Dataset Information

Increased obesity in children living in rural communities of Louisiana.

ABSTRACT: Rates of obesity among children have been rising in recent years. Information on the prevalence of obesity in children living in rural communities is needed. We report the prevalence of overweight and obesity in children enrolled in grades 4 to 6 who live in rural areas of Louisiana, USA.These data were collected as baseline assessment for the Louisiana (LA) Health project. Height, weight, and estimates of body fat (using body impedance analysis) were collected on 2 709 children. Average age was 10.5 years and the sample composition was 57.3% girls, 61.7% African-American, 36.0% Caucasian, and 2.3% other minority. A majority of children (77%) met the criterion for poverty status.The distribution of body mass index (BMI) percentile was highly skewed toward obesity. The most frequent BMI percentile scores were 98(th) and 99(th) percentile. Using Centers for Disease Control and Prevention (CDC) norms, the overall prevalence of obesity was 27.4%, and for overweight was 45.1%, of which 17.7% were between the 85(th) and 95(th) percentile. The prevalence of childhood overweight and obesity were much higher than the national norm and this increased prevalence was observed in both genders and in Caucasian and African-American children.The prevalence of childhood overweight and obesity was found to be much higher in rural and primarily poor (77%) children living in Louisiana when compared with national norms. This observation suggests that rural children from Louisiana may be experiencing an epidemic of obesity that exceeds national prevalence estimates.

SUBMITTER: Williamson DA

PROVIDER: S-EPMC2725211 | biostudies-literature | 2009

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Increased obesity in children living in rural communities of Louisiana.

Williamson Donald A DA Champagne Catherine M CM Han Hongmei H Harsha David D Martin Corby K CK Newton Robert L RL Ryan Donna H DH Sothern Melinda S MS Stewart Tiffany M TM Webber Larry S LS

International journal of pediatric obesity : IJPO : an official journal of the International Association for the Study of Obesity 20090101 3

<h4>Objective</h4>Rates of obesity among children have been rising in recent years. Information on the prevalence of obesity in children living in rural communities is needed. We report the prevalence of overweight and obesity in children enrolled in grades 4 to 6 who live in rural areas of Louisiana, USA.<h4>Methods and procedures</h4>These data were collected as baseline assessment for the Louisiana (LA) Health project. Height, weight, and estimates of body fat (using body impedance analysis) ...[more]

PMID: 19089707

Similar Datasets

Project description:BackgroundProcess evaluation can illuminate barriers and facilitators to intervention implementation as well as the drivers of intervention outcomes. However, few obesity intervention studies have documented process evaluation methods and results. Community-based participatory research (CBPR) requires that process evaluation methods be developed to (a) prioritize community members' power to adapt the program to local needs over strict adherence to intervention protocols, (b) share process evaluation data with implementers to maximize benefit to participants, and (c) ensure partner organizations are not overburdened. Co-designed with low-income parents using CBPR, Communities for Healthy Living (CHL) is a family-centered intervention implemented within Head Start to prevent childhood obesity and promote family well-being. We are currently undertaking a randomized controlled trial to test the effectiveness of CHL in 23 Head Start centers in the greater Boston area. In this protocol paper, we outline an embedded process evaluation designed to monitor intervention adherence and adaptation, support ongoing quality improvement, and examine contextual factors that may moderate intervention implementation and/or effectiveness.MethodsThis mixed methods process evaluation was developed using the Pérez et al. framework for evaluating adaptive interventions and is reported following guidelines outlined by Grant et al. Trained research assistants will conduct structured observations of intervention sessions. Intervention facilitators and recipients, along with Head Start staff, will complete surveys and semi-structured interviews. De-identified data for all eligible children and families will be extracted from Head Start administrative records. Qualitative data will be analyzed thematically. Quantitative and qualitative data will be integrated using triangulation methods to assess intervention adherence, monitor adaptations, and identify moderators of intervention implementation and effectiveness.DiscussionA diverse set of quantitative and qualitative data sources are employed to fully characterize CHL implementation. Simultaneously, CHL's process evaluation will provide a case study on strategies to address the challenges of process evaluation for CBPR interventions. Results from this process evaluation will help to explain variation in intervention implementation and outcomes across Head Start programs, support CHL sustainability and future scale-up, and provide guidance for future complex interventions developed using CBPR.Trial registrationClinicalTrials.gov, NCT03334669 . Registered on October 10, 2017.

Project description:Background Growth references (growth charts) are used to assess the nutritional and growth status of children. In developed countries, there are growth charts based on the country’s national surveys. However, many developing countries do not have their own growth references, so they usually use WHO and US CDC references. In such cases, it is known that the growth statuses of the subject are underestimated or overestimated. This study sought to accurately assess the growth status of children by developing a local growth chart for children living in the Southern Province of Zambia. Methods Anthropometric measurements were conducted on 1135 children aged 2–19 years in the target area. The height and weight data for each sex and age were smoothed using the LMS method, and a percentile curve of height and weight was developed. Based on the US CDC reference, three indicators of undernutrition (stunting, underweight, and thinness) were calculated to determine the proportion of those who are undernourished (z-score < ??2). Results The 50th percentile curve of height and weight in the growth chart of the target population was equivalent to the 5–25th percentile curve of the US reference, and the children of Zambia were both small and of low weight. Conversely, although many subjects are small and of low weight, it was found that there were few poor nutritional statuses as judged by BMI. Through comparison with a previous study in the Southern Province of Zambia, a secular change in the growth of children over 20 years was found. Although there was no significant increase in height and weight in the older age group, there was a significant increase in height and weight at an earlier age. This is thought to be due to an increase in the growth rate of children due to improved socioeconomic conditions, women’s education level, and improvement in health care standards. Conclusions The subjects were small and of low weight compared to the US population, but the nutritional status was not poor by BMI. The height and weight at an earlier age increased compared to 20 years ago. Supplementary Information The online version contains supplementary material available at 10.1186/s40101-020-00244-8.

Dataset Information

Increased obesity in children living in rural communities of Louisiana.

Publications

Increased obesity in children living in rural communities of Louisiana.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets