Garrett T. Pace

Objective: This study demonstrates how machine learning, specifically random forest, can advance family science, particularly in studying father–child relationships.Background: Fatherhood research faces challenges with fathers' recruitment and retention, complex living arrangements, and lower response rates compared to mothers. Machine learning, a tool of artificial intelligence, effectively examines large and complex data sets, handles missing data, and identifies relationships between predictors and outcomes. Thus, machine learning can help mitigate the methodological challenges of studying fathers and father–child relationships.Method: We used random forest to predict adolescent‐reported father–adolescent closeness in the Future of Families and Child Wellbeing Study (n = 2,927), using 131 predictors measured during the first decade of childhood.Results: Fathers' residential status with the child was the strongest predictor of father–adolescent closeness. Using random forest results to inform variable selection, we demonstrated how random forest can enhance the development and performance metrics of regression models.Conclusion: This study highlights the utility of random forest for studying complex questions, such as how family contexts predict adolescents' perceptions of their father–child relationships.Implications: Random forest is a feasible and useful approach for applied family scientists to incorporate artificial intelligence into their research, moving the field in new and meaningful directions.

Objectives To test associations between 11 caregiver aggressive and non-aggressive discipline behaviours and outcomes (aggression, distraction and prosocial peer relations) of children under 5 years in low-income and middle-income countries (LMICs). Participants Data came from the fourth (2009–2013) and fifth (2012–2017) rounds of the UNICEF Multiple Indicator Cluster Surveys. Analyses were restricted to households with children under 5 years, leaving a sample of 229 465 respondents across 60 LMICs. Data were analysed using Bayesian multilevel logistic regression. Results Verbal reasoning (80%) and shouting (66%) were the most common parental discipline behaviours towards young children. Psychological and physical aggression were associated with higher child aggression and distraction. Compared with not using verbal reasoning, verbal reasoning was associated with lower odds of aggression (OR)=0.92, 95% credible interval (CI)=0.86 to 0.99) and higher odds of prosocial peer relations (OR=1.30, 95% CI=1.20 to 1.42). Taking away privileges was associated with higher odds of distraction (OR=1.09, 95% CI=1.03 to 1.15) and lower odds of prosocial peer relations (OR=0.92, 95% CI=0.87 to 0.98). Giving the child something else to do was associated with higher odds of distraction (OR=1.06, 95% CI=1.01 to 1.12). The results indicated country-level variation in the associations between parenting behaviours and child socioemotional outcomes. Conclusions Psychological and physical aggression were disadvantageous for children’s socioemotional development across countries. Only verbal reasoning was associated with positive child socioemotional development. No form of psychological aggression or physical aggression benefited child socioemotional development in any country. Greater emphasis should be dedicated to reducing parental use of psychological and physical aggression across cultural contexts.

The current study applied a family systems approach to examine dyadic parental risk factors linked with mother–father co-involved physical abuse, neglect, sexual abuse, and emotional abuse. Parental substance use, mental health problems, disability and medical conditions, inadequate housing, economic insecurity, intimate partner violence, and prior maltreatment history were investigated as key risk factors at the dyadic parental level. Logistic regression analysis was conducted using national child welfare administrative data from the National Child Abuse and Neglect Data System. The results showed differential associations between risk factors and four child maltreatment types: physical abuse, neglect, emotional abuse, and sexual abuse. Intimate partner violence was associated with higher odds of mother–father co-involved neglect and emotional abuse. Parental substance use, inadequate housing, and prior maltreatment history were all associated with higher odds of mother–father co-involved neglect, but lower odds of physical abuse. Parental disability and medical conditions were associated with higher odds of mother-father co-involved sexual abuse, whereas parental substance use was associated with lower odds of sexual abuse. Implications include more nuanced ways of addressing multiple risk factors within the family to prevent future occurrences of child maltreatment involving both mothers and fathers.

In the United States, childcare subsidies are available to low-income working parents to assist with the cost of childcare. The subsidies are provided as block grants to states, which allows for a great deal of flexibility in the specific policies guiding their distribution. Prior research has found a protective link between childcare subsidies and child maltreatment, but the variations in policies have been much less explored. The current study used longitudinal administrative child welfare data from 10 years (2009–2019) linked with state policies regarding the income eligibility requirements of states to examine the impact of these policies on child abuse and neglect among young children (0–5); early school-age children (6–12), and older children (13–17). Using multiple regression and controlling for state demographic characteristics, the study found that more generous policies surrounding income eligibility were related to lower rates of child abuse and neglect investigations at the state level.

Gender inequality perpetuates women’s economic insecurity and a culture of violence. Parental distress caused by economic pressure may increase violence against children. High levels of gender inequality and interpersonal violence may contribute to higher levels of physical abuse. Using an ecological perspective, this study examines the association of country-level gender inequality and household-level parental physical abuse, and the moderating role of child gender in this association in low- and middle-income countries. We used data on over 420,000 households from the UNICEF Multiple Indicator Cluster Surveys and country-level indicators from the United Nations Development Program Human Development data. We employed multilevel logistic regression to examine the association between gender inequality with the log-odds of physical abuse after accounting for country- and individual-level covariates. In order to more fully explore our results, we calculated predicted probabilities of abuse for several scenarios. The results indicated that higher levels of gender inequality were associated with higher probabilities of physical abuse. This association was stronger for female children than for male children. The probabilities of abuse by child gender were indistinguishable, although rates of physical abuse converged as gender inequality increased, at a statistically marginal level. These findings indicate that macro-level interventions that reduce gender inequality are necessary to prevent and reduce child physical abuse.

There are multiple components of a public health approach for preventing child maltreatment. One of these components is the question of who to intervene with. Fathers are an under-targeted and under-studied group for child maltreatment prevention. In this conceptual article, we describe a public health approach for intervening with fathers. Acknowledging financial stress as a key risk factor for child maltreatment among fathers, we explore two policy interventions that aim to increase economic support for families during the early years of a child’s life: paid family leave and child care subsidies. During the weeks following the child’s birth, paid family leave can promote child-father bonding and enable fathers to engage in more caregiving during a critical family transition. After paid family leave ends, child care subsidies can make child care affordable for families with low income, thereby promoting parents’ employment and earnings. We conclude by highlighting ways in which fathers can take an active role in preventing child maltreatment.