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Kim, Kim, Lee, and Lee: Association of Social Support and Postpartum Depression According to the Time After Childbirth in South Korea

Abstract

Objective

This study examined the association between social support and postpartum depression (PPD) according to the time after childbirth within 12 months in South Korea.

Methods

Data were collected from 1,481 women in Chungnam Province, South Korea from September 21 to 30, 2022. Multivariate logistic regression models were used to examine the association between social support and PPD. Subgroup analysis of the associations of support from family, friends, and significant others with PPD according to the time after childbirth was undertaken using crude and adjusted models.

Results

Of the participants, 39.91% had PPD. The prevalence of PPD was 36.05% at <3 months, 37.50% at 3≤ to <6 months, and 44.41% at 6≤ to <12 months. A 1-point increase in the social support score was associated with an increase in the adjusted odds ratio of PPD of 0.91 (95% confidence interval=0.90-0.93). Social support from family was significantly associated with PPD regardless of the time after childbirth. Support from significant others was significantly associated with PPD after 6≤ to <12 months.

Conclusion

Family support should be provided consistently to women after birth; social connections with significant others can prevent PPD.

INTRODUCTION

Postpartum depression (PPD) is the most common mental health problem among women after childbirth [1,2]. PPD is a mental disorder related to childbearing characterized by depressed mood, frequent crying, insomnia, fatigue, loss of appetite, feelings of worthlessness, and suicidal thoughts [3,4]. Women commonly experience PPD within 6 weeks following childbirth and recover within 6 months. However, it may persist for up to two years postpartum [2,5].
In Western countries, the prevalence of PPD varies from 10% to 15% [6]. Studies of PPD from China have found a prevalence of PPD was 19.8% [7]. In South Korea, the prevalence of PPD was 24.3% [8,9]; however, previous studies have found a higher prevalence of PPD. Differences in relation to the prevalence rates of pervious studies may be due to differences, in culture, reporting practices, and perceptions of mental health problems in the study population.
The prevalence of PPD differs over time after childbirth [10]. Community studies have shown that the prevalence of PPD is 27%-48% at 3-4 months postpartum, 30%-62% at 6 months, 25%-31% at 9 months, and 6%-39% at 12 months [11]. A prospective cohort study reported that the prevalence rates of PPD were 32.8%, 24.6%, and 22.4% at 2, 6, and 12 weeks postpartum, respectively [8]. The period prevalence rates of PPD were 15.1% within the first month, 11.6% in 1-3 months, 11.5% in 3-6 months, and 11.5% in 6-12 months after birth in Japan [12].
PPD risk may depend on sensitivity to hormonal fluctuations. The biological changes underlying postpartum blues may be modulated by genetic factors, childcare-related stress, lack of social support, low socioeconomic status, poor body image, and lack of employment [3,4,13,14].
Social support refers to the emotional, psychological, or physical support provided by another person. Family members, friends, neighbors, and relatives are important sources of social support for mothers during the period after childbirth [15]. Social support is effective in helping women cope with PPD [16-18].
Previous studies have investigated the relationship between PPD and social support. However, there was relatively little consideration for time after childbirth. Therefore, we investigated the prevalence of PPD in South Korean women and the association between social support and PPD according to the time after childbirth.

METHODS

Study design

Women in South Korea register for the Maternal and Child Health Service from 40 days before the scheduled date of childbirth to 30 days after the date of childbirth to obtain access to reproductive health, delivery, and parenting services. Our study population included 5,234 mothers registered for the Maternal and Child Health Service in Chungnam Province in 2022. Of these, 1,490 mothers agreed to participate in the web-based survey and completed the questionnaire (response rate: 28.5%). Informed consent was obtained from all the eligible participants. After excluding respondents with missing data, 1,481 women were included in the analysis. We conducted a web-based, cross-sectional survey between September 21 and September 30, 2022. This study was approved by the Institutional Review Board (IRB) of the College of Medicine, the Catholic University of Korea (approval number: MC22ZISI0095).

Sociodemopraphic characteristics

The sociodemographic characteristics of interest of the participants included age, education level, current employment status, and household income. We categorized age as 20-29, 30-39, or 40-49 years; education level as high school graduation or college or higher; current employment status as employed (full or part-time), employed (maternity leave), or unemployed; and monthly household income level as <3,000,000, 3,000,000-5,000,000, or ≥5,000,000 KRW.

Health-related variables

Maternal health-related factors included parity, period after birth, type of pregnancy, type of delivery, and planned pregnancy. Parity was categorized as 1 or ≥2. The time after birth was categorized as <3, 3≤ to <6, or 6≤ to <12 months. The type of pregnancy was categorized as spontaneous pregnancy or artificial insemination/test-tube. The type of delivery was categorized as vaginal delivery or cesarean section. Planned pregnancy was classified as yes or no.
General health-related factors included quality of sleep and past depressive disorder. Regarding the quality of sleep, the responses to the question “How is your current quality of sleep?” ranged from 1 (very satisfied) to 5 (very dissatisfied). We categorized the responses as high (very satisfied or satisfied), moderate (average), or low (unsatisfied or very dissatisfied). Past depressive disorder was classified based on the response (yes or no) to the question “Have you ever been diagnosed with depressive disorder by a doctor?”.

PPD

The Korean version of the Edinburgh Postnatal Depression Scale (K-EPDS) was used to evaluate depressive symptoms in women during the time after childbirth. The K-EPDS is a reliable and valid instrument that can be used for measuring PPD in the Korean population [19]. This assessment includes 10 items scored from 0-3 points (total score=0-30), with higher scores indicating more severe depression [20]. A cutoff score of ≥10 points was used to identify PPD [2].

Social support

The Multidimensional Scale of Perceived Social Support (MSPSS) was specifically designed to focus on perceived or subjective evaluation of social support adequacy from 3 particular sources: family, friends, and significant others. The inclusion of significant others is unique to the MSPSS. The support of significant others was associated with depression because the concept of a special person implies an especially close relationship. The significant others subscale is a strong supplement to the family and the friend subscales because it evaluates a different support source. Significant others were considered to be those who were considered significant by the participants, excluding family and friends in our study.
The MSPSS is a 12-item questionnaire, with each item rated on a 5-point Likert scale [2]. The subscale scores range from 4 to 20 points, and the total score ranges from 12 to 60 points. Higher scores indicate a higher level of perceived social support. The Korean version of the MSPSS is a reliable and valid tool for the assessment of perceived social support in the Korean population [21].

Statistical analysis

Descriptive analysis was performed to compare general characteristics of the participants according to PPD. Means and standard deviations (SD) were regarded as continuous variables, and frequencies and percentages were considered categorical variables [22]. The chi-square test and t-test were used for comparisons.
Multivariate logistic regression was used to identify the association between social support and PPD. The odds ratio (OR) and 95% confidence interval (95% CI) of PPD were estimated. In subgroup analyses, we investigated the relationships between social support from family, friends, and significant others and PPD according to the time postpartum. We constructed unadjusted and adjusted models of the associations between the social support subscales and PPD according to the time postpartum. The adjusted model included sociodemographic and health-related factors. A p<0.05 were considered statistically significant. The statistical analyses were done using SAS software (ver. 9.4; SAS Institute, Cary, NC, USA).

RESULTS

The study population consisted of 1,481 women, 591 (39.91%) and 890 (60.09%) of whom did and did not have PPD, respectively. The prevalence of PPD was 36.05% (n=159) within 3 months after childbirth, 37.50% (n=162) within 3≤ to <6 months after birth, and 44.41% (n=270) ≥6 months after birth. The sociodemographic and health-related characteristics of the PPD group are summarized in Table 1. The mean total social support score was 43.30 (SD=9.74) in women who had PPD and 51.23 (SD=7.98) in those who did not. The mean scores of support from family, friends, and significant others were 14.80 (SD=3.61), 13.66 (SD=4.02), and 14.84 (SD=3.52) in women who had PPD, respectively. The mean scores of support from family, friends, and significant others were 17.58 (SD=2.66), 16.16 (SD=3.62), and 17.50 (SD=2.75) in women without PPD. There were significant differences between the total and subscale scores between the women who had and did not have PPD (all p<0.001).
Multiple logistic regression was performed to investigate the association between social support and PPD after adjusting for age, current job, education level, household income, quality of sleep, past depressive disorder, parity, time after childbirth, type of pregnancy, type of delivery, and planned pregnancy (Table 2). A 1-point higher social support score was associated with a 9% lower likelihood of PPD (OR=0.91, 95% CI=0.90-0.93). The relationship between the time after childbirth and PPD was not significant. Women with low-quality sleep, a past depressive disorder, or unplanned pregnancy had a higher adjusted OR for PPD.
Table 3 and Figure 1 show the crude and adjusted ORs of PPD stratified by time after childbirth. Regardless of the time postpartum, total and family social support scores were negatively associated with PPD. Within 3 months after childbirth, the prevalence of PPD was 0.79 times lower with a 1-point increase in the family support score (95% CI=0.67-0.93). For women less than 6 months after birth, the prevalence of PPD was 0.80 times lower with a 1-point increase in the family support score (95% CI=0.71-0.91). After 6 months, the prevalence of PPD was 0.90 times lower with a 1-point increase in the family support score (95% CI=0.82-0.99). The support of friends was not significantly associated with PPD at any time point after birth. The support of significant others had an adjusted OR of 0.82 (95% CI=0.74-0.91) ≥6 months after birth.

