Anticholinergic medication use and falls in postmenopausal women: findings from the women's health initiative cohort study

Background

Results from studies assessing the association between anticholinergic use and falls are mixed, and prior studies are limited in their ability to control for important potential confounders. Thus, we sought to examine the association between anticholinergic medication use, including over-the-counter medications, and recurrent falls in community-dwelling older women.

Methods

We analyzed data from a prospective cohort study of women aged 65 to 79 years from the Women’s Health Initiative Observational Study and Clinical Trials. Women were recruited between 1993 and 1998, and analyses included 61,451 women with complete information. Medications with moderate or strong anticholinergic effects were ascertained directly from drug containers during face-to-face interviews. The main outcome measure was recurrent falls (≥2 falls in previous year), which was determined from self-report within 1.5 years subsequent to the medication assessment.

Results

At baseline, 11.3 % were using an anticholinergic medication, of which antihistamines (commonly available over-the-counter) were the most common medication class (received by 45.2 % of individuals on anticholinergic medication). Using multivariable GEE models and controlling for potential confounders, the adjusted odds ratio for anticholinergic medication use was 1.51 (95 % CI, 1.43–1.60) for recurrent falls. Participants using multiple anticholinergic medications had a 100 % increase in likelihood of recurrent falls (adjusted odds ratio 2.00, 95 % CI 1.73–2.32). Results were robust to sensitivity analysis.

Conclusions

Anticholinergic medication use was associated with increased risk for recurrent falls. Our findings reinforce judicious use of anticholinergic medications in older women. Public health efforts should emphasize educating older women regarding the risk of using over-the-counter anticholinergics, such as first-generation antihistamines.

Electronic supplementary material

The online version of this article (doi:10.1186/s12877-016-0251-0) contains supplementary material, which is available to authorized users.

A yoga & exercise randomized controlled trial for vasomotor symptoms: Effects on heart rate variability

OBJECTIVES

Heart rate variability (HRV) reflects the integration of the parasympathetic nervous system with the rest of the body. Studies on the effects of yoga and exercise on HRV have been mixed but suggest that exercise increases HRV. We conducted a secondary analysis of the effect of yoga and exercise on HRV based on a randomized clinical trial of treatments for vasomotor symptoms in peri/post-menopausal women.

DESIGN

Randomized clinical trial of behavioral interventions in women with vasomotor symptoms (n=335), 40-62 years old from three clinical study sites.

INTERVENTIONS

12-weeks of a yoga program, designed specifically for mid-life women, or a supervised aerobic exercise-training program with specific intensity and energy expenditure goals, compared to a usual activity group.

MAIN OUTCOME MEASURES

Time and frequency domain HRV measured at baseline and at 12 weeks for 15min using Holter monitors.

RESULTS

Women had a median of 7.6 vasomotor symptoms per 24h. Time and frequency domain HRV measures did not change significantly in either of the intervention groups compared to the change in the usual activity group. HRV results did not differ when the analyses were restricted to post-menopausal women.

CONCLUSIONS

Although yoga and exercise have been shown to increase parasympathetic-mediated HRV in other populations, neither intervention increased HRV in middle-aged women with vasomotor symptoms. Mixed results in previous research may be due to sample differences. Yoga and exercise likely improve short-term health in middle-aged women through mechanisms other than HRV.

Performance of the Breast Cancer Risk Assessment Tool Among Women Age 75 Years and Older

BACKGROUND

The Breast Cancer Risk Assessment Tool (BCRAT, "Gail model") is commonly used for breast cancer prediction; however, it has not been validated for women age 75 years and older.

METHODS

We used Nurses' Health Study (NHS) data beginning in 2004 and Women's Health Initiative (WHI) data beginning in 2005 to compare BCRAT's performance among women age 75 years and older with that in women age 55 to 74 years in predicting five-year breast cancer incidence. BCRAT risk factors include: age, race/ethnicity, age at menarche, age at first birth, family history, history of benign breast biopsy, and atypia. We examined BCRAT's calibration by age by comparing expected/observed (E/O) ratios of breast cancer incidence. We examined discrimination by computing c-statistics for the model by age. All statistical tests were two-sided.

RESULTS

Seventy-three thousand seventy-two NHS and 97 081 WHI women participated. NHS participants were more likely to be non-Hispanic white (96.2% vs 84.7% in WHI, P < .001) and were less likely to develop breast cancer (1.8% vs 2.0%, P = .02). E/O ratios by age in NHS were 1.16 (95% confidence interval [CI] = 1.09 to 1.23, age 57-74 years) and 1.31 (95% CI = 1.18 to 1.45, age ≥ 75 years, P = .02), and in WHI 1.03 (95% CI = 0.97 to 1.09, age 55-74 years) and 1.10 (95% CI = 1.00 to 1.21, age ≥ 75 years, P = .21). E/O ratio 95% confidence intervals crossed one among women age 75 years and older when samples were limited to women who underwent mammography and were without significant illness. C-statistics ranged between 0.56 and 0.58 in both cohorts regardless of age.

