Skip to main content
Elsevier - PMC COVID-19 Collection logoLink to Elsevier - PMC COVID-19 Collection
. 2022 Mar 24;307:206–214. doi: 10.1016/j.jad.2022.03.056

The effect of social restrictions, loss of social support, and loss of maternal autonomy on postpartum depression in 1 to 12-months postpartum women during the COVID-19 pandemic

Kanami Tsuno a,b,, Sumiyo Okawa c, Midori Matsushima d, Daisuke Nishi b,e, Yuki Arakawa f, Takahiro Tabuchi g
PMCID: PMC8944109  PMID: 35341813

Abstract

Background

This study focused on postpartum women, who are one of the most vulnerable populations during the COVID-19 pandemic, aiming to reveal mental health consequences of social restrictions, loss of social support, and loss of autonomy.

Methods

We conducted a cross-sectional study for postpartum women in October 2020 in Japan (N = 600). The Edinburgh Postpartum Depression Scale (EPDS) was used to measure postpartum depression. The prevalence ratios were estimated by log-binomial regression models, adjusting for age, education, household income, residential area, parity, the timing of delivery, and a prior history of depression.

Results

The prevalence of postpartum depression was 28.7% (EPDS ≥9, which is frequently used in Japan), 18.6% (≥11), and 13.1% (≥13). Social restrictions, including cancellation of home visits by healthcare professionals and cancellation of infant checkups or vaccinations, loss of support during pregnancy or after delivery, including loss of opportunities to consult with healthcare professionals or friends and cancellation of parents or other family members' visits to support, and loss of autonomy about delivery or breastfeeding, were associated with postnatal depression.

Conclusions

At least 13% of women who delivered and raised babies during the COVID-19 pandemic had postpartum depressive symptoms. COVID-19 related social restrictions and loss of social support from healthcare professionals, families, and friends were significantly associated with postpartum depression. In addition, loss of maternal autonomy in delivery and breastfeeding was associated with postpartum depression. The results indicate that both formal and informal support should not be limited to preventing postpartum depression during a pandemic.

Keywords: Anxiety, Coronavirus, Depressive symptoms, Edinburgh postnatal depression scale, Postpartum depression, Stress

Abbreviations: COVID-19, coronavirus disease 2019; EPDS, Edinburgh Postpartum Depression Scale

1. Introduction

The coronavirus disease 2019 (COVID-19) pandemic has changed people's daily lives globally, imposing social restrictions on citizens to contain an infection and prevent the spread of the virus. On April 7, 2020, the Japanese government declared its first state of emergency in seven prefectures including Tokyo, and urged citizens to stay at home and avoid unnecessary travel, particularly from cities to rural areas, which are densely populated with older adults (Looi, 2020). Following an increase in untraceable cases, the declaration was expanded across the nation on April 16, with 13 major prefectures categorized as “prefectures under special precautions.” As the number of new cases decreased, the declaration was lifted in all regions on May 25, 2020.

Postnatal women are one of the most vulnerable groups in this pandemic, as most support systems or services have been eliminated at birth facilities or public health centers under infection control measures. According to a survey conducted in May 2020 by the Japanese Society of Obstetrics and Gynecology (JSOG) (Komatsu et al., 2020), 92% of the facilities discontinued birth and parenting classes, 80% prohibited partner attendance at birth, and 86% prohibited visits by family, relatives, and friends during the postpartum hospital stay. While these measures may help reduce infection risk in perinatal women, they also expose them to isolation and a higher risk of postnatal depression (Viaux et al., 2020). Moreover, pregnant women faced a significant burden of infection with SARS-CoV-2, as 66% and 80% of the facilities in Japan transferred pregnant women to limited facilities that accept infected pregnant women if they had an asymptomatic and symptomatic infection, respectively (Komatsu et al., 2020). This means that most facilities rejected the infected pregnant women.

Generally, 10–20% of mothers experience postpartum depression. A recent meta-analysis reported that postpartum depression has a global pooled prevalence of 17.7% (Hahn-Holbrook et al., 2017). According to a systematic review and meta-analysis, the COVID-19 pandemic significantly increases the risk of anxiety in pregnant and perinatal women (Hessami et al., 2020). The percentage of pregnant women who obtained scores higher than 13 on the Edinburgh Postpartum Depression Scale (EPDS) during the pandemic has been reported to be 17% in Japan (Matsushima and Horiguchi, 2020), 29.6% in China (Wu et al., 2020), 35.4% in Turkey (Durankus and Aksu, 2020), and 37% in Canada (Lebel et al., 2020). However, studies have not thoroughly investigated the prevalence of postpartum depression among postpartum women who delivered during the COVID-19 pandemic and most of them have been single-site studies (An et al., 2021; Ostacoli et al., 2020; Suzuki, 2020; Zanardo et al., 2020).

Lack of social support is a risk factor for postpartum depression (Beck, 2001). Social support is defined as “the process by which interpersonal relationships promote and protect an individual's well-being, particularly when that person is faced with stressful life circumstances” (Wills and Ainette, 2012). The COVID-19 pandemic is a stressful situation for perinatal women. Moreover, in this situation, any social support they were supposed to receive would have been diminished due to the cancellation of parenting classes or hometown delivery. A recent study during the COVID-19 pandemic reported that cancellation of planned informal support and not receiving informal childcare support were associated with depression among pregnant women (Matsushima and Horiguchi, 2020). Nonetheless, the effects of social isolation and decreased social support on postpartum depression have not been thoroughly investigated.

In Japan, it is customary for pregnant women to give birth in their hometown and stay at their parents' houses before and after delivery to receive support from them. This is called ‘Satogaeri bunben’ (‘Satogaeri’ means returning to the parents' house and ‘bunben’ means delivery, hereafter referred to as “hometown delivery”), which is a traditional support system for perinatal women in Japan (Yoshida et al., 2001). However, pregnant or postpartum women had to cancel or refrain from such travel during the pandemic. For instance, the JSOG announced on its website that as of April 21 all pregnant women should refrain from having hometown deliveries to prevent infection with SARS-CoV-2 (Japanese Society of Obstetrics and Gynecology, 2020). According to a study, 17% of the birth facilities rejected pregnant women from other prefectures (Komatsu et al., 2020). Even if a postpartum woman lives with her husband/partner, his social support may be insufficient because the time Japanese working fathers devote in household chores and childcare is only one-fifth of that of mothers, according to the 2020 Annual Report on the State of the Formation of a Gender Equal Society (Cabinet Office, 2020). Thus, the cancellation of hometown delivery exposes mothers to a loss of social support and an increased burden of household chores and childcare, which may cause adverse mental health conditions among mothers.

According to the self-determination theory (SDT), autonomy is a fundamental psychological need (Deci and Ryan, 2000). SDT demonstrates a lack of needs satisfaction or the presence of need frustration, which may pose a risk for adverse psychological health. Several studies have suggested that autonomy determines maternal well-being or quality of parenting (Brenning and Soenens, 2017; Gauthier et al., 2010) or even depressive symptoms among mothers (Gauthier et al., 2010). During the pandemic, most perinatal women may experience a loss of autonomy due to strict infection control measures. For instance, 65% of birth facilities in Japan asked perinatal women to wear a face mask during labor and delivery, breastfeeding, and while caring for their infants at the hospital even if they were not infected (Komatsu et al., 2020). This may also impair the mental health of postpartum women.

