Maternal depression and offspring mental health at age 5: MINA-Brazil cohort study

Alicia Matijasevich Alexandre Faisal-Cury Isabel Giacomini Julia de Souza Rodrigues Marcia C. Castro Marly A. Cardoso About the authors

ABSTRACT

OBJECTIVE:

To identify longitudinal patterns of maternal depression between three months and five years after child's birth, to examine predictor variables for these trajectories, and to evaluate whether distinct depression trajectories predict offspring mental health problems at age 5 years.

METHODS:

We used data from the Maternal and Child Health and Nutrition in Acre (MINA-Brazil) study, a population-based birth cohort in the Western Brazilian Amazon. Maternal depressive symptoms were assessed with the Edinburgh Postnatal Depression Scale (EPDS) at 3 and 6–8 months, and 1 and 2 years after delivery. Mental health problems in 5-year-old children were evaluated with the Strengths and Difficulties Questionnaire (SDQ) reported by parents. Trajectories of maternal depression were calculated using a group-based modelling approach.

RESULTS:

We identified four trajectories of maternal depressive symptoms: "low" (67.1%), "increasing" (11.5%), "decreasing" (17.4%), and "high-chronic" (4.0%). Women in the "high/chronic" trajectory were the poorest, least educated, and oldest compared with women in the other trajectory groups. Also, they were more frequently multiparous and reported smoking and having attended fewer prenatal consultations during pregnancy. In the adjusted analyses, the odds ratio of any SDQ disorder was 3.23 (95%CI: 2.00–5.22) and 2.87 (95%CI: 1.09–7.57) times higher among children of mothers belonging to the "increasing" and "high-chronic" trajectory groups, respectively, compared with those of mothers in the "low" depressive symptoms group. These differences were not explained by maternal and child characteristics included in multivariate analyses.

CONCLUSIONS:

We identified poorer mental health outcomes for children of mothers assigned to the "chronic/severe" and "increasing" depressive symptoms trajectories. Prevention and treatment initiatives to avoid the adverse short, medium, and long-term effects of maternal depression on offspring development should focus on women belonging to these groups.

DESCRIPTORS:
Mental Health; Maternal Depression; Cohort Studies

INTRODUCTION

Depression is one of the most important public health problems worldwide, affecting mainly women11 GBD 2019 Mental Disorders Collaborators. Global, regional, and national burden of 12 mental disorders in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Psychiatry. 2022 Feb;9(2):137-50. https://doi.org/10.1016/S2215-0366(21)00395-3
https://doi.org/10.1016/S2215-0366(21)00...
. Perinatal depression, a global public health issue, and more frequent among women from low- and middle-income countries, encompasses major and minor depressive episodes that occur either during pregnancy or within 12 months after delivery22 Woody CA, Ferrari AJ, Siskind DJ, Whiteford HA, Harris MG. A systematic review and meta-regression of the prevalence and incidence of perinatal depression. J Affect Disord. 2017 Sep;219:86-92. https://doi.org/10.1016/j.jad.2017.05.003
https://doi.org/10.1016/j.jad.2017.05.00...
. Postpartum depression (PPD) may occur at any time during the first year after delivery and continue for several years. A recent review of the literature with 565 studies from 80 different countries or regions found a prevalence of PPD of 17.2% (95%CI: 16.0–18.5), with higher figures among middle- and low-income countries33 Wang Z, Liu J, Shuai H, Cai Z, Fu X, Liu Y, et al. Mapping global prevalence of depression among postpartum women. Transl Psychiatry. 2021 Oct;11(1):543. https://doi.org/10.1038/s41398-021-01663-6
https://doi.org/10.1038/s41398-021-01663...
.

Maternal depression frequently occurs in a context of socioeconomic problems, stressful live events, single motherhood, marital difficulties, and little social support. Among vulnerable women, complications during pregnancy and childbirth as well as child health problems can also trigger depressive symptoms44 Gelaye B, Rondon MB, Araya R, Williams MA. Epidemiology of maternal depression, risk factors, and child outcomes in low-income and middle-income countries. Lancet Psychiatry. 2016 Oct;3(10):973-82. https://doi.org/10.1016/S2215-0366(16)30284-X
https://doi.org/10.1016/S2215-0366(16)30...
. Although severe cases of PPD can be easily detected, moderate cases are often confused with tiredness or sleep disturbances, or even go completely unnoticed by family members and health professionals55 Brummelte S, Galea LA. Postpartum depression: etiology, treatment and consequences for maternal care. Horm Behav. 2016 Jan;77:153-66. https://doi.org/10.1016/j.yhbeh.2015.08.008
https://doi.org/10.1016/j.yhbeh.2015.08....
. Most depressive symptoms after childbirth are self-limiting, disappearing within a few months of their onset66 Cooper PJ, Murray L. Postnatal depression. BMJ. 1998 Jun;316(7148):1884-6. https://doi.org/10.1136/bmj.316.7148.1884
https://doi.org/10.1136/bmj.316.7148.188...
. However, maternal depressive symptoms can become chronic or recurrent considering that the previous history of depression and antenatal depression are important risk factors for PPD77 Míguez MC, Vázquez MB. Risk factors for antenatal depression: a review. World J Psychiatry. 2021 Jul;11(7):325-36. https://doi.org/10.5498/wjp.v11.i7.325
https://doi.org/10.5498/wjp.v11.i7.325...
.

