Abstract
Maternal depression is a risk factor for the development of problem behavior in children. Although food insecurity and housing instability are associated with adult depression and child behavior, how these economic factors mediate or moderate the relationship between maternal depression and child problem behavior is not understood. The purpose of this study was to determine whether food insecurity and housing instability are mediators and/or moderators of the relationship between maternal depression when children are age 3 and children’s problem behaviors at age 9 and to determine whether these mechanisms differ by race/ethnicity. We used data from the Fragile Families and Child Wellbeing Study. Food insecurity and housing instability at age 5 were tested as potential mediators and moderators of the relationship between maternal depression status at age 3 and problem behavior at age 9. A path analysis confirmed our hypothesis that food insecurity and housing instability partially mediate the relationship between maternal depression when children are age 3 and problem behavior at age 9. However, housing instability was only a mediator for externalizing problem behavior and not internalizing problem behavior or overall problem behavior. Results of the moderation analysis suggest that neither food insecurity nor housing instability were moderators. None of the mechanisms explored differed by race/ethnicity. While our findings stress the continued need for interventions that address child food insecurity, they emphasize the importance of interventions that address maternal mental health throughout a child’s life. Given the central role of maternal health in child development, additional efforts should be made to target maternal depression.
Keywords: Child problem behavior, Maternal depression, Food insecurity, Housing instability
Introduction
Child problem behavior, which may be internalizing (e.g., anxious, depressive) or externalizing (e.g., aggressive, hyperactive, noncompliant), negatively impacts the child’s adult health and economic outcomes (Delaney & Smith, 2012; Knapp, King, Healey, & Thomass, 2011). Maternal depression, one of the most common and debilitating disorders among women with children in the U.S., is associated with impaired behavioral outcomes for children from infancy through childhood and into adulthood (Augustine & Crosnoe, 2010; Trapolini, McMahon, & Ungerer, 2007). Children of mothers with depression have more problem behaviors than those with mothers who have never been depressed (Turney, 2012).
The adverse impact of a mother’s mental health on her children’s functioning probably occurs through multiple mechanisms in the child’s environment that may mediate or moderate the effect of maternal depression on children, such as maternal behaviors, parental social support, and economic stressors (Bodovski & Youn, 2010; Goodman & Gotlib, 1999; K. Turney, 2011; Valdez, Abegglen, & Hauser, 2013). Although the effects of maternal depression may be more consequential for families with hostile maternal behaviors, limited parental support, and low economic resources, it is also possible that that these mechanisms are influenced by maternal depression, which may contribute to a child’s negative outcomes. Low socioeconomic status (SES) and its associated stressors may contribute to depression (Heflin & Iceland, 2009). Although this has traditionally been a direction of focus in the sociological literature, depression itself may also increase family economic hardship (Frank & Koss, 2005; Garg, Toy, Tripodis, Cook, & Cordelia, 2015; Merikangas et al., 2007), which is associated with increased child problem behaviors (Duncan & Brooks-Gunn, 1997). Although one study using mediation suggests that economic hardship alone explains approximately 20% of the relationship between maternal depression and child problem behavior (Turney, 2012), few studies have examined the stressful context of economic hardship as a potential mediator of this relationship. Even in the context of moderation, although SES has been studied, there has not been an examination of specific aspects of economic wellbeing as potential moderators of the relationship between maternal depression and child problem behavior (Trapolini et al., 2007; K. Turney, 2011).
Material hardship is a consumption-based indicator of economic wellbeing, which captures sources of income other than earnings and assesses concrete instances of unmet material needs, such as food and housing (Zilanawala & Pilkauskas, 2012). In 2014, around 14.0% of U.S. households were food insecure, and 26.1% and 22.4% of Black and Hispanic households, respectively, were food insecure (Coleman-Jensen, Rabbitt, Gregory, & Sing, 2015). There are also racial/ethnic disparities with regard to housing, including home ownership (Kuebler & Rugh, 2013). Although maternal depression is associated with an increased odds of food insecurity and housing instability, and these are in turn associated with increased child problem behavior (Curtis, Corman, Noonan, & Reichman, 2014; Garg et al., 2015; Hanson & Olson, 2012; Jelleyman & Spencer, 2008), these prevalent factors of material hardship have not been examined as potential mediators or moderators of the relationship between maternal depression and child problem behavior.
