Objectively measured pediatric obesity prevalence using the OneFlorida Clinical Research Consortium

School-based obesity prevention programs in rural communities: a scoping review

OBJECTIVE

The objective of this review was to examine existing literature and conceptually map the evidence for school-based obesity prevention programs implemented in rural communities, as well as identify current gaps in the literature.

INTRODUCTION

Pediatric obesity is a significant public health condition worldwide. Rural residency places children at increased risk of obesity. Schools have been identified as an avenue for obesity prevention in rural communities.

INCLUSION CRITERIA

We considered citations focused on children (5 to 18 years of age) enrolled in a rural educational setting. We included obesity prevention programs delivered in rural schools that focused on nutrition or dietary changes, physical activity or exercise, decreasing screen time, or combined nutrition and physical activity that aimed to prevent childhood obesity. We included all quantitative, qualitative, and mixed methods research designs, as well as text and opinion data.

METHODS

A search was conducted of published and unpublished studies in English from 1990 through April 2020 using PubMed, CINAHL Complete, ERIC, Embase, Scopus, Academic Search Premier, Cochrane Register of Controlled Trials, and ClinicalTrials.gov. Gray literature was also searched. After title and abstract review, potentially relevant citations were retrieved in full text. The full texts were assessed in detail against the inclusion criteria by 2 independent reviewers. Included citations were reviewed and data extracted by 2 independent reviewers and captured on a spreadsheet targeting the review objectives.

RESULTS

Of the 105 studies selected for full-text review, 72 (68.6%) were included in the final study. Most of the studies (n = 50) were published between 2010 and 2019 and were conducted in the United States (n = 57). Most studies included children in rural elementary or middle schools (n = 57) and targeted obesity prevention (n = 67). Teachers implemented the programs in half of the studies (n = 36). Most studies included a combination of physical activity and nutrition components (n = 43). Other studies focused solely on nutrition (n = 9) or physical activity (n = 9), targeted obesity prevention policies (n = 9), or other components (n = 8). Programs ranged in length from weeks to years. Overall, weight-related, physical activity-specific, and nutrition-specific outcomes were most commonly examined in the included citations.

CONCLUSIONS

Obesity prevention programs that focused on a combination of physical activity and nutrition were the most common. Multiple outcomes were examined, but most programs included weight-specific and health behavior-specific outcomes. The length and intensity of rural school-based obesity prevention programs varied. More research examining scientific rigor and specific outcomes of rural school-based obesity prevention programs is needed.

The OneFlorida Data Trust: a centralized, translational research data infrastructure of statewide scope

The OneFlorida Data Trust is a centralized research patient data repository created and managed by the OneFlorida Clinical Research Consortium ("OneFlorida"). It comprises structured electronic health record (EHR), administrative claims, tumor registry, death, and other data on 17.2 million individuals who received healthcare in Florida between January 2012 and the present. Ten healthcare systems in Miami, Orlando, Tampa, Jacksonville, Tallahassee, Gainesville, and rural areas of Florida contribute EHR data, covering the major metropolitan regions in Florida. Deduplication of patients is accomplished via privacy-preserving entity resolution (precision 0.97-0.99, recall 0.75), thereby linking patients' EHR, claims, and death data. Another unique feature is the establishment of mother-baby relationships via Florida vital statistics data. Research usage has been significant, including major studies launched in the National Patient-Centered Clinical Research Network ("PCORnet"), where OneFlorida is 1 of 9 clinical research networks. The Data Trust's robust, centralized, statewide data are a valuable and relatively unique research resource.

Prevalence of Underweight, Overweight and Obesity in School-Aged Children in the Urban Area of the Northwestern Part of Romania

INTRODUCTION

During the last three decades, there has been an excess weight epidemic due to changes in nutrition and lifestyle. Few data on the prevalence of overweight and obesity in children in Romania were published, without a single study representative at the national level. There are reports on the higher level of overweight and obesity in urban areas compared to rural ones. This study aimed to estimate the prevalence of underweight, overweight, obesity and severe obesity in children enrolled in schools from the urban area.

MATERIAL AND METHODS

For this cross-sectional study, children from 177 schools from the urban area of five counties from the northwestern part of Romania were included after the parents signed written informed consent. Anthropometric data were recorded (weight, height) based on World Health Organization (WHO) recommendations and Body-Mass-Index (BMI), and the z-score for BMI were calculated. The nutritional status was estimated using three reference criteria: WHO, International Obesity Task Force (IOTC) and the Center for Disease Control and Prevention (CDC).

RESULTS

We analyzed data of 21,650 children (48.19% boys) age between 7 and 18 years. The prevalence of overweight was 13.8%, 16.2% and 20.3%, of obesity was 10.7%, 10.0% and 5.7% and of severe obesity was 5.1%, 1.2% and 1.6% (using WHO, CDC and IOTF cut-offs). Underweight was present in 5.2% (WHO), 6% (CDC) and 2.6% (IOTF). The highest prevalence of overweight (including obesity) was found in children aged 10 years, and the lowest in adolescents at 18 years. Boys have a higher prevalence of excess weight than girls. Using IOTF cut-offs, the prevalence of obesity and severe obesity was lower than using WHO criteria.

CONCLUSIONS

The prevalence of overweight (including obesity) in children from the urban area of Western Romania was recorded at alarming levels, higher in boys and at the pre-puberty ages. There are significant differences based on the reference system used. It is important to correctly choose the reference for the definition of overweight and obesity to have the correct estimation of the target for public health measures.

Are there birth cohort effects in disparities in child obesity by maternal education?

BACKGROUND

Children belonging to the same birth cohort (i.e., born in the same year) experience shared exposure to a common obesity-related milieu during the critical early years of development-e.g., secular beliefs and feeding practices, adverse chemical exposures, food access and nutrition assistance policies-that set the stage for a shared trajectory of obesity as they mature. Fundamental cause theory suggests that inequitable distribution of recent efforts to stem the rise in child obesity may exacerbate cohort-based disparities over time.

METHODS

Data were from electronic health records spanning 2007-2016 linked to birth records for children ages 2-19 years. We used hierarchical age-period-cohort models to investigate cohort effects on disparities in obesity related to maternal education. We hypothesized that maternal education-based disparities in prevalence of obesity would be larger among more recent birth cohorts.

RESULTS

Sex-stratified models adjusted for race/ethnicity showed substantial obesity disparities by maternal education that were evident even at young ages: prevalence among children with maternal education < high school compared to maternal college degree was approximately three times as high among girls and twice as high among boys. For maternal education < high school, disparities compared to maternal college degree were higher in more recent birth cohorts. Among girls, this disparity cohort effect was evident at younger ages (at age 4, the disparity increased by 4 [0.1-8] percentage points per 5 birth years), while among boys it was larger at older ages (at age 16, the disparity increased by 7 [1-14] percentage points per 5 birth years).

CONCLUSIONS

There may be widening maternal education-based disparities in child obesity by birth cohort at some ages.