DISCUSSION

This study investigated the prevalence of PPD and its association with social support up to 12 months postpartum. We found that 39.91% of the participants had PPD. The prevalence rates were 36.05%, 37.50%, and 44.41% at <3, 3≤ to <6, and 6≤ to <12 months after birth, respectively.
The self-reported prevalence of PPD varies from 1.9% to 82.1% in developing countries and from 5.2% to 74.0% in developed countries. The prevalence of PPD was 10.2% in China [23] and 14.3% in Japan. In the present study, the prevalence rates of PPD were 17.6% at 1 month, 10.0% at 2 months, and 6.1% at 3 months after childbirth in Japan [24]. A study of 122 mothers from Guangzhou, China demonstrated that the PPD rates were 23.0% at 6 weeks, 25.4% at 3 months, and 27.0% at 6 months after childbirth [25].
The prevalence of PPD was significantly higher in the present study, focused on Korea, than in other Asian countries [26]. This could be due to the use of different assessment tools to measure mental health status and the inclusion of study participants with different time intervals after childbirth. Additionally, the wide range of the prevalence may be related to different in the cutoff scores of PPD, cultural factors, or perception of mental health and its stigma [27]. The differences in the time period for PPD measurement, screening tools, and cutoff scores used to classify PPD make it difficult to compare the prevalence rates among previous studies.
Few studies have assessed depressive symptoms in women after the early postpartum period. Our study showed that PPD prevalence increased over time. As the mother’s external activities gradually increase after 6 months [28], stress may also increase, partly due to multiple, conflicting roles and responsibilities.
Previous studies have been revealed mixed results, with some showing a gradual decrease in incidence of depression during the first and second years following childbirth [8,29,30] and others showing no significant change in depressive levels after the early postpartum period [12,31]. Although higher levels of depressive symptoms decreased during the first year postpartum, minor depression symptoms increased. However, many questions regarding the course of persistent PPD, and the factors associated with persistence or remission, remain unclear. Our findings suggest that women should be evaluated for PPD beyond the early postpartum period and throughout the first year after childbirth.
Our study found that the prevalence of PPD was inversely related to the social support score; greater social support was related to higher parental self-efficacy and less severe depressive symptoms. This finding is in line with previous studies showed that perceived social support is important for coping with the effects of PPD. This is important because some women do not have access to a social network that could provide informational and instrumental support, to access psychosocial care services [32]. A study from the United Kingdom found that three brief home-based visits based on counseling techniques accelerated recovery for women with PPD [33]. Support group attendance provides mothers with a sense of hope through the realization that they are not alone. It is important to integrate mental health screening into routine primary care for pregnant and postpartum women and to follow up this screening with treatment or referral and with follow-up care [34].
Our study found that family support was important regardless of the postpartum time. Family members can help prevent the onset of mental health problems in mothers [35]. A study stated that husbands are a key source of support, and can be more helpful if they are aware of PPD and steps that can assist in recovery [36]. Women who have access to social support may feel that their family and friends are unable to be supportive due to a lack of understanding with regard to PPD, which could worsen maternal mental health or act as a barrier to treatment [32]. Family support was important during the coronavirus disease-2019 (COVID-19) pandemic because mothers spent more time at home during the COVID-19 [37].
Our study showed that mothers with higher education levels and household income were less likely to have PPD. However, the difference was statistically significant. Epidemiological evidence regarding associations of employment, income, and education with the risk of PPD is inconsistent [38]. Some studies have suggested that a low social economic status (SES) contributes to the development of PPD and that a higher SES protectes against PPD, while others report that a low SES has very little influence on the development of PPD. There were no relationships between household income or maternal educational levels with PPD in Japan [38].
We also found that a past depressive disorder, unwanted pregnancy, and low-quality sleep were related to PPD, in line with previous studies. Most mothers with PPD experience stressful events such as unplanned pregnancies [39,40]. According to one study, a past depressive disorder is a strong risk factor for PPD. Moreover, in women suffering from PPD and members of their family, there is a very strong relationship between a history of depressive or psychiatric disorder and PPD [41]. Moreover, women who did not plan their pregnancy may be unprepared and thus might implement prenatal care at a later stage [42]. Therefore, clinicians need to identify risk factors for PPD in women and implement appropriate preventive measures. Counseling services and family planning may decrease the rate of unplanned pregnancies.
This study had several limitations. First, it was a community web-based survey conducted in South Korea, which limits its generalizability. Second, it was a cross-sectional study, therefore, a causal relationship could not be established with respect to the association between social support and PPD. Third, the study used self-report measures of general and maternal health status, among other variables. However, we measured PPD using valid and reliable scales. Fourth, our findings may be subject to selection bias because participation in the study was voluntary.
In conclusion, we observed a high prevalence of PPD among women in South Korea at various time points postpartum (<3, 3≤ to <6, and 6≤ to <12 months). PPD was common and affected more than one-third of mothers, with an increase in the proportion over the months postpartum. Our data provide important insights that could aid the identification of at-risk mothers; the data also emphasize the need for long-term follow-up. The study findings indicate that family support should be provided to women after birth, and that social connections with significant others can help decrease depressive symptoms after childbirth. Therefore, support from family and significant others is crucial to reduce the risk of PPD and improve mental health.

