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Larger bottle size is associated with faster weight gain in infants, but little is known about acceptability and feasibility of providing bottles in primary care clinics.We randomized parent-infant dyads (N = 40) to receive a set of 4-ounce bottles or to continue using their own bottles. Demographic and anthropometric information were collected at enrollment and one follow-up visit 1-5 months later. The primary aim was to assess feasibility and acceptability of the intervention strategy. We compared components of bottle feeding, including usual bottle sizes used, number and volume of feeds with Wilcoxon rank-sum tests, and changes in weight-for-age and weight-for-length z-scores during the study period with t-tests, using p 0.05 as an indicator of statistical significance.Of participants randomized to receive bottles, 90% were using the 4oz bottles at follow up. The intervention group reported a significantly lower median bottle size (4oz) than the control group (8oz) at follow up, and parents reported acceptability and continued use of the bottles.An intervention to provide smaller bottles was feasible, mostly acceptable, resulted in lower median bottle size. Further research is needed to determine whether it represents a novel way to prevent rapid infant weight gain.

We evaluated the prevalence of high weight status in children ages 0 to 24 months (m) using data from electronic health records (EHR) and NHANES. We also examined relationships between weight status during infancy and obesity at 24 months of age.EHR data from 4 institutions in North and South Carolina included patients born January 1, 2013-October 10, 2017 (N = 147,290). NHANES data included study waves from 1999 to 2018 (unweighted N = 5121). We calculated weight-for-length (WFL), weight-for-age (WFA), and body mass index (BMI), excluding implausible values, and categorized weight status (85th, 85th to95th, or ≥95th percentile), assessing prevalence at birth, 6, 12, 18, and 24 months. Utilizing individual, longitudinal EHR data, we used separate regression models to assess obesity risk at 24 months based on anthropometrics at birth, 6, 12, and 18 months, adjusting for sex, race/ethnicity, insurance, and health system.Prevalence of BMI ≥95th percentile in EHR data at 6, 12, 18, and 24 months were 9.7%, 15.7%, 19.6%, and 20.5%, respectively. With NHANES the prevalence was 11.6%, 15.0%, 16.0%, and 8.4%. For both, the prevalence of high weight status was higher in Hispanic children. In EHR data, high weight status at 6, 12, and 18 months was associated with obesity at 24 months, with stronger associations as BMI category increased and as age increased.High weight status is common in infants and young children, although lower at 24 months in NHANES than EHR data. In EHR data, high BMI at 6, 12, and 18 months was associated with increased risk of obesity at 24 months.

We aimed to capture milk feeding type in real time in a racially and socioeconomically diverse population. An electronic tool to assess milk feeding type at every medical visit for children aged 0 to 2 years was designed and incorporated into nursing workflows. The Milk Box tool was successfully added to the electronic clinical workspace of a large health system. There were eight clinics, with diverse characteristics, which incorporated the use of the Milk Box tool over 12 months. Time to 50% uptake of Milk Box varied from 3 to 5 months. Time to >80% uptake varied from 6 to 8 months. Our results show that Milk Box can be quickly incorporated into a clinical workflow when the team is given appropriate training and support. The tool also allows a primary care practice to study local breast milk consumption trends and to provide both individualized and system-level lactation support.

Background Surveillance in 2020–2021 showed that seasonal respiratory illnesses were below levels seen during prior seasons, with the exception of interseasonal respiratory syncytial virus (RSV). Methods Electronic health record data of infants aged Results Pre–COVID-19, 88% of RSV and 92% of bronchiolitis encounters were seen in ambulatory settings. During COVID-19, 94% and 93%, respectively, occurred in ambulatory settings. Pre–COVID-19, the highest RSV proportion was observed in December–January (up to 38% in ED), while the peaks during COVID-19 were seen in July–September (up to 41% in ED) across all settings. RSV laboratory testing among RSV encounters was low during pre–COVID-19 (IP, 51%; ED, 51%; OP, 41%; UC, 84%) and COVID-19 outside of UC (IP, 33%; ED, 47%; OP, 47%; UC, 87%). Full-term, otherwise healthy infants comprised most RSV encounters (pre–COVID-19, up to 57% in OP; COVID-19, up to 82% in TM). Conclusions With the interruption of historical RSV epidemiologic trends and the emergence of interseasonal disease during COVID-19, continued monitoring of RSV is warranted across all settings as the changing RSV epidemiology could affect the distribution of health care resources and public health policy.