Prior work of ours (unpublished), indicates that maternal depression in early childhood (e.g., age 3) increases the likelihood of greater problem behaviors in later childhood (e.g., age 9) and suggests that the impact of maternal depression does not attenuate over this time period. We conceptualize this relationship from a social ecological framework (Bronfenbrenner & Morris, 2006), in which child wellbeing is influenced by proximal and distal spheres of influence known as the microsystem, mesosystem, exosystem, and macrosystem. In maternal depression, the framework would posit that children’s wellbeing is proximally influenced by their home environment, which contains principal sources of caregiving and support. In this microsystem, parents’ mental health, responsiveness, and children’s regular interactions with their parents and siblings influence children’s behavior over time. Structural conditions of the environment, such as housing and food, may be placed in the exosystem, as a stable characteristic of the neighborhoods in which families live.
Yet, we argue that these material hardships may also exist across different systems, and be malleable by parental mental health and behaviors. Moreover, these hardships have a direct influence on the child’s access to objects and tasks that stimulate them cognitively and emotionally (Bronfenbrenner & Morris, 2006). This latter conceptualization has important implications for interventions because it implies that food insecurity and housing are less stable than previously thought, and it places these conditions as more proximally related to children’s wellbeing. Thus, rather than targeting behavioral change as the mechanism of influence between maternal depression and child outcomes among housing and food insecure families, the target would expand to include the direct interplay between behavioral and material resources. These interventions will require more than psychological supports for affected families, such as multi-component population health interventions.
Purpose of the Study
In this study, we will examine the role of material hardship in the form of housing instability and food insecurity, and their effect on the association between maternal depression and child problem behaviors. We extend previous work by examining the roles of food insecurity and housing instability as mediators and/or moderators of the relationship between maternal depression when children are age 3 and problem behavior at age 9 and determining whether these mechanisms differ by race/ethnicity. Our hypotheses are as follows:
Maternal depression when children are age 3 will have a negative effect on their problem behaviors at age 9, but this effect will only be observed among families who are food insecure and housing unstable (moderation).
Maternal depression when children are age 3 will have an indirect effect on their problem behaviors at age 9 via food insecurity and housing instability at age 9 (mediation).
Tests of moderation and mediator analysis will differ based on race/ethnicity.
Method
Data Source and Sample
The Fragile Families and Child Wellbeing Study (FFCWS) is a longitudinal cohort study of 4898 infants born in 1998–2000 in 20 U.S. cities (Reichman, Teitler, Garfinkel, & McLanahan, 2001). Most children in the study were born into “fragile families” with unmarried mothers at high risk of living in economically disadvantaged conditions. Interviews were conducted with families at birth and ages 1, 3, 5, and 9, each corresponding to the Birth survey and Year 1,3, 5, and 9 surveys. Information was collected on factors related to the physical and mental health of the focal child. Families whose child was deceased or formally/legally adopted at the time of a survey wave were not eligible to participate in that survey wave or any wave thereafter. Those families who, as part of a collaborative study, were not selected randomly for participation at baseline were ineligible to participate in any survey follow-ups. We conducted analyses on data from families in the FFCWS who participated in the Year 9 survey on behavior (N=3,630).
Measures
Child Problem Behavior
The primary outcome of interest was children’s problem behavior when they were age 9. Primary caregivers participating in the FFCWS rated aspects of their child’s internalizing and externalizing behaviors by completing slightly shortened questionnaires consisting of 65 questions based on Child Behavior Checklist (CBCL) scales (T. M. Achenbach, 1991, 1992). These are established, reliable, and valid measures of children’s problem behaviors (Nakamura, Ebesutani, Bernstein, & Chorpita, 2009). The primary caregiver was the mother if she lived with the child at least half of the time; otherwise the father or another adult who met the same residency qualification was considered the primary caregiver. At Year 9, 92% of primary caregivers were biological mothers.
For each CBCL item, the primary caregiver indicated whether the statement was not true (0), somewhat or sometimes true (1), or very/often true (2). We used a continuous variable of internalizing, externalizing, and overall behaviors. The internalizing behavior scale (possible range: 0-62) includes most items from the CBCL anxious/depressed, withdrawn/depressed , and somatic complaints subscales. The externalizing behavior scale (possible range: 0-68) includes most items from the CBCL aggressive behavior and rule-breaking behavior subscales. Overall problem behavior (range: 0-130) is the sum of the internalizing and externalizing behavior scores.
Maternal Depression
The primary exposure of interest was maternal depression status when their child was age 3. The Composite International Diagnostic Interview Short Form (CIDI-SF), developed by the World Health Organization, identifies individuals who likely have had a major depressive episode (MDE) in the previous year according to Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) criteria (Kessler, Wittchen, Abelson, & et al., 1998). In the completion of this form, mothers were asked two stem questions: if they had feelings of depression (e.g., dysphoric mood) or if they were unable to enjoy normally pleasurable things (e.g., anhedonia) at some time during the previous year. Mothers who experienced one or both of these conditions for at least half of the day, every day, over a 2-week period were asked seven additional questions regarding depressive symptoms. Mothers who reported at least three of these additional symptoms were considered to have experienced depressive symptoms when their child was age 3.
Food Insecurity
The Children’s Food Security Scale (CFSS) is composed of eight child-referenced questions of the U.S. Department of Agriculture (USDA)’s 18-item Food Security Module (Nord & Bickel, 2002). Per USDA guidelines, households with CFSS scores of 2 or more are classified as having children that were food insecure (Nord & Bickel, 2002). We used this to determine whether any child in the household was food insecure in the previous year (dichotomous variable); of note, it does not assess the food security status of individual children. This is a conservative assessment, since even a single affirmative response to the CFSS questions may be concerning for the wellbeing of children (Miller, Nepomnyaschy, Ibarra, & Garasky, 2014).
Housing Instability
We measured housing instability, as others have done, with questions about homelessness risk (Curtis et al., 2014). We used housing instability survey status at Years 3 and 5, where a mother was considered housing unstable if any of the following conditions were met (dichotomous variable): she (1) had an affirmative response to the interview question “In the past 12 months, were you evicted from your home or apartment for not paying the rent or mortgage?”; (2) reported having moved three or more times since the Year 3 survey; or (3) had a positive response to questions about living with family or friends without paying rent, or living with an adult other than a spouse or partner; we considered this being “doubled-up,” which is another important measure that helps to capture precarious housing status.
Additional Variables
Variables that may be associated with both maternal depression and children’s problem behavior were included in our adjusted analyses. Since nearly all children in the sample live with their mother, we followed previous investigators and included many of the mothers’ characteristics (Turney, 2011, 2012). Because a relatively small number of mothers reported poor health at Year 3, we combined the fair/poor categories and compared them to a combined category of excellent/very good/good health (dichotomous variable). A continuous measure of age of the mother (in years) at the time of childbirth and whether the mother was foreign-born was included. We included her relationship history with the child’s biological father at the Year 3 survey, as has been done previously (categories included married or cohabiting, non-residential romantic relationship, separated or divorced, just friends, or no relationship; Meadows, McLanahan, & Brooks-Gunn, 2007). Although data on child race/ethnicity was not available in the FFCWS, maternal race/ethnicity was available, allowing us to compare children born to women of these racial/ethnic groups: non-Hispanic Black, Hispanic, non-Hispanic White, other. We included whether the child’s sex was female, the birth was paid for by Medicaid, or if the child had a low birth weight (less than 2,500 grams), since these variables are associated with poor physical, mental, and behavioral health outcomes (Gray, Indurkhya, & McCormick, 2004). We included maternal education (less than high school diploma, high school diploma or GED, or postsecondary education) and maternal household poverty category at the Year 3 survey, measured as a percent of the federal poverty line (FPL) of the year preceding the interview. Poverty categories included: 0-49%, 50-99%, 100-199%, 200-299%, and 300%+ of the FPL. We included a continuous variable for the number of children in the household at Year 3, which includes the focal child participating in the FFCWS.
Data Analyses
To test for moderation (Hypothesis 1), we ran unadjusted and adjusted unweighted models to test if food and housing insecurity status moderate the relationship between maternal depression and children’s behavioral problems (Baron & Kenny, 1986). Food insecurity and housing instability were tested as potential moderators of the relationship between maternal depression status at Year 3 and children’s problem behavior at Year 9 (Baron & Kenny, 1986). We added interaction terms of food and housing status at age 3 with maternal depression status at age 3 to the unadjusted and adjusted unweighted models. If an interaction term was significant, this would indicate that the difference in children’s problem behavior score was different across food and housing status, between those children whose mothers were depressed at Year 3 and those whose mothers were not depressed, and we would estimate these differences.
To test for mediation (Hypothesis 2), we conducted a just-identified path analysis in Mplus Version 7.4 (Muthén & Muthén, 1998-2017) to test a single model of the direct effects of maternal depression at Year 3 on children’s behavior at Year 9, as well as the indirect effect of maternal depression at Year 3 on children’s behavior at Year 9 through food insecurity and housing instability at Year 5 (see Figure 1). Just-identified path analyses are a common approach to test path models, but their goodness of fit indices are not interpretable because they fit the data perfectly (Reichardt, 2001; Tomarken & Waller, 2003). Thus, goodness of fit indices are not reported. We used the built-in procedures in Mplus to accommodate the categorical mediators. Missing data was handled with Full Information Maximum Likelihood (FIML). We include the standardized model results.
To test if the moderation and mediator analyses differed based on race/ethnicity (Hypothesis 3), the statistical tests of moderation were reproduced in each racial/ethnic subgroup and results compared to determine whether the moderation differed by race/ethnicity. If we found significant interactions, we would account for these in our mediation analysis.
Results
Preliminary Results
To determine whether to utilize maternal depression status at Year 1 in our analyses, we added maternal depression at Year 1 and an interaction term of maternal depression at Year 1 and Year 3 to adjusted models of children’s problem behavior at Year 9 on maternal depression at Year 3. In these models, maternal depression at Years 1 and 3 was significantly associated with children’s problem behaviors at Year 9, with very similar magnitudes of association, and the interaction term between both years was not statistically significant. Based on this examination, we decided to only include maternal depression status at Year 3 in our analyses.
In total, 58 (1.7%) children experienced both food insecurity and housing instability at age 5. Among these 58 children, 27 mothers had depression. At Year 5, of those who experienced housing instability, 22% were also food insecure, and of those who experienced food insecurity, 17% also experienced housing instability. Table 1 includes the prevalence of food insecurity and housing instability at Year 5 across child, maternal, and household variables. Prevalence of food insecurity and housing instability was similar across child sex, and prevalence of food insecurity was highest among Black, non-Hispanic and Hispanic children. A high prevalence of food insecurity at age 5 was found among those children whose mother was depressed (19%), whose mother reported being in fair or poor health (17%), and whose household income was less than 50% of the FPL at year 3 (17%). About 12% of children whose mother was depressed at Year 3 experienced housing instability.
Table 1.
Variable | Food Insecurity (y.5), n (%) | Housing Instability (y.5), n (%) |
---|---|---|
Maternal depression (y.3) | 141(19) | 98(12) |
Female (b.) | 155(9) | 141(8) |
Male (b.) | 210(11) | 140(7) |
Race/ethnicity (b.) | ||
Black, non-Hispanic | 190(11) | 136(7) |
Hispanic | 106(11) | 75(8) |
White, non-Hispanic | 59(8) | 57(7) |
Other | 8(7) | 13(10) |
Fair or poor maternal health (y.3) | 82(17) | 65(13) |
Maternal education (y.3) | ||
Post-secondary education | 80(1) | 72(1) |
High school diploma or GED | 104(11) | 61(6) |
Less than high school | 180(13) | 147(10) |
Medicaid birth (b.) | 232(13) | 168(9) |
Foreign-born mother (b.) | 56(11) | 27(5) |
Household income (y.3) | ||
0-49% FPL | 145(17) | 80(10) |
50-999% FPL | 99(14) | 66(9) |
100-199% FPL | 77(9) | 86(9) |
200-299% FPL | 27(6) | 26(5) |
300%+ FPL | 15(2) | 21(3) |
Low birthweight (b.) | 42(12) | 36(10) |
Maternal relationship with father: Not married or cohabiting (y.3) | 25(11) | 21(9) |
Note. y.5 = Year 5; Year 5 N=3001; y.3 = Year 3; baseline = b.; FPL= Federal Poverty Line.
Primary Findings
Moderation
Table 2 includes unadjusted and adjusted unweighted models that examine food and housing status as potential moderators of the relationship between maternal depression status at Year 3 and child internalizing, externalizing, and overall problem behavior at Year 9. In the adjusted analysis, which accounted for multiple child, maternal, and household factors, neither food nor housing significantly interacted with maternal depression status. This was also true when we examined potential moderation within each race/ethnicity subgroup (non-Hispanic Black, Hispanic, non-Hispanic White, other).
Table 2.
Internalizing Behavior (y.9) | Externalizing Behavior (y.9) | Overall Behavior (y.9) | ||||
---|---|---|---|---|---|---|
Unadjusted | Adjusteda | Unadjusted | Adjusteda | Unadjusted | Adjusteda | |
Food Insecure (y. 3) | 1.64 (1.08, 2.51) | 1.95 (0.97, 3.93) | 2.07 (1.35, 3.16) | 1.69 (0.84, 3.39) | 2.06 (1.35, 3.15) | 1.97 (0.98, 3.95) |
Food Secure (y. 3) | 1.61 (1.45, 1.93) | 1.64 (1.26, 2.14) | 1.72 (1.44, 2.06) | 1.64 (1.26, 2.14) | 1.80 (1.51, 2.15) | 1.76 (1.35, 2.30 |
Housing Unstable (y. 3) | 1.93 (1.30, 2.87) | 1.46 (0.65, 3.31) | 2.00 (1.34, 2.96) | 1.22 (0.54, 2.76) | 2.13 (1.43, 3.16) | 1.35 (0.60, 3.05) |
Housing Stable (y. 3) | 1.78 (1.49, 2.07) | 1.69 (1.30, 2.20) | 1.80 (1.53, 2.12) | 1.70 (1.31, 2.20) | 1.96 (1.67, 2.31) | 1.83 (1.41, 2.38) |
Adjusted model controls for child (gender, race/ethnicity, low birthweight status, Medicaid birth status), maternal (self-reported health at Year 3, educational attainment, age at childbirth, foreign-born status, relationship with child’s biological father at Year 3), and household (income at Year 3, number of children at Year 3) factors. Food insecurity status at Year 3 is included in the adjusted model examining housing instability interaction; housing instability status at Year 3 is included in the adjusted model examining food insecurity interaction.
Mediation
In the just-identified path analysis, depression at Year 3 directly and positively predicted child problem behaviors at Year 9 for externalizing problem behaviors (β=.21, SE =.05, z =.4.65, p <.0001), internalizing problem behaviors (β=.20, SE =.05, z =4.43, p <.0001), and overall problem behaviors (β= .23, SE = 05, z =5.04, p <.0001). Depression at Year 3 also directly predicted housing instability (β=.40, SE =.07, z =5.82, p <.0001) and food insecurity at Year 5 (β =.53, SE =.06, z =8.40, p <.0001). The indirect effect of depression at Year 3 on externalizing problem behaviors at Year 9 was significant through food insecurity (β=.07, SE =.02, z =4.54, p <.0001) and housing instability at Year 5 (β=.03, SE = 01, z =2.04, p <042). The indirect effect of depression at Year 3 on internalizing behaviors at Year 9 was significant through food insecurity (β=.08, SE =.02, z =5.52, p <.0001) but not housing instability at Year 5 (β=.02, SE = 01, z =1.29, p <.197). The indirect effect of depression at Year 3 on overall problem behavior at Year 9 was significant through food insecurity (β=.08, SE =.02, z =5.35, p <.0001) but not housing instability at Year 5 (β< .001, z = 05, SE = 02, p <.963).
Discussion
We conceptualize the relationship between maternal depression and children’s problem behaviors from a social ecological framework (Bronfenbrenner & Morris, 2006), where the children’s wellbeing is most proximally influenced by their home environment, a microsystem, which contains principal sources of caregiving and support, particularly parents’ mental health. Structural conditions of the environment and neighborhoods, including hardships with housing and food, are characteristics of the macrosystem, as well as part of the microsystem, given their influence on parents’ responsiveness and children’s access to positive cognitive and emotional stimulation and stability (Hanson & Olson, 2012; Melchior et al., 2009).
We found that food and housing insecurities at Year 5 partly explained the relationship between maternal depression at Year 3 and child problem behavior at Year 9. Specifically, food insecurity and housing instability at Year 5 mediated this relationship for externalizing problem behavior at Year 9. As for the relationship between maternal depression and internalizing or overall problem behavior, only food insecurity at Year 5 mediated this relationship. Therefore, food insecurity and housing instability appear to partially explain how maternal depression can impact children’s problem behavior at a later time. Our conceptualization has important implications for interventions because it implies that food insecurity is proximally related to children’s wellbeing and development. Rather than targeting behavioral change, the target would expand to include a multi-phase and multi-component population health interventions beyond psychological supports to increase stability to vulnerable families. Furthermore, safety net programs that provide financial assistance to families (e.g., cash payments or subsidized housing, child care, or food) aim to alleviate the short-term effects of economic instability in families, particularly for children in low-income families; these programs can be difficult to access and retention can be low (Golden & Olivia, 2013). Policies and programs that assist families experiencing child food insecurity should be expanded to include increasing access to food options in communities through school food programs and resources, particularly for those that have a disproportionate number of children experiencing food insecurity.
Previous literature suggests that housing instability may contribute to a chaotic environment and increase children’s risk of developing problem behavior and learning problems (Deater-Deckard et al., 2009; Rumbold et al., 2012). In our study, although maternal depression increased the likelihood of housing instability, housing instability did not predict children’s problem behavior for internalizing or overall problem behavior. Several factors may have led to this finding. There is no standardized measure of housing instability, and the timing of and social support associated with housing instability may be an important aspect of its impact on child behavior. One study found that moves before age 4 increased problem behaviors at age 4, but moves between ages 5 and 8 did not produce the same effects (Taylor, Matthew, & Edwards, 2012). Mothers who are doubled-up report having more people to rely upon for childcare and other support, and this maternal social support and child supervision could provide a positive protective environment for the child (Letiecq, Anderson, & Koblinsky, 1998).
Although our findings stress the continued need for interventions that address hardships within the microsystems and macrosystems (e.g., food and housing insecurities), there remains a need for interventions that address maternal mental health. Additional efforts should be made to target maternal depression and enable access to treatment of depressive symptoms. In our study, maternal depression had a negative impact on future children’s problem behavior, regardless of food and housing status. This suggests that interventions that aim to improve children’s behavior outcomes should target maternal depression in families of varied economic circumstances. Because our findings found no differences by race/ethnicity, we suggest that interventions should aim to target all families, regardless of race/ethnicity. Although our study focused on the effect of maternal depression on economic instability, economic instability itself may increase the risk of maternal depression. Addressing economic circumstances may also lower the risk of maternal depression, thereby improving children’s health outcomes.
There are several limitations to this study. Attrition makes it a challenge to conclude definitively that our findings are representative of the baseline sample of the FFCWS, and it may have resulted in the large standard errors we identified when using the weighted data. With our modeling approach, we were unable to test the extent to which food insecurity and housing instability mediated the association between maternal depression at Year 3 and children’s problem behavior at Year 9. Although primary caregiver assessments of behavior may carry a bias, they were the only available assessments that were significantly associated with maternal depression when the children were age 3 (our previous work indicated that teacher and child self-assessments revealed no significant relationship between maternal depression status when children were age 3 and children’s behaviors at age 9). The CIDI-SF does not diagnosis an MDE, is not a lifetime measure of depression, and it does not make a distinction between respondents with major depressive disorder, MDEs that occur as part of a bipolar disorder, or MDEs that occur in the course of psychotic disorders. Despite this, it has been used widely in epidemiologic studies and is a useful tool to examine whether a mother experienced an MDE in the year prior to the Year 3 survey wave. The CFSS is a measure of food security for all children in a household, and we are unable to determine whether the focal children experienced food insecurity, but we feel food insecurity status can be cautiously generalized to all the children within a household.
This study advances our understanding of the associations between maternal depression, children’s problem behavior, food insecurity, and housing instability. Consistent with prior research, this study demonstrates a link between maternal depression and children’s problem behavior over time (Augustine & Crosnoe, 2010; Trapolini, McMahon, & Ungerer, 2007). This study adds that food insecurity and housing instability may mediate a portion of the association between maternal depression before children attend school and their problem behavior once they are in school. Findings suggest that interventions and government programs that are invested in promoting healthy child outcomes and family wellbeing among vulnerable families should focus on the mental health needs of the family as well as the food insecurities and housing instability families may face.
Acknowledgements and funding information
The Fragile Families and Child Wellbeing Study (FFCWS) is supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) of the National Institutes of Health (NIH) under award numbers R01HD36916, R01HD39135, and R01HD40421, as well as a consortium of private foundations. Dr. Guerrero was supported by the National Institute of General Medical Sciences (NIGMS) of the NIH under award numbers R25GM083252 and T32GM008692, as well as the Department of Medicine at the University of Wisconsin School of Medicine and Public Health.
Funding: The Fragile Families and Child Wellbeing Study (FFCWS) is supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) of the National Institutes of Health (NIH) under award numbers R01HD36916, R01HD39135, and R01HD40421, as well as a consortium of private foundations. Dr. Guerrero was supported by the National Institute of General Medical Sciences (NIGMS) of the NIH under award numbers R25GM083252 and T32GM008692, as well as the Department of Medicine at the University of Wisconsin School of Medicine and Public Health.
Footnotes
Publisher's Disclaimer: This Author Accepted Manuscript is a PDF file of an unedited peer-reviewed manuscript that has been accepted for publication but has not been copyedited or corrected. The official version of record that is published in the journal is kept up to date and so may therefore differ from this version.
Conflict of Interest: All authors declare that they have no conflict of interest.
Disclosures
The authors have no financial relationships relevant to this article to disclose.
Ethical approval: All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Informed consent: Informed consent was obtained from all individual participants included in the study.
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