Notes

Availability of Data and Material

The data from this study cannot be made publicly available to protect participants’ information. Inquiries about the data can be referred to the corresponding author [HY, LEE, hylee@catholic.ac.kr].

Conflicts of Interest

The authors have no potential conflicts of interest to disclose.

Author Contributions

Conceptualization: Seongju Kim, Mi-Sun Lee, Hooyeon Lee. Formal Analysis: Seongju Kim, Mi-Sun Lee, Hooyeon Lee. Investigation: all authors. Methodology: Seongju Kim, Hooyeon Lee. Project administration: Hooyeon Lee. Data curation: Seongju Kim, Dong Jun Kim. Supervision: Hooyeon Lee. Validation: Seongju Kim, Hooyeon Lee. Visualization: Seongju Kim, Dong Jun Kim. Writing—original draft: Seongju Kim. Writing—review & editing: Mi-Sun Lee, Hooyeon Lee.

Funding Statement

This study was supported by the National R&D Program for Cancer Control through the National Cancer Center (NCC) funded by the Ministry of Health & Welfare, Republic of Korea (Grant number: HA21C0225) and the Catholic Medical Center Research Foundation made in the program year of 2022 (Grant number: 5-2022-B0001-00207).

Figure 1.
Adjusted ORs of postpartum depression according to the time after childbirth. OR, odd ratio.
pi-2023-0042f1.jpg
Table 1.
General characteristics of the participants
Variables Total (N=1,481) Postpartum depression, no (N=890, 60.09%) Postpartumdepression, yes (N=591, 39.91%) p
Social support (range)
Total (12-60) 48.06 51.23±7.98 43.30±9.74 <0.001
Family support (4-20) 16.47 17.58±2.66 14.80±3.61 <0.001
Friend support (4-20) 15.16 16.16±3.62 13.66±4.02 <0.001
Significant others support (4-20) 16.44 17.50±2.75 14.84±3.52 <0.001
Age 0.969
20-29 yr 282 169 (59.93) 113 (40.07)
30-39 yr 1,111 667 (60.04) 444 (39.96)
40-49 yr 88 54 (61.36) 34 (38.64)
Current employment status 0.134
Unemployed 859 504 (58.67) 355 (41.33)
Employed, full or part time 113 63 (55.75) 50 (44.25)
Employed, maternity leave 509 323 (63.46) 186 (36.54)
Education level 0.001
≤High school 254 129 (50.79) 125 (49.21)
≥College 1,227 761 (62.02) 466 (37.98)
Household monthly income 0.004
<3,000,000 KRW 467 255 (54.60) 212 (45.40)
3,000,000-5,000,000 KRW 727 444 (61.07) 283 (38.93)
≥5,000,000 KRW 287 191 (66.55) 96 (33.45)
Quality of sleep <0.001
High 273 213 (78.02) 60 (21.98)
Moderate 582 379 (65.12) 203 (34.88)
Low 626 298 (47.60) 328 (52.40)
Past depressive disorder <0.001
No 1,370 850 (62.04) 520 (37.96)
Yes 111 40 (36.04) 71 (63.96)
Parity 0.013
1 743 470 (63.26) 273 (36.74)
≥2 738 420 (56.91) 318 (43.09)
Time after childbirth 0.012
<3 mo 441 282 (63.95) 159 (36.05)
3≤ to <6 mo 432 270 (62.50) 162 (37.50)
6≤ to <12 mo 608 338 (55.59) 270 (44.41)
Type of pregnancy 0.599
Spontaneous 1,360 820 (60.29) 540 (39.71)
Used fertility 121 70 (57.85) 51 (42.15)
Type of delivery 0.955
Vaginal 931 330 (60.00) 220 (40.00)
Cesarean section 550 560 (60.15) 371 (39.85)
Planned pregnancy <0.001
No 487 255 (52.36) 232 (47.64)
Yes 994 635 (63.88) 359 (36.12)

