Next Article in Journal
Factors Associated with Cultivation of Tobacco in Bangladesh: A Multilevel Modelling Approach
Next Article in Special Issue
Large for Gestational Age and Risk for Academic Delays and Learning Disabilities: Assessing Modification by Maternal Obesity and Diabetes
Previous Article in Journal
Influence of the CAD-CAM Systems on the Marginal Accuracy and Mechanical Properties of Dental Restorations
Previous Article in Special Issue
Gestational Hypertension as Risk Factor of Hypertension in Middle-Aged and Older Women
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Association between Lack of Social Support from Partner or Others and Postpartum Depression among Japanese Mothers: A Population-Based Cross-Sectional Study

Department of Global Health Promotion, Tokyo Medical and Dental University, Tokyo 113-8519, Japan
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(12), 4270; https://doi.org/10.3390/ijerph17124270
Submission received: 26 April 2020 / Revised: 10 June 2020 / Accepted: 11 June 2020 / Published: 15 June 2020
(This article belongs to the Special Issue Maternal-Child Health and Life Course Perspective)

Abstract

:
Lack of social support is a known risk factor for postpartum depression (PPD). However, the association between lack of social support from a partner or others and PPD remains unknown. We examined this association among Japanese mothers. We distributed an original questionnaire to mothers participating in a three- or four-month health check-up program over October to November 2012 in Aichi Prefecture, Japan. Of the 9707 eligible mothers, 6590 responded to the questionnaire (response rate: 68%). Social support from a partner or others was assessed based on whether the mother can consult with her partner or others (i.e., parents, relatives, and friends who are close by or far) on childcare. PPD was assessed with the Edinburgh Postnatal Depression Scale. The data were analyzed using multiple logistic regression analysis for four categories: no social support from either a partner/others, social support from a partner only, social support from others only, and social support from both, adjusted for possible covariates. Mothers who have no social support from either a partner/others, have social support from a partner only, and have social support from others only were 7.22 (95% confidence interval [CI], 1.76–29.6), 2.34 (95% CI, 1.37–3.98), and 3.13 (95% CI, 2.11–4.63) times more likely to show PPD, respectively, in comparison with mothers who have social support from both, after adjustment of possible covariates. Mothers with no social support from a partner, but have social support from others, showed significant risk for PPD, which may be invisible. Further prevention effort is needed to detect PPD cases, with a focus on mothers without support from their partner.

1. Introduction

Postpartum depression (PPD) is a serious mental disorder with a prevalence of approximately 10–15% worldwide [1,2,3]. Women with PPD often have marked distress and dysfunction that disrupt their daily life [4,5], and are more likely to have subsequent depression and suicide [6,7]. Moreover, PPD can impair maternal–infant relationships and psychosocial development of the children [8,9,10,11]. Given the prevalence and the long-term implications for women and their children, PPD represents a public health concern [12].
Recent studies indicated several risk factors for PPD, including low levels of social support, stressful life events, childcare stress, low income and marital dissatisfaction [13,14,15]. Of these factors, social support has been considered both as one of the strongest predictors of PPD and a target of psychosocial intervention [5,13]. In fact, several studies showed poor perceived social support was related to PPD [16,17,18,19,20].
Adult attachment style is one of the major determinants of levels of social support [21]. Women with insecure attachment, who are more likely to have lower levels of social support from a partner and others such as parents or friends, are known to be at higher risk of PPD than those with secure attachment [22,23]. Furthermore, women who have a partner’s support, but do not have others’ support, might also have insecure attachment style [21], whereas women who have others’ support, but who do not have a partner’s support, might have secure attachment style, but have poor marital relationship quality. Considering the adult attachment style theory [24] and previous studies regarding marital relationship [25], having social support from a partner but not from others, or vice versa, may have differential impact on PPD. However, the association of each of the combinations of levels of partner’s support and those of others’ support with PPD has not been investigated.
Furthermore, although it can be assumed the partner is the closest person to the mother, the relevance of social support from a partner for PPD has been rarely explored. The risk of PPD in mothers who lack a partner’s support, but have support from others, is often overlooked, since they receive support from several sources other than their partner, such as parents and friends. Therefore, mothers who have support from others, but not from their partner, may be an important high-risk group. To date, there are few studies that have indicated that both a partner’s support and friends’ and family’s support are independently associated with a lower risk of PPD [25,26,27,28]. Thus, using a population-based sample, we investigated the association between lack of social support from a partner or others and PPD in Japan.

2. Materials and Methods

2.1. Samples

Participants were recruited from Aichi Prefecture, Japan. All 54 municipalities in Aichi were asked to participate in this study, and 45 municipalities agreed, which resulted in 80% coverage of the total population in the prefecture. The target subjects were all mothers (N = 9707) who were registered in a three- or four-month health check-up program for their children between October and November 2012, in participating municipalities. In 34 municipalities, an anonymous questionnaire was mailed directly to the target mothers before the health check-up program, and answered questionnaires were collected at the health check-up site. In the remaining 11 municipalities, the questionnaires were distributed at the check-up sites and the participants sent completed questionnaires by mail to each health center. In total, the participation rate for the three- or four-month health check-up in Aichi Prefecture was 97.9%, and 6590 women responded to the questionnaire (response rate; 68%). Single mothers (i.e., unmarried, divorced, widowed or other) (n = 104) and mothers with missing responses to questions about marital status or social support (n = 395) were excluded from the sample, resulting in a sample size of 6195 mothers.
This study was approved by the Ethics Committee of the National Center for Child Health and Development (code: 611). The Ethics Committee approved that personal informed consent could be exempted if participants responded anonymously to the questionnaire.

2.2. Assessment of Social Support from Partner or Others

The questionnaire assessed women’s social support regarding the number of persons they can consult about childcare and whether mothers can consult with their partner, parents, relatives, and friends who are close by or far away, respectively. The following questions were asked (in Japanese): “How many relatives or friends can you consult with about childcare?” and “If you have someone to consult, who can you consult with? Please circle ‘Yes’ or ‘No’ based on whether or not you can consult with for each of the following person(s): partner, your parents or your partner’s parents, relatives (including your brothers or sisters, or your partner’s brothers or sisters), friends who are close by, and friends who are far away”. Mothers who can consult with their partner were defined as “mothers having social support from partner”. Likewise, mothers who can consult with at least one person other than their partner (i.e., parents, relatives, or local or distant friends) were defined as “mothers having social support from others”.

2.3. Screening for PPD

The Japanese version of the Edinburgh Postnatal Depression Scale (EPDS), a 10-item self-report questionnaire, was used to evaluate PPD [29]. Items were rated on a four-point scale to produce a summative score ranging from 0 to 30, with lower scores indicating better maternal mood. The reliability and validity of the EPDS have been well documented in multiple languages. Using a cut-off score of ≥9, the EPDS has 75% sensitivity, which is defined as the proportion of people with the disease who will have a positive result, and 93% specificity, defined as the proportion of people without the disease who will have a negative result [30]. Therefore, the cut-off point of 9 was used in this study.

2.4. Covariates

The questionnaire also assessed the parental characteristics, gestational and perinatal characteristics, maternal history of intimate partner violence and history of mental disorders. Parental demographics include maternal and paternal age, whether expectant mothers had someone who supported them during pregnancy (yes/no), subjective economic status (i.e., stable, able to manage, difficult to manage, or unstable), maternal and paternal employment status (i.e., working full-time, working part-time, or not working), cohabitation status (i.e., living with infant’s grandparents or not). Gestational and perinatal characteristics include having infertility treatment (yes/no), feeling when they noticed the pregnancy (i.e., felt happy, felt happy although pregnancy was unexpected, muddled because it was unexpected, puzzled, had no feelings), sex of the child (i.e., boy, girl), birth order (i.e., first child, subsequent child), delivery satisfaction (yes/no), low birth weight of the child (<2500 g), preterm birth (<37 weeks), maternal smoking and drinking history during pregnancy (yes/no), history of miscarriage and termination of pregnancy (yes/no). Maternal history of intimate partner violence includes verbal and physical violence (i.e., none, a few times, sometimes, often). Maternal history of mental disorders includes whether women had depressive symptoms during one year prior to pregnancy and whether women had previously been diagnosed with a mental disorder or had received treatment for a mental disorder before getting pregnant. Age difference between parents was calculated by subtracting maternal age from paternal age. As for subjective economic status, “difficult to manage” and “unstable” were collapsed for the analysis, since a low percentage of participants answered “unstable” (2.2%) [31]. The responses on feelings when they noticed the pregnancy of “muddled because it was unexpected”, “puzzled” and “had no feeling” were collapsed to “unintended pregnancy” due to a low percentage of participants answering “muddled because it was unexpected” (6.1%), “puzzled” (0.2%) and “had no feeling” (0.2%), and these feelings were related to unintended pregnancy [32]. Similarly, for verbal and physical intimate partner violence, “a few times”, “sometimes” and “often” were collapsed, since a low percentage of participants answered “sometimes” (3.7%, 0.3%) and “often” (0.5%, 0.1%) [33].

2.5. Statistical Analysis

The associations between possible risk factors and PPD were analyzed using multiple logistic regression, especially regarding four categories of mothers, (i.e., mothers having both a partner’s and others’ support, mothers with only a partner’s support, mothers with only others’ support, and mothers having neither a partner’s nor others’ support). In addition to an initial bivariate model, adjusted models were employed. Model 1 was adjusted for demographic and social covariates, including parental demographics (maternal age, age difference between parents, someone who supported them during pregnancy, subjective economic status, employment status for mothers and fathers, and living with infant’s grandparents). Model 2 was further adjusted statuses for covariates in model 1 plus gestational and perinatal covariates (infertility treatment, whether pregnancy was planned, sex of the child, birth order, delivery satisfaction, low birth weight, preterm, maternal smoking history, maternal drinking history, and history of miscarriage, and termination of pregnancy). Model 3 was adjusted for covariates in model 2 plus both verbal and physical intimate partner violence. Finally, model 4 was adjusted for covariates in model 3 plus mental health status (maternal depressive symptoms during one year prior to pregnancy and maternal history of mental disorder). Paternal age was not used due to multicollinearity with maternal age (r = 0.71). As a reference group, a category with the lowest risk of PPD or that with the largest number of participants in each variable was used. A p-value of <0.05 was considered to be statistically significant. All analyses were performed using the STATA/SE 13.1 software package (STATA Corporation, College Station, TX, USA).

