Skip to main content

ORIGINAL RESEARCH article

Front. Psychiatry, 20 December 2021
Sec. Mood Disorders
This article is part of the Research Topic Perinatal Mental Health and Inequality View all 11 articles

Living With Parents-In-Law Increased the Risk of Postpartum Depression in Chinese Women

\nSongxu PengSongxu Peng1Xin LaiXin Lai1Jun QiuJun Qiu2Yukai DuYukai Du3Jing YangJing Yang4Ying BaiYing Bai4Yanhong JiaYanhong Jia4Liping Meng
Liping Meng4*Kewei Wang
Kewei Wang2*Xiangyang Zhang
Xiangyang Zhang5*
  • 1Department of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha, China
  • 2Department of Children's Intensive Research Center, Hunan Children's Hospital, Changsha, China
  • 3Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
  • 4Department of Public Health, Baoan Maternal and Child Health Hospital, Jinan University, Shenzhen, China
  • 5CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China

Background: A variety of psychological and socioeconomic factors contribute to the development of postpartum depression (PPD). However, the relationship between maternal living arrangements and PPD is unclear.

Objective: To assess the relationship between maternal living arrangements and PPD in Chinese population.

Methods: A cross-sectional survey was conducted among puerperal women delivered in Baoan Maternal and Child Health Hospital in Shenzhen, China. The Edinburgh Postnatal Depression Scale (EPDS) was used to assess PPD. A score of ≥10 was used as the threshold for postpartum depression.

Results: A total of 4,813 women were recruited, of whom 2,535 (52.7%) lived only with their husbands, 664 (13.8%) lived with their parents, and 1,614 (33.5%) lived with their parents-in-law. Compared with women who lived with husbands, puerperal women who lived with their parents-in-law were more likely to be positive for PPD screening (14.1 vs. 10.5%, P < 0.001). After adjusting for other influencing factors, living with parents-in-law was significantly associated with the risk of PPD (OR = 1.38, 95% CI, 1.12–1.70). Additionally, stratification analyses showed that the association between living with parents-in-law and the presence of PPD was more significant in women with anxiety during pregnancy (P for interaction <0.05).

Conclusions and Relevance: Our data confirms that the maternal living arrangements affect the risk of PPD, especially among women with anxiety during pregnancy. Therefore, more targeted preventive measures should be taken for postpartum depression in women who live with their parents-in-law.

Introduction

Postpartum depression (PPD) is a common perinatal complication, affecting 0.5–60% of women worldwide (1, 2). A recent systematic review reported that pooled prevalence of PPD in China was 15% (3). There is accumulating evidence that PPD increases the risk of death for mothers and children (4). Mothers with PPD tend to have a poor marital relationship and impaired social function (5, 6). Previous studies have shown that maternal PPD can impair the cognitive, emotional, and physical development of offspring in infancy, childhood and even adolescence (79). Findings from published studies have identified several risk factors associated with PPD, including lack of social support, adverse childhood experiences, stressful life events, unsatisfactory marital relationship, and fetal or neonatal health problems (1014). It has been hypothesized that there may be underlying biological mechanisms behind these associations.

Personal living arrangements are viewed as an important factor affecting health (1517). However, previous studies mainly focused on the health problems of the elderly (18, 19). Among older adults, living together is a protective factor for physical and mental health due to daily care and emotional support, which may have the same effect in maternal groups. But few studies have focused with interest on the relationship between living arrangements and the health of puerperal women. In China, multi-generation families used to be the main living arrangement, and puerperal women were usually looked after by their parents-in-law (20). As a result, puerperal women may obtain more family support, which may buffer the risk of PPD. In Chinese traditional culture, offspring are expected to obey their parents, and daughter-in-law are even expected to be submissive in a shared living environment (2123). However, with economic development and alterations in social factors including the increase in the level of education and the spread of scientific knowledge of parenting, significant changes have taken place among women in the puerperium (24). Hence, living together can easily lead to family conflicts and adversely affect maternal mental health due to the differences in thinking and parenting concepts between older parents and younger mothers. It is therefore a key question as to whether such living arrangements may exacerbate or buffer the risk of PPD in these puerperal women.

