science Framework: https://osf.io/3evn9/) and additional scales measuring psychological distress, well-being, and paranoia to assess construct validity and lifetime mental health diagnosis for criterion validity. Factor structure was determined by exploratory factor analyses and validated by conducting confirmatory factor analysis in the accompanying longitudinal sample (n=318) and an independent psychiatric inpatient sample primarily admitted for major depressive-, substance abuse-, personality-, and anxiety disorders (n=113). Internal consistency was assessed by Cronbach’s Alpha and McDonald's Omega. For the applied research example, Welch t-tests and correlational analyses were conducted. Results Twelve out of 16 extracted subscales were retained in the final questionnaire version, which provided preliminary evidence for adequate psychometric properties in terms of factor structure, internal consistency, and construct and criterion validity. Our applied research example showed that patients exhibited greater support for COVID-19 countermeasures than non-clinical individuals. However, this requires replication in future studies. Conclusions We demonstrate that the CoPaQ is a comprehensive and valid measure of the psychosocial impact of the pandemic and could allow to a degree to disentangle the complex psychosocial phenomena of the pandemic as exemplified by our applied analyses.

scholarly journals Psychometric Properties of The Mental Health Continuum-Short Form (MHC- SF) In Iranian Adolescents

2022 ◽  
Author(s):  
Majid Yousefi Afrashteh
Keyword(s):  
Mental Health ◽  
Construct Validity ◽  
Psychometric Properties ◽  
Measurement Invariance ◽  
Factor Structure ◽  
Internal Consistency ◽  
Short Form ◽  
Well Being ◽  
Psychological Research ◽  
Convenience Sample

Abstract Background: Psychological tests are necessary to assess and assess the mental state of individuals. Mental health is one of the important psychological indicators and is increasingly considered as having various aspects of well-being. The Mental Health Continuum-Short Form (MHC-SF) is a 14-item instrument that assesses mental health, focusing on emotional, psychological, and social well-being. The present study examined the psychometric properties of the Persian version of the MHC-SF among adolescents, focusing on its factor structure, internal consistency, construct validity, and gender measurement invariance.Methods: The population of this study was Iranian adolescents between 11 and 18 years old who were enrolled in the seventh to twelfth grades. A convenience sample of 822 Adolescents from four large cities in the Iran (Tehran, Zanjan, Hamedan and Ghazvin) participated in the present study. Questionnaires were completed online. Statistical analyses to evaluate the factor structure, internal consistency, construct validity, gender and age factorial invariance were performed in SPSS and LISREL.Results: The results of confirmatory factor analysis supported the 3-factor structure of MHC-SF (emotional, psychological, and social well-being). Reliability was confirmed by Cronbach's alpha method and composite reliability (>.7). Measurement invariance were confirmed among girls and boys. Convergent and divergent validity were also evaluated and confirmed by correlating the test score with similar and different tests.Conclusion: This study examined and confirmed the psychometric properties of GHQ in the Iranian adolescent community. This instrument can be used in psychological research and diagnostic evaluations.

Levels of Positive Mental Health in Portuguese and Spanish Nursing Students

2019 ◽  
Vol 26 (5) ◽  
pp. 483-492
Author(s):  
Carlos Sequeira ◽  
José Carlos Carvalho ◽  
Amadeu Gonçalves ◽  
Maria José Nogueira ◽  
Teresa Lluch-Canut ◽  
...  
Keyword(s):  
Mental Health ◽  
Nursing Students ◽  
Health Problem ◽  
Well Being ◽  
Positive Mental Health ◽  
Health Questionnaire ◽  
Convenience Sample ◽  
Positive Functioning ◽  
Two Samples ◽  
Mental Health Questionnaire