3. Results

Participant characteristics are presented in Table 1. The mean of maternal and paternal age was 31.4 and 33.3 years, respectively. Of the 6195 women, 134 (2.2%) reported that they did not have someone who supported them during pregnancy. Regarding subjective economic status, 659 (11%) reported their finances were “difficult to manage” or “unstable”. As for the infants, 522 (8.4%) and 682 (11%) of them were living with grandfather and grandmother, respectively. A total of 726 (12%) mothers had undergone infertility treatment. When mothers were notified of their pregnancy, 443 (7.2%) felt muddled or puzzled, or had no feelings. Regarding intimate partner violence, 617 (10%) and 60 (1.0%) mothers experienced verbal and physical violence from their partner, respectively. There were 867 (14%) mothers who suffered from depressive symptoms in the year prior to pregnancy and 86 (1.4%) had a history of mental disorders.
As shown in Table 2, 170 (2.7%) mothers reported they did not consult with their partner, indicating no social support from a partner, and 119 (1.9%) mothers reported they did not consult with either their parents, relatives, or friends close by or far, also indicating no social support from others. Mothers were classified into four categories based on social support from partner and others. A total of 5908 (95.4%) mothers had both their partner’s and others’ social support; 108 (1.7%) had their partner’s social support, but did not have that of others; 168 (2.7%) had others’ social support, but did not have that of their partner; 11 (0.2%) had no social support from either their partner or others. The distribution of the EPDS score showed that 536 (8.7%) women scored 9 or above, which indicates that those women were considered to have PPD.
Table 3 shows the bivariate and multivariate association between each type of mother and PPD. In the crude model, mothers with social support from their partner but no support from others, and those with support from others but not from their partner, and those who had no social support from their partner nor others were 3.32 (95% confidence interval [CI], 2.07–5.32), 7.18 (95% CI, 5.17–9.97), and 21.5 (95% CI, 6.27–73.7) times more likely to have PDD, respectively, in comparison with mothers that had social support from both. After controlling for parental, gestational and perinatal characteristics and history of intimate partner violence and mental disorders, mothers with their partner’s support only were 2.34 (95% CI, 1.37–3.98) times more likely to have PPD, compared with mothers that had support from both. In addition, mothers with others’ support only were 3.13 (95% CI, 2.11–4.63) times more likely to have PPD. Furthermore, mothers with neither a partner’s nor others’ support were 7.22 (95% CI, 1.76–29.6) times more likely to have PPD, suggesting that the lack of a partner’s support and others’ support is independently associated with the risk of PPD.

4. Discussion

To the best of our knowledge, this is the first study investigating the association between social support from a partner and others, such as grandparents or friends, and PPD using a large number of subjects in Japan. This study found that the lack of either social support from a partner or others showed higher risk of PDD in mothers, compared with those who have social support from both a partner and others. Furthermore, mothers that do not have social support from either a partner or others showed high risk of PPD, that is, 7 times more likely to have PPD.
Several studies reported that a lack of support from a partner was associated with PPD [26,27], and others have reported that a lack of support from both a partner and others was associated with PPD [25,28]. However, none of them analyzed the interaction between a lack of partner’s support and others’ support for the risk of PPD. Hence, we analyzed this interaction as a risk factor for PPD, and found that mothers with others’ social support but not having that of the partner was a high-risk group for PPD (p for interaction = 0.99). This finding is important because mothers who have support from others, but not from their partner, were not usually considered as high-risk mothers for PPD due to the availability of social support from several sources.
There may be several possible mechanisms between the lack of support from a partner and PPD. First, parenting stress can be higher among a nuclear family, thus, expectation for support from a partner might be high, resulting in a lack of it posing more stress, which can be a risk of PDD. In fact, among the families raising child(ren) in Japan in 2017, 82.7% of them were nuclear, whereas only 14.2% were living with grandparent(s) [34]. In nuclear families, the partner is thought to be the only person who can understand the situation and to assist the mother at home. Second, mothers who did not have support from their partner may have preoccupied attachment style, and thus, they are not good at developing interpersonal relationships, including asking for support from their partner [35]. Previous studies found that preoccupied attachment style is associated with depression [35]. Third, based on marital relationship theory, poor marital relationship itself was associated with increased stress in the postpartum period and risk of PPD [13]. Therefore, poor marital relationship may be a confounding factor between not having support from a partner and PPD. Additional studies are necessary to reveal the mechanism between a lack of support from a partner and PPD.
Our results also showed that mothers who did not have support from others have higher risk of PPD. Several mechanisms between a lack of support from others and PPD can be considered. First, relative stress due to comparison with other mothers might be a risk for PPD, and support from others can mitigate the relative stress. For example, if they were unable to breastfeed, they may blame themselves and lose their confidence as a mother. Mothers who have support from relatives or friends share their challenges and difficulties in childcare and receive comfort and encouragement. This reassurance can be considered as a protective factor against PPD. Therefore, mothers without support from others may have a higher risk of PPD than those with support from others. Second, mothers with insecure adult attachment, especially avoidant attachment style, tend to have lower levels of support from others. Thus, mothers with avoidant attachment style are thought to have higher risk of PPD. In fact, several studies identified insecure attachment style as a risk factor for PPD [22,23]. Further studies are needed to explore how a lack of support from others influence the risk of PPD.
Our results also revealed that mothers without support from either their partner or others had a higher risk of PPD than those with support from both. The OR of mothers without any support tended to be higher than that of mothers with their partner’s support only or that of mothers with others’ support only, although the difference did not reach statistical significance (p = 0.14 and 0.26 in model 4, respectively). This might imply that a lack of support from a partner and others independently increased the risk of PPD, and those who do not have support from a partner or others can be considered as the highest risk group in terms of social isolation.
In addition, our results also showed that both young mothers aged <25 years and old mothers aged ≥40 years were associated with PPD (Table 3). Young mothers might be sensitive to infant care stress, such as infant crying [36]. Older mothers might have more burden of family obligations and less vitality than other mothers [37]. These might be correlated with higher risk of PPD in younger (<25 years) and older (≥40 years) mothers. In contrast, birth order and parental employment status were not associated with PPD (Table 3), which is inconsistent with a previous study reporting that primiparity was found to be risk factors for PPD [38]. The discrepancy might be due to sampling method, i.e., current study employed population-based sampling, while the previous study used hospital-based convenience sampling.
The present study has several limitations. First, it is not possible to determine the causality between a lack of social support from a partner or others and PPD due to a cross-sectional design. It is possible that depressed mothers tend to evaluate levels of social support more negatively than non-depressed mothers. Thus, longitudinal studies with more frequent measurements of both levels of social support and PPD are required to estimate the causality. Second, although the EPDS is a well-validated screening scale [30], it is not the clinical criteria for PPD. Third, in this study, the presence of social support was assessed based on whether mothers can consult with partner and/or others, such as relatives and friends. This questionnaire was originally created to capture the types of social support based on social network index measuring social connections, such as contacts with their spouse, children, relatives and friends [39]. In previous studies, the levels of social support were assessed by the Social Provisions Scales, the Japanese version of the Social Support Questionnaire, Multidimensional Scale of Perceived Social Support or original questionnaires [18,25,28,40]. Because these measurements captured the level of social support and not the source of social support, we decided not to use these validated measures of social support but the originally created social support, although not validated, instead. Future studies may use both levels and sources of social support using validated scales. Fourth, instrumental social support from the partner and/or others, such as provision of transportation, was not examined in this study. Fifth, other possible risk factors for PPD, such as stressful life event/s and genetic vulnerabilities, were not assessed in this study.
Despite these limitations, the current study provides insights into the protective effects of social support on PPD. In Japan, approximately 8–15% of mothers experience PPD [41,42]. Japanese mothers tend to spend more time on infant care than mothers in western countries [43], which may imply that they are prone to having devastating stress from infant care [44]. Considering the fact that more than 80% of families raising child(ren) were nuclear [34] and lack of social support is one of the strongest risk factors of PPD [5,13], social support from a partner or others might be important to prevent PPD. In Japan, the majority of pregnant women register their pregnancy at public health centers and local municipal governments provide home-visit programs to families with infants via public health centers [45]. In addition, most mothers with infants participate in a three- or four-month health check-up program. Through this system, it might be desirable that public health nurses ask mothers about the levels of social support from their partner or others they are receiving in order to assess the risk of PPD. If mothers lack social support from a partner or others, public health nurses can establish a close relationship with such mothers, so that mothers become able to consult with them about infant care and maternal mental health. Furthermore, fathers might be encouraged to provide enough support for their partner and to participate actively in infant care activities to prevent the mother from becoming depressed.

5. Conclusions

In conclusion, a lack of social support from a partner or others, which is defined as women not being able to consult with their partner or others, increases the risk of PPD. Additional longitudinal research, including more frequent assessment of these factors and PPD, is needed to determine the causality between these risk factors and PPD.

Author Contributions

A.Y. and T.F. conceived the study; T.F. collected the data; A.Y. and A.I. analyzed and wrote the first draft; and A.Y., A.I. and T.F. finalized the manuscript. All the authors approved the final manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported by the following grants: Grant-in-aid for Young Scientists (B) Scientific Research, from the Ministry of Education, Culture, Sports, Science and Technology (KAKENHI), the Ministry of Health, Labor and Welfare (H23-Seisaku-Ippan-005, H27-Sukoyaka-Ippan-001, H30-Sukoyaka-Ippan-003), and Research Institute of Science and Technology for Society, Japan Science and Technology Agency.

