Systematic Review of the Influence of Childhood Socioeconomic Circumstances on Risk for Cardiovascular Disease in Adulthood
Abstract
Purpose Adverse socioeconomic circumstances in childhood may confer a greater risk for adult cardiovascular disease (CVD). The purpose of this review is to systematically evaluate evidence for an association between socioeconomic circumstances during childhood and specific CVD subtypes, independent of adult socioeconomic conditions. Methods We systematically retrieved individual-level studies of morbidity and mortality from CVD and specific CVD subtypes linked to early life influences, including coronary heart disease (CHD), ischemic and hemorrhagic stroke, peripheral vascular disease, markers of atherosclerosis (carotid intima-media thickness and stenosis), and rheumatic heart disease. Indicators of socioeconomic position in childhood varied, although most studies relied on father's occupation. Results We located 40 studies (24 prospective, 11 case-control, and 5 cross-sectional) reported in 50 publications. Thirty-one studies (19 prospective, 7 case-control, and all 5 cross-sectional) found a robust inverse association between childhood circumstances and CVD risk, although findings sometimes varied among specific outcomes, socioeconomic measures, and sex. Case-control studies reported mixed results. The association was stronger for stroke and, in particular, hemorrhagic stroke, than for CHD. Childhood socioeconomic conditions remained important predictors of CVD, even in younger cohorts. Conclusion Childhood and adulthood socioeconomic circumstances are important determinan…
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
Other medical conditions such as cardiovascular disease, arthritis, and diabetes are disproportionately distributed according to socio-demographic characteristics.
“other medical conditions, such as cardiovascular disease (Galobardes, Smith, and Lynch 2006; Karlamangla, Singer, Williams, Schwartz, Matthews, Kiefe, and Seeman 2005), arthritis and diabetes (Blackwell, Hayward, and Crimmins 2001), are disproportionately distributed according to socio-demographic characteristics.”
From Disproportionality and Learning Disabilities: Parsing Apart Race, Socioeconomic Status, and Language (2011) · cites this paper as Galobardes, Smith, and Lynch 2006
No citation lists for this paper
No citation lists for this paper yet — checked again daily.
References 98 · Cited by 643
- Authors
- Galobardes, B., Smith, G. D., & Lynch, J. W.
- Affiliations
- University of Bristol (GB)
- Corresponding author
- Galobardes, Bruna
- Venue
- Annals of Epidemiology
- Publisher
- Elsevier BV
- Published
- 2006-02
- Volume
- 16
- Issue
- 2
- Pages
- 91-104
- ISSN
- 1047-2797 (ISSN-L)
- OpenAlex
- W2077821770
- Cited by
- 643
- References
- 98
- Citations by year
- 2026: 15 · 2025: 24 · 2024: 22 · 2023: 67 · 2022: 35 · 2021: 28 · 2020: 36 · 2019: 19 · 2018: 29 · 2017: 36 · 2016: 39 · 2015: 56 · 2014: 39 · 2013: 27 · 2012: 32
- FWCI
- 2.29
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annals of Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
- Explore Bristol Research (submittedVersion)
- 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
- cardiovascular risk, coronary artery disease, ischemic stroke, hemorrhagic stroke, peripheral vascular disease, atherosclerosis, carotid intima-media thickness, rheumatic heart disease, socioeconomic position, father's occupation, health disparities, early life influences
- MeSH terms
- Adult, Cardiovascular Diseases, Child, Cross-Sectional Studies, Europe, Humans, Life Style, Poverty, Prospective Studies, Social Class, United States, Case-Control 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