Therefore, the aim of the current study was to investigate the effect of various social restrictions, loss of support, and loss of maternal autonomy on postpartum depression among women in Japan who delivered and raised babies during the pandemic, by comparing women who delivered between October 2019 and March 2020 (before the first state of emergency), between April and May 2020 (during the first state of emergency), and between June and October 2020 (after the first state of emergency).

2. Methods

2.1. Study design and participants

This study is a part of the “Japan COVID-19 and Society Internet Survey (JACSIS),” an ongoing longitudinal, population- and internet-based questionnaire survey (Ikeda et al., 2021; Yamada et al., 2021). Details of the study design have been described elsewhere (Miyawaki et al., 2021). The JACSIS study consisted of three surveys with the following targets: the general population (N = 28,000), pregnant and postpartum women (N = 1,000), and single mothers/fathers (N = 1,000). The study sample for each survey was retrieved from the pooled panels of an Internet research agency (Rakuten Insight, Inc.), which had approximately 2.2 million panelists in 2019.

In this study, we used baseline cross-sectional data from surveys of pregnant and postpartum women collected between October 15 and 25, 2020. A total of 4,373 women who had given birth after October 2019 or were expected to give birth by March 2021 were recruited from 21,896 eligible participants using simple random sampling. Due to the limited budget, data were collected until the target sample size reached 1,000 (participation rate, 22.9%). The sample comprised the following four groups: women who delivered between October 2019 and March 2020 (before the first state of emergency) (n = 200), women who delivered between April and May 2020 (during the first state of emergency) (n = 200), women who delivered between June and October 2020 (after the first state of emergency) (n = 200), and women who were pregnant at the time of the survey as well as expected to deliver by March 31, 2021 (n = 400). We included women who gave birth before the pandemic because we wanted to compare their experiences with social restrictions before and after the first state of emergency. Among the 1,000 participants, we analyzed the data of postpartum women who delivered a baby between October 2019 and October 2020 (n = 600).

2.2. Measurements

2.2.1. Social restriction, loss of support, and loss of autonomy during pregnancy

We asked participants if they experienced any kind of social restriction (four items), loss of social support (two items), or loss of autonomy (one item) during pregnancy (see Table 2). The response options were “yes” or “no.”

Table 2.

Social restrictions and loss of support during pregnancy and the timing of delivery.


All
Oct 2019 to Mar 2020
Apr to May 2020
Jun to Oct 2020
p
n % n % n % n %
Social restrictions
Reduced the number of prenatal checkups 0.083
 Yes 28 5.0 4 2.2 13 6.9 11 6.0
 No 530 95.0 182 97.8 175 93.1 173 94.0
Cancellation of birth and parenting classes <0.001
 Yes 352 63.1 68 36.6 132 70.2 152 82.6
 No 206 36.9 118 63.4 56 29.8 32 17.4
Having been transferred because the hospital/clinic stopped accepting delivery 0.348
 Yes 9 1.6 2 1.1 2 1.1 5 2.7
 No 549 98.4 184 98.9 186 98.9 179 97.3
The hospital/clinic where the hometown delivery had been scheduled refused delivery 0.088
 Yes 9 1.6 2 1.1 1 0.5 6 3.3
 No 549 98.4 184 98.9 187 99.5 178 96.7
Loss of social support
Gave up hometown delivery 0.028
 Yes 57 10.2 10 5.4 24 12.8 23 12.5
 No 501 89.8 176 94.6 164 87.2 161 87.5
Unable to talk with friends about concerns during pregnancy 0.100
 Yes 98 17.6 24 12.9 35 18.6 39 21.2
 No 460 82.4 162 87.1 153 81.38 145 78.8
Loss of autonomy
Compelled to follow the doctor’s instructions without communicating their preferences for delivery and breastfeeding 0.489
 Yes 140 25.1 41 22.0 51 27.1 48 26.1
 No 418 74.9 145 78.0 137 72.9 136 73.9

2.2.2. Social restrictions and loss of support after the delivery

We asked the participants if they experienced any kind of social restriction (six items) or loss of social support (five items) after delivery, respectively (see Table 3). The response options were “yes” and “no.”

Table 3.

Social restrictions and loss of support after childbirth and the timing of delivery.


All
Oct 2019 to Mar 2020
Apr to May 2020
Jun to Oct 2020
p
n % n % n % n %
Social restrictions
No husband/partner attendance in the delivery room despite their wish 0.873
 Yes 23 4.8 7 4.1 9 5.2 7 5.1
 No 456 95.2 163 95.9 163 94.8 130 94.9
Restrictions of family visits during hospital stay <0.001
 Yes 408 73.1 51 27.4 181 96.3 176 95.7
 No 150 26.9 135 72.6 7 3.7 8 4.3
Not given home visits services by public health nurses or midwives despite their request 0.887
 Yes 24 4.3 7 3.8 9 4.8 8 4.3
 No 534 95.7 179 96.2 179 95.2 176 95.7
Voluntarily refrained from receiving home visits by public health nurses or midwives <0.001
 Yes 74 13.3 21 11.3 39 20.7 14 7.6
 No 484 86.7 165 88.7 149 79.3 170 92.4
Not given infant health checkups and vaccinations despite their request 0.037
 Yes 29 5.2 16 8.6 7 3.7 6 3.3
 No 529 94.8 170 91.4 181 96.3 178 96.7
Voluntarily refrained from having infant checkups and vaccinations 0.459
 Yes 27 4.8 11 5.9 10 5.3 6 3.3
 No 531 95.2 175 94.1 178 94.7 178 96.7
Loss of social support
Cancellation of parents or other family members' visits to support 0.000
 Yes 138 24.7 27 14.5 62 33.0 49 26.6
 No 420 75.3 159 85.5 126 67.0 135 73.4
Cancellation of planned stay at their parents'/parents-in-laws' house 0.003
 Yes 60 10.8 9 4.8 29 15.4 22 12.0
 No 498 89.2 177 95.2 159 84.6 162 88.0
Few opportunities of being taught about childcare and breastfeeding by doctors, midwives, and nurses at hospital ward <0.001
 Yes 124 22.2 20 10.8 63 33.5 41 22.3
 No 434 77.8 166 89.2 125 66.5 143 77.7
Unable to consult with doctors or midwives about their health despite their needs 0.618
 Yes 75 13.4 23 12.4 29 15.4 23 12.5
 No 483 86.6 163 87.6 159 84.6 161 87.5
Unable to talk with friends about breastfeeding or childcare issues despite their needs 0.698
 Yes 80 14.3 24 12.9 30 16.0 26 14.1
 No 478 85.7 162 87.1 158 84.0 158 85.9

2.2.3. Postpartum depression

The Japanese version of the EPDS has been used to measure postpartum depression (Cox et al., 1987; Okano, 1996). The EPDS consists of ten items rated on a four-point Likert scale from 0 to 3, with a total score between 0 and 30. The Japanese version of the EPDS has good reliability and validity. In this study, the Cronbach's alpha of the EPDS was 0.86. Individuals with a score of 9 or more are considered to be at a high risk of postpartum depression in Japan (Okano, 1996). In addition, we considered a cut-off of ≥11 and ≥13, consistent with a recent systematic review and meta-analysis that reported that a cutoff value of 11 or higher maximized combined sensitivity and specificity, and a cut-off value of 13 or higher was less sensitive but more specific (Levis et al., 2020).

