Association between 24-hour movement behaviors and adiposity in children and adolescents: A compositional data meta-analysis.

Purpose: To quantitatively synthesize published evidence on the association between 24-hour movement behavior composition with adiposity in children and adolescents aged 3-18 years.

Methods: Systematic literature searches were conducted in five electronic databases to identify papers published between January 2015 and January 2024. A machine learning-assisted systematic review was conducted to identify studies applying compositional data analysis to examine the association between 24-hour movement behaviors and adiposity in children and youth.

Machine learning derived physical activity in preschool children with developmental coordination disorder.

Aim: To compare the device-measured physical activity behaviours of preschool children with typical motor development to those with probable developmental coordination disorder (pDCD) and at risk for developmental coordination disorder (DCDr).

Method: A total of 497 preschool children (4-5 years) in the Coordination and Activity Tracking in CHildren (CATCH) study completed repeated motor assessments and wore an ActiGraph GT3X on the right hip at baseline for 1 week. We calculated physical activity metrics from raw accelerometer data using a validated random forest classification machine learning model for preschool-age children.

Physical Activity Outcomes of a Culturally Tailored, Father-Focused, and Family-Centered Health Promotion Program for Mexican-Heritage Families: (Make Room for Daddy).

Despite the health benefits of physical activity (PA), many individuals do not meet PA recommendations. Family-centered PA approaches, particularly active engagement by Mexican-heritage fathers, may support family PA. This study reports PA outcomes of a culturally tailored, father-focused, and family-centered, program for Mexican-heritage families.

Pregnancy-Related Mortality Due to Cardiovascular Conditions: Maternal Mortality Review Committees in 32 U.S. States, 2017 to 2019.

Background: Cardiomyopathy (CM) and other cardiovascular conditions (OCVs) are among the most frequent causes of pregnancy-related death in the United States.

Objectives: The purpose of this paper was to report demographic and clinical characteristics, preventability, contributing factors, and Maternal Mortality Review Committee (MMRC) recommendations among pregnancy-related deaths with underlying causes of CM, OCVs, and the 2 combined (cardiovascular conditions, CV).

Methods: We analyzed pregnancy-related death data from MMRCs in 32 states, occurring during 2017 to 2019, with MMRC-determined underlying causes of CVs.