Cited by 131Health disparities and outcomesCardiovascular Health and Risk FactorsPublic Health and Social Inequalities

The association of personal and neighborhood socioeconomic indicators with subclinical cardiovascular disease in an elderly cohort. The cardiovascular health study

Open access
Nordstrom, Cheryl K., Diez Roux, Ana V., Jackson, Sharon A., Gardin, Julius M.·2004·Social Science & Medicine

Abstract

There has been recent interest in determining whether neighborhood characteristics are related to the cardiovascular health of residents. However, there are no data regarding the relationship between neighborhood socioeconomic status (SES) and prevalence of subclinical cardiovascular disease (CVD) in the elderly. We related personal SES (education, income, and occupation type) and neighborhood socioeconomic characteristics (a block-group score summing six variables reflecting neighborhood income and wealth, education, and occupation) to the prevalence of subclinical CVD (asymptomatic peripheral vascular disease or carotid atherosclerosis, electrocardiogram or echocardiogram abnormalities, and/or positive responses to Rose Questionnaire claudication or angina pectoris) among 3545 persons aged 65 and over, without prevalent CVD, in the Cardiovascular Health Study. Sixty percent of participants had at least one indicator of subclinical disease. Compared to those without, those with subclinical disease had significantly lower education, income, and neighborhood scores and were more likely to have blue-collar jobs. After adjustment for age, gender, and race, those in the lowest SES groups had increased prevalence of subclinical disease compared with those in the highest SES groups (OR = 1.50; 95% CI 1.21, 1.86 for income; OR = 1.41; 95% CI 1.18, 1.69 for education; OR = 1.39; 95% CI 1.16, 1.67 for block-group score). Those reporting a blue-collar lifetime occupation had greater prevalence of subclinical disease relative to those reporting a white-collar occupation (OR = 1.29; 95% CI 1.02-1.59). After adjustment for behavioral and biomedical risk factors, all of these associations were reduced. Neighborhood score tended to remain inversely associated with subclinical disease after adjustment for personal socioeconomic indicators but associations were not statistically significant. Personal income and blue-collar occupation remained significantly associated with subclinical disease after simultaneous adjustment for neighborhood score and education. Personal and neighborhood socioeconomic indicators were associated with subclinical disease prevalence in this elderly cohort. These relationships were reduced after controlling for traditional CVD risk factors.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.socscimed.2004.03.017

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Socioeconomic status is inversely associated with all phases of CVD progression, from the onset of risk factors through mortality due to CVD.

    “The inverse association of socioeconomic status (SES) with all phases of the progression of CVD is well established, from the onset of risk factors through mortality due to CVD [41-45].”

    From Prevalence of cardiovascular disease among Asian, Pacific Islander and multi-race populations in Hawai’i and California (2023) · cites this paper as [45]

    The Introduction (page not provided) reports inverse associations between socioeconomic position and CVD prevalence and incidence, and discusses socioeconomic differences in CVD risk factors. The Discussion (page not provided) reports an association with subclinical disease in older adults. Our copy does not establish the claimed association across all phases through CVD mortality. (LLM, conf=0.87)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 11

