Eating Behaviors and Skin Carotenoids in Pregnant Women: The Moderating Influence of Depressive Symptoms and Income.

: Fruit and vegetable (FV) intake is critical for optimizing pregnancy outcomes. Several socio-demographic factors are associated with FV intake, but less is known about behavioral and mental health correlates. Furthermore, existing knowledge is largely based on self-reported FV intake.

Intergenerational transmission of emotionally responsive parenting via parenting-related emotion and cognition.

Childhood experiences shape later parenting behaviors; however, few studies have examined the mechanisms that explain how parenting is transmitted across generations. The present study examined direct and indirect effects of mothers' remembered emotionally responsive parenting in childhood on maternal sensitivity to infant distress via parenting-related emotion, physiology, and cognition. Participants included 299 mothers ( = 29.

Biopsychosocial predictors of rapid weight gain from birth to 6 months.

Background: Childhood obesity remains a public health crisis and identification of unique prenatal and early infancy predictors of obesity risk are critically needed.

Objectives: We test a comprehensive biopsychosocial model of the predictors of rapid weight gain (RWG) in the first 6 months of life.

Methods: Two hundred and ninety nine pregnant women and their infants participated.

A causal machine-learning framework for studying policy impact on air pollution: a case study in COVID-19 lockdowns.

When studying the impact of policy interventions or natural experiments on air pollution, such as new environmental policies or the opening or closing of an industrial facility, careful statistical analysis is needed to separate causal changes from other confounding factors. Using COVID-19 lockdowns as a case study, we present a comprehensive framework for estimating and validating causal changes from such perturbations. We propose using flexible machine learning-based comparative interrupted time series (CITS) models for estimating such a causal effect.