34 research outputs found

    MsFLASH Participants’ Priorities for Alleviating Menopausal Symptoms

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    Objective To describe self-reported menopausal symptom priorities and their association with demographics and other symptoms among participants in an intervention trial for vasomotor symptoms (VMS). Methods Cross-sectional study embedded in the MsFLASH 02 trial, a three-by-two factorial design of yoga vs. exercise vs. usual activity and omega-3-fatty acid vs. placebo. At baseline, women (n = 354) completed hot flush diaries, a card sort task to prioritize symptoms they would most like to alleviate, and standardized questionnaires. Results The most common symptom priorities were: VMS (n = 322), sleep (n = 191), concentration (n = 140), and fatigue (n = 116). In multivariate models, women who chose VMS as their top priority symptom (n = 210) reported significantly greater VMS severity (p = 0.004) and never smoking (p = 0.012), and women who chose sleep as their top priority symptom (n = 100) were more educated (p ≤ 0.001) and had worse sleep quality (p < 0.001). ROC curves identified sleep scale scores that were highly predictive of ranking sleep as a top priority symptom. Conclusions Among women entering an intervention trial for VMS and with relatively low prevalence of depression and anxiety, VMS was the priority symptom for treatment. A card sort may be a valid tool for quickly assessing symptom priorities in clinical practice and research

    Identification of a novel susceptibility locus at 13q34 and refinement of the 20p12.2 region as a multi-signal locus associated with bladder cancer risk in individuals of european ancestry

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    Candidate gene and genome-wide association studies (GWAS) have identified 15 independent genomic regions associated with bladder cancer risk. In search for additional susceptibility variants, we followed up on four promising single-nucleotide polymorphisms (SNPs) that had not achieved genome-wide significance in 6911 cases and 11 814 controls (rs6104690, rs4510656, rs5003154 and rs4907479, P &lt; 1 7 10(-6)), using additional data from existing GWAS datasets and targeted genotyping for studies that did not have GWAS data. In a combined analysis, which included data on up to 15 058 cases and 286 270 controls, two SNPs achieved genome-wide statistical significance: rs6104690 in a gene desert at 20p12.2 (P = 2.19 7 10(-11)) and rs4907479 within the MCF2L gene at 13q34 (P = 3.3 7 10(-10)). Imputation and fine-mapping analyses were performed in these two regions for a subset of 5551 bladder cancer cases and 10 242 controls. Analyses at the 13q34 region suggest a single signal marked by rs4907479. In contrast, we detected two signals in the 20p12.2 region-the first signal is marked by rs6104690, and the second signal is marked by two moderately correlated SNPs (r(2) = 0.53), rs6108803 and the previously reported rs62185668. The second 20p12.2 signal is more strongly associated with the risk of muscle-invasive (T2-T4 stage) compared with non-muscle-invasive (Ta, T1 stage) bladder cancer (case-case P 64 0.02 for both rs62185668 and rs6108803). Functional analyses are needed to explore the biological mechanisms underlying these novel genetic associations with risk for bladder cancer

    Identification of a novel susceptibility locus at 13q34 and refinement of the 20p12.2 region as a multi-signal locus associated with bladder cancer risk in individuals of european ancestry

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    Nitrate Medications, Fractures, and Change in Bone Mineral Density in Postmenopausal Women: Results from the Women's Health Initiative.

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    Nitrate medications may increase bone mineral density (BMD), although information on fracture outcomes is sparse. We examined the association of nitrate medications with fractures (hip, wrist/arm, and total fractures) and changes in BMD (hip, spine, and whole body) in the Women's Health Initiative (WHI) Clinical Trials and Observational Study. A total of 139,211 postmenopausal women 50 to 79 years old without history of hip fracture were included in this prospective study. Medication use was ascertained directly from drug containers at baseline during in-person interviews in 1993 to 1998. Exposure measures included any use (use/non-use), type of nitrate (as-needed, maintenance) and duration of use (≤5 years, &gt;5 years). We used separate multivariable Cox proportional hazard models to analyze associations between each exposure and fracture outcome, with results presented as hazard ratios (HRs) and 95% confidence intervals (CIs). Multivariable linear regression models were used to examine 3-year and 6-year changes in BMD. At baseline, 1.2% (n = 1647) women were using a nitrate. During the mean ± SD follow-up of 7.7 ± 1.5 years through 2005, women experienced 1582 hip fractures, 5156 wrist or arm fractures, and 22, 589 total fractures. After adjustment for confounders, nitrate use was not statistically associated with risk for hip (HR, 0.81; 95% CI, 0.56 to 1.18), wrist/arm (HR, 0.95; 95% CI, 0.74 to 1.23), or total fractures (HR, 0.96; 95% CI, 0.85 to 1.08). As-needed nitrate use, but not maintenance therapy, was associated with a lower risk of total fractures (HR, 0.77; 95% CI, 0.62 to 0.95) and wrist/arm fractures (HR, 0.57; 95% CI, 0.34 to 0.98). Nitrate use was not associated with 3-year or 6-year changes in BMD at any site. We conclude that any nitrate use was not significantly associated with lower risk of fractures or higher BMD; however, as-needed nitrate use was associated with lower risks of total and wrist/arm fractures. © 2016 American Society for Bone and Mineral Research

    Symptom clusters among MsFLASH clinical trial participants.

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    ObjectiveOur objective was to identify symptom clusters using standardized measures completed by participants in the Menopausal Strategies: Finding Lasting Answers to Symptoms and Health clinical trial at baseline, including hot flash interference, and sleep, depressive, anxiety, and pain symptoms.MethodsData from all women randomized to interventions and controls from Menopausal Strategies: Finding Lasting Answers to Symptoms and Health studies 1, 2, and 3 (N = 899) were included; 797 with complete data were used in the analyses. Scores from standardized measures obtained at baseline included the following: Hot Flash-Related Daily Interference Scale, Insomnia Severity Index, Pittsburgh Sleep Quality Index, Patient Health Questionnaire-9 measure of depressed mood, Generalized Anxiety Disorder, and Brief Pain Inventory PEG scores (pain intensity [P], interference with enjoyment of life [E], and interference with daily activity [G]). Latent class analysis was used to identify symptom clusters using standardized scale scores and their established cut points.ResultsWe identified five classes using the Bayesian Information Criterion and the Akaike Information Criterion. Women in classes 1 and 2 had high hot flash interference levels relative to the others, and class 1 (10.5% of total) included severe hot flash interference, severe sleep symptoms, and moderately severe pain symptoms (hot flash, sleep, pain). In class 2 (14.1%), severe hot flash interference was paired with the severe sleep symptoms, and moderate to severe depressed and anxious mood symptoms and pain (hot flash, sleep, mood, pain). In class 3 (39.6%), women reported moderately severe sleep symptoms with moderate hot flash interference, and low severity mood and pain symptoms (hot flash, sleep). Those in class 4 (7.0%) reported moderate hot flash interference with severe levels of anxiety and depressed mood symptoms, but low levels of other symptoms (hot flash, mood). Women in class 5 (28.7%) reported the lowest levels of all the five symptoms (low severity symptoms).ConclusionsWomen meeting hot flash frequency criteria for inclusion in clinical trials exhibited multiple co-occurring symptoms that clustered into identifiable groups according to symptom interference and severity. Variability of symptom profiles between the classes was evident, indicating that the classes were composed of differing symptom types and not simply differing severity levels. These symptom clusters may be useful phenotypes for differentiating treatment effects or evaluating associations with biomarkers or genes
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