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Bridget Armstrong

Biographic Data

ID6255036
NAMEBridget Armstrong
GIVEN NAMESBridget
FAMILY NAMEArmstrong
SIGNATUREARMSTRONG B
AFFILIATIONSUniversity of South Carolina
ORCID0000-0002-1909-8170
VERIFIEDYes
TOTAL WORKS11
TOTAL CITATIONS0
WORKS AS AUTHOR11
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2012
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Differences in children’s food and beverage consumption between school and summer

    Open Access•Michael W Beets, Sarah Burkart et al.•ARTICLE•BMC Public Health•2025

    Children were less likely to report consumption of healthier foods/beverages and more likely to report consumption of unhealthier foods/beverages during summer compared to school. Attending structured programming during summer is associated with improved diet- suggesting such settings have potential to modify dietary intake

  • Summer youth work programs for health promotion

    Open Access•Aliye B Cepni, John Sloan et al.•ARTICLE•Children and Youth Services Review•2025•References: 2

  • Advancing Objective Mobile Device Use Measurement in Children Ages 6–11 Through Built-In Device Sensors

    Open Access•Olivia Finnegan, R Glenn Weaver et al.•ARTICLE•Human Behavior and Emerging…•2024

    Mobile devices (e.g., tablets and smartphones) have been rapidly integrated into the lives of children and have impacted how children engage with digital media. The portability of these devices allows for sporadic, on-demand interaction, reducing the accuracy of self-report estimates of mobile device use. Passive sensing applications objectively monitor time spent on a given device but are unable to identify who is using the device, a significant…

  • Barriers to Optimal Child Sleep among Families with Low Income

    Open Access•Elizabeth L Adams, Amanda Edgar et al.•ARTICLE•International Journal of…•2023

    This study gathered formative data on barriers to optimal child sleep to inform the development of a sleep intervention for parents of preschool-aged children in low-income households. Parents ( n = 15, age: 34 ± 8 years, household income: $30,000 ± 17,845/year) reporting difficulties with their child's sleep participated in this study. Mixed methods included an online survey and semi-structured phone interview. Items assessed barriers/facilitato…

  • Healthy Summer Learners

    Open Access•Lauren von Klinggraeff, Roddrick Dugger et al.•ARTICLE•Evaluation and Program Planning•2022

  • Impact of Virtual vs. In-Person School on Children Meeting the 24-h Movement Guidelines during the Covid-19 Pandemic

    Open Access•Christopher D Pfledderer, Michael W Beets et al.•ARTICLE•International Journal of…•2022

    The pandemic mitigation strategy of closing schools, while necessary, may have unintentionally impacted children's moderate-to-vigorous physical activity (MVPA), sleep, and time spent watching screens. In some locations, schools used hybrid attendance models, with some days during the week requiring in-person and others virtual attendance. This scenario offers an opportunity to evaluate the impact of attending in-person school on meeting the 24-h…

  • Differences by School Location in Summer and School Monthly Weight Change

    Open Access•Ethan T Hunt, Bridget Armstrong et al.•ARTICLE•International Journal of…•2021

    This is one of the first studies to examine summer weight gain by school location. Summer appears to impact children more negatively from urban schools when compared to their suburban and exurban counterparts

  • Distance as a Predictor of Treatment Attendance in a Family Based Pediatric Weight Management Program in Rural Areas

    Open Access•Page Klitzman, Page H Klitzman et al.•ARTICLE•The Journal of Rural Health•2015

    PURPOSE: The primary aim of this study was to determine whether demographic variables and distance to treatment were significant predictors of treatment attendance in a family based healthy lifestyle intervention program held in rural counties. METHODS: Two hundred forty-nine children aged 8-12 who were overweight or obese and their parents participated in a 21-session healthy lifestyle intervention. Measures were obtained at baseline, and attend…

  • Park Density Impacts Weight Change in a Behavioral Intervention for Overweight Rural Youth

    Bridget Armstrong, Crystal S Lim et al.•ARTICLE•Behavioral Medicine•2015

    Currently, over 30% of youth are overweight or obese. Limited access to parks and recreational facilities is related to physical inactivity and obesity. Environmental factors may also impact the effectiveness of pediatric weight management interventions. Most research concerning the built environment and child weight status has been conducted in urban settings, despite rural children being disproportionately overweight and obese compared to their…

  • Predictors of Maternal Encouragement to Diet

    Open Access•Bridget Armstrong, Julia K Carmody et al.•ARTICLE•Maternal and Child Health Journal•2013

  • Differentiating the effects of maternal and peer encouragement to diet on child weight control attitudes and behaviors

    Open Access•Bridget Armstrong, David M Janicke•ARTICLE•Appetite•2012•References: 38

No prominent works on this page.

