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Background: It is well established that individual medications that affect the central nervous system (CNS) increase falls risk in older adults. However, less is known about risks associated with taking multiple CNS-active medications.Methods: Employing a new user design, we used data from the Adult Changes in Thought study, a prospective cohort of community-dwelling people aged 65 and older without dementia. We created a time-varying composite measure of CNS-active medication exposure from electronic pharmacy fill data and categorized into mutually exclusive categories: current (within prior 30 days), recent (31-90 days), past (91-365 days), or nonuse (no exposure in prior year). We calculated standardized daily dose and identified new initiation. Cox proportional hazards models examined the associations between exposures and the outcome of fall-related injury identified from health plan electronic databases.Results: Two thousand five hundred ninety-five people had 624 fall-related injuries over 15,531 person-years of follow-up. Relative to nonuse, fall-related injury risk was significantly greater for current use of CNS-active medication (hazard ratio [HR] = 1.95; 95% CI = 1.57-2.42), but not for recent or past use. Among current users, increased risk was noted with all doses. Risk was increased for new initiation compared with no current use (HR = 2.81; 95% CI = 2.09-3.78). Post hoc analyses revealed that risk was especially elevated with new initiation of opioids.Conclusions: We found that current use, especially new initiation, of CNS-active medications was associated with fall-related injury in community-dwelling older adults. Increased risk was noted with all dose categories. Risk was particularly increased with new initiation of opioids. [ABSTRACT FROM AUTHOR]

Background. We sought to examine whether frailty is associated with dementia, Alzheimer’s disease (AD), and non-AD dementia risk. Methods. This is a prospective population-based cohort derived from an integrated health maintenance organization. The sample consisted of 2,619 participants aged 65 and older without dementia at baseline followed from 1994 to 2010. Frailty was defined as having at least 3 of the following criteria: weakness (grip strength), slowness (walking speed), weight loss, low physical activity, and self-reported exhaustion. Follow-up occurred every 2 years to identify incident dementia, possible or probable AD, and non-AD dementia using standard research criteria. Covariates came from self-report and study measures. We used adjusted Cox proportional hazards models to examine the association between frailty and each outcome. Results. Over a mean follow-up of 6.5 years, 521 participants developed dementia (of which 448 developed AD). In the model adjusted for age, sex, education, and race, the hazard ratio for frailty was 1.78 (95% confidence interval [CI] 1.32–2.40). In the fully adjusted models, the hazard ratio for frailty was 1.20 for all-cause dementia (95% CI 0.85–1.69), 1.08 for AD (95% CI 0.74–1.57), and 2.57 for non-AD dementia (95% CI 1.08–6.11). For all-cause dementia, we found an interaction between baseline cognitive score and frailty (p = .02); hazard ratio for frailty was 1.78 for those with higher global cognition (95% CI 1.14–2.78) and 0.79 for those with lower global cognition (95% CI 0.50–1.26). Conclusion. Frailty was associated with dementia when adjusting only for demographic variables but not in the fully adjusted model. Frailty was associated with higher risk of developing non-AD dementia but not AD. Although frailty was not associated with all-cause dementia in the entire sample, an association did exist in participants with higher cognitive scores. Mechanisms underlying these associations remain to be elucidated. [ABSTRACT FROM PUBLISHER]

