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. 2023 Jul 13:16:2655-2665.
doi: 10.2147/PRBM.S412460. eCollection 2023.

Adaptation of the Mental Health Inventory (MHI-38) for Adolescents - Indonesian Version

Abes Chrismayanti Parombean  1 , Fitri Ariyanti Abidin  2   3 , Laila Qodariah  2   3 , Shally Novita  4
Affiliations

Adaptation of the Mental Health Inventory (MHI-38) for Adolescents - Indonesian Version

Abes Chrismayanti Parombean et al. Psychol Res Behav Manag. .

Abstract

Objective: This study validates the Indonesian version of the Mental Health Inventory-38 (MHI-38) for use among Indonesian adolescents. The adaptation process followed guidelines from the International Test Commission and involved translation, expert review, cognitive interviews, and psychometric evaluation. A total of 562 adolescents (mean age = 15.42, SD = 1.84) participated in the study.

Results: The MHI-38 demonstrated dual factors: psychological well-being and psychological distress. Internal consistency was high for the MHI-38 (α = 0.892) and its factors: psychological well-being (α = 0.894) and psychological distress (α = 0.952). Confirmatory factor analysis indicated a good fit (RMSEA = 0.048, CFI = 0.945, NFI = 0.908, TLI = 0.929). Psychological well-being correlated moderately with the Satisfaction with Life Scale (r = 0.469, p = 0.00) and positive affect (r = 0.448, p = 0.00), but negatively with the Kessler Psychological Distress Scale (r = -0.230, p = 0.00). Psychological distress correlated strongly with the Kessler Psychological Distress Scale (r = 0.910, p = 0.00) and negative affect (r = 0.857, p = 0.00), but negatively with the Satisfaction with Life Scale (r = 0.556, p = 0.00).

Conclusion: The Indonesian version of the MHI-38 demonstrated good psychometric properties and validity, making it a reliable tool for assessing mental health in Indonesian adolescents.

Keywords: adolescents; mental health; psychological distress; psychological well-being; psychometric properties; validation.

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Conflict of interest statement

The authors report no conflicts of interest in this work.

Figures

Figure 1
Figure 1
Dual-factor model.
See this image and copyright information in PMC

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