Evidence map›Paper›PMID 15548332›Full record

ArticleInternational journal of health geographics2004

Historical measures of social context in life course studies: retrospective linkage of addresses to decennial censuses.

Kathryn M Rose, Joy L Wood, Sarah Knowles, Ricardo A Pollitt, Eric A Whitsel, Ana V Diez Roux, Dongkeun Yoon, Gerardo Heiss

Abstract read
In one paragraph

Article in International journal of health geographics, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Review
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  10. An effective and efficient approach for manually improving geocoded data.International journal of health geographics · 2008
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Kathryn M RoseDepartment of Epidemiology, School of Public Health, The University of North Carolina at Chapel Hill, USA. kathryn_rose@unc.edu.
Joy L Wood
Sarah Knowles
Ricardo A Pollitt
Eric A Whitsel
Ana V Diez Roux
Dongkeun Yoon
Gerardo Heiss

Funding

LIFE COURSE SES, SOCIAL CONTEXT &CARDIOVASCULAR DISEASER01HL064142 · NHLBI · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI HEISS, GERARDO · 2001 to 2004
$1.7M
NHLBI NIH HHS R01 HL064142
6 · The paper itself

Abstract

backgroundThere is evidence of a contribution of early life socioeconomic exposures to the risk of chronic diseases in adulthood. However, extant studies investigating the impact of the neighborhood social environment on health tend to characterize only the current social environment. This in part may be due to complexities involved in obtaining and geocoding historical addresses. The Life Course Socioeconomic Status, Social Context, and Cardiovascular Disease Study collected information on childhood (1930-1950) and early adulthood (1960-1980) place of residence from 12,681 black and white middle-aged and older men and women from four U.S. communities to link participants with census-based socioeconomic indicators over the life course.

resultsMost (99%) participants were linked to 1930-50 county level socioeconomic census data (the smallest level of aggregation universally available during this time period) corresponding to childhood place of residence. Linkage did not vary by race, gender, birth cohort, or level of educational attainment. A commercial geocoding vendor processed participants' self-reported street addresses for ages 30, 40, and 50. For 1970 and 1980 censuses, spatial coordinates were overlaid onto shape files containing census tract boundaries; for 1960 no shape files existed and comparability files were used. Several methods were tested for accuracy and to increase linkage. Successful linkage to historical census tracts varied by census (66% for 1960, 76% for 1970, 85% for 1980). This compares to linkage rates of 94% for current addresses provided by participants over the course of the ARIC examinations.

conclusionThere are complexities and limitations in characterizing the past social context. However, our results suggest that it is feasible to characterize the earlier social environment with known levels of measurement error and that such an approach should be considered in future studies.

Identifiers

PMID15548332
PMCPMC538253

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.