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青少年的生活满意度和自评健康:它们之间的关系以及性别和年龄的作用。

Life Satisfaction and Self-rated Health in Adolescents: The Relationships between them and the Role of Gender and Age.

机构信息

Universitat de València (Spain).

出版信息

Span J Psychol. 2020 May 21;23:e4. doi: 10.1017/SJP.2020.10.

DOI:10.1017/SJP.2020.10
PMID:32436483
Abstract

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.

摘要

本研究旨在分析青少年的生活满意度自评、健康自评、性别和年龄之间的关系。我们的研究对象是 12 至 17 岁的 1141 名中学生。数据分析采用了双变量和非线性典范相关分析。双变量相关分析的结果支持了先前研究的结果。生活满意度与当天的感知健康呈正相关(r =.37;p <.01),与焦虑/抑郁呈负相关(r = -.37;p <.01)。当天的感知健康与过去 12 个月的健康呈正相关(r =.38;p <.01),与疼痛/不适呈负相关(r = -.32;p <.01),与焦虑/抑郁呈负相关(r = -.32;p <.01)。非线性典范相关分析进一步提供了变量之间关系的证据,表明分析的健康自评指标具有互补性。多个拟合值表明,人口统计学变量年龄(.61)和性别(.56)是具有最佳区分能力的变量。图形上显示了两组相关变量。非线性分析更好地解释了变量之间的关系,表明年龄和性别对生活满意度和健康自评具有较高的区分能力,表明它们在健康和幸福感变量之间的关系中起着调节作用。

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