Predicting high school female students' mental health in Shiraz, Iran based on family process and content model

Journal Title: Journal of Science and today’s world - Year 2016, Vol 5, Issue 12

Abstract

The present study aims to predict high school female students' mental health in Shiraz, Iran based on family process and content model. Research method was correlation. 160 high school female students were selected based on multistage cluster sampling method and completed Goldberg & Hiler mental health questionnaire(1972), short form of Samani family process scale (2008), and short form of Samani family content scale. The results of Pearson correlation coefficient demonstrated that there is a significant negative correlation between family process and content and mental health score. Moreover, a significant negative correlation was found between family process and content and anxiety, depression and social functioning disorder. Furthermore, regression analysis showed that family process and content is capable of predicting mental health and subscales of mental health (depression, anxiety, and social functioning disorder).

Authors and Affiliations

Zahra Ahmadi, Zahra Ghaderi

Keywords

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  • EP ID EP29650
  • DOI -
  • Views 342
  • Downloads 4

How To Cite

Zahra Ahmadi, Zahra Ghaderi (2016). Predicting high school female students' mental health in Shiraz, Iran based on family process and content model. Journal of Science and today’s world, 5(12), -. https://europub.co.uk/articles/-A-29650