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Overweight Adults--Ethnic, SES and Behavioral Influences

This study has been completed.
Sponsor:
ClinicalTrials.gov Identifier:
NCT00005752
First Posted: May 26, 2000
Last Update Posted: January 12, 2016
The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details.
Collaborator:
National Heart, Lung, and Blood Institute (NHLBI)
Information provided by:
Stanford University
  Purpose
To examine the effects of ethnicity, socioeconomic status (SES) and behavior in overweight adults.

Condition
Cardiovascular Diseases Heart Diseases Obesity

Study Type: Observational

Further study details as provided by Stanford University:

Study Start Date: April 1999
Estimated Study Completion Date: March 2002
Detailed Description:

BACKGROUND:

In 1999, more than 55 percent of United States adults were overweight, an increase of 8 percent in fifteen years. Because overweight is associated with cardiovascular disease (CVD) morbidity and mortality, the alarming increase in overweight underscored the need for innovative and effective weight-loss interventions. Tailored interventions specifically designed for high-risk subgroups can compliment existing population-based approaches. However, before designing such interventions, sociodemographic characteristics of those at high risk must be identified.. Although past studies have shown that ethnicity is associated with overweight, these studies suffered from potential confounding from SES because ethnic minority groups are disproportionately poor. Past studies have been compromised by limited sample size at the extremes of SES such as higher SES Mexican-Americans or Blacks, and/or lower SES Whites.

Weight loss is affected by multiple perceptions and behaviors, such as perceptions of overweight, physical activity, dietary habits, smoking, and alcohol use. Although past epidemiological research has investigated the independent effects of such influences on weight, research to date has not identified whether distinct clusters of weight perceptions and behaviors exist among overweight adults. Given that such clusters may differ by sociodemographic characteristics, identifying clusters may contribute to the design of innovative and tailored weight-loss interventions that address the presence of multiple influences on weight loss and increase the likelihood of successful interventions.

DESIGN NARRATIVE:

The study had four specific aims: (1) to identify subgroups at high risk of overweight based on sociodemographic characteristics (e.g., ethnicity and SES): (2a) to determine whether distinct clusters of weight perceptions and behaviors exist among overweight adults and (2b) to determine whether the clusters differ by sociodemographic characteristics; (3) to determine whether clusters in the overweight sample exist among normal-weight adults, and (4) to propose tailored weight-loss interventions to be tested empirically in the future. Data were analyzed, by gender, for 3203 Black, 2989 Mexican-American, and 3761 white men and women, ages 25-64, who participated in the third National Health and Nutrition Examination Survey (NHANES III), 1988-1994). This national survey of the United States population over-sampled by the two largest ethnic minorities, Blacks and Mexican-Americans, and provided sufficient sample sizes at the extremes of SES.

  Eligibility

Information from the National Library of Medicine

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Ages Eligible for Study:   25 Years to 64 Years   (Adult)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   No
Criteria
No eligibility criteria
  Contacts and Locations
No Contacts or Locations Provided
  More Information

Publications:
ClinicalTrials.gov Identifier: NCT00005752     History of Changes
Other Study ID Numbers: 5086
R03HL060749 ( U.S. NIH Grant/Contract )
First Submitted: May 25, 2000
First Posted: May 26, 2000
Last Update Posted: January 12, 2016
Last Verified: August 2004

Additional relevant MeSH terms:
Cardiovascular Diseases
Heart Diseases