Evidence map›Paper›PMID 31384526›Full record

ArticlePreventive medicine reports2019

Does marriage matter? Racial differences in allostatic load among women.

Courtney S Thomas Tobin, Millicent N Robinson, Kiara Stanifer

Erratum issuedAbstract read
In one paragraph

Article in Preventive medicine reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Courtney S Thomas TobinDepartment of Community Health Sciences, Jonathan and Karin Fielding School of Public Health, University of California (UCLA), United States of America.
Millicent N RobinsonDepartment of Community Health Sciences, Jonathan and Karin Fielding School of Public Health, University of California (UCLA), United States of America.
Kiara StaniferDepartment of Community Health Sciences, Jonathan and Karin Fielding School of Public Health, University of California (UCLA), United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prior research suggests that there are health benefits associated with marriage, although the physiological implications of marital status for women's health is less clear. Given that recent trends indicate that Black women are less likely to marry than White women, the goal of this study was to evaluate whether marital status accounts for racial differences in women's physical health. Using data from the Nashville Stress and Health Study (2011-2014), we estimated the probability of high allostatic load (AL), a biological indicator of physiological dysregulation, among women aged 18-69. We examined AL scores by race and marital status, evaluated the extent to which Black-White differences persisted after accounting for marital status, and assessed whether the racial disparity in AL varied across marital status groups. Results indicated that Black women had higher AL than White women, although racial differences in AL were not explained by marital status. In addition, marital status was a significant predictor of AL among Black, but not White women. Moreover, the racial disparity in AL was smallest among never married women and largest among currently and formally married women. Taken together, these findings suggest that Black-White inequalities in women's physical health are not explained by racial differences in marital status, despite the widening racial gap in marriage. Nevertheless, marital status may be an influential factor in shaping outcomes among Black women.

Indexed as

Marriage, allostatic loadRacial disparitieswomen's health

Identifiers

PMID31384526
PMCPMC6667782

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.