Background: The association between glucose levels and incident frailty in older persons remains unclear. We examined the extent to which higher glucose levels in older adults with and without diabetes are related to risk of frailty.Methods: The data are from the Adult Changes in Thought study. We identified 1,848 individuals aged 65+ without dementia for whom glucose levels from laboratory measurements of glucose and glycated hemoglobin were available. Physical frailty using modified Fried's criteria was determined from biennial assessments. Frailty hazard was modeled as a function of time-varying measures of diabetes and average glucose levels using Cox regression.Results: A total of 578 incident frailty cases (94 with diabetes, 484 without) occurred during a median follow-up of 4.8 years. The adjusted hazard ratio for frailty comparing those with and without diabetes was 1.52 (95% confidence interval = 1.19-1.94). In participants without diabetes, modeling suggested elevated frailty risk with greater average glucose levels (p = .019); for example, a glucose level of 110mg/dL compared with 100mg/dL yielded a hazard ratio of 1.32 (95% confidence interval = 1.09-1.59). In participants with diabetes, glucose levels less than 160mg/dL and greater than 180mg/dL were related to increased risk of frailty (p = .001).Conclusion: Higher glucose levels may be a risk factor for frailty in older adults without diabetes. The apparent U-shape association between glucose levels and frailty in people with diabetes is consistent with the literature on glycemia and mortality and deserves further examination. [ABSTRACT FROM AUTHOR]

Purpose of the Study: Postmenopausal osteoporosis can impact quality-of-life even prefracture. To determine whether osteoporosis should be a greater concern in women Veterans versus non-Veterans, we compared fracture rates and bone mineral density (BMD) for Veterans and non-Veterans using Women's Health Initiative data. Design and Methods: In this cohort study, participants were women aged 50-79 years. Outcomes were hip, central body, and limb fractures occurring during up to 19 years of follow-up and hip, spine, and whole body BMD collected three times over a 6-year period in a participant subsample. Covariates comprised risk factors for fracture, including fall history and other components of the World Health Organization Fracture Risk Assessment Tool (FRAX). Cox Proportional Hazards models were used to examine fracture rates for Veterans compared with non-Veterans. Results: Of 161,808 women, 145,521 self-identified as Veteran (n = 3,719) or non-Veteran (n = 141,802). Baseline FRAX scores showed that Veterans had higher 10-year probabilities for any major fracture (13.3 vs 10.2; p < .01) and hip fracture (4.1 vs 2.2; p < .01) compared with non-Veterans. The age-adjusted rate of hip fracture per 1,000 person-years for Veterans was 3.3 versus 2.4 for non-Veterans (p < .01). After adjustment, the hazards ratio for hip fracture was 1.24 (95% confidence interval 1.03-1.49) for Veterans versus non-Veterans. Hazards ratios at other anatomic sites did not differ by Veteran status. Mean BMD at baseline and at Years 3 and 6 also did not differ by Veteran status at any site. Implications: Women Veterans had an increased hip fracture rate not explained by differences in well-recognized fracture risk factors. [ABSTRACT FROM AUTHOR]

Purpose of the Study: To compare the prevalence and cardiometabolic health impact of sleep disturbance among postmenopausal Veteran and non-Veteran participants in the Women's Health Initiative (WHI). Design and Methods: The prevalence of five categories of sleep disturbance--medication/alcohol use for sleep; risk for insomnia; risk for sleep disordered breathing [SDB]; risk for comorbid insomnia and SDB (insomnia + SDB); and aberrant sleep duration [SLD]--was compared in 3,707 Veterans and 141,354 non-Veterans using logistic or multinomial regression. Cox proportional hazards models were used to evaluate the association of sleep disturbance and incident cardiovascular disease (CVD) and Type 2 diabetes in Veterans and non-Veterans. Results: Women Veterans were more likely to have high risk for insomnia + SDB relative to non-Veteran participants. However, prevalence of other forms of sleep disturbance was similar across groups. Baseline sleep disturbance was not differentially associated with cardiometabolic health outcomes in Veteran versus non-Veteran women. Risks for SDB and insomnia + SDB were both linked to heightened risk of CVD and diabetes; SLD was consistently linked with greater risk of CVD and diabetes in non-Veterans but less strongly and consistently in Veterans. Implications: Efforts to identify and treat sleep disturbances in postmenopausal women are needed and may positively contribute to the attenuation of cardiometabolic morbidity risk. Increased awareness of women Veterans' vulnerability to postmenopausal insomnia + SDB may be particularly important for health care providers who treat this population. [ABSTRACT FROM AUTHOR]