In addition to the impairments in woman's quality of life and the negative impact on familial relationships, maternal depression has also negative consequences on child development. Exposure to PDD leads to negative outcomes in multiple domains of child health, ranging from higher rates of prematurity and low birthweight, malnutrition and impairment in language, cognitive and motor development88 Slomian J, Honvo G, Emonts P, Reginster JY, Bruyère O. Consequences of maternal postpartum depression: a systematic review of maternal and infant outcomes. Womens Health (Lond Engl). 2019;15:1745506519844044. https://doi.org/10.1177/1745506519844044
https://doi.org/10.1177/1745506519844044...
. The PDD is also associated with an increased risk of offspring behavioural difficulties and persistent internalizing and externalizing disorders with effects that go far beyond childhood99 Morales-Munoz I, Ashdown-Doel B, Beazley E, Carr C, Preece C, Marwaha S. Maternal postnatal depression and anxiety and the risk for mental health disorders in adolescent offspring: findings from the Avon Longitudinal Study of Parents and Children cohort. Aust N Z J Psychiatry. 2023 Jan;57(1):82-92. https://doi.org/10.1177/00048674221082519
https://doi.org/10.1177/0004867422108251...
.

Clinical evidence has demonstrated heterogeneity in the patterns and predictors of maternal depressive symptomatology over time. A recent systematic review identified nine studies, mostly from high-income countries, that modelled trajectories of maternal depression and studied the impact of these trajectories on child psychiatric disorders1010 Santos H Jr, Tan X, Salomon R. Heterogeneity in perinatal depression: how far have we come? A systematic review. Arch Womens Ment Health. 2017 Feb;20(1):11-23. https://doi.org/10.1007/s00737-016-0691-8
https://doi.org/10.1007/s00737-016-0691-...
. This study, conducted in the Amazonian region, has three main objectives: 1) to identify trajectories of maternal depression between three months and 5 years after the child's birth, 2) to examine predictor variables for these trajectories, and 3) to evaluate whether maternal depression trajectories predict offspring mental health problems at 5 years of age.

METHODS

Participants

The Maternal and Child Health and Nutrition Study in Acre (MINA-Brazil) is a population-based birth cohort of children born from July 2015 to June 2016 in the city of Cruzeiro do Sul, state of Acre, Brazil. The municipality of Cruzeiro do Sul is in the North region of the country, in the Western Amazon, with an estimated population of 88,376 people in 2019. In 2010, the Human Development Index of Cruzeiro do Sul was 0.664, compared with 0.727 in Brazil. The fieldwork team visited daily the only maternity hospital in the city and invited all women who gave birth in the hospital to participate in the study. Mothers were interviewed soon after delivery using a structured questionnaire. Information was obtained on demographic, socioeconomic, behavioural, and biological characteristics, reproductive history, and health care utilization. Characteristics of their newborns, such as gender, gestational age, weight, and length at birth, were obtained from hospital records. The baseline follow-up consisted of 1,246 children born to mothers residing in the urban area. Only single births were included in the study. Mothers and children residing in the remote rural area of the city were not eligible for follow-up. After birth, the 3-month follow-up visit was carried out by telephone interview. Assessments at 6–8 months, 1, 2, and 5 years after delivery were scheduled by telephone and carried out in a basic health unit in the city. During the follow-ups, information about several characteristics of the family, mother, and child were collected. In case of non-attendance, up to three rescheduling attempts were made. More details of the methodology were previously described1111 Cardoso MA, Matijasevich A, Malta MB, Lourenco BH, Gimeno SG, Ferreira MU, et al.; MINA-Brazil Study Group. Cohort profile: the maternal and child health and nutrition in Acre, Brazil, birth cohort study (MINA-Brazil). BMJ Open. 2020 Feb;10(2):e034513. https://doi.org/10.1136/bmjopen-2019-034513
https://doi.org/10.1136/bmjopen-2019-034...
.

Measures

Maternal depressive symptoms: repeated assessments of maternal depressive symptoms at 3 and 6–8 months, and 1 and 2 years after delivery were made using the Edinburgh Postnatal Depression Scale (EPDS)1212 Cox JL, Holden JM, Sagovsky R. Detection of postnatal depression. Development of the 10-item Edinburgh Postnatal Depression Scale. Br J Psychiatry. 1987 Jun;150(6):782-6. https://doi.org/10.1192/bjp.150.6.782
https://doi.org/10.1192/bjp.150.6.782...
. The EPDS is a self-administered, 10-item scale; each item has four possible responses ranging from 0 to 3, with a total minimum score of 0 and maximum of 30. The scale indicates the intensity of depressive symptoms over the preceding seven days. We used a Brazilian version of the questionnaire, validated previously in Brazil1313 Santos IS, Matijasevich A, Tavares BF, Barros AJ, Botelho IP, Lapolli C, et al. Validation of the Edinburgh Postnatal Depression Scale (EPDS) in a sample of mothers from the 2004 Pelotas Birth Cohort Study. Cad Saude Publica. 2007 Nov;23(11):2577-88. https://doi.org/10.1590/S0102-311X2007001100005
https://doi.org/10.1590/S0102-311X200700...
. The validation study showed that a cut-off score of ≥ 10 identified women at risk of minor depression with 82.6% (75.3–89.9%) sensitivity and 65.4% (59.8–71.1%) specificity. The EPDS has also been validated to be used in the adult population outside of the postpartum period1414 Matijasevich A, Munhoz TN, Tavares BF, Barbosa AP, Silva DM, Abitante MS, et al. Validation of the Edinburgh Postnatal Depression Scale (EPDS) for screening of major depressive episode among adults from the general population. BMC Psychiatry. 2014 Oct;14(1):284. https://doi.org/10.1186/s12888-014-0284-x
https://doi.org/10.1186/s12888-014-0284-...
. In the MINA-Brazil study, maternal scores on the EPDS correlated moderately over time (from 0.41 to 0.67).

Child's mental health assessment: at the five-year follow-up visit, mothers were interviewed by trained fieldworkers using the Strengths and Difficulties Questionnaire (SDQ): a brief behavioural screening questionnaire for 2–17-year-olds. The SDQ was validated for use in Brazil by Fleitlich-Bilyk and Goodman1515 Fleitlich-Bilyk B, Goodman R. Prevalence of child and adolescent psychiatric disorders in southeast Brazil. J Am Acad Child Adolesc Psychiatry. 2004 Jun;43(6):727-34. https://doi.org/10.1097/01.chi.0000120021.14101.ca
https://doi.org/10.1097/01.chi.000012002...
. The instrument consists of 25 questions divided into five subscales of five items each: emotional symptoms, conduct problems, hyperactivity/inattention, peer relationship problems, and prosocial behaviour. Each question is scored on a three-point scale (not true = 0; somewhat true = 1; certainly true = 2). We used total SDQ scores and those of the emotional, conduct, attentional/hyperactivity, and peer problems subscales. The total difficulty score (any SDQ difficulty) was calculated by adding the results of the subscales (except prosocial behaviour). The resulting score ranged from 0 to 40 and could be stratified into three categories: normal (0–13), borderline (14–16), and abnormal (17–40). The subscale scores ranged from 0 to 10 and were also categorized as normal, borderline, or abnormal, according to the suggested cut-off points available on the SDQ website1616 Youth in mind: Scoring the SDQ. 2022 Ago 16 [cited 2023 May 15]. Available from: https://sdqinfo.org/py/sdqinfo/c0.py
https://sdqinfo.org/py/sdqinfo/c0.py...
. We used a dichotomous classification of SDQ scores, whereby subjects in the borderline and abnormal categories were compared with those in the normal group.

Covariates: information on maternal and child variables was collected in the perinatal interview. A wealth index, estimated by principal component analysis, was based on domestic possessions of consumer goods and characteristics of infrastructure and housing. It was categorized into quintiles, with the 1st and the 5th quintiles the poorest and the wealthiest groups, respectively. Maternal schooling at the time of delivery was recorded as complete school years and categorized into ≤ 9, 10–12, and > 12 years of formal education. Maternal age was recorded in complete years and categorized into < 19, 20–35, and > 35 years. Women who were single, widowed, divorced, or lived without a partner were classified as single mothers. Maternal skin colour was self-reported and categorized as white or Black/mixed race. Maternal smoking behaviour during pregnancy was assessed retrospectively at birth by self-report. Regular smokers were defined as those women who smoked at least one cigarette daily in any trimester of pregnancy. Any amount of alcohol intake during any trimester of pregnancy was considered as alcohol consumption during pregnancy. Women were asked if they planned their pregnancy (yes/no). Parity was defined as the number of previous viable pregnancies and categorized as 1 (primiparity) and ≥ 2. Number of prenatal care visits was categorized as < 6 and ≥ 6. The type of delivery was classified as vaginal or by caesarean section.

Child variables were recorded at birth. Birthweight was measured by hospital staff. Low birthweight was defined as less than 2,500g. Gestational age was based on the last menstrual period, ultrasound, and clinical maturity of the newborn. Births before the 37th week of pregnancy were classified as preterm.

Analysis Plan

First, trajectories of depressive symptoms, based on EPDS scores from three-months until the five-year-follow-up, were created by applying a semiparametric, group-based modelling approach, a specialized form of finite mixture modelling1717 Nagin DS. Group-based modeling of development. Cambridge: Harvard University Press; 2005. https://doi.org/10.4159/9780674041318
https://doi.org/10.4159/9780674041318...
. The method is designed to identify rather than assume groups or clusters of individuals following similar developmental trajectories. A polynomial function is used to model the relationship between an attribute (i.e. maternal depression symptomatology) and age or time1717 Nagin DS. Group-based modeling of development. Cambridge: Harvard University Press; 2005. https://doi.org/10.4159/9780674041318
https://doi.org/10.4159/9780674041318...
,1818 Nagin DS, Odgers CL. Group-based trajectory modeling in clinical research. Annu Rev Clin Psychol. 2010;6(1):109-38. https://doi.org/10.1146/annurev.clinpsy.121208.131413
https://doi.org/10.1146/annurev.clinpsy....
. The models were estimated with the Stata procedure "traj"1919 Jones BL, Nagin DS. A Stata Plugin for estimating group-based trajectory models. 2012 [cited 2023 Apr 25]. Available from: https://ssrc.indiana.edu/doc/wimdocs/2013-03-29_nagin_trajectory_stata-plugin-info.pdf
https://ssrc.indiana.edu/doc/wimdocs/201...
. We included 1,141 women with valid EPDS data from at least one follow-up visit. The proportion of women that completed the EPDS in all follow-ups was 29.4%. Overall, 71.4% completed the EPDS at least three times, 16.2% completed the EPDS two times and 12.4% completed the EPDS only one time. Individuals with missing information were not excluded from the model due to group-based trajectory modelling handling missing data using maximum likelihood estimation1717 Nagin DS. Group-based modeling of development. Cambridge: Harvard University Press; 2005. https://doi.org/10.4159/9780674041318
https://doi.org/10.4159/9780674041318...
. However, women who did not complete the EPDS (n = 105) were excluded from the analyses.

To estimate maternal depression trajectories, a censored normal (CNORM) model was fitted to the data. The number and shape of trajectories were chosen based on the best fit of the model maximum Bayesian information criteria (BIC), the interpretability of the trajectories obtained, and the posterior probability scores for each trajectory group (i.e., the individual's probability of belonging to each of the trajectory groups). According to Nagin1717 Nagin DS. Group-based modeling of development. Cambridge: Harvard University Press; 2005. https://doi.org/10.4159/9780674041318
https://doi.org/10.4159/9780674041318...
, an average probability score should be higher than 0.70 for all groups.

In a second stage of analyses, we examined the contribution of predictor variables (maternal and child's characteristics) on the maternal depression trajectory group. Since variables were categorical, we used the chi-square test to compare the groups on maternal and child characteristics.

In the third stage, we evaluated whether maternal depression trajectory group membership predicted child's mental health problems at 5 years old. We had valid information on SDQ for 694 children. Multivariate logistic regression analysis was used to estimate the association between any SDQ difficulty, emotional symptoms, conduct problems, hyperactivity/inattention, and peer relationship problems disorders (binary outcomes) and trajectories of maternal depressive symptoms (exposure) adjusting for potential confounding factors in separate models. Potential confounding variables were included in the adjusted analysis using a backward strategy selection. Each outcome had three models: unadjusted results (model 1), results adjusted for maternal characteristics (model 2), and results adjusted for model 2 variables plus child characteristics (model 3). If the significance level was below 0.202020 Maldonado G, Greenland S. Simulation study of confounder-selection strategies. Am J Epidemiol. 1993 Dec;138(11):923-36. https://doi.org/10.1093/oxfordjournals.aje.a116813
https://doi.org/10.1093/oxfordjournals.a...
, the variable remained in the model as a potential confounder for the next level. Interaction terms between maternal trajectories of depressive symptoms and child gender were tested but not introduced into the model, since they did not reach statistical significance. All analyses were performed with Stata software version 17.0 (StataCorp LP, College Station, Tex).

Ethics

The study protocol and all follow-ups of the MINA-Brazil cohort study were approved by the Ethics Committee of the Universidade de São Paulo. A signed informed consent form was used in each follow-up, after informing mothers of the study objectives. Data confidentiality and voluntary participation were guaranteed throughout, as was the option to withdraw from the study at any time, without offering a reason. Those mothers identified with serious mental health problems were referred to the appropriate local healthcare facilities.

RESULTS

Attrition Analyses

Of the 1,246 participants, 1,141 (91.6%) women had valid EPDS data from at least one follow-up, and, of those, 694 answered the SDQ questionnaire (56% of the original cohort). Among members not included either in the analyses of maternal depression trajectories or in the analyses of the association between maternal depression trajectories and offspring mental health problems, women belonging to the poorest families, with the lowest education, adolescent mothers, those who consumed alcohol during pregnancy, and who had the fewest number of prenatal care visits were overrepresented (Table 1).

Table 1
Baseline characteristics of mothers and children included and not included in this study.

Sample Description

Approximately half of the women had 10–12 years of formal education, 70% were aged between 20 and 35 years, one out of five were single mothers, most of them self-classified as being Black or Mixed race, did not smoke or consume alcohol during pregnancy, had 6 or more antenatal care visits, and around 40% were primiparous and did not plan the pregnancy. The most frequent route of delivery was vaginal and approximately 7% and 8% of the children had low birthweight and were preterm at birth, respectively.

Identification of Trajectories

We modelled maternal EPDS scores trajectories from the time the children were 3 months to 5 years of age. Analyses were conducted specifying three-, four-, five-, and six-group models. The BIC improved as more groups were added, however, the improvement observed from the four-group to the five- and six-group model was very low and the four-group emerged as the best fitting and more parsimonious model. Regarding parameter estimates for the four-group model, Table 2 shows that the constant term differed from zero for all four groups. Two trajectories were best represented by a cubic term, one trajectory was linear and the other one was quadratic (Figure). Group 1 (named "low", n = 765, 67.1%) had EPDS scores below 5 across all time points, suggesting low depressive symptomatology. Group 2 (named "increasing", n = 131, 11.5%) showed EPDS scores below 10 in the first 24 months postpartum with a sharp increase between the 24-month and 5-year follow-up. Group 3 (named "decreasing", n = 199, 17.4%) showed a consistent decrease in depressive symptoms during the study period. Finally, Group 4 (named "high/chronic", n = 46, 4.0%) represents women that had very high EPDS scores all over the study period. For all four groups, the average posterior probability (APP) was above the lower recommended threshold for assignment, 0.7 (APP of 0.89, 0.74, 0.73, and 0.87 for Group 1 to Group 4, respectively).

Figure
Trajectories of maternal depression symptoms measured by the Edinburgh Postpartum Depression Score (EPDS) by child's age.
Table 2
Descriptive and average posterior probabilities (APP) for the trajectories (n = 1,141).

Factors Associated with Maternal Depression Trajectory Membership

Women in the "high/chronic" depression trajectory group belonged to the poorest families and were more frequently the least educated, older, and multiparous. They also reported smoking more frequently during pregnancy and having attended fewer prenatal consultations than women in the other trajectory groups. Regarding child characteristics, low birthweight was higher among offspring of mothers belonging to the high/chronic trajectory than among those of mothers belonging to the other groups (Table 3).

Table 3
Maternal and child characteristics according to maternal depression trajectory groups.

Children's Mental Health Problems at 5 Years as a Function of Maternal Depression Trajectory Membership

Regarding children's mental health problems, 33.1% (n = 230) had some SDQ difficulty at five years. Emotional and hyperactivity/inattention symptoms were 39.9% (n = 277) and 33.1% (n = 230), respectively. The most frequent disorders reported by the mothers were conduct problems (37.3%, n = 259) and the least frequent were relationship problems with peers (21.9%, n = 152).

The association between maternal depression trajectory groups and children's mental health problems at 5 years showed no gender interaction effect in relation to any of the outcomes investigated.

Logistic regression analyses were conducted to examine differences in children's mental disorders by maternal depression trajectory group after controlling for several potential confounders (Table 4). Single mother, maternal skin colour, alcohol consumption during pregnancy, planned pregnancy, type of delivery, child's sex, and preterm birth were not included in any of the models due to not being associated with maternal trajectories. The magnitude of risk for mental disorders in all maternal depressive trajectories compared with the "low" group (reference category) did not substantially change after adjusting for maternal and child characteristics. Children of mothers in the "increasing" and "high-chronic" trajectory groups showed the highest odds of having any SDQ difficulty, emotional problems, and hyperactivity/inattention symptoms. Offspring of mothers in the "increasing" group had the highest odds of experiencing conduct problems at age 5. Maternal depression trajectories were not associated with peer problems at age 5.

Table 4
Crude and adjusted analyses for mental health problems at 5 years according to trajectories of maternal depressive symptoms (children of mothers in the "low" depression trajectory = reference).

DISCUSSION

We identified four trajectories of maternal depressive symptoms from 3 months to 5 years after childbirth: a "low" trajectory (67.1%), an "increasing" trajectory (11.5%), a "decreasing" trajectory (17.4%), and a "high-chronic" trajectory (4.0%). Poverty, low education, advanced maternal age, multiparity, smoking during pregnancy, and fewer antenatal consultations were characteristics more frequently observed among mothers who belonged to the "high/chronic" trajectory. Offspring of mothers belonging to the "increasing" and "high-chronic" trajectory groups showed the highest odds of any SDQ difficulty, emotional, and hyperactivity/inattention symptoms at age 5. Maternal and child variables included in the adjusted analyses did not substantially explain these differences.

Maternal depression is not a homogeneous entity and has different clinical courses according to the severity, chronicity, and timing of mothers' depressive symptoms. Several studies have explored longitudinal analysis of maternal depressive symptoms using different methodologies, such as Group-Based Modelling, Latent Profile Analysis, and Growth Mixture Modeling1717 Nagin DS. Group-based modeling of development. Cambridge: Harvard University Press; 2005. https://doi.org/10.4159/9780674041318
https://doi.org/10.4159/9780674041318...
. Most studies identified between three and five trajectories2121 Najman JM, Plotnikova M, Williams GM, Alati R, Mamun AA, Scott J, et al. Trajectories of maternal depression: a 27-year population-based prospective study. Epidemiol Psychiatr Sci. 2017 Feb;26(1):79-88. https://doi.org/10.1017/S2045796015001109
https://doi.org/10.1017/S204579601500110...
2323 Matijasevich A, Murray J, Cooper PJ, Anselmi L, Barros AJ, Barros FC, et al. Trajectories of maternal depression and offspring psychopathology at 6 years: 2004 Pelotas cohort study. J Affect Disord. 2015 Mar;174:424-31. https://doi.org/10.1016/j.jad.2014.12.012
https://doi.org/10.1016/j.jad.2014.12.01...
. While most women in the studies belonged to the "low or no depressive symptomatology" trajectories, around 5–12% of women were most impaired showing high and persistent depressive symptoms over time. Predictors of all patterns of depression varied in the different studies, and the most frequent were family socioeconomic position, maternal age, smoking during pregnancy, and partner and social support.

Our results are in line with previous studies carried out in high income countries such as in the Netherlands2424 Cents RA, Diamantopoulou S, Hudziak JJ, Jaddoe VW, Hofman A, Verhulst FC, et al. Trajectories of maternal depressive symptoms predict child problem behaviour: the Generation R study. Psychol Med. 2013 Jan;43(1):13-25. https://doi.org/10.1017/S0033291712000657
https://doi.org/10.1017/S003329171200065...
, Australia2525 Giallo R, Woolhouse H, Gartland D, Hiscock H, Brown S. The emotional-behavioural functioning of children exposed to maternal depressive symptoms across pregnancy and early childhood: a prospective Australian pregnancy cohort study. Eur Child Adolesc Psychiatry. 2015 Oct;24(10):1233-44. https://doi.org/10.1007/s00787-014-0672-2
https://doi.org/10.1007/s00787-014-0672-...
, France2626 Waerden J, Galéra C, Larroque B, Saurel-Cubizolles MJ, Sutter-Dallay AL, Melchior M. Maternal depression trajectories and children's behavior at age 5 years. J Pediatr. 2015 Jun;166(6):1440-8.e1. https://doi.org/10.1016/j.jpeds.2015.03.002
https://doi.org/10.1016/j.jpeds.2015.03....
, and Korea2727 Oh Y, Joung YS, Baek JH, Yoo N. Maternal depression trajectories and child executive function over 9 years. J Affect Disord. 2020 Nov;276:646-52. https://doi.org/10.1016/j.jad.2020.07.065
https://doi.org/10.1016/j.jad.2020.07.06...
, where children of mothers belonging to the "high symptoms" trajectories had more emotional and behavioural difficulties than those of mothers belonging to the "low/no symptoms" trajectory group. A population-birth cohort study in the south of Brazil had similar findings, with the odds of having any psychiatric disorder, internalizing and externalizing problems being nearly seven-times higher among 6-year-old children of mothers belonging to the "high-chronic" trajectory compared with the "low" group2323 Matijasevich A, Murray J, Cooper PJ, Anselmi L, Barros AJ, Barros FC, et al. Trajectories of maternal depression and offspring psychopathology at 6 years: 2004 Pelotas cohort study. J Affect Disord. 2015 Mar;174:424-31. https://doi.org/10.1016/j.jad.2014.12.012
https://doi.org/10.1016/j.jad.2014.12.01...
. In Chile, Chae et al.2828 Chae HK, East P, Delva J, Lozoff B, Gahagan S. Maternal depression trajectories relate to youths' psychosocial and cognitive functioning at adolescence and young adulthood. J Child Fam Stud. 2020 Dec;29(12):3459-69. https://doi.org/10.1007/s10826-020-01849-4
https://doi.org/10.1007/s10826-020-01849...
evaluated 1,273 mothers from one to 14.6 years after childbirth and reported that exposure to maternal depression of any duration, severity, or time-period during childhood was associated with higher levels of externalizing and attention problems at both age 14.6 and 20.5 years and higher levels of internalizing problems at adulthood2828 Chae HK, East P, Delva J, Lozoff B, Gahagan S. Maternal depression trajectories relate to youths' psychosocial and cognitive functioning at adolescence and young adulthood. J Child Fam Stud. 2020 Dec;29(12):3459-69. https://doi.org/10.1007/s10826-020-01849-4
https://doi.org/10.1007/s10826-020-01849...
.

This study has many strengths. First, the MINA-Brazil cohort was set up to better understand the effects of early environmental exposures on the growth and development of Amazonian children, and no previous research in this region looked at the impact of maternal depression on child mental health. Second, we used well validated instruments for assessing both maternal depressive symptomatology and offspring mental health. Third, we adjusted for several confounding variables. However, several limitations must also be considered. First, almost 40% of the original cohort, mainly women and their children in disadvantaged conditions were not included in this study. Even though losses to follow-up could have affected maternal depression and child mental health problems prevalences, the association between maternal depression trajectories and offspring mental health is less likely to be affected2929 Wolke D, Waylen A, Samara M, Steer C, Goodman R, Ford T, et al. Selective drop-out in longitudinal studies and non-biased prediction of behaviour disorders. Br J Psychiatry. 2009 Sep;195(3):249-56. https://doi.org/10.1192/bjp.bp.108.053751
https://doi.org/10.1192/bjp.bp.108.05375...
. Second, we did not have other informants of the child's mental health problems and we had to rely on the maternal report alone. However, a previous study showed that depressed mothers could be as accurate as other informants regarding their children behaviour3030 Richters JE. Depressed mothers as informants about their children: a critical review of the evidence for distortion. Psychol Bull. 1992 Nov;112(3):485-99. https://doi.org/10.1037/0033-2909.112.3.485
https://doi.org/10.1037/0033-2909.112.3....
. Finally, even though genetic factors or genotype-environment interactions could play a significant role in the genesis of children mental health problems, this information was unavailable in our study.

CONCLUSION

This study provided evidence of different trajectories of maternal postnatal depressive symptomatology and their impact on children's mental health. We identified a small but highly important group of mothers with chronic and severe symptoms of depression throughout the first five years of the child life. These results are interesting since most mothers during the first years after birth are in contact with health professionals, mainly due to childcare consultations, when women at risk of persistent depressive symptomatology could be identified and treated. Our findings support the need to provide mental health evaluation and care for women and their children thus avoiding the long-term effects of maternal depression on offspring mental health and well-being.

  • Funding:Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq – grant number 407255/2013-3; grant numbers 303794/2021-6 and 312746/2021-0 - senior research scholarships for MAC and AM). Fundação Maria Cecília Souto Vidigal. Fundação de Amparo à Pesquisa do Estado de São Paulo (Fapesp - grant number 2016/00270-6; grant numbers 2022/03400-9 and 2021/01688-2 - doctoral scholarship for IG; grant numbers 2020/13425-3 and 2023/05522-9 - doctoral scholarship for JSR). The funders had no role in the study design, data collection, interpretation, or the decision to submit the work for publication.

Acknowledgments

We thank all women and children who have taken part in the MINA-Brazil Study and health professionals at the Maternity Hospital, Municipal Health Secretariat, and primary health care units of Cruzeiro do Sul. Members of the MINA-Brazil Working Group: Marly Augusto Cardoso (PI), Alicia Matijasevich, Bárbara Hatzlhoffer Lourenço, Jenny Abanto, Maíra Barreto Malta, Marcelo Urbano Ferreira, Paulo Augusto Ribeiro Neves (Universidade de São Paulo, São Paulo, Brazil); Ana Alice Damasceno, Bruno Pereira da Silva, Rodrigo Medeiros de Souza (Universidade Federal do Acre, Cruzeiro do Sul, Brazil); Simone Ladeia-Andrade (Instituto Oswaldo Cruz, Fiocruz, Rio de Janeiro, Brazil), Marcia Caldas de Castro (Harvard T.H. Chan School of Public Health, Boston, USA).

REFERENCES

  • 1
    GBD 2019 Mental Disorders Collaborators. Global, regional, and national burden of 12 mental disorders in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Psychiatry. 2022 Feb;9(2):137-50. https://doi.org/10.1016/S2215-0366(21)00395-3
    » https://doi.org/10.1016/S2215-0366(21)00395-3
  • 2
    Woody CA, Ferrari AJ, Siskind DJ, Whiteford HA, Harris MG. A systematic review and meta-regression of the prevalence and incidence of perinatal depression. J Affect Disord. 2017 Sep;219:86-92. https://doi.org/10.1016/j.jad.2017.05.003
    » https://doi.org/10.1016/j.jad.2017.05.003
  • 3
    Wang Z, Liu J, Shuai H, Cai Z, Fu X, Liu Y, et al. Mapping global prevalence of depression among postpartum women. Transl Psychiatry. 2021 Oct;11(1):543. https://doi.org/10.1038/s41398-021-01663-6
    » https://doi.org/10.1038/s41398-021-01663-6
  • 4
    Gelaye B, Rondon MB, Araya R, Williams MA. Epidemiology of maternal depression, risk factors, and child outcomes in low-income and middle-income countries. Lancet Psychiatry. 2016 Oct;3(10):973-82. https://doi.org/10.1016/S2215-0366(16)30284-X
    » https://doi.org/10.1016/S2215-0366(16)30284-X
  • 5
    Brummelte S, Galea LA. Postpartum depression: etiology, treatment and consequences for maternal care. Horm Behav. 2016 Jan;77:153-66. https://doi.org/10.1016/j.yhbeh.2015.08.008
    » https://doi.org/10.1016/j.yhbeh.2015.08.008
  • 6
    Cooper PJ, Murray L. Postnatal depression. BMJ. 1998 Jun;316(7148):1884-6. https://doi.org/10.1136/bmj.316.7148.1884
    » https://doi.org/10.1136/bmj.316.7148.1884
  • 7
    Míguez MC, Vázquez MB. Risk factors for antenatal depression: a review. World J Psychiatry. 2021 Jul;11(7):325-36. https://doi.org/10.5498/wjp.v11.i7.325
    » https://doi.org/10.5498/wjp.v11.i7.325
  • 8
    Slomian J, Honvo G, Emonts P, Reginster JY, Bruyère O. Consequences of maternal postpartum depression: a systematic review of maternal and infant outcomes. Womens Health (Lond Engl). 2019;15:1745506519844044. https://doi.org/10.1177/1745506519844044
    » https://doi.org/10.1177/1745506519844044
  • 9
    Morales-Munoz I, Ashdown-Doel B, Beazley E, Carr C, Preece C, Marwaha S. Maternal postnatal depression and anxiety and the risk for mental health disorders in adolescent offspring: findings from the Avon Longitudinal Study of Parents and Children cohort. Aust N Z J Psychiatry. 2023 Jan;57(1):82-92. https://doi.org/10.1177/00048674221082519
    » https://doi.org/10.1177/00048674221082519
  • 10
    Santos H Jr, Tan X, Salomon R. Heterogeneity in perinatal depression: how far have we come? A systematic review. Arch Womens Ment Health. 2017 Feb;20(1):11-23. https://doi.org/10.1007/s00737-016-0691-8
    » https://doi.org/10.1007/s00737-016-0691-8
  • 11
    Cardoso MA, Matijasevich A, Malta MB, Lourenco BH, Gimeno SG, Ferreira MU, et al.; MINA-Brazil Study Group. Cohort profile: the maternal and child health and nutrition in Acre, Brazil, birth cohort study (MINA-Brazil). BMJ Open. 2020 Feb;10(2):e034513. https://doi.org/10.1136/bmjopen-2019-034513
    » https://doi.org/10.1136/bmjopen-2019-034513
  • 12
    Cox JL, Holden JM, Sagovsky R. Detection of postnatal depression. Development of the 10-item Edinburgh Postnatal Depression Scale. Br J Psychiatry. 1987 Jun;150(6):782-6. https://doi.org/10.1192/bjp.150.6.782
    » https://doi.org/10.1192/bjp.150.6.782
  • 13
    Santos IS, Matijasevich A, Tavares BF, Barros AJ, Botelho IP, Lapolli C, et al. Validation of the Edinburgh Postnatal Depression Scale (EPDS) in a sample of mothers from the 2004 Pelotas Birth Cohort Study. Cad Saude Publica. 2007 Nov;23(11):2577-88. https://doi.org/10.1590/S0102-311X2007001100005
    » https://doi.org/10.1590/S0102-311X2007001100005
  • 14
    Matijasevich A, Munhoz TN, Tavares BF, Barbosa AP, Silva DM, Abitante MS, et al. Validation of the Edinburgh Postnatal Depression Scale (EPDS) for screening of major depressive episode among adults from the general population. BMC Psychiatry. 2014 Oct;14(1):284. https://doi.org/10.1186/s12888-014-0284-x
    » https://doi.org/10.1186/s12888-014-0284-x
  • 15
    Fleitlich-Bilyk B, Goodman R. Prevalence of child and adolescent psychiatric disorders in southeast Brazil. J Am Acad Child Adolesc Psychiatry. 2004 Jun;43(6):727-34. https://doi.org/10.1097/01.chi.0000120021.14101.ca
    » https://doi.org/10.1097/01.chi.0000120021.14101.ca
  • 16
    Youth in mind: Scoring the SDQ. 2022 Ago 16 [cited 2023 May 15]. Available from: https://sdqinfo.org/py/sdqinfo/c0.py
    » https://sdqinfo.org/py/sdqinfo/c0.py
  • 17
    Nagin DS. Group-based modeling of development. Cambridge: Harvard University Press; 2005. https://doi.org/10.4159/9780674041318
    » https://doi.org/10.4159/9780674041318
  • 18
    Nagin DS, Odgers CL. Group-based trajectory modeling in clinical research. Annu Rev Clin Psychol. 2010;6(1):109-38. https://doi.org/10.1146/annurev.clinpsy.121208.131413
    » https://doi.org/10.1146/annurev.clinpsy.121208.131413
  • 19
    Jones BL, Nagin DS. A Stata Plugin for estimating group-based trajectory models. 2012 [cited 2023 Apr 25]. Available from: https://ssrc.indiana.edu/doc/wimdocs/2013-03-29_nagin_trajectory_stata-plugin-info.pdf
    » https://ssrc.indiana.edu/doc/wimdocs/2013-03-29_nagin_trajectory_stata-plugin-info.pdf
  • 20
    Maldonado G, Greenland S. Simulation study of confounder-selection strategies. Am J Epidemiol. 1993 Dec;138(11):923-36. https://doi.org/10.1093/oxfordjournals.aje.a116813
    » https://doi.org/10.1093/oxfordjournals.aje.a116813
  • 21
    Najman JM, Plotnikova M, Williams GM, Alati R, Mamun AA, Scott J, et al. Trajectories of maternal depression: a 27-year population-based prospective study. Epidemiol Psychiatr Sci. 2017 Feb;26(1):79-88. https://doi.org/10.1017/S2045796015001109
    » https://doi.org/10.1017/S2045796015001109
  • 22
    Mughal MK, Giallo R, Arshad M, Arnold PD, Bright K, Charrois EM, et al. Trajectories of maternal depressive symptoms from pregnancy to 11 years postpartum: findings from Avon Longitudinal Study of Parents and Children (ALSPAC) cohort. J Affect Disord. 2023 May;328:191-9. https://doi.org/10.1016/j.jad.2023.02.023
    » https://doi.org/10.1016/j.jad.2023.02.023
  • 23
    Matijasevich A, Murray J, Cooper PJ, Anselmi L, Barros AJ, Barros FC, et al. Trajectories of maternal depression and offspring psychopathology at 6 years: 2004 Pelotas cohort study. J Affect Disord. 2015 Mar;174:424-31. https://doi.org/10.1016/j.jad.2014.12.012
    » https://doi.org/10.1016/j.jad.2014.12.012
  • 24
    Cents RA, Diamantopoulou S, Hudziak JJ, Jaddoe VW, Hofman A, Verhulst FC, et al. Trajectories of maternal depressive symptoms predict child problem behaviour: the Generation R study. Psychol Med. 2013 Jan;43(1):13-25. https://doi.org/10.1017/S0033291712000657
    » https://doi.org/10.1017/S0033291712000657
  • 25
    Giallo R, Woolhouse H, Gartland D, Hiscock H, Brown S. The emotional-behavioural functioning of children exposed to maternal depressive symptoms across pregnancy and early childhood: a prospective Australian pregnancy cohort study. Eur Child Adolesc Psychiatry. 2015 Oct;24(10):1233-44. https://doi.org/10.1007/s00787-014-0672-2
    » https://doi.org/10.1007/s00787-014-0672-2
  • 26
    Waerden J, Galéra C, Larroque B, Saurel-Cubizolles MJ, Sutter-Dallay AL, Melchior M. Maternal depression trajectories and children's behavior at age 5 years. J Pediatr. 2015 Jun;166(6):1440-8.e1. https://doi.org/10.1016/j.jpeds.2015.03.002
    » https://doi.org/10.1016/j.jpeds.2015.03.002
  • 27
    Oh Y, Joung YS, Baek JH, Yoo N. Maternal depression trajectories and child executive function over 9 years. J Affect Disord. 2020 Nov;276:646-52. https://doi.org/10.1016/j.jad.2020.07.065
    » https://doi.org/10.1016/j.jad.2020.07.065
  • 28
    Chae HK, East P, Delva J, Lozoff B, Gahagan S. Maternal depression trajectories relate to youths' psychosocial and cognitive functioning at adolescence and young adulthood. J Child Fam Stud. 2020 Dec;29(12):3459-69. https://doi.org/10.1007/s10826-020-01849-4
    » https://doi.org/10.1007/s10826-020-01849-4
  • 29
    Wolke D, Waylen A, Samara M, Steer C, Goodman R, Ford T, et al. Selective drop-out in longitudinal studies and non-biased prediction of behaviour disorders. Br J Psychiatry. 2009 Sep;195(3):249-56. https://doi.org/10.1192/bjp.bp.108.053751
    » https://doi.org/10.1192/bjp.bp.108.053751
  • 30
    Richters JE. Depressed mothers as informants about their children: a critical review of the evidence for distortion. Psychol Bull. 1992 Nov;112(3):485-99. https://doi.org/10.1037/0033-2909.112.3.485
    » https://doi.org/10.1037/0033-2909.112.3.485

Publication Dates

  • Publication in this collection
    26 Feb 2024
  • Date of issue
    2023

History

  • Received
    19 May 2023
  • Accepted
    24 Sept 2023
Faculdade de Saúde Pública da Universidade de São Paulo São Paulo - SP - Brazil
E-mail: revsp@org.usp.br