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Background: National child obesity rates continue to climb. While neighborhood factors are known to influence childhood weight, more work is needed to further our understanding of these relationships and inform intervention and policy approaches reflective of complex real-world contexts., Methods: To evaluate the associations between neighborhood components and childhood overweight/obesity, we analyzed sequential, cross-sectional data from the National Survey of Children's Health collected annually between 2016 and 2021. To characterize the complexity of children's neighborhood environments, several interrelated neighborhood factors were examined: amenities, detractions, support, and safety. We used ordinal logistic regression models to evaluate the associations between these exposures of interest and childhood weight status, adjusting for potential confounders., Results: Our analytic sample contained 96,858 children representing a weighted population of 28,228,799 children ages 10-17 years. Child weight status was healthy in 66.5%, overweight in 16.8%, and obese in 17.2%. All four neighborhood factors were associated with child weight status. The odds of overweight or obesity generally increased with a decreasing number of amenities and increasing number of detractions, with the highest adjusted odds ratio seen with no amenities and all three possible detractions (1.71; 95% confidence interval [1.31, 2.11])., Conclusions: Multiple factors within a child's neighborhood environment were associated with child weight status in this sample representative of the US population aged 10-17 years. This suggests the need for future research into how policies and programs can support multiple components of a healthy neighborhood environment simultaneously to reduce rates of childhood overweight/obesity., Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Ellen McMahon reports financial support was provided by National Institute of Diabetes and Digestive and Kidney Diseases., (Copyright © 2024 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.)

Objective: This study aimed to describe caregiver satisfaction with physician communication over the first two years of life and examine differences by preferred language and the relationship to physician continuity., Methods: Longitudinal data were collected at well visits (2 months to 2 years) from participants in a randomized controlled trial to prevent childhood obesity. Satisfaction with communication was assessed using the validated Communication Assessment Tool (CAT) questionnaire. Changes in the odds of optimal scores were estimated in mixed-effects logistic regression models to evaluate the associations between satisfaction over time and language, interpreter use, and physician continuity., Results: Of 865 caregivers, 35% were Spanish-speaking. Spanish-speaking caregivers without interpreters had lower odds of an optimal satisfaction score compared with English speakers during the first 2 years, beginning at 2 months [OR 0.64 (95% CI: 0.43, 0.95)]. There was no significant difference in satisfaction between English-speaking caregivers and Spanish-speaking caregivers with an interpreter. The odds of optimal satisfaction scores increased over time for both language groups. For both language groups, odds of an optimal satisfaction score decreased each time a new physician was seen for a visit [OR 0.82 (95% CI: 0.69, 0.97)]., Conclusion: Caregiver satisfaction with physician communication improves over the first two years of well-child visits for both English- and Spanish-speakers. A loss of physician continuity over time was also associated with lower satisfaction. Future interventions to ameliorate communication disparities should ensure adequate interpreter use for primarily Spanish-speaking patients and address continuity issues to improve communication satisfaction., Competing Interests: Declaration of Competing Interest The authors have no conflicts of interest to disclose., (Copyright © 2024 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.)

Background: While several studies examine the relationship between screen time and dietary practices in children and teenagers, there is limited research in toddlers. This study evaluates the association between television (TV) exposure and dietary practices in 2-year-old children., Methods: We conducted a cross-sectional, secondary data analysis from the Greenlight Intervention Study. Toddlers' daily TV watching time, mealtime TV, and dietary practices were assessed by caregiver report at the 24-month well-child visit. Separate regression models were used and adjusted for sociodemographic/household characteristics and clinic site., Results: Five hundred and thirty-two toddlers were included (51% Latino; 30% non-Latino Black; 59% ≤$20,000 annual household income). Median daily TV watching time was 42 minutes (interquartile range: 25, 60); 25% reported the TV was "usually on" during mealtimes. After adjustment, toddlers who watched more TV daily had higher odds of consuming sugar-sweetened beverages, fast food, and more junk food; those watching less TV had higher odds of consuming more fruits/vegetables. Those with the TV "usually on" during mealtimes were more likely to consume sugar-sweetened beverages (aOR 3.72 [95% confidence interval {CI} 2.16-6.43]), fast food (aOR 2.83 [95%CI 1.54-5.20]), and more junk food (aOR 4.25 [95%CI 2.71-6.65])., Conclusions: Among toddlers from primarily minoritized populations and of lower socioeconomic status, those who watched more TV daily and usually had the TV on during meals had significantly less healthy dietary practices, even after adjusting for known covariates. This study supports the current American Academy of Pediatrics screen time guidelines and underscores the importance of early counseling on general and mealtime TV., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.)