Acknowledgments

We thank Naomi Kato and other officers who supported the data collection in Aichi, Japan.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Halbreich, U.; Karkun, S. Cross-cultural and social diversity of prevalence of postpartum depression and depressive symptoms. J. Affect. Disord. 2006, 91, 97–111. [Google Scholar] [CrossRef] [PubMed]
  2. Yoshida, K.; Yamashita, H.; Ueda, M.; Tashiro, N. Postnatal depression in Japanese mothers and the reconsideration of ‘Satogaeri bunben’. Pediatr. Int. Off. J. Jpn. Pediatr. Soc. 2001, 43, 189–193. [Google Scholar] [CrossRef] [PubMed]
  3. Dietz, P.M.; Williams, S.B.; Callaghan, W.M.; Bachman, D.J.; Whitlock, E.P.; Hornbrook, M.C. Clinically identified maternal depression before, during, and after pregnancies ending in live births. Am. J. Psychiatry 2007, 164, 1515–1520. [Google Scholar] [CrossRef] [PubMed]
  4. Chaudron, L.H. Postpartum depression: What pediatricians need to know. Pediatr. Rev. 2003, 24, 154–161. [Google Scholar] [CrossRef]
  5. 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. [Google Scholar] [CrossRef]
  6. Oates, M. Perinatal psychiatric disorders: A leading cause of maternal morbidity and mortality. Br. Med. Bull. 2003, 67, 219–229. [Google Scholar] [CrossRef] [Green Version]
  7. Appleby, L.; Mortensen, P.B.; Faragher, E.B. Suicide and other causes of mortality after post-partum psychiatric admission. Br. J. Psychiatry J. Ment. Sci. 1998, 173, 209–211. [Google Scholar] [CrossRef]
  8. Murray, L.; Fiori-Cowley, A.; Hooper, R.; Cooper, P. The impact of postnatal depression and associated adversity on early mother-infant interactions and later infant outcome. Child Dev. 1996, 67, 2512–2526. [Google Scholar] [CrossRef]
  9. Hipwell, A.E.; Goossens, F.A.; Melhuish, E.C.; Kumar, R. Severe maternal psychopathology and infant-mother attachment. Dev. Psychopathol. 2000, 12, 157–175. [Google Scholar] [CrossRef] [Green Version]
  10. Sagami, A.; Kayama, M.; Senoo, E. The relationship between postpartum depression and abusive parenting behavior of Japanese mothers: A survey of mothers with a child less than one year old. Bull. Menn. Clin. 2004, 68, 174–187. [Google Scholar] [CrossRef]
  11. Stein, A.; Pearson, R.M.; Goodman, S.H.; Rapa, E.; Rahman, A.; McCallum, M.; Howard, L.M.; Pariante, C.M. Effects of perinatal mental disorders on the fetus and child. Lancet 2014, 384, 1800–1819. [Google Scholar] [CrossRef]
  12. Wisner, K.L.; Chambers, C.; Sit, D.K. Postpartum depression: A major public health problem. JAMA 2006, 296, 2616–2618. [Google Scholar] [CrossRef] [PubMed]
  13. Beck, C.T. Predictors of postpartum depression: An update. Nurs. Res. 2001, 50, 275–285. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Yim, I.S.; Tanner Stapleton, L.R.; Guardino, C.M.; Hahn-Holbrook, J.; Dunkel Schetter, C. Biological and psychosocial predictors of postpartum depression: Systematic review and call for integration. Annu. Rev. Clin. Psychol. 2015, 11, 99–137. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Miura, A.; Fujiwara, T. Intimate Partner Violence during Pregnancy and Postpartum Depression in Japan: A Cross-sectional Study. Front. Pub. Health 2017, 5, 81. [Google Scholar] [CrossRef] [Green Version]
  16. Webster, J.; Nicholas, C.; Velacott, C.; Cridland, N.; Fawcett, L. Quality of life and depression following childbirth: Impact of social support. Midwifery 2011, 27, 745–749. [Google Scholar] [CrossRef] [Green Version]
  17. Glazier, R.H.; Elgar, F.J.; Goel, V.; Holzapfel, S. Stress, social support, and emotional distress in a community sample of pregnant women. J. Psychosom. Obstet. Gynaecol. 2004, 25, 247–255. [Google Scholar] [CrossRef]
  18. Morikawa, M.; Okada, T.; Ando, M.; Aleksic, B.; Kunimoto, S.; Nakamura, Y.; Kubota, C.; Uno, Y.; Tamaji, A.; Hayakawa, N.; et al. Relationship between social support during pregnancy and postpartum depressive state: A prospective cohort study. Sci. Rep. 2015, 5, 10520. [Google Scholar] [CrossRef]
  19. Ohara, M.; Okada, T.; Aleksic, B.; Morikawa, M.; Kubota, C.; Nakamura, Y.; Shiino, T.; Yamauchi, A.; Uno, Y.; Murase, S.; et al. Social support helps protect against perinatal bonding failure and depression among mothers: A prospective cohort study. Sci. Rep. 2017, 7, 9546. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  20. Reid, K.M.; Taylor, M.G. Social support, stress, and maternal postpartum depression: A comparison of supportive relationships. Soc. Sci. Res. 2015, 54, 246–262. [Google Scholar] [CrossRef] [PubMed]