2.2.4. The timing of delivery

The timing of delivery was categorized into three stages: before the first state of emergency (October 2019 to March 2020), during the first state of emergency (April to May 2020), and after the first state of emergency (June to October 2020). To investigate the effect of the state of emergency, we compared the number of mothers who experienced social restrictions and the loss of social support according to the timing of delivery.

2.2.5. Confounders

Based on the reported predictors of postpartum depression (Beck, 2001; McCoy et al., 2006) and the specific COVID-19 measures, we measured potential confounders as follows: age (<29, 30–34, 35–39, or over 40), residential area (prefectures under special precautions or others), education (high school or lower, junior college/vocational school, or university or higher), annual household income during the previous year (199 or less, 200–399, 400–599, 600–799, 800–999, 1,000 or more, or unknown [ten thousand Japanese yen]), having a partner/husband (yes or no), living with a partner/husband (yes or no), living with parents/parents-in-law (yes or no), parity (primipara, multipara), unplanned/unwanted pregnancy, and depression (never, past, or current).

2.3. Statistical analyses

The following three kinds of people were considered to have inaccurate responses; those who selected “yes” to all disease lists (do you have the following diseases? [16 items]), those who selected “using some times or almost every day” for all items on alcohol product or drug use (Do you currently use alcohol products or drugs? [9 items]), and those who selected other than “D” from “A B C D E" in the question of “please select the second option from the bottom.” We excluded respondents with discrepancies or artificial/unnatural responses (n = 42; remaining n = 558).

First, we compared the prevalence of postpartum depression among each socio-demographic variable using chi-square tests. We then compared the percentages of participants who experienced social restrictions or loss of support during of after pregnancy using chi-square tests. Lastly, the prevalence ratios of postpartum depression (defined as an EPDS score of ≥9, 11, and 13) among those who had experienced social restrictions, loss of support, or loss of autonomy during pregnancy or after delivery were estimated using a log-binomial regression model. This model was selected because prevalence of postpartum depression is over 10%, and the odds ratio could overestimate the prevalence ratio (Barros and Hirakata, 2003). In the analyses, we first adjusted for age, education, household income, residential area, parity, and delivery time. Subsequently, we adjusted for the prior history of depression. The level of significance was set at p < 0.05 (two-tailed). Statistical analyses were conducted using SPSS 27.0 for Windows (IBM, Japan).

3. Results

3.1. Characteristics of the participants

After excluding 42 participants who provided inaccurate responses, we analyzed the data of 558 women. Approximately 46.2% were aged 30–34, 67.4% lived in prefectures under special precautions, 51.1% graduated university, 28.0% received 4.0–5.9 million yen as an annual household income, 99.3% had a partner/husband, 97.5% lived with a partner/husband, 94.3% did not live with their parents or parents-in-law, 52.7% were primipara, and 90.5% never had depression previously (Table 1 ).

Table 1.

Characteristics of the participants (N = 558).




Postnatal depression (EPDS)
≥9
≥11
≥13
n % Mean (SD) n (%) n (%) n (%)
Age 32.2 (4.1) p = .428 p = .129 p = .114
 < 29 140 25.1 47 (33.6) 34 (24.3) 26 (18.6)
 30–34 258 46.2 73 (28.3) 43 (16.7) 27 (10.5)
 35–39 134 24.0 34 (25.4) 25 (18.7) 18 (13.4)
 Over 40 26 4.7 6 (23.1) 2 (7.7) 2 (7.7)
Residential area p = .163 p = .048 p = .229
 Prefectures under special precautions 376 67.4 115 (30.6) 79 (21.0) 54 (14.4)
 Others 182 32.6 45 (24.7) 25 (13.7) 19 (10.4)
Education p = .031 p = .069 p = .327
 High school or lower 113 20.3 42 (37.2) 28 (24.8) 18 (15.9)
 Junior college/vocational school 160 28.7 36 (22.5) 22 (13.8) 16 (10.0)
 University or higher 285 51.1 82 (28.8) 54 (18.9) 39 (13.7)
Annual household income during the previous year (Ten thousand Japanese yen) p = .112 p = .691 p = .463
 199 or less 16 2.9 4 (25.0) 2 (12.5) 2 (12.5)
 200–399 74 13.3 30 (40.5) 18 (24.3) 14 (18.9)
 400–599 156 28.0 47 (30.1) 28 (17.9) 22 (14.1)
 600–799 120 21.5 28 (23.3) 21 (17.5) 15 (12.5)
 800–999 79 14.2 18 (22.8) 12 (15.2) 5 (6.3)
 1000 or more 49 8.8 11 (22.4) 8 (16.3) 6 (12.2)
 Unknown 64 11.5 22 (34.4) 15 (23.4) 9 (14.1)
Having a partner/husband p = .325 p = 1.000 p = 1.000
 Yes 554 99.3 158 (28.5) 104 (18.8) 73 (13.2)
 No 4 0.7 2 (50.0) 0 (0.0) 0 (0.0)
Living with a partner/husband p = 1.000 p = .485 p = 1.000
 Yes 544 97.5 156 (28.7) 103 (18.9) 72 (13.2)
 No 14 2.5 4 (28.6) 1 (7.1) 1 (7.1)
Living with parents/parents-in-law p = .693 p = 1.000 p = 1.000
 Yes 32 5.7 10 (31.3) 6 (18.8) 4 (12.5)
 No 526 94.3 150 (28.5) 98 (18.6) 69 (13.1)
Parity p = .004 p = .050 p = .033
 Primipara 294 52.7 60 (22.7) 40 (15.2) 26 (9.8)
 Multipara 264 47.3 100 (34.0) 64 (21.8) 47 (16.0)
Timing of delivery p = .205 p = .238 p = .164
 Oct 2019 to Mar 2020 (7–12 months postpartum) 186 33.3 61 (32.8) 42 (22.6) 31 (16.7)
 Apr to May 2020 (5–6 months postpartum) 188 33.7 46 (24.5) 31 (16.5) 19 (10.1)
 Jun to Oct 2020 (0–4 months postpartum) 184 33.0 53 (28.8) 31 (16.8) 23 (12.5)
Unplanned/unwanted pregnancy p = .895 p = .878 p = .600
 Yes 82 14.7 136 (28.6) 88 (18.5) 61 (12.8)
 No 476 85.3 24 (29.3) 16 (19.5) 12 (14.6)
Depression p = .020 p = .001 p = .009
 Never 505 90.5 137 (27.1) 87 (17.2) 60 (11.9)
 Past 43 7.7 17 (39.5) 11 (25.6) 9 (20.9)
 Current 10 1.8 6 (60.0) 6 (60.0) 4 (40.0)
Postnatal Depression (EPDS)
 Total score (0–27) 6.5 (5.2)
 EPDS ≥9
 Yes 160 28.7
 No 398 71.3
 EPDS ≥11
 Yes 104 18.6
 No 454 81.4
 EPDS ≥13
 Yes 73 13.1
 No 485 86.9

EPDS: Edinburgh postnatal depression scale; SD: standard deviation.

