Original Article

IJMDC. 2022; 6(9): 1102-1110

Prevalence and predictors of postpartum depression among women in Alhasa Region, Saudi Arabia

Authors: Latteefah Saleh Alnaeem, Mohammed Ayoob Lone, Mohammed Ali Alshayeb, Ali Tawfiq Alamer, Mohammed Saeed AlRamadan, Abdulaziz Yousef Alahmed, Kadhem Hussain Alhaddad.

ABSTRACT

Background: Postpartum depression (PPD) is a prevalent affective condition and a major public health concern. PPD can remain unidentified and influence the newborn’s emotional and cognitive development, as well as the mother’s health, relationships, and bonding with her newborn. Methods: A community-based cross-sectional study was conducted among 417 women who had given birth within 1 year. Participants were interviewed using a semi-structured questionnaire and the Edinburgh Postnatal Depression Scale. Sociodemographic variables were analyzed using descriptive statistics, and the bivariate chisquare test was used to investigate the factors associated with PPD. Results: The prevalence of PPD was 32%. There was a significant association between PPD and the sex of the child; birth weight of the child; psychological support from family, friends, and husband; marital conflicts; and history of depression. Conclusion: The prevalence of PPD in Alhasa city was higher than previously thought in some regions of Saudi Arabia, highlighting the essential need to detect pregnant women at high risk of developing PPD so that their risk can be reduced and appropriate interventions can be implemented to treat the condition. The caregivers for these mothers should be aware of the available strategies for reducing the occurrence and effects of PPD. Intervention strategies to prevent and decrease PPD occurrence should focus on finding women with female newborn, low birth weight children, marital disputes, and weak social support networks.

Keywords:
Alhasa, Saudi Arabia, predictors, prevalence, postpartum depression


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Prevalence and predictors of postpartum depression among women in Alhasa Region, Saudi Arabia


Authors
Latteefah Saleh Alnaeem
Assistant professor, Department of Gynecology and Obstetrics, Alhasa, Saudi Arabia
PubMed articlesGoogle scholar articles

Mohammed Ayoob Lone
Assistant professor, Department of Neuroscience, King Faisal University, Alhasa, Saudi Arabia
PubMed articlesGoogle scholar articles

Mohammed Ali Alshayeb
Student, King Faisal University, Alhasa, Saudi Arabia
PubMed articlesGoogle scholar articles

Ali Tawfiq Alamer
Student, King Faisal University, Alhasa, Saudi Arabia
PubMed articlesGoogle scholar articles

Mohammed Saeed AlRamadan
Student, King Faisal University, Alhasa, Saudi Arabia
PubMed articlesGoogle scholar articles

Abdulaziz Yousef Alahmed
Student, King Faisal University, Alhasa, Saudi Arabia
PubMed articlesGoogle scholar articles

Kadhem Hussain Alhaddad
Student, King Faisal University, Alhasa, Saudi Arabia.
PubMed articlesGoogle scholar articles


Correspondence to:
. Latteefah Saleh Alnaeem, Assistant professor, Department of Gynecology and Obstetrics, Alhasa, Saudi Arabia.; latifa_alnaeem@hotmail.com

Publication history
Received 02 Jul 2022
Accepted 03 Sep 2022
Published online 15 Sep 2022
Published in print 23 Sep 2022

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Pubmed Style

Alnaeem LS, Lone MA, Alshayeb MA, Alamer AT, AlRamadan MS, Alahmed AY, Alhaddad KH. Prevalence and predictors of postpartum depression among women in Alhasa Region, Saudi Arabia. IJMDC. 2022; 6(9): 1102-1110. doi:10.24911/IJMDC.51-1656780012


Web Style

Alnaeem LS, Lone MA, Alshayeb MA, Alamer AT, AlRamadan MS, Alahmed AY, Alhaddad KH. Prevalence and predictors of postpartum depression among women in Alhasa Region, Saudi Arabia. https://www.ijmdc.com/?mno=74501 [Access: December 03, 2022]. doi:10.24911/IJMDC.51-1656780012


AMA (American Medical Association) Style

Alnaeem LS, Lone MA, Alshayeb MA, Alamer AT, AlRamadan MS, Alahmed AY, Alhaddad KH. Prevalence and predictors of postpartum depression among women in Alhasa Region, Saudi Arabia. IJMDC. 2022; 6(9): 1102-1110. doi:10.24911/IJMDC.51-1656780012


Vancouver/ICMJE Style

Alnaeem LS, Lone MA, Alshayeb MA, Alamer AT, AlRamadan MS, Alahmed AY, Alhaddad KH. Prevalence and predictors of postpartum depression among women in Alhasa Region, Saudi Arabia. IJMDC. (2022), [cited December 03, 2022]; 6(9): 1102-1110. doi:10.24911/IJMDC.51-1656780012


Harvard Style

Alnaeem, L. S., Lone, . M. A., Alshayeb, . M. A., Alamer, . A. T., AlRamadan, . M. S., Alahmed, . A. Y. & Alhaddad, . K. H. (2022) Prevalence and predictors of postpartum depression among women in Alhasa Region, Saudi Arabia. IJMDC, 6 (9), 1102-1110. doi:10.24911/IJMDC.51-1656780012


Turabian Style

Alnaeem, Latteefah Saleh, Mohammed Ayoob Lone, Mohammed Ali Alshayeb, Ali Tawfiq Alamer, Mohammed Saeed AlRamadan, Abdulaziz Yousef Alahmed, and Kadhem Hussain Alhaddad. 2022. Prevalence and predictors of postpartum depression among women in Alhasa Region, Saudi Arabia. International Journal of Medicine in Developing Countries, 6 (9), 1102-1110. doi:10.24911/IJMDC.51-1656780012


Chicago Style

Alnaeem, Latteefah Saleh, Mohammed Ayoob Lone, Mohammed Ali Alshayeb, Ali Tawfiq Alamer, Mohammed Saeed AlRamadan, Abdulaziz Yousef Alahmed, and Kadhem Hussain Alhaddad. "Prevalence and predictors of postpartum depression among women in Alhasa Region, Saudi Arabia." International Journal of Medicine in Developing Countries 6 (2022), 1102-1110. doi:10.24911/IJMDC.51-1656780012


MLA (The Modern Language Association) Style

Alnaeem, Latteefah Saleh, Mohammed Ayoob Lone, Mohammed Ali Alshayeb, Ali Tawfiq Alamer, Mohammed Saeed AlRamadan, Abdulaziz Yousef Alahmed, and Kadhem Hussain Alhaddad. "Prevalence and predictors of postpartum depression among women in Alhasa Region, Saudi Arabia." International Journal of Medicine in Developing Countries 6.9 (2022), 1102-1110. Print. doi:10.24911/IJMDC.51-1656780012


APA (American Psychological Association) Style

Alnaeem, L. S., Lone, . M. A., Alshayeb, . M. A., Alamer, . A. T., AlRamadan, . M. S., Alahmed, . A. Y. & Alhaddad, . K. H. (2022) Prevalence and predictors of postpartum depression among women in Alhasa Region, Saudi Arabia. International Journal of Medicine in Developing Countries, 6 (9), 1102-1110. doi:10.24911/IJMDC.51-1656780012


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