The DOI matches its Crossref record.
Employment grade and coronary heart disease in British civil servants.
Open accessAbstract
The relationship between grade of employment, coronary risk factors, and coronary heart disease (CHD) mortality has been investigated in a longitudinal study of 17 530 civil servants working in London. After seven and a half years of follow-up there was a clear inverse relationship between grade of employment and CHD mortality. Men in the lowest grade (messengers) had 3.6 times the CHD mortality of men in the highest employment grade (administrators). Men in the lower employment grades were shorter, heavier for their height, had higher blood pressure, higher plasma glucose, smoked more, and reported less leisure-time physical activity than men in the higher grades. Yet when allowance was made for the influence on mortality of all of these factors plus plasma cholesterol, the inverse association between grade of employment and CHD mortality was still strong. It is concluded that the higher CHD mortality experienced by working class men, which is present also in national statistics, can be only partly explained by the established coronary risk factors.
Overview
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.
Integrity signals
Registry
Cites
Statistics
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
The social determinants of health: It’s time to consider the causes of the causes
Braveman, P., & Gottlieb, L. (2014) · Public Health Reports® · doi:10.1177/00333549141291s206 · Cited by 3,861
Rozanski, A., Blumenthal, J. A., & Kaplan, J. (1999) · Circulation · doi:10.1161/01.cir.99.16.2192 · Cited by 2,846
U.S. Disparities in Health: Descriptions, Causes, and Mechanisms
Adler, N. E., & Rehkopf, D. H. (2008) · Annual Review of Public Health · doi:10.1146/annurev.publhealth.29.020907.090852 · Cited by 1,212
Behavioral science at the crossroads in public health: Extending horizons, envisioning the future
Glass, T. A., & McAtee, M. J. (2006) · Social Science & Medicine · doi:10.1016/j.socscimed.2005.08.044 · Cited by 821
Socioeconomic status and health: the role of subjective social status
Demakakos, P., Nazroo, J., Breeze, E., & Marmot, M. (2008) · Social Science & Medicine · doi:10.1016/j.socscimed.2008.03.038 · Cited by 719
Woodward, M., Brindle, P., & Tunstall-Pedoe, H. (2007) · Heart · doi:10.1136/hrt.2006.108167 · Cited by 667
Lifecourse Health Development: Past, Present and Future
Halfon, N., Larson, K., Lu, M., Tullis, E., & Russ, S. (2014) · Maternal and Child Health Journal · doi:10.1007/s10995-013-1346-2 · Cited by 567
Social capital and health: Implications for public health and epidemiology
Lomas, J. (1998) · Social Science & Medicine · doi:10.1016/s0277-9536(98)00190-7 · Cited by 500
Status Syndrome: A Challenge to Medicine
Marmot, M. G. (2006) · JAMA · doi:10.1001/jama.295.11.1304 · Cited by 372
Self-citationStranges, S., Dorn, J. M., Shipley, M. J., Kandala, N.-B., Trevisan, M., Miller, M. A., Donahue, R. P., Hovey, K. M., Ferrie, J. E., Marmot, M. G., et al. (2008) · American Journal of Epidemiology · doi:10.1093/aje/kwn337 · Cited by 344
Self-citationStress and Inflammation in Coronary Artery Disease: A Review Psychoneuroendocrineimmunology-Based
Fioranelli, M., Bottaccioli, A. G., Bottaccioli, F., Bianchi, M., Rovesti, M., & Roccia, M. G. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.02031 · Cited by 302
Stranges, S., Cappuccio, F. P., Kandala, N.-B., Miller, M. A., Taggart, F. M., Kumari, M., Ferrie, J. E., Shipley, M. J., Brunner, E. J., & Marmot, M. G. (2008) · American Journal of Epidemiology · doi:10.1093/aje/kwm302 · Cited by 196
Self-citationMackenbach, J. P., van de Mheen, H., & Stronks, K. (1994) · Social Science & Medicine · doi:10.1016/0277-9536(94)90399-9 · Cited by 195
Socioeconomic gradients and distribution of diabetes, hypertension, and obesity in India
Corsi, D. J., & Subramanian, S. V. (2019) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.0411 · Cited by 152
A Historical Overview of Health Disparities and the Potential of eHealth Solutions
Gibbons, M. C. (2005) · Journal of Medical Internet Research · doi:10.2196/jmir.7.5.e50 · Cited by 137
Neighborhood of Residence is Associated with Daily Adherence to CPAP Therapy
Platt, A. B., Field, S. H., Asch, D. A., Chen, Z., Patel, N. P., Gupta, R., Roche, D. F., Gurubhagavatula, I., Christie, J. D., & Kuna, S. T. (2009) · Sleep · doi:10.1093/sleep/32.6.799 · Cited by 128
Wamala, S. P., Mittleman, M. A., Schenck-Gustafsson, K., & Orth-Gomér, K. (1999) · American Journal of Public Health · doi:10.2105/ajph.89.3.315 · Cited by 127
Addressing Families’ Unmet Social Needs Within Pediatric Primary Care: The Health Leads Model
Garg, A., Marino, M., Vikani, A. R., & Solomon, B. S. (2012) · Clinical Pediatrics · doi:10.1177/0009922812437930 · Cited by 114
Health in an unequal world: social circumstances, biology and disease
Marmot, M. (2006) · Clinical Medicine · doi:10.7861/clinmedicine.6-6-559 · Cited by 68
Self-citation(2007) · University of Huddersfield Repository (University of Huddersfield) · Cited by 63
The Changing (Dis-)Utility of Work
Kaplan, G., & Schulhofer-Wohl, S. (2018) · Journal of Economic Perspectives · doi:10.1257/jep.32.3.239 · Cited by 60
Franco, O. H., Wong, Y. L., Kandala, N.-B., Ferrie, J. E., Dorn, J. M., Kivimäki, M., Clarke, A., Donahue, R. P., Manoux, A. S., Freudenheim, J. L., et al. (2012) · European Journal of Epidemiology · doi:10.1007/s10654-012-9664-z · Cited by 48
Health Care Steps Up to Social Determinants of Health: Current Context
Solomon, L. S., & Kanter, M. H. (2018) · The Permanente Journal · doi:10.7812/tpp/18-139 · Cited by 45
Cooper, R., Steinhauer, M., Miller, W., David, R., & Schatzkin, A. (1981) · International Journal of Health Services · doi:10.2190/e437-2kb5-4hm0-7nj0 · Cited by 36
Metadata
- Authors
- Marmot, M. G., Rose, G., Shipley, M., & Hamilton, P. J.
- Venue
- Journal of Epidemiology and Community Health
- Publisher
- BMJ
- Published
- 1978-12
- Volume
- 32
- Issue
- 4
- Pages
- 244-249
- ISSN
- 0141-7681 (ISSN-L)
- 1470-2738
- OpenAlex
- W2148593775
- Cited by
- 1,065
- References
- 0
- FWCI
- 33.09
- Type
- journal article
- Language
- en
- Open access
- bronze
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