  • Differentiating the effects of maternal and peer encouragement to diet on child weight control attitudes and behaviors

    Open Access•Bridget Armstrong, David M Janicke•ARTICLE•Appetite•2012•References: 38

  • Predictors of Maternal Encouragement to Diet

    Open Access•Bridget Armstrong, Julia K Carmody et al.•ARTICLE•Maternal and Child Health Journal•2013

  • Distance as a Predictor of Treatment Attendance in a Family Based Pediatric Weight Management Program in Rural Areas

    Open Access•Page Klitzman, Page H Klitzman et al.•ARTICLE•The Journal of Rural Health•2015

    PURPOSE: The primary aim of this study was to determine whether demographic variables and distance to treatment were significant predictors of treatment attendance in a family based healthy lifestyle intervention program held in rural counties. METHODS: Two hundred forty-nine children aged 8-12 who were overweight or obese and their parents participated in a 21-session healthy lifestyle intervention. Measures were obtained at baseline, and attend…

  • Park Density Impacts Weight Change in a Behavioral Intervention for Overweight Rural Youth

    Bridget Armstrong, Crystal S Lim et al.•ARTICLE•Behavioral Medicine•2015

    Currently, over 30% of youth are overweight or obese. Limited access to parks and recreational facilities is related to physical inactivity and obesity. Environmental factors may also impact the effectiveness of pediatric weight management interventions. Most research concerning the built environment and child weight status has been conducted in urban settings, despite rural children being disproportionately overweight and obese compared to their…

  • Differences by School Location in Summer and School Monthly Weight Change

    Open Access•Ethan T Hunt, Bridget Armstrong et al.•ARTICLE•International Journal of…•2021

    This is one of the first studies to examine summer weight gain by school location. Summer appears to impact children more negatively from urban schools when compared to their suburban and exurban counterparts

  • Healthy Summer Learners

    Open Access•Lauren von Klinggraeff, Roddrick Dugger et al.•ARTICLE•Evaluation and Program Planning•2022

  • Impact of Virtual vs. In-Person School on Children Meeting the 24-h Movement Guidelines during the Covid-19 Pandemic

    Open Access•Christopher D Pfledderer, Michael W Beets et al.•ARTICLE•International Journal of…•2022

    The pandemic mitigation strategy of closing schools, while necessary, may have unintentionally impacted children's moderate-to-vigorous physical activity (MVPA), sleep, and time spent watching screens. In some locations, schools used hybrid attendance models, with some days during the week requiring in-person and others virtual attendance. This scenario offers an opportunity to evaluate the impact of attending in-person school on meeting the 24-h…

  • Barriers to Optimal Child Sleep among Families with Low Income

    Open Access•Elizabeth L Adams, Amanda Edgar et al.•ARTICLE•International Journal of…•2023

    This study gathered formative data on barriers to optimal child sleep to inform the development of a sleep intervention for parents of preschool-aged children in low-income households. Parents ( n = 15, age: 34 ± 8 years, household income: $30,000 ± 17,845/year) reporting difficulties with their child's sleep participated in this study. Mixed methods included an online survey and semi-structured phone interview. Items assessed barriers/facilitato…

  • Advancing Objective Mobile Device Use Measurement in Children Ages 6–11 Through Built-In Device Sensors

    Open Access•Olivia Finnegan, R Glenn Weaver et al.•ARTICLE•Human Behavior and Emerging…•2024

    Mobile devices (e.g., tablets and smartphones) have been rapidly integrated into the lives of children and have impacted how children engage with digital media. The portability of these devices allows for sporadic, on-demand interaction, reducing the accuracy of self-report estimates of mobile device use. Passive sensing applications objectively monitor time spent on a given device but are unable to identify who is using the device, a significant…

  • Differences in children’s food and beverage consumption between school and summer

    Open Access•Michael W Beets, Sarah Burkart et al.•ARTICLE•BMC Public Health•2025

    Children were less likely to report consumption of healthier foods/beverages and more likely to report consumption of unhealthier foods/beverages during summer compared to school. Attending structured programming during summer is associated with improved diet- suggesting such settings have potential to modify dietary intake

  • Summer youth work programs for health promotion

    Open Access•Aliye B Cepni, John Sloan et al.•ARTICLE•Children and Youth Services Review•2025•References: 2

Medicine (9 works) · Obesity, Physical Activity, Diet (8 works) · Psychology (7 works) · Demography (5 works) · Demography (4 works) · Environmental health (4 works) · Overweight (4 works) · Attendance (3 works) · Developmental psychology (3 works) · Endocrinology (3 works)

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