BACKGROUND: Positive mental health (PMH) is described as the sense of feeling good and functioning well. PMH is vital for the individual’s positive functioning and psychological well-being, particularly regarding the factors important for living a purposeful life and accomplishing personal goals. Nursing students are exposed to a variety of stressors that are very likely to decrease well-being and trigger stress, anxiety, and depression. Data focusing on PMH in nursing students are lacking, and this subject has been frequently neglected in nursing practice and research on positive functioning. AIMS: To assess positive mental health levels in two samples of nursing students. METHODS: A quantitative cross-sectional study. A convenience sample of 2,238 nursing students with an average age of 21 years (17-36 years old) were recruited from two nursing schools—Porto (Portugal) and Barcelona (Spain). The Positive Mental Health Questionnaire and sociodemographic items were used to measure the PMH. RESULTS: The majority of participants were female (88.6%), and 7.7% had physical health problem and 2.6% referred to a mental health problem. The mean PMH score was 83.4, indicating a good PMH level. A total of 58.4% reported a moderate PMH, and only 0.5% indicated low PMH level. Results were not significantly different between genders ( p > .05). CONCLUSIONS: The findings of this study make important contributions to our understanding of PMH levels in a large sample of nursing students and the efficacy of Positive Mental Health Questionnaire, which is an accurate tool to measure PMH. Our findings also prompt discussion about PMH and its implications for practice and teaching.

scholarly journals Evaluating the psychometric properties of the mental health continuum-short form (MHC-SF) in Dutch adolescents

2019 ◽  
Vol 17 (1) ◽  
Author(s):  
Chantie C. Luijten ◽  
Sofie Kuppens ◽  
Daphne van de Bongardt ◽  
Anna P. Nieboer
Keyword(s):  
Mental Health ◽  
Construct Validity ◽  
Psychometric Properties ◽  
Factor Structure ◽  
Internal Consistency ◽  
Short Form ◽  
Well Being ◽  
Factorial Invariance ◽  
Gender And Age ◽  
And Gender

Abstract Background Mental health is increasingly viewed as the presence of various aspects of well-being rather than just the absence of mental illness. The Mental Health Continuum-Short Form (MHC-SF) is a 14-item instrument that assesses mental health, focusing on emotional, psychological, and social well-being. The present study examined for the first time the psychometric properties of the Dutch version of the MHC-SF among adolescents, focusing on its factor structure, internal consistency, construct validity, and gender and age factorial invariance. Methods Data were collected from a school-based sample of 1175 adolescents (53.4% girls) aged 11–17 years (M = 13.7; SD = 1.1). Participants completed an online questionnaire in the classroom during regular school hours. Statistical analyses to evaluate the factor structure, internal consistency, construct validity, and gender and age factorial invariance were performed in SPSS and R. Results Using confirmatory factor analyses, a satisfactory-to-good fit was obtained for the three-factor model (emotional, psychological, and social well-being). The MHC-SF scores showed good internal consistency (Cronbach’s alpha = .91) and results supported convergent and divergent validity. Finally, the MHC-SF showed gender and age factorial invariance. Conclusion The current psychometric evaluation indicates the MHC-SF is a reliable and valid instrument to assess multiple dimensions of well-being among Dutch adolescents. The instrument can be applied for research purposes and in clinical practice.

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.

Validity and reliability of the Self-administered-Psycho-TherApy-SystemS (SELFPASS) depression and anxiety self-assessment item pool: a cross-sectional online survey (Preprint)

2021 ◽  
Author(s):  
Gwendolyn Mayer ◽  
Svenja Hummel ◽  
Nadine Gronewold ◽  
Oetjen Neele ◽  
Thomas Hilbel ◽  
...  
Keyword(s):  
Mental Health ◽  
Psychometric Properties ◽  
Factor Structure ◽  
Healthy Subjects ◽  
Criterion Validity ◽  
Depression And Anxiety ◽  
Item Pool ◽  
Validity And Reliability ◽  
Self Assessment ◽  
Underlying Factor

