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大学生心理健康与症状的社会预测因素

Social predictors of psychological well-being and symptoms of college students.

作者信息

Newhart Sean

机构信息

Department of Counseling and Education Studies, Johns Hopkins University School of Education, Baltimore, Maryland, USA.

出版信息

J Am Coll Health. 2025 Jan;73(1):267-280. doi: 10.1080/07448481.2023.2217717. Epub 2023 Jun 8.

DOI:10.1080/07448481.2023.2217717
PMID:37289975
Abstract

OBJECTIVE

Limited research exists on the simultaneous effects of family functioning, social competence, and social support on the well-being and depression, anxiety, and stress of college students and the power of these effects. We examined these predictors in two models to determine each variable's impact on students' mental health.

PARTICIPANTS

From October 2018 to November 2018, 726 students from 18 institutions of varying sizes across the United States participated in an online survey.

METHODS

Stratified random sampling with institution size and setting as the strata; descriptive statistics, Pearson correlation, and multiple linear regression to test study hypotheses.

RESULTS

Variables predicted mental well-being and symptoms across both models, with social competence being the largest predictor, followed by perceived social support and family functioning.

CONCLUSIONS

Practitioners should consider the impact of social influences on student mental health and design interventions to strengthen social competence and support.

摘要

目的

关于家庭功能、社交能力和社会支持对大学生幸福感以及抑郁、焦虑和压力的同时影响及其影响力的研究有限。我们在两个模型中检验了这些预测因素,以确定每个变量对学生心理健康的影响。

参与者

2018年10月至2018年11月,来自美国18所不同规模院校的726名学生参与了一项在线调查。

方法

以院校规模和类型为分层因素进行分层随机抽样;采用描述性统计、皮尔逊相关性分析和多元线性回归来检验研究假设。

结果

在两个模型中,各变量均对心理健康和症状具有预测作用,其中社交能力是最大的预测因素,其次是感知到的社会支持和家庭功能。

结论

从业者应考虑社会影响对学生心理健康的作用,并设计干预措施以增强社交能力和支持。

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