Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 372

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Interpreting the Paradoxical in the Hispanic Paradox: Demographic and Epidemiologic Approaches

Open access
PALLONI, ALBERTO, MORENOFF, JEFFREY D.·2001·Annals of the New York Academy of Sciences

Abstract

A bstract:This paper discusses problems that are common to both the epidemiologic risk‐factor approach and the demographic variable‐based approach to studying population health. We argue that there is a shared reluctance to move away from a narrow variable‐based thinking that pervades both disciplines, and a tendency to reify the multivariate linear procedures employed in both disciplines. In particular, we concentrate on the difficulties generated by classical variable‐based approaches that are especially striking when one neglects selection processes and the use of strategies to minimize its effects. We illustrate these difficulties in terms of the so‐called “Hispanic Paradox”, which refers to comparative health advantages that some Hispanic groups appear to have. We find that much of what is conceived by demographers and epidemiologists as a paradox may not be paradoxical at all.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/j.1749-6632.2001.tb02751.x

Cites

3 of 3 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 3 references

Cited by

See all 372

Metadata

Authors
PALLONI, A., & MORENOFF, J. D.
Venue
Annals of the New York Academy of Sciences
Publisher
Wiley
Published
2001-12
Volume
954
Issue
1
Pages
140-174
ISSN
  • 0077-8923 (ISSN-L)
  • 1749-6632
OpenAlex
W2124719736
Cited by
372
References
3
FWCI
7.62
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: Interpreting the Paradoxical in the Hispanic Paradox: Demographic and Epidemiologic Approaches. https://app.cochat.ai/papers/10.1111/j.1749-6632.2001.tb02751.x
The paper
PALLONI, A., & MORENOFF, J. D. (2001). Interpreting the Paradoxical in the Hispanic Paradox: Demographic and Epidemiologic Approaches. Annals of the New York Academy of Sciences. https://doi.org/10.1111/j.1749-6632.2001.tb02751.x

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.