Linking Activity, Nutrition, and Child Health (LAUNCH): protocol for a longitudinal cohort study of children as they develop from infancy to preschool age

Pate, Russell R.; Frongillo, Edward A.; Cordan, Kerry; Dowda, Marsha; McLain, Alexander C.; Torres, Myriam E.; Brown, William H.; Bucko, A; Shull, Emily R.

doi:10.1186/s12889-020-09023-7

Cited by 12 publications

(3 citation statements)

References 17 publications

(16 reference statements)

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“…Sin embargo, es la principal aportadora de morbilidad y mortalidad durante la niñez, después de la lactancia, y en ella se estructuran los cimientos fundamentales del desarrollo de la personalidad y se producen acontecimientos físicos y de formación de hábitos que influyen en la calidad de vida a lo largo de la existencia (Pate et al, 2020).…”

Section: C) Etapa Preescolarunclassified

Factores sociodemográficos y su relación con el diagnóstico nutricional del preescolar

López Jiménez,

Estrada Reyes,

Pérez Jaimes

2024

RILCO

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La importancia del desarrollo, el estado de nutrición y el diagnóstico nutricional en la etapa pediátrica conforme a todos los factores sociodemográficos que los rodean es de gran relevancia debido a que en esta edad es donde se estructura gran parte de sus costumbres y hábitos. Entre los 4 y 6 años los niños asumen sus patrones de comportamiento, base primordial para la toma de decisiones, gustos o disgustos. Objetivo: analizar la relación que existe entre los factores sociodemográficos y el estado de nutrición en pacientes pediátricos en etapa preescolar. Material y Métodos: tipo de estudio observacional analítico transversal prospectivo. La población fue de 98 la muestra con la que se trabajó se estableció de 69 seleccionados a través de un muestreo no probabilístico a conveniencia. Se utilizó una báscula digital marca Omron HBF-514 y un estadiómetro de pared con 2 metros de largo marca genérica, modelo JSM-SH-2M-1. Para analizar la relación se utilizó la prueba estadística de Chi cuadrada tomando como significativo un p valor menor a 0.05. Resultados: la principal remuneración económica de los menores, el promedio fue para eutrofia con un 44% de acuerdo a una remuneración por trabajo propio, en el mismo diagnóstico para remuneración por apoyo de pareja fue de 56%, y un 0% para apoyo familiar. Seguido del diagnóstico de sobrepeso donde hubo un 50% para trabajo propio y un 50% para remuneración por la pareja, sin ningún porcentaje en el caso de apoyo familiar. No se encontró relación estadísticamente significativa para estas variables (p=0.09). Conclusión: se identificó una prevalencia en el diagnóstico de sobrepeso y obesidad. Se observó para el diagnóstico de eutrofia un 44% para madres en relación de unión libre. Seguido del diagnóstico de sobrepeso donde un 43.8% para un estado civil casado, en el diagnóstico de obesidad un 35.7% para madres casadas.

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Section: C) Etapa Preescolarunclassified

Factores sociodemográficos y su relación con el diagnóstico nutricional del preescolar

López Jiménez,

Estrada Reyes,

Pérez Jaimes

2024

RILCO

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“…Participants were children and their biological mothers recruited from communities in South Carolina participating in the Linking Activity, Nutrition and Child Health (LAUNCH) study. 16 This study was approved by the Institutional Review Board of the University of South Carolina. The present study used data collected at the first 4 time points, when children were approximately 6, 12, 18 and 24 months old.…”

Section: Participants and Study Designmentioning

confidence: 99%

Longitudinal associations between sleep and weight status in infants and toddlers

et al. 2023

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Summary Background The limited research assessing relationships between sleep duration and weight status in infants and toddlers relies primarily on parent‐reported sleep and cross‐sectional studies. Objectives Examine whether average sleep duration and changes in sleep duration among 6‐24‐month‐old children were associated with weight‐for‐length z‐scores, and whether these associations varied by race/ethnicity, socioeconomic status and sex. Methods Data were collected when children were approximately 6, 12, 18 and 24 months old (N = 116). Sleep duration was measured using actigraphy. Weight‐for‐length z‐scores were calculated using children's height and weight. Physical activity was assessed using accelerometry. Diet was assessed using a feeding frequency questionnaire. Demographic characteristics included sex, race/ethnicity and socioeconomic status. Separate associations of between‐ and within‐person changes in sleep duration were estimated with weight‐for‐length z‐score treated as the outcome variable in linear mixed model analyses. Additional models were assessed that included interactions between sleep and demographic characteristics. Results At time points where children slept longer at night compared to their own average, their weight‐for‐length z‐score was lower. This relationship was attenuated by physical activity levels. Conclusions Increasing sleep duration can improve weight status outcomes in very young children who have low physical activity levels.

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“…CPARG’s role was to analyze data collected by public school personnel and provided to CPARG by the SC Department of Education. LAUNCH (Linking Activity, Nutrition, and Child Health) is a current and on-going observational study to examine the relationships among physical activity, nutrition, and weight status in children as they develop from infancy to preschool age [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

A Summary of One Research Team’s Contributions to Understanding Physical Activity Behavior in Children and Youth

Pate

Dishman

Dowda

et al. 2022

IJERPH

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Schools are well-positioned to provide physical activity opportunities to help youth achieve the recommended 60 or more daily minutes of moderate-to-vigorous physical activity. The Children’s Physical Activity Research Group (CPARG) at the University of South Carolina has focused on understanding physical activity in school-aged youth for 30+ years. The purpose of this article was to critically review (CPARG) contributions to the field in school settings and school-age youth. We reviewed 127 published CPARG articles from six research projects conducted between 1993–2019. The review was guided by questions in five categories: measurement of physical activity and its determinants, characteristics of physical activity behavior, correlates/determinants of physical activity, physical activity interventions, and race/ethnicity and physical activity. Results were summarized by question and synthesized across categories. CPARG contributions included assessing physical activity levels, patterns, forms, and contexts; identifying and measuring physical activity correlates/determinants; and conducting school-based physical activity interventions. Identifying multiple domains of physical activity determinants enables researchers and practitioners to select/design age-appropriate, valid, and reliable instruments to assess determinants. Focusing on determinants enables them to create effective physical activity interventions, environments, programs, and policies in schools. These efforts must address race/ethnicity differences, ensuring that measurement instruments and intervention strategies are culturally appropriate.

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Linking Activity, Nutrition, and Child Health (LAUNCH): protocol for a longitudinal cohort study of children as they develop from infancy to preschool age

Cited by 12 publications

References 17 publications

Factores sociodemográficos y su relación con el diagnóstico nutricional del preescolar

Factores sociodemográficos y su relación con el diagnóstico nutricional del preescolar

Longitudinal associations between sleep and weight status in infants and toddlers

A Summary of One Research Team’s Contributions to Understanding Physical Activity Behavior in Children and Youth

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