Evidence map›Paper›PMID 27213509›Full record

ArticleCultural diversity & ethnic minority psychology2016

Ethnic differences in social support after initial receipt of an abnormal mammogram.

Yamile Molina, Sarah D Hohl, Michelle Nguyen, Bridgette H Hempstead, Shauna Rae Weatherby, Claire Dunbar, Shirley A A Beresford, Rachel M Ceballos

Abstract read
In one paragraph

Article in Cultural diversity & ethnic minority psychology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Medical Advocacy among Latina Women Diagnosed with Breast Cancer.International journal of environmental research and public health · 2024
    Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Yamile MolinaSchool of Public Health, University of Illinois at Chicago.
Sarah D HohlPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, University of Washington.
Michelle NguyenSchool of Public Health, University of Washington.
Bridgette H HempsteadCierra Sisters.
Shauna Rae WeatherbyMultiCare Health System.
Claire DunbarDepartment of Psychology, Seattle University.
Shirley A A BeresfordPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, University of Washington.
Rachel M CeballosPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, University of Washington.

Funding

Research Education CoreU54CA202997 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI NAYLOR, KEITH BRIAN, TUSSING-HUMPHREYS, LISA · 2015 to 2024
$13.8M
Research Education CoreU54CA203000 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI GIACHELLO, AIDA L · 2015 to 2024
$12.4M
Understanding and preventing breast cancer disparties in LatinasP50CA148143 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI CORONADO, GLORIA D · 2010 to 2016
$9.7M
The Chicago Cancer Health Equity Collaborative (ChicagoCHEC)U54CA202995 · NCI · NORTHEASTERN ILLINOIS UNIVERSITY · PI CIECIERSKI, CHRISTINA · 2015 to 2024
$9.5M
Biobehavioral Cancer Prevention and Control Training ProgramR25CA092408 · NCI · UNIVERSITY OF WASHINGTON · PI PATRICK, DONALD LEE · 2001 to 2015
$7.1M
Biobehavioral Cancer Prevention and Control Training Program (BCPT)T32CA092408 · NCI · UNIVERSITY OF WASHINGTON · PI Margaret A Hannon · 2016 to 2026
$2.3M
Addressing Psychosocial Disparities in Rural Hispanic Cancer SurvivorsK01CA154938 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI CEBALLOS, RACHEL M. · 2011 to 2015
$700k
NCI NIH HHS K01 CA154938NCI NIH HHS P50 CA148143NCI NIH HHS R25 CA092408NCI NIH HHS T32 CA092408NCI NIH HHS U54 CA202995NCI NIH HHS U54 CA202997NCI NIH HHS U54 CA203000
6 · The paper itself

Abstract

objectivesWe examine access to and type of social support after initial receipt of an abnormal mammogram across non-Latina White (NLW), African American, and Latina women.

methodThis cross-sectional study used a mixed method design, with quantitative and qualitative measures. Women were recruited through 2 community advocates and 3 breast-health-related care organizations.

resultsWith regard to access, African American women were less likely to access social support relative to NLW counterparts. Similar nonsignificant differences were found for Latinas. Women did not discuss results with family and friends to avoid burdening social networks and negative reactions. Networks' geographic constraints and medical mistrust influenced Latina and African American women's decisions to discuss results. With regard to type of social support, women reported emotional support across ethnicity. Latina and African American women reported more instrumental support, whereas NLW women reported more informational support in the context of their well-being.

conclusionsThere are shared and culturally unique aspects of women's experiences with social support after initially receiving an abnormal mammogram. Latina and African American women may particularly benefit from informational support from health care professionals. Communitywide efforts to mitigate mistrust and encourage active communication about cancer may improve ethnic disparities in emotional well-being and diagnostic resolution during initial receipt of an abnormal mammogram. (PsycINFO Database Record

Indexed as

Social SupportAdultAgedBlack or African AmericanBreast NeoplasmsCommunicationCross-Sectional StudiesEthnicityFemaleHealthcare DisparitiesHispanic or LatinoHumansMammographyMiddle AgedSocial IsolationStress, Psychological

Identifiers

PMID27213509
PMCPMC5053836

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.