Psychological Symptom Cluster Severity Profiles Are Associated With Higher Levels of Stress and Worse Quality of Life in Postmenopausal Women With Breast Cancer.

Background: Although common, the severity of the psychological symptom cluster (PSC) (ie, co-occurrence of anxiety, depression, fatigue, sleep disturbance) varies among women with breast cancer. In addition, the impact of various types of stress and other risk factors on its severity are understudied, and the influence of the PSC on quality of life (QOL) outcomes remains poorly characterized.

Objective: To identify subgroups of postmenopausal women with breast cancer with distinct PSC severity profiles following surgery and evaluate whether these subgroups differed in terms of demographic and clinical characteristics, symptoms, social and posttraumatic stress, and QOL.

Associations between DNA methylation and cognitive function in early-stage hormone receptor-positive breast cancer patients.

Background: Approximately one-third of breast cancer (BC) patients show poorer cognitive function (CF) before receiving adjuvant therapy compared with age-matched healthy controls. However, the biological mechanisms driving CF variation in the context of BC remain unclear. In this study, we aimed to identify genes and biological pathways associated with CF in postmenopausal women with early-stage hormone receptor-positive (HR+) BC using DNA methylation (DNAm) data, a dynamic regulator of gene activity.

Decrements in Morning and Evening Energy Are Associated With a Higher Symptom Burden in Patients With Gynecologic Cancers Receiving Chemotherapy.

Background: Decrements in energy are a significant problem associated with chemotherapy. To date, no study examined the variability of energy in patients with gynecologic cancers.

Objective: To identify distinct morning and evening energy profiles in patients with gynecologic cancers and evaluate for differences in demographic and clinical characteristics, other common symptoms, and quality-of-life (QOL) outcomes.

Multivariate Bayesian Analyses in Nursing Research: An Introductory Guide.

In the era of precision health, nursing research has increasingly focused on the analysis of large, multidimensional data sets containing multiple correlated phenotypes (e.g., symptoms).

Novel, Group-Based Trajectories of Labor Progress in Nulliparous Women With Low-Risk Pregnancies.

Objective: To characterize labor progress among nulliparous women by applying group-based trajectory analysis and examining predictors of group membership.

Design: Retrospective observational.

Setting: An existing biobank and database from a birth hospital in Western Pennsylvania.