Determining Trends and Factors Associated with Self-Reported Physical Activity among Adolescents in Rural North Carolina

It is important to better understand factors associated with physical activity (PA) levels in adolescents in rural areas. Cross-sectional data were used to obtain self-reported PA levels among adolescents in a school-based intervention in fall 2018. Demographic data, environmental variables, and cardiovascular fitness (PACER score) were also measured. Analyses included a two-sample t-test, ANOVA, a Chi-square test(,) and a linear regression model. Participants included 3799 7th graders. Male (p < 0.0001), white (p < 0.0001), and healthy weight (p < 0.0001) participants reported more days of PA. The correlation between school physical education (PE) and PACER was modest (r = 0.27, p < 0.0001). Multiple linear regression model showed significant effects of school PE (p = 0.0011), gender (p < 0.0001), race (p < 0.0001), and weight category (p < 0.0001) on self-reported PA. The percentage of students reporting 60 min of PA for 5 (p < 0.0001) or 7 (p = 0.0307) days per week tended to be higher with increased days per week of school PE. Policy changes that increase PA and PE in middle schools may present opportunities to improve PA levels in adolescents, with emphasis on being inclusive and mindful of minority and female youth

Physical Examination Findings Among Children and Adolescents With Obesity: An Evidence-Based Review

Overweight and obesity affects 1 in 3 US children and adolescents. Clinical recommendations have largely focused on screening guidelines and counseling strategies. However, the physical examination of the child or adolescent with obesity can provide the clinician with additional information to guide management decisions. This expert-based review focuses on physical examination findings specific to children and adolescents with obesity. For each physical examination element, the authors define the finding and its prevalence among pediatric patients with obesity, discuss the importance and relevance of the finding, describe known techniques to assess severity, and review evidence regarding the need for additional evaluation. The recommendations presented represent a comprehensive review of current evidence as well as expert opinion. The goal of this review is to highlight the importance of conducting a targeted physical examination during pediatric weight management visits

The association between the food environment and weight status among eastern North Carolina youth

Objective: To examine associations between various measures of the food environment and BMI percentile among youth. Design: Cross-sectional, observational. Setting: Pitt County, eastern North Carolina. Subjects:We extracted the electronic medical records for youth receiving well child check-ups from January 2007 to June 2008. We obtained addresses for food venues from two secondary sources and ground-truthing. A geographic information systems database was constructed by geocoding home addresses of 744 youth and food venues. We quantified participants\u27 accessibility to food venues by calculating \u27coverage\u27, number of food venues in buffers of 0●25, 0●5, 1 and 5 miles (0●4, 0●8, 1●6 and 8●0 km) and by calculating \u27proximity\u27 or distance to the closest food venue. We examined associations between BMI percentile and food venue accessibility using correlation and regression analyses. Results:There were negative associations between BMI percentile and coverage of farmers\u27 markets/produce markets in 0●25 and 0●5 mile Euclidean and 0●25, 0●5 and 1 mile road network buffers. There were positive associations between BMI percentile coverage of fast-food and pizza places in the 0●25 mile Euclidean and network buffers. In multivariate analyses adjusted for race, insurance status and rural/urban residence, proximity (network distance) to convenience stores was negatively associated with BMI percentile and proximity to farmers\u27 markets was positively associated with BMI percentile. Conclusions: Accessibility to various types of food venues is associated with BMI percentile in eastern North Carolina youth. Future longitudinal work should examine correlations between accessibility to and use of traditional and non-traditional food venues

Quality of life and BMI changes in youth participating in an integrated pediatric obesity treatment program

Background Changes in Quality of Life (QOL) measures over time with treatment of obesity have not previously been described for youth. We describe the changes from baseline through two follow up visits in youth QOL (assessed by the Pediatric Quality Life Inventory, PedsQL4.0), teen depression (assessed by the Patient Health Questionnaire, PHQ9A), Body Mass Index (BMI) and BMI z-score. We also report caregiver proxy ratings of youth QOL. Methods A sample of 267 pairs of youth and caregiver participants were recruited at their first visit to an outpatient weight-treatment clinic that provides care integrated between a physician, dietician, and mental health provider; of the 267, 113 attended a visit two (V2) follow-up appointment, and 48 attended visit three (V3). We investigated multiple factors longitudinally experienced by youth who are overweight and their caregivers across up to three different integrated care visits. We determined relationships at baseline in QOL, PHQ9A, and BMI z-score, as well as changes in variables over time using linear mixed models with time as a covariate. Results Overall across three visits the results indicate that youth had slight declines in relative BMI, significant increases in their QOL and improvements in depression. Conclusions We encourage clinicians and researchers to track youth longitudinally throughout treatment to investigate not only youth’s BMI changes, but also psychosocial changes including QOL

Development and Validation of a Tool for Assessing Glucose Impairment in Adolescents