3.2. Prevalence of postpartum depression

Regarding the overall prevalence of postpartum depression, 28.7% participants had an EPDS score ≥9), 18.6% had an EPDS score ≥11, and 13.1% had an EPDS score ≥13 (Table 1). When considering the results of EPDS ≥9, participants whose educational attainment was high school or lower vs. college/university or higher (37.2% vs. 22.5%; 28.8%, p = .031), multipara vs. primipara (34.0% vs. 22.7%, p = .004), and had experienced depression currently or past vs. never (66.0%; 39.5% vs. 27.1%, p = .020) were more likely to have postpartum depression. There was no significant difference in the prevalence of postpartum depression according to the time of delivery.

3.3. Social restrictions, loss of support, loss of autonomy during pregnancy, and timing of delivery

During pregnancy, 63.1% of participants had experienced cancellation of birth and parenting classes, 25.1% felt that compelled to follow the doctor’s instructions without communicating their preferences for delivery and breastfeeding, 17.6% were unable to speak with a friend or acquaintance about problems during pregnancy, 10.2% gave up hometown delivery, and 5% reduced the number of prenatal checkups (Table 2 ). Overall, 1.6% were transferred because the hospital stopped accepting deliveries or because the hospital/clinic where the hometown delivery had been scheduled refused to perform it.

Compared to postpartum women who delivered a baby before the pandemic (October 2019 to March 2020), those who delivered during the pandemic (April to May 2020 [a state of emergency] and June to October 2020) were more likely to be unable to attend birth and parenting classes during pregnancy (36.6% vs. 70.2% or 82.6%, p < .001) or give up hometown delivery (5.4% vs. 12.8% or 12.5%, p = .028).

3.4. Social restrictions or loss of support after delivery and the timing of delivery

After delivery, 73.1% of the postpartum women experienced restrictions on family members' visits during their hospital stay and the absence of their husbands during childbirth (Table 3 ). In addition, 24.7% were unable to get their parents or other family members to come and help them after delivery; 22.2% felt that there were few opportunities for doctors, midwives, and nurses to teach them about childcare and breastfeeding; 14.3% were unable to talk to a friend or acquaintance about breastfeeding or childcare issues; 13.4% were unable to consult with a doctor or midwife about their health; and 13.3% voluntarily refrained from receiving home visits by public health nurses or midwives.

Compared to postpartum women who delivered babies before the pandemic, those who delivered during the pandemic were more likely to experience the restriction of their family members' visits during their hospital stay (27.4% vs. 96.3% or 95.7%, p < .001), lack of support from healthcare professionals or family members (10.8% vs. 33.5% or 22.3%, p < .001), and cancellation of planned stay at their parents' or parents-in-laws' house (4.8% vs. 15.4% or 12.0%, p = .003). Those who delivered their babies during the first state of emergency were more likely to voluntarily refrain from receiving home visits by public health nurses or midwives after delivery than those who delivered babies before the pandemic or after the first state of emergency was lifted (20.7% vs. 11.3% or 7.6%, p < .001). On the other hand, mothers who labored before the pandemic were more likely to experience cancellation of infant health checkups or vaccinations despite their request (8.6% vs. 3.7% or 3.3%, p = .037).

3.5. Social restrictions, loss of support, and loss of autonomy during pregnancy and postpartum depression

After adjusting for age, education, household income, residential area, parity, the timing of delivery, a prior history of depression, loss of autonomy about delivery or breastfeeding and loss of opportunity to talk with friends about concerns during pregnancy were associated with postnatal depression (EPDS ≥11 and 13) (Table 4 ). Additionally, when an outcome was defined as an EPDS score ≥9, reducing the number of prenatal checkups and giving up hometown delivery were found to be significantly associated with postnatal depression.

Table 4.

Social restrictions and lack of support during pregnancy and postpartum depression: log-binominal regression analysis.


Number of cases (%)
Prevalence ratios of postnatal depression
EPDS ≥9 EPDS ≥11 EPDS ≥13 EPDS ≥9 EPDS ≥11 EPDS ≥13
Social restrictions
Reduced the number of prenatal checkups
 Yes 12 (42.9) 8 (28.6) 6 (21.4) 1.59 (1.00 to 2.51) 1.72 (0.93 to 3.18) 1.79 (0.84 to 3.81)
 No 148 (27.9) 109 (20.6) 75 (14.2) 1.00 1.00 1.00
Cancellation of birth and parenting classes
Yes 92 (26.1) 67 (19.0) 44 (12.5) 0.86 (0.62 to 1.19) 0.88 (0.59 to 1.31) 0.70 (0.44 to 1.11)
No 68 (33.0) 50 (24.3) 37 (18.0) 1.00 1.00 1.00
Loss of social support
Gave up hometown delivery
Yes 24 (42.1) 19 (33.3) 11 (19.3) 1.48 (1.06 to 2.06) 1.48 (0.92 to 2.38) 1.50 (0.84 to 2.66)
No 136 (27.1) 98 (19.6) 70 (14.0) 1.00 1.00 1.00
Unable to talk with friends about concerns during pregnancy
Yes 46 (46.9) 41 (41.8) 30 (30.6) 1.86 (1.42 to 2.43) 2.73 (1.96 to 3.80) 3.39 (2.21 to 5.21)
No 114 (24.8) 76 (16.5) 51 (11.1) 1.00 1.00 1.00
Loss of autonomy
Compelled to follow the doctor's instructions without communicating their preferences for delivery and breastfeeding
 Yes 54 (38.6) 42 (30.0) 29 (20.7) 1.50 (1.15 to 1.95) 1.61 (1.13 to 2.28) 1.69 (1.09 to 2.63)
 No 106 (25.4) 75 (17.9) 52 (12.4) 1.00 1.00 1.00

Adjusting for age, education, household income, residential area, parity, delivery time, and a prior history of depression.

3.6. Social restrictions or lack of support after delivery and postnatal depression

Among social restriction variables, loss of opportunities to receive home visits by healthcare professionals and loss of opportunities to receive infant checkups and vaccinations were significantly associated with all definitions of postnatal depression (EPDS ≥9, 11, and 13), after adjusting for age, education, household income, residential area, parity, the timing of delivery, and a prior history of depression (Table 5 ). The absence of a husband at childbirth was significantly associated with postnatal depression only in the EPDS ≥9 model. In contrast, restrictions on family visits during hospital stay were significantly associated with postnatal depression only in the EPDS ≥13 model.

