Association Between Abdominal Body Composition, Inflammation, and Risk for Cardiovascular Disease (The MESA ABD Study)

NCT ID: NCT00612365

Last Updated: 2016-07-29

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

1975 participants

Study Classification

OBSERVATIONAL

Study Start Date

2007-09-30

Study Completion Date

2013-06-30

Brief Summary

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Obesity is a growing public health concern, with approximately 31% of Americans considered obese. The link between abdominal obesity and cardiovascular disease (CVD) has been well established, but the effect of distinct types of abdominal fat tissue on CVD risk is not well known. The rate of obesity and the distribution of abdominal fat differ with age, sex, and ethnicity. These differences may have important implications for determining ethnic-specific relationships between abdominal body composition (ABC), inflammation, and CVD events. This study will evaluate the association between measures of abdominal fat, CVD risk, and inflammation in terms of ethnicity-, sex-, and age-specific differences.

Detailed Description

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Abdominal obesity is a serious condition and increases the risk for potentially life-threatening cardiovascular diseases (CVDs). Abdominal fat is made up of structurally and functionally different tissues, which include visceral fat, subcutaneous fat, and intramuscular fat. The distribution and levels of these fat tissues are highly variable among obese people, and the effects of ABC differences on cardiovascular health are not well known. Notably, the standard measure of body mass index cannot distinguish between different kinds or ratios of tissue types that make up body weight and, therefore, may not be the best measurement tool. Determining the specific measures of these tissue types by computed tomography (CT) may provide better insight into the varied CVD risk seen among different ethnicities, sexes, and ages. This study will evaluate the association between volumetric measures of ABC, CVD risk, and inflammation in terms of ethnicity-, sex-, and age-specific variables.

This substudy will use data and specimens, including blood samples and CT scans, from participants in the Multi-Ethnic Study of Atherosclerosis (MESA) for abdominal aortic calcium (AAC). Stored blood samples will be used to perform assays for several measures of inflammation and to generate new data on biomarkers and subclinical CVD measures. The existing CT scans will be used to calculate five discrete volumetric measures of ABC, which will include subcutaneous fat, visceral fat, intramuscular fat, the visceral fat to visceral cavity ratio, and the lean muscle to visceral fat ratio. There will be no study visits for this study.

The study completion date listed in this record was obtained from the "Completed Date" entered in the Query View Report System (QVR).

Conditions

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Cardiovascular Diseases Obesity

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Study Groups

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1

Participants from the Multi-Ethnic Study of Atherosclerosis (MESA) for abdominal aortic calcium (AAC) who have undergone computed tomography (CT) scans of the abdomen

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

* Participant in the MESA study

Exclusion Criteria

* History of cardiovascualar disease
Minimum Eligible Age

45 Years

Maximum Eligible Age

84 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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National Heart, Lung, and Blood Institute (NHLBI)

NIH

Sponsor Role lead

Responsible Party

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University of California San Diego

Principal Investigators

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Matthew A. Allison, MD, MPH

Role: PRINCIPAL_INVESTIGATOR

University of California, San Diego

Locations

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University of California San Diego

La Jolla, California, United States

Site Status

Countries

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United States

Other Identifiers

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R01HL088451

Identifier Type: NIH

Identifier Source: secondary_id

View Link

1419

Identifier Type: -

Identifier Source: org_study_id

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