Life satisfaction and self-rated health in adolescentsThe relationships between them and the role of gender and age

  1. Francisco L. Atienza-González 1
  2. Natalia Martínez 1
  3. Castora Silva 1
  1. 1 Universitat de València
    info

    Universitat de València

    Valencia, España

    ROR https://ror.org/043nxc105

Revista:
The Spanish Journal of Psychology

ISSN: 1138-7416

Año de publicación: 2020

Número: 23

Páginas: 1-9

Tipo: Artículo

DOI: 10.1017/SJP.2020.10 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: The Spanish Journal of Psychology

Resumen

The purpose of this study was to analyze the relationships between self-reported life satisfaction, self-rated health, gender, and age in adolescents. 1,141 secondary school students aged between 12 and 17 participated in our study. The data were analyzed using bivariate and nonlinear canonical correlation analyses. The results of the bivariate correlation analysis support the results of previous studies. Life satisfaction was positively correlated with same-day perceived health (r = .37; p < .01) and negatively correlated with anxiety/depression (r = –.37; p < .01). Same-day perceived health was positively correlated with health in the past 12 months (r = .38; p < .01) and negatively correlated with pain/discomfort (r = –.32; p < .01) and with anxiety/depression (r = –.32; p < .01). The nonlinear canonical correlation analysis provided further evidence of the relationship between the variables, suggesting the complementarity of the indicators of self-rated health analyzed. Multiple fit values showed that demographic variables age (.61) and gender (.56) were the variables with the best discriminatory power. Graphically, two groups of related variables were displayed. A non-linear analysis better explains the relationships between the variables analyzed, showing that age and gender have a high level of discriminatory power for life satisfaction and self-rated health, suggesting a role as a moderator in the relationship between health and well-being variables.

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