CONCLUSIONS

BCRAT accurately predicted breast cancer for women age 75 years and older who underwent mammography and were without significant illness but had modest discrimination. Models that consider individual competing risks of non-breast cancer death may improve breast cancer risk prediction for older women.

The Impact of Multimorbidity and Coronary Disease Comorbidity on Physical Function in Women Aged 80 Years and Older: The Women's Health Initiative

BACKGROUND

A better understanding of medically centered outcomes, such as physical function, for older women with multiple chronic conditions is a national public health priority.

METHODS

The prevalence of multimorbidity (defined as having 2 chronic conditions from a list of 12) and comorbidity with coronary disease (CHD) were calculated for 33,386 women who were enrolled in the Women's Health Initiative since 1993-1998 and were ≥ 80 years old by mid-September 2012. Associations between multimorbidity and CHD comorbidity on RAND-36 physical function scores were estimated using linear regression models.

RESULTS

The prevalence of multimorbidity in this sample was 59%. Women with 0-1 chronic condition had a mean physical function score of 74 (95% confidence interval [CI]: 73, 74). Relative decrements in physical function scores were -8 (95% CI: -8, -7), -13 (95% CI: -14, -12) and -19 (95% CI: -20, -18) in women with 2, 3, and ≥ 4 chronic conditions, respectively. Women with CHD in combination with hip fractures or cognitive impairment had the largest adjusted decreases in physical function scores compared to the scores for women with CHD only. The impact of select characteristics on physical function scores between multimorbid and non-multimorbid women were similar; however, overall mean physical functions scores were lower for women with multmorbidity.

CONCLUSIONS

Multimorbidity profoundly impacted physical functioning in women aged more than 80 years. Modifiable risk factors, such as obesity and physical activity, were similar in older women regardless of multimorbidity status and provide targets for health interventions aimed at preventing loss of late-age physical functioning.

Oral contraceptive use and fracture risk around the menopausal transition

OBJECTIVE

The effect of oral contraceptive (OC) use on risk of fracture remains unclear, and use during later reproductive life may be increasing. To determine the association between OC use during later reproductive life and risk of fracture across the menopausal transition, we conducted a population-based case-control study in a Pacific Northwest HMO, Group Health Cooperative.

METHODS

For the January 2008 to March 2013 interval, 1,204 case women aged 45 to 59 years with incident fractures, and 2,275 control women were enrolled. Potential cases with fracture codes in automated data were adjudicated by electronic health record review. Potential control women without fracture codes were selected concurrently, sampling based on age. Participants received a structured study interview. Using logistic regression, associations between OC use and fracture risk were calculated as odds ratios (ORs) and 95% confidence intervals (CIs).

RESULTS

Participation was 69% for cases and 64% for controls. The study sample was 82% white; mean age was 54 years. The most common fracture site for cases was the wrist/forearm (32%). Adjusted fracture risk did not differ between cases versus controls for OC use in the 10 years before menopause (OR 0.90, 95% CI 0.74, 1.11); for OC use after age 38 (OR 0.94, 95% CI 0.78, 1.14); for duration of use, or for other OC exposures.

CONCLUSIONS

The current study does not show an association between fractures near the menopausal transition and OC use in the decade before menopause or after age 38. For women considering OC use at these times, fracture risk does not seem to be either reduced or-reassuringly-increased.

Association Between Chronic Conditions and Physical Function Among Veteran and Non-Veteran Women With Diabetes

PURPOSE OF THE STUDY

To compare the number of chronic conditions among a list of 12 and their association with physical function among postmenopausal non-Veteran and Veteran women with diabetes.

DESIGN AND METHODS

Among women with diabetes from the Women's Health Initiative, we compared the average number of chronic conditions between non-Veterans and Veterans and the association between total number of chronic conditions on subsequent RAND-36 physical function. To examine associations between each condition and subsequent physical function, we compared women with diabetes plus one chronic condition to women with diabetes alone using linear regression in separate models for each condition and for non-Veterans and Veterans.

