Next Article in Journal
Hospital-Acquired SARS-Cov-2 Infections in Patients: Inevitable Conditions or Medical Malpractice?
Previous Article in Journal
Quality of Life of Patients with Glaucoma in Slovakia
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

The Mediating Effect of Marital Intimacy on the Relationship between Spouse-Related Stress and Prenatal Depression in Pregnant Couples: An Actor–Partner Interdependent Model Test

College of Nursing, Eulji University, 77, Gyeryong-ro, 771 beon-gil, Jung-gu, Daejeon 34824, Korea
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2021, 18(2), 487; https://doi.org/10.3390/ijerph18020487
Submission received: 8 December 2020 / Revised: 27 December 2020 / Accepted: 31 December 2020 / Published: 9 January 2021

Abstract

:
Prenatal depression is an important factor in predicting postpartum depression. Most studies have assessed factors affecting prenatal depression by focusing on pregnant wives. However, the emotional and psychological aspects of both expectant parents need to be considered. Therefore, the purpose of this study was to examine the effect of spouse-related stress in expectant couples on prenatal depression and investigate the mediating effects of marital intimacy on this relationship. A total of 120 expectant couples from two cities in Korea at more than 15 weeks of completed pregnancy participated in the study. Using a structured questionnaire, we assessed the general characteristics of the participants, spouse-related stress, prenatal depression, and marital intimacy. The results revealed that four actor effects and one partner effect were significant. Marital intimacy and prenatal depression among expectant parents were affected by spouse-related stress. Moreover, spouse-related stress in the husbands completely mediated marital intimacy in pregnant wives, demonstrating partner effects on prenatal depression in pregnant wives. Therefore, it was observed that paternal factors affect prenatal depression in pregnant wives. This warrants the inclusion of husbands in marital interventions and strategies to improve marital intimacy in pregnant wives.

1. Introduction

1.1. Background

Many pregnant wives experience physical, mental, and social changes, besides stress and depression, during pregnancy. In pregnant wives, depression may develop before and after childbirth. However, the vast majority of studies on depression in pregnant wives have focused more on postpartum depression than on prenatal depression. The prevalence of prenatal depression in pregnant wives has varied across studies. Approximately 10–35% of pregnant wives show symptoms of depression, and about 7% of pregnant wives experience depression after childbirth [1,2,3,4]. Pregnancy is also a significant stage in men’s lives as they prepare for fatherhood, and, like pregnant wives, men are known to experience prenatal depression [5,6]. A recent meta-analytic study found the prevalence rate of paternal prenatal depression to be 9.76% throughout the pregnancy period, although there were slight differences in the prevalence rate according to the stage of pregnancy [7]. This rate is slightly lower than that of prenatal depression in pregnant wives, indicating that paternal prenatal depression should not be overlooked.
Prenatal depression is one of the factors affecting postpartum depression; it is also a strong predictor of postpartum depression [8,9]. Depression in pregnant couples can act as a mediating factor in both partners, such that severe prenatal depression or depression in one spouse can increase their partner’s prenatal depression [10,11,12]. Factors affecting prenatal depression can be broadly divided into demographic, obstetric, and sociopsychological factors, wherein both women and men show common sociopsychological features. More specifically, higher stress during pregnancy in both men and women [6,13,14] and lower qualitative satisfaction with the marital relationship have been shown to cause higher prenatal depression [6,15,16].
During pregnancy, couples experience stress caused by various pregnancy-related concerns such as anxiety about the delivery, worries about the health of the fetus, and spousal changes in emotion [5,6,17]. A meta-analytic study found that difficulties faced in marital relationships greatly influence prenatal depression among both men and women [15,16], indicating that marital stress has significant negative effects on prenatal depression.
Intimacy is the concept of establishing a deep interpersonal relationship. It is an essential emotion for couples, the smallest unit of a family [18]. Lack of intimacy in a marriage causes sociopsychological maladjustment, depression, emotional disorders, and postpartum depression; moreover, the degree of marital intimacy may vary depending on the level of stress in the spousal relationship [19,20,21]. In particular, low marital intimacy causes emotional confusion and depression in pregnant wives who are already undergoing physical, mental, and social changes. Thus, husbands need to help their pregnant wives adapt to the various changes they are experiencing [22,23,24]. In other words, high marital intimacy is a positive factor that can promote emotional stability in both partners, acting as a buffer against stress in their relationship. Therefore, it is necessary to clarify the role of marital intimacy in the relationship between prenatal depression and spouse-related stress.
Although stress and relationship quality—as perceived by pregnant wives and their husbands during pregnancy and childbirth—are major factors affecting depression in both partners, many studies have mainly focused on pregnant wives. This has led to difficulties in establishing an effective prenatal depression relief intervention. A husband and wife are in a mutually complementary relationship that involves sharing and solving everyday problems. Accordingly, the emotional and psychological aspects of a pregnant couple should not be studied separately. Therefore, in this study, the actor–partner interdependent model (APIM) [25] was applied to couples in their second trimester to assess factors affecting prenatal depression besides factors of interaction between partners. In particular, the purpose of this study was to present a valid basis for developing a program to reduce prenatal depression by assessing the mediating effects of marital intimacy on the relationship between spouse-related stress and prenatal depression in expectant parents.