Objective To determine whether proportion of breast versus formula feeding, and timing of complementary food introduction affect the odds of rapid gain in weight status in a diverse sample of infants. Methods Using data from Greenlight Intervention Study, we analyzed the effects of type of milk feeding (breastfeeding, formula, or mixed feeding) from the 2 to 6 month well visits, and the introduction of complementary foods before 4 months on rapid increase in weight-for-age z-score (WAZ) and weight-for-length z-score (WLZ) before 12 months using multivariable logistic regression models. Results Of the 865 infants enrolled, 469 had complete data on all variables of interest, and 41% and 33% of those infants had rapid increases in WAZ and WLZ, respectively. Odds of rapid increase in WAZ remained lowest for infants breastfeeding from 2 to 6 months (aOR 0.34; 95% CI: 0.17, 0.69) when compared to infants who were formula fed. Adjusted for feeding, introduction of complementary foods after 4 months was associated with decreased odds of rapid increase in WLZ (aOR 0.64; 95% CI: 0.42, 0.96). Conclusion Feeding typified by predominant breastfeeding and delaying introduction of complementary foods after 4 months reduces the odds of rapid increases in WAZ and WLZ in the first year of life.

PURPOSE OF REVIEW The Duke Healthy Lifestyles Program (HL), established in 2006, has treated over 15,000 pediatric patients with obesity. A subset of patients with obesity do not respond to dietary and lifestyle changes. Development of the Staged Transitional Eating Plan (STEP) in 2012 provided a ketogenic advanced dietary option for these specific patients. RECENT FINDINGS The goal of STEP is to facilitate weight loss, while assuring adequacy and the promotion of health through the abundant inclusion of vegetables, fatty fish, nuts, olive oil, and other foods consistent with the Mediterranean Diet. STEP is a three-phase eating plan, each with a defined carbohydrate limit. STEP is ideal for patients eager to try a low carbohydrate diet, those with good vegetable acceptance, and those with families who are able to participate in the same eating plan as them. SUMMARY STEP, the HL version of low carbohydrate high fat eating, is a safe dietary intervention for a carefully selected subset of pediatric patients with obesity who are trying to lose weight.

Objective Little is known about the concordance of parent and child reports of children's media consumption, even though parents are often asked to report for their children in clinical care settings. Our objective was to understand how parent and child reports of children's media consumption differ in an era of changing screen media consumption via personal devices. Methods As part of a larger study about the reception of health-related cues from children's media, children ages 9 to 11 years (N = 114) and their parents independently completed identical questionnaires about specific media use and health behaviors. To examine concordance between child and parent reports of children's screen media use, we calculated the mean number of minutes per day and proportions reported by the child and parent and assessed concordance with t-tests and chi-square tests. Results On a typical day, children reported nearly an hour each of video and app game use, computer use, and television exposure. Overall, child and parent reports were similar, usually within 10 minutes of each other; however, among 3 measures of TV use, parents consistently reported less TV exposure than children. There was significant discordance in the percentages of parents and children reporting the presence of a TV in the child's room. Conclusions Parent and child reports of children's media use were generally concordant; however, there were important disagreements, such as TV use in the child's room and during meals. We discuss possible causes of discrepancies and implications.

Objective Food insecurity is associated with childhood obesity possibly mediated through caregiver feeding practices and beliefs. We examined if caregiver feeding practices differed by household food security status in a diverse sample of infants. We hypothesized that feeding practices differ based on food security status. Patients and methods Included in the baseline cross-sectional analysis of data from a randomized controlled trial to prevent obesity were 842 caregivers of 2-month-old infants presenting for well-child care at 4 academic institutions. Food insecurity exposure was based on an affirmative answer to 1 of 2 items in a 2-item validated questionnaire. Chi-square tests examined the association between parent feeding practices and food security status. Logistic regression adjusted for covariates. Differences in caregiver feeding practices by food security status and race/ethnicity were explored with an interaction term (food security status x race/ethnicity). Results Forty-three percent of families screened as food insecure. In adjusted logistic regression, parents from food-insecure households were more likely to endorse that “the best way to make an infant stop crying is to feed him or her” (adjusted odds ratio [aOR], 1.72; 95% confidence interval [CI], 1.28–2.29) and “when my baby cries, I immediately feed him or her” (aOR, 1.40; 95% CI, 1.06–1.83). Food-insecure caregivers less frequently endorsed paying attention to their baby when he or she is full or hungry (OR, 0.57; 95% CI, 0.34–0.96). Racial/ethnic differences in beliefs and behaviors were observed by food security status. Conclusions During early infancy, feeding practices differed among caregivers by household food security status. Further research is needed to examine whether these practices are associated with increased risk of obesity and obesity-related morbidity.