A preliminary investigation by Honjo et al. (25) used a national cohort study database to assess the association between co-resident family members and PPD risk and ultimately reported a positive association between living with parents-in-law and PPD risk. However, this study failed to adjust for prenatal emotional factors known to influence PPD, including depression and anxiety during pregnancy. Another cross-sectional study from China found that living with in-laws was associated with an increased risk of PPD (20). However, this study did not explore whether this association was modified by other factors. Furthermore, a Pakistani study yielded inconsistent results with a reduced risk of PPD among women in the puerperium who lived with their in-laws (26). Therefore, this association between maternal living arrangements and PPD remains to be verified.

As China's two-child policy opens up and more mothers begin to have children, they may face cohabitation between mothers-in-law and daughters-in-law. Hence, understanding this relationship is essential for targeting interventions that will reach the most vulnerable in China and other Asian countries where most puerperal women live in multi-generational families. Therefore, we performed this cross-sectional survey to investigate the relationship between maternal living arrangements and the risk of PPD among Chinese women, and explore whether this association was modified by other factors.

Methods

Study Design and Participants

This cross-sectional survey was conducted at Baoan Maternity and Child Health Hospital in Shenzhen, China from January 1, 2016 to December 31, 2016. The Edinburgh Postpartum Depression Scale (EPDS) was used to screen all women who gave birth in this hospital and returned to the hospital for routine follow-up 6 weeks after delivery. A total of 5,756 women were invited to participate in this study. Of them, 5,043 (87.6%) women agreed to fill out the questionnaire through face-to-face interviews. Subsequently, 230 participants were excluded due to incomplete data on living conditions or PPD. Finally, this study included 4,813 participants.

The study protocol was approved by the Institutional Review Committee of Baoan Maternity and Child Health Hospital, Jinan University. The methodology followed the principles of the Declaration of Helsinki. All subjects provided written informed consent forms for participation.

Measures

Maternal Living Arrangement

Information about the maternal living arrangements was obtained by asking the following question: Who did you live with after childbirth? In the current study, the living arrangements were divided into three categories: living only with husband, living with parents, and living with parents-in-law.

Screening for Postpartum Depression

The Edinburgh Postpartum Depression Scale (EPDS) was used to assess postpartum depression. EPDS consists of 10 items, each with a score of 0–3. The total score ranges from 0 to 30, the higher the score, the greater the risk of PPD. The EPDS has been translated and validated in many countries, with various cut-off points during the postnatal period, such as Turkey (12.5) (27), Malta (11.5) (28), Spain (10.5) (29), and India (8.5) (30). In 1998, Lee et al. translated and validated the Chinese version of the EPDS and identified 9/10 as the optimal cut-off for the study population. Using this cut-off value, the sensitivity of the scale was 82% and the specificity was 86% (31). In this study, a score ≥10 was considered an indicator of PPD, which was consistent with previous study (32). The Cronbach's alpha value of this study was 0.826.

Assessment of Covariates

A self-designed questionnaire was used to collect sociodemographic data such as age, education level, employment status, and reproductive history, as well as psychiatric history. Also, we collected pregnancy-related data including gestational diabetes mellitus (GDM), depression and anxiety during pregnancy, pregnancy-induced hypertension (PIH), stressful life events, mode of delivery, gestational age, birth weight, fetal sex, malformation, and feeding pattern. We then checked the accuracy of these data based on the participants' medical records.

