Sadeghi Razieh, Ghandehari Alavijeh Maedeh, Raeisi Shahraki Hadi
Student Research Committee, Shahrekord University of Medical Sciences, Shahrekord, Iran.
Department of Epidemiology and Biostatistics, Faculty of Health, Shahrekord University of Medical Sciences, Shahrekord, Iran.
Depress Res Treat. 2023 Aug 5;2023:3993304. doi: 10.1155/2023/3993304. eCollection 2023.
This study was devoted to determining the role of social support and socioeconomic factors in predicting students' depression.
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.
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, = 0.001) but was not statistically significant in different categories of age ( = 0.70), marital status ( = 0.37), ethnicity ( = 0.10), parents' education, and the other demographic variables. Pearson's correlation showed an inverse and significant correlation between depression and social support ( = -0.20, = 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 ( < 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.
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.
本研究致力于确定社会支持和社会经济因素在预测学生抑郁方面的作用。
在这项横断面研究中，通过普查法纳入了伊朗设拉子医科大学2019 - 2020学年的所有一年级本科生。数据收集工具包括研究者编制的关于人口统计学和社会经济状况的清单、感知社会支持的标准问卷以及贝克抑郁问卷。采用平滑截断绝对偏差（SCAD）线性回归来模拟社会支持和社会经济因素在预测抑郁中的作用。
在220名一年级本科生中，174名（79.1%）为女性，176名（80.0%）为单身。一年级本科生抑郁得分的均值±标准差为10.56±5.19，社会支持得分的均值±标准差为48.86±5.46。女性学生的抑郁平均分显著高于男性（11.09对8.59，P = 0.001），但在不同年龄类别（P = 0.70）、婚姻状况（P = 0.37）、种族（P = 0.10）、父母教育程度及其他人口统计学变量方面无统计学意义。Pearson相关性分析显示抑郁与社会支持之间存在负向且显著的相关性（r = -0.20，P = 0.003）。公共卫生和环境卫生专业学生的抑郁平均分最高，实验科学专业学生的抑郁平均分最低，差异具有统计学意义（P < 0.001）。在对其他变量进行调整后，SCAD回归显示社会支持在抑郁预测中起关键作用，增加社会支持会导致抑郁得分降低。
考虑到抑郁与社会支持之间存在负向且显著的相关性，任何促进对一年级本科生社会支持的干预措施都可能降低抑郁水平。
