Publications by authors named "Traci A Bekelman"

Introduction: This study prospectively evaluated the association of household food insecurity and acute care costs and productivity loss in youth and young adults (YYA) with type 1 and type 2 diabetes.

Methods: This observational cohort study included 1,256 YYA with type 1 and type 2 diabetes from the SEARCH for Diabetes in Youth Food Security Study with data collected at three time points between 2015-2022. Both household food insecurity (HFI, measured using the US Household Food Security Survey Module) and costs (measured using survey responses on utilization and productivity losses) were self-reported by young adult participants or caregivers of adolescents.

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Purpose: Effective measurement of positive child health is critical in improving public health. A proposed measure of positive health, a positive child health index (PCHI), is based on how many of 11 specific physical, developmental, and mental health conditions a child has (ranging from 0 to 11). Accepted measures of positive health, Patient-Reported Outcome Measurement Information System (PROMIS®) measures of global health, meaning and purpose, and life satisfaction, are based on child and caregiver perceptions.

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Purpose: The Environmental influences on Child Health Outcomes (ECHO) Cohort has enrolled over 60,000 children to examine how early environmental factors (broadly defined) are associated with key child health outcomes. The ECHO Cohort may be well-positioned to contribute to our understanding of rural environments and contexts, which has implications for rural health disparities research. The present study examined the outcome of child obesity to not only illustrate the suitability of ECHO Cohort data for these purposes but also determine how various definitions of rural and urban populations impact the presentation of findings and their interpretation.

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  • The study investigates how prenatal dietary quality, assessed through the Healthy Eating Index (HEI) and Empirical Dietary Inflammatory Pattern (EDIP), impacts infant sizes at birth and growth patterns up to age 24 months.
  • Researchers analyzed data from 2854 parent-child pairs participating in a long-term health program, highlighting the diverse racial and ethnic backgrounds of the participants.
  • Results revealed that a healthier diet during pregnancy (high HEI score) is linked to lower likelihoods of having large infants at birth and experiencing rapid growth, suggesting that dietary choices may play a vital role in combating obesity later in life.
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Obesity is a pervasive public health problem that causes debilitating complications across the life course. One opportunity for preventing the onset of obesity is to focus on its social determinants. Socioeconomic status (SES), which includes factors such as income, educational attainment, occupational prestige, and access to resources, is a key determinant of obesity.

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  • Evidence shows that living near green spaces can benefit mental health, but research on their impact on children's early mental health symptoms is limited.
  • The study aims to investigate how residential green space is associated with early internalizing (like anxiety and depression) and externalizing (like aggression and rule-breaking) symptoms in children.
  • It uses data from a cohort of US children born between 2007 and 2013, analyzing their mental health outcomes in relation to green space exposure measured through satellite data, while considering various socioeconomic and demographic factors.
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Background: Research and clinical practice rely heavily on caregiver-report measures, such as the Child Behavior Checklist 1.5-5 (CBCL/1.5-5), to gather information about early childhood behavior problems and to screen for child psychopathology.

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Background: Longitudinal measures of diet spanning pregnancy through adolescence are needed from a large, diverse sample to advance research on the effect of early-life nutrition on child health. The Environmental influences on Child Health Outcomes (ECHO) Program, which includes 69 cohorts, >33,000 pregnancies, and >31,000 children in its first 7-y cycle, provides such data, now publicly available.

Objectives: This study aimed to describe dietary intake data available in the ECHO Program as of 31 August, 2022 (end of year 6 of Cycle 1) from pregnancy through adolescence, including estimated sample sizes, and to highlight the potential for future analyses of nutrition and child health.

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  • A study analyzed how different factors affected children's and caregivers' experiences during the COVID-19 pandemic using data from a large, diverse group of participants across the US and Puerto Rico.
  • The research looked at variables like caregiver education level, child age, and whether families lived in urban or rural areas, examining outcomes related to COVID-19 infections, school and healthcare disruptions, financial struggles, and remote work.
  • Results showed that caregivers with less education faced more difficulties with accessing tests, lower chances of working remotely, and greater food access issues compared to those with higher education levels.
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Objective: To examine the additive or moderating influences of caregiver COVID-19-related stress, social support, and discrimination on children's behavior problems across racially diverse populations.

Method: In this Environmental influences on Child Health Outcomes (ECHO) cohort study (N = 1,999 caregiver/child pairs), we operationalized caregiver COVID-19-related stress in 2 ways: first, as the number of stressors (eg, financial concerns, social distancing); and second, as the level of pandemic-related traumatic stress symptoms reported via questionnaires administered between April 2020 and August 2022. At the same assessment visit, caregivers also reported their current levels of discrimination, and a subsample (n = 968) reported their emotional and instrumental support.

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Introduction: Despite widespread recognition among public health experts that childhood sugar-sweetened beverage consumption should be reduced, doing so has proven to be a challenge. An agent-based model of early childhood sugar-sweetened beverage consumption was applied to data from three high-quality, longitudinal cohort studies to gain insight into potentially effective intervention strategies across contexts.

