Hostname: page-component-78c5997874-4rdpn Total loading time: 0 Render date: 2024-11-10T05:04:30.380Z Has data issue: false hasContentIssue false

The impacts of maternal childhood adversity, stress, and mental health on child development at 6 months in Taiwan: A follow-up study

Published online by Cambridge University Press:  20 July 2020

Yi-Ting Chang
Affiliation:
Department of Nursing, College of Medicine, National Cheng Kung University, Taiwan
Jui-Ying Feng
Affiliation:
Department of Nursing, College of Medicine, National Cheng Kung University, Taiwan
Hsin-Yi Chang
Affiliation:
Department of Nursing, College of Medicine, National Cheng Kung University, Taiwan
Yu-Chun Chang
Affiliation:
Department of Nursing, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Taiwan
Chia-Kuei Lee*
Affiliation:
Department of Nursing, College of Medicine, National Cheng Kung University, Taiwan
*
Author for correspondence: Chia-Kuei Lee, Department of Nursing, College of Medicine, National Cheng Kung University, 1 University Road, Tainan70101, Taiwan; E-mail: chiakuei@mail.ncku.edu.tw.
Rights & Permissions [Opens in a new window]

Abstract

Exposure to adverse childhood experiences (ACEs) is not only associated with one's adverse health outcomes in adulthood but also increases the risk of child developmental problems in offspring. However, the mechanisms involved in the transmission of the effects of maternal ACEs to the offspring largely remain unexplored. This study sought to identify possible psychosocial pathways of intergenerational effects of maternal ACEs on child development at 6 months. Data from a longitudinal study on maternal childhood adversity and maternal psychosocial risk during pregnancy as well as maternal mental health problems and child development at 6 months postnatal were used. Structural equation modeling with bootstrapping was used to estimate the indirect effects of maternal ACEs on child development at 6 months. The model showed that maternal ACEs indirectly influenced offspring's development via maternal stressful events during pregnancy and pre- and postnatal mental health problems. This finding highlights the possible interventions at the prenatal and postnatal periods. Early identification of women who have ACEs or who are at psychosocial risk during pre- and postnatal periods is critical to provide interventions to buffer those negative effects on offspring's development. Future studies are needed to longitudinally assess the effects of maternal ACEs on child development over time.

Type
Regular Articles
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2020. Published by Cambridge University Press

Adverse childhood experiences (ACEs), such as child maltreatment and family dysfunction, are stressful or traumatic events, which increase the risk of health, social, and behavioral problems throughout a person's life span (Austin, Reference Austin2018; Centers for Disease Control and Prevention, 2016). Findings from a systematic review and meta-analysis study revealed that exposure to ACEs is associated with adult adverse outcomes, such as mental illness, substance use, sexual risk taking, obesity, physical inactivity, interpersonal and self-directed violence, and chronic diseases and conditions (Hughes et al., Reference Hughes, Bellis, Hardcastle, Sethi, Butchart, Mikton and Dunne2017). Moreover, in a review by Bowers and Yehuda (Reference Bowers and Yehuda2016), maternal ACEs increased the risk of the offspring manifesting negative physical, behavioral, and cognitive outcomes. The effect of maternal ACEs on the offspring's health outcomes could be due to intergenerational transmission via maternal pre- and postnatal physical and mental health (Kumar et al., Reference Kumar, Amugune, Madeghe, Wambua, Osok, Polkonikova-Wamoto and Huang2018; Letourneau et al., Reference Letourneau, Dewey, Kaplan, Ntanda, Novick and Thomas2019; Madigan, Wade, Plamondon, Maguire, & Jenkins, Reference Madigan, Wade, Plamondon, Maguire and Jenkins2017). However, most studies exploring the pathway linking maternal ACE and offspring's health outcomes were only focused on postpartum maternal health (Folger et al., Reference Folger, Eismann, Stephenson, Shapiro, Macaluso, Brownrigg and Gillespie2018; Rieder et al., Reference Rieder, Roth, Musyimi, Ndetei, Sassi, Mutiso and Gonzalez2019; Sun et al., Reference Sun, Patel, Rose-Jacobs, Frank, Black and Chilton2017) or investigated prenatal and postnatal maternal health separately (Letourneau et al., Reference Letourneau, Dewey, Kaplan, Ntanda, Novick and Thomas2019). Therefore, it is unclear whether the effects of maternal health persist from the prenatal to the postnatal period. Given the significant negative effects of maternal ACEs on offspring's health outcomes, identifying the mechanisms of intergenerational effects of ACEs on offspring's development is essential for a more comprehensive view of child health and development.

Researchers have shown both direct (Folger et al., Reference Folger, Eismann, Stephenson, Shapiro, Macaluso, Brownrigg and Gillespie2018; Sun et al., Reference Sun, Patel, Rose-Jacobs, Frank, Black and Chilton2017) and indirect effects of maternal ACEs on child development (Buss et al., Reference Buss, Entringer, Moog, Toepfer, Fair, Simhan and Wadhwa2017; Letourneau et al., Reference Letourneau, Dewey, Kaplan, Ntanda, Novick and Thomas2019; Thomas, Letourneau, Campbell, & Giesbrecht, Reference Thomas, Letourneau, Campbell and Giesbrecht2018). For the indirect effects, two mechanisms involved in transmitting the effects of maternal ACEs to the offspring have been proposed: biological (e.g., endocrine and immune systems, and hypothalamic–pituitary–adrenal [HPA] axis function) and psychosocial (e.g., depression, stress, affective symptoms, and social support) mechanisms. For example, one important biological mechanism underlying the relationship between maternal ACEs and offspring's health is the HPA axis function. Researchers have demonstrated that maternal HPA axis function during pregnancy mediated the effects of maternal ACEs on infant HPA axis reactivity (Beijers, Buitelaar, & de Weerth, Reference Beijers, Buitelaar and de Weerth2014; Thomas et al., Reference Thomas, Letourneau, Campbell and Giesbrecht2018). Activation of infants’ HPA axis affects their cognitive and social-emotional development and potentially changes their telomere length, which is associated with age-related disease and mortality (Laurent, Reference Laurent2017; Nelson, Allen, & Laurent, Reference Nelson, Allen and Laurent2018).

In contrast, other researchers suggested the psychosocial mechanism as underlying the transmission of the effects of maternal ACEs to the offspring (Collishaw, Dunn, O'Connor, Golding, & Avon Longitudinal Study of Parents and Children Study Team, Reference Collishaw, Dunn, O'Connor and Golding2007; Miranda, de la Osa, Granero, & Ezpeleta, Reference Miranda, de la Osa, Granero and Ezpeleta2013). Many studies have suggested that maternal pre- and postnatal psychosocial risk (e.g., stress during pregnancy, anxiety, and depression) are the potential psychosocial mechanisms underlying the impacts of ACEs on offspring's development (Racine, Madigan, Plamondon, Hetherington, et al., Reference Racine, Madigan, Plamondon, Hetherington, McDonald and Tough2018; Racine, Plamondon, Madigan, McDonald, & Tough, Reference Racine, Madigan, Plamondon, Hetherington, McDonald and Tough2018). Pregnant women with childhood adversity have a higher tendency to develop pre- and postnatal stress and mental health problems compared to women without a history of ACEs (Racine, Madigan, Plamondon, McDonald, et al., Reference Racine, Madigan, Plamondon, McDonald and Tough2018; Seng et al., Reference Seng, Sperlich, Low, Ronis, Muzik and Liberzon2013). Moreover, both single and combined effects of maternal ACEs, stress, and mental health problems jeopardize offspring socioemotional and cognitive development (Madigan et al., Reference Madigan, Oatley, Racine, Fearon, Schumacher, Akbari and Tarabulsy2018; Racine, Plamondon, Nadigan, McDonald, & Tough, Reference Racine, Plamondon, Madigan, McDonald and Tough2018; Tarabulsy et al., Reference Tarabulsy, Pearson, Vaillancourt-Morel, Bussieres, Madigan, Lemelin and Royer2014).

Although the association between maternal ACEs and child development was investigated, those studies were usually conducted among children aged older than 12 months or only focused on the temperament and socioemotional functioning of children aged 6 months (Enlow et al., Reference Enlow, Devick, Brunst, Lipton, Coull and Wright2017; McDonnell & Valentino, Reference McDonnell and Valentino2016). Considering that child development is a continuous process, early development is an important foundation of future learning and physical and mental health. The emerging abilities of self-sitting, object exploration, reaching behavior, and grasping action by 6 months are the first significant milestones of early child development, and are related to children's cognitive, motor, and social development (Daum, Prinz, & Aschersleben, Reference Daum, Prinz and Aschersleben2011; Hopkins & Rönnqvist, Reference Hopkins and Rönnqvist2002; Soska & Adolph, Reference Soska and Adolph2014). Researchers have found that infants at 6 months with motor delay had high risk of autism spectrum disorders (Libertus, Sheperd, Ross, & Landa, Reference Libertus, Sheperd, Ross and Landa2014) and potential for future social, language, and communication delays (Bhat, Galloway, & Landa, Reference Bhat, Galloway and Landa2012; Flanagan, Landa, Bhat, & Bauman, Reference Flanagan, Landa, Bhat and Bauman2012). Evaluating the child's developmental milestones at 6 months is particularly important to identify the potential developmental delays and minimize later developmental problems. Early identification and intervention can help improve health outcomes for children with developmental delay (Spittle & Treyvaud, Reference Spittle and Treyvaud2016).

There is a need to better understand the potential pathways linking maternal childhood adversity to child development through both prenatal and postnatal psychosocial risk. In addition, the effect of maternal ACEs and mental health problems on other aspects of child development at 6 months, such as children's gross motor, fine motor, language, and social development, needs to be explored. Thus, the present study aimed to identify possible psychosocial mechanisms of the transmission of maternal ACEs to infants at 6 months of age (see Figure 1 for the proposed model). We hypothesized that maternal ACEs had negative impacts on prenatal and postnatal psychosocial risk, and their offspring's development. More specifically, we determined whether the effects of maternal childhood adversity on their children's development (i.e., gross motor, fine motor, language, and social development) at 6 months were mediated through prenatal maternal stress and mental health problems (i.e., depression and anxiety) and postnatal mental health problems. These findings would provide a starting point for developing an intervention for pregnant women and their families to support and benefit traumatized mothers and their children.

Figure 1. Proposed model.

Although maternal stress during pregnancy and prenatal mental health may have a potential bidirectional relationship, we considered that maternal stress (stressful events during pregnancy) was more likely to affect prenatal mental health rather than vice versa in our study based on the literature. A systematic review conducted by Lancaster et al. (Reference Lancaster, Gold, Flynn, Yoo, Marcus and Davis2010) revealed that life stresses (or negative life events) may be potential predictors of an increased risk of depressive symptoms during pregnancy. Mitchell and Ronzio (Reference Mitchell and Ronzio2011) also showed that stressful events increased the risk for maternal depression and symptoms of anxiety in African American mothers. Similarly, Coussons-Read (Reference Coussons-Read2013) mentioned that exposure to stress (or negative life event) may be the etiology of depression. Therefore, the influence of prenatal stress on infant health and development may be due to the increased maternal risk of anxiety and depression during pregnancy.

Method

Study design

This study was part of a Longitudinal Study of Mother and Children's Health (LSMACH), which aimed to explore the effect of maternal childhood adversity on mothers’ and children's health outcomes in Taiwan. Pregnant women seeking prenatal care in their second or third trimester were recruited from the prenatal clinic in a medical center in Southern Taiwan, where 1,200–1,400 deliveries take place yearly. In the LSMACH, data were collected at four time points including baseline (between 13 and 37 weeks of gestation), and when infants were aged 1, 6, and 18 months. The pregnant women were enrolled between January 2016 and September 2016; follow-up continued until December 2018. A self-report questionnaire containing demographic information and questions regarding maternal childhood adversity and maternal psychosocial risk (stress, depression, and anxiety) was administered at baseline. At 1, 6, and 18 months postnatal follow-ups, questionnaires about maternal mental health problems (depression and anxiety) and child development were administered. An approval of all study activities was obtained from the university institutional review board (No. A-ER-104-253). In the present study, data on maternal childhood adversity and maternal psychosocial risk at baseline as well as maternal mental health problems and child development at 6 months postnatal were used.

Participants

In the LSMACH, the eligible participants were pregnant women in their second or third trimester, 18 years and above, and able to complete the Chinese questionnaire. A total of 295 pregnant women were recruited from the prenatal clinic in a medical center in Southern Taiwan. Of these, 210 women had completed at least one valid postnatal follow-up (postnatal 1 month: n = 142, 6 months: n = 130, and 18 months: n = 127; see Appendix A in the online-only Supplementary materials for the flow chart of participants). Participants included in the present study were 130 mother–child dyads who completed the questionnaires at both baseline and 6 months postnatal. The retention rate at the 6-month follow-up assessment was 44%. Reasons for loss to follow-up included abortion and child death (n = 7, 4.2%), withdrawal (n = 10, 6.1%), and participants being unreachable because their phone was off (n = 59, 35.8%) or out of service (n = 11, 6.7%). Nearly half of the participants (n = 78, 47.3%) who were contacted agreed to participate in the 6-month follow-up assessment but did not return the questionnaires. There were no demographic differences (i.e., educational level, marital status, employment status, household monthly income, history of pregnancy, pregnancy intention, or complications during pregnancy) between those women who were lost to follow-up and those in this analysis. However, the women who were lost to follow-up (32.8 ± 4.0 years) were slightly younger than those in this analysis (33.7 ± 4.2 years), t (293) = 2.05, p = .041.

Measurement

Maternal childhood adversity

The 14-item revised ACE scale (Finkelhor, Shattuck, Turner, & Hamby, Reference Finkelhor, Shattuck, Turner and Hamby2015) was used to measure pregnant women's experiences of psychological abuse, physical abuse, sexual assault, emotional neglect, physical neglect, witnessing mother being treated violently, household substance abuse, household mental illness, parental separation or divorce, having an incarcerated household member, being in a family of low socioeconomic status, peer victimization, peer isolation/rejection, and exposure to community violence before age 18. Each item was responded to dichotomously, Yes (experienced the event) and No (did not experience the event). The number of “Yes” answers was summed to obtain a total score. A higher total score indicates women had a greater number of ACEs. The Kuder–Richardson 20 coefficient was .76 in the present sample.

