Articles Vol. 64 No. 6 21/10/2023

36. THE STATUS OF DEPRESSION AND SOME PERSONAL, FAMILIAL AND SOCIAL FACTORS AFFECTING POST-NATAL DEPRESSION IN MOTHERS OF PRETERM BIRTH AT TWO OBSTETRIC AND GYNECOLOGICAL HOSPITALS IN HANOI

Nong Minh Hoang1,2, Pham Phuong Lan1,2, Vu Van Du1,2, Vu Thi Thu Hien3,4
1 National Hospital of obstetrics and gynecology
2 Bệnh viện Phụ sản Trung ương
3 Hanoi Hospital of obstetrics and gynecology
4 Bệnh viện Phụ sản Hà Nội
Corresponding author: hoangnari@gmail.com
DOI: 10.52163/yhc.v64i6.844
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Keywords
Post-partum depression, preterm birth, EPDS.
Abstract

A multi-center descriptive study was conducted among 568 mother of preterm birth from March, 2023 to June, 2023.

Objectives: To describe the current status of depression and related factors to post-partum depression among mothers of preterm birth at National hospital of Obstetrics and Gynecology and Hanoi hospital of Obstetrics and Gynecology. Methodology: This is a cross-sectional study of 568 mother of preterm birth from 2 hospitals from March, 2023 to June, 2023 by using EPDS (Edinburgh Postnatal Depression Scale). The cut-off point of depression is 10.

Results: The rate of depression was 27,3%. Personal and maternal lifestyle were related factors to increase the risk of depression: age ≤ 35 (OR=1,9; 95%CI=1,1-3,3), single/divorced/widow (OR=4,6; 95%CI=1,1-19,3), unwell post-partum job (OR=3,0; 95%CI=1,6-5,9), frequent use of mobile devices (OR=1,7; 95%CI=1,1-2,6). Paternal factors that increased the risk of depression including mental violence (OR=4,7; 95%CI=1,7-13,1), physical violence (OR=2,8; 95%CI=1,1-7,1), no sympathy or sharing (OR=2,1; 95%CI=1,1-4,0), frequent arguement (OR=3,2; 95%CI=1,1-9,7), male favourite ((OR=1,8; 95%CI=1,1-2,9), husband’s care during pregnancy (OR=2,2; 95%CI=1,1-4,9). Fators from family and society that inscreased the risk of depression including male favourite (OR=3,1; 95%CI=1,2-7,8), no support from family members during and after birth (OR=2,8; 95%CI=1,1-7,5), no support from family members in case of difficulty (OR=3,7; 95%CI=1,3-10,8), no support from society in case of difficulty (OR=1,5; 95%CI=1,1-2,2).

Conclusion: Personal lifestyle, familial and social interventions and caring were required to decrease the rate of depression among preterm birth mothers.

References
[1]
WHO, WHO | The global burden of disease: Google Scholar
[2]
update. World Health Organization: World Google Scholar
[3]
Health Organization. Truy cập ngày 2/11/2020. Google Scholar
[4]
Tại trang web: https://www.who.int/healthinfo/ Google Scholar
[5]
global_burden_disease/2004_report_update/en/ Google Scholar
[6]
Sobocki P, Jönsson B, Angst J et al., Cost of Google Scholar
[7]
depression in Europe. J Ment Health Policy Econ Google Scholar
[8]
; 9:87–98. Google Scholar
[9]
Ihongbe TO, Masho SW, Do Successive Preterm Google Scholar
[10]
Births Increase the Risk of Postpartum Depressive Google Scholar
[11]
Symptoms? J Pregnancy 2017;2017:e4148136. Google Scholar
[12]
Trần Thơ Nhị, Thực trạng trầm cảm và hành vi Google Scholar
[13]
tìm kiếm sự hỗ trợ trợ phụ nữ mang thai, sau sinh Google Scholar
[14]
tại huyện Đông Anh, Hà Nội, Luận án Tiến sỹ Y Google Scholar
[15]
tế công cộng, Đại học Y Hà Nội, 2018. Google Scholar
[16]
Al-Modayfer O, Alatiq Y, Khair O et al., Google Scholar
[17]
Postpartum depression and related risk factors Google Scholar
[18]
among Saudi females; Int J Cult Ment Health Google Scholar
[19]
; 8:316–24. Google Scholar
[20]
Liu S, Yan Y, Gao X et al., Risk factors for Google Scholar
[21]
postpartum depression among Chinese women: Google Scholar
[22]
path model analysis. BMC Pregnancy Childbirth Google Scholar
[23]
;17. Google Scholar
[24]
Cox JL, Holden J, Henshaw C, Perinatal mental Google Scholar
[25]
health, the Edinburgh Postnatal Depression Scale Google Scholar
[26]
(EPDS) Manual, RCPsych Publications, 2014. Google Scholar
[27]
Barnett B, Matthey S, Gyaneshwar R, Screening Google Scholar
[28]
for postnatal depression in women of nonEnglish Google Scholar
[29]
speaking background; Arch Womens Google Scholar
[30]
Ment Health; 2(2), 1999, 67–74. Google Scholar
[31]
Rich JL, Byrne JM, Curryer C et al., Prevalence Google Scholar
[32]
and correlates of depression among Australian Google Scholar
[33]
women: a systematic literature review, January Google Scholar
[34]
- January 2010. BMC Res Notes 2013;6:424. Google Scholar
[35]
Bener A, Burgut FT, Ghuloum S et al., A study Google Scholar
[36]
of postpartum depression in a fast developing Google Scholar
[37]
country: prevalence and related factors; Int J Google Scholar
[38]
Psychiatry Med 2012; 43:325–37. Google Scholar