Evidence map›Paper›PMID 42508204›Full record

Observational studyClinical breast cancer2026

Assessing Racial Differences in Psychological Distress and Problem Items among Breast Cancer Survivors at Adjuvant Endocrine Therapy Initiation.

Fariha Tariq, Teletia Taylor, Dustin Bastaich, Vanessa B Sheppard

Abstract readObservational Study
In one paragraph

Observational study in Clinical breast cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Fariha TariqDepartment of Social and Behavioral Sciences, School of Public Health, Virginia Commonwealth University, Richmond, VA. Electronic address: tariqf2@vcu.edu.
Teletia TaylorCollege of Medicine, Howard University, Washington, DC.
Dustin BastaichDepartment of Biostatistics, School of Population Health, Virginia Commonwealth University, Richmond, VA.
Vanessa B SheppardDepartment of Social and Behavioral Sciences, School of Public Health, Virginia Commonwealth University, Richmond, VA; Massey Cancer Center, Virginia Commonwealth University, Richmond, VA.

Funding

Virus Vector Shared ResourceP30CA016059 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI Renato Martins · 1985 to 2026
$51.0M
Research Supplement to Promote Diversity in Health Related ResearchUL1TR002649 · NCATS · VIRGINIA COMMONWEALTH UNIVERSITY · PI MOELLER, FREDERICK GERARD · 2018 to 2022
$19.1M
PREDICTORS OF ADJUVANT ENDOCRINE THERAPY ADHERENCE IN WOMEN WITH BREAST CANCERR01CA154848 · NCI · GEORGETOWN UNIVERSITY · PI SHEPPARD, VANESSA B · 2011 to 2015
$2.5M
NCATS NIH HHS UL1 TR002649NCI NIH HHS P30 CA016059NCI NIH HHS R01 CA154848
6 · The paper itself

Abstract

purposeThe purpose of this study was to examine if there were racial differences in overall distress and problem items among Black and White breast cancer survivors at the time of adjuvant endocrine therapy (AET) initiation.

methodsData were analyzed from the Women's Hormonal Initiation and Persistence study, an observational trial of hormone receptor-positive breast cancer survivors. Participants completed the National Comprehensive Cancer Network's Distress Thermometer and its 36-item problem list. Multiple logistic regression was used to predict high distress (a score of ≥ 4 on the distress thermometer) by race, adjusting for sociodemographic and clinical characteristics. Descriptive statistics were computed by race (Black vs. White) for problem items reported by breast cancer survivors. χ2 tests were used to test racial differences in problem items.

resultsOf the 572 participants, 72% were White and 28% were Black. More than half of the sample (52%) reported high distress. Race was not a significant predictor of distress in either the univariate or the multivariable analysis. The top 5 problem items for the overall sample included sleep (50.5%), fatigue (48.6%), worry (41.6%), dry/itchy skin (39.9%), and pain (37.8%). There were no statistically significant differences in the problem items endorsed by Black and White breast cancer survivors.

conclusionSurvivors reported high levels of distress and physical problem items at the time of AET initiation regardless of race. Future work should focus on the development of interventions targeting specific problem items that contribute to distress among breast cancer survivors on AET.

Indexed as

Antineoplastic Agents, HormonalBlack or African AmericanBreast NeoplasmsCancer SurvivorsPsychological DistressWhiteAdultAgedChemotherapy, AdjuvantFemaleHumansMiddle AgedStress, PsychologicalAntineoplastic Agents, HormonalAfrican AmericanDisparitiesMental healthPsycho-oncologySurvivorship

Identifiers

PMID42508204
PMCPMC13408209

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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.