Qasabe Nasibe Farmani, Garmaroudi Gholamreza, Leyli Ehsan Kazemnezhad, Farrahi Hassan
Department of Health Education and Promotion, Faculty of Health, Tehran University of Medical Sciences, Tehran, 1417613151, Iran.
Department of Biostatistics, School of Health, Road Trauma Research Center, Guilan University of Medical Sciences, Rasht, Iran.
BMC Public Health. 2025 Apr 30;25(1):1589. doi: 10.1186/s12889-025-22409-9.
Adolescent girls face many types of stress, and stress-coping strategies a very important, since the factors related to the styles of adapting to stress have not been sufficiently addressed; thus, this study aimed to investigate the factors related to stress-coping strategies. This descriptive-analytical study, included 1181 adolescent girls in Rasht, Iran, and a cluster sampling method was used. The data collection tool was a two-part questionnaire, which included 17 demographic questions in the first part (age, educational level, number of family members, history of mental illnesses in the family, family rank, father's occupation, mother's occupation, father's education, mother's education, economic status, way of life, type of school, number of students in the class, light in the class, green area, color and building materials, and gender of most teachers), and in the second part of the Lazarus coping styles questionnaire, 66 questions were investigated. Data analysis was performed with SPSS-26, and descriptive indicators of frequency (frequency percentage), and mean and to investigate the correlation between qualitative and quantitative demographic variables with coping strategies, Kruskal-Wallis, Mann-Whitney, and Spearman correlation coefficient tests were used. Logistic regression was used to predict demographic variables.
青春期女孩面临多种类型的压力,应对压力的策略非常重要,因为与适应压力方式相关的因素尚未得到充分探讨;因此,本研究旨在调查与应对压力策略相关的因素。这项描述性分析研究纳入了伊朗拉什特的1181名青春期女孩,并采用了整群抽样方法。数据收集工具是一份分为两部分的问卷,第一部分包括17个人口统计学问题(年龄、教育水平、家庭成员数量、家族精神病史、家庭排行、父亲职业、母亲职业、父亲教育程度、母亲教育程度、经济状况、生活方式、学校类型、班级学生人数、教室采光、绿化面积、颜色和建筑材料以及大多数教师的性别),第二部分是拉扎勒斯应对方式问卷,调查了66个问题。使用SPSS-26进行数据分析,采用频率(频率百分比)、均值等描述性指标,并使用Kruskal-Wallis检验、Mann-Whitney检验和Spearman相关系数检验来研究定性和定量人口统计学变量与应对策略之间的相关性。使用逻辑回归来预测人口统计学变量。