Statistical Analysis

The continuous variables were expressed as means ± standard deviations (SDs), and the categorical data was present as numbers and proportion (%). Analysis of variance (ANOVA) was used to examine the differences between continuous variables, and chi-squared tests were used to compare the categorical data. PPD was considered a dependent variable (dummy code, 0 = no, 1 = yes), and several logistic regression models were used to estimate the odds ratios (ORs) with 95% confidence intervals (95% CIs) between maternal living arrangements and PPD risk. Subgroup analyses were performed stratified by age (<35, ≥35 years), education level (junior or below, senior middle school, college, or university), employment status (full-time, self-employed, housewife, other), primipara (yes, no), GDM (yes, no), depression during pregnancy (yes, no), anxiety during pregnancy (yes, no), stressful life events (yes, no), male infant (yes, no), cesarean delivery (yes, no), preterm birth (yes, no), low birth weight (yes, no), and feeding pattern at 6 weeks (exclusive, partial, formula only). The multiplicative interaction was tested by a likelihood ratio test in logistic regression model to assess the interaction between other variables and living arrangements. The statistical significance was evaluated at the level of 5% (two-tailed test). Statistical analyses were performed using SPSS 18.0 software (SPSS, Chicago, IL, USA).

Results

Sociodemographic and Pregnancy-Related Characteristics of Participants

Of the 4,813 puerperal women enrolled in this study, 559 (11.6%) were considered to have PPD. The average age of the participants was 29 years, with an interquartile range from 27 to 32 years old. According to the puerperal women's living arrangements, we divided these women into three groups: (1) living only with their husband; (2) living with their parents; and (3) living with their parents-in-law. The numbers of women in these three groups were 2,535 (52.7%), 664 (13.8%), and 1,614 (33.5%), respectively, and the corresponding prevalence of PPD was 10.5, 9.8, and 14.1%, respectively (shown in Figure 1). The prevalence of PPD was significantly different between women living only with husbands and women living with parents-in-law (P < 0.001). However, there was no significant difference in the prevalence of PPD between women living with parents and women living only with husbands (P > 0.05).

FIGURE 1
www.frontiersin.org

Figure 1. The PPD prevalence in puerpural women with different living arrangement.

Table 1 shows the demographic characteristics and pregnancy-related factors of the three groups. Women living with their parents-in-law were younger and had lower rates of primipara and cesarean section than women in the other two groups. In addition, there were significant differences in education level, employment status, and breastfeeding status at 6 weeks among the three groups. However, other demographic characteristics or pregnancy-related factors did not show significant differences among the groups, in terms of past psychiatric history, family history of mental illness, GDM, PIH, depression, and anxiety during pregnancy, stressful life events, male infant, preterm birth, low birth weight, and malformation.

TABLE 1
www.frontiersin.org

Table 1. Social-demographic characteristics according to PPD status of women.

Living Arrangement and PPD Risk

The results of the unadjusted and adjusted logistic regression analyses are listed in Table 2. We used four logistic regression models to control for the confounders of PPD. Model 1 (the unadjusted model) showed that women who lived with their parents-in-law (OR = 1.40; 95% CI, 1.16–1.70) had a higher risk of developing PPD than women who lived only with their husbands. Model 2 indicated that women living with their parents-in-law (OR = 1.38; 95% CI, 1.14–1.67) had an increased risk of developing PPD after adjusting for age, education, employment status, past, and family history of mental illness. In previous studies (33, 34), these covariates have been reported to be associated with the PPD risk. In Model 3, we adjusted for the effects of parity, GDM, PIH, depression and anxiety during pregnancy, and stressful life events on outcome variable, and we observed that women who lived with their parents-in-law had a significantly higher risk of developing PPD (OR = 1.40; 95% CI, 1.14–1.72) than those who only lived with their husbands. Finally, in Model 4, we made additional adjustments for the infant sex, mode of delivery, preterm birth, low birth weight, malformation, and feeding pattern at 6 weeks, which were also risk factors for PPD. The ORs remained statistically significant, with a value of 1.38 (95% CI, 1.12–1.70) for women who lived with parents-in-law compared with women who only lived with their husbands. However, in the 4 models, there was no significant difference in the risk of PPD between women who lived with their parents and those who lived only with husbands.

TABLE 2
www.frontiersin.org

Table 2. OR (95% CI) of postpartum depression according to puerperal women's living situation.

Interaction of Other Variables and Living Arrangement

Stratification analyses revealed that the association between living with parents-in-law and the presence of PPD was more significant in women with anxiety during pregnancy (P for interaction <0.05). No interaction was observed between livingwith parents-in-law and the presence of PPD in women with any other variables (P for interaction >0.05) (Figure 2).