RESULTS

Both non-Veterans (N = 23,542) and Veterans (N = 618) with diabetes had a median of 3 chronic conditions. Decreases in physical function for each additional condition were larger among Veterans than non-Veterans (-6.3 vs. -4.1 points). Decreases in physical function among women with diabetes plus one chronic condition were greater than that reported for diabetes alone for all combinations and were more pronounced among Veterans (non-Veterans: -11.1 to -24.2, Veterans: -16.6 to -40.4 points). Hip fracture, peripheral artery disease, cerebrovascular disease, and coronary disease in combination with diabetes were associated with the greatest decreases in physical function.

IMPLICATIONS

Chronic conditions were common among postmenopausal women with diabetes and were associated with large declines in physical function, particularly among Veterans. Interventions to prevent and reduce the impact of these conditions and facilitate coordination of care among women with diabetes may help them maintain physical function.

Aging Well Among Women Veterans Compared With Non-Veterans in the Women's Health Initiative

PURPOSE OF THE STUDY

To examine whether Veteran status influences (a) women's survival to age 80 years without disease and disability and (b) indicators of successful, effective, and optimal aging at ages 80 years and older.

DESIGN AND METHODS

The Women's Health Initiative (WHI) enrolled 161,808 postmenopausal women aged 50-79 years from 1993 to 1998. We compared successful aging indicators collected in 2011-2012 via mailed questionnaire among 33,565 women (921 Veterans) who reached the age of 80 years and older, according to Veteran status. A second analysis focused on women with intact mobility at baseline who could have reached age 80 years by December 2013. Multinominal logistic models examined Veteran status in relation to survival to age 80 years without major disease or mobility disability versus having prevalent or incident disease, having mobility disability, or dying prior to age 80 years.

RESULTS

Women Veterans aged 80 years and older reported significantly lower perceived health, physical function, life satisfaction, social support, quality of life, and purpose in life scale scores compared with non-Veterans. The largest difference was in physical function scores (53.0 for Veterans vs 59.5 for non-Veterans; p < .001). Women Veterans were significantly more likely to die prior to age 80 years than non-Veteran WHI participants (multivariate adjusted odds ratio = 1.20; 95% confidence interval, 1.04-1.38). In both Veteran and non-Veteran women, healthy survival was associated with not smoking, higher physical activity, healthy body weight, and fewer depressive symptoms.

IMPLICATIONS

Intervening upon smoking, low physical activity, obesity, and depressive symptoms has potential to improve chances for healthy survival in older women including Veterans.

Depression and quality of life before and after breast cancer diagnosis in older women from the Women's Health Initiative

PURPOSE

Distress and reduced quality of life (QOL) are common among people with cancer. No study has compared these variables after breast cancer diagnosis to pre-cancer diagnosis levels.

METHODS

Data on women with breast cancer 50 years of age or older (n = 6949) were analyzed from the Women's Health Initiative (1993-2013). Health-related QOL (physical function, mental health) was measured using Rand-36. Depressive symptoms were measured with the six-item Center for Epidemiologic Studies Depression scale. Assessments occurred before and after the cancer diagnosis. Hierarchical linear modeling compared pre-cancer QOL and depressive symptoms to levels post-diagnosis and tested whether pre-cancer physical activity, stressful life events, sleep disturbance, and pain predicted post-diagnosis outcomes.

RESULTS

Compared with pre-cancer levels, depressive symptoms increased (20.0% increase at 0-6 months, 12.9% increase at 6-12 months), while physical function (-3.882 points at 0-6 months, -3.545 at 6-12 months) and mental health decreased (-2.899 points at 0-6 months, -1.672 at 6-12 months) in the first year after diagnosis (all p < .01). Depressive symptoms returned to pre-cancer levels after 10 years, but QOL remained significantly lower. At more than 10 years post-diagnosis, physical function was 2.379 points lower than pre-cancer levels (p < 0.01) while mental health was 1.922 points lower (p < 0.01). All pre-cancer predictors were associated with all outcomes. Pain predicted uniquely greater decreases in physical function post-diagnosis.

CONCLUSIONS

Depressive symptoms increased and QOL decreased following breast cancer diagnosis compared with pre-cancer levels, particularly in the first year.

IMPLICATIONS FOR CANCER SURVIVORS

QOL may remain lower for years after breast cancer diagnosis, although decreases are small.

Calibrating physical activity intensity for hip-worn accelerometry in women age 60 to 91 years: The Women's Health Initiative OPACH Calibration Study

OBJECTIVE

We conducted a laboratory-based calibration study to determine relevant cutpoints for a hip-worn accelerometer among women ≥60 years, considering both type and filtering of counts.

