Evidence map›Paper›PMID 36330288›Full record

ArticleAIMS public health2022

Perceived neighborhood social cohesion and cervical and breast cancer screening utilization among U.S.-born and immigrant women.

Quynh Nhu Natasha B La Frinere-Sandoval, Catherine Cubbin, Diana M DiNitto

Erratum issuedAbstract read
In one paragraph

Article in AIMS public health, 2022. 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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  5. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Quynh Nhu Natasha B La Frinere-SandovalSteve Hicks School of Social Work, The University of Texas at Austin.
Catherine CubbinSteve Hicks School of Social Work, The University of Texas at Austin.
Diana M DiNittoSteve Hicks School of Social Work, The University of Texas at Austin.

Funding

Scientific & Technical CoreP2CHD042849 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI MARK D. HAYWARD · 2017 to 2026
$5.2M
NICHD NIH HHS P2C HD042849
6 · The paper itself

Abstract

Research suggests that factors beyond the individual level, such as neighborhood-level factors, warrant further investigation in explaining preventive screening utilization disparities. In addition, research shows that immigrant women, especially recent immigrants, are less likely than U.S.-born women to utilize preventive screenings. Our study examined the relationship between perceived neighborhood social cohesion and breast and cervical cancer screening utilization among U.S.-born and immigrant women. Data came from the 2018 National Health Interview Survey (NHIS). The sample for this study included 7801 women ages 21-64 without a hysterectomy. Of them, 1477 (19%) reported being born outside the United States. Logistic regression was used to examine associations of perceived neighborhood social cohesion and sociodemographic factors with the odds of screening by nativity status. Though we found no link between neighborhood social cohesion and Papanicolaou (Pap) test or mammogram utilization, our findings contribute to understanding sociodemographic barriers to and facilitators of preventive screening utilization among immigrant and U.S.-born women. Most importantly, racial/ethnic and socioeconomic disparities in Pap tests and mammogram utilization were evident among immigrant women. The disparities we identified indicate the need to target prevention messages and tailor interventions to address each group's sociodemographic characteristics and needs. Our findings also support the need to expand health insurance so that all women are covered.

Indexed as

breast cancercervical cancerimmigrant, neighborhood social cohesionmammogramPap testpreventive screening

Identifiers

PMID36330288
PMCPMC9581749

What OpenQuestion holds

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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.