1.2. Objectives

This survey study assessed the relationship between spouse-related stress and prenatal depression in expectant parents. Furthermore, the mediating effects of marital intimacy on this relationship were investigated. The specific aims of this study were as follows:
  • To assess the level of spouse-related stress, marital intimacy, and prenatal depression among expectant parents.
  • To assess the correlation between spouse-related stress, marital intimacy, and prenatal depression among expectant parents.
  • To assess the actor–partner interdependent effects of spouse-related stress and marital intimacy on the prenatal depression in expectant parents.
  • To assess the mediating effects of marital intimacy on the relationship between spouse-related stress and prenatal depression in expectant parents.

2. Methods

2.1. Study Design

This was a cross-sectional survey study using APIM analysis to assess the effects of spouse-related stress and marital intimacy on prenatal depression in expectant parents. The APIM utilizes one-to-one data such as couples for analysis, and it is useful in identifying relationships [25].

2.2. Participants

After obtaining approval from the Institute Review Board of Eulji University (EU19-05), recruitment announcements for study participation were made in women’s hospitals and public health centers located in the S and D regions of Korea to recruit research participants. The inclusion criteria for couples were that the wives must have been pregnant for more than 15 weeks, neither partner was diagnosed with mental health problems, and both partners agreed to voluntarily participate in the study after understanding its purpose. The stage of pregnancy, over 15 weeks, was chosen as this is considered a relatively stable period at the beginning of the second trimester. The subjects who agreed to participate in the study completed a questionnaire following its explanation by the research assistant at the recruitment announcement agency. The questionnaire was self-reported, and the time required to complete the questionnaire was approximately 15 min. Data were collected from 6 February to 2 July 2019. A total of 125 pairs of questionnaires were distributed, and 123 pairs were received. Among the collected questionnaires, we analyzed data from 120 pairs (110 pregnant wives and 110 husbands), excluding three pairs of questionnaires answered by only one partner or with missing responses.
It was necessary to determine the sample size in the structural equation model in consideration of the complexity of the model (it was desirable to use a sample size 10 times greater than the number of free parameters) [26]. As a result, 120 expectant couples were included in the study, which satisfied the condition for the minimum sample size.

2.3. Measurement

2.3.1. Spouse-Related Stress

This study used items on spouse-related areas from a pregnancy-related-stress measurement tool developed by Ahn [27] and evaluated by Lee and Seo [28] for reliability and validity. Each item was scored on a 5-point Likert scale. A score of 1 indicated “I am not worried at all,” and a score of 5 indicated “I am not comfortable at all” and “I am constantly worried.” Higher scores indicated higher spouse-related stress. In the study by Lee and Seo [28], Cronbach’s α, indicating the reliability of the results of spouse-related stress, was found to be 0.79. In this study, Cronbach’s α for spouse-related stress was 0.89 for pregnant wives and 0.83 for husbands.

2.3.2. Marital Intimacy

This study used the intimacy subdomain of the Korean marriage satisfaction scale developed by Jeong [29] to measure marital intimacy. It was confirmed in the original paper that it is acceptable to use subdomains as individual scales depending on the needs of the researcher. The intimacy subdomain consisted of items on respect, expression of affection, free time spent together, and caring for one’s spouse. Each item was scored on a 4-point Likert scale, with a score of 1 indicating “not at all” and a score of 4 indicating “very much.” Higher scores indicated higher marital intimacy. Cronbach’s α for each sub-domain of the scale was in the range of 0.81–0.93. In this study, Cronbach’s α for marital intimacy was 0.96 for pregnant wives and 0.95 for husbands.

2.3.3. Prenatal Depression

In this study, the modified Edinburgh Postnatal Depression Scale (EPDS), originally developed by Cox, Holden, and Sagovsky [30], was used to evaluate depression during pregnancy. The tool was originally developed to screen for postpartum depression; however, previous studies have demonstrated the validity of the tool to measure depression during pregnancy, as well [31,32]. The scale comprises 10 items, assessing depression, anxiety, and suicidal thoughts during the preceding week. The items are evaluated on a 4-point scale. Possible scores range from 0 to 30 points, with higher scores indicating more severe prenatal depression. In this study, Cronbach’s α for prenatal depression was 0.88 for pregnant wives and 0.71 for husbands.

