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Abstract

Despite epidemiologic studies demonstrating the increased incidence of paternal postpartum depression, their emotional health is overlooked throughout their partner’s pregnancy and postpartum period as postpartum depression has been traditionally construed as a disease of women. Traditional masculinity norms also result in a lack of recognition and barriers to the treatment of depression in men. This study is aimed to determine the prevalence and factors of paternal postpartum depression among fathers whose wives gave birth. A community-based cross-sectional study was conducted from July 7 to 17, 2023. The 288 sample size was estimated using a single population proportion formula and selected by random sampling technique. The data were exported from Kobo Toolbox and analyzed using SPSS version 26. Candidate variables were identified in bivariate at p < .25 for the multivariate analysis. A p < .05 and adjusted odds ratio (AOR) were used to determine the significance. A total of 280 partners participated making a 97.22% response rate. Paternal postpartum depression was 19.6%(95% confidence interval [CI] = [15.4%, 24.3%]). It was significantly associated with history of depression (AOR = 4.4, 95% CI = [1.7, 10.9]), unplanned pregnancy (AOR = 4.7, 95% CI = [1.9, 11.3]), alcohol consumption (AOR: 3.0, 95% CI = [1.3, 7.4]), infant sleeping problem (AOR: 3.0, 95% CI = [1.1, 8.9]), and mode of delivery (AOR: 3.0, 95% CI = [1.3, 7.6]). This study concluded that paternal postpartum depression was high. The researchers recommended the inclusion of men’s mental health services like screening into women’s postnatal health care.

Keywords

paternal postpartum depression postpartum depression postpartum period Edinburgh Postnatal Depression Scale

Background

Postnatal depression is a nonpsychotic depressive disorder that occurs after the birth of a child, and it has been defined as a “downward spiral” and a “living nightmare” (Wood et al., 1997). During the postnatal period, men’s health can be influenced by many factors, leading to a greater sense of personal responsibility. It is a critical time that requires adjustments and may pose a risk for depression (Wang et al., 2021).

It is well established that fatherhood has a long-term positive and protective effect on men’s health. However, there is evidence that indicates men’s condition can be complex and demanding during the postnatal period which can lead to distress, anxiety, and increased risk of experiencing paternal postpartum depression (Philpott & Corcoran, 2018; Wang et al., 2021; Zhang et al., 2016).

In 2020, the pooled prevalence of paternal postpartum depression among fathers was 9.76% worldwide during the first year of their childbirth (Rao et al., 2020). The Global Burden of Diseases Study analyzed the data from 17 low- and middle-income countries (LMICs) and indicated that the prevalence of paternal postnatal depression was 18.4% (GBD 2015 Disease and Injury Incidence and Prevalence Collaborators, 2016). In Addis Ababa, Ethiopia, the magnitude of paternal postpartum depression was 19.3% during the first 6 to 8 weeks of child delivery in health facilities (Tuji et al., 2023). Even though a significant number of men experience depression after the childbirth of their wives, this phenomenon mostly remained less exposed and persisted affecting men as well as their families adversely (Shariat et al., 2022).

Paternal postpartum depression affects not only the mental health and well-being of fathers but also their partners and children in different dimensions (Fisher, 2017). The consequences of paternal postpartum depression include continued depression of the father, partner relationship problems, negative parenting, infant bonding problems, and developmental effects on infants, toddlers, preschoolers, grade school children, and adolescents (Barry et al., 2023; Field, 2018). Depression experienced by fathers is related to the future emotional and behavioral problems of the children (Challacombe et al., 2023; Leiferman et al., 2021).

Several factors contribute to the development of paternal postpartum depression. These factors can be infant-related, paternal factors, maternal factors, and family factors. Paternal unemployment, low social support, paternal negative life events, perceived stress, financial strain, history of mental illness, wives’ parity, maternal postnatal depression, low marital satisfaction, and infants’ sleep problems increase the risk of paternal postpartum depression (Fang et al., 2019; Wang et al., 2021). Psychological and social factors such as stress during pregnancy or delivery and quality of adjustment to life changes are strongly related to paternal postpartum depressive mood disorders (Yim et al., 2015).