Values are presented as mean±standard deviation, number (%), mean, or number

Table 2.
Multivariable logistic regression analysis of social support and postpartum depression
Variables aOR* 95% CI p
Social support 0.91 0.90-0.93 <0.001
Age
 20-29 yr 1
 30-39 yr 0.89 0.64-1.23 0.551
 40-49 yr 0.65 0.37-1.15 0.158
Current employment status
 Unemployed 1
 Employed, full or part time 1.30 0.82-2.04 0.381
 Employed, maternity leave 1.13 0.86-1.48 0.948
Education level
 ≤High school 1
 ≥College 0.90 0.64-1.24 0.495
Household monthly income
 <3,000,000 KRW 1
 3,000,000-5,000,000 KRW 0.95 0.72-1.25 0.687
 ≥5,000,000 KRW 0.82 0.57-1.18 0.282
Quality of sleep
 High 1
 Moderate 1.62 1.12-2.33 0.588
 Low 3.02 2.11-4.33 <0.001
Past depressive disorder
 No 1
 Yes 2.22 1.40-3.53 0.001
Parity
 1 1
 ≥2 0.99 0.77-1.28 0.957
Time after childbirth
 <3 mo 1
 3≤ to <6 mo 0.98 0.72-1.34 0.371
 6≤ to <12 mo 1.23 0.92-1.64 0.371
Type of pregnancy
 Spontaneous 1
 Used Fertility 1.35 0.86-2.09 0.190
Type of delivery
 Vaginal 1
 Cesarean section 0.95 0.75-1.22 0.709
Planned pregnancy
 Yes 1
 No 1.40 1.08-1.81 0.011

* adjusted by age, current employment status, education level, household income, quality of sleep, past depressive disorder, parity, time after childbirth, type of pregnancy, type of delivery, and planned pregnancy. aOR, adjusted odds ratio; CI, confidence interval

Table 3.
Subgroup analysis of social support and PPD according to the time after childbirth
Variable
Crude OR 95% CI aOR* 95% CI
Time after childbirth Social support
<3 mo Total 0.90 0.88-0.93 0.91 0.88-0.93
Family 0.74 0.69-0.80 0.79 0.67-0.93
Friends 0.83 0.78-0.88 0.95 0.87-1.04
Significant others 0.77 0.71-0.82 0.98 0.83-1.15
3≤ to <6 mo Total 0.91 0.89-0.93 0.92 0.90-0.94
Family 0.76 0.71-0.82 0.80 0.71-0.91
Friends 0.84 0.80-0.89 0.95 0.88-1.02
Significant others 0.80 0.75-0.85 1.01 0.90-1.15
6≤ to <12 mo Total 0.90 0.88-0.92 0.91 0.89-0.93
Family 0.76 0.72-0.81 0.90 0.82-0.99
Friends 0.86 0.82-0.90 1.00 0.94-1.06
Significant others 0.74 0.70-0.79 0.82 0.74-0.91

* adjusted by age, current employment status, education level, household income, quality of sleep, past depressive disorder, parity, time after childbirth, type of pregnancy, type of delivery, and planned pregnancy. PPD, postpartum depression; OR, odds ratio; CI, confidence interval; aOR, adjusted odds ratio

