• Title of article

    The Relationship between Marital Satisfaction and Postpartum Depression in Women who Visited Health Centers in Bandar Abbas city

  • Author/Authors

    MobarakAbadi، Arezoo نويسنده Department of Clinical Psychology, Islamic Azad University, Science and Research Branch, Hormozgan, Iran , , Fallahchai، Reza نويسنده Hormozgan University, Bandar Abbas, Iran , , Askari، Mahin نويسنده Hormozgan University of Medical Science, Bandar Abbas, Iran ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2014
  • Pages
    5
  • From page
    120
  • To page
    124
  • Abstract
    Postpartum depression causes problems for the mother, baby and other family members. Such a situation may affect the quality of mother-infant attachment and other family relationships. This may even threaten both safety and health of mothers, infants and other children. This research aimed to study the relationship between marital satisfaction and postpartum depression in women who visited health centers in Bandar Abbas city. The correlational method was used in this descriptive research. The tools used to collect data were Beck Depression Inventory-II and ENRICH Marital Satisfaction Inventory. The required information in this research was obtained from 125 women who visited four health centers in Bandar Abbas city three months after delivery for postpartum care and childcare. In this study, multi-stage cluster sampling method was used. Data analysis was performed using both descriptive and inferential statistics. In order to analyze data, SPSS and statistical tests relevant to one-way analysis of variance were used. The findings showed that there is an inverse and significant relationship between marital satisfaction and postpartum depression. Moreover, the results indicated that there is an inverse and significant relationship between marital satisfaction subscales and depression.
  • Journal title
    Journal of Applied Environmental and Biological Sciences
  • Serial Year
    2014
  • Journal title
    Journal of Applied Environmental and Biological Sciences
  • Record number

    2038457