INTRODUCTION: Childhood obesity is associated with an increased risk for type 2 diabetes. Early identification of adolescents at risk for impaired fasting blood glucose may lead to earlier and more comprehensive evaluation and intervention. Because widespread blood glucose testing of adolescents is not recommended, community-based tools are needed to identify those who could benefit from further testing. One such tool, developed for adults, was the Tool for Assessing Glucose ImpairmenT (TAG-IT). Our objective was to validate whether a similar tool could be useful for community-based screening of glucose impairment risk among adolescents. METHODS: Our study sample consisted of 3,050 adolescents aged 12 to18 years who had participated in the 1999-2008 National Health and Nutrition Examination Survey (NHANES). Half of participants were female and 40% were nonwhite. NHANES measured fasting blood glucose and height, weight, and resting heart rate. We used Pearson correlations and regression analysis to determine key variables for predicting glucose impairment. From these measurements, we created a composite TAG-IT score for adolescents called TAG-IT-A. We then applied the TAG-IT-A model to 1988-1994 NHANES data, using linear regression analysis and receiver operating characteristic analysis to determine how well the TAG-IT-A score predicted a fasting blood glucose at or above 100 mg/dL. RESULTS: We determined that age, sex, body mass index, and resting heart rate were predictors of impaired fasting blood glucose and that TAG-IT-A was a better predictor of impaired fasting blood glucose than body mass index alone (area under the curve, 0.61, P < .001 vs 0.55, P = .10, respectively). A TAG-IT-A score of 3 or higher correctly identified 50% of adolescents with impaired fasting blood glucose, while a score of 5 or higher correctly identified 76% . CONCLUSION: The TAG-IT-A score is a simple screening tool that clinicians and public health professionals could use to easily identify adolescents who may have impaired fasting blood glucose and need a more comprehensive evaluation

Short-term Change in Body Mass Index in Overweight Adolescents Following Cholesterol Screening

To determine the relationship between routine screening for cholesterol level and subsequent change in body mass index (BMI; calculated as weight in kilograms divided by height in meters squared)

Adaptation of a Modified Diet Quality Index to Quantify Healthfulness of Food-Related Toy Sets

The objective of this cross-sectional study was to examine the construct validity of an adapted modified Diet Quality Index (aDQI) as a measure of the healthfulness of food-related toy sets for young children (3–8 years). A standardized online search was used to identify toy sets (n = 50) from 10 retailers. An aDQI score (aDQI score, range 0–50) was determined for each toy set, mean (standard deviation) = 28.7 (6.1). Regression analyses demonstrated a positive association between aDQI score and percentage of dairy, refined grains, protein, vegetables, and fruit and inverse association with percentage of desserts, sugar-sweetened beverages, and total number of servings. Sets contained more protein and fewer fruits than recommended. The aDQI score demonstrates construct validity to objectively assess the healthfulness of food-related toy sets. There is opportunity for toy manufacturers to make changes to improve the healthfulness in toy sets for young children, and future research can explore the impact of food-related toy sets on nutrition behaviors

Addressing Childhood Obesity

The overweight and obesity epidemic among children and adolescents in the United States continues to worsen, with notable racial, ethnic, and socioeconomic disparities. Risk factors for pediatric obesity include genetics; environmental and neighborhood factors; increased intake of sugar-sweetened beverages (SSBs), fast-food, and processed snacks; decreased physical activity; shorter sleep duration; and increased personal, prenatal, or family stress. Pediatricians can help prevent obesity by measuring body mass index at least yearly and providing age- and development-appropriate anticipatory guidance to families. Public policies and environmental interventions aim to make it easier for children to make healthy nutrition and physical activity choices. Interventions focused on family habits and parenting strategies have also been successful at preventing or treating childhood obesity

Preparing Faculty to Incorporate Health Systems Science into the Clinical Learning Environment: Factors Associated with Sustained Outcomes

This study assesses participants’ perceptions of long-term impacts of the Teachers of Quality Academy, a medical school faculty development program designed to prepare faculty to both practice and teach health system science. A previously published 1-year evaluation of the first cohort of 27 participants showed improved perceived skills, with positive career and health system impacts. In this 5-year evaluation, a mixed-methods design included a questionnaire followed by semistructured interviews to assess perceived long-term impacts on participants. Quantitative and qualitative analyses were completed. Questionnaire response rate was 88% (N = 22), and 14 interviews were analyzed. Results demonstrated that participants had incorporated quality improvement concepts into their clinical work and teaching, better understood interprofessionalism, and observed continued improvements in care delivery. They felt the longitudinal training, delivered in a shared setting, created a learning community with lasting positive effects in institutional culture, supported long-term professional development, and had broader institutional impact. Advancements in clinical care, medical education, and professional and academic advancements were noted

Prevention and Treatment of Childhood Obesity: Care Received by a State Medicaid Population

Based on chart review for a representative cluster sample of North Carolina Medicaid enrollees aged 3 to 5 years (n = 1951) and 13 to 16 years (n = 1922) years, this study describes prevalence, practice patterns, and comorbidities related to overweight/obese immediately prior to 2007 Expert Recommendations. In total, 16% of children in both age groups were overweight, and 20% (ages 3–5 years) and 25% (ages 13–16 years) were obese. For 3- to 5-year-olds, body mass index percentile was infrequently recorded (22%) or plotted on growth charts (24%), and weight status category was rarely documented (10%). Results were similar for adolescents (21%, 20%, and 12%, respectively). In both groups, documentation of counseling in nutrition or physical activity was rare (16% for ages 3–5 years; 7% for ages 13–16 years). In adolescents, approximately 20% received recommended laboratory screening and overweight/obesity was significantly associated with chart-documented asthma, back pain, prediabetes, gastroesophageal reflux disease, hypertension, and sleep apnea. Whether improvements in documentation of care followed these new guidelines deserves further research