FIGURE 2
www.frontiersin.org

Figure 2. Adjusted odds ratios for prevalence of PPD stratified by age, education, employment, parity, GDM, depression during pregnancy, anxiety during pregnancy, stressful life events, infant gender, mode of delivery, preterm birth, low birth weight, feeding method at 6 weeks. Analyses are adjusted for age, education, employment, past psychiatric history, family history of mental illness, parity, GDM, PIH, depression during pregnancy, anxiety during pregnancy, stressful life events, infant gender, mode of delivery, preterm birth, low birth weight, malformation, feeding method at 6 weeks.

Discussion

This study showed that women living with their parents-in-law were younger, and had fewer childbirth experiences, lower cesarean section rate, a higher education level, employment rate, and formula feeding rate. In addition, our study suggested that maternal living arrangements were associated with the risk of PPD. Women who lived with their parents-in-law had an increased risk of developing PPD, independent of other PPD risk factors. However, these women living with their parents did not show an increased risk of PPD.

Our study showed that living with parents-in-law was associated with a higher risk of PPD in puerperal women, which is consistent with previous studies (20, 25). The preliminary investigation conducted by Wang et al. indicated that mothers living with their parents-in-law had an additional risk for PPD in the Chinese population, with an OR value of 2.48 (95% CI: 1.20, 5.15) (20). Additionally, a large-scale cohort study in Japan found that puerperal women who did not live with their parents-in-law had a lower risk of PPD compared with those who lived with these family members (25), suggesting that co-residency with parents-in-law may damage postpartum mental status. However, a study in Nepal focused on similar areas reported that postpartum depression was associated with living in nuclear families, and puerperal women living in nuclear families had an increased risk of PPD than women living in extended families (OR 48.5) (35). However, the reliability of their results is limited due to the small sample size.

Previous surveys have shown that disharmony between mothers-in-law and daughters-in-law increases the risk of PPD among Chinese women (32, 36). In China, the contradiction between mothers-in-law and daughters-in-law is very common, especially those who live together. In the traditional concept, daughters-in-law should respect their elders and obey the wills of the elders. However, the new generation of women have received more education and have different thoughts and concepts. For those who take care of their children, new mothers may stand up for what they believe is right, which may be against the wills of their elders. Traditional concepts are challenged by modern thinking patterns, which leads to intense in-law conflicts within the families, partly explaining why living with parents-in-law increases the risk of PPD risk in puerperal women.

We observed an interaction between living with parents-in-law and anxiety during pregnancy in the presence of PPD. The relationship between living with their parents-in-law and the presence of PPD was more obvious among anxious mothers. To the best of our knowledge, no evidence is available for the interaction between living with parents-in-law and anxiety during pregnancy on the risk of PPD. However, it has been noticed that anxiety during pregnancy is associated with a poor marital relationship (37), which is identified to be a typical risk factor for PPD. Additionally, anxiety can easily lead to tension and irritability (38), which can lead to bad interpersonal relationships among women. Therefore, we speculate that women who experience anxiety during pregnancy are more likely to have poor family relationships, including marital relationships and in-law relationships, resulting in a higher risk of PPD for women who live with their parents-in-law.

Limitations

There is no doubt that this study has several limitations. First, our study was cross-sectional in design, and we could not infer the causal relationship between living with parents-in-law and the risk of PPD. Therefore, a cohort study is needed to verify this causal relationship. Second, we did not collect data on the relationship between mothers-in-law and daughters-in-law, which prevents us from exploring whether living with parents-in-law affects the risk of PPD in puerperal women because of an unsatisfactory relationship between mothers-in-law and daughters-in-law. Third, EPDS is only a tool for screening PPD, not a diagnostic tool. Further diagnosis requires the professional judgment by a psychiatrist.