It was suggested that paternal postpartum depression screening should be an essential aspect of optimal care for the fathers and the entire family dynamic (Curry et al., 2019; Kennedy & Munyan, 2021). However, men’s emotional health is overlooked during their partner’s pregnancy and throughout the first postpartum year as postpartum depression has been traditionally construed as a disease of women. Furthermore, epidemiologic studies have demonstrated that the incidence of depression in men is markedly underestimated because of diagnostic bias where the men, the community, local health professionals, and researchers may also not consider men could suffer from postpartum depression unlike women (Eddy et al., 2019; Scarff, 2019). The majority of studies in Ethiopia also focused on maternal depression. There is a scarcity of studies on paternal postpartum depression (Asaye et al., 2020; Ayen et al., 2024; Zegeye et al., 2018). Traditional masculinity norms also result in a lack of recognition and barriers to the treatment of postpartum depression in men (Seidler et al., 2016; Staiger et al., 2020).

In sub-Saharan African countries including Ethiopia, there is low consideration of paternal postpartum depression and the previous researchers recommended further consideration of this case (Kerie et al., 2018). Little is known about paternal postpartum depression in Ethiopia. This study was proposed to determine the prevalence and associated factors of paternal postpartum depression among fathers whose wives gave birth in the last 6 months in Seka town, Southwest Ethiopia.

Method and Materials

Study Area and Period

This study was conducted in Seka Chekorsa Town in Jimma Zone, Oromia region of Ethiopia. It is located 20 km away from Jimma town, the Jimma Zone’s capital town, and 370 km from Addis Ababa the capital city of Ethiopia. According to population projection data, Seka Chekorsa District’s total population was 310,721 in 2023, whereas Seka Town’s population was 43,822. Of these, 25,476 were males and 18,346 were females. Seka Town has two urban Kebeles and two public health institutions. The study was conducted from July 7 to 17, 2023.

Study Design and Population

A community-based cross-sectional study design was employed. The study population for this study was all the randomly selected male partners whose wives gave birth and were living in Seka town during the study period. Partners were included in the study with the criteria of being partners of wives who gave birth within the preceding 6 months and living with the women since her conception.

Sample Size Determination and Sampling Technique

The sample size was determined using a single population formula: n = (Z_α/2)2p(1 −p)/d ², where “n” is the minimum required sample size, “Z_α/2” is the standard score value for a 95% confidence level (CI) for two-tail normal distribution, “p” is the population proportion of paternal postpartum depression (19.3%) (Tuji et al., 2023), and “d” is the margin of error. Adding 20% for the nonresponse rate, the final sample size became 288.

A systematic random sampling technique was used to select the required sample size from source populations. The sample was allocated proportionally to each Kebeles based on the number of partners whose wives gave birth in the preceding 6 months. The data on the number the partners were obtained from the Town’s health management information system and each kebeles’ health extension workers’ folder. Based on the total number of deliveries in each kebeles, the sampling interval was calculated, and the sample was taken every two intervals after the selection of the first partner by lottery method.

Data Collection and Analysis

A structured interviewer-administrated questionnaire was adopted and adapted from relevant literature and translated into Afan Oromo—a language in the study area (Ayinde & Lasebikan, 2019; Cox et al., 1987; Wang et al., 2021). A pretest was performed in Shabe Sombo Town. One supervisor and three data collectors (two health extension workers and one BSc midwife) were trained for data collection. Data were collected from study participants at their homes through interview-administered face-to-face interviews using the Kobo toolbox software. The data were exported from the Kobo toolbox to Excel and then to IBM SPSS version 26 software for analysis.