Table 5.

Social restriction and lack of support after childbirth and postpartum depression: log-binominal regression analysis.


Number of cases (%)
Prevalence ratios of postnatal depression
EPDS ≥9 EPDS ≥11 EPDS ≥13 EPDS ≥9 EPDS ≥11 EPDS ≥13
Social restrictions
No husband/partner attendance in the delivery room despite their wish
 Yes 11 (47.8) 8 (34.8) 5 (21.7) 1.75 (1.11 to 2.74) 1.53 (0.84 to 2.79) 1.19 (0.50 to 2.85)
 No 125 (27.4) 82 (18.0) 58 (12.7) 1.00 1.00 1.00
Restrictions on family visits during hospital stay
 Yes 110 (27.0) 78 (19.1) 50 (12.3) 0.81 (0.61 to 1.07) 0.79 (0.47 to 1.35) 0.50 (0.26 to 0.98)
 No 50 (33.3) 39 (26.0) 31 (20.7) 1.00 1.00 1.00
Not given home visits services by public health nurses or midwives despite their request
 Yes 11 (45.8) 11 (45.8) 8 (33.3) 1.64 (1.04 to 2.59) 2.36 (1.49 to 3.74) 2.49 (1.39 to 4.47)
 No 149 (27.9) 106 (19.9) 73 (13.7) 1.00 1.00 1.00
Voluntarily refrained from receiving home visits by public health nurses or midwives
 Yes 23 (31.1) 19 (25.7) 14 (18.9) 1.10 (0.76 to 1.59) 1.43 (0.93 to 2.20) 1.42 (0.82 to 2.45)
 No 137 (28.3) 98 (20.2) 67 (13.8) 1.00 1.00 1.00
Not given infant health checkups and vaccinations despite their request
 Yes 8 (66.7) 7 (58.3) 6 (50.0) 2.03 (1.40 to 2.94) 2.84 (1.80 to 4.48) 4.69 (2.89 to 7.61)
 No 152 (27.8) 110 (20.1) 75 (13.7) 1.00 1.00 1.00
Voluntarily refrained from having infant checkups and vaccinations
 Yes 7 (58.3) 7 (58.3) 6 (50.0) 2.20 (1.57 to 3.08) 3.76 (2.57 to 5.48) 4.61 (2.86 to 7.43)
 No 153 (28.0) 110 (20.1) 75 (13.7) 1.00 1.00 1.00
Loss of social support
Cancellation of parents or other family members' visits to support
 Yes 53 (38.4) 42 (30.4) 30 (21.7) 1.51 (1.15 to 1.97) 1.95 (1.38 to 2.75) 2.12 (1.39 to 3.23)
 No 107 (25.5) 75 (17.9) 51 (12.1) 1.00 1.00 1.00
Cancellation of planned stay at their parents'/parents-in-laws' house
 Yes 25 (41.7) 23 (38.3) 15 (25.0) 1.54 (1.10 to 2.14) 2.21 (1.50 to 3.24) 2.17 (1.29 to 3.66)
 No 135 (27.1) 94 (18.9) 66 (13.3) 1.00 1.00 1.00
Few opportunities of being taught about childcare and breastfeeding by doctors, midwives, and nurses at hospital ward
 Yes 45 (36.3) 33 (26.6) 27 (21.8) 1.37 (1.03 to 1.81) 1.52 (1.04 to 2.21) 1.96 (1.25 to 3.07)
 No 115 (26.5) 84 (19.4) 54 (12.4) 1.00 1.00 1.00
Unable to consult with doctors or midwives about their health despite their needs
 Yes 34 (45.3) 29 (38.7) 20 (26.7) 1.74 (1.30 to 2.32) 1.98 (1.34 to 2.93) 2.28 (1.37 to 3.81)
 No 126 (26.1) 88 (18.2) 61 (12.6) 1.00 1.00 1.00
Unable to talk with friends about breastfeeding or childcare issues despite their needs
Yes 39 (48.8) 35 (43.8) 22 (27.5) 1.93 (1.47 to 2.53) 2.50 (1.77 to 3.52) 2.48 (1.57 to 3.93)
No 121 (25.3) 82 (17.2) 59 (12.3) 1.00 1.00 1.00

Adjusting for age, education, household income, residential area, parity, delivery time, and a prior history of depression.

All of the social support variables, including loss of parents' or family members' support, cancellation of staying at parents' or parents-in-law's house, few opportunities to learn about childcare and breastfeeding from healthcare professionals during the hospital stay, loss of opportunities to consult with healthcare professionals about their health, and loss of opportunities to talk with a friend/acquaintance about breastfeeding or childcare issues, were significantly associated with all definitions of postnatal depression.

4. Discussion

This study investigated the effect of social restrictions or lack of social support on postpartum depression among women who delivered and raised babies during the pandemic. Various social restrictions, including the loss of opportunities to receive infant health checkups and vaccinations, loss of support from healthcare professionals, families, or friends, and loss of autonomy regarding delivery or breastfeeding, were significantly associated with postnatal depression after adjusting for potential confounders. The results indicate that both formal and informal support should not be limited to preventing postpartum depression during the COVID-19 pandemic.

When using a cutoff value of 9, the prevalence of postpartum depression was 28.7% in the current study, which is much higher than the prevalence of 14.4% among postpartum women during the pandemic (Suzuki, 2020) or a recent meta-analysis for Japanese women (14.3%) (Tokumitsu et al., 2020). On the other hand, when using higher cutoff points (≥11 or 13), the prevalence of postpartum depression in the current study (18.6% or 13.1%) was much lower than that in other studies in countries with high death tolls due to COVID-19: 28.6% or 44.2% (both EPDS ≥13) in Italy (Ostacoli et al., 2020; Zanardo et al., 2020); 56.9% (EPDS ≥10) in China (An et al., 2021). However, the prevalence was similar to other studies with the same definition (EPDS ≥13): 17% among Japanese pregnant women during the pandemic (Matsushima and Horiguchi, 2020), or 13–17% in meta-analyses before the pandemic (Hahn-Holbrook et al., 2017; O’Hara and Swain, 1996). This indicates that mothers with a severe level of postpartum depression are few in Japan compared to other countries with high death tolls due to COVID-19 but those with a mild level of postpartum depression are prevalent, even where one of the smallest death tolls was reported due to COVID-19 (8,929 as of March 25, 2021, in Japan).