Conclusions

In summary, our study demonstrated that living with their parents-in-law was associated with the risk of PPD among Chinese puerperal women. Furthermore, anxiety during pregnancy may mediate the relationship between living with parents-in-law and PPD. The effect of maternal living arrangements on PPD should be taken into consideration to prevent PPD. Further studies are needed to explore specific mechanisms underlying this association.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics Statement

The studies involving human participants were reviewed and approved by Institutional Review Committee of Baoan Maternity and Child Health Hospital. The patients/participants provided their written informed consent to participate in this study.

Author Contributions

SP did the statistical analysis and drafted the initial manuscript. XL, JQ, and YD contributed to assist with data collection and revised the manuscript. JY, YB, and YJ took part in the sample collection. LM, KW, and XZ contributed to the critical revision of the article. All authors contributed significantly to this work and have approved the final manuscript.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

We thank our colleagues in collaborated hospitals who contributed to data collection.

References

1. Gavin NI, Gaynes BN, Lohr KN, Meltzer-Brody S, Gartlehner G, Swinson T. Perinatal depression: a systematic review of prevalence and incidence. Obstet Gynecol 106(5 Pt 1). (2005) 1071–83. doi: 10.1097/01.AOG.0000183597.31630.db

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Norhayati MN, Hazlina NH, Asrenee AR, Emilin WM. Magnitude and risk factors for postpartum symptoms: a literature review. J Affect Disord. (2015) 175:34–52. doi: 10.1016/j.jad.2014.12.041

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Nisar A, Yin J, Waqas A, Bai X, Wang D, Rahman A, et al. Prevalence of perinatal depression and its determinants in Mainland China: A systematic review and meta-analysis. J Affect Disord. (2020) 277:1022–37. doi: 10.1016/j.jad.2020.07.046

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Gelaye B, Rondon MB, Araya R, Williams MA. Epidemiology of maternal depression, risk factors, and child outcomes in low-income and middle-income countries. Lancet Psychiatry. (2016) 3:973–82. doi: 10.1016/S2215-0366(16)30284-X

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Gutierrez-Lobos K, Scherer M, Anderer P, Katschnig H. The influence of age on the female/male ratio of treated incidence rates in depression. BMC Psychiatry. (2002) 2:3. doi: 10.1186/1471-244X-2-3

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Posmontier B. Functional status outcomes in mothers with and without postpartum depression. J Midwifery Womens Health. (2008) 53:310–8. doi: 10.1016/j.jmwh.2008.02.016

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Verbeek T, Bockting CL, van Pampus MG, Ormel J, Meijer JL, Hartman CA, et al. Postpartum depression predicts offspring mental health problems in adolescence independently of parental lifetime psychopathology. J Affect Disord. (2012) 136:948–54. doi: 10.1016/j.jad.2011.08.035

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Closa-Monasterolo R, Gispert-Llaurado M, Canals J, Luque V, Zaragoza-Jordana M, Koletzko B, et al. The effect of postpartum depression and current mental health problems of the mother on child behaviour at eight years. Matern Child Health J. (2017) 21:1563–72. doi: 10.1007/s10995-017-2288-x

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Abdollahi F, Zarghami M. Effect of postpartum depression on women's mental and physical health four years after childbirth. East Mediterr Health J. (2018) 24:1002–9. doi: 10.26719/2018.24.10.1002

PubMed Abstract | CrossRef Full Text | Google Scholar

10. O'Hara MW. Postpartum depression: what we know. J Clin Psychol. (2009) 65:1258–69. doi: 10.1002/jclp.20644

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Helle N, Barkmann C, Bartz-Seel J, Diehl T, Ehrhardt S, Hendel A, et al. Very low birth-weight as a risk factor for postpartum depression four to six weeks postbirth in mothers and fathers: Cross-sectional results from a controlled multicentre cohort study. J Affect Disord. (2015) 180:154–61. doi: 10.1016/j.jad.2015.04.001

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Qobadi M, Collier C, Zhang L. The effect of stressful life events on postpartum depression: findings from the 2009-2011 mississippi pregnancy risk assessment monitoring system. Matern Child Health J. (2016) 20(Suppl 1):164–72. doi: 10.1007/s10995-016-2028-7