Objective: Infants with high birthweight have increased risk for adverse outcomes at birth and across childhood. Prenatal risks to healthy food access may increase odds of high birthweight. We tested whether having a poor neighborhood food environment and/or food insecurity had associations with high birthweight., Methods: We analyzed cross-sectional baseline data in Greenlight Plus, an obesity prevention trial across six US cities (n = 787), which included newborns with a gestational age greater than 34 weeks and a birthweight greater than 2500 g. We assessed neighborhood food environment using the Place-Based Survey and food insecurity using the US Household Food Security Module. We performed logistic regression analyses to assess the individual and additive effects of risk factors on high birthweight. We adjusted for potential confounders: infant sex, race, ethnicity, gestational age, birthing parent age, education, income, and study site., Results: Thirty-four percent of birthing parents reported poor neighborhood food environment and/or food insecurity. Compared to those without food insecurity, food insecure families had greater odds of delivering an infant with high birthweight (adjusted odds ratios [aOR] 1.96, 95% confidence intervals [CI]: 1.01, 3.82) after adjusting for poor neighborhood food environment, which was not associated with high birthweight (aOR 1.35, 95% CI: 0.78, 2.34). Each additional risk to healthy food access was associated with a 56% (95% CI: 4%-132%) increase in high birthweight odds., Conclusions: Prenatal risks to healthy food access may increase high infant birthweight odds. Future studies designed to measure neighborhood factors should examine infant birthweight outcomes in the context of prenatal social determinants of health., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.)

Background: The Nova classification system categorizes foods into 4 processing levels, including ultraprocessed foods (UPFs). Consumption of UPFs is extensive in the United States, and high UPF consumption is associated with chronic disease risk. A reliable and valid method to Nova-categorize foods would advance understanding of UPF consumption and its relationship to health outcomes., Objectives: Test the reliability and validity of training coders and assigning Nova categories to individual foods collected via 24-h dietary recalls., Design: A secondary analysis of 24-h dietary recalls from 610 children who participated in a randomized controlled trial and were 3-5 y old at baseline was conducted. The Nutrition Data System for Research (NDSR) software was used to collect 2-3 dietary recalls at baseline and yearly for 3 y. Trained and certified coder pairs independently categorized foods into one of 4 Nova categories (minimally processed, processed culinary ingredients, processed, and ultraprocessed). Interrater reliability was assessed by percent concordance between coder pairs and by Cohen's κ coefficient. Construct validity was evaluated by comparing the average daily macronutrient content of foods between Nova categories., Results: In 5546 valid recall days, 3099 unique foods were categorized: minimally processed (18%), processed culinary ingredients (0.4%), processed (15%), and ultraprocessed (67%). Coder concordance = 88.3%, and κ coefficient = 0.75. Descriptive comparisons of macronutrient content across 66,531 diet recall food entries were consistent with expectations. On average, UPFs were 62% (SD 19) of daily calories, and a disproportionally high percentage of daily added sugar (94%; SD 16) and low percentage of daily protein (47%; SD 24). Minimally processed foods were 30% (SD 17) of daily calories, and a disproportionally low percentage of daily added sugar (1%; SD 8) and high percentage of daily protein (43%; SD 24)., Conclusions: This method of Nova classifying NDSR-based 24-h dietary recalls was reliable and valid for identifying individual intake of processed foods, including UPFs., (Copyright © 2022 American Society for Nutrition. Published by Elsevier Inc. All rights reserved.)

Background: The first 1000 days of a child's life are increasingly recognized as a critical window for establishing a healthy growth trajectory to prevent childhood obesity and its associated long-term comorbidities. The purpose of this manuscript is to detail the methods for a multi-site, comparative effectiveness trial designed to prevent childhood overweight and obesity from birth to age 2 years., Methods: This study is a multi-site, individually randomized trial testing the comparative effectiveness of two active intervention arms: 1) the Greenlight intervention; and 2) the Greenlight Plus intervention. The Greenlight intervention is administered by trained pediatric healthcare providers at each well-child visit from 0 to 18 months and consists of a low health literacy toolkit used during clinic visits to promote shared goal setting. Families randomized to Greenlight Plus receive the Greenlight intervention plus a health information technology intervention, which includes: 1) personalized, automated text-messages that facilitate caregiver self-monitoring of tailored and age-appropriate child heath behavior goals; and 2) a web-based, personalized dashboard that tracks child weight status, progress on goals, and electronic Greenlight content access. We randomized 900 parent-infant dyads, recruited from primary care clinics across six academic medical centers. The study's primary outcome is weight for length trajectory from birth through 24 months., Conclusions: By delivering a personalized and tailored health information technology intervention that is asynchronous to pediatric primary care visits, we aim to achieve improvements in child growth trajectory through two years of age among a sample of geographically, socioeconomically, racially, and ethnically diverse parent-child dyads., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 Elsevier Inc. All rights reserved.)