Descriptive statistics were done to get frequencies, percentages, and cross-tabulations. The Hosmer–Lemeshow model fitness for goodness-of-fit test was checked. Binary logistic regression analysis was employed to identify candidate variables for multiple logistic regressions. Finally, the presence of an association of independent variables with paternal postpartum depression was declared at p < .05 with AORs at 95% CI in multivariable analysis.

Paternal postpartum depression was measured using the Edinburgh Postnatal Depression Scale, and the fathers were considered as having depression when they scored ≥10 (Edmondson et al., 2010).

Ethical Consideration

Ethical clearance was obtained from the Institutional Review Board (IRB) of Jimma University Institute of Health with the reference number JUIH/IRB/467/23. Informed verbal consent was obtained from all study participants. Verbal consent was taken considering that all the study participants were adults (aged at least 20 years) who could decide based on the given information, the study was focused on a nonsensitive topic, the study had no sample collection procedure (no specimens collection), and the researchers used an application for the data collection procedure. Before going for the verbal consent, the participants were informed about the objective of the study, possible risks (such as the time the interview might take), and the benefits of the study to themselves, their communities, and the researchers. After receiving this information, participants were allowed to ask questions or express any doubts. The main researcher’s contact information was provided for future reference. Finally, participants were asked if they agreed to participate in the study. When the men agreed to proceed, the data collector marked a “☑” next to the “Yes” option on the tablet for the question “Do you agree to participate in the study?” before going to the interview.

Participants were informed that the data would be kept private and confidential and used only for research purposes. The participants were also assured that they had the right to refuse or withdraw if they were not comfortable with the question at any time during the interview. Personal privacy was respected, and no personal identifier was used on the questionnaire. The study was conducted according to the IRB’s guideline.

Results

Socio-Demographic Characteristics and Paternal Characteristics

Two hundred and eighty partners successfully participated in the study making a response rate of 97.22%. About 159 (56.8%) of the partners have three to four children. Nearly one-third (76, 27.1%) of them consume alcohol, and 50 (17.5%) of them have a history of depression (Table 1).

Table 1.

Socio-Demographic and Paternal Characteristics of Study Men

Variables	Category	Frequencies	Percent
Age	20–24	10	3.6
	25–29	68	24.8
	30–34	74	26.4
	35–39	77	27.5
	40–44	38	13.6
	45–49	13	4.6
Religion	Orthodox	58	20.7
	Muslim	191	68.2
	Protestant	31	11.1
Educational status	No formal education	21	7.4
	Read and write	71	25.4
	Primary	58	20.7
	Secondary	57	20.4
	Higher education	73	26.1
Employment	Government employed	92	32.9
	Unemployed	5	1.8
	Farmer	72	25.7
	Merchant	104	37.1
	Other	7	2.5
Employment status	Permanent	244	87.1
Employment status	Temporary	36	12.9
Income	<1,650	3	1.1
	1,651–3,200	5	1.8
	3,201–5,250	58	20.4
	5,251–7,800	102	35.8
	7,801–10,900	96	33.7
	>10,900	16	5.6
Number of children	1–2	123	43.2
Number of children	3–4	157	56.8
History of depression	Yes	50	17.5
History of depression	No	230	82.5
Alcohol consumption	Yes	76	27.1
Alcohol consumption	No	204	72.9
Comfort to income	Yes	62	21.8
Comfort to income	No	218	78.2

Relationship-Related Characteristics

All of the partners were married and almost all of them 279 (99.3%) were living together with their partner, whereas only one partner (0.7%) was living separately during the data collection. Two hundred and sixty-nine (95.2%) partners were monogamous. Almost all of the partners 257 (90.2%) had a good relationship with their partners and support from friends 224 (79.4%) (Figure 1).

Figure 1.

