Normal view MARC view ISBD view

Descriptive Epidemiology And Risk Factors Of Antenatal Depression Among Women Visiting Tertiary Care Hospital In Lahore

By: Gulshan Umbreen (2015-VA-415) | Prof. Dr. Mansur Ud Din Ahmad.
Contributor(s): Dr. Mamoona Chaudhry | Dr. Muhammad Nasir.
Material type: materialTypeLabelBookPublisher: 2017Description: 92p.Subject(s): Epidemiology and Public HealthDDC classification: 2903-T Dissertation note: Mental health is an important but neglected component of reproductive health. Mental health problems among women of reproductive age group (15–45 yrs.) contributes to 7% of Global Burden of Diseases of women of all ages. During pregnancy prevalence of depression ranges from 4% to 20%. Women with perinatal depression experience full-blown major depression during pregnancy or after delivery (postpartum depression). The feelings of extreme sadness, anxiety, and exhaustion that accompany perinatal depression may produce or create difficulties to perform daily care activities for themselves and for their babies. Several risk factors predispose to depression during pregnancy are poor antenatal care, economic deprivation, previous history of psychiatric disorders, previous events during pregnancy like previous abortions, and modes of previous delivery like past instrumental or operative delivery age, marital status, gravidity, whether pregnancy was planned. Antenatal depression was the strongest indicator of postnatal depression. A hospital based cross sectional survey for duration of 4 months (December 2016 to March 2017) was performed in Lady Aitchison hospital Lahore. Pregnant women who visited to the obstetrics and gynecology departments for routine prenatal or perinatal care. Woman belongs to lower middle class was included and women with physical disabilities such as deafness and dumbness as well as those with a history of or ongoing mental illness/retardation was excluded in this study. Sampling was done by using convenience sampling technique and sample size was 300. Information regarding risk factors of antenatal depression was collected by using structured questionnaire and a screening tool, Edinburgh postnatal Depression Scale to assess depression after taking written consent. Data was obtained by face to face interview. Data was analyzed by using SPSS software with 95% confidence 85 interval. Descriptive analysis was conducted in terms of who, when and where. Frequency distribution and graphs were be made. Chi- Square test was applied to see the association of risk factors. Depression and various risk factors have been identified among pregnant woman. Association found among various risk factors like age, education of woman and husband, occupation of husband, Husband income, Family type, number of persons living in home, number of children’s, number of daughters, trimester of pregnancy, mode of delivery, pregnancy status, fear from childbirth, Bitter experience/Complication in current /previous Pregnancy and Family Support. Through assessment provide an opportunity in need of intervention to safeguard the well-being of mother and baby and reduce the impact of antenatal depression on the mother, her baby, and her family.
Tags from this library: No tags from this library for this title. Add tag(s)
Log in to add tags.
    average rating: 0.0 (0 votes)

Mental health is an important but neglected component of reproductive health. Mental health problems among women of reproductive age group (15–45 yrs.) contributes to 7% of Global Burden of Diseases of women of all ages. During pregnancy prevalence of depression ranges from 4% to 20%. Women with perinatal depression experience full-blown major depression during pregnancy or after delivery (postpartum depression). The feelings of extreme sadness, anxiety, and exhaustion that accompany perinatal depression may produce or create difficulties to perform daily care activities for themselves and for their babies. Several risk factors predispose to depression during pregnancy are poor antenatal care, economic deprivation, previous history of psychiatric disorders, previous events during pregnancy like previous abortions, and modes of previous delivery like past instrumental or operative delivery age, marital status, gravidity, whether pregnancy was planned. Antenatal depression was the strongest indicator of postnatal depression. A hospital based cross sectional survey for duration of 4 months (December 2016 to March 2017) was performed in Lady Aitchison hospital Lahore. Pregnant women who visited to the obstetrics and gynecology departments for routine prenatal or perinatal care. Woman belongs to lower middle class was included and women with physical disabilities such as deafness and dumbness as well as those with a history of or ongoing mental illness/retardation was excluded in this study. Sampling was done by using convenience sampling technique and sample size was 300. Information regarding risk factors of antenatal depression was collected by using structured questionnaire and a screening tool, Edinburgh postnatal Depression Scale to assess depression after taking written consent. Data was obtained by face to face interview. Data was analyzed by using SPSS software with 95% confidence
85
interval. Descriptive analysis was conducted in terms of who, when and where. Frequency distribution and graphs were be made. Chi- Square test was applied to see the association of risk factors. Depression and various risk factors have been identified among pregnant woman. Association found among various risk factors like age, education of woman and husband, occupation of husband, Husband income, Family type, number of persons living in home, number of children’s, number of daughters, trimester of pregnancy, mode of delivery, pregnancy status, fear from childbirth, Bitter experience/Complication in current /previous Pregnancy and Family Support. Through assessment provide an opportunity in need of intervention to safeguard the well-being of mother and baby and reduce the impact of antenatal depression on the mother, her baby, and her family.

There are no comments for this item.

Log in to your account to post a comment.


Implemented and Maintained by UVAS Library.
For any Suggestions/Query Contact to library or Email:[email protected] Phone:+91 99239068
Website/OPAC best viewed in Mozilla Browser in 1366X768 Resolution.