Methods: From 2021 to 2023, a single agent-based model design was applied to data sets derived from three separate cohorts of children followed from infancy to childhood, with very different populations and environments (participants recruited in 1999-2002; 2003-2010; and 2009-2014).

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Objective: Ongoing pediatric cohort studies offer opportunities to investigate the impact of the COVID-19 pandemic on children's health. With well-characterized data from tens of thousands of US children, the Environmental influences on Child Health Outcomes (ECHO) Program offers such an opportunity.

Methods: ECHO enrolled children and their caregivers from community- and clinic-based pediatric cohort studies.

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  • The study investigates how children's screen time changed during the COVID-19 pandemic, comparing periods before and during lockdowns from July 2019 to August 2021.
  • It involved a longitudinal cohort of 228 children aged 4 to 12 years, analyzing data on their screen time via the ECHO Child Media Use questionnaire across three pandemic-related periods.
  • Results showed a significant increase in total screen time, rising from an average of 4.4 hours per day before the pandemic to increases of 1.75 hours and 1.11 hours during the first and second pandemic periods, respectively.
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Purpose: Assess family-level factors associated with childhood immunization schedule adherence.

Design: Prospective cohort; Setting; The Healthy Start study enrolled 1,410 pregnant women in Denver, Colorado 2009-2014.

Subjects: Children with available vaccination data in medical records (0-6 years old).

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Background: Sleep in childhood is affected by behavioral, environmental, and parental factors. We propose that these factors were altered during the COVID-19 pandemic. This study investigates sleep habit changes during the pandemic in 528 children 4-12 years old in the US, leveraging data from the Environmental Influences on Child Health Outcomes (ECHO) Program.

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This longitudinal study compared children’s health behaviors before the COVID-19 pandemic versus during the pandemic. This analysis examined the association between individual-level characteristics and health behavior change. Four prospective cohort studies in the Environmental influences on Child Health Outcomes (ECHO) Program contributed data.

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Societal changes during the COVID-19 pandemic may affect children's health behaviors and exacerbate disparities. This study aimed to describe children's health behaviors during the COVID-19 pandemic, how they vary by sociodemographic characteristics, and the extent to which parent coping strategies mitigate the impact of pandemic-related financial strain on these behaviors. This study used pooled data from 50 cohorts in the Environmental influences on Child Health Outcomes Program.

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  • The study aimed to assess if children gained more weight during the COVID-19 pandemic compared to before it, focusing on changes in body mass index (BMI).
  • Researchers analyzed the BMI data of 1,996 children aged 2 to 19 from various pediatric groups across the U.S., taking various factors into account to ensure accurate results.
  • Findings revealed that children's BMI increased more during the pandemic, especially among those with obesity and lower-income households, which raises concerns about public health and health equity.
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Objectives: The family stress model proposes economic hardship results in caregiver distress and relational problems, which negatively impact youth outcomes. We extend this model to evaluate the impact of coronavirus disease 2019 pandemic-related family hardships on caregiver and youth stress, and, in turn, youth's psychological well-being. We also investigate how social supports moderate this relationship.

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Objective: The aim of this study was to examine whether nutrient intakes in childhood are associated with abdominal and hepatic fat depots later in adolescence.

Methods: Using data from 302 participants in the longitudinal Exploring Perinatal Outcomes among CHildren (EPOCH) study, energy partition and nutrient density models were constructed to examine associations of nutrient intakes in childhood (~10 years of age), assessed by food frequency questionnaire, with abdominal subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT), and hepatic fat in adolescence (~16 years of age).

Results: In energy partition models (energy intake not held constant), total, monounsaturated, and polyunsaturated fat intakes in childhood were associated with higher SAT in adolescence (β [95% CI]: 8.

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Background: Accuracy and participant burden are two key considerations in the selection of a dietary assessment tool for assessing children's full-day dietary intake.

Objective: The aim of this study was to identify barriers experienced by parents and burden when using two technology-based measures of dietary intake to report their child's intake: the Remote Food Photography Method (RFPM) and the Automated Self-Administered 24-hour Dietary Assessment Tool (ASA24).

Design: Qualitative, semistructured, focus groups were conducted with parents who served as proxy reporters of their child's dietary intake using the two different dietary assessment methods (ie, RFPM and ASA24) 1 week apart.

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Introduction: Intake of processed meats has been associated with serious health problems that are common among women. In 2015, the International Agency for Research on Cancer classified processed meats as human carcinogens, associated specifically with colon cancer. The increase in intake of processed meats, which are a low-cost source of dietary protein, varies by socioeconomic status (SES) and can impact chronic disease incidence.

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Objective: The aim of this study was to describe the association of individual-level characteristics (sex, race/ethnicity, birth weight, maternal education) with child BMI within each US Census region and variation in child BMI by region.

Methods: This study used pooled data from 25 prospective cohort studies. Region of residence (Northeast, Midwest, South, West) was based on residential zip codes.

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Background: In the United States, one in five adolescents are obese. Index-based dietary patterns are measures of the overall diet that have the potential to serve as valuable obesity risk stratification tools. However, little is known about the association between adherence to index-based dietary patterns in childhood and BMI during the transition from childhood to adolescence.

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