Relationship-Related Characteristics of Study Participants

Infant and Environmental-Related Characteristics

The majority of the partners 235 (83.3%) were living in their own homes. A rare number (33, 12.4%) of the respondents’ spouses delivered their babies at their mothers or families’ homes. Infant sleeping problems and current and previous child loss were 34 (12.7%), 5 (2.3%), and 38 (14.1%), respectively. Regarding the newborns, 254 (90.7%) of newborns were single, and 163 (58%) of pregnancies were planned. Infants born with congenital problems were three (1%) (Table 2).

Table 2.

Distribution of Infant and Environmental Characteristics Among the Study Participants

Variables	Category	Frequencies	Percent
The wife went to the parent’s house for delivery	Yes	33	12.4
The wife went to the parent’s house for delivery	No	247	87.6
Housing	Own home	235	83.3
Housing	Rental	45	16.7
Planned pregnancy	Yes	163	58
Planned pregnancy	No	117	42
ANC follow-up	Yes	96	34.5
ANC follow-up	No	184	65.5
Mode of delivery	SVD	194	68.6
	C/S	76	27.7
	Other	10	3.7
Accompany partner at delivery of your child	Yes	215	76.2
Accompany partner at delivery of your child	No	65	23.8
Gestational age	Preterm	8	3.6
	Term	248	87.5
	Post-term	24	8.9
Congenital birth problems	Yes	3	1
Congenital birth problems	No	277	99
Infant sleeping problem	Yes	34	12.7
Infant sleeping problem	No	246	88.3
Previous history of child loss	Yes	38	14.1
Previous history of child loss	No	242	85.9
Loss of a current child	Yes	5	2.3
Loss of a current child	No	275	97.7
Birth status of the newborn	Single	254	90.7
	Twins	25	8.9
	Triplets	1	0.4

Prevalence of Paternal Postpartum Depression

The score of about one-fourth of the partners was above the cutoff point, and hence, the prevalence of paternal postpartum depression was 19.6% (95% CI = [15.4%, 24.3%]) (Figure 2).

Figure 2.

Prevalence of Paternal Postpartum Depression in Seka Town, Jimma Zone

Factors Associated With Paternal Postpartum Depression

Bivariate analysis was performed to identify candidate variables for multivariate analysis at p < .25. Accordingly, variables such as birth status of the newborn, family income, comfort to family income, cigarette smoking, alcohol consumption, history of depression, chat chewing, relationship with parents, friend support, family support, number of wives, happiness to baby sex order, history of family mental illness, partner support, mode of delivery, gestational age, housing condition, unplanned pregnancy, attending antenatal checkup with a partner, infant sleeping problems, and child loss before the birth of this child were identified for multivariable model.

In multivariable analysis, five variables were significantly associated with paternal postpartum depression. Thus, partners who had a history of depression were about four times (AOR = 4.4, 95% CI = [1.7, 10.9]) more likely to have paternal postpartum depression than partners who did not have a history of depression. The odds of paternal postpartum depression were nearly five times higher (AOR = 4.7; 95% CI = [1.9, 11.3]) among partners of women who had unplanned pregnancies than their counterparts.

Partners who currently drink alcohol had three times increased odds of developing depression compared to partners who did not drink (AOR = 3.0; 95% CI = [1.3, 7.4]). In comparison to fathers who did not have newborn sleeping problems, the odds of paternal postpartum depression were three times higher among those whose newborn had sleeping problems (AOR = 3.0; 95% CI = [1.1, 8.9]). Partners whose wives delivered a child by cesarean section were three times more likely to develop paternal postpartum depression than those whose wives delivered by spontaneous vaginal mode (AOR = 3.0, 95% CI = [1.3, 7.6]) (Table 3).

Table 3.