2.4. Statistical Methods

The collected data were analyzed using SPSS 25.0 (IBM, Armonk, NY, USA) and Amos 25.0 (IBM, Armonk, NY, USA). The general characteristics of the study participants were analyzed using means, standard deviations, and percentages. Individual measurement variables were analyzed using descriptive statistics, and skewness and kurtosis were assessed to confirm the normality of the data. Cronbach’s α was calculated to assess the reliability of the measurement tools. The correlations between spouse-related stress, marital intimacy, and prenatal depression in the study participants were assessed using Pearson’s correlation coefficient. Following this, the measurement model was evaluated using construct reliability (CR) and average variance extracted (AVE). Finally, the study model was verified using chi-square (χ2), root mean square error of approximation (RMSEA), standardized root mean square residual (SRMR), comparative fit index (CFI), and Tucker–Lewis index (TLI).

3. Results

3.1. General Characteristics

The mean age of pregnant wives and their husbands in the study was 33 and 35 years, respectively. Regarding the educational level of the participants, most of the pregnant wives (70.8%) and their husbands (65.8%) had graduated from college. Moreover, most of the pregnant wives (53.3%) and their husbands (59.2%) were atheists. Regarding the degree of depression experienced in daily life, 57.5% of the wives answered that they were “not depressed,” 33.3% stated that they were “sometimes depressed,” and 9.2% said that they were “depressed.” Among the husbands, 70.8% responded that they were “not depressed,” 22.5% indicated that they were “sometimes depressed,” and 6.7% answered that they were “depressed.” The percentage of pregnant wives and husbands satisfied with their marriage was 92.5% and 97.5%, respectively (Table 1).

3.2. Descriptive Statistics and Validity Verification of Measurement Variables

Mean stress (pregnant wives = 2.57, husbands = 2.31), marital intimacy (pregnant wives = 3.07, husbands = 3.10), and depression (pregnant wives = 0.80, husbands = 0.55) were assessed (Table 2). In the univariate test for all measured variables, the skewness and kurtosis did not exceed the absolute values of 2 and 4, respectively, satisfying the condition for normality of the data [33] (Table 2). Regarding the confirmatory factor analysis (CFA) results, construct validity of AVE above 0.5 and CR above 0.7 were assessed. The AVE and CR of the latent variables were 0.61–0.89 and 0.72–0.94, respectively, demonstrating that the measurement variables sufficiently represented the six latent variables (Table 3). The correlation coefficient was −0.02~0.58, and stress was found to correlate negatively and positively with marital intimacy and depression, respectively (Table 3). In addition, marital intimacy was found to correlate negatively with depression.

3.3. Test of Measurement Invariance

The test of measurement invariance between the base model and the constrained model is considered significant if the result is higher than the χ2 difference for a given degree of freedom at a significant probability of 0.05 [33]. In the current study, this referred to different perceptions of the construct between the couples. In the basic model and constrained model, the χ2 difference was 6.08 (df = 6) (Table 4), which was lower than the χ2 difference of 12.59 for six degrees of freedom, indicating a nonsignificant result. In other words, it was observed that the expectant parents had the same perception of the measurement tools. This finding was meaningful for APIM analysis; thus, verification of the model was conducted.

3.4. Research Model Verification

When the fitness of the model was evaluated, the fitness index was χ2/df = 1.30, SRMR = 0.07, CFI = 0.95, TLI = 0.93, and RMSEA = 0.05. The χ2/df, SRMR, and RMSEA were less than 3, 0.08, and 0.08, respectively. CFI and TLI were both higher than 0.90, suggesting an acceptable range of fit of the model. In the research model, a total of five paths were adopted as four actor effects, and one partner effect was found to be significant (Figure 1). Marital intimacy in the pregnant wives had direct partner effects on spouse-related stress in the husbands (β = −0.28, p = 0.031) with an explanatory power of 8.2%. In addition, spouse-related stress in the husbands had partner effects on prenatal depression in pregnant wives through complete mediation of marital intimacy in pregnant wives. Marital intimacy in the husbands had direct actor effects on spouse-related stress (β = −0.32, p = 0.010) in husbands with an explanatory power of 10.1%. Depression in pregnant wives had direct actor effects on spouse-related stress (β = 0.36, p = 0.010) and marital intimacy in pregnant wives (β = −0.38, p = 0.030) with an explanatory power of 23.8%. Depression in the husbands had direct actor effects on spouse-related stress (β = 0.44, p = 0.020) with an explanatory power of 26.3% (Table 5).

