Psychosocial factors that predict happiness: A multigroup path analysis
Background: Happiness has been of importance in different cultures because of its importance for biopsychosocial development in humans. Therefore, it is relevant to identify factors that can promote happiness, such as optimism, gratitude, mental health and psychological well-being. This study's...
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Elsevier
2025-03-01
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| Series: | Acta Psychologica |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0001691825000812 |
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| author | Juan Martell-Muñoz José Fernando Mora-Romo David Luna Filiberto Toledano-Toledano |
| author_facet | Juan Martell-Muñoz José Fernando Mora-Romo David Luna Filiberto Toledano-Toledano |
| author_sort | Juan Martell-Muñoz |
| collection | DOAJ |
| description | Background: Happiness has been of importance in different cultures because of its importance for biopsychosocial development in humans. Therefore, it is relevant to identify factors that can promote happiness, such as optimism, gratitude, mental health and psychological well-being. This study's aim was to test predictors of happiness in a Mexican sample. Method: A nonexperimental and cross-sectional design was used, as well as a non-probabilistic sampling method. Four scales were applied to measure optimism, gratitude, psychological well-being, and happiness in 250 Mexican participants, as well as mental and physical health self-assessments. Descriptive analysis, hierarchical regression models, path analysis and multigroup analysis were used. Results: The hierarchical regression model obtained an explained variance of 57.4 %, while the structural model was 31.53 %. It was observed that a higher degree of gratitude predicted psychological well-being and happiness, while a higher optimism predicted a higher psychological well-being (β = 0.231, p = .001), mental health (β = 0.255, p = .001) and happiness (β = 0.518, p = .001). Multigroup analysis identified differences in these effects, where participant sex, marital status and religion were moderating variables. Conclusions: The identification of the mediating and moderating variables of the direct and indirect effects of happiness will allow the development of intervention strategies to promote happiness in the population. |
| format | Article |
| id | doaj-art-88476a857a644ffc9c4e9030bd90fd50 |
| institution | Kabale University |
| issn | 0001-6918 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Acta Psychologica |
| spelling | doaj-art-88476a857a644ffc9c4e9030bd90fd502025-02-02T05:26:35ZengElsevierActa Psychologica0001-69182025-03-01253104768Psychosocial factors that predict happiness: A multigroup path analysisJuan Martell-Muñoz0José Fernando Mora-Romo1David Luna2Filiberto Toledano-Toledano3Unidad Académica de Psicología (UAP), Universidad Autónoma de Zacatecas (UAZ), Zacatecas 98060, MexicoFacultad de Estudios Superiores Iztacala (FES-I), Universidad Nacional Autónoma de México (UNAM), Tlalnepantla de Baz, Estado de México 54090, Mexico; Unidad Académica de Psicología (UAP) Plantel Fresnillo, Universidad Autónoma de Zacatecas (UAZ), Fresnillo, Zacatecas, MexicoUnidad de Investigación Multidisciplinaria en Salud, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Calzada México-Xochimilco 289, Arenal de Guadalupe, Tlalpan, Mexico City 14389, MexicoUnidad de Investigación Multidisciplinaria en Salud, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Calzada México-Xochimilco 289, Arenal de Guadalupe, Tlalpan, Mexico City 14389, Mexico; Unidad de Investigación en Medicina Basada en Evidencias, Hospital Infantil de México Federico Gómez Instituto Nacional de Salud, Dr. Márquez 162, Doctores, Cuauhtémoc, Mexico City 06720, Mexico; Dirección de Investigación y Diseminación del Conocimiento, Instituto Nacional de Ciencias e Innovación para la Formación de Comunidad Científica, INDEHUS, Periférico Sur 4860, Arenal de Guadalupe, Tlalpan, Mexico City 14389, Mexico; Corresponding author at: Unidad de Investigación en Medicina Basada en Evidencias, Hospital Infantil de México Federico Gómez Instituto Nacional de Salud, Dr. Márquez 162, Doctores, Cuauhtémoc, Mexico City 06720, Mexico.Background: Happiness has been of importance in different cultures because of its importance for biopsychosocial development in humans. Therefore, it is relevant to identify factors that can promote happiness, such as optimism, gratitude, mental health and psychological well-being. This study's aim was to test predictors of happiness in a Mexican sample. Method: A nonexperimental and cross-sectional design was used, as well as a non-probabilistic sampling method. Four scales were applied to measure optimism, gratitude, psychological well-being, and happiness in 250 Mexican participants, as well as mental and physical health self-assessments. Descriptive analysis, hierarchical regression models, path analysis and multigroup analysis were used. Results: The hierarchical regression model obtained an explained variance of 57.4 %, while the structural model was 31.53 %. It was observed that a higher degree of gratitude predicted psychological well-being and happiness, while a higher optimism predicted a higher psychological well-being (β = 0.231, p = .001), mental health (β = 0.255, p = .001) and happiness (β = 0.518, p = .001). Multigroup analysis identified differences in these effects, where participant sex, marital status and religion were moderating variables. Conclusions: The identification of the mediating and moderating variables of the direct and indirect effects of happiness will allow the development of intervention strategies to promote happiness in the population.http://www.sciencedirect.com/science/article/pii/S0001691825000812HappinessPsychological well-beingOptimismGratitudeMental health |
| spellingShingle | Juan Martell-Muñoz José Fernando Mora-Romo David Luna Filiberto Toledano-Toledano Psychosocial factors that predict happiness: A multigroup path analysis Acta Psychologica Happiness Psychological well-being Optimism Gratitude Mental health |
| title | Psychosocial factors that predict happiness: A multigroup path analysis |
| title_full | Psychosocial factors that predict happiness: A multigroup path analysis |
| title_fullStr | Psychosocial factors that predict happiness: A multigroup path analysis |
| title_full_unstemmed | Psychosocial factors that predict happiness: A multigroup path analysis |
| title_short | Psychosocial factors that predict happiness: A multigroup path analysis |
| title_sort | psychosocial factors that predict happiness a multigroup path analysis |
| topic | Happiness Psychological well-being Optimism Gratitude Mental health |
| url | http://www.sciencedirect.com/science/article/pii/S0001691825000812 |
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