Stressful events during pregnancy

Ten items were adopted from the Social Readjustment Rating Scale (SRRS; Holmes & Rahe, Reference Holmes and Rahe1967) and the Taiwan Intimate Partner Violence Danger Assessment (Wang, Reference Wang2012) to measure the stressful life or traumatic events during pregnancy. Items selected from the SRRS were related to major stressful life events, including marital divorce or separation; death of partner, family members, or friends; arguing with partner or partner's family members; sickness or serious illness in the family; and losing or changing a job. Those items indicate relatively high-stress events on the SRRS and are related to the context of pregnancy. Items selected from the Taiwan Intimate Partner Violence Danger Assessment form were related to physical, psychological, and sexual abuse by partner, including violence against children by partner, actual or threatened death or serious injury by partner, and forced sexual activity by partner. Each item was coded as 1 if the woman had experienced the event and as 0 if she had never experienced the event. Higher total scores indicate more stressful events during pregnancy.

Depression

The 10-item Chinese version of the Edinburgh Postnatal Depression Scale (EPDS) was used to measure women's prenatal and postnatal depressive symptoms. The EPDS has been widely used and validated in women's postpartum as well as prenatal and perinatal periods. Participants were asked to check off one of four possible answers that best described their mood during the past week. Responses are scored 0, 1, 2, or 3 according to increased severity of the symptom. For example, the scores for “I felt sad or miserable” were 3 = most of the time, 2 = quite often, 1 = not very often, and 0 = not at all. The total score ranges from 0 to 30, with a higher score indicating possible depression. Cronbach's α was .87 for the Chinese version of the EPDS, and concurrent validity was .79 with the Beck Depression Inventory (Heh, Reference Heh2001). Cronbach's α was .81 in this study.

Anxiety

The Chinese version of the Generalized Anxiety Disorder 7-item Scale was used to measure how frequently women felt anxious over the past 2 weeks. Responses were scored ranging from 0 = not at all, 1 = a few days, 2 = more than a week, to 3 = nearly every day. The total score ranges from 0 to 21, with a higher score indicating more severe generalized anxiety disorder symptoms. Cronbach's α was .89 for the Chinese version of the Generalized Anxiety Disorder 7-item Scale (Tong, An, McGonigal, Park, & Zhou, Reference Tong, An, McGonigal, Park and Zhou2016). Cronbach's α was .89 in this study.

Child development

The parent-report Taiwan Birth Cohort Study–Developmental Instrument (TBCS-DI) includes four dimensions of development: gross motor, fine motor, language, and social development at 6, 18, 36, and 60 months. We used the 6-month scale (26 items) in this study. A 3-point Likert scale (always, sometimes, and never) was used, with higher scores implying better development. The potential scores were 9–27, 7–21, 7–21, and 3–9 for gross motor, fine motor, language, and social development, respectively. TBCS-DI is an efficient developmental screening instrument. Good reliability of the TBCS-DI and its good concurrent validity with the Bayley Scale of Infant Development–II has been demonstrated in the literature (Lung, Chiang, Lin, Lee, & Shu, Reference Lung, Chiang, Lin, Lee and Shu2010; Lung, Shu, Chiang, & Lin, Reference Lung, Shu, Chiang and Lin2008). In this study, Cronbach's α for the four subscales were .75, .60, .74, and .60 for gross motor, fine motor, language, and social development, respectively.

Demographics of mothers and offspring

Demographic characteristics of mothers included maternal age (in years), educational level (below high school, high school, or college and above), marital status (married/not married), employment status (yes/no), household monthly income (NTD <28,000 [low], 28,000─70,000 [medium], and ≥70,000 [high]), history of pregnancy, pregnancy intention (planned pregnancy/unplanned pregnancy), and complications during pregnancy (had prenatal complications/none). Demographic characteristics of offspring were gender (male/female), gestational age (in weeks), and body weight at birth (in grams).

Data analysis

Descriptive statistics were used to describe demographics, maternal childhood adversity, stressful events during pregnancy, pre- and postnatal depression and anxiety, and child development at 6 months. The total scores for each variable were calculated by multiplying the total number of items and the mean scores of valid items. Pearson's correlation and point-biserial correlation coefficients were used to examine the associations among demographics, maternal childhood adversity, stressful events during pregnancy, pre- and postnatal depression and anxiety, and child development at 6 months. Structural equation modeling was performed using Mplus 8.0 (Muthén and Muthén, Los Angeles, CA, USA) to examine the direct and indirect effects of maternal childhood adversity on child development at 6 months. Maternal pre- and postnatal depression and anxiety were used as indicators for the latent constructs of pre- and postnatal maternal mental health separately. Four dimensions of child development (i.e., gross motor, fine motor, language, and social development) were used as indicators for the latent construct of child development (Lung et al., Reference Lung, Shu, Chiang and Lin2008). The measurement model was tested by a confirmatory factor analysis to verify whether the indicators loaded significantly (p < .001) onto the expected latent constructs. Maternal parity, premature birth, and offspring's sex were used as covariates for prenatal maternal mental health, postnatal maternal mental health, and child development, respectively.

The model parameters were estimated using the maximum likelihood estimate. Model fit was assessed using chi-square ratio (χ2/df), the root mean square error of approximation (RMSEA), the standardized root mean square residual (SRMR), and the comparative fit index (CFI). Values of .08 or lower for the RMSEA (Fabrigar, MacCallum, Wegener, & Strahan, Reference Fabrigar, MacCallum, Wegener and Strahan1999) and SRMR (Hu & Bentler, Reference Hu and Bentler1999), of .95 or above for the CFI (Hu & Bentler, Reference Hu and Bentler1999), and between 1 and 3 for the χ2/df (Hair, Anderson, Tatham, & Black, Reference Hair, Anderson, Tatham and Black1998) suggest good model fit. Missing data were handled with full information maximum likelihood. In addition, the indirect effects of maternal childhood adversity on child development through maternal prenatal stress and mental health were estimated using bias-corrected bootstrapping with 2,000 bootstrap samples. The significant indirect effects were considered when the 95% bias-corrected confidence interval (CI) did not include 0.

Results

Demographics

The data of 130 mother–child dyads were analyzed in this study. Table 1 shows the demographics of mothers and offspring. The mean age of women was 33.7 years (SD = 4.2). Most women were married (96.9%) and employed (77.5%), and had a college degree or higher level of education (95.3%). Most women had a high monthly household income of more than NTD 70,000 (47.3%), which indicated that household income was more than expenditure and that they were considered high-income earners. Most pregnancies were planned (68.5%) and without prenatal complication (90%). Moreover, the number of children for both sexes is equal. Fourteen children (10.8%) were born preterm and 17 (13.1%) were of low birth weight, with 8 being both premature and low birth weight infants.

Table 1. Demographic information (n = 130)

Maternal ACEs, maternal mental health, and offspring's outcomes

More than a quarted of mothers had ACEs and over a third experienced stressful events during pregnancy (Table 2). The most common stressful event during pregnancy was conflicts with family members (n = 22, 16.9%), which usually happened with one's partner (n = 10) or partner's family members (n = 8).

