Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 538

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Multiple Identities: Examining Gender and Marital Status Differences in Distress

Thoits, Peggy A.·1986·American Sociological Review

Abstract

Based upon assumptions that the social self is comprised of major role-identities and that role-identities reduce psychological distress, this paper examines the mental health advantage of married and unmarried men relative to comparable women as a function of multiple-role occupancy. Panel data from surveys of!, 106 adult heads of household in Chicago and 720 adults in New Haven are utilized. Possession of multiple role-identities (up to 6 in Chicago, 8 in New Haven) does significantly reduce distress in both samples. But identity summation does not consistently reduce gender or gender by marital status differences in distress. Further exploration revealed that men and women appear to experience equivalent levels of distress when they hold the same numbers and types of roles. When sex differences do occur, they appear to be a function of employment rather than of marriage, contrary to popular belief. Although structural inequalities in role occupancy appear to produce status differences in distress, future research will require deliberately stratified samples to adequately test this hypothesis.

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 · 10.2307/2095520

Cites

2 of 2 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 2 references

Cited by

See all 538

Metadata

Authors
Thoits, P. A.
Venue
American Sociological Review
Published
1986-04
Volume
51
Issue
2
Pages
259
ISSN
0003-1224 (ISSN-L)
OpenAlex
W1963737353
Cited by
538
References
2
FWCI
30.46
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: Multiple Identities: Examining Gender and Marital Status Differences in Distress. https://app.cochat.ai/papers/10.2307/2095520
The paper
Thoits, P. A. (1986). Multiple Identities: Examining Gender and Marital Status Differences in Distress. American Sociological Review. https://doi.org/10.2307/2095520

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.