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Longitudinal Study of Neighborhood Predictors of CVD

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. Identifier: NCT00046657
Recruitment Status : Completed
First Posted : October 1, 2002
Last Update Posted : July 29, 2016
Information provided by:
National Heart, Lung, and Blood Institute (NHLBI)

Brief Summary:
To examine how neighborhood-level factors interact with individual characteristics to predict incidence of cardiovascular disease and all-cause mortality.

Condition or disease
Cardiovascular Diseases Heart Diseases

Detailed Description:


There are few comprehensive databases that allow for a longitudinal examination of how neighborhood-level factors may interact with individual characteristics to predict incident cases of cardiovascular disease (CVD) and all-cause mortality. This cross-institutional project joins investigators from Karolinska Institutet in Sweden and Stanford University, known for their expertise in immigrant health and social inequalities in CVD.


The study examines how neighborhood social characteristics (e.g., neighborhood socioeconomic status (SES), social disintegration, socioeconomic and ethnic segregation, social capital), physical environments (e.g., geocoded assets including goods and services contributing to health such as educational and recreational resources; barriers to health including pollution, industries, waste dumps, criminal activity, alcohol and fast food outlets) and individual factors (e.g., SES, cardiovascular disease {CVD} risk factors, country of birth and social networks) may interrelate to predict CVD [morbidity and mortality] and all-cause mortality. Data will be used from a newly created, comprehensive set of Swedish databases, MigMed and MigSALLS. MigMed (1990-2002) includes data for the entire Swedish population of 6 million women and men aged 25 and older, of whom 600,000 are first generation immigrants. Their addresses have been geocoded, yielding 9,677 neighborhoods, which will be reduced to a smaller number of defined units by cluster analyses. MigMed includes an annual assessment of individual-level sociodemographic and health indicators. Data will also be analyzed from MigSALLS (1988-2002), which includes more in-depth data from face-to-face interviews with a representative sample of approximately 18,000 women and men aged 25-74, of whom 2,000 are first generation immigrants. MigSALLS contains similar individual- and neighborhood-level factors as MigMed, as well as extensive information on factors that may mediate relationships between neighborhoods and CVD outcomes (e.g., CVD risk factors such as smoking, weight, physical activity, and blood pressure). Information from these two datasets will be matched to hospital and death records (300,000 deaths and 140,000 incidence cases of CVD expected between 1988-2002), thus creating one of the largest databases in the world involving men and women from diverse SES levels and countries of origin.

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Study Type : Observational
Study Start Date : September 2002
Actual Primary Completion Date : August 2007
Actual Study Completion Date : August 2007

Information from the National Library of Medicine

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Ages Eligible for Study:   25 Years to 100 Years   (Adult, Older Adult)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   No
No eligibility criteria

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its identifier (NCT number): NCT00046657

Sponsors and Collaborators
National Heart, Lung, and Blood Institute (NHLBI)
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OverallOfficial: Jan Sundquist Karolinska Institutet
Layout table for additonal information Identifier: NCT00046657    
Other Study ID Numbers: 1190
R01HL071084 ( U.S. NIH Grant/Contract )
First Posted: October 1, 2002    Key Record Dates
Last Update Posted: July 29, 2016
Last Verified: January 2008
Additional relevant MeSH terms:
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Cardiovascular Diseases
Heart Diseases