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

Luijten, Chantie Charissa; Kuppens, Sofie; Bongardt, Daphne van de; Nieboer, Anna P.

doi:10.1186/s12955-019-1221-y

Cited by 45 publications

(50 citation statements)

References 45 publications

(85 reference statements)

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“…More recently, some of these limitations were addressed by studies that tested additional methods and models (de Bruin & du Plessis, 2015;Echeverria et al, 2017;Ferentinos et al, 2019;Hides et al, 2016;Jovanovic, 2015;Longo et al, 2020;Luijten et al, 2019;Reinhardt et al, 2020;Santini et al, 2020;Żemojtel-Piotrowska et al, 2017). The bifactor model, for example, allows for evaluation of the relevance and reliability of subscale scores after controlling for the variance of the general factor (Reise, 2012).…”

Section: Introductionmentioning

confidence: 99%

“…Psychometric studies that compared the fit of the bifactor model with that of other proposed models have, in most cases, favoured the bifactor solution (de Bruin & du Plessis, 2015;Ferentinos et al, 2019;Hides et al, 2016;Longo et al, 2020;Luijten et al, 2019;Monteiro et al, 2020;Reinhardt et al, 2020;Rogoza et al, 2018;Santini et al, 2020), including studies using exploratory structural equation modelling techniques (Ferentinos et al, 2019;Longo et al, 2020;Reinhardt et al, 2020;Rogoza et al, 2018). However, only one study (Reinhardt et al, 2020) (to our knowledge) has tested the bifactor model on adolescents exclusively.…”

Section: Introductionmentioning

confidence: 99%

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Psychometric evaluation of the mental health continuum – short form in Swedish adolescents

Söderqvist

Larm

2021

Curr Psychol

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The Mental Health Continuum – Short form (MHC-SF) is a self-report measure that has been increasingly used to monitor mental well-being at the population level. The aim of this study was to evaluate, for the first time, the psychometric properties of the MHC-SF in a population of Swedish adolescents. First, the evaluation was performed by examining face validity and test–retest reliability obtained in a pre-study. Then using data from the Survey of Adolescent Life in Vestmanland 2020 (n = 3880) we performed confirmatory factor analysis on different factor structures based on theory and previous research. Model-based estimates were calculated for assessing the internal reliability of the factor structure with the best fit. Convergent validity was assessed by bivariate as well as model-based correlations, and test–retest reliability was evaluated by intra-class correlation coefficients. The results show that the MHC-SF is best described with a bifactor model consisting of a dominant general well-being factor and three specific group factors of emotional, social and psychological well-being. Its overall reliability was high to very high, while the reliability of its subscales was low. A practical implication of the latter is that the subcales should not be used on their own because they are more likely to reliably measure the general well-being factor than the specific group factors. Test–retest reliability of the total scale was acceptable, and convergent validity was supported. In conclusion, we consider the Swedish MHC-SF to be a psychometrically sound instrument for monitoring overall mental well-being in Swedish adolescents.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Psychometric evaluation of the mental health continuum – short form in Swedish adolescents

Söderqvist

Larm

2021

Curr Psychol

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“…(flourishing, moderately mentally healthy and languishing). Studies report strong psychometric properties for the MHC with estimates of internal reliability of 0.89 (Lupano Perugini et al, 2017) and 0.91 across adolescent and adult sample and various cultural contexts including Canada, the USA, Netherlands, Argentina, Korea, Poland, India and Italy (see Luijten et al, 2019).…”

Section: Methodsmentioning

confidence: 99%

“…In more recent research, these three subtypes of mental health functioning have been reliably assessed using an objective 14-item Mental Health Continuum-Short Form (MHC-SF; Lamers et al, 2012;Keyes et al, 2008). Of particular relevance are studies showing (see e.g., Luijten, Kuppens, van de Bongardt, & Nieboer, 2019) strong psychometric properties and cultural validity for the MHC-SF when used as a measurement of overall mental health, collapsing over its three subscales (emotional, psychological, and social). However, the reliability and validity data are not as clear and strong for the MHC-SF subscales (e.g., Joshanloo, Wissing, Khumalo, & Lamers, 2013).…”

