The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Dichotomous or categorical response? Analysing self-rated health and lifetime social class
Abstract
BACKGROUND: Self-rated health is a commonly used measure of health status, usually having three to five categories. The measure is often collapsed into a dichotomous variable of good versus less than good health. This categorization has not yet been justified. METHODS: Using data from the 1958 British birth cohort, we examined the relationship between socioeconomic conditions, indicated by occupational class at four ages, and self-rated health. Results obtained for a dichotomous variable using logistic regression were compared with alternative methods for ordered categorical variables including polytomous regression, cumulative odds, continuation ratio and adjacent categories models. RESULTS AND CONCLUSIONS: Findings concerning the relationship between socioeconomic position and self-rated health yielded by a logistic regression model were confirmed by alternative statistical methods which incorporate the ordered nature of self-rated health. Similarity of results was found regarding size and significance of main effects, type of association and interactive effects.
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
Cites
(1990) · Choice Reviews Online · doi:10.5860/choice.27-3338 · Cited by 35,305
McCullagh, P., & Nelder, J. A. (1989) · doi:10.1007/978-1-4899-3242-6 · Cited by 16,836
Hapeman, D. E. (1991) · Technometrics · doi:10.1080/00401706.1991.10484817 · Cited by 9,373
Self-rated health and mortality: a review of twenty-seven community studies.
Idler, E. L., & Benyamini, Y. (1997) · Journal of Health and Social Behavior · doi:10.2307/2955359 · Cited by 8,598
Generalized Linear Models (2nd ed.).
Therneau, T. M., McCullagh, P., & Nelder, J. A. (1993) · Journal of the American Statistical Association · doi:10.2307/2290358 · Cited by 4,907
Regression Models for Ordinal Data
McCullagh, P. (1980) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1980.tb01109.x · Cited by 4,453
Schuenemeyer, J. H., McCullagh, P., & Nelder, J. A. (1992) · Technometrics · doi:10.2307/1269238 · Cited by 2,667
The Analysis of Cross-Classified Categorical Data
Drane, J. W. (1979) · Technometrics · doi:10.1080/00401706.1979.10489789 · Cited by 1,941
Estimation of the probability of an event as a function of several independent variables
WALKER, S. H., & DUNCAN, D. B. (1967) · Biometrika · doi:10.1093/biomet/54.1-2.167 · Cited by 1,682
Analysis of Ordinal Categorical Data.
Tsutakawa, R. K., & Agresti, A. (1985) · Journal of the American Statistical Association · doi:10.2307/2288509 · Cited by 1,628
Cited by
Deep infiltrating endometriosis: relation between severity of dysmenorrhoea and extent of disease
Chapron, C. (2003) · Human Reproduction · doi:10.1093/humrep/deg152 · Cited by 311
A National Mental Health Profile of Parents of Children with Medical Complexity
Bayer, N. D., Wang, H., Yu, J. A., Kuo, D. Z., Halterman, J. S., & Li, Y. (2021) · PEDIATRICS · doi:10.1542/peds.2020-023358 · Cited by 103
Simões, D., Araújo, F. A., Severo, M., Monjardino, T., Cruz, I., Carmona, L., & Lucas, R. (2017) · Arthritis Care & Research · doi:10.1002/acr.22996 · Cited by 62
Chemaitelly, H., Kanaan, C., Beydoun, H., Chaaya, M., Kanaan, M., & Sibai, A. M. (2013) · Quality of Life Research · doi:10.1007/s11136-012-0273-9 · Cited by 45
van Zutven, K., Mond, J., Latner, J., & Rodgers, B. (2015) · International Journal of Obesity · doi:10.1038/ijo.2014.100 · Cited by 39
Metadata
- Authors
- Manor, O., Matthews, S., & Power, C.
- Venue
- International Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2000-02
- Volume
- 29
- Issue
- 1
- Pages
- 149-157
- ISSN
- 0300-5771 (ISSN-L)
- 1464-3685
- OpenAlex
- W2118834236
- Cited by
- 420
- References
- 43
- FWCI
- 4.13
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Dichotomous or categorical response? Analysing self-rated health and lifetime social class. https://app.cochat.ai/papers/10.1093/ije/29.1.149
- The paper
- Manor, O., Matthews, S., & Power, C. (2000). Dichotomous or categorical response? Analysing self-rated health and lifetime social class. International Journal of Epidemiology. https://doi.org/10.1093/ije/29.1.149
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.