Surprisingly, the highest prevalence of postpartum depression in the current study was found among postpartum women who delivered babies between October 2019 and March 2020, which was 7–12 months postpartum, although the difference was not significant. As reported by a recent meta-analysis (Tokumitsu et al., 2020), the prevalence of depression usually decreases during the postpartum period. For example, the period prevalence of postpartum depression (EPDS ≥9) was 15.1% within the first month, 11.6% at 1–3 months, 11.5% at 3–6 months, and 11.5% at 6–12 months after birth (Tokumitsu et al., 2020). Mothers who delivered babies from October 2019 to March 2020 had to raise their baby during a state of emergency (April–May 2020), and they were hesitant to even go outside for a walk because of the high social pressure to stay at home. The elementary schools or nursery schools were closed and their husbands started to work from home; the mothers had to take care of their babies and husbands, which increased mothers' demands and raised their anxiety about raising their children (Takaku and Yokoyama, 2021). This can influence the high prevalence of postpartum depression among who were 7–12 months postpartum in the current study. As the COVID-19 pandemic may have changed the pre-pandemic trend of postpartum depression, healthcare professionals should provide long-term care for postpartum mothers.

Postpartum women who delivered babies during the pandemic were more likely to experience social restrictions and loss of support during pregnancy and after delivery than those who delivered babies before the pandemic. Under the birth facilities' COVID-19 preventive measures (Japanese Society of Obstetrics and Gynecology, 2020), they lost opportunities to attend birth and parenting classes, consult with healthcare professionals, or accept family visits during the hospital stay, and had to cancel hometown delivery or a planned stay at their parents' or parents-in-laws' house. This is consistent with a study that reported that many pregnant women experienced social restrictions during the pandemic (Matsushima and Horiguchi, 2020). These social restrictions would cause a loss of social support from healthcare professionals, families, and friends. For example, one-third of the women in this study answered that they they could not get support from their parents or other family members. Although surveys of social restrictions have been conducted for birth facilities (Komatsu et al., 2020) and pregnant women (Matsushima and Horiguchi, 2020), no study has asked postpartum women what kind of social restrictions, loss of support, or loss of autonomy they experienced during the pandemic. The results of this study expand the scientific evidence and indicate that the COVID-19 preventive measures expose mothers to loss of social support.

Various COVID-19 related social restrictions and a lack of social support were found to be associated with postnatal depression in our study. This is consistent with a previous study on pregnant women that reported the cancellation of planned informal support and not receiving informal childcare support associated with prenatal depression during the COVID-19 pandemic (Matsushima and Horiguchi, 2020), as well as a study reporting that a lack of social support is a risk factor for postpartum depression (Beck, 2001; Collins et al., 1993). In addition to this evidence, the current study revealed three specific variables associated with postpartum depression during the pandemic, 1) loss of support from healthcare professionals, 2) loss of support from family or friends, and 3) loss of maternal autonomy in delivery and breastfeeding.

Social support from healthcare professionals mainly consists of informational support (e.g., information that might be used to deal with stress) (Cohen et al., 1985; Robertson et al., 2004) because they provide information on how to breathe during delivery or how to raise a child at prenatal checkups, hospital stay, and infant checkups. In this study, 20–30% of mothers who gave birth during the pandemic experienced fewer opportunities to be taught about childcare and breastfeeding by doctors, midwives, and nurses during their hospital stay, and they were twice as likely to have postpartum depression than those who did not. This indicates that the lack of informational support could be associated with postpartum depression, which is consistent with a report indicating that receiving informational support protect against postpartum depression (Heh and Fu, 2003). Although face-to-face communication is difficult during the pandemic, online consulting provided by healthcare professionals would be beneficial for postpartum women since most mothers prefer one-on-one support when postpartum depression is recognized (Letourneau et al., 2007).

Support from family or friends can include emotional support (e.g., expression of caring), tangible or instrumental support (e.g., direct material aid including finance), or belonging support (e.g., having others to engage in social activities) (Cohen et al., 1985; Robertson et al., 2004). In this study, mothers who experienced a loss of support from their parents or other family members or a loss of opportunities to consult with friends about childcare were twice as likely to have postpartum depression. As previously reported (Beck, 2001; O’Hara and Swain, 1996), emotional and instrumental support are vital in preventing postpartum depression. This study indicates that informal support can prevent postnatal depression, in addition to formal support from healthcare professionals.

Approximately 25% of the mothers experienced a loss of maternal autonomy in delivery or breastfeeding during the COVID-19 pandemic. According to a longitudinal study (Gauthier et al., 2010), high levels of parental autonomous motivation (autonomy) predict lower levels of depressive symptoms among mothers. According to SDT (Deci and Ryan, 2000), a lack of needs satisfaction or the presence of need frustration may pose a risk for adverse psychological health, as several studies have suggested that it determines maternal well-being or quality of parenting (Brenning and Soenens, 2017; Gauthier et al., 2010). Moreover, a study reported a sense of control predicts depressive and anxious symptoms in mothers (Keeton et al., 2008). Thus, the findings of our study showing the association between a loss of autonomy in delivery or breastfeeding and postpartum depression align with these studies.

Contrary to our expectations, giving up hometown delivery was not significantly associated with postpartum depression when defined as EPDS ≥11 or 13, although the association was significant when using the definition of EPDS ≥9. This indicates that the association between hometown delivery and postpartum depression is weak. Although a non-significant association was against our expectation, this is consistent with a cross-cultural study that reported that hometown delivery itself did not lower the incidence of postnatal depression (Yoshida et al., 2001). When a woman delivered her baby in her hometown, she usually stayed at her parents' home for several months. This helped her to receive support from her parents, but at the same time, she lost support from her partner because they had to live separately. Yoshida noted out that this is a disadvantage of hometown delivery (Yoshida et al., 2001), implying that hometown delivery may not always prevent postpartum depression.

While the cancellation of birth and parenting classes was not associated with postpartum depression, restrictions on family visits during the hospital stay were negatively associated with postpartum depression. This might be due to the matching hypothesis of social support, which states that social support buffers stress only when that support matches the stressful event or the receiver's need (Cohen and Wills, 1985). Whether support responds to an individual's needs or is perceived as supportive is more important than increasing the amount of support received (Wills and Shinar, 2000); whether attending birth and parenting classes would reduce mothers' stress and prevent postpartum depression depends on an individual's case. In other words, if birth and parenting classes match mothers' needs, it may be beneficial for their mental health. In contrast, mothers who experienced restrictions on family visits during their hospital stay were less likely to have postpartum depression. This might be because mothers were able to rest during the hospital stay, owing to the lack of visitors. However, this association was only significant in the EPDS ≥13 model; therefore, our results should be generalized with caution.

5. Limitations

The current study had several limitations. First, we could not determine a causal relationship because of the cross-sectional study design. Although participants' experiences during pregnancy or the hospital stay cannot be changed because this study was limited to postpartum women, the variables of infant checkups and vaccinations or social support from healthcare professionals, families, and friends may be affected by psychological health status. We plan a follow-up survey to address this. Second, postpartum depression was defined on a scale that was not diagnosed by a doctor. Although EPDS is commonly used in epidemiological studies, its prevalence and association with other variables might differ from those of clinically diagnosed postpartum depression. Finally, there might be a sampling bias due to the nature of the online survey. In addition, since the participants had to answer many questions, some postpartum women with severe depression were unable to respond, which may have underestimated the prevalence of postpartum depression. A longitudinal study with large sample size is needed to clarify the association between social restrictions and postpartum depression during the COVID-19 pandemic.