REFERENCES

1. Vaezi A, Soojoodi F, Banihashemi AT, Nojomi M. The association between social support and postpartum depression in women: a cross sectional study. Women Birth 2019;32:e238-e242.
crossref pmid
2. Cho H, Lee K, Choi E, Cho HN, Park B, Suh M, et al. Association between social support and postpartum depression. Sci Rep 2022;12:3128
crossref pmid pmc pdf
3. Tambağ H, Turan Z, Tolun S, Can R. Perceived social support and depression levels of women in the postpartum period in Hatay, Turkey. Niger J Clin Pract 2018;21:1525-1530.
crossref pmid
4. Zlotnick C, Manor‐Lavon I, Leahy‐Warren P. Relationship between social support and postpartum depression in migrant and non‐migrant first‐time mothers. J Clin Nurs 2023;32:1316-1326.
crossref pmid pdf
5. Cornish AM, McMahon CA, Ungerer JA, Barnett B, Kowalenko N, Tennant C. Postnatal depression and infant cognitive and motor development in the second postnatal year: the impact of depression chronicity and infant gender. Infant Behav Dev 2005;28:407-417.
crossref
6. Wang Z, Liu J, Shuai H, Cai Z, Fu X, Liu Y, et al. Mapping global prevalence of depression among postpartum women. Transl Psychiatry 2021;11:543
crossref pmid pmc pdf
7. Tang L, Zhang X, Zhu R. What causes postpartum depression and how to cope with it: a phenomenological study of mothers in China. Health Commun 2021;36:1495-1504.
crossref pmid
8. Yoo H, Ahn S, Park S, Kim J, Oh J, Koh M. Factors influencing prenatal and postpartum depression in Korea: a prospective cohort study. Korean J Women Health Nurs 2021;27:326-336.
crossref pmid pmc pdf
9. Kang SY, Khang YH, June KJ, Cho SH, Lee JY, Kim YM, et al. Prevalence and risk factors of maternal depression among women who participated in a home visitation program in South Korea. Soc Psychiatry Psychiatr Epidemiol 2022;57:1167-1178.
crossref pmid pdf
10. Hahn-Holbrook J, Cornwell-Hinrichs T, Anaya I. Economic and health predictors of national postpartum depression prevalence: a systematic review, meta-analysis, and meta-regression of 291 studies from 56 countries. Front Psychiatry 2018;8:248
crossref pmid pmc
11. Vliegen N, Casalin S, Luyten P. The course of postpartum depression: a review of longitudinal studies. Harv Rev Psychiatry 2014;22:1-22.
pmid
12. Tokumitsu K, Sugawara N, Maruo K, Suzuki T, Shimoda K, Yasui-Furukori N. Prevalence of perinatal depression among Japanese women: a meta-analysis. Ann Gen Psychiatry 2020;19:41
crossref pmid pmc pdf
13. Beck CT. Predictors of postpartum depression: an update. Nurs Res 2001;50:275-285.
pmid
14. Miller LJ. Postpartum depression. JAMA 2002;287:762-765.
crossref pmid
15. Eslahi Z, Bahrami N, Allen KA, Alimoradi Z. Spouse’s social support in the postpartum period, predictors and its relationship with postpartum depression in a sample of Iranian primiparous women. Int J Gynecol Obstet 2021;154:24-30.
crossref pdf
16. Werner E, Miller M, Osborne LM, Kuzava S, Monk C. Preventing postpartum depression: review and recommendations. Arch Womens Ment Health 2015;18:41-60.
crossref pmid pmc pdf
17. Aytac SH, Yazici S. The effect of social support on pregnancy and postpartum depression. Int J Caring Sci 2020;13:746

18. McVeigh CA. Investigating the relationship between satisfaction with social support and functional status after childbirth. MCN Am J Matern Child Nurs 2000;25:25-30.
crossref pmid
19. Kim JI. A validation study on the translated Korean version of the Edinbergh Postnatal Depression Scale. Korean J Women Health Nurs 2006;12:204-209.
crossref pdf
20. Park JH, Karmaus W, Zhang H. Prevalence of and risk factors for depressive symptoms in Korean women throughout pregnancy and in postpartum period. Korean Soc Nurs Sci 2015;9:219-225.
crossref
21. Shin JS, Lee YB. The effects of social supports on psychosocial well-being of the unemployed. Korean J Soc Welfare 1999;37:241-269.

22. Fisher MJ, Marshall AP. Understanding descriptive statistics. Aust Crit Care 2009;22:93-97.
crossref pmid
23. Chi X, Zhang P, Wu H, Wang J. Screening for postpartum depression and associated factors among women in China: a cross-sectional study. Front Psychol 2016;7:1668
crossref pmid pmc
24. Takehara K, Tachibana Y, Yoshida K, Mori R, Kakee N, Kubo T. Prevalence trends of pre-and postnatal depression in Japanese women: a population-based longitudinal study. J Affect Disord 2018;225:389-394.
crossref pmid
25. Zheng J, Gao L, Li H, Zhao Q. Postpartum depression and social support: a longitudinal study of the first six months as parents. J Clin Nurs 2023;32:2652-2662.
crossref pmid pdf
26. Klainin P, Arthur DG. Postpartum depression in Asian cultures: a literature review. Int J Nurs Stud 2009;46:1355-1373.
crossref pmid
27. Deng AW, Xiong RB, Jiang TT, Luo YP, Chen WZ. Prevalence and risk factors of postpartum depression in a population-based sample of women in Tangxia Community, Guangzhou. Asian Pac J Trop Med 2014;7:244-249.
crossref pmid
28. Bahadoran P, Tirkesh F, Oreizi HR. Association between physical activity 3-12 months after delivery and postpartum well-being. Iran J Nurs Midwifery Res 2014;19:82-87.
pmid pmc
29. Abdollahi F, Zarghami M, Azhar MZ, Sazlina SG, Lye MS. Predictors and incidence of post‐partum depression: a longitudinal cohort study. J Obstet Gynaecol Res 2014;40:2191-2200.
crossref pmid pdf
30. Mori T, Tsuchiya KJ, Matsumoto K, Suzuki K, Mori N, Takei N, et al. Psychosocial risk factors for postpartum depression and their relation to timing of onset: the Hamamatsu Birth Cohort (HBC) Study. J Affect Disord 2011;135:341-346.
crossref pmid
31. Horowitz JA, Goodman J. A longitudinal study of maternal postpartum depression symptoms. Res Theory Nurs Pract 2004;18:149-163.
crossref pmid
32. Inekwe JN, Lee E. Perceived social support on postpartum mental health: an instrumental variable analysis. PLos One 2022;17:e0265941.
crossref pmid pmc
33. Anokye R, Acheampong E, Budu-Ainooson A, Obeng EI, Akwasi AG. Prevalence of postpartum depression and interventions utilized for its management. Ann Gen Psychiatry 2018;17:18
crossref pmid pmc pdf
34. O’Hara MW, McCabe JE. Postpartum depression: current status and future directions. Annu Rev Clin Psychol 2013;9:379-407.
crossref pmid
35. Poreddi V, Thomas B, Paulose B, Jose B, Daniel BM, Somagattu SNR, et al. Knowledge and attitudes of family members towards postpartum depression. Arch Psychiatr Nurs 2020;34:492-496.
crossref pmid
36. Lee DJ, Park JS. The effects of fatigue, postpartum family support on postpartum depression in postpartum women. Korean Parent Child Health J 2018;21:39-49.

37. Terada S, Kinjo K, Fukuda Y. The relationship between postpartum depression and social support during the COVID‐19 pandemic: a cross‐sectional study. J Obstet Gynaecol Res 2021;47:3524-3531.
pmid
38. Miyake Y, Tanaka K, Sasaki S, Hirota Y. Employment, income, and education and risk of postpartum depression: the Osaka Maternal and Child Health Study. J Affect Disord 2011;130:133-137.
crossref pmid
39. Hutchens BF, Kearney J. Risk factors for postpartum depression: an umbrella review. J Midwifery Women’s Health 2020;65:96-108.
crossref pdf
40. Bener A, Gerber LM, Sheikh J. Prevalence of psychiatric disorders and associated risk factors in women during their postpartum period: a major public health problem and global comparison. Int J Women’s Health 2012;4:191-200.
crossref pmid pmc
41. Robertson E, Grace S, Wallington T, Stewart DE. Antenatal risk factors for postpartum depression: a synthesis of recent literature. Gen Hosp Psychiatry 2004;26:289-295.
crossref pmid
42. Gastaldon C, Solmi M, Correll CU, Barbui C, Schoretsanitis G. Risk factors of postpartum depression and depressive symptoms: umbrella review of current evidence from systematic reviews and meta-analyses of observational studies. Br J Psychiatry 2022;221:591-602.
crossref pmid


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