  21. Florian, V.; Mikulincer, M.; Bucholtz, I. Effects of adult attachment style on the perception and search for social support. J. Psychol. 1995, 129, 665–676. [Google Scholar] [CrossRef] [PubMed]
  22. Warfa, N.; Harper, M.; Nicolais, G.; Bhui, K. Adult attachment style as a risk factor for maternal postnatal depression: A systematic review. BMC Psychol. 2014, 2, 56. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Monk, C.; Leight, K.L.; Fang, Y. The relationship between women’s attachment style and perinatal mood disturbance: Implications for screening and treatment. Arch. Women’s Ment. Health 2008, 11, 117–129. [Google Scholar] [CrossRef] [PubMed]
  24. Bartholomew, K.; Horowitz, L.M. Attachment styles among young adults: A test of a four-category model. J. Personal. Soc. Psychol. 1991, 61, 226–244. [Google Scholar] [CrossRef]
  25. Dennis, C.L.; Letourneau, N. Global and relationship-specific perceptions of support and the development of postpartum depressive symptomatology. Soc. Psychiatry Psychiatr. Epidemiol. 2007, 42, 389–395. [Google Scholar] [CrossRef]
  26. Dennis, C.L.; Ross, L. Women′s perceptions of partner support and conflict in the development of postpartum depressive symptoms. J. Adv. Nurs. 2006, 56, 588–599. [Google Scholar] [CrossRef] [PubMed]
  27. O′Hara, M.W. Social support, life events, and depression during pregnancy and the puerperium. Arch. Gen. Psychiatry 1986, 43, 569–573. [Google Scholar] [CrossRef]
  28. Takeda, F.; Miyaji, F.; Yamaguchi, T.; Nozaki, S. [Postpartum depression and social support]. [Nihon koshu eisei zasshi] Jpn. J. Public Health. 1998, 45, 564–571. [Google Scholar]
  29. Cox, J.L.; Holden, J.M.; Sagovsky, R. Detection of postnatal depression. Development of the 10-item Edinburgh Postnatal Depression Scale. Br. J. Psychiatry J. Ment. Sci. 1987, 150, 782–786. [Google Scholar] [CrossRef] [Green Version]
  30. Okano, T.; Murata, M.; Masuji, S.; Tamaki, R.; Nomura, J.; Miyaoka, H. Validation and reliability of a Japanese version of the EPDS. Arch. Psychiatr. Diagn. Clin. Eval. 1996, 7, 525–533. [Google Scholar]
  31. Kawaguchi, H.; Fujiwara, T.; Okamoto, Y.; Isumi, A.; Doi, S.; Kanagawa, T.; Kimura, T.; Mitsuda, N. Perinatal Determinants of Child Maltreatment in Japan. Front. Pediatr. 2020, 8, 143. [Google Scholar] [CrossRef] [PubMed]
  32. Isumi, A.; Fujiwara, T. Synergistic Effects of Unintended Pregnancy and Young Motherhood on Shaking and Smothering of Infants among Caregivers in Nagoya City, Japan. Front. Public Health 2017, 5, 245. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Amemiya, A.; Fujiwara, T. Association between maternal intimate partner violence victimization during pregnancy and maternal abusive behavior towards infants at 4 months of age in Japan. Child Abuse Negl. 2016, 55, 32–39. [Google Scholar] [CrossRef] [PubMed]
  34. Ministry of Health, Labour and Welfare in Japan. Overview of Comprehensive Survey of Living Conditions. 2017. Available online: https://www.mhlw.go.jp/toukei/saikin/hw/k-tyosa/k-tyosa17/dl/02.pdf (accessed on 12 June 2020).
  35. Croce Nanni, R.; Troisi, A. Maternal attachment style and psychiatric history as independent predictors of mood symptoms in the immediate postpartum period. J. Affect. Disord. 2017, 212, 73–77. [Google Scholar] [CrossRef]
  36. Passino, A.W.; Whitman, T.L.; Borkowski, J.G.; Schellenbach, C.J.; Maxwell, S.E.; Keogh, D.; Rellinger, E. Personal adjustment during pregnancy and adolescent parenting. Adolescence 1993, 28, 97–122. [Google Scholar]
  37. García-Blanco, A.; Monferrer, A.; Grimaldos, J.; Hervás, D.; Balanzá-Martínez, V.; Diago, V.; Vento, M.; Cháfer-Pericás, C. A preliminary study to assess the impact of maternal age on stress-related variables in healthy nulliparous women. Psychoneuroendocrinology 2017, 78, 97–104. [Google Scholar] [CrossRef]
  38. Iwata, H.; Mori, E.; Sakajo, A.; Aoki, K.; Maehara, K.; Tamakoshi, K. Prevalence of postpartum depressive symptoms during the first 6 months postpartum: Association with maternal age and parity. J. Affect. Disord. 2016, 203, 227–232. [Google Scholar] [CrossRef]
  39. Berkman, L.F.; Syme, S.L. Social networks, host resistance, and mortality: A nine-year follow-up study of Alameda County residents. Am. J. Epidemiol 1979, 109, 186–204. [Google Scholar] [CrossRef]