6. Conclusions

At least 13% of women who delivered and raised a baby during the COVID-19 pandemic had postpartum depressive symptoms above the cut-off (EPDS ≥13). COVID-19 related social restrictions and loss of social support from healthcare professionals, families, and friends were significantly associated with postpartum depression. In addition, loss of maternal autonomy in delivery and breastfeeding was associated with the risk of postpartum depression. The results indicate that both formal and informal support should not be limited to preventing postpartum depression during a pandemic.

CRediT authorship contribution statement

K.T., S.O., and T.T. designed the study, wrote the protocol, and collected the data. K.T. undertook the statistical analysis and wrote the first draft of the manuscript. All authors significantly contributed to the interpretation of the data and revising the manuscript. All authors have approved the final manuscript.

Funding

The JACSIS study was supported by the Japan Society for the Promotion of Science (JSPS) KAKENHI Grants [grant number: 17H03589; 18H03062; 18H03107; 19K10446; 19K10671], the JSPS Grant-in-Aid for Early-Career Scientists [grant number: 19K19439], Research Support Program to Apply the Wisdom of the University to tackle COVID-19 Related Emergency Problems, University of Tsukuba, and Health Labour Sciences Research Grant [grant number: 19FA1005; 19FG2001]. The findings and conclusions of this article are the sole responsibility of the authors and do not represent the official views of the research funders. The authors report no conflicts of interest.

Ethical issues

The study protocol was reviewed and approved by the Research Ethics Committee of the Osaka International Cancer Institute (approved on June 19, 2020; approval number 20084). All participants provided web-based informed consent before responding to the online questionnaire. A credit point known as “Epoints,” which could be used for internet shopping and cash conversion, was provided to the participants as an incentive.

Data availability

The data used in this study are not available in a public repository because they contain personally identifiable or potentially sensitive patient information. Based on the regulations for ethical guidelines in Japan, the Research Ethics Committee of the Osaka International Cancer Institute has imposed restrictions on the dissemination of the data collected in this study. All data inquiries should be addressed to the person responsible for data management, Dr. Takahiro Tabuchi at the following e-mail address: tabuchitak@gmail.com.

Declaration of competing interest

The authors report no conflicts of interest.

Acknowledgements

We thank all researchers who participated and provided supports to the JACSIS study. The first author (K.T.) also thanks to her second son, who was born healthy during the COVID-19 pandemic (December 2020).