BACKGROUND E-mental-health applications targeting at depression and anxiety have gained increased attention in mental health care. Daily self-assessment is an essential part of e-mental-health apps. The app SELFPASS (Self-administered-Psycho-TherApy-SystemS) is a self-management app to manage depressive and anxious symptoms. A self-developed item pool with 40 depression items and 12 anxiety items is included to provide symptom specific suggestions for interventions. However, the psychometric properties of the item pool have not yet been tested. OBJECTIVE The aim of this study is to investigate the validity and reliability of the SELFPASS item pool that has been developed for an internet-based daily self-assessment of depressive and anxious symptoms. METHODS An online link with the SELFPASS item pool and validated mood assessment scales were distributed to healthy subjects and patients who had received a diagnosis of a depressive disorder within the last year. Two scores were derived from the SELFPASS item pool: SELFPASS depression (SP-D) and SELFPASS anxiety (SP-A). The reliability was examined using Cronbach’s α. The construct validity was assessed via Pearson correlations with the Patients Health Questionnaire-9 (PHQ-9), the General Anxiety Disorder Scale-7 (GAD-7) and the WHO-5-Wellbeing-Scale (WHO-5). A logistic regression was performed as an indicator for concurrent criterion validity of SP-D and SP-A. A factor analysis provides information about the underlying factor structure of the item pool. Item-scale-correlations were calculated in order to determine item quality. RESULTS A total of n=284 participants were included, with n=192 (67.6%) healthy subjects and n=92 (32.4%) patients. Cronbach’s α was α=0.94 for SP-D and α=0.88 for SP-A. We found significant positive correlations of SP-D and PHQ-9 (r=0.87, P<.001), SP-A and GAD-7 (r=0.80, P<.001), and negative correlations of SP-D and WHO-5 (r=-0.80, P<.001) and SP A and WHO-5 (r=-.69, P<.001). Increasing scores of SP-D and SP-A led to increased odds of belonging to the patient group (SP-D: OR=1.03 (1.01 – 1.05), P<.001; SP-A: 1.05 (1.05 – 1.01), P=.01). The item pool showed two factors with one that consisted of mood-related items and another factor with somatic-related items. CONCLUSIONS The SELFPASS item pool showed good psychometric properties in terms of reliability, construct and criterion validity. However, the underlying factor structure could not be reduced to the two diagnostic categories depression and anxiety, but to a more mood related and a rather somatic factor. Few items should be replaced for future use.

scholarly journals The reliability and validity of the Patient Health Questionnaire-9 (PHQ-9) and PHQ-2 in patients with infertility

2019 ◽  
Vol 16 (1) ◽  
Author(s):  
Saman Maroufizadeh ◽  
Reza Omani-Samani ◽  
Amir Almasi-Hashiani ◽  
Payam Amini ◽  
Mahdi Sepidarkish
Keyword(s):  
Depressive Symptoms ◽  
Internal Consistency ◽  
Convergent Validity ◽  
Univariate Analysis ◽  
Reliability And Validity ◽  
Well Being ◽  
Patient Health Questionnaire ◽  
Depression Symptoms ◽  
Health Questionnaire ◽  
Patient Health

Abstract Background Depression in patients with infertility often goes undiagnosed and untreated. The Patient Health Questionnaire-9 (PHQ-9) and its ultra-brief version (i.e. PHQ-2) are widely used measures of depressive symptoms. These scales have not been validated in patients with infertility. The aim of the present study was to examine the reliability and validity of the PHQ-9 and PHQ-2 in patients with infertility. Methods In this cross-sectional study, a total of 539 patients with infertility from a referral infertility clinic in Tehran, Iran completed the PHQ-9, along with other relevant scales: the WHO-five Well-being Index (WHO-5), the Hospital Anxiety and Depression Scale (HADS), and the Generalized Anxiety Disorder-7 (GAD-7). Factor structure and internal consistency of PHQ-9 were examined via confirmatory factor analysis (CFA) and Cronbach’s alpha, respectively. Convergent validity was evaluated by relationship with WHO-5, HADS and GAD-7. Results The mean total PHQ-9 and PHQ-2 scores were 8.47 ± 6.17 and 2.42 ± 1.86, respectively, and using a cut-off value of 10 (for PHQ-9) and 3 (for PHQ-2), the prevalence of depressive symptoms was 38.6 and 43.6%, respectively. The Cronbach’s alphas for PHQ-9 and PHQ-2 were, respectively, 0.851 and 0.767, indicating good internal consistency. The CFA results confirmed the one-factor model of the PHQ-9 (χ2/df = 4.29; CFI = 0.98; RMSEA = 0.078 and SRMR = 0.044). Both PHQ-9 and PHQ-2 showed moderate to strong correlation with the measures of WHO-5, HADS-depression, HADS-anxiety, and the GAD-7, confirming convergent validity. In univariate analysis, female sex, long infertility duration, and unsuccessful treatment were significantly associated with depression symptoms. Conclusion Both PHQ-9 and PHQ-2 are brief and easy to use measures of depressive symptoms with good psychometric properties that appear suitable for routine use in patients with infertility.

Worries About Mental Health Questionnaire

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