PubMed Abstract | CrossRef Full Text | Google Scholar

13. de Paula Eduardo JAF, de Rezende MG, Menezes PR, Del-Ben CM. Preterm birth as a risk factor for postpartum depression: a systematic review and meta-analysis. J Affect Disord. (2019) 259:392–403. doi: 10.1016/j.jad.2019.08.069

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Zhang S, Wang L, Yang T, Chen L, Qiu X, Wang T, et al. Maternal violence experiences and risk of postpartum depression: a meta-analysis of cohort studies. Eur Psychiatry. (2019) 55:90–101. doi: 10.1016/j.eurpsy.2018.10.005

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Chiu CT. Living arrangements and disability-free life expectancy in the United States. PLoS ONE. (2019) 14:e0211894. doi: 10.1371/journal.pone.0211894

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Hu Y, Ruiz M, Bobak M, Martikainen P. Do multigenerational living arrangements influence depressive symptoms in mid-late life? Cross-national findings from China and England. J Affect Disord. (2020) 277:584–91. doi: 10.1016/j.jad.2020.07.142

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Roystonn K, Abdin E, Shahwan S, Zhang Y, Sambasivam R, Vaingankar JA, et al. Living arrangements and cognitive abilities of community-dwelling older adults in Singapore. Psychogeriatrics. (2020) 20:625–35. doi: 10.1111/psyg.12532

PubMed Abstract | CrossRef Full Text | Google Scholar

18. An JY, An K, O'Connor L, Wexler S. Life satisfaction, self-esteem, and perceived health status among elder Korean women: focus on living arrangements. J Transcult Nurs. (2008) 19:151–60. doi: 10.1177/1043659607313070

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Zhou Z, Mao F, Ma J, Hao S, Qian ZM, Elder K, et al. A Longitudinal analysis of the association between living arrangements and health among older adults in China. Res Aging. (2018) 40:72–97. doi: 10.1177/0164027516680854

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Wang YY, Li H, Wang YJ, Wang H, Zhang YR, Gong L, et al. Living with parents or with parents-in-law and postpartum depression: a preliminary investigation in China. J Affect Disord. (2017) 218:335–8. doi: 10.1016/j.jad.2017.04.052

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Wang SY, Jiang XY, Jan WC, Chen CH. A comparative study of postnatal depression and its predictors in Taiwan and mainland China. Am J Obstet Gynecol. (2003) 189:1407–12. doi: 10.1067/S0002-9378(03)00673-2

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Lee DT, Yip AS, Leung TY, Chung TK. Ethnoepidemiology of postnatal depression. Prospective multivariate study of sociocultural risk factors in a Chinese population in Hong Kong. Br J Psychiatry. (2004) 184:34–40. doi: 10.1192/bjp.184.1.34

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Cheng ST, Chan AC. Filial piety and psychological well-being in well older Chinese. J Gerontol B Psychol Sci Soc Sci. (2006) 61:P262–269. doi: 10.1093/geronb/61.5.P262

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Leung SK, Arthur D, Martinson IM. Perceived stress and support of the Chinese postpartum ritual “doing the month”. Health Care Women Int. (2005) 26:212–24. doi: 10.1080/07399330590917771

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Honjo K, Kimura T, Baba S, Ikehara S, Kitano N, Sato T, et al. Association between family members and risk of postpartum depression in Japan: Does “who they live with” matter? Japan Environ Children's Study. Soc Sci Med. (2018) 217:65–72. doi: 10.1016/j.socscimed.2018.09.043

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Rahman A, Iqbal Z, Harrington R. Life events, social support and depression in childbirth: perspectives from a rural community in the developing world. Psychol Med. (2003) 33:1161–7. doi: 10.1017/S0033291703008286

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Aydin N, Inandi T, Yigit A, Hodoglugil NN. Validation of the Turkish version of the Edinburgh Postnatal Depression Scale among women within their first postpartum year. Soc Psychiatry Psychiatr Epidemiol. (2004) 39:483–6. doi: 10.1007/s00127-004-0770-4

