Objectives: We examined the strength of association between family history of breast cancer and family history of other cancers with breast cancer risk perception and repeat mammography.
Methods: The sample included 6706 women, aged 46 to 74 years, with no breast cancer history. Multinomial logistic regression assessed the association between family history of cancer and breast cancer risk perception. Structural equation modeling estimated the relationship between family history of cancer and repeat mammography.
Results: Breast cancer risk perception was strongly associated with family history of breast cancer in the mother or mother and sister (odds ratio [OR] = 32.15; P < .001); family history of breast cancer in the sister, daughter, or male first-degree relative (OR = 6.6-8.4; P < .001); and maternal history of other cancers (OR = 1.38-2.73; P < .001). For repeat mammography, women with maternal history of breast cancer had a mean increase of 0.50 more mammograms in the past 6 years compared with women without maternal history of breast cancer (P < .001).
Conclusions: Breast cancer risk perception was associated with the type of cancer found in first-degree relatives and with the person's relationship to the family member with cancer. Family history of breast cancer affected repeat mammography behavior.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3519312 | PMC |
| http://dx.doi.org/10.2105/AJPH.2012.300786 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
CDKN3 as a key regulator of G2M phase in triple-negative breast cancer: Insights from multi-transcriptomic analysis.
IUBMB Life
January 2025
Precision Medicine Laboratory, School of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang, China.
Triple-negative breast cancer (TNBC) remains a significant global health challenge, emphasizing the need for precise identification of patients with specific therapeutic targets and those at high risk of metastasis. This study aimed to identify novel therapeutic targets for personalized treatment of TNBC patients by elucidating their roles in cell cycle regulation. Using weighted gene co-expression network analysis (WGCNA), we identified 83 hub genes by integrating gene expression profiles with clinical pathological grades.
View Article and Find Full Text PDFAn analysis of multilevel factor contributions to breast cancer screening inequities in an academic health system.
Cancer
February 2025
General Medicine Service, VA Puget Sound Health Care System, Seattle, Washington, USA.
Background: Breast cancer screening (BCS) inequities are evident at national and local levels, and many health systems want to address these inequities, but may lack data about contributing factors. The objective of this study was to inform health system interventions through an exploratory analysis of potential multilevel contributors to BCS inequities using health system data.
Methods: The authors conducted a cross-sectional analysis within a large academic health system including 19,774 individuals who identified as Black (n = 1445) or White (n = 18,329) race and were eligible for BCS.
Comment on 'Latent Profiles of Fear of Cancer Recurrence in Breast Cancer Patients of Reproductive Age and Associations With Reproductive Concerns'.
J Adv Nurs
January 2025
Anesthesiology Department, Hebei Province Cangzhou Hospital of Integrated Traditional and Western Medicine, Cangzhou, Hebei, China.
POLE mutations in endometrial carcinoma: Clinical and genomic landscape from a large prospective single-center cohort.
Cancer
February 2025
Departmental Unit of Molecular and Genomic Diagnostics, Genomics Core Facility, G-STeP, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
Background: To date, 11 DNA polymerase epsilon (POLE) pathogenic variants have been declared "hotspot" mutations. Patients with endometrial cancer (EC) characterized by POLE hotspot mutations (POLEmut) have exceptional survival outcomes. Whereas international guidelines encourage deescalation of adjuvant treatment in early-stage POLEmut EC, data regarding safety in POLEmut patients with unfavorable characteristics are still under investigation.
View Article and Find Full Text PDFAdjusting for Ascertainment Bias in Meta-Analysis of Penetrance for Cancer Risk.
Stat Med
February 2025
Department of Mathematical Sciences, University of Texas at Dallas, Richardson, Texas, USA.
Multi-gene panel testing allows efficient detection of pathogenic variants in cancer susceptibility genes including moderate-risk genes such as ATM and PALB2. A growing number of studies examine the risk of breast cancer (BC) conferred by pathogenic variants of these genes. A meta-analysis combining the reported risk estimates can provide an overall estimate of age-specific risk of developing BC, that is, penetrance for a gene.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!