The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
A consistent log-linear relationship between tuberculosis incidence and body mass index
Abstract
BACKGROUND: Low weight for height is an established risk factor for tuberculosis (TB), and recent studies suggest that overweight is a protective factor. No previous systematic review has been done to explore the consistency and establish the gradient of this apparent 'dose-response' relationship. METHODS: A systematic literature review was carried out to identify cohort studies that collected data on weight and height at baseline and that used a diagnosis of active TB as the study outcome. Weight-for-height measures used in the original studies were transformed into body mass index (BMI). Exponential trend lines were fitted to each data set. RESULTS: Six studies were included. In all of them, there was a log-linear inverse relationship between TB incidence and BMI, within the BMI range 18.5-30 kg/m(2). The average slope gave a reduction in TB incidence of 13.8% [95% confidence interval 13.4-14.2] per unit increase in BMI. The dose-response relationship was less certain at BMI <18.5 and >30 kg/m(2). CONCLUSION: There is a strong and consistent log-linear relationship between TB incidence and BMI across a variety of settings with different levels of TB burden. More research is required to test the relationship at very low and very high BMI levels, to establish the biological mechanism linking BMI with risk of TB and to establish the potential impact on the global TB epidemic of changing nutritional status of populations.
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
The environment and disease: association or causation?
Hill, A. B. (2015) · Journal of the Royal Society of Medicine · doi:10.1177/0141076814562718 · Cited by 7,285
The Environment and Disease: Association or Causation?
Hill, A. B. (1965) · Proceedings of the Royal Society of Medicine · doi:10.1177/003591576505800503 · Cited by 6,974
Prospective Studies Collaboration (2009) · The Lancet · doi:10.1016/s0140-6736(09)60318-4 · Cited by 4,807
Haslam, D. W., & James, W. P. T. (2005) · The Lancet · doi:10.1016/s0140-6736(05)67483-1 · Cited by 3,757
Bulletin of the World Health Organization
Frick, K. D., Lynch, M. C., West, S. K., Muñoz, B., & Mkocha, H. A. (2003) · Bulletin of the World Health Organization · Cited by 2,656
Modern Epidemiology 3rd edition
Rothman, K. J., Lash, T. L., & Greenland, S. (1986) · Cited by 1,735
Jeon, C. Y., & Murray, M. B. (2008) · PLoS Medicine · doi:10.1371/journal.pmed.0050152 · Cited by 1,486
Drivers of tuberculosis epidemics: The role of risk factors and social determinants
Lönnroth, K., Jaramillo, E., Williams, B. G., Dye, C., & Raviglione, M. (2009) · Social Science & Medicine · doi:10.1016/j.socscimed.2009.03.041 · Cited by 1,176
Self-citationCegielski, J. P., & McMurray, D. N. (2004) · PubMed · Cited by 619
McGee, D. L. (2005) · Annals of Epidemiology · doi:10.1016/j.annepidem.2004.05.012 · Cited by 582
Cited by
Narasimhan, P., Wood, J., MacIntyre, C. R., & Mathai, D. (2013) · Pulmonary Medicine · doi:10.1155/2013/828939 · Cited by 731
The impact of COVID-19 on TB: a review of the data
McQuaid, C. F., Vassall, A., Cohen, T., Fiekert, K., COVID/TB Modelling Working Group *, & White, R. G. (2021) · The International Journal of Tuberculosis and Lung Disease · doi:10.5588/ijtld.21.0148 · Cited by 319
Latent tuberculosis infection: An overview
Kiazyk, S., & Ball, T. (2017) · Canada Communicable Disease Report · doi:10.14745/ccdr.v43i34a01 · Cited by 266
Addressing the tuberculosis–depression syndemic to end the tuberculosis epidemic
Sweetland, A. C., Kritski, A., Oquendo, M. A., Sublette, M. E., Norcini Pala, A., Silva, L. R. B., Karpati, A., Silva, E. C., Moraes, M. O., Silva, J. R. L. E., et al. (2017) · The International Journal of Tuberculosis and Lung Disease · doi:10.5588/ijtld.16.0584 · Cited by 177
Rocha, C., Montoya, R., Zevallos, K., Curatola, A., Ynga, W., Franco, J., Fernandez, F., Becerra, N., Sabaduche, M., Tovar, M. A., et al. (2011) · The International Journal of Tuberculosis and Lung Disease · doi:10.5588/ijtld.10.0447 · Cited by 120
Metadata
- Authors
- Lonnroth, K., Williams, B. G., Cegielski, P., & Dye, C.
- Venue
- International Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-10-09
- Volume
- 39
- Issue
- 1
- Pages
- 149-155
- ISSN
- 0300-5771 (ISSN-L)
- 1464-3685
- OpenAlex
- W2121258698
- Cited by
- 455
- References
- 22
- FWCI
- 6.07
- 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: A consistent log-linear relationship between tuberculosis incidence and body mass index. https://app.cochat.ai/papers/10.1093/ije/dyp308
- The paper
- Lonnroth, K., Williams, B. G., Cegielski, P., & Dye, C. (2010). A consistent log-linear relationship between tuberculosis incidence and body mass index. International Journal of Epidemiology. https://doi.org/10.1093/ije/dyp308
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.