Section: Introductionmentioning

confidence: 99%

In search of positive mental health: Personality profiles and genetic polymorphisms

et al. 2020

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Individuals vary greatly in their mental health and these differences may play a critical role in stress resistance, risk reduction and illness recovery. Here we ask how these differences may be related to normal variation in personality and genotype. One hundred healthy college students completed measures of mental health (Mental Health Continuum-Short Form [MHC-SF]), personality (NEO Five Factor Inventory) and adverse childhood experiences. Participants also provided saliva samples, genotyped for both the serotonin transporter (5-HTTLPR) and the brain-derived neurotrophic factor (BDNF), each assayed for naturally occurring polymorphisms, 5-HTTLPR (short/long) and BDNF (valine/methionine). Mental health correlated strongly with the NEO triad of conscientiousness-extraversionneuroticism, with largest contributions to MHC-SF scores for conscientiousness, followed by extraversion and then neuroticism. The personality trait interaction of extraversion � conscientiousness uniquely accounted for approximately 44.22% 44.62% of the variance in MHC-SF scores. Polygenic comparisons showed a significant gene � gene interaction, with highest mental health for 5-HTTLPR-S, Met carriers. Together these results provided support for distinct yet interacting roles of personality and genetics in the phenotypical expression of mental health.

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“…More recently, some of these limitations were addressed by studies that tested additional methods and models [28][29][30][31][32][33][34][35][36][37]. The bifactor model, for example, allows for evaluation of the relevance and reliability of subscale scores after controlling for the variance of the general factor [27].…”

Section: Introductionmentioning

confidence: 99%

Monitoring Positive Mental Health in Swedish Adolescents: Psychometric Evaluation of the Mental Health Continuum – Short Form

Söderqvist

Larm

2020

Preprint

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BackgroundThe Mental Health Continuum – Short form (MHC-SF) is a self-report measure that has been increasingly used to monitor mental well-being at the population level. The aim of this study was to evaluate, for the first time, the psychometric properties of the MHC-SF in a Swedish population, more specifically adolescents. MethodsFirst, the evaluation was performed by examining face validity and test–retest reliability obtained in a pre-study (n = 93). Then using data from the Survey of Adolescent Life in Vestmanland 2020 (n = 3880; participation rate = 71%; females = 51%; mean age = 16.23 years), we performed confirmatory factor analysis on different factor structures based on theory and previous research. Model-based estimates were calculated for assessing the internal reliability of the factor structure with the best fit. Convergent validity was assessed by bivariate as well as model-based correlations, and test–retest reliability was evaluated by intra-class correlation coefficients. ResultsThis study on Swedish adolescents found that the MHC-SF is essentially unidimensional and best described with a bifactor model consisting of a dominant general well-being factor and three specific group factors of emotional, social and psychological well-being. Its overall reliability and the reliability of the general well-being factor were good to excellent, while the reliability of its subscales (specific group factor) was poor, and thus should not be used alone. Test–retest reliability of the total scale was good, and convergent validity was supported by strong to very strong correlations with the Short Warwick–Edinburg Mental Well-being Scale. ConclusionsIn conclusion, we consider the Swedish MHC-SF to be a psychometrically sound instrument for monitoring overall mental well-being in Swedish adolescents.

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

Cited by 45 publications

References 45 publications

Psychometric evaluation of the mental health continuum – short form in Swedish adolescents

Psychometric evaluation of the mental health continuum – short form in Swedish adolescents

In search of positive mental health: Personality profiles and genetic polymorphisms

Monitoring Positive Mental Health in Swedish Adolescents: Psychometric Evaluation of the Mental Health Continuum – Short Form

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