Although local policies aimed at reducing childhood health inequities can benefit from local data, sample size constraints in population representative health surveys often prevent rigorous evaluations of child health disparities and health care patterns at local levels. Electronic Health Records (EHRs) offer a possible solution as they contain large amounts of information on pediatric patients within a health system. In this paper, we consider the suitability of using EHRs from a large health system to study local children's health by evaluating the extent to which the EHRs capture the county's child population. First, we compare the demographic characteristics of Duke University Health System pediatric patients who live in Durham County, NC (USA) to the child population estimates in the 2015-2019 American Community Survey. We then examine geographic variation in census tract rates of children captured in the EHR data and estimate negative binomial models to assess how tract characteristics are associated with these rates. We also perform these analyses for the subset of pediatric patients who have a well-child encounter. We find that the demographic characteristics of pediatric patients captured by the EHRs are similar to those of the county's child population. Although the county rate of children captured in the EHRs is high, there is variation across census tracts. On average, census tracts with higher concentrations of non-Hispanic Black residents have lower capture rates and tracts with higher concentrations of poverty have higher capture rates, with the poorest tracts showing the largest racial gap in rates of children captured by EHRs. Our findings suggest that EHRs from a large health system can be used to assess children's population health, but that EHR-based evaluations of children's health disparities and health care patterns should account for differences in who is captured by the EHRs based on census tract characteristics.

Objective This study examines the development of active television (TV) watching behaviors across the first 2 years of life in a racially and ethnically diverse, low-income cohort and identifies caregiver and child predictors of early TV watching. Methods We used longitudinal data from infants enrolled in the active control group (N = 235; 39% Latino; 29% Black; 15% White) of Greenlight, a cluster randomized multisite trial to prevent childhood obesity. At preventive health visits from 2 months to 2 years, caregivers were asked: "How much time does [child's first name] spend watching television each day?" Proportional odds models and linear regression analyses were used to assess associations among TV introduction age, active TV watching amount at 2 years, and sociodemographic factors. Results Sixty-eight percent of children watched TV by 6 months, and 88% by 2 years. Age of TV introduction predicted amount of daily active TV watching at 2 years, with a mean time of 93 minutes if starting at 2 months; 64 minutes if starting at 4 or 6 months; and 42 minutes if starting after 6 months. Factors predicting earlier introduction included lower income, fewer children in household, care away from home, male sex, and non-Latino ethnicity of child. Conclusions Many caregivers report that their infants actively watch TV in the first 6 months of life. Earlier TV watching is related to sociodemographic factors yet predicts more daily TV watching at 2 years even controlling those factors. Interventions to limit early TV watching should be initiated in infancy.

Background Human milk feeding reduces the incidence and costs of several maternal and childhood illnesses. Initiation and success of human milk feeding are influenced by race, socioeconomic status, and family support. The influence of early in-hospital lactation assistance in breastfeeding success has been not well described. Research aims We aimed to determine how suspected known factors influencing breastfeeding success influence in-hospital human milk feeding rates. Second, we aimed to examine how timing of lactation assistance is related to success of human milk feeding during the newborn hospitalization for healthy infants. Methods We conducted a retrospective cohort study of term infants born between January 1, 2014 and December 31, 2016 at a large tertiary academic hospital. We considered “success” to be 100% human milk feeding during the birth hospitalization, and compared differences in success by demographics, payor, race, and initial feeding preference. Influences of lactation assistance on success were analyzed using multivariable logistic regression. Results Mean success with exclusive human milk feeding among 7,370 infants was 48.9%, ( n = 3,601). Successful participants were more likely to be 39–40 weeks’ gestation (64.9%, n = 2,340), non-Hispanic/non-Latino (80.0%, n = 2,882), and using private insurance (69.2%, n = 2,491). Participants who had early feeding assisted by an International Board Certified Lactation Consultant (IBCLC) before being fed any formula were more likely to be successful than participants who had a feeding assisted by a non-IBCLC nurse (80% vs. 40% respectively). Conclusions Success for exclusive human milk feeding during newborn hospitalization is strongly associated with several factors. Early intervention with IBCLCs can greatly improve breastfeeding success.