社会支持与社会经济因素在大一学生抑郁预测中的作用。

Q1 Psychology Depression Research and Treatment Pub Date : 2023-01-01 DOI:10.1155/2023/3993304
Razieh Sadeghi, Maedeh Ghandehari Alavijeh, Hadi Raeisi Shahraki
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引用次数: 0

摘要

目的:探讨社会支持和社会经济因素对大学生抑郁的影响。方法:本横断面研究采用人口普查方法,纳入2019-2020学年伊朗Shahrekord医学科学大学所有一年级本科生。数据收集工具包括研究人员制作的人口统计和社会经济状况检查表,感知社会支持的标准问卷和贝克抑郁问卷。采用平滑剪断绝对偏差(SCAD)线性回归模型对社会支持和社会经济因素在抑郁症预测中的作用进行了建模。结果:220名本科一年级学生中,女性174人(79.1%),单身176人(80.0%)。本科一年级学生抑郁得分的平均±SD为10.56±5.19,社会支持得分的平均±SD为48.86±5.46。女生的抑郁平均得分显著高于男生(11.09比8.59,P = 0.001),但在年龄(P = 0.70)、婚姻状况(P = 0.37)、种族(P = 0.10)、父母受教育程度等人口统计学变量上差异无统计学意义。Pearson相关分析显示抑郁与社会支持呈显著负相关(R = -0.20, P = 0.003)。公共卫生与环境卫生专业学生抑郁平均得分最高,实验科学专业学生抑郁平均得分最低,差异有统计学意义(P < 0.001)。在调整其他变量后,SCAD回归显示社会支持在抑郁预测中起关键作用,社会支持的增加导致抑郁评分的降低。结论:考虑到抑郁与社会支持之间存在负相关且显著相关,任何促进社会支持的干预措施都可能降低本科一年级学生的抑郁。
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The Role of Social Support and Socioeconomic Factors in the Prediction of Depression among First-Year Undergraduate Students.

Aim: This study was devoted to determining the role of social support and socioeconomic factors in predicting students' depression.

Methods: In this cross-sectional study, all first-year undergraduate students in the Shahrekord University of Medical Sciences, Iran, during the 2019-2020 academic year were included via the census method. Data collection tools include a researcher-made checklist about demographic and socioeconomic status, a standard questionnaire of perceived social support, and Beck's depression questionnaire. Smoothly clipped absolute deviation (SCAD) linear regression was used to model the role of social support and socioeconomic factors in predicting depression.

Results: Out of the 220 first-year undergraduate students, 174 (79.1%) were female, and 176 (80.0%) were single. The mean ± SD of depression score among the first-year undergraduate students was 10.56 ± 5.19, and the mean ± SD of social support score was 48.86 ± 5.46. The mean score of depression was significantly higher in female students than in males (11.09 versus 8.59, P = 0.001) but was not statistically significant in different categories of age (P = 0.70), marital status (P = 0.37), ethnicity (P = 0.10), parents' education, and the other demographic variables. Pearson's correlation showed an inverse and significant correlation between depression and social support (R = -0.20, P = 0.003). The mean score of depression was at the highest level for students of public health and environmental health majors and was the lowest for students of laboratory sciences, which was statistically significant (P < 0.001). After adjusting the other variables, SCAD regression showed that social support plays a key role in depression prediction, and increasing social support leads to a decrease in depression score.

Conclusion: Considering the existence of an inverse and significant correlation between depression and social support, any intervention to promote social support for first-year undergraduate students may decrease depression.

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来源期刊
Depression Research and Treatment
Depression Research and Treatment Psychology-Clinical Psychology
CiteScore
8.80
自引率
0.00%
发文量
8
审稿时长
10 weeks
期刊最新文献
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