Correlation between postpartum depression and spousal support and factors affecting postpartum depression

Kızılırmak, Aynur; Calpbinici, Pelin; Tabakan, Gülin

doi:10.1080/07399332.2020.1764562

Cited by 21 publications

(17 citation statements)

References 36 publications

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“…Besides, infant characteristics like adverse birth and infant health outcomes (22), di cult temperament(23) and unwanted gender (24) are risk factors. Mothers with poor physical health (25), poor obstetric histories(26), unplanned pregnancy (27), and a history of psychiatric illness (28) are likely to have PND. Moreover, poor environmental conditions (29) and cultural practices (30), (31) are also PND predictors.…”

Section: Introductionmentioning

confidence: 99%

Predictors of Postnatal Depression in the Slums Nairobi, Kenya: A Cross-Sectional Study

Kariuki

Kuria

Were

et al. 2021

Preprint

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BackgroundPostnatal depression (PND) is a universal mental health problem that prevents mothers' optimal existence and mothering. Although research has shown high PND prevalence rates in Africa, including Kenya, little research has been conducted to determine the contributing factors, especially in low-resource communities.ObjectiveThis study aimed to investigate the PND risk factors among mothers attending Maternal and Child Health Clinics (MCH) in the slums, Nairobi.MethodsThis study is cross-sectional, which is a part of a larger study. A sample of 567 mothers of 6-10 weeks postnatal from two Maternal and Child Health (MCH) formed the study population. The Depression rate was measured using the original 1961 Beck's Depression Inventory (BDI). In addition, a sociodemographic questionnaire (SDQ) was used to collect hypothesized risk variables. Results The PND prevalence rate was 27.1%. Women with: unplanned pregnancy (AOR=1.87, 95% CI 1.02, 3.43), unemployed (AOR=4.43, 95% CI 1.01, 19.76), dissatisfied with body image (AOR=2.51, 95% CI 1.21, 5.19) and feeling fatigued (AOR=2.02, 95% CI 1.06, 3.85) had higher odds of developing PND. ConclusionThis study builds upon scarce previous studies on PND from low-income countries. Identifying specific PND risk factors may help in devising targeted prophylactic and therapeutic strategies.

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Section: Introductionmentioning

confidence: 99%

Predictors of Postnatal Depression in the Slums Nairobi, Kenya: A Cross-Sectional Study

Kariuki

Kuria

Were

et al. 2021

Preprint

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“…[5,20] Decreased spousal support is associated with postpartum depression. [3,7,21,22] In a meta-analysis examining the risk factors affecting PPD, the spouse/father support was the risk factor with the greatest impact. [5] Results in our study revealed that women who are dissatisfied/partially satisfied with their relationship with their spouses and whose spouse is unemployed have higher depression scores, in accordance with the literature.…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, mothers need more support within the first weeks after delivery. [3,4] The physical, social, and emotional support the spouse would provide would be important for the physical and mental well-being of the mother, her adaptation to the role of motherhood, and the breastfeeding process. [4] The changeover to motherhood and the adaptation process may increase the risk of developing various emotional and anxiety disorders in some women.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the correlation between spousal support, postpartum depression, and breastfeeding self-efficacy in the postpartum period

Uğurlu

Karahan

ARSLAN

et al. 2023

Journal of Contemporary Medicine

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Aim: This study aimed to determine the correlation between spousal support, postpartum depression (PPD), and breastfeeding self-efficacy (BSES) in the postpartum period. Methods: This descriptive correlational study was performed on 300 postpartum women. Data collected with using The Perceived Spousal Support among Women in Early Postpartum Period Scale (PSSAWEPP), The Edinburgh Postpartum Depression Scale (EPDS) and Postpartum Breastfeeding Self-Efficacy Scale-Short Form (BSES-SF). Results: There was a negative correlation between women's perceived level of spousal support and their postpartum depression (PPD) status (p

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“…Besides, infant characteristics like adverse birth and infant health outcomes [ 3 ], difficult temperament [ 18 ], and unwanted gender [ 19 ] are risk factors. Mothers with poor physical health [ 20 ], poor obstetric histories [ 21 ], unplanned pregnancy [ 22 ], and a history of psychiatric illness [ 23 ] are likely to have PND. Moreover, poor environmental conditions [ 24 ] and cultural practices [ 25 , 26 ] are also PND predictors.…”

Section: Introductionmentioning

confidence: 99%

Predictors of postnatal depression in the slums Nairobi, Kenya: a cross-sectional study

et al. 2022

View full text Add to dashboard Cite

Background Postnatal depression (PND) is a universal mental health problem that prevents mothers’ optimal existence and mothering. Although research has shown high PND prevalence rates in Africa, including Kenya, little research has been conducted to determine the contributing factors, especially in low-resource communities. Objective This study aimed to investigate the PND risk factors among mothers attending Lang’ata and Riruta Maternal and Child Health Clinics (MCH) in the slums, Nairobi. Methods This study was cross-sectional. It is part of a large study that investigated the effectiveness of a brief psychoeducational intervention on PND. Postnatal mothers (567) of 6-10 weeks postanatal formed the study population. Depression rate was measured using the original 1961 Beck’s Depression Inventory (BDI). In addition, a sociodemographic questionnaire (SDQ) was used to collect hypothesized risk variables. Multivariable logistic regression analysis was used to explore predictors of PND. Results The overall prevalence of PND in the sample of women was 27.1%. Women aged 18-24 (β = 2.04 95% C.I.[0.02; 4.05], p = 0.047), dissatisfied with body image (β = 4.33 95% C.I.[2.26; 6.41], p < 0.001), had an unplanned pregnancy (β = 2.31 95% C.I.[0.81; 3.80], p = 0.003 and felt fatigued (β = − 1.85 95% C.I.[− 3.50; 0.20], p = 0.028) had higher odds of developing PND. Participants who had no stressful life events had significantly lower depression scores as compared to those who had stressful life events (β = − 1.71 95% C.I.[− 3.30; − 0.11], p = 0.036) when depression was treated as a continuous outcome. Sensitivity analysis showed that mothers who had secondary and tertiary level of education had 51 and 73% had lower likelihood of having depression as compared to those with a primary level of education (A.O.R = 0.49 95% C.I.[0.31-0.78], p = 0.002) and (A.O.R = 0.27 95% C.I.[0.09-0.75], p = 0.013) respectively. Conclusion This study reveals key predictors/risk factors for PND in low-income settings building upon the scanty data. Identifying risk factors for PND may help in devising focused preventive and treatment strategies.

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Correlation between postpartum depression and spousal support and factors affecting postpartum depression

Cited by 21 publications

References 36 publications

Predictors of Postnatal Depression in the Slums Nairobi, Kenya: A Cross-Sectional Study

Predictors of Postnatal Depression in the Slums Nairobi, Kenya: A Cross-Sectional Study

Evaluation of the correlation between spousal support, postpartum depression, and breastfeeding self-efficacy in the postpartum period

Predictors of postnatal depression in the slums Nairobi, Kenya: a cross-sectional study

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