Table 2. Maternal adversity childhood experiences and prenatal stress (n = 130)

Table 3 indicates the relationships among demographics of mothers and offspring, maternal ACEs, stressful events during pregnancy, depression and anxiety, and their offspring's development. Primigravidas had lower prenatal depression than multiparas (r = –.19, p = .028). Mothers who delivered prematurely had high postnatal depression (r = .21, p = .016) and prenatal anxiety (r = .24, p = .007). Maternal ACEs were positively correlated with stressful events during pregnancy (r = .27, p = .002) and prenatal depression (r = .25, p = .004). The correlations of maternal ACEs with prenatal anxiety, postnatal depression and anxiety, and child development were insignificant. In addition, stressful events during pregnancy positively correlated with pre- and postnatal depression and anxiety (r = .24 ~ .35, p ≤ .001 ~ p = .005) and negatively correlated with offspring's fine motor, language, and social development (r = –.21 ~ –.17, p = .016 ~ .043). Pre- and postnatal maternal depression and anxiety were negatively correlated with offspring's gross motor, fine motor, and language development (r = –.40 ~ –.23, p < .001 ~ p =.006). However, postnatal depression and pre- and postnatal anxiety (r = –.27 ~ –.19, p = .002 ~ .025) were negatively correlated with offspring's social development, but prenatal depression was not (p = .106).

Table 3. Correlations among maternal ACEs, maternal mental health, and child development (n = 130)

Note: ACEs, adverse childhood experiences. *p < .05. **p < .01.

The effect of maternal ACEs on their offspring's development

The result of structural equation modeling with standardized coefficients is presented in Figure 2. The model explained 29.4% of the variance and showed acceptable fit based on multiple fit statistics: χ2/df = 1.53, CFI = .955, RMSEA = .064, and SRMR = .057. Maternal ACEs were associated with maternal stressful events during pregnancy (β = .27, SE = .08, p = .001) and prenatal mental health (β = .18, SE = .09, p = .045). Maternal stressful events during pregnancy was associated with prenatal mental health (β = .24, SE = .09, p = .045) and postnatal mental health (β = .22, SE = .08, p = .004). Maternal prenatal mental health was associated with postnatal mental health (β = .62, SE = .09, p < .001), which was associated with child development at 6 months (β = –.50, SE = .13, p < .001). In terms of indirect effects, results indicated three significant pathways linking maternal ACEs to child development at 6 months: (a) through maternal stressful events during pregnancy and maternal postnatal mental health (β = –.03, SE = .02, 95% CI [–.116 ~ –.004]); (b) through maternal pre- and postnatal mental health (β = –.05, SE = .04, 95% CI [–.209 ~ –.011]; and (c) through maternal stressful events during pregnancy, and maternal pre- and postnatal mental health (β = –.02, SE = .02, 95% CI [–.114 ~ –.002]).

Figure 2. Pathways of maternal adverse childhood experiences (ACEs) on child development at 6 months through maternal psychosocial risk (stress, depression, and anxiety). Standardized coefficients were presented. Solid lines indicate significant paths; dashed lines indicate nonsignificant paths. *p < .05. **p < .01.

Discussion

We investigated possible psychosocial pathways in explaining the transmission of maternal experiences of childhood adversity to offspring, and its negative effect on offspring's development at 6 months. The findings of structural equation modeling in this study partly supported our hypothesis that maternal ACEs were directly associated with higher levels of stress during pregnancy and prenatal mental health (i.e., depression and anxiety) and indirectly associated with higher levels of postnatal mental health and child development at 6 months. Mothers who experienced more adversities in childhood had higher psychosocial risk (i.e., stress, depression, and anxiety) during both pregnancy and the postnatal period, which, in turn, led to their offspring's poor developmental outcomes at 6 months of age. The results supported the psychosocial pathway (pre- and postnatal maternal mental health), explaining the association between maternal ACEs and developmental risk in the next generation.

Maternal ACEs and prenatal psychosocial risk had indirect effects on child development via postnatal mental health. This finding is consistent with previous literature indicating that adverse events in life, high perceived stress, and mental health problems during pregnancy were high-risk factors for postpartum mental health problems and adverse offspring development (O'Connor, Monk, & Fitelson, Reference O'Connor, Monk and Fitelson2014; Seng et al., Reference Seng, Sperlich, Low, Ronis, Muzik and Liberzon2013). Researchers have shown that women with postnatal depression were less likely to engage in parenting or caregiving practices, which increases the risk of developmental delays (such as in gross motor functioning and problem solving) in children aged 6–18 months (Vameghi, Amir Ali Akbari, Sajjadi, Sajedi, & Alavimajd, Reference Vameghi, Amir Ali Akbari, Sajjadi, Sajedi and Alavimajd2015). Therefore, maternal prenatal stress and mental health play a critical role in child development. The continuity or escalation of maternal mental health problems from the prenatal to the postnatal period would contribute to adverse child development.

Although the independent effects of maternal ACEs and mental health on offspring's development were found in previous studies, how maternal ACEs function with prenatal and postnatal mental health in influencing offspring's development still remains to be defined (Folger et al., Reference Folger, Eismann, Stephenson, Shapiro, Macaluso, Brownrigg and Gillespie2018; Racine, Plamondon, et al., Reference Racine, Plamondon, Madigan, McDonald and Tough2018). Racine, Plamondon, et al. (Reference Racine, Plamondon, Madigan, McDonald and Tough2018) conducted a cohort study with 1,994 mother–infant dyads and found an indirect effect of maternal ACEs on offspring's development at 1 year of age via prenatal psychosocial risk, but not postnatal psychosocial risk at 4 months postpartum. In another cohort study conducted by Folger et al. (Reference Folger, Eismann, Stephenson, Shapiro, Macaluso, Brownrigg and Gillespie2018), among 311 mother–child and 122 father–child dyads, only maternal mental health at the postnatal period was measured. Their findings revealed that maternal ACEs had direct effects on maternal postnatal depressive symptoms at 2 months postpartum and offspring's development at 2 years of age. However, maternal postnatal depressive symptoms did not mediate the effects of maternal ACEs on offspring's development. In the present study, the pathway from maternal ACEs to offspring's development was via prenatal stress and mental health problems first, and then via postnatal mental health problems. Therefore, further studies that estimate maternal mental health at both the pre- and postnatal periods are needed to clarify these pathways via maternal mental health in transmitting maternal ACEs to infants.

While the findings did support the indirect effects of ACEs on child development at 6 months, the effect size was small (R 2 = .29). This might be due to the limited measure of child development in the LSMACH study. Although the measure of child development targeted the significant developmental milestones, this measure only covered the developmental aspects of gross motor, fine motor, language, and social development. Nonetheless, the impacts of maternal ACEs and prenatal mental health problems on the offspring's cognitive and socioemotional development are of the most concern, especially if through the psychosocial mechanism (Kingston, McDonald, Austin, & Tough, Reference Kingston, McDonald, Austin and Tough2015; Treat, Sheffield-Morris, Williamson, & Hays-Grudo, Reference Treat, Sheffield-Morris, Williamson and Hays-Grudo2019). Moreover, some unmeasured factors in this study, including parenting roles, parenting behaviors, and parent–child interactions, may also be important influence factors of child development (Chiang, Lin, Lee, & Lee, Reference Chiang, Lin, Lee and Lee2015; Glascoe & Leew, Reference Glascoe and Leew2010). Future studies are needed to incorporate these aspects of child development and include other potential influence factors to have a more integrated understanding of the impacts of maternal ACEs on child development.