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Felice E, Saliba J, Grech V, Cox J. Validation of the Maltese version of the Edinburgh postnatal depression scale. Arch Womens Ment Health. (2006) 9:75–80. doi: 10.1007/s00737-005-0099-3

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Garcia-Esteve L, Ascaso C, Ojuel J, Navarro P. Validation of the Edinburgh Postnatal Depression Scale (EPDS) in Spanish mothers. J Affect Disord. (2003) 75:71–6. doi: 10.1016/S0165-0327(02)00020-4

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Vengadavaradan A, Bharadwaj B, Sathynarayanan G, Durairaj J, Rajaa S. Translation, validation and factor structure of the Tamil version of the Postpartum Bonding Questionnaire (PBQ-T). Asian J Psychiatr. (2019) 40:62–7. doi: 10.1016/j.ajp.2019.01.018

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Lee DT, Yip SK, Chiu HF, Leung TY, Chan KP, Chau IO, et al. Detecting postnatal depression in Chinese women. Validation of the Chinese version of the Edinburgh Postnatal Depression Scale. Br J Psychiatry. (1998) 172:433–7. doi: 10.1192/bjp.172.5.433

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Xiong R, Deng A, Wan B, Liu Y. Prevalence and factors associated with postpartum depression in women from single-child families. Int J Gynaecol Obstet. (2018) 141:194–9. doi: 10.1002/ijgo.12461

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Miyake Y, Tanaka K, Sasaki S, Hirota Y. Employment, income, and education and risk of postpartum depression: the Osaka Maternal and Child Health Study. J Affect Disord. (2011) 130:133–7. doi: 10.1016/j.jad.2010.10.024

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Guintivano J, Sullivan PF, Stuebe AM, Penders T, Thorp J, Rubinow DR, et al. Adverse life events, psychiatric history, and biological predictors of postpartum depression in an ethnically diverse sample of postpartum women. Psychol Med. (2018) 48:1190–200. doi: 10.1017/S0033291717002641

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Khadka R, Hong SA, Chang YS. Prevalence and determinants of poor sleep quality and depression among postpartum women: a community-based study in Ramechhap district, Nepal. Int Health. (2019) 12:125–31. doi: 10.1093/inthealth/ihz032

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Deng AW, Xiong RB, Jiang TT, Luo YP, Chen WZ. Prevalence and risk factors of postpartum depression in a population-based sample of women in Tangxia Community, Guangzhou. Asian Pac J Trop Med. (2014) 7:244–9. doi: 10.1016/S1995-7645(14)60030-4

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Gourounti K, Anagnostopoulos F, Sandall J. Poor marital support associate with anxiety and worries during pregnancy in Greek pregnant women. Midwifery. (2014) 30:628–35. doi: 10.1016/j.midw.2013.10.008

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Tyrer P, Baldwin D. Generalised anxiety disorder. Lancet. (2006) 368:2156–66. doi: 10.1016/S0140-6736(06)69865-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: postpartum depression, living arrangements, interaction, parents-in-law, risk

Citation: Peng S, Lai X, Qiu J, Du Y, Yang J, Bai Y, Jia Y, Meng L, Wang K and Zhang X (2021) Living With Parents-In-Law Increased the Risk of Postpartum Depression in Chinese Women. Front. Psychiatry 12:736306. doi: 10.3389/fpsyt.2021.736306

Received: 05 July 2021; Accepted: 02 December 2021;
Published: 20 December 2021.

Edited by:

Sandraluz Lara-Cinisomo, University of Illinois at Urbana-Champaign, United States

Reviewed by:

Miao Qu, Capital Medical University, China
Soonhyung Kwon, University of Illinois at Urbana-Champaign, United States

Copyright © 2021 Peng, Lai, Qiu, Du, Yang, Bai, Jia, Meng, Wang and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Liping Meng, mlpyy@163.com; Kewei Wang, wangkw78@163.com; Xiangyang Zhang, zhangxy@psych.ac.cn

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.