METHODS

Two hundred women wore an ActiGraph GT3X+ accelerometer on their hip while performing eight laboratory-based activities. Oxygen uptake was measured using an Oxycon portable calorimeter. Accelerometer data were analyzed in 15-second epochs for both normal and low frequency extension (LFE) filters. Receiver operating characteristic (ROC) curve analyses were used to calculate cutpoints for sedentary, light (low and high), and moderate to vigorous physical activity (MVPA) using the vertical axis and vector magnitude (VM) counts.

RESULTS

Mean age was 75.5 years (standard deviation 7.7). The Spearman correlation between oxygen uptake and accelerometry ranged from 0.77 to 0.85 for the normal and LFE filters and for both the vertical axis and VM. The area under the ROC curve was generally higher for VM compared to the vertical axis, and higher for cutpoints distinguishing MVPA compared to sedentary and light low activities. The VM better discriminated sedentary from light low activities compared to the vertical axis. The area under the ROC curves were better for the LFE filter compared to the normal filter for the vertical axis counts, but no meaningful differences were found by filter type for VM counts.

CONCLUSION

The cutpoints derived for this study among women ≥60 years can be applied to ongoing epidemiologic studies to define a range of physical activity intensities.

Insecticide exposure and farm history in relation to risk of lymphomas and leukemias in the Women's Health Initiative observational study cohort

PURPOSE

Relationships of farm history and insecticide exposure at home or work with lymphohematopoietic (LH) neoplasm risk were investigated in a large prospective cohort of US women.

METHODS

In questionnaires, women self-reported history living or working on a farm, personally mixing or applying insecticides, insecticide application in the home or workplace by a commercial service, and treating pets with insecticides. Relationships with non-Hodgkin lymphoma (NHL), chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL), diffuse large B-cell lymphoma (DLBCL), follicular lymphoma, plasma cell neoplasms, and myeloid leukemia were investigated using Cox proportional hazard models. Age and farming history were explored as effect modifiers.

RESULTS

The analysis included 76,493 women and 822 NHL cases. Women who ever lived or worked on a farm had 1.12 times the risk of NHL (95% confidence interval [CI] = 0.95-1.32) compared to those who did not. Women who reported that a commercial service ever applied insecticides in their immediate surroundings had 65% higher risk of CLL/SLL (95% CI = 1.15-2.38). Women aged less than 65 years who ever applied insecticides had 87% higher risk of DLBCL (95% CI = 1.13-3.09).

CONCLUSIONS

Insecticide exposures may contribute to risk of CLL/SLL and DLBCL. Future studies should examine relationships of LH subtypes with specific types of household insecticides.

Prospective Analysis of Health and Mortality Risk in Veteran and Non-Veteran Participants in the Women's Health Initiative

BACKGROUND

The health of postmenopausal women veterans is a neglected area of study. A stronger empirical evidence base is needed, and would inform the provision of health care for the nearly 1 million U.S. women veterans currently 50 years of age or older. To this end, the present work compares salient health outcomes and risk of all-cause mortality among veteran and non-veteran participants of the Women's Health Initiative (WHI).

METHODS

This study features prospective analysis of long-term health outcomes and mortality risk (average follow-up, 8 years) among the 3,706 women veterans and 141,009 non-veterans who participated in the WHI Observational Study or Clinical Trials. Outcome measurements included confirmed incident cases of cardiovascular disease (CVD), cancer, diabetes, hip fractures, and all-cause mortality.

RESULTS

We identified 17,968 cases of CVD, 19,152 cases of cancer, 18,718 cases of diabetes, 2,817 cases of hip fracture, and 13,747 deaths. In Cox regression models adjusted for age, sociodemographic variables, and health risk factors, veteran status was associated with significantly increased risk of all-cause mortality (hazard ratio [HR], 1.13; 95% CI, 1.03-1.23), but not with risk of CVD (HR, 1.00; 95% CI, 0.90-1.11), cancer (HR, 1.04; 95% CI, 0.95-1.14), hip fracture (HR, 1.16; 95% CI, 0.94-1.43), or diabetes (HR, 1.00; 95% CI, 0.89-1.1).

CONCLUSIONS

Women veterans' postmenopausal health, particularly risk for all-cause mortality, warrants further consideration. In particular, efforts to identify and address modifiable risk factors associated with all-cause mortality are needed.

MsFLASH participants' priorities for alleviating menopausal symptoms

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.

Factors Associated with Nursing Home Admission after Stroke in Older Women

BACKGROUND

We examined the social and economic factors associated with nursing home (NH) admission in older women, overall and poststroke.

METHODS

The Women's Health Initiative (WHI) included women aged 50-79 years at enrollment (1993-1998). In the WHI Extension Study (2005-2010), participants annually reported any NH admission in the preceding year. Separate multivariate logistic regression models analyzed