Our findings also showed that maternal prenatal stress was strongly associated with prenatal depression and anxiety. The most common stressful life or traumatic event during pregnancy that women experienced was conflict with partner or partner's family members. Researchers have found that dissatisfaction with the partner, partner conflict, low partner support, and low social support increased maternal emotional distress (Cheng et al., Reference Cheng, Rifas-Shiman, Perkins, Rich-Edwards, Gillman, Wright and Taveras2016; Røsand, Slinning, Eberhard-Gran, Røysamb, & Tambs, Reference Røsand, Slinning, Eberhard-Gran, Røysamb and Tambs2011; Tyrlik, Konecny, & Kukla, Reference Tyrlik, Konecny and Kukla2013). In Chinese culture, in-law family conflict also plays an influential role in intimate partner violence against women (Choi, Chan, & Brownridge, Reference Choi, Chan and Brownridge2010). Intimate partner violence during pregnancy affected woman's physical and mental health and increased the risk of low birth weight infants and neonatal death (Chen & Lin, Reference Chen and Lin2015). Furthermore, researchers have shown that resilience is a protective factor for pregnant women to overcome adversities and cope with stress, depression, and anxiety during pregnancy (Lévesque & Chamberland, Reference Lévesque and Chamberland2016; Ma et al., Reference Ma, Wang, Hu, Tao, Zhang and Shi2019). Taken together, interventions that target family and social support and/or enhance pregnant women's resilience may be promising strategies to mitigate maternal psychosocial risk (stress, depression, and anxiety) and improve women's pregnancy outcomes.

In addition, the findings indicate that maternal mental health mediated the effects of maternal ACEs and prenatal stress on child development. Researchers have found that women with ACEs had higher perinatal depressive symptoms than those without ACEs (Mersky & Janczewski, Reference Mersky and Janczewski2018). Women with a history of childhood adversity were more likely to report depressive symptoms during both the antenatal and postnatal periods (Ångerud, Annerback, Tyden, Boddeti, & Kristiansson, Reference Ångerud, Annerback, Tyden, Boddeti and Kristiansson2018; Mersky & Janczewski, Reference Mersky and Janczewski2018). Therefore, the identification of pregnant women with anxiety and depression will be essential to the provision of timely support for those women and their family members. Moreover, addressing the issues regarding the factors associated with perinatal mental health problems during the antenatal and postnatal periods (e.g., prenatal clinic, well-baby clinic, and antenatal classes) will be important in promoting the well-being of mothers and their babies. Educating pregnant women about their maternal role, expected changes in their physical appearance, effects of the changes in hormone levels, the potential influence of past and present pregnancy complications to their current pregnancy, the importance of partner support and social support, as well as asking them about their attitudes and beliefs toward motherhood, is vital in the reduction and prevention of perinatal mental health problems (Biaggi, Conroy, Pawlby, & Pariante, Reference Biaggi, Conroy, Pawlby and Pariante2016). Furthermore, a family-centered approach to engage fathers or partners and other family members in taking care of the mothers and their babies would be beneficial in enhancing family relationships by mobilizing support and resources from the partner and the entire family as a whole (Rahman et al., Reference Rahman, Fisher, Bower, Luchters, Tran, Yasamy and Waheed2013; Samal, Reference Samal2016). This, in turn, may actually improve the outcome of the children. Bergman, Sarkar, Glover, and O'Connor (Reference Bergman, Sarkar, Glover and O'Connor2010) have also found that if infants experience postnatal environments enriched with sensitive and response caregiving behavior as well as secure attachment, the negative influence of maternal prenatal stress on child outcomes may be buffered.

In addition, the key role of healthcare providers in promoting maternal mental health and the child's well-being should be highlighted. Aside from identifying high-risk pregnant women, preventing perinatal mental health problems is also important. Researchers have found that the use of active psychotherapeutic techniques or psychoeducational approaches in conjunction with conventional prenatal care may help pregnant women recognize and manage depression symptoms, enhance problem-solving skills, adapt positive ways of thinking, promote social support and a healthy lifestyle, and implement useful behavior strategies—all of which may be effective in reducing perceived stress and anxiety, which, in effect, may improve maternal mental health (Atif, Lovell, & Rahman, Reference Atif, Lovell and Rahman2015; Barlow et al., Reference Barlow, McMillan, Kirkpatrick, Ghate, Barnes and Smith2010; Beddoe & Lee, Reference Beddoe and Lee2008). Thus, professional trainings need to continuously improve healthcare providers’ knowledge and abilities in recognizing high-risk pregnant women because the early intervention for perinatal mental health problems is a main priority (Legere et al., Reference Legere, Wallace, Bowen, McQueen, Montgomery and Evans2017).

A few limitations should be noted in this study. The self-reported data of mothers may be biased by social desirability. The childhood adversity experiences and stressful events during pregnancy may be underreported. Moreover, the use of questionnaires to measure child development based on mothers’ report would bias the data. However, the child developmental instrument used in this study is a culturally sensitive one and includes comprehensible items for Taiwanese parents. Furthermore, the small sample size in this study lacks sufficient statistical power to detect the significance of effect sizes. Future studies with a large sample size and objective measures of child development are needed to clarify these findings. In addition, because only two time points were examined, the causal direction of the effects cannot be fully established. Because the majority of the women in this study were from one medical center, well educated, and had high household family incomes, the generalizability of these findings is limited. While the lower response rate (<50%) at the 6-month follow-up may potentially raise the selection bias, it is less likely to be the case in this study. This is because our examination has shown, excepting women who were lost to follow-up were slightly younger, no other difference in baseline data and demographics between women who were lost to follow-up and those who were analyzed in this study.

In sum, the findings of this study offer preliminary support for the mechanism involved in the transmission of maternal ACEs to the offspring through maternal psychosocial risk. These findings have some practical and research implications. Primary care providers in prenatal care clinics and well-child visits are in the best position to assess maternal childhood adversity and mental health problems. Early identification of women who had childhood adversities and/or mental health problems during prenatal and postnatal visits can ensure that emotional support and relevant interventions are provided to promote their quality of childcare. Future research with large and diverse populations from different levels of socioeconomic status to clarify the effects of maternal ACEs on child development is needed. In addition, a longitudinal study with a long follow-up period would be helpful to explore the long-term impacts on child health and developmental outcomes over time.

Conclusions

Maternal psychosocial risk during pregnancy and the postnatal period serves as a mechanism in transmitting the effects of maternal ACEs on offspring at 6 months. The findings of this study highlight the importance of interventions at different stages of this psychosocial pathway. Early identification of women with ACEs and assessment of pre- and postnatal maternal mental health problems are critical strategies to identify the children at risk. This would also provide the opportunity to initiate early interventions to promote maternal mental health and prevent/mitigate the adverse child developmental outcomes.

Supplementary material

Supplementary material available online at https://doi.org/10.1017/S0954579420000267

Acknowledgments

The authors would like to thank those women who participated in this study.

Financial support

This work was supported by the Taiwan Ministry of Science and Technology (MOST 104-2314-B-006-044). The Taiwan Ministry of Science and Technology had no role in the study design, collection, analysis, or interpretation of the data, writing the manuscript, or the decision to submit the paper for publication.

Footnotes

*

Yi-Ting Chang and Jui-Ying Feng contributed equally to this paper.

References

Ångerud, K., Annerback, E. M., Tyden, T., Boddeti, S., & Kristiansson, P. (2018). Adverse childhood experiences and depressive symptomatology among pregnant women. Acta Obstetricia et Gynecologica Scandinavica, 97, 701708. doi:10.1111/aogs.13327CrossRefGoogle ScholarPubMed
Atif, N., Lovell, K., & Rahman, A. (2015). Maternal mental health: The missing “m” in the global maternal and child health agenda. Seminars in Perinatology, 39, 345352. doi:10.1053/j.semperi.2015.06.007CrossRefGoogle ScholarPubMed
Austin, A. (2018). Association of adverse childhood experiences with life course health and development. North Carolina Medical Journal, 79, 99103. doi:10.18043/ncm.79.2.99CrossRefGoogle ScholarPubMed
Barlow, J., McMillan, A. S., Kirkpatrick, S., Ghate, D., Barnes, J., & Smith, M. (2010). Health-led interventions in the early years to enhance infant and maternal mental health: A review of reviews. Child and Adolescent Mental Health, 15, 178185. doi:10.1111/j.1475-3588.2010.00570.xCrossRefGoogle ScholarPubMed
Beddoe, A. E., & Lee, K. A. (2008). Mind-body interventions during pregnancy. Journal of Obstetric, Gynecologic & Neonatal Nursing, 37, 165175. doi:10.1111/j.1552-6909.2008.00218.xCrossRefGoogle ScholarPubMed
Beijers, R., Buitelaar, J. K., & de Weerth, C. (2014). Mechanisms underlying the effects of prenatal psychosocial stress on child outcomes: Beyond the HPA axis. European Child & Adolescent Psychiatry, 23, 943��956. doi:10.1007/s00787-014-0566-3CrossRefGoogle ScholarPubMed
Bergman, K., Sarkar, P., Glover, V., & O'Connor, T. G. (2010). Maternal prenatal cortisol and infant cognitive development: Moderation by infant-mother attachment. Biological Psychiatry, 67, 10261032. doi:10.1016/j.biopsych.2010.01.002CrossRefGoogle ScholarPubMed
Bhat, A. N., Galloway, J. C., & Landa, R. J. (2012). Relation between early motor delay and later communication delay in infants at risk for autism. Infant Behavior and Development, 35, 838846. doi:10.1016/j.infbeh.2012.07.019CrossRefGoogle ScholarPubMed
Biaggi, A., Conroy, S., Pawlby, S., & Pariante, C. M. (2016). Identifying the women at risk of antenatal anxiety and depression: A systematic review. Journal of Affective Disorders, 191, 6277. doi:10.1016/j.jad.2015.11.014CrossRefGoogle ScholarPubMed
Bowers, M. E., & Yehuda, R. (2016). Intergenerational transmission of stress in humans. Neuropsychopharmacology, 41, 232244. doi:10.1038/npp.2015.247CrossRefGoogle ScholarPubMed
Buss, C., Entringer, S., Moog, N. K., Toepfer, P., Fair, D. A., Simhan, H. N., . . . Wadhwa, P. D. (2017). Intergenerational transmission of maternal childhood maltreatment exposure: Implications for fetal brain development. Journal of the American Academy of Child & Adolescent Psychiatry, 56, 373382. doi:10.1016/j.jaac.2017.03.001CrossRefGoogle ScholarPubMed
Centers for Disease Control and Prevention. (2016). About the CDC-Kaiser ACE Study. Retrieved from https://www.cdc.gov/violenceprevention/acestudy/about.htmlGoogle Scholar
Chen, Y. C., & Lin, Y. C. (2015). Intimate partner violence during pregnancy. Taiwan Medical Journal, 58, 3638.Google Scholar
Cheng, E. R., Rifas-Shiman, S. L., Perkins, M. E., Rich-Edwards, J. W., Gillman, M. W., Wright, R., & Taveras, E. M. (2016). The influence of antenatal partner support on pregnancy outcomes. Journal of Women's Health, 25, 672679. doi:10.1089/jwh.2015.5462CrossRefGoogle ScholarPubMed
Chiang, Y. C., Lin, D. C., Lee, C. Y., & Lee, M. C. (2015). Effects of parenting role and parent–child interaction on infant motor development in Taiwan Birth Cohort Study. Early Human Development, 91, 259264. doi:10.1016/j.earlhumdev.2015.02.005CrossRefGoogle ScholarPubMed
Choi, W. M. A., Chan, K. L., & Brownridge, D. A. (2010). Unraveling in-law conflict and its association with intimate partner violence in Chinese culture: Narrative accounts of Chinese battered women. Women's Health and Urban Life, 9, 7292.Google Scholar
Collishaw, S., Dunn, J., O'Connor, T. G., Golding, J., & Avon Longitudinal Study of Parents and Children Study Team. (2007). Maternal childhood abuse and offspring adjustment over time. Development and Psychopathology, 19, 367383. doi:10.1017/S0954579407070186CrossRefGoogle ScholarPubMed
Coussons-Read, M. E. (2013). Effects of prenatal stress on pregnancy and human development: Mechanisms and pathways. Obstetric Medicine, 6, 5257. doi:10.1177/1753495X12473751CrossRefGoogle ScholarPubMed
Daum, M. M., Prinz, W., & Aschersleben, G. (2011). Perception and production of object-related grasping in 6-month-olds. Journal of Experimental Child Psychology, 108, 810818. doi:10.1016/j.jecp.2010.10.003CrossRefGoogle ScholarPubMed
Enlow, M. B., Devick, K. L., Brunst, K. J., Lipton, L. R., Coull, B. A., & Wright, R. J. (2017). Maternal lifetime trauma exposure, prenatal cortisol, and infant negative affectivity. Infancy, 22, 492513. doi:10.1111/infa.12176CrossRefGoogle ScholarPubMed
Fabrigar, L. R., MacCallum, R. C., Wegener, D. T., & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4, 272299. doi:10.1037/1082-989X.4.3.272CrossRefGoogle Scholar
Finkelhor, D., Shattuck, A., Turner, H., & Hamby, S. (2015). A revised inventory of Adverse Childhood Experiences. Child Abuse & Neglect, 48, 1321. doi:10.1016/j.chiabu.2015.07.011CrossRefGoogle ScholarPubMed
Flanagan, J. E., Landa, R., Bhat, A., & Bauman, M. (2012). Head lag in infants at risk for autism: A preliminary study. American Journal of Occupational Therapy, 66, 577585. doi:10.5014/ajot.2012.004192CrossRefGoogle ScholarPubMed
Folger, A. T., Eismann, E. A., Stephenson, N. B., Shapiro, R. A., Macaluso, M., Brownrigg, M. E., & Gillespie, R. J. (2018). Parental adverse childhood experiences and offspring development at 2 years of age. Pediatrics, 141. doi:10.1542/peds.2017-2826CrossRefGoogle ScholarPubMed
Glascoe, F. P., & Leew, S. (2010). Parenting behaviors, perceptions, and psychosocial risk: Impacts on young children's development. Pediatrics, 125, 313319. doi:10.1542/peds.2008-3129CrossRefGoogle ScholarPubMed
Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis. Upper Saddle River, NJ: Prentice Hall.Google Scholar
Heh, S. S. (2001). Validation of the Chinese version of the Edinburgh Postnatal Depression Scale: Detecting postnatal depression in Taiwanese women. Nursing Research, 9, 105113. doi:10.7081/NR.200104.0105Google ScholarPubMed
Holmes, T. H., & Rahe, R. H. (1967). The Social Readjustment Rating Scale. Journal of Psychosomatic Research, 11, 213218. doi:10.1016/0022-3999(67)90010-4CrossRefGoogle ScholarPubMed
Hopkins, B., & Rönnqvist, L. (2002). Facilitating postural control: Effects on the reaching behavior of 6-month-old infants. Developmental Psychobiology, 40, 168182. doi:10.1002/dev.10021CrossRefGoogle ScholarPubMed
Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 155. doi:10.1080/10705519909540118CrossRefGoogle Scholar
Hughes, K., Bellis, M. A., Hardcastle, K. A., Sethi, D., Butchart, A., Mikton, C., . . . Dunne, M. P. (2017). The effect of multiple adverse childhood experiences on health: A systematic review and meta-analysis. Lancet Public Health, 2, e356e366. doi:10.1016/s2468-2667(17)30118-4CrossRefGoogle ScholarPubMed
Kingston, D., McDonald, S., Austin, M.-P., & Tough, S. (2015). Association between prenatal and postnatal psychological distress and toddler cognitive development: A systematic review. PLOS ONE, 10, e0126929. doi:10.1371/journal.pone.0126929CrossRefGoogle ScholarPubMed
Kumar, M., Amugune, B., Madeghe, B., Wambua, G. N., Osok, J., Polkonikova-Wamoto, A., . . . Huang, K. Y. (2018). Mechanisms associated with maternal adverse childhood experiences on offspring's mental health in Nairobi informal settlements: A mediational model testing approach. BMC Psychiatry, 18, 381. doi:10.1186/s12888-018-1953-yCrossRefGoogle ScholarPubMed
Lancaster, C. A., Gold, K. J., Flynn, H. A., Yoo, H., Marcus, S. M., & Davis, M. M. (2010). Risk factors for depressive symptoms during pregnancy: A systematic review. American Journal of Obstetrics and Gynecology, 202, 514. doi:10.1016/j.ajog.2009.09.007CrossRefGoogle ScholarPubMed
Laurent, H. (2017). Early calibration of the HPA axis by maternal psychopathology. Psychoneuroendocrinology, 78, 177184. doi:10.1016/j.psyneuen.2017.01.034CrossRefGoogle ScholarPubMed
Legere, L. E., Wallace, K., Bowen, A., McQueen, K., Montgomery, P., & Evans, M. (2017). Approaches to health-care provider education and professional development in perinatal depression: A systematic review. BMC Pregnancy and Childbirth, 17, 239. doi:10.1186/s12884-017-1431-4CrossRefGoogle ScholarPubMed
Letourneau, N., Dewey, D., Kaplan, B. J., Ntanda, H., Novick, J., Thomas, J. C., . . . APrON Study Team. (2019). Intergenerational transmission of adverse childhood experiences via maternal depression and anxiety and moderation by child sex. Journal of Developmental Origins of Health and Disease, 10, 8899. doi:10.1017/S2040174418000648CrossRefGoogle ScholarPubMed
Lévesque, S., & Chamberland, C. (2016). Resilience, violence, and early pregnancy: A qualitative study of the processes used by young mothers to overcome adversities. SAGE Open, 6, 115. doi:10.1177/2158244016640851CrossRefGoogle Scholar
Libertus, K., Sheperd, K. A., Ross, S. W., & Landa, R. J. (2014). Limited fine motor and grasping skills in 6-month-old infants at high risk for autism. Child Development, 85, 22182231. doi:10.1111/cdev.12262Google ScholarPubMed
Lung, F.-W., Chiang, T.-L., Lin, S.-J., Lee, M.-C., & Shu, B.-C. (2010). Child developmental screening instrument from six to thirty-six months in Taiwan Birth Cohort Study. Early Human Development, 86, 1721. doi:10.1016/j.earlhumdev.2009.12.004CrossRefGoogle ScholarPubMed
Lung, F.-W., Shu, B.-C., Chiang, T.-L., & Lin, S. J. (2008). Efficient developmental screening instrument for 6- and 18-month-old children in the Taiwan Birth Cohort Pilot Study. Acta Paediatrica, 97, 10931098. doi:10.1111/j.1651-2227.2008.00832.xCrossRefGoogle ScholarPubMed
Ma, X., Wang, Y., Hu, H., Tao, X. G., Zhang, Y., & Shi, H. (2019). The impact of resilience on prenatal anxiety and depression among pregnant women in Shanghai. Journal of Affective Disorders, 250, 5764. doi:10.1016/j.jad.2019.02.058CrossRefGoogle ScholarPubMed
Madigan, S., Oatley, H., Racine, N., Fearon, R. M. P., Schumacher, L., Akbari, E., . . . Tarabulsy, G. M. (2018). A meta-analysis of maternal prenatal depression and anxiety on child socioemotional development. Journal of the American Academy of Child & Adolescent Psychiatry, 57, 645657. doi:10.1016/j.jaac.2018.06.012CrossRefGoogle ScholarPubMed
Madigan, S., Wade, M., Plamondon, A., Maguire, J. L., & Jenkins, J. M. (2017). Maternal adverse childhood experience and infant health: Biomedical and psychosocial risks as intermediary mechanisms. Journal of Pediatrics, 187, 282289. doi:10.1016/j.jpeds.2017.04.052CrossRefGoogle ScholarPubMed
McDonnell, C. G., & Valentino, K. (2016). Intergenerational effects of childhood trauma: Evaluating pathways among maternal aces, perinatal depressive symptoms, and infant outcomes. Child Maltreatment, 21, 317326. doi:10.1177/1077559CrossRefGoogle ScholarPubMed
Mersky, J. P., & Janczewski, C. E. (2018). Adverse childhood experiences and postpartum depression in home visiting programs: Revalence, association, and mediating mechanisms. Maternal and Child Health Journal, 22, 10511058. doi:10.1007/s10995-018-2488-zCrossRefGoogle Scholar
Miranda, J. K., de la Osa, N., Granero, R., & Ezpeleta, L. (2013). Maternal childhood abuse, intimate partner violence, and child psychopathology: The mediator role of mothers’ mental health. Violence Against Women, 19, 5068. doi:10.1177/1077801212475337CrossRefGoogle ScholarPubMed
Mitchell, S. J., & Ronzio, C. R. (2011). Violence and other stressful life events as triggers of depression and anxiety: What psychosocial resources protect African American mothers? Maternal and Child Health Journal, 15, 12721281. doi:10.1007/s10995-010-0668-6CrossRefGoogle ScholarPubMed