  40. Ege, E.; Timur, S.; Zincir, H.; Geçkil, E.; Sunar-Reeder, B. Social support and symptoms of postpartum depression among new mothers in Eastern Turkey. J. Obstet. Gynaecol. Res. 2008, 34, 585–593. [Google Scholar] [CrossRef]
  41. Asano, R.; Tsuchiya, K.J.; Takei, N.; Harada, T.; Kugizaki, Y.; Nakahara, R.; Nakayasu, C.; Okumura, A.; Suzuki, Y.; Takagai, S.; et al. HBC Study Team Broader autism phenotype as a risk factor for postpartum depression: Hamamatsu Birth Cohort (HBC) Study. Res. Autism. Spectr. Disord. 2014, 8, 1672–1678. [Google Scholar] [CrossRef] [Green Version]
  42. Yamagata, Z. Available online: http://sukoyaka21.jp/pdf/H27_yamagata_report.pdf (accessed on 12 June 2020).
  43. Work-Life Balance Report. 2017. Available online: http://wwwa.cao.go.jp/wlb/government/top/hyouka/report-17/h_pdf/zentai.pdf (accessed on 12 June 2020).
  44. Doi, S.; Fujiwara, T.; Isumi, A.; Mitsuda, N. Preventing postpartum depressive symptoms using an educational video on infant crying: A cluster randomized controlled trial. Depress. Anxiety 2020, 37, 449–457. [Google Scholar] [CrossRef] [PubMed]
  45. Fujiwara, T.; Natsume, K.; Okuyama, M.; Sato, T.; Kawachi, I. Do home-visit programs for mothers with infants reduce parenting stress and increase social capital in Japan? J. Epidemiol. Community Health 2012, 66, 1167–1176. [Google Scholar] [CrossRef] [PubMed]
Table 1. Characteristics of participants.
Table 1. Characteristics of participants.
CharacteristicsTotal (n = 6195)
n or Mean% or SD
Maternal age (year)Mean31.44.8
<254607.4
25–29172127.8
30–34232537.5
35–39140522.7
≥402724.4
Missing120.2
Paternal age (year)Mean33.35.5
<242704.4
25–29128420.7
30–34214134.6
35–39171827.7
≥4076312.3
Missing190.3
Age difference between partner and woman<−51181.9
−5–−1122419.8
0–4360958.3
5–993915.2
10–142183.5
≥15681.1
Missing190.3
Someone who supported during pregnancyYes604297.5
No1342.2
Missing190.3
Financial statusStable278444.9
Able to manage250240.4
Difficult to manage or unstable65910.6
Missing2504.0
Maternal employment statusFull-time102716.6
Part-time2954.8
Not working479477.4
Missing791.3
Paternal employment statusFull-time603397.4
Part-time480.8
Not working500.8
Missing641.0
Living with grandfatherNo567391.6
Yes5228.4
Living with grandmotherNo551389.0
Yes68211.0
Infertility treatmentNo539987.2
Yes72611.7
Missing701.1
Unintended pregnancyNo573892.6
Yes4437.2
Missing140.2
Sex of the childBoy311650.3
Girl302748.9
Missing520.8
Birth orderFirst child310550.1
Subsequent child307549.6
Missing150.2
Unsatisfactory deliveryNo603897.5
Yes1412.3
Missing160.3
Low birth weightNo565591.3
Yes5178.3
Missing230.4
PretermNo572592.4
Yes3505.6
Missing1201.9
Maternal smoking historyNo557089.9
Yes62310.1
Missing20.0
Maternal drinking historyNo594896.0
Yes2363.8
Missing110.2
History of miscarriageNo509182.2
Yes110217.8
Missing20.0
Termination of pregnancyNo579093.5
Missing4036.5
Yes20.0
Verbal abuse from partnerNone555689.7
A few times/sometimes/often61710.0
Missing220.4
Physical abuse from partnerNone612898.9
A few times/sometimes/often601.0
Missing70.1
Maternal depressive symptoms during one year prior to pregnancyNo531785.8
Yes86714.0
Missing110.2
Maternal history of mental disordersNo610998.6
Yes861.4
Table 2. Social support and the Edinburgh Postnatal Depression Scale (EPDS) score.
Table 2. Social support and the Edinburgh Postnatal Depression Scale (EPDS) score.
VariablesTotal (n = 6195)
n%
Consult with partnerYes601697.1
No1702.7
Missing90.1
Consult with others (at least one person out of parents, relatives, or friends close by for far)Yes607698.1
No1191.9
Classification based on social support from partner or othersHaving both partner’s and others’ social support590895.4
Having partner’s support, but not others’1081.7
Having others’ support, but not partner’s1682.7
Not having either partner’s or others’ support110.2
EPDS score≤8565891.3
≥95368.7
Missing10.0
Table 3. Association between social support categories of mothers and PPD.
Table 3. Association between social support categories of mothers and PPD.
VariablesPrevalence of PPD (%)CrudeModel 1Model 2Model 3Model 4
OR95% CIOR95% CIOR95% CIOR95% CIOR95% CI
Classification based on social support from partner or othersHaving both partner’s and others’ social support7.5RefRefRefRefRef
Having partner’s support, but not others’21.33.322.07–5.322.741.68–4.492.561.54–4.242.531.52–4.222.341.37–3.98
Having others’ support, but not partner’s36.97.185.17–9.974.753.35–6.734.232.94–6.083.132.15–4.563.132.11–4.63
Not having either partner’s or others’ support63.621.56.27–73.713.33.63–48.913.23.50–49.613.33.47–50.77.221.76–29.6
Maternal age (year)<2516.12.451.82–3.281.761.28–2.411.721.24–2.401.531.09–2.151.461.02–2.08
25–298.31.160.92–1.461.060.83–1.351.070.83–1.371.070.83–1.381.040.80–1.35
30–347.2RefRefRefRefRef
35–397.91.090.85–1.401.110.85–1.431.050.80–1.371.070.81–1.401.100.83–1.45
≥4014.02.071.42–3.021.991.33–2.971.671.1–2.531.771.16–2.691.781.15–2.76
Age difference between partner and woman<−511.01.440.78–2.651.230.64–2.331.280.67–2.451.220.63–2.351.060.53–2.11
−5–07.9RefRefRefRefRef
0–58.41.060.84–1.351.070.83–1.371.070.83–1.381.080.84–1.401.080.83–1.41
5–109.31.190.88–1.611.110.80–1.531.050.76–1.461.090.78–1.511.030.73–1.45
10–1511.51.500.94–2.401.350.82–2.221.240.74–2.061.290.77–2.171.240.72–2.12
≥1513.21.770.85–3.681.640.76–3.511.600.74–3.491.540.70–3.391.330.57–3.11
Someone who supported during pregnancyYes8.4RefRefRefRef0Ref
No18.72.491.60–3.881.520.92–2.521.390.83–2.321.350.81–2.261.140.67–1.94
Financial statusStable4.2RefRefRefRefRef
Able to manage10.22.582.06–3.232.351.87–2.952.201.74–2.782.161.71–2.732.121.67–2.70
Difficult to manage or unstable21.16.044.64–7.854.623.50–6.113.972.98–5.313.682.75–4.933.322.45–4.48
Maternal employment statusFull-time6.7RefRefRefRefRef
Part-time11.91.841.20–2.821.240.79–1.951.150.72–1.841.140.71–1.831.050.64–1.72
Not working8.91.341.03–1.741.100.84–1.451.090.82–1.451.130.85–1.511.090.81–1.46
Paternal employment statusFull-time8.5RefRefRefRefRef
Part-time20.82.831.40–5.701.310.60–2.851.510.69–3.331.600.73–3.511.680.76–3.70
Not working20.02.681.33–5.401.770.84–3.741.700.77–3.721.640.73–3.671.820.78–4.25
Living with grandfatherNo8.5RefRefRefRefRef
Yes9.81.160.85–1.570.830.51–1.360.890.54–1.470.930.56–1.551.040.62–1.75
Living with grandmotherNo8.3RefRefRefRefRef
Yes11.11.371.06–1.781.420.94–2.161.340.87–2.051.250.81–1.931.180.75–1.86
Infertility treatmentNo8.7RefRefRefRef
Yes7.70.870.65–1.161.120.81–1.541.130.82–1.551.150.82–1.59
Unintended pregnancyNo7.5RefRefRefRef
Yes23.53.802.98–4.832.491.90–3.262.361.80–3.102.171.64–2.88
Sex of the childBoy8.9RefRefRefRef
Girl8.50.950.79–1.130.990.82–1.191.020.84–1.241.030.85–1.25
Birth orderFirst child8.7RefRefRefRef
Subsequent child8.60.990.83–1.180.960.78–1.170.920.75–1.121.010.82–1.24
Unsatisfactory deliveryNo8.1RefRefRefRef
Yes33.35.673.95–8.154.152.76–6.244.012.65–6.063.552.29–5.50
Low birth weightNo8.3RefRefRefRef
Yes12.01.501.13–1.981.220.86–1.731.210.85–1.721.270.89–1.82
PretermNo8.3RefRefRefRef
Yes12.61.571.13–2.191.090.72–1.661.090.71–1.651.090.71–1.68
Maternal smoking historyNo8.0RefRefRefRef
Yes14.61.971.54–2.501.190.90–1.571.110.84–1.481.010.75–1.36
Maternal drinking historyNo8.4RefRefRefRef
Yes13.11.641.11–2.411.370.90–2.101.330.87–2.041.230.79–1.93
History of miscarriageNo8.6RefRefRefRef
Yes9.01.050.83–1.321.100.86–1.411.090.85–1.401.130.87–1.46
Termination of pregnancyNo8.4RefRefRefRef
Yes12.91.621.19–2.201.130.81–1.591.060.75–1.500.980.68–1.41
Verbal abuse from partnerNo7.0RefRefRef
Yes23.03.953.19–4.892.331.81–2.991.891.45–2.46
Physical abuse from partnerNo8.4RefRefRef
Yes36.76.343.72–10.81.820.97–3.401.670.86–3.21
Maternal depressive symptoms during one year prior to pregnancyNo5.7RefRef
Yes26.25.814.80–7.033.903.15–4.84
Maternal history of mental disordersNo8.2RefRef
Yes41.98.065.20–12.53.572.13–5.99
Bold signifies p < 0.05.

Share and Cite

MDPI and ACS Style

Yamada, A.; Isumi, A.; Fujiwara, T. Association between Lack of Social Support from Partner or Others and Postpartum Depression among Japanese Mothers: A Population-Based Cross-Sectional Study. Int. J. Environ. Res. Public Health 2020, 17, 4270. https://doi.org/10.3390/ijerph17124270

AMA Style

Yamada A, Isumi A, Fujiwara T. Association between Lack of Social Support from Partner or Others and Postpartum Depression among Japanese Mothers: A Population-Based Cross-Sectional Study. International Journal of Environmental Research and Public Health. 2020; 17(12):4270. https://doi.org/10.3390/ijerph17124270

Chicago/Turabian Style

Yamada, Akito, Aya Isumi, and Takeo Fujiwara. 2020. "Association between Lack of Social Support from Partner or Others and Postpartum Depression among Japanese Mothers: A Population-Based Cross-Sectional Study" International Journal of Environmental Research and Public Health 17, no. 12: 4270. https://doi.org/10.3390/ijerph17124270

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop