We compared language comprehension and production across the second year of life in children of clinically depressed mothers who later remitted with children of nondepressed mothers. Altogether, 157 mother–child dyads participated: 46 with mothers diagnosed at infant age 5 months as having major, minor, or other depressive disorders who fully remitted by 15 and 24 months and 111 with nondepressed mothers. The majority of mothers (mean [M] age = 32.8 years) were married, European American, and college educated. The groups did not differ on most sociodemographic indices, and analyses controlled for residual group differences in maternal education and child birth order. Children of early clinically depressed mothers understood fewer words at 15 months (by maternal report on the MacArthur Communicative Development Inventory [MCDI]) and 24 months (by experimenter-administered Reynell Developmental Language Scales [RDLS]) than children of nondepressed mothers. Children of nondepressed mothers increased in language comprehension from 15 to 24 months, whereas children of early clinically depressed mothers did not. Aggregating over 15 and 24 months, nondepressed mothers reported that their children expressed more words than clinically depressed mothers reported their children expressed; experimenter assessment revealed no difference between the two groups. Maternal clinical depression in the first 5 months is related to reduced language comprehension and production during the second year of life even in children whose mothers remit, indicating an early experience effect of maternal clinical depression in muting child language development. Future research should identify the mechanisms by which this early experience effect occurs to inform targeted early preventative interventions for at-risk children.

Context: In the United States, racial/ethnic minorities account for disproportionate disease and death from type 2 diabetes, hypertension, and obesity; however, interventions with measured efficacy in comparative effectiveness research are often not adopted or used widely in those communities. Objective: To assess implementation and effects of comparative effectiveness research–proven interventions translated for minority communities. Design: Mixed-method assessment with pretest–posttest single-group evaluation design. Setting: US Department of Health and Human Services, Office of Minority Health, research contractor, and advisory board; health centers, including a federally qualified community health center in Chicago, Illinois; and public housing facilities for seniors in Houston, Texas. Participants: A total of 97 black, Hispanic, and Asian participants with any combination of health care provider–diagnosed type 2 diabetes, hypertension, or obesity. Interventions: Virtual training institutes where intervention staff learned cultural competency methods of adapting effective interventions. Health educators delivered the Health Empowerment Lifestyle Program (HELP) in Chicago; community pharmacists delivered the MyRx Medication Adherence Program in Houston. Main Outcome Measures: Participation rates, satisfaction with interventions during January to April 2013, and pre- to postintervention changes in knowledge, diet, and clinical outcomes were analyzed through July 2013. Results: In Chicago, 38 patients experienced statistically significant reductions in hemoglobin A_1c and systolic blood pressure, increased knowledge of hypertension management, and improved dietary behaviors. In Houston, 38 subsidized housing residents had statistically nonsignificant improvements in knowledge of self-management and adherence to medication for diabetes and hypertension but high levels of participation in pharmacist home visits and group education classes. Conclusion: Adaptation, adoption, and implementation of HELP and MyRx demonstrated important postintervention changes among racial/ethnic participants in Chicago and Houston. The communities faced similar implementation challenges across settings, targets of change, and cities. Available resources were insufficient to sustain benefits with measurable impact on racial/ethnic disparities beyond the study period. Results suggest the need for implementation studies of longer duration, greater power, and salience to policies and programs that can sustain longterm interventions on a community-wide scale.

Postpartum Depression (PPD), a condition that affects up to 15% of mothers in high-income countries, reduces attention to the needs of the child and is among the first causes of infanticide. PPD is usually identified using self-report measures and therefore it is possible that mothers are unwilling to report PPD because of a social desirability bias. Previous studies have highlighted the presence of significant differences in the acoustical properties of the vocalizations of infants of depressed and healthy mothers, suggesting that the mothers’ behavior can induce changes in infants’ vocalizations. In this study, cry episodes of infants (N = 56, 157.4 days ± 8.5, 62% firstborn) of depressed (N = 29) and non-depressed (N = 27) mothers (mean age = 31.1 years ± 3.9) are analyzed to investigate the possibility that a cloud-based machine learning model can identify PPD in mothers from the acoustical properties of their infants’ vocalizations. Acoustic features (fundamental frequency, first four formants, and intensity) are first extracted from recordings of crying infants, then cloud-based artificial intelligence models are employed to identify maternal depression versus non-depression from estimated features. The trained model shows that commonly adopted acoustical features can be successfully used to identify postpartum depressed mothers with high accuracy (89.5%).

A growing body of evidence on the inequitable distribution of adverse childhood experiences (ACEs; e.g., Merrick et al., 2018) and their impact throughout the life-course (e.g., Metzler et al., 2017) has highlighted the need to focus on their underlying causes (Ellis & Dietz, 2017). This increasing recognition of ACEs as a preventable public health problem (Bellis et al., 2019) with roots in the community environment has spurred collective responses (e.g., Srivastav et al., 2020), including the emergence of multisector, community-based networks organized to address ACEs and trauma and foster resilience, or "ATR networks" (Jones et al., 2017). ATR networks provide a platform for psychologists to contribute their theoretical, clinical, and research skills to community-level ACEs prevention and mitigation efforts collectively designed by a diverse group comprising professionals from a range of disciplines, advocates, grass-roots leaders, and community residents. Using evidence from an evaluation of Mobilizing Action for Resilient Communities, a recent multisite initiative of 14 ATR networks, this article describes the structure, operation, and accomplishments of these networks to make a case for the ways in which psychologists, working with other professionals and grassroots leaders, can contribute to these efforts. Findings highlight how sectors in which psychologists typically work, play pivotal roles in ATR networks, the ways in which network members in these sectors both influence and are influenced by the networks, and the types of outcomes achieved by the networks within these sectors. Suggestions are offered for the roles psychologists can play to enhance network efforts.