  1. Diez-Roux, A. V. (2001). Investigating neighborhood and area effects on health. American Journal of Public Health, 91, 1783-1789.
  2. Diez Roux, A. V., Kiefe, C. I., & Jacobs, D. R., et al. (2001a). Area characteristics and individual-level socioeconomic position indicators in three population-based epidemiologic studies. Annals of Epidemiology, 11, 395-405.
  3. Diez-Roux, A. V., Nieto, F. J., Tyroler, H. A., Crum, L. D., & Szklo, M. (1995). Social inequalities and atherosclerosis. The atherosclerosis risk in communities study. American Journal of Epidemiology, 141, 960-972.
  4. Diez-Roux, A. V., Stein Merkin, S., & Arnett, D., et al. (2001b). Neighborhood of residence and incidence of coronary heart disease. New England Journal of Medicine, 345, 99-106.
  5. Feldman, J. J., Makuc, D. M., & Kleinman, J. C., et al. (1989). National trends in educational differentials in mortality. American Journal of Epidemiology, 129, 919-933.
  6. Hodis, H. N., Mack, W. J., & LaBree, L., et al. (1998). The role of carotid arterial intima-media thickness in predicting clinical coronary events. Annals of Internal Medicine, 128, 262-269.
  7. Kuller, L., Borhani, N. O., & Furberg, C., et al. (1994). Prevalence of subclinical atherosclerosis and cardiovascular disease and association with risk factors in the cardiovas- cular health study. American Journal of Epidemiology, 139, 1164-1179.
  8. Lamont, D., Parker, L., & White, M., et al. (2000). Risk of cardiovascular disease measured by carotid intima-media thickness at age 49-51: Lifecourse study. British Medical Journal, 320, 273-278.
  9. Robert, S., & House, J. S. (1996). SES differentials in health by age and alternative indicators of SES. Journal of Aging and Health, 8, 359-388.
  10. Rose, G., & Marmot, M. G. (1981). Social class and coronary heart disease. British Heart Journal, 45, 13-19.
  11. Rosvall, M., Ostergren, P. O., Hedblad, B., Isacsson, S. O., Janzon, L., & Berglund, G. (2000). Occupational status, educational level, and the prevalence of carotid athero- sclerosis in a general population sample of middle-aged Swedish men and women: Results from the Malmo diet and cancer study. American Journal of Epidemiology, 152, 334-346.

Cited by

Sorted by citations

Authors
Nordstrom, C. K., Diez Roux, A. V., Jackson, S. A., & Gardin, J. M.
Affiliations
  • University of Michigan (US)
  • Wake Forest University Health Sciences (US)
  • Wayne State University (US)
Corresponding author
Nordstrom, Cheryl K.
Venue
Social Science & Medicine
Publisher
Elsevier BV
Published
2004-11
Volume
59
Issue
10
Pages
2139-2147
ISSN
0277-9536 (ISSN-L)
OpenAlex
W1981780211
Cited by
131
References
4
Citations by year
2026: 2 · 2025: 2 · 2024: 4 · 2023: 6 · 2022: 6 · 2021: 2 · 2020: 6 · 2019: 4 · 2018: 4 · 2017: 2 · 2016: 8 · 2015: 4 · 2014: 6 · 2013: 6 · 2012: 8
FWCI
7.30
Type
journal article
Language
en
Open access
Locations
  • Social Science & Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • Deep Blue (University of Michigan) (submittedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
  • Wake Forest University
  • University of Washington
  • Johns Hopkins University
  • University of Pittsburgh
  • National Institutes of Health (n01hc085082-026, n01hc085081-021, n01hc085079-024, n01hc085084-005, n01hc085085-011, n01hc085083-027, n01hc085080-026, n01hc085086-022, RC-HL35129, 5p60hl015103-15, 5r29hl059386-05, RC-HL15103)
  • University of California, Irvine
  • National Heart, Lung, and Blood Institute (N01-HC-85081, N01HC85085, N01HC-85083, R29 HL59386, N01HC85082, N01 HC85086, N01HC85080, N01-HC85079, ­N01-HC85084)
Topics
  • Social Sciences › Health › Health disparities and outcomes
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
  • Social Sciences › Health › Public Health and Social Inequalities
Keywords
subclinical cardiovascular disease, neighborhood socioeconomic status, older adults, peripheral vascular disease, carotid atherosclerosis, blue-collar occupations, income, cardiovascular risk factors, Cardiovascular Health Study
MeSH terms
Aged, California, Cardiovascular Diseases, Female, Geography, Medicare, Humans, Male, Maryland, North Carolina, Pennsylvania, Surveys and Questionnaires, Residence Characteristics, Risk Factors, Social Class, Socioeconomic Factors, Cohort Studies

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review