Abstract

Early self-regulation is a foundation for lifelong wellness and can be shaped by the interplay among several vital exposures. In this study, we examined the emergence of reliable profiles based upon exposure to risk and protective factors in infancy, determined if sociodemographic resources predict profile membership, and determined if these profiles predict early regulatory behaviors in a sample of infants reared in low-income homes. Data were collected from a sample of primarily Black or White mother-infant dyads living in low-income homes in the Midwest (n = 222) during the infants’ first year of life (mean maternal age at enrollment: 26.29 years; range 18−43 years). Exposures included mother-infant interactions; father support; maternal depression, stress, and self-efficacy; home environment; food security; and breastfeeding duration. Sociodemographic resources included poverty status; economic hardship; maternal education, employment, and age; parental marital status; and infant race and sex. Infant regulatory behaviors were measured with the Infant Behavior Questionnaire-Revised Very Short Form effortful control subscale (mean age 11 months; range 8.5−14.3 months). Latent profile analysis was used to profile infants by risk and protective exposures. Regression was used to differentiate profiles by sociodemographic resources and to predict infant regulatory behavior from profiles. Three profiles emerged: low father support, good maternal mental health, and poor maternal mental health. A married mother, less economic hardship, and working mothers predicted infant exposure to good maternal mental health. Infant regulatory behavior was best when the infant was exposed to the good maternal mental health profile. Implications for future research are discussed.

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