4. Discussion

Pregnancy is a joyful event in women’s lives; however, it is also a stressful event accompanied by physical changes and hormone-induced emotional changes. Previous studies on factors that influence depression have investigated pregnant women and expectant fathers separately, that is, studies have not involved couples. Therefore, in order to supplement the existing research, this study was conducted to examine the effects that partners may have on each other through analyzing couple data. Furthermore, this study attempted to assess the effects of spouse-related stress during pregnancy on prenatal depression by measuring marital intimacy through an analysis of actor and partner effects. The results of the study revealed many important implications.
First, the assessment of the actor and partner effects of spouse-related stress on prenatal depression showed that pregnant wives and their husbands had actor effects of increasing their own prenatal depression as spouse-related stress increased; no partner effects were observed in this regard. These findings were consistent with the results of previous studies [13,14], which have shown that stress acts as a major factor affecting prenatal depression. However, these results were also different from other studies [6], which found that stress experienced by one partner was related to depression suffered by both partners. Among the various factors influencing prenatal depression, there have been many studies on family and marital relationships. This study adds to the aforementioned literature by suggesting that spouse-related stress is a factor affecting prenatal depression. The stress measurement tools employed in this study consisted of items to assess stress resulting from difficulties in caring for one’s spouse due to pregnancy, including marital sexual activity. Therefore, educating couples on the changes and adaptations expected during pregnancy is necessary to alleviate prenatal depression. It is further suggested that information on maintaining a healthy sex life during pregnancy be included in this educational initiative.
Second, the assessment of the actor and partner effects of marital intimacy on prenatal depression showed that only actor effects were observed in the pregnant wives. There were no partner effects in either expectant parent. These results are consistent with the findings of previous studies showing that higher marital intimacy perceived by pregnant wives leads to less prenatal depression [34] and that the strength of a wife’s relationship with her husband, especially concerning marital intimacy, is closely related to her happiness when pregnant [35]. Marital intimacy is a process of emotional exchange that goes beyond simply maintaining a satisfactory relationship. It indicates a feeling of well-being experienced by partners in intellectual, physical, and emotional domains, and it plays a key role in sustaining family relationships [29]. Therefore, active communication between partners is fundamental to help pregnant women feel respected and loved, and experience a positive self-being during pregnancy. Such efforts will ultimately help to reduce prenatal depression.
Third, spouse-related stress in pregnant wives did not demonstrate actor or partner effects on marital intimacy. This finding contradicts the results of a previous study [36] reporting that the relationship between wives and their husbands acts as a buffer against stress during pregnancy. As described earlier, the current study did not reflect the various stress factors perceived by pregnant wives, resulting in the differences between these results and those of previous studies. Therefore, future studies on the relationship between spouse-related stress and marital intimacy in pregnant wives are necessary. In contrast to this study’s results regarding pregnant wives, for whom spouse-related stress had neither actor nor partner effects on marital intimacy, spouse-related stress in the husbands demonstrated negative actor and partner effects, suggesting that active management of this stress is necessary. This finding supports a previous qualitative study [5], which showed that husbands can experience various forms of stress during a partner’s pregnancy and that husbands perceive changes in their relationship with their wives during pregnancy, including experiencing less spousal intimacy. It has also been observed that emotional changes in the husbands, resulting from pregnancy, are as substantial as those of pregnant wives. Accordingly, a permissive social atmosphere acknowledging these emotional changes and providing support for the management of stress in husbands is required.
Finally, the effects of spouse-related stress on prenatal depression in consideration of marital intimacy were assessed in this study. In pregnant wives, spouse-related stress during pregnancy showed neither actor nor partner effects on marital intimacy. However, the opposite trend was observed in the husbands. It is noteworthy that spouse-related stress during pregnancy in husbands may aggravate prenatal depression by completely mediating the marital intimacy of pregnant wives. In other words, spouse-related stress in husbands can have positive or negative effects on prenatal depression in pregnant wives depending on the wives’ perceived level of marital intimacy. The findings of this study demonstrate the importance of interventions to improve the marital intimacy of pregnant wives. Such interventions need to be included in the development of future programs to help alleviate prenatal depression in pregnant wives.
Many studies have conducted APIM analyses to assess the dynamic interactions between middle-aged or elderly couples. However, this study is a novel attempt at assessing actor and partner effects on prenatal depression, especially among pregnant couples. Furthermore, this study showed that prenatal depression can be affected and experienced by both expectant parents. Thus, this study is significant in that it presents the basis for practical educational content that can be used in future prenatal depression intervention programs.
This study is limited in several respects. First, this study involved only 120 expectant couples residing in two cities in Korea, which limits the generalizability of its results. Second, due to the lack of previous studies implicating spouse-related stress as a factor affecting prenatal depression, a direct comparison between this study and previous studies’ results could not be made. In this regard, further studies on the relationship between spouse-related stress and prenatal depression are suggested. Additionally, as intimacy between partners can be affected by pregnancy, identifying changes by measuring levels of intimacy before, during, and after pregnancy is recommended. Third, in follow-up studies, it would be necessary to assess the validity of models by comparing and analyzing the paths between healthy pregnant wives and those suffering from prenatal depression.

