Related Experiment Video

Updated: May 18, 2026

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
14:43

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

Published on: January 12, 2018

A community-based intervention to prevent obesity beginning at birth among American Indian children: study design and

Njeri Karanja1, Mikel Aickin, Tam Lutz

  • 1Center for Health Research, Kaiser Permanente-Northwest/Hawaii/Southeast, 3800 N. Interstate Avenue, Portland, OR 97227, USA. Njeri.Karanja@kpchr.org

The Journal of Primary Prevention
|September 25, 2012
PubMed

Insights

This study tested an early childhood obesity prevention program for American Indian (AI) children. The multi-component intervention focused on healthy eating and activity, aiming to reduce obesity rates from birth.

Area of Science:

  • Pediatrics
  • Public Health
  • Nutrition Science

Background:

  • Adult obesity has early roots, yet interventions for very young children are scarce.
  • American Indian (AI) children face higher risks for early-onset obesity.
  • Targeting obesity prevention at birth is crucial for at-risk populations.

Purpose of the Study:

  • To test the effectiveness of a community-partnered, multi-component intervention to prevent obesity in AI children from birth.
  • To address key behaviors including breastfeeding, sugar-sweetened beverage intake, solid food introduction, and sedentary lifestyles.

Main Methods:

  • A community-partnered randomized controlled trial (RCT) involving 577 infants from five AI tribes.
  • Tribes were randomized to either the intervention or a comparison group.
  • The intervention included promoting breastfeeding, reducing sugary drinks, timing solid food introduction, and counseling on sedentary behavior.

Main Results:

  • The study is a randomized controlled trial designed to prevent obesity in American Indian children.
  • The intervention targets critical early-life behaviors to mitigate obesity risk.
  • Results are pending from this birth cohort study.

Conclusions:

  • Early, community-based interventions are vital for preventing childhood obesity, especially in high-risk groups.
  • The Prevention of Toddler Obesity and Teeth Health Study (PTOTS) provides a model for culturally relevant obesity prevention.
  • Further research is needed to evaluate the long-term impact of such interventions.

More Related Videos

Assessment of Child Anthropometry in a Large Epidemiologic Study09:36

Assessment of Child Anthropometry in a Large Epidemiologic Study

Published on: February 2, 2017

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India09:33

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India

Published on: December 23, 2022

Related Concept Videos

Obesity01:24

Obesity

The Body Mass Index (BMI) is a numerical value derived from a person's weight and height, used to categorize individuals into weight ranges. It is calculated using the formula: weight in kilograms divided by height in meters squared. Obesity is a health condition characterized by excessive accumulation of adipose tissue that poses health risks, often diagnosed with a BMI ≥ 30. This excess fat storage occurs when surplus dietary calories are converted into triglycerides and stored in adipocytes...
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.
Residual Plots01:07

Residual Plots

A residual plot is a statistical representation of data used to analyze correlation and regression results. It helps verify the requirements for drawing specific conclusions about correlation and regression. To obtain the residual plot, first, the residual for each data value is calculated, which is simply the vertical distance between the observed and the predicted value obtained from the regression equation.
When the residual values are plotted against the variable x, it is called a residual...
Community Based Intervention01:30

Community Based Intervention

Community-based interventions in mental health represent a paradigm shift from institution-centered care to treatments embedded within the fabric of local communities. By prioritizing inclusion and leveraging existing societal structures, this approach fosters a supportive environment conducive to addressing mental health challenges while promoting individual dignity and agency.
Foundations of Community Mental Health Programs
Central to the success of community-based interventions is the...
Models of Health Promotion and Illness Prevention I01:25

Models of Health Promotion and Illness Prevention I

A model is a theoretical way to understand a concept or an idea. Models can overcome barriers to health regardless of diverse economic and cultural backgrounds. In addition, models make the task easier by providing different ways to approach complex issues. There are two major health promotion models: the health belief model and the health promotion model.
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
Models of Health Promotion and Illness Prevention II01:18

Models of Health Promotion and Illness Prevention II

The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
The agent-host-environment model states that disease results from...