Hostname: page-component-586b7cd67f-rcrh6 Total loading time: 0 Render date: 2024-12-02T20:51:01.706Z Has data issue: false hasContentIssue false

The Survey of Socio-economic Factors Related to Rate of Child Abuse in the Family

Published online by Cambridge University Press:  15 April 2020

S. Ahmadi
Affiliation:
Deputy for Research And Technology-Iran, Ministry of Health and Medical Education, Tehran, Iran
E. Aghapour
Affiliation:
Deputy for Research And Technology-Iran, MA of Sociology -Tehran University of Medical Sciences, Tehran, Iran
Y. Fakour
Affiliation:
Deputy for Research And Technology-Iran, M.D Psychiatrist member of Immunobollous Dxs research center -Deputy for Research And Technology -Ministry of Health and Medical Education of Iran, Tehran, Iran
A. Moradi Joshaghan
Affiliation:
virus vaccines D., M.APasteur Institute of Iran, Tehran, Iran
M. Momtaz Bakhsh
Affiliation:
M.A Social security, M.A Social security organization of IRAN, Tehran, Iran

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Introduction

The main aim of the study is The Survey of Socio-economic Factors Related to Rate of child Abuse in the Family of Karaj Hesarak province of Iran.

Method

This research has followed a survey method using questionnaires. The participant of this study was families living in Karaj Hesarak. Data were collected by a structured questionnaire from 400 Family who were systematic-randomly selected.

Results

According to result, a significant correlation was found between a age, sexuality, income, level of education, family size, Social capital, Mental health and religious orientation to Rate of child Abuse in the Family. The results of regression equation showed that, factors including: Mental health, family size, Social capital, income and religious orientation influence on child Abuse in the Family.

These factors explain 57 percent of the variation changes in the dependent variable. According to the model path analysis, among these variables mental health has a highest impact on the dependent variable.

Type
Article: 0568
Copyright
Copyright © European Psychiatric Association 2015
Submit a response

Comments

No Comments have been published for this article.