Nelson, B. W., Allen, N. B., & Laurent, H. (2018). Infant HPA axis as a potential mechanism linking maternal mental health and infant telomere length. Psychoneuroendocrinology, 88, 3846. doi:10.1016/j.psyneuen.2017.11.008CrossRefGoogle ScholarPubMed
O'Connor, T. G., Monk, C., & Fitelson, E. M. (2014). Practitioner review: Maternal mood in pregnancy and child development––Implications for child psychology and psychiatry. Journal of Child Psychology and Psychiatry, 55, 99111. doi:10.1111/jcpp.12153CrossRefGoogle ScholarPubMed
Racine, N. M., Madigan, S. L., Plamondon, A. R., Hetherington, E., McDonald, S. W., & Tough, S. C. (2018). Maternal psychosocial risk profiles in pregnancy: Associations with postpartum maternal health and child outcomes. Clinical Psychological Science, 6, 783796. doi:10.1177/2167702618788863CrossRefGoogle Scholar
Racine, N. M., Madigan, S. L., Plamondon, A. R., McDonald, S. W., & Tough, S. C. (2018). Differential associations of adverse childhood experience on maternal health. American Journal of Preventive Medicine, 54, 368375. doi:10.1016/j.amepre.2017.10.028CrossRefGoogle ScholarPubMed
Racine, N. M., Plamondon, A. R., Madigan, S. L., McDonald, S. W., & Tough, S. C. (2018). Maternal adverse childhood experiences and infant development. Pediatrics, 141, e20172495. doi:10.1542/peds.2017-2495CrossRefGoogle ScholarPubMed
Rahman, A., Fisher, J., Bower, P., Luchters, S., Tran, T., Yasamy, M. T., . . . Waheed, W. (2013). Interventions for common perinatal mental disorders in women in low- and middle-income countries: A systematic review and meta-analysis. Bulletin of the World Health Organization, 91, 593601. doi:10.2471/BLT.12.109819CrossRefGoogle ScholarPubMed
Rieder, A. D., Roth, S. L., Musyimi, C., Ndetei, D., Sassi, R. B., Mutiso, V., . . . Gonzalez, A. (2019). Impact of maternal adverse childhood experiences on child socioemotional function in rural Kenya: Mediating role of maternal mental health. Developmental Science, 22, e12833. doi:10.1111/desc.12833CrossRefGoogle ScholarPubMed
Røsand, G.-M. B., Slinning, K., Eberhard-Gran, M., Røysamb, E., & Tambs, K. (2011). Partner relationship satisfaction and maternal emotional distress in early pregnancy. BMC Public Health, 11, 161. doi:10.1186/1471-2458-11-161CrossRefGoogle ScholarPubMed
Samal, J. (2016). Assessing the family centered maternity care practices of a community health center in Chhattisgarh, India. Asian Journal of Pharmaceutics, 10, S308S312. doi:10.22377/ajp.v10i03.769Google Scholar
Seng, J. S., Sperlich, M., Low, L. K., Ronis, D. L., Muzik, M., & Liberzon, I. (2013). Childhood abuse history, posttraumatic stress disorder, postpartum mental health, and bonding: A prospective cohort study. Journal of Midwifery & Women's Health, 58, 5768. doi:10.1111/j.1542-2011.2012.00237.xCrossRefGoogle ScholarPubMed
Soska, K. C., & Adolph, K. E. (2014). Postural position constrains multimodal object exploration in infants. Infancy, 19, 138161. doi:10.1111/infa.12039CrossRefGoogle ScholarPubMed
Spittle, A., & Treyvaud, K. (2016). The role of early developmental intervention to influence neurobehavioral outcomes of children born preterm. Seminars in Perinatology, 40, 542548. doi:10.1053/j.semperi.2016.09.006CrossRefGoogle ScholarPubMed
Sun, J., Patel, F., Rose-Jacobs, R., Frank, D. A., Black, M. M., & Chilton, M. (2017). Mothers' adverse childhood experiences and their young children's development. American Journal of Preventive Medicine, 53, 882891. doi:10.1016/j.amepre.2017.07.015CrossRefGoogle ScholarPubMed
Tarabulsy, G. M., Pearson, J., Vaillancourt-Morel, M. P., Bussieres, E. L., Madigan, S., Lemelin, J. P., . . . Royer, F. (2014). Meta-analytic findings of the relation between maternal prenatal stress and anxiety and child cognitive outcome. Journal of Developmental and Behavioral Pediatrics, 35, 3843. doi:10.1097/dbp.0000000000000003CrossRefGoogle ScholarPubMed
Thomas, J. C., Letourneau, N., Campbell, T. S., & Giesbrecht, G. F. (2018). Social buffering of the maternal and infant HPA axes: Mediation and moderation in the intergenerational transmission of adverse childhood experiences. Development and Psychopathology, 30, 921939. doi:10.1017/s0954579418000512CrossRefGoogle ScholarPubMed
Tong, X., An, D., McGonigal, A., Park, S.-P., & Zhou, D. (2016). Validation of the Generalized Anxiety Disorder-7 (GAD-7) among Chinese people with epilepsy. Epilepsy Research, 120, 3136. doi:10.1016/j.eplepsyres.2015.11.019CrossRefGoogle ScholarPubMed
Treat, A. E., Sheffield-Morris, A., Williamson, A. C., & Hays-Grudo, J. (2019). Adverse childhood experiences and young children's social and emotional development: The role of maternal depression, self-efficacy, and social support. Early Child Development and Care. Advance online publication. doi:10.1080/03004430.2019.1578220Google Scholar
Tyrlik, M., Konecny, S., & Kukla, L. (2013). Predictors of pregnancy-related emotions. Journal of Clinical Medicine Research, 5, 112120. doi:10.4021/jocmr1246eGoogle ScholarPubMed
Vameghi, R., Amir Ali Akbari, S., Sajjadi, H., Sajedi, F., & Alavimajd, H. (2015). Correlation between mothers' depression and developmental delay in infants aged 6–18 month. Global Journal of Health Science, 8, 1118. doi:10.5539/gjhs.v8n5p11CrossRefGoogle Scholar
Wang, P. L. (2012). The development and validation of Taiwan Intimate Partner Violence Danger Assessment (TIPVDA). Social Policy & Social Work, 16, 158. doi:10.6785/spsw.201206.0001Google Scholar
Figure 0

Figure 1. Proposed model.

Figure 1

Table 1. Demographic information (n = 130)

Figure 2

Table 2. Maternal adversity childhood experiences and prenatal stress (n = 130)

Figure 3

Table 3. Correlations among maternal ACEs, maternal mental health, and child development (n = 130)

Figure 4

Figure 2. Pathways of maternal adverse childhood experiences (ACEs) on child development at 6 months through maternal psychosocial risk (stress, depression, and anxiety). Standardized coefficients were presented. Solid lines indicate significant paths; dashed lines indicate nonsignificant paths. *p < .05. **p < .01.

Supplementary material: File

Chang et al. supplementary material

Chang et al. supplementary material

Download Chang et al. supplementary material(File)
File 34.4 KB