5. Conclusions

This study utilized the APIM to examine the actor and partner effects of spouse-related stress on prenatal depression in pregnant wives and their husbands by considering marital intimacy during pregnancy. It was observed that the spouse-related stress and marital intimacy of pregnant wives had actor effects on prenatal depression. In the husbands, only spouse-related stress showed actor effects on prenatal depression. Furthermore, it was observed that spouse-related stress in the husbands affected prenatal depression in pregnant wives through the complete mediation of marital intimacy perceived by the wives. As a result, both maternal and paternal factors affected prenatal depression in pregnant wives, suggesting that husbands should also be considered in planning interventions to reduce prenatal depression. Besides, this study provided basic data to support the inclusion of strategies to improve the marital intimacy of pregnant wives in intervention programs.

Author Contributions

Conceptualization, M.-K.L. and M.L.; methodology, M.-K.L.; software, M.-K.L.; validation, M.-K.L., Y.-S.K.; formal analysis, Y.-S.K.; investigation, M.L.; resources, M.L.; data curation, M.L.; writing—original draft preparation, M.-K.L.; writing—review and editing, M.-K.L.; visualization, Y.-S.K.; supervision, M.-K.L.; project administration, M.-K.L.; funding acquisition, M.-K.L. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT), grant number 2017R1C1B5076927.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Institute Review Board of Eulji University (EU19-05 and 8 February 2019).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Conflicts of Interest

The authors declare no conflict of interest. The funder had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