Multivariate Logistic Regression Analysis Result of Paternal Postpartum Depression Among Partners of Women Who Gave Birth in the Last 6 Months in Seka Town

Variables	Category	Paternal PPD		COR [95% CI]	AOR [95% CI]
Variables	Category	Yes (%)	No (%)	COR [95% CI]	AOR [95% CI]
History of depression	Yes	20 (40)	30 (60)	0.2 [0.1, 0.5]	4.4 [1.7, 10.9]^a
History of depression	No	35 (15.2)	195 (84.8)	1	1
Pregnancy planned	Yes	18 (11.1)	145 (88.9)	1	1
Pregnancy planned	No	37 (31.6)	80 (68.4)	3.7 [1.9, 6.9]	4.7 [1.9, 11.3]^a
Alcohol	Yes	26 (34.2)	50 (65.8)	0.3 [0.1, 0.5]	3.0 [1.3, 7.4]^a
Alcohol	No	29 (14.2)	175 (85.8)	1	1
Infant sleep problem	Yes	17 (50)	17 (50)	0.1 [0.08, 0.3]	3.0 [1.1, 8.9]^a
Infant sleep problem	No	38 (15.5)	208 (84.5)	1	1
Mode of delivery	Spontaneous delivery	27 (14)	167 (86)	1	1
Mode of delivery	Cesarean section	25 (32.6)	58 (67.4)	1.8 [1.1, 3.0]	3 [1.3, 7.6]^a

COR = crude odds ratio, AOR = adjusted odds ratio, 1 = reference variable.

Significant variables.

Discussion

This study planned to determine the prevalence and factors associated with paternal postnatal depression among partners of women who gave birth in Seka town, Ethiopia. A significant number (19.6%) of partners had symptoms of depression showing that a substantial number of partners were suffering from paternal postpartum depression. This finding goes in line with findings from studies conducted in different parts of the world, for example, 17% in Japan (Suto et al., 2016), 16.6% in Saudi Arabia (Shaheen et al., 2019), 17.8% in Nigeria (Ayinde & Lasebikan, 2019), 19.3% in Addis Ababa of Ethiopia (Tuji et al., 2023), and 19% in Ethiopia community-based studies (Ayinde & Lasebikan, 2019).

On the contrary, the finding of this study is lower compared to the paternal postpartum depression (28%) in Uganda (Huang et al., 2017). This difference could be due to the difference in the tool used to measure the partners’ depression status where this study used the Edinburg depression scale while the others used the Patient Health Questionnaire that was validated for Ugandan adults.

Factors Associated With Paternal Postpartum Depression

The finding of this study identified that partners who had a history of depression had a higher risk of experiencing paternal postpartum depression. This significance is supported by the study conducted in Japan (Suto et al., 2016). The association could be because stress and previous depression exacerbate and amplify depression. Paternal postpartum depression is more likely to occur in people with a history of depression (Qobadi et al., 2016). It was also concluded that stressed-out fathers were more likely to have depressive symptoms (Shariat et al., 2022).

Having unplanned pregnancies among wives was significantly associated with paternal postpartum depression. This finding is in line with a study conducted in Nigeria (Ayinde & Lasebikan, 2019). Unplanned pregnancy leads to unplanned delivery that can impact the social, economic, and cultural aspects of the modern life of the fathers (Brown & Eisenberg, 1995). Unplanned pregnancies can lead to an increased risk of mental health issues in fathers after childbirth as it can impose an identifiable risk for mental health problems (Smith et al., 2023).

The odds of paternal postpartum depression were significantly higher among alcohol-consumer partners. This might be because drinking alcohol affects the brain in many ways, and it is likely to cause and aggravate feelings of depression during intoxication and the subsequent withdrawal (Tipple et al., 2016).

Partners having an infant with sleeping problems were more significantly faced paternal postpartum depression. This result is consistent with the findings of studies conducted in Ireland (Philpott & Corcoran, 2018) and Western China (Zhang et al., 2016). Infant sleeping problems can be a problem for the fathers not to sleep enough during the postpartum period. Also, the partners may become worried about the healthiness of the child, and this might cause them to develop depression. The sleeping problem can be the exacerbator, relapsing factor, and symptoms of depression in human beings (Fang et al., 2019). The links between infant sleeping problems and parents’ postpartum depression are bidirectional and dynamic, so poor infant sleep may influence parental behaviors and poor infant sleep appears to be a family stressor and a risk factor for depression (Fang et al., 2019; Meerlo et al., 2015; Symon & Crichton, 2017).

This study revealed that the partners of wives who gave birth by cesarean section were more likely to have paternal postpartum depression. Evidence also indicates that any type of cesarean section delivery increases the risk of family postpartum depression (Xu et al., 2017). Cesarean section delivery increases the risk of postpartum depression by violating expectations about childbirth (Lobel & DeLuca, 2007).

Limitation

Although our study offers unique insights into how postpartum depression can affect partners of women who gave birth, the data collection method, which involved interviewer-administered questionnaires, may have introduced bias. While our study relied on an important study area in the country, these data are limited from sorting the study population into first-time fathers and those that fathered many children, the early period after child delivery, and lately, at 6 months.

Conclusions

Paternal postpartum depression within 6 months of child delivery was high among partners whose wives gave birth in Seka Town. Alcohol consumption, having a previous history of depression, unplanned pregnancy, having a child with an infant sleeping problem, and mode of delivery are an identified significant predictor of paternal postpartum depression in the study area. The authors like to recommend research that explores the lived experiences of fathers with paternal postpartum depression including their coping mechanisms. Also, it is recommended for the consideration of postnatal follow-up that includes mental and reproductive health screening and counseling services for fathers and to create awareness about postnatal depression among the fathers of newborns where possible.

Footnotes

Declaration of Conflicting Interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The authors disclosed that the first author received a small amount of funding for data collection from Jimma University.

ORCID iD

Bekelu Teka Worku

References

Asaye

M. M.

Muche

H. A.

Zelalem

E. D.

(2020). Prevalence and predictors of postpartum depression: Northwest Ethiopia. Psychiatry Journal, 2020, 9565678.

Ayen

S. S.

Kasahun

A. W.

Zewdie

(2024). Depression during pregnancy and associated factors among women in Ethiopia: A systematic review and meta-analysis. BMC Pregnancy and Childbirth, 24(1), Article 220.

Ayinde

Lasebikan

V. O.

(2019). Factors associated with paternal perinatal depression in fathers of newborns in Nigeria. Journal of Psychosomatic Obstetrics & Gynecology, 40(1), 57–65.

Barry

K. M.

Gomajee

Benarous

Dufourg

M.-N.

Courtin

Melchior

(2023). Paternity leave uptake and parental post-partum depression: Findings from the ELFE cohort study. The Lancet Public Health, 8(1), e15–e27.

Brown

S. S.

Eisenberg

(Eds.). (1995). Consequences of unintended pregnancy. In The best intentions: Unintended pregnancy and the well-being of children and families. National Academies Press.

Challacombe

F. L.

Pietikäinen

J. T.

Kiviruusu

Saarenpää-Heikkilä

Paunio

Paavonen

E. J.

(2023). Paternal perinatal stress is associated with children’s emotional problems at 2 years. Journal of Child Psychology and Psychiatry, 64(2), 277–288.

Cox

J. L.

Holden

J. M.

Sagovsky

(1987). Detection of postnatal depression: Development of the 10-item Edinburgh Postnatal Depression Scale. The British Journal of Psychiatry, 150(6), 782–786.

Curry

S. J.

Krist

A. H.

Owens

D. K.

Barry

M. J.

Caughey

A. B.

Davidson

K. W.

. . .Kemper

A. R.

(2019). Interventions to prevent perinatal depression: US preventive services task force recommendation statement. Journal of the American Medical Association, 321(6), 580–587.

Eddy

Poll

Whiting

Clevesy

(2019). Forgotten fathers: Postpartum depression in men. Journal of Family Issues, 40(8), 1001–1017.

10.

Edmondson

O. J.

Psychogiou

Vlachos

Netsi

Ramchandani

P. G.

(2010). Depression in fathers in the postnatal period: Assessment of the Edinburgh Postnatal Depression Scale as a screening measure. Journal of Affective Disorders, 125(1–3), 365–368.

11.

Fang

Sheng

Shao

(2019). Depression in sleep disturbance: A review on a bidirectional relationship, mechanisms and treatment. Journal of Cellular and Molecular Medicine, 23(4), 2324–2332.

12.

Field

(2018). Paternal prenatal, perinatal and postpartum depression: A narrative review. Journal of Anxiety & Depression, 1(1), 1–16.

13.

Fisher

S. D.

(2017). Paternal mental health: Why is it relevant? American Journal of Lifestyle Medicine, 11(3), 200–211.

14.

GBD 2015 Disease and Injury Incidence and Prevalence Collaborators. (2016). Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990–2015: A systematic analysis for the Global Burden of Disease Study 2015. The Lancet, 388(10053), 1545–1602.

15.

Huang

K.-Y.

Abura

Theise

Nakigudde

(2017). Parental depression and associations with parenting and children’s physical and mental health in a sub-Saharan African setting. Child Psychiatry & Human Development, 48, 517–527.

16.

Kennedy

Munyan

(2021). Sensitivity and reliability of screening measures for paternal postpartum depression: An integrative review. Journal of Perinatology, 41(12), 2713–2721.

17.

Kerie

Menberu

Niguse

(2018). Prevalence and associated factors of postpartum depression in Southwest, Ethiopia, 2017: A cross-sectional study. BMC Research Notes, 11, Article 623.

18.

Leiferman

J. A.

Farewell

C. V.

Jewell

Lacy

Walls

Harnke

Paulson

J. F.

(2021). Anxiety among fathers during the prenatal and postpartum period: A meta-analysis. Journal of Psychosomatic Obstetrics & Gynecology, 42(2), 152–161.

19.

Lobel

DeLuca

R. S.

(2007). Psychosocial sequelae of cesarean delivery: Review and analysis of their causes and implications. Social Science & Medicine, 64(11), 2272–2284.

20.

Meerlo

Havekes

Steiger

(2015). Chronically restricted or disrupted sleep as a causal factor in the development of depression. Sleep, Neuronal Plasticity and Brain Function, 25, 459–481.

21.

Philpott

L. F.

Corcoran

(2018). Paternal postnatal depression in Ireland: Prevalence and associated factors. Midwifery, 56, 121–127.

22.

Qobadi

Collier

Zhang

(2016). The effect of stressful life events on postpartum depression: Findings from the 2009–2011 Mississippi pregnancy risk assessment monitoring system. Maternal and Child Health Journal, 20, 164–172.

23.

Rao

W.-W.

Zhu

X.-M.

Zong

Q.-Q.

Zhang

Hall

B. J.

Ungvari

G. S.

Xiang

Y.-T.

(2020). Prevalence of prenatal and postpartum depression in fathers: A comprehensive meta-analysis of observational surveys. Journal of Affective Disorders, 263, 491–499.

24.

Scarff

J. R.

(2019). Postpartum depression in men. Innovations in Clinical Neuroscience, 16(5–6), 11–14.

25.

Seidler

Z. E.

Dawes

A. J.

Rice

S. M.

Oliffe

J. L.

Dhillon

H. M.

(2016). The role of masculinity in men’s help-seeking for depression: A systematic review. Clinical Psychology Review, 49, 106–118.

26.

Shaheen

N. A.

AlAtiq

Thomas

Alanazi

H. A.

AlZahrani

Z. E.

Younis

S. A. R.

Hussein

M. A.

(2019). Paternal postnatal depression among fathers of newborn in Saudi Arabia. American Journal of Men’s Health, 13(1), 1557988319831219.

27.

Shariat

Abedinia

Charousaei

Fatahi

(2022). The relationship between paternal postpartum depression and psychosocial variables: A longitudinal study in Iran. Journal of Family & Reproductive Health, 16(4), 272–281.

28.

Smith

O’Dea

Demmer

D. H.

Youssef

Craigie

Francis

L. M.

. . .Macdonald

J. A.

(2023). Associations between unintended fatherhood and paternal mental health problems: A systematic review and meta-analysis. Journal of Affective Disorders, 339, 22–32.

29.

Staiger

Stiawa

Mueller-Stierlin

A. S.

Kilian

Beschoner

Gündel

. . .Krumm

(2020). Masculinity and help-seeking among men with depression: A qualitative study. Frontiers in Psychiatry, 11, Article 599039.

30.

Suto

Isogai

Mizutani

Kakee

Misago

Takehara

(2016). Prevalence and factors associated with postpartum depression in fathers: A regional, longitudinal study in Japan. Research in Nursing & Health, 39(4), 253–262.

31.

Symon

Crichton

G. E.

(2017). The joy of parenting: Infant sleep intervention to improve maternal emotional well-being and infant sleep. Singapore Medical Journal, 58(1), 50–54.

32.

Tipple

C. T.

Benson

Scholey

(2016). A review of the physiological factors associated with alcohol hangover. Current Drug Abuse Reviews, 9(2), 93–98.

33.

Tuji

Yesuf

S. A.

Birhanu

Milkias

(2023). Magnitude of paternal postpartum psychological distress and associated factors in Addis Ababa, Ethiopia: A facility-based cross-sectional study. BMC Psychiatry, 23(1), Article 387.

34.

Wang

Y.-L.

Qiu

Xiao

S.-Y.

(2021). Factors influencing paternal postpartum depression: A systematic review and meta-analysis. Journal of Affective Disorders, 293, 51–63.

35.

Wood

A. F.

Thomas

S. P.

Droppleman

P. G.

Meighan

M. M.

(1997). The downward spiral of postpartum depression. MCN: The American Journal of Maternal/Child Nursing, 22(6), 308–316.

36.

Ding

Xin

Zhang

(2017). Cesarean section and risk of postpartum depression: A meta-analysis. Journal of Psychosomatic Research, 97, 118–126.

37.

Yim

I. S.

Tanner Stapleton

L. R.

Guardino

C. M.

Hahn-Holbrook

Dunkel Schetter

(2015). Biological and psychosocial predictors of postpartum depression: Systematic review and call for integration. Annual Review of Clinical Psychology, 11, 99–137.

38.

Zegeye

Alebel

Gebrie

Tesfaye

Belay

Y. A.

Adane

Abie

(2018). Prevalence and determinants of antenatal depression among pregnant women in Ethiopia: A systematic review and meta-analysis. BMC Pregnancy and Childbirth, 18, Article 462.

39.

Zhang

Y.-P.

Zhang

L.-L.

Wei

H.-H.

Zhang

C.-L.

Porr

(2016). Post partum depression and the psychosocial predictors in first-time fathers from northwestern China. Midwifery, 35, 47–52.

Paternal Postpartum Depression and Associated Factors Among Partners of Women Who Gave Birth in Seka Town,Southwest Ethiopia

Abstract

Keywords

Background

Method and Materials

Study Area and Period

Study Design and Population

Sample Size Determination and Sampling Technique

Data Collection and Analysis

Ethical Consideration

Results

Socio-Demographic Characteristics and Paternal Characteristics

Relationship-Related Characteristics

Infant and Environmental-Related Characteristics

Prevalence of Paternal Postpartum Depression

Factors Associated With Paternal Postpartum Depression

Discussion

Factors Associated With Paternal Postpartum Depression

Limitation

Conclusions

Footnotes

Declaration of Conflicting Interests

Funding

ORCID iD

References