Objective: Examine factors impacting U.S. parents' intention to vaccinate their children against COVID-19., Methods: Data were collected February-May 2021 from parents living in six geographically diverse locations. The COVID-19 Exposure and Family Impact Survey assessed perceived susceptibility and severity to adverse outcomes from the pandemic. Semi-structured interviews assessed perceptions about benefits and risks of vaccinating children., Results: Fifty parents of 106 children (newborn-17 years) were included; half were Spanish-speaking and half English-speaking. 62% were hesitant about vaccinating their children against COVID-19. Efficacy and safety were the main themes that emerged: some parents perceived them as benefits while others perceived them as risks to vaccination. Parent hesitancy often relied on social media, and was influenced by narrative accounts of vaccination experiences. Many cited the lower risk of negative outcomes from COVID-19 among children, when compared with adults. Some also cited inaccurate and constantly changing information about COVID-19 vaccines., Conclusion: Main drivers of parent hesitancy regarding child COVID-19 vaccination include perceived safety and efficacy of the vaccines and lower severity of illness in children., Practice Implications: Many vaccine-hesitant parents may be open to vaccination in the future and welcome additional discussion and data., (Copyright © 2022 Elsevier B.V. All rights reserved.)

Competency-Based Approaches to Community Health (COACH) is a randomized controlled trial of a family-centered, community-based, and individually-tailored behavioral intervention for childhood obesity among Latino pre-school children. COACH focuses on improving personal agency for health behavior change by tailoring content to overcome contextual barriers. The intervention focuses on diet, physical activity, sleep, media use, and engaged parenting. The content is individually adapted based on routine assessments of competency in specific health behaviors using a mobile health platform and novel measurement tools developed by our team. In response to these regular assessments, health coaches provide tailored health behavior change strategies to help families focus on the areas where they decide to improve the most. The intervention consists of a 15-week group-based intensive phase, with weekly sessions delivered by health coaches in community centers. Following weekly sessions, a 3-month maintenance phase of the intervention consists of twice monthly coaching calls for participants to focus on individual health goals for their families. The primary outcome of the trial is child body mass index trajectory over 1 year. Secondary outcomes include parent body mass index change, child waist circumference, child diet, child physical activity, and other psychosocial mediators of child health behavior change. The control arm consists of a school readiness intervention, delivered by the Nashville Public Library. By applying a personalized approach to child behavior change, in the setting of both family and community, COACH aims to develop sustainable solutions for childhood obesity by supporting healthy childhood growth in low-income, minority preschool children., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Purpose: The objective of this study was to report survey response rates and demographic characteristics of eight recruitment approaches to determine acceptability and effectiveness of large-scale patient recruitment among various populations., Methods: We conducted a cross sectional analysis of survey data from two large cohorts. Patients were recruited from the Mid-South Clinical Data Research Network using clinic-based recruitment, research registries, and mail, phone, and email approaches. Response rates are reported as patients who consented for the survey divided by the number of eligible patients approached., Results: We contacted more than 90,000 patients and 13,197 patients completed surveys. Median age was 56.3years (IQR 40.9, 67.4). Racial/ethnic distribution was 84.1% White, non-Hispanic; 9.9% Black, non-Hispanic; 1.8% Hispanic; and 4.0% other, non-Hispanic. Face-to-face recruitment had the highest response rate of 94.3%, followed by participants who "opted-in" to a registry (76%). The lowest response rate was for unsolicited emails from the clinic (6.1%). Face-to-face recruitment enrolled a higher percentage of participants who self-identified as Black, non-Hispanic compared to other approaches (18.6% face-to-face vs. 8.4% for email)., Conclusions: Technology-enabled recruitment approaches such as registries and emails are effective for recruiting but may yield less racial/ethnic diversity compared to traditional, more time-intensive approaches., (Copyright © 2017. Published by Elsevier Inc.)

Objective: To identify eating styles from 6 eating behaviors and test their association with body mass index (BMI) among adults., Design: Cross-sectional analysis of self-report survey data., Setting: Twelve primary care and specialty clinics in 5 states., Participants: Of 11,776 adult patients who consented to participate, 9,977 completed survey questions., Variables Measured: Frequency of eating healthy food, frequency of eating unhealthy food, breakfast frequency, frequency of snacking, overall diet quality, and problem eating behaviors. The primary dependent variable was BMI, calculated from self-reported height and weight data., Analysis: k-Means cluster analysis of eating behaviors was used to determine eating styles. A categorical variable representing each eating style cluster was entered in a multivariate linear regression predicting BMI, controlling for covariates., Results: Four eating styles were identified and defined by healthy vs unhealthy diet patterns and engagement in problem eating behaviors. Each group had significantly higher average BMI than the healthy eating style: healthy with problem eating behaviors (β = 1.9; P < .001), unhealthy (β = 2.5; P < .001), and unhealthy with problem eating behaviors (β = 5.1; P < .001)., Conclusions and Implications: Future attempts to improve eating styles should address not only the consumption of healthy foods but also snacking behaviors and the emotional component of eating., (Copyright © 2017 Society for Nutrition Education and Behavior. Published by Elsevier Inc. All rights reserved.)

