Welcome to Psychiatryai.com: Latest Evidence - RAISR4D

Relationships between demographic variables and stress coping strategies in sample of Iranian teenage girls

BMC Public Health. 2025 Apr 30;25(1):1589. doi: 10.1186/s12889-025-22409-9.

ABSTRACT

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.

PMID:40307724 | DOI:10.1186/s12889-025-22409-9

Document this CPD

AI-Assisted Evidence Search

Share Evidence Blueprint

QR Code

Search Google Scholar

close chatgpt icon
ChatGPT

Enter your request.

Psychiatry AI: Real-Time AI Scoping Review (RAISR4D)