References

  1. An R., Chen X., Wu Y., Liu J., Deng C., Liu Y., Guo H. A survey of postpartum depression and health care needs among chinese postpartum women during the pandemic of COVID-19. Arch. Psychiatr. Nurs. 2021;35:172–177. doi: 10.1016/j.apnu.2021.02.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Barros A.J., Hirakata V.N. Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio. BMC Med. Res. Methodol. 2003;3:1–13. doi: 10.1186/1471-2288-3-21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Beck C.T. Predictors of postpartum depression: an update. Nurs. Res. 2001;50:275–285. doi: 10.1097/00006199-200109000-00004. [DOI] [PubMed] [Google Scholar]
  4. Brenning K., Soenens B. A self-determination theory perspective on postpartum depressive symptoms and early parenting behaviors. J. Clin. Psychol. 2017;73:1729–1743. doi: 10.1002/jclp.22480. [DOI] [PubMed] [Google Scholar]
  5. Cabinet Office . 2020 Annual Report on the State of the Formation of a Gender Equal Society. Cabinet Office; Tokyo: 2020. The balance between housework, childbearing, nursing, and work; pp. 3–87. [Google Scholar]
  6. Cohen S., Wills T.A. Stress, social support, and the buffering hypothesis. Psychol. Bull. 1985;98:310–357. [PubMed] [Google Scholar]
  7. Cohen S., Mermelstein R., Kamarck T., Hoberman H.M. Measuring the Functional Components of Social Support, Social Support: Theory, Research and Applications. Springer; 1985. pp. 73–94. [Google Scholar]
  8. Collins N.L., Dunkel-Schetter C., Lobel M., Scrimshaw S.C. Social support in pregnancy: psychosocial correlates of birth outcomes and postpartum depression. J. Pers. Soc. Psychol. 1993;65:1243–1258. doi: 10.1037//0022-3514.65.6.1243. [DOI] [PubMed] [Google Scholar]
  9. Cox J.L., Holden J.M., Sagovsky R. Detection of postnatal depression: development of the 10-item Edinburgh postnatal depression scale. Br. J. Psychiatry. 1987;150:782–786. doi: 10.1192/bjp.150.6.782. [DOI] [PubMed] [Google Scholar]
  10. Deci E.L., Ryan R.M. The" what" and" why" of goal pursuits: human needs and the self-determination of behavior. Psychol. Inq. 2000;11:227–268. [Google Scholar]
  11. Durankus F., Aksu E. Effects of the COVID-19 pandemic on anxiety and depressive symptoms in pregnant women: a preliminary study. J. Matern. Fetal Neonatal Med. 2020;35:205–211. doi: 10.1080/14767058.2020.1763946. [DOI] [PubMed] [Google Scholar]
  12. Gauthier L., Guay F., Senécal C., Pierce T. Women’s depressive symptoms during the transition to motherhood: the role of competence, relatedness, and autonomy. J. Health Psychol. 2010;15:1145–1156. doi: 10.1177/1359105310364170. [DOI] [PubMed] [Google Scholar]
  13. 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. 2017;8:248. doi: 10.3389/fpsyt.2017.00248. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Heh S.S., Fu Y.Y. Effectiveness of informational support in reducing the severity of postnatal depression in Taiwan. J. Adv. Nurs. 2003;42:30–36. doi: 10.1046/j.1365-2648.2003.02576.x. [DOI] [PubMed] [Google Scholar]
  15. Hessami K., Romanelli C., Chiurazzi M., Cozzolino M. COVID-19 pandemic and maternal mental health: a systematic review and meta-analysis. J. Matern. Fetal Neonatal Med. 2020:1–8. doi: 10.1080/14767058.2020.1843155. [DOI] [PubMed] [Google Scholar]
  16. Ikeda T., Igarashi A., Odani S., Murakami M., Tabuchi T. Health-related quality of life during COVID-19 pandemic: assessing impacts of job loss and financial support programs in Japan. Appl. Res. Qual. Life. 2021:1–17. doi: 10.1007/s11482-021-09918-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Japanese Society of Obstetrics and Gynecology . Japanese Society of Obstetrics and Gynecology; Tokyo: 2020. To Pregnant Women: About Hometown Delivery [in Japanese]http://www.jsog.or.jp/modules/jsogpolicy/index.php?content_id=11 [Google Scholar]
  18. Keeton C.P., Perry-Jenkins M., Sayer A.G. Sense of control predicts depressive and anxious symptoms across the transition to parenthood. J. Fam. Psychol. 2008;22:212–221. doi: 10.1037/0893-3200.22.2.212. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Komatsu H., Banno K., Yanaihara N., Kimura T., Board Members of Japan Society of O., Gynecology Prevention and practice during the COVID-19 emergency declaration period in Japanese obstetrical/gynecological facilities. J. Obstet. Gynaecol. Res. 2020;46:2237–2241. doi: 10.1111/jog.14432. [DOI] [PubMed] [Google Scholar]
  20. Lebel C., MacKinnon A., Bagshawe M., Tomfohr-Madsen L., Giesbrecht G. Elevated depression and anxiety symptoms among pregnant individuals during the COVID-19 pandemic. J. Affect. Disord. 2020;277:5–13. doi: 10.1016/j.jad.2020.07.126. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Letourneau N., Duffett-Leger L., Stewart M., Hegadoren K., Dennis C.L., Rinaldi C.M., Stoppard J. Canadian mothers' perceived support needs during postpartum depression. J. Obstet. Gynecol. Neonatal. Nurs. 2007;36:441–449. doi: 10.1111/j.1552-6909.2007.00174.x. [DOI] [PubMed] [Google Scholar]
  22. Levis B., Negeri Z., Sun Y., Benedetti A., Thombs B.D., DEPRESsion Screening Data (DEPRESSD) EPDS Group Accuracy of the Edinburgh Postnatal Depression Scale (EPDS) for screening to detect major depression among pregnant and postpartum women: systematic review and meta-analysis of individual participant data. BMJ. 2020;371 doi: 10.1136/bmj.m4022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Looi M.K. Covid-19: Japan prepares to extend state of emergency nationwide as “untraceable” cases soar. BMJ. 2020;369 doi: 10.1136/bmj.m1543. [DOI] [PubMed] [Google Scholar]
  24. Matsushima M., Horiguchi H. The COVID-19 pandemic and mental well-being of pregnant women in Japan: need for economic and social policy interventions. Disaster Med. Public Health Prep. 2020:1–6. doi: 10.1017/dmp.2020.334. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. McCoy S.J.B., Beal J.M., Shipman S.B.M., Payton M.E., Watson G.H. Risk factors for postpartum depression: a retrospective investigation at 4-weeks postnatal and a review of the literature. J. Osteopath. Med. 2006;106:193–198. [PubMed] [Google Scholar]
  26. Miyawaki A., Tabuchi T., Tomata Y., Tsugawa Y. Association between participation in the government subsidy programme for domestic travel and symptoms indicative of COVID-19 infection in Japan: cross-sectional study. BMJ Open. 2021;11 doi: 10.1136/bmjopen-2021-049069. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. O’Hara M.W., Swain A.M. Rates and risk of postpartum depression—a meta-analysis. Int. Rev. Psychiatry. 1996;8:37–54. [Google Scholar]
  28. Okano T. Validation and reliability of a Japanese version of the EPDS. Arch. Psychiatr. Diagn. Clin. Eval. 1996;7:525–533. [Google Scholar]
  29. Ostacoli L., Cosma S., Bevilacqua F., Berchialla P., Bovetti M., Carosso A.R., Malandrone F., Carletto S., Benedetto C. Psychosocial factors associated with postpartum psychological distress during the Covid-19 pandemic: a cross-sectional study. BMC Pregnancy Childbirth. 2020;20:703. doi: 10.1186/s12884-020-03399-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Robertson E., Grace S., Wallington T., Stewart D.E. Antenatal risk factors for postpartum depression: a synthesis of recent literature. Gen. Hosp. Psychiatry. 2004;26:289–295. doi: 10.1016/j.genhosppsych.2004.02.006. [DOI] [PubMed] [Google Scholar]
  31. Suzuki S. Psychological status of postpartum women under the COVID-19 pandemic in Japan. J. Matern. Fetal Neonatal Med. 2020:1–3. doi: 10.1080/14767058.2020.1763949. [DOI] [PubMed] [Google Scholar]
  32. Takaku R., Yokoyama I. What the COVID-19 school closure left in its wake: evidence from a regression discontinuity analysis in Japan. J. Public Econ. 2021;195 doi: 10.1016/j.jpubeco.2020.104364. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Tokumitsu K., Sugawara N., Maruo K., Suzuki T., Shimoda K., Yasui-Furukori N. Prevalence of perinatal depression among Japanese women: a meta-analysis. Ann. General Psychiatry. 2020;19:41. doi: 10.1186/s12991-020-00290-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Viaux S., Maurice P., Cohen D., Jouannic J.M. Giving birth under lockdown during the COVID-19 epidemic. J. Gynecol. Obstet. Hum. Reprod. 2020;49 doi: 10.1016/j.jogoh.2020.101785. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Wills T.A., Ainette M.C. In: Handbook of Health Psychology. Baum A., Revenson T.A., Singer J., editors. Psychology Press; 2012. Social networks and social support; pp. 465–492. [Google Scholar]
  36. Wills T.A., Shinar O. Social Support Measurement and Intervention: A Guide for Health and Social Scientists. Oxford University Press; New York, NY, US: 2000. Measuring perceived and received social support; pp. 86–135. [Google Scholar]
  37. Wu Y., Zhang C., Liu H., Duan C., Li C., Fan J., Li H., Chen L., Xu H., Li X., Guo Y., Wang Y., Li X., Li J., Zhang T., You Y., Li H., Yang S., Tao X., Xu Y., Lao H., Wen M., Zhou Y., Wang J., Chen Y., Meng D., Zhai J., Ye Y., Zhong Q., Yang X., Zhang D., Zhang J., Wu X., Chen W., Dennis C.L., Huang H.F. Perinatal depressive and anxiety symptoms of pregnant women during the coronavirus disease 2019 outbreak in China. Am. J. Obstet. Gynecol. 2020;223(240):e1–9. doi: 10.1016/j.ajog.2020.05.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Yamada K., Wakaizumi K., Kubota Y., Murayama H., Tabuchi T. Loneliness, social isolation, and pain following the COVID-19 outbreak: data from a nationwide internet survey in Japan. Sci. Rep. 2021;11:18643. doi: 10.1038/s41598-021-97136-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Yoshida K., Yamashita H., Ueda M., Tashiro N. Postnatal depression in japanese mothers and the reconsideration of ‘Satogaeri bunben’. Pediatr. Int. 2001;43:189–193. doi: 10.1046/j.1442-200x.2001.01370.x. [DOI] [PubMed] [Google Scholar]
  40. Zanardo V., Manghina V., Giliberti L., Vettore M., Severino L., Straface G. Psychological impact of COVID-19 quarantine measures in northeastern Italy on mothers in the immediate postpartum period. Int. J. Gynaecol. Obstet. 2020;150:184–188. doi: 10.1002/ijgo.13249. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The data used in this study are not available in a public repository because they contain personally identifiable or potentially sensitive patient information. Based on the regulations for ethical guidelines in Japan, the Research Ethics Committee of the Osaka International Cancer Institute has imposed restrictions on the dissemination of the data collected in this study. All data inquiries should be addressed to the person responsible for data management, Dr. Takahiro Tabuchi at the following e-mail address: tabuchitak@gmail.com.


Articles from Journal of Affective Disorders are provided here courtesy of Elsevier

RESOURCES