Objective: To quantify the combined effect of maternal prepregnancy obesity and maternal gestational weight gain (GWG) on the shape of infant growth throughout the first year of life., Methods: A retrospective cohort of mother-child dyads with children born between January 2007 and May 2012 was identified in a linked electronic medical record. Data were abstracted to define the primary exposures of maternal prepregnancy body mass index (BMI) and GWG, and the primary outcome of infant growth trajectory., Results: We included 499 mother-child dyads. The average maternal age was 28.2 years; 55% of mothers were overweight or obese before pregnancy, and 42% of mothers had excess GWG, as defined by the Institute of Medicine. Maternal prepregnancy BMI (P < .001) and the interaction between prepregnancy BMI and maternal GWG (P = .02) showed significant association with infant growth trajectory through the first year of life after controlling for breast-feeding and other covariates, while GWG alone did not reach statistical significance (P = .38). Among infants of mothers with excess GWG, a prepregnancy BMI of 40 kg/m(2) versus 25 kg/m(2) resulted in a 13.6% (95% confidence interval 5.8, 21.5; P < .001) increase in 3-month infant weight/length percentile that persisted at 12 months (8.4%, 95% confidence interval 0.2, 16.5; P = .04)., Conclusions: The combined effect of excess maternal GWG and prepregnancy obesity resulted in higher infant birth weight, rapid weight gain in the first 3 months of life, with a sustained weight elevation throughout the first year of life. These findings highlight the importance of the preconception and prenatal periods for pediatric obesity prevention., (Copyright © 2014 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.)

Objective: To describe a systematic assessment of patient educational materials for the Growing Right Onto Wellness (GROW) trial, a childhood obesity prevention study targeting a low health literate population., Methods: Process included: (1) expert review of educational content, (2) assessment of the quality of materials including use of the Suitability Assessment of Materials (SAM) tool, and (3) material review and revision with target population., Results: 12 core modules were developed and assessed in an iterative process. Average readability was at the 6th grade reading level (SMOG Index 5.63 ± 0.76, and Fry graph 6.0 ± 0.85). SAM evaluation resulted in adjustments to literacy demand, layout & typography, and learning stimulation & motivation. Cognitive interviews with target population revealed additional changes incorporated to enhance participant's perception of acceptability and feasibility for behavior change., Conclusion: The GROW modules are a collection of evidence-based materials appropriate for parents with low health literacy and their preschool aged children, that target the prevention of childhood overweight/obesity., Practice Implications: Most trials addressing the treatment or prevention of childhood obesity use written materials. Due to the ubiquitous prevalence of limited health literacy, our described methods may assist researchers in ensuring their content is both understood and actionable., (Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.)

Growing Right Onto Wellness (GROW) is a randomized controlled trial that tests the efficacy of a family-centered, community-based, behavioral intervention to prevent childhood obesity among preschool-aged children. Focusing on parent-child pairs, GROW utilizes a multi-level framework, which accounts for macro (i.e., built-environment) and micro (i.e., genetics) level systems that contribute to the childhood obesity epidemic. Six hundred parent-child pairs will be randomized to a 3-year healthy lifestyle intervention or a 3-year school readiness program. Eligible children are enrolled between ages 3 and 5, are from minority communities, and are not obese. The principal site for the GROW intervention is local community recreation centers and libraries. The primary outcome is childhood body mass index (BMI) trajectory at the end of the three-year study period. In addition to other anthropometric measurements, mediators and moderators of growth are considered, including genetics, accelerometry, and diet recall. GROW is a staged intensity intervention, consisting of intensive, maintenance, and sustainability phases. Throughout the study, parents build skills in nutrition, physical activity, and parenting, concurrently forming new social networks. Participants are taught goal-setting, self-monitoring, and problem solving techniques to facilitate sustainable behavior change. The GROW curriculum uses low health literacy communication and social media to communicate key health messages. The control arm is administered to both control and intervention participants. By conducting this trial in public community centers, and by implementing a family-centered approach to sustainable healthy childhood growth, we aim to develop an exportable community-based intervention to address the expanding public health crisis of pediatric obesity., (© 2013.)