The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Medical Disease and Alcohol Use Among Veterans With Human Immunodeficiency Infection: A Comparison of Disease Measurement Strategies
Abstract
BACKGROUND: Many people with human immunodeficiency (HIV) infection drink alcohol. We asked whether level of exposure to alcohol is associated with medical disease in a linear or nonlinear manner, whether the association depends upon the proximity of alcohol use, and whether it varies by source used to measure disease (chart review vs. ICD-9 Diagnostic Codes). METHODS: The Veterans Aging 3 Site Cohort Study (VACS 3) enrolled 881 veterans, 86% of all HIV-positive patients seen, at 3 VA sites from June 23, 1999, to July 28, 2000. To maximize the sensitivity for alcohol exposure, alcohol use was measured combining data from patient self-report, chart review, and ICD-9 codes. We assigned the greatest exposure level reported from any source. Alcohol use within the past 12 months was considered current. Data on comorbid and AIDS-defining medical diseases were collected via chart review and ICD-9 diagnostic codes. The association of alcohol use (level and timing) and disease was modeled only for diseases demonstrating > or =10% prevalence. Linearity was compared with nonlinearity of association using nested multivariate models and the likelihood ratio test. All multivariate models were adjusted for age, CD4 cell count, viral load, intravenous drug use, exercise, and smoking. RESULTS: Of 881 subjects enrolled, 866 (98%) had sufficient data for multivariate analyses, and 876 (99%) had sufficient data for comparison of chart review with ICD-9 Diagnostic Codes. Of the 866, 42 (5%) were lifetime abstainers; 247 (29%) were past drinkers; and 577 (67%) were current users. Among the 824 reporting past or current alcohol use, 341 (41%) drank in moderation, 192 (23%) drank hazardously, and 291 (35%) carried a diagnosis of abuse or dependence. ICD-9 codes showed limited sensitivity, but overall agreement with chart review was good for 15 of 20 diseases (kappa > 0.4). The following diseases demonstrated a > or =10% prevalence with both measures (hepatitis C, hypertension, diabetes, obstructive lung disease, candidiasis, and bacterial pneumonia). All of these were associated with alcohol use (P < 0.05). Hepatitis C, hypertension, obstructive lung disease, candidiasis, and bacterial pneumonia demonstrated linear associations with level of alcohol use (P < 0.03). Past alcohol use increased the risk of hepatitis C and diabetes after adjustment for level of exposure (P < 0.01). With the exception of candidiasis, the associations between level and timing of alcohol use were similar when measured by ICD-9 codes or by chart review. CONCLUSIONS: Past and current use of alcohol is common among those with HIV infection. Estimates of disease risk associated with alcohol use based upon ICD-9 Diagnostic Codes appear similar to those based upon chart review. After adjustment for level of alcohol exposure, past use is associated with similar (or higher) prevalence of disease as among current drinkers. Finally, level of alcohol use is linearly associated with medical disease. We find no evidence of a "safe" level of consumption among those with HIV infection.
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
SAUNDERS, J. B., AASLAND, O. G., BABOR, T. F., DE LA FUENTE, J. R., & GRANT, M. (1993) · Addiction · doi:10.1111/j.1360-0443.1993.tb02093.x · Cited by 13,597
Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases
DEYO, R. (1992) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(92)90133-8 · Cited by 10,452
Comorbidity measures for use with administrative data.
Elixhauser, A., Steiner, C., Harris, D. R., & Coffey, R. M. (1998) · Medical Care · doi:10.1097/00005650-199801000-00004 · Cited by 9,921
A simulation study of the number of events per variable in logistic regression analysis
Peduzzi, P., Concato, J., Kemper, E., Holford, T. R., & Feinstein, A. R. (1996) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(96)00236-3 · Cited by 9,655
Emberson, J. R., Shaper, A. G., Wannamethee, S. G., Morris, R. W., & Whincup, P. H. (2005) · American Journal of Epidemiology · doi:10.1093/aje/kwi111 · Cited by 100
Cited by
HIV and aging: time for a new paradigm.
Justice, A. C. (2010) · Current HIV/AIDS Reports · doi:10.1007/s11904-010-0041-9 · Cited by 309
Self-citationIncreased Risk of Fragility Fractures among HIV Infected Compared to Uninfected Male Veterans
Womack, J. A., Goulet, J. L., Gibert, C., Brandt, C., Chang, C. C., Gulanski, B., Fraenkel, L., Mattocks, K., Rimland, D., Rodriguez-Barradas, M. C., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0017217 · Cited by 261
Self-citationJustice, A. C., McGinnis, K. A., Tate, J. P., Braithwaite, R. S., Bryant, K. J., Cook, R. L., Edelman, E. J., Fiellin, L. E., Freiberg, M. S., Gordon, A. J., et al. (2016) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2016.01.017 · Cited by 179
Self-citationComprehensive clinical care for men who have sex with men: an integrated approach.
Mayer, K. H., Bekker, L.-G., Stall, R., Grulich, A. E., Colfax, G., & Lama, J. R. (2012) · The Lancet · doi:10.1016/s0140-6736(12)60835-6 · Cited by 167
. Towards a combined prognostic index for survival in HIV infection: the role of non-HIV biomarkers.
Justice, A., McGinnis, K., Skanderson, M., Chang, C., Gibert, C., Goetz, M., Rimland, D., Rodriguez‐Barradas, M., Oursler, K., Brown, S., et al. (2010) · HIV Medicine · doi:10.1111/j.1468-1293.2009.00757.x · Cited by 159
Metadata
- Authors
- Justice, A. C., Lasky, E., McGinnis, K. A., Skanderson, M., Conigliaro, J., Fultz, S. L., Crothers, K., Rabeneck, L., Rodriguez-Barradas, M., Weissman, S. B., & Bryant, K.
- Venue
- Medical Care
- Published
- 2006-08
- Volume
- 44
- Issue
- 8
- Pages
- S52-S60
- ISSN
- 0025-7079 (ISSN-L)
- OpenAlex
- W2053178989
- Cited by
- 162
- References
- 5
- FWCI
- 7.30
- 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: Medical Disease and Alcohol Use Among Veterans With Human Immunodeficiency Infection: A Comparison of Disease Measurement Strategies. https://app.cochat.ai/papers/10.1097/01.mlr.0000228003.08925.8c
- The paper
- Justice, A. C., Lasky, E., McGinnis, K. A., Skanderson, M., Conigliaro, J., Fultz, S. L., Crothers, K., Rabeneck, L., Rodriguez-Barradas, M., Weissman, S. B., & Bryant, K. (2006). Medical Disease and Alcohol Use Among Veterans With Human Immunodeficiency Infection: A Comparison of Disease Measurement Strategies. Medical Care. https://doi.org/10.1097/01.mlr.0000228003.08925.8c
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.