References

  1. Gordon, T.E.; Cardone, I.A.; Kim, J.J.; Gordon, S.M.; Silver, R.K. Universal perinatal depression screening in an Academic Medical Center. Obstet. Gynecol. 2006, 107, 342–347. [Google Scholar] [CrossRef] [PubMed]
  2. Underwood, L.; Waldie, K.; D’Souza, S.; Peterson, E.R.; Morton, S. A review of longitudinal studies on antenatal and postnatal depression. Arch. Womens Ment. Health 2016, 19, 711–720. [Google Scholar] [CrossRef] [PubMed]
  3. Choi, S.; Ahn, S.; Shin, J.; Jang, D. A clinical study of depressive symptoms during pregnancy. Obstet. Gynecol. Sci. 2009, 52, 1102–1108. [Google Scholar]
  4. Kim, Y.; Chung, C. Factors of Prenatal Depression by Stress-vulnerability and Stress-coping Models. Korean J. Women Health Nur. 2014, 20, 38–47. [Google Scholar] [CrossRef] [Green Version]
  5. Darwin, Z.; Galdas, P.; Hinchliff, S.; Littlewood, E.; McMillan, D.; McGowan, L.; Gilbody, S.; BaBY team. Fathers’ views and experiences of their own mental health during pregnancy and the first postnatal year: A qualitative interview study of men participating in the UK Born and Bred in Yorkshire (BaBY) cohort. BMC Pregnancy Childbirth 2017, 17, 45. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Divney, A.A.; Sipsma, H.; Gordon, D.; Niccolai, L.; Magriples, U.; Kershaw, T. Depression during Pregnancy among Young Couples: The Effect of Personal and Partner Experiences of Stressors and the Buffering Effects of Social Relationships. J. Pediatr. Adolesc. Gynecol. 2012, 25, 201–207. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Rao, W.W.; Zhu, X.M.; Zong, Q.Q.; Zhang, Q.; Hall, B.J.; Ungvari, G.S.; Xiang, Y. Prevalence of prenatal and postpartum depression in fathers: A comprehensive meta-analysis of observational surveys. J. Affect. Disord. 2020, 263, 491–499. [Google Scholar] [CrossRef]
  8. Faisal-Cury, A.; Menezes, P.R. Antenatal depression strongly predicts postnatal depression in primary health care. Rev. Bras. Psiquiatr. 2012, 34, 446–450. [Google Scholar] [CrossRef]
  9. Paulson, J.F.; Bazemore, S.D.; Goodman, J.H.; Leiferman, J.A. The course and interrelationship of maternal and paternal perinatal depression. Arch. Womens Ment. Health 2016, 19, 655–663. [Google Scholar] [CrossRef] [Green Version]
  10. Cameron, E.E.; Sedov, I.D.; Tomfohr-Madsen, L.M. Prevalence of paternal depression in pregnancy and the postpartum: An updated meta-analysis. J. Affect. Disord. 2016, 206, 189–203. [Google Scholar] [CrossRef]
  11. Da Costa, D.; Zelkowitz, P.; Dasgupta, K.; Sewitch, M.; Lowensteyn, I.; Cruz, R.; Hennegen, K.; Khalifé, S. Dads Get Sad Too: Depressive Symptoms and Associated Factors in Expectant First-Time Fathers. Am. J. Mens Health 2017, 11, 1376–1384. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Paulson, J.F.; Bazemore, S.D. Prenatal and postpartum depression in fathers and its association with maternal depression: A meta-analysis. JAMA 2010, 303, 1961–1969. [Google Scholar] [CrossRef] [PubMed]
  13. Underwood, L.; Waldie, K.E.; Peterson, E.; D’Souza, S.; Verbiest, M.; McDaid, F.; Morton, S. Paternal Depression Symptoms During Pregnancy and After Childbirth Among Participants in the Growing Up in New Zealand Study. JAMA Psychiatry 2017, 74, 360–369. [Google Scholar] [CrossRef] [PubMed]
  14. Underwood, L.; Waldie, K.E.; D’Souza, S.; Peterson, E.R.; Morton, S. A longitudinal study of pre-pregnancy and pregnancy risk factors associated with antenatal and postnatal symptoms of depression: Evidence from growing up in New Zealand. Matern. Child Health J. 2017, 21, 915–931. [Google Scholar] [CrossRef] [PubMed]
  15. Chhabra, J.; McDermott, B.; Li, W. Risk factors for paternal perinatal depression and anxiety: A systematic review and meta-analysis. Psychol. Men Masc. 2020, 21, 593–611. [Google Scholar] [CrossRef] [Green Version]
  16. Dadi, A.F.; Miller, E.R.; Mwanri, L. Antenatal depression and its association with adverse birth outcomes in low and middle-income countries: A systematic review and meta-analysis. PLoS ONE 2020, 15, e0227323. [Google Scholar] [CrossRef]
  17. Lynn, F.A.; Alderdice, F.A.; Crealey, G.E.; McElnay, J.C. Associations between maternal characteristics and pregnancy-related stress among low-risk mothers: An observational cross-sectional study. Int. J. Nurs. Stud. 2011, 48, 620–627. [Google Scholar] [CrossRef]
  18. Waring, E.M.; Tillman, M.P.; Frelick, L.; Russell, L.; Weisz, G. Concepts of intimacy in the general population. J. Nerv. Ment. Dis. 1980, 168, 471–474. [Google Scholar] [CrossRef]
  19. Kim, H.J. Comparison of the Level of Marital Intimacy according to the Level of Stress among Middle-aged Women. J. Korean Soc. Matern. Child Health 2001, 5, 123–136. [Google Scholar]
