Open AccessDepression and its Association with Housing conditions and Family among Pregnant Women of Rural Varanasi
Author(s) -
Kshitij Raj,
Shyam Sunder Keshari,
Hari Shankar,
Priyanka Kesarwani
Publication year - 2021
Publication title -
indian journal of community health/indian journal of community health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.149
H-Index - 9
eISSN - 2248-9509
pISSN - 0971-7587
DOI - 10.47203/ijch.2021.v33i04.006
Subject(s) - medicine , depression (economics) , affect (linguistics) , nuclear family , pregnancy , socioeconomic status , demography , family life , stressor , psychiatry , environmental health , population , psychology , socioeconomics , genetics , communication , sociology , biology , anthropology , economics , macroeconomics
Background: Depressive disorders were the second leading cause of years lost due to disability in 2010 after low back pain and leading cause of disability adjusted life years (WHO 2010). Gestational depression may lead to low birth weight, premature births etc. Housing and family are important aspects of one daily life which if are unsatisfactory can increase stress level of its members. Aims & Objectives: The aim of this study is to see the relationship of housing and family with depression among pregnant women. Material & Methods: This is a community based cross sectional study of 220 pregnant women in 10 randomly selected villages of Chiraigaon, Varanasi, Uttar Pradesh during one year period; using predesigned, pretested and semi structured interview schedule for assessing housing and family conditions. Results: Depression was found to be more in women living in kutcha house, nuclear family and illiterate husband, husband as head of family and belonging to lower socio-economic status. Increasing number of female child also increases depression. Conclusion: Housing structure, education of husband, socio-economic status and number of daughters should be assessed in every pregnant woman as these affect depressive state of pregnant women which can adversely affect the outcome of pregnancy.