Literature DB >> 28150373

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

J Roldán-Merino1,2,3,4,5,6, M T Lluch-Canut4,6,7, I Casas3,8, M Sanromà-Ortíz9, C Ferré-Grau2,6,10, C Sequeira6,11, A Falcó-Pegueroles6,12,13, D Soares2, M Puig-Llobet6,7,10.   

Abstract

WHAT IS KNOWN ON THE SUBJECT?: In general, the current studies of positive mental health use questionnaires or parts thereof. However, while these questionnaires evaluate aspects of positive mental health, they fail to measure the construct itself. WHAT DOES THIS PAPER ADD TO EXISTING KNOWLEDGE?: The widespread use and the lack of specific questionnaires for evaluating the positive mental health construct justify the need to measure the robustness of the Positive Mental Health Questionnaire. Also six factors are proposed to measure positive mental health. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: The availability of a good questionnaire to measure positive mental health in university students is useful not only to promote mental health but also to strengthen the curricula of future professionals. ABSTRACT: Introduction Nursing has a relevant role in managing mental health. It is important to identify and thereafter to enhance positive aspects of mental health among university nursing students. Aim The aim of the present study was to analyse the psychometric properties of the Positive Mental Health Questionnaire (PMHQ) in terms of reliability and validity using confirmatory factor analysis in a sample of university students. Method A cross-sectional study was carried out in a sample of 1091 students at 4 nursing schools in Catalonia, Spain. The reliability of the PMHQ was measured by means of Cronbach's alpha coefficient, and the test-retest stability was measured with the intraclass correlation coefficient (ICC). Confirmatory factor analysis was used to determine the validity of the factorial structure. Results Cronbach's alpha coefficient was satisfactory (>0.70) for four of the six subscales or dimensions and ranged from 0.54 to 0.79. ICC analysis was satisfactory for the six subscales or dimensions. The hypothesis was confirmed in the analysis of the correlations between subclasses and the overall scale, with the strongest correlations being found between the majority of the subscales and the overall scale. Confirmatory factor analysis showed that the model proposed for the factors fit the data satisfactorily. Discussion This scale is a valid and reliable instrument for evaluating positive mental health in university students. Implications for Practice A good questionnaire to measure positive mental health in university students is useful not only to promote mental health but also to strengthen the curricula of future professionals.
© 2017 John Wiley & Sons Ltd.

Keywords:  Health promotion; Mental health promotion; Public health; Scales and assessment

Mesh:

Year:  2017        PMID: 28150373     DOI: 10.1111/jpm.12358

Source DB:  PubMed          Journal:  J Psychiatr Ment Health Nurs        ISSN: 1351-0126            Impact factor:   2.952


  9 in total

1.  Prevalence and Predictors of Mental Health Disorder Among the Adolescent Living in the Slums of Lucknow, India: A Cross-Sectional Study.

Authors:  Satish Kumar Chauhan; Murali Dhar
Journal:  Community Ment Health J       Date:  2019-09-17

2.  The Mental Health of Patients With Psychotic Disorder From a Positive, Multidimensional and Recovery Perspective.

Authors:  Miriam Broncano-Bolzoni; Mònica González-Carrasco; Dolors Juvinyà-Canal; MTeresa Lluch-Canut
Journal:  Front Psychol       Date:  2022-07-04

3.  Mental Health Literacy and Positive Mental Health in Adolescents: A Correlational Study.

Authors:  Joana Nobre; António Calha; Henrique Luis; Ana Paula Oliveira; Francisco Monteiro; Carme Ferré-Grau; Carlos Sequeira
Journal:  Int J Environ Res Public Health       Date:  2022-07-03       Impact factor: 4.614

4.  Development and validation of the Rapid Positive Mental Health Instrument (R-PMHI) for measuring mental health outcomes in the population.

Authors:  Janhavi Ajit Vaingankar; Edimansyah Abdin; Robertus Martinus van Dam; Siow Ann Chong; Linda Wei Lin Tan; Rajeswari Sambasivam; Esmond Seow; Boon Yiang Chua; Hwee Lin Wee; Wei Yen Lim; Mythily Subramaniam
Journal:  BMC Public Health       Date:  2020-04-10       Impact factor: 3.295

5.  A method to determine a personalized set of online exercises for improving the positive mental health of a caregiver of a chronically ill patient.

Authors:  Maria Ferré-Bergadà; Aida Valls; Laia Raigal-Aran; Jael Lorca-Cabrera; Núria Albacar-Riobóo; Teresa Lluch-Canut; Carme Ferré-Grau
Journal:  BMC Med Inform Decis Mak       Date:  2021-02-25       Impact factor: 2.796

6.  Impact of collaborative nursing care on the recovery process of mental health day hospital users: a mixed-methods study protocol.

Authors:  Ana Ventosa-Ruiz; Antonio Moreno-Poyato; Teresa Lluch-Canut; Antonio Vaquerizo-Cubero; Xavier Vidal-Pascual; Ferran Gil-Guiñón; Montserrat Puig-Llobet
Journal:  BMJ Open       Date:  2022-03-30       Impact factor: 2.692

7.  Association Between Adverse Childhood Experiences, Resilience and Mental Health in a Hispanic Community.

Authors:  Maribel G Dominguez; Louis D Brown
Journal:  J Child Adolesc Trauma       Date:  2022-01-22

Review 8.  Youth Positive Mental Health Concepts and Definitions: A Systematic Review and Qualitative Synthesis.

Authors:  Janhavi Ajit Vaingankar; Mythily Subramaniam; Esmond Seow; Sherilyn Chang; Rajeswari Sambasivam; Nan Luo; Swapna Verma; Siow Ann Chong; Rob M van Dam
Journal:  Int J Environ Res Public Health       Date:  2022-09-13       Impact factor: 4.614

9.  Psychometric properties and population norms of the positive mental health instrument in a representative multi-ethnic Asian population.

Authors:  Janhavi Ajit Vaingankar; Mythily Subramaniam; Linda Wei Lin Tan; Edimansyah Abdin; Wei Yen Lim; Hwee Lin Wee; Siow Ann Chong; Rob Martinus van Dam
Journal:  BMC Med Res Methodol       Date:  2018-03-15       Impact factor: 4.615

  9 in total

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