Digital Commons Network^™

Screening Mammography Use In Older Women According To Health Status: A Systematic Review And Meta-Analysis, Joshua Demb, Tomi Akinyemiju, Isabel Allen, Tracy Onega, Robert A. Hiatt, Dejana Braithwaite

Epidemiology and Environmental Health Faculty Publications

Background: The extent to which screening mammography (SM) recommendations in older women incorporate life expectancy factors is not well established.

Objective: The objective of this review was to evaluate evidence on SM utilization in older women by life expectancy factors.

Data sources: We searched Medline, Embase and Web of Science from January 1991 to March 2016.

Study selection: We included studies examining SM utilization in women ages ≥ 65 years that measured life expectancy using comorbidity, functional limitations or health or prognostic status.

Data extraction and synthesis: ORs and 95% CIs were extracted and grouped by life expectancy category. Findings …

Genome-Wide Interactions With Dairy Intake For Body Mass Index In Adults Of European Descent, Caren E. Smith, Jack L. Follis, Hassan S. Dashti, Toshiko Tanaka, Mariaelisa Graff, Amanda M. Fretts, Tuomas O. Kilpeläinen, Mary K. Wojczynski, Kris Richardson, Mike A. Nalls, Christina-Alexandra Schulz, Yongmei Liu, Alexis C. Frazier-Wood, Esther Van Eekelen, Carol Wang, Paul S. De Vries, Vera Mikkilä, Rebecca Rohde, Bruce M. Psaty, Torben Hansen, Mary F. Feitosa, Chao-Qiang Lai, Denise K. Houston, Luigi Ferruci, Ulrika Ericson, Zhe Wang, Renée De Mutsert, Wendy H. Oddy, Ester A. L. De Jonge, Ilkka Seppälä, Donna K. Arnett

Epidemiology and Environmental Health Faculty Publications

Scope: Body weight responds variably to the intake of dairy foods. Genetic variation may contribute to inter‐individual variability in associations between body weight and dairy consumption.

Methods and results: A genome‐wide interaction study to discover genetic variants that account for variation in BMI in the context of low‐fat, high‐fat and total dairy intake in cross‐sectional analysis was conducted. Data from nine discovery studies (up to 25 513 European descent individuals) were meta‐analyzed. Twenty‐six genetic variants reached the selected significance threshold (p‐interaction <10⁻⁷⁾, and six independent variants (LINC01512‐rs7751666, PALM2/AKAP2‐rs914359, ACTA2‐rs1388, PPP1R12A‐rs7961195, LINC00333‐rs9635058, …

Association Between Reproductive Factors And Breast Cancer Subtypes: A Meta-Analysis, Xihua Mao

Theses and Dissertations--Public Health (M.P.H. & Dr.P.H.)

Introduction: Hormone-related reproductive factors have been reported to be associated with breast cancer subtypes. However, the direction and magnitude of these associations were inconsistent. Additionally, for breast cancer defined by estrogen receptor (ER) and progesterone receptor (PR): ER+PR+, ER+PR-, ER-PR+, and ER-PR- subtypes, no meta-analysis was available for ER+PR-and ER-PR+ subtypes. For ER+PR+ and ER-PR- subtypes, only a few reproductive risk factors have been examined in meta-analyses.

Methods: Primary studies published from 2011 to 2017 were retrieved from PubMed, Embase, and Scopus. Following PRISMA guidelines, a total of 98 eligible studies investigated the association between reproductive factors and breast cancer …