Longitudinal studies are warranted to clarify the influence crime has on health outcomes in children especially children representing multiple racial/ethnic backgrounds. To address this need, the current study examined whether neighborhood-level crime predicted changes in body mass index z (BMIz) scores in 373 White (W), 627 African American (AA), 1020 Hispanic (H), and 88 Asian (A), five to ten year-old boys and girls living in urban neighborhoods. Heights and weights were assessed at baseline (2012) and three-years later and used to calculate BMIz scores. Characteristics of zip codes where students lived during the three-year period were obtained at baseline from various sources. The Crime Risk Index (CRI) for each zip code was calculated using actual crime statistics. Multiple linear regression analyses were conducted to examine associations between baseline CRI and follow-up BMIz scores while controlling for other variables including BMIz at baseline. The CRI and BMIz scores differed significantly by race/ethnicity with the highest values for both noted in H. Regression analyses indicated that the CRI accounted for a significant percentage of the variance in follow-up BMIz scores in the overall sample. When race/ethnicity was considered, the CRI predicted follow-up BMIz scores only in W children. The CRI was not significantly associated with BMIz scores in the other races/ethnicities. The impact actual, neighborhood-level crime has on BMI in children is complex. Based on the existing evidence, considering actual crime as a primary target in obesity prevention would be premature especially in racial/ethnicity minority children living in urban areas.
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http://dx.doi.org/10.1016/j.pmedr.2018.09.012 | DOI Listing |
Pediatr Pulmonol
January 2025
Pulmonary and Sleep Medicine, DeVos Children's Hospital, Grand Rapids, Michigan, USA.
Objective: We prospectively monitored rates of change for growth, body mass and composition, muscle strength, and FEV1 in 6-11-year-olds initiating ETI therapy, comparing them to those of US reference children. We assessed factors potentially contributing to rate of change and report ranges of individual variation.
Methods: Body composition was assessed using bioelectrical impedance analysis (BIA), and rates of change were analyzed using linear mixed effects regression models.
Int J Eat Disord
January 2025
University of Wisconsin-Madison, University of Texas at Austin, Madison, Wisconsin, USA.
Objective: While weight restoration and/or stabilization is crucial for successful treatment and sustained recovery from restrictive eating disorders (EDs), it is often challenging to define an individual's expected healthy body weight. This paper introduces the TeenGrowth package and its web-based application, designed to calculate and forecast predicted body mass index (BMI) and weight across adolescence.
Method: TeenGrowth includes functions for data cleaning, predicted BMI z-score and BMI calculations, and growth forecasting.
Front Public Health
January 2025
Department of Kinesiology, Recreation, and Sport Studies, The University of Tennessee, Knoxville, TN, United States.
Introduction: While many randomized controlled trials (RCTs) have demonstrated the positive effects of school-based programs in reducing body fat among children and teenagers, there is no conclusive evidence to indicate that one approach is superior to another, largely due to the lack of direct and indirect comparisons. This study evaluated the relative effectiveness of various school-based obesity prevention initiatives in improving body mass index (BMI) among children and adolescents using network meta-analysis.
Methods: Searches included four databases focusing on articles published in English between the years 2002 and 2024.
J Sports Sci
December 2024
Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, Australia.
Obesity (Silver Spring)
January 2025
Epigenetics and Diabetes Unit, Department of Clinical Sciences in Malmö, Lund University Diabetes Centre, Scania University Hospital, Malmö, Sweden.
Objective: We investigated whether prepregnancy BMI (prePregBMI) in women with obesity was associated with differential DNA methylation (DNAm) in cord blood (CB) and whether DNAm may mediate the association of prePregBMI and early childhood BMI z score (BMIz).
Methods: From the Treatment of Obese Pregnant Women (TOP) study, 232 mother-child pairs were included. We conducted an epigenome-wide association study on prePregBMI and CB DNAm (450k array), followed by causal mediation analyses to test whether DNAm may mediate effects of prePregBMI on BMIz at age 36 months (BMIz36).
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