  20. Patton, D.; Waring, E. The quality and quantity of marital intimacy in the marriages of psychiatric patients. J. Sex Marital Ther. 1984, 10, 201–206. [Google Scholar] [CrossRef]
  21. Gallagher, R.W.; Hobfoll, S.E.; Ritter, C.; Lavin, J. Marriage, intimate support and depression during pregnancy: A study of inner-city women. J. Health Psychol. 1997, 2, 457–469. [Google Scholar] [CrossRef] [PubMed]
  22. Kim, M.; Yu, M. Influence of marital intimacy, family support, and fatigue on the stress of pregnant woman. J Korea Acad. Industr. Coop. Soc. 2014, 15, 2179–2188. [Google Scholar]
  23. Raymond, J.E. ‘Creating a safety net’: Women’s experiences of antenatal depression and their identification of helpful community support and services during pregnancy. Midwifery 2009, 25, 39–49. [Google Scholar] [CrossRef] [PubMed]
  24. Chapman, H.A.; Hobfoll, S.E.; Ritter, C.J. Partners’ stress underestimations lead to women’s distress: A study of pregnant inner-city women. J. Pers. Soc. Psychol. 1997, 73, 418–425. [Google Scholar] [CrossRef] [PubMed]
  25. Kenny, D.A. Models of non-independence in dyadic research. J. Soc. Pers. Relat. 1996, 13, 279–294. [Google Scholar] [CrossRef]
  26. Kang, H.C. Structural Equation Model Analysis and Application (Using SPSS/AMOS); Freeacademy: Paju, Korea, 2019. [Google Scholar]
  27. Ahn, H. An experimental study of the effects of husband’s supportive behavior reinforcement education on stress relief of primigravidas. J. Nurses Acad. Soc. 1985, 15, 5–16. [Google Scholar] [CrossRef]
  28. Lee, H.; Seo, M. Validity and Reliability Evaluation of Pregnancy Related Stress Scale. J. Korea Acad. Industr. Coop. Soc. 2017, 18, 503–512. [Google Scholar] [CrossRef]
  29. Jung, H.S. A study of development of the Korean-marital satisfaction scale. J. Korean Home Econ. Assoc. 2001, 39, 205–224. [Google Scholar]
  30. 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. [Google Scholar] [CrossRef] [Green Version]
  31. Gibson, J.; McKenzie-McHarg, K.; Shakespeare, J.; Price, J.; Gray, R. A systematic review of studies validating the Edinburgh Postnatal Depression Scale in antepartum and postpartum women. Acta Psychiatr. Scand. 2009, 119, 350–364. [Google Scholar] [CrossRef]
  32. Rhee, Y.S.; Park, J.H.; Cha, H.J.; Kim, K.H. The Psychometric Validation of the EPDS-K Among Korean Women: Does It Only Measure Depressive Symptoms? Perspect. Psychiatr. Care 2018, 54, 115–125. [Google Scholar] [CrossRef] [PubMed]
  33. Yu, J.P. Concept and Understanding of the Equations Model; Han Na-rae: Seoul, Korea, 2012. [Google Scholar]
  34. Costa, E.C.; Castanheira, E.; Moreira, L.; Correia, P.; Ribeiro, D.; Graça Pereira, M. Predictors of emotional distress in pregnant women: The mediating role of relationship intimacy. J. Ment. Health 2020, 29, 152–160. [Google Scholar] [CrossRef] [PubMed]
  35. Lee, G.; Choi, H. Factors influencing happiness among pregnant women in the ecological systems theory. J. Korean Acad. Community Health Nurs. 2019, 30, 11–24. [Google Scholar] [CrossRef]
  36. Røsand, G.M.B.; Slinning, K.; Eberhard-Gran, M.; Røysamb, E.; Tambs, K. Partner relationship satisfaction and maternal emotional distress in early pregnancy. BMC Public Health 2011, 11, 161. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. Results of hypothesis model verification. X1 = Spouse-related stress in pregnant women; X2 = Respect; X3 = Spending free time together; X4 = Caring for spouse; X5 = Expression of affection; X6 = Depression; X7 = Anxiety; X8= Suicidal thoughts; Y1 = Spouse-related stress in husbands; Y2 = Respect; Y3 = Spending free time together; Y4 = Caring for spouse; Y5 = Expression of affection; Y6 = Depression; Y7 = Anxiety; Y8 = Suicidal thoughts. * p < 0.05.
Figure 1. Results of hypothesis model verification. X1 = Spouse-related stress in pregnant women; X2 = Respect; X3 = Spending free time together; X4 = Caring for spouse; X5 = Expression of affection; X6 = Depression; X7 = Anxiety; X8= Suicidal thoughts; Y1 = Spouse-related stress in husbands; Y2 = Respect; Y3 = Spending free time together; Y4 = Caring for spouse; Y5 = Expression of affection; Y6 = Depression; Y7 = Anxiety; Y8 = Suicidal thoughts. * p < 0.05.
Ijerph 18 00487 g001
Table 1. General characteristics of the participants.
Table 1. General characteristics of the participants.
VariablesCategoriesN (%)
Pregnant Wives (120)Husbands (120)
Age (years) 32.54 (3.83)34.73 (3.90)
EducationHigh school13(10.8)14(11.7)
College 85(70.8)79(65.8)
Graduate22(18.3)27(22.5)
ReligionYes56(46.7)49(40.8)
No64(53.3)71(59.2)
Depressed11(9.2)8(6.7)
DepressionSometimes depressed40(33.3)27(22.5)
Not depressed69(57.5)85(70.8)
Marital satisfactionSatisfied111(92.5)117(97.5)
Dissatisfied9(7.5)3(2.5)
Table 2. Descriptive statistics of variables.
Table 2. Descriptive statistics of variables.
VariablesRangePregnant Wives (n = 120)Husbands (n = 120)
M ± SDSkewnessKurtosisM ± SDSkewnessKurtosis
Spouse-related stress0–51.97 ± 0.700.56−0.071.74 ± 0.720.950.88
Marital intimacy0–43.07 ± 0.60−0.47−0.013.10 ± 0.54−0.651.25
Respect3.02 ± 0.66−0.40−0.142.91 ± 0.65−0.27−0.08
Spending free time together3.27 ± 0.63−0.941.613.26 ± 0.60−0.961.70
Caring for spouse3.16 ± 0.72−0.830.273.19 ± 0.60−0.570.76
Expression of affection2.92 ± 0.74−0.32−0.382.96 ± 0.76−0.540.07
Depression0–30.80 ± 0.521.081.580.55 ± 0.400.760.08
Depression0.55 ± 0.631.351.930.25 ± 0.421.933.46
Anxiety0.65 ± 0.521.191.210.56 ± 0.490.880.62
Suicidal thoughts 1.21 ± 0.670.29−0.520.86 ± 0.650.40−0.68
Note. M = mean; SD = standard deviation.
Table 3. Number of correlations and validity of variables (N = 240).
Table 3. Number of correlations and validity of variables (N = 240).
VariablesSpouse-Related Stress in Pregnant WomenMarital Intimacy in Pregnant WomenPrenatal Depression in Pregnant WomenSpouse-Related Stress in HusbandsMartial Intimacy in HusbandsPrenatal Depression in Husbands
Spouse-related stress in pregnant women1
Marital intimacy in pregnant women−0.081
Prenatal depression in pregnant women0.30 **−0.22 *1
Spouse-related stress in husbands0.14−0.100.021
Martial intimacy in husbands0.010.58 **−0.02−0.121
Prenatal depression in husbands−0.02−0.23 *0.19 *0.20 *−0.29 **1
CR0.820.940.910.780.940.90
AVE0.610.890.770.500.790.74
Note. AVE = average variance extracted; CR = construct reliability. * p < 0.05, ** p < 0.01.
Table 4. Measurement invariance test.
Table 4. Measurement invariance test.
IndexBase (A)Constrained (B)
x 2 166.26172.35
df111 (p = 0.001)117 (p = 0.001)
x 2 /df1.501.47
SRMR0.070.07
CFI0.940.94
TLI0.920.92
RMSEA0.070.06
x 2 /p6.08/0.414
Note. SRMR = standardized root mean square residual; CFI = comparative fit index; TLI = Tucker–Lewis index; RMSEA = root mean square error of approximation.
Table 5. Model verification.
Table 5. Model verification.
Endogenous
Variable
Exogenous
Variable
SECR (p)SMCDirect
Effect
Indirect EffectTotal
Effect
Martial intimacy
in pregnant
women
Spouse-related stress
in pregnant women
0.09−0.60 (0.548)0.082−0.06 (0.608)−0.06 (0.608)
Spouse-related stress
in husbands
0.13−2.53 (0.011)−0.28 (0.031)−0.28 (0.031)
Marital intimacy
in husbands
Spouse-related stress
in pregnant women
0.070.03 (0.975)0.1010.00 (0.990)0.00 (0.990)
Spouse-related stress
in husbands
0.12−2.79 (0.005)−0.32 (0.010)−0.32 (0.010)
Prenatal depression
in pregnant
women
Spouse-related stress
in pregnant women
0.083.24 (0.001)0.2380.36 (0.010)0.02 (0.591)0.29 (0.010)
Spouse-related stress
in husbands
0.120.32 (0.749)0.04 (0.858)0.02 (0.549)0.06 (0.705)
Marital intimacy
in pregnant women
0.12−2.71 (0.007)−0.38 (0.030)−0.38 (0.030)
Marital intimacy
in husbands
0.141.83 (0.067)0.26 (0.112)0.26 (0.112)
Prenatal depression
in husbands
Spouse-related stress
in pregnant women
0.050.80 (0.427)0.2630.09 (0.378)0.00 (0.903)0.04 (0.384)
Spouse-related stress
in husbands
0.093.06 (0.002)0.44 (0.020)0.03 (0.410)0.30 (0.010)
Marital intimacy
in pregnant women
0.08−0.41 (0.681)−0.06 (0.679)−0.06 (0.679)
Marital intimacy
in husbands
0.09−0.65 (0.517)−0.10 (0.712) −0.10 (0.712)
Note. SE = standardized error; CR = critical ratio; SMC = squared multiple correlations.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Lee, M.; Kim, Y.-S.; Lee, M.-K. The Mediating Effect of Marital Intimacy on the Relationship between Spouse-Related Stress and Prenatal Depression in Pregnant Couples: An Actor–Partner Interdependent Model Test. Int. J. Environ. Res. Public Health 2021, 18, 487. https://doi.org/10.3390/ijerph18020487

AMA Style

Lee M, Kim Y-S, Lee M-K. The Mediating Effect of Marital Intimacy on the Relationship between Spouse-Related Stress and Prenatal Depression in Pregnant Couples: An Actor–Partner Interdependent Model Test. International Journal of Environmental Research and Public Health. 2021; 18(2):487. https://doi.org/10.3390/ijerph18020487

Chicago/Turabian Style

Lee, Miyoung, Yeon-Suk Kim, and Mi-Kyoung Lee. 2021. "The Mediating Effect of Marital Intimacy on the Relationship between Spouse-Related Stress and Prenatal Depression in Pregnant Couples: An Actor–Partner Interdependent Model Test" International Journal of Environmental Research and Public Health 18, no. 2: 487. https://doi.org/10.3390/ijerph18020487

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