The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Problems With the Collection and Interpretation of Asian-American Health Data: Omission, Aggregation, and Extrapolation
Open accessAbstract
Asian-American citizens are the fastest growing racial/ethnic group in the United States. Nevertheless, data on Asian American health are scarce, and many health disparities for this population remain unknown. Much of our knowledge of Asian American health has been determined by studies in which investigators have either grouped Asian-American subjects together or examined one subgroup alone (e.g., Asian Indian, Chinese, Filipino, Japanese, Korean, Vietnamese). National health surveys that collect information on Asian-American race/ethnicity frequently omit this population in research reports. When national health data are reported for Asian-American subjects, it is often reported for the aggregated group. This aggregation may mask differences between Asian-American subgroups. When health data are reported by Asian American subgroup, it is generally reported for one subgroup alone. In the Ni-Hon-San study, investigators examined cardiovascular disease in Japanese men living in Japan (Nippon; Ni), Honolulu, Hawaii (Hon), and San Francisco, CA (San). The findings from this study are often incorrectly extrapolated to other Asian-American subgroups. Recommendations to correct the errors associated with omission, aggregation, and extrapolation include: oversampling of Asian Americans, collection and reporting of race/ ethnicity data by Asian-American subgroup, and acknowledgement of significant heterogeneity among Asian American subgroups when interpreting data.
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
Yu, S. M. (1998) · Maternal and Child Health Journal · doi:10.1023/a:1021801927353 · Cited by 4,056
Epidemiological approaches to heart disease: the Framingham study
Dawber, T. R., Meadors, G. F., & Moore, F. E. (1951) · American Journal of Public Health and the Nations Health · doi:10.2105/ajph.41.3.279 · Cited by 2,148
A marker for Stevens–Johnson syndrome
Chung, W.-H., Hung, S.-I., Hong, H.-S., Hsih, M.-S., Yang, L.-C., Ho, H.-C., Wu, J.-Y., & Chen, Y.-T. (2004) · Nature · doi:10.1038/428486a · Cited by 1,753
Mega, J. L., Simon, T., Collet, J.-P., Anderson, J. L., Antman, E. M., Bliden, K., Cannon, C. P., Danchin, N., Giusti, B., Gurbel, P., et al. (2010) · JAMA · doi:10.1001/jama.2010.1543 · Cited by 1,135
A Multiethnic Cohort in Hawaii and Los Angeles: Baseline Characteristics
Kolonel, L. N., Henderson, B. E., Hankin, J. H., Nomura, A. M. Y., Wilkens, L. R., Pike, M. C., Stram, D. O., Monroe, K. R., Earle, M. E., & Nagamine, F. S. (2000) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a010213 · Cited by 1,021
The framingham offspring study. Design and preliminary data
Feinleib, M., Kannel, W. B., Garrison, R. J., McNamara, P. M., & Castelli, W. P. (1975) · Preventive Medicine · doi:10.1016/0091-7435(75)90037-7 · Cited by 930
Splansky, G. L., Corey, D., Yang, Q., Atwood, L. D., Cupples, L. A., Benjamin, E. J., D'Agostino, R. B., Fox, C. S., Larson, M. G., Murabito, J. M., et al. (2007) · American Journal of Epidemiology · doi:10.1093/aje/kwm021 · Cited by 860
The Framingham Offspring Study
Allhoff, P., Laaser, U., & Heinrich, J. (1991) · Kompendium der Lipid-Studien · doi:10.1007/978-3-642-95642-3_25 · Cited by 831
OBAMA, B. (2009) · Presidential Studies Quarterly · doi:10.1111/j.1741-5705.2009.03698.x · Cited by 820
Considering context, place, and culture: the national Latino and Asian American study
Alegria, M., Takeuchi, D., Canino, G., Duan, N., Shrout, P., Meng, X., Vega, W., Zane, N., Vila, D., Woo, M., et al. (2004) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.178 · Cited by 733
Cited by
Racial/ethnic differences in dyslipidemia patterns
Frank, A. T. H., Zhao, B., Jose, P. O., Azar, K. M. J., Fortmann, S. P., & Palaniappan, L. P. (2014) · Circulation · doi:10.1161/circulationaha.113.005757 · Cited by 327
Self-citationGordon, N. P., Lin, T. Y., Rau, J., & Lo, J. C. (2019) · BMC Public Health · doi:10.1186/s12889-019-7683-3 · Cited by 232
Satish, P., Sadaf, M. I., Valero-Elizondo, J., Grandhi, G. R., Yahya, T., Zawahir, H., Javed, Z., Mszar, R., Hanif, B., Kalra, A., et al. (2021) · American Journal of Preventive Cardiology · doi:10.1016/j.ajpc.2021.100219 · Cited by 48
Zhu, L., Yang, W. J., Spence, C. B., Bhimla, A., & Ma, G. X. (2021) · Healthcare · doi:10.3390/healthcare9111518 · Cited by 36
Gordon, N. P., & Hsueh, L. (2021) · BMC Public Health · doi:10.1186/s12889-021-11011-4 · Cited by 14
Metadata
- Authors
- Holland, A. T., & Palaniappan, L. P.
- Venue
- Annals of Epidemiology
- Publisher
- Elsevier BV
- Published
- 2012-06
- Volume
- 22
- Issue
- 6
- Pages
- 397-405
- ISSN
- 1047-2797 (ISSN-L)
- OpenAlex
- W2069175637
- Cited by
- 300
- References
- 47
- FWCI
- 8.18
- Type
- journal article
- Language
- en
- Open access
- green
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: Problems With the Collection and Interpretation of Asian-American Health Data: Omission, Aggregation, and Extrapolation. https://app.cochat.ai/papers/10.1016/j.annepidem.2012.04.001
- The paper
- Holland, A. T., & Palaniappan, L. P. (2012). Problems With the Collection and Interpretation of Asian-American Health Data: Omission, Aggregation, and Extrapolation. Annals of Epidemiology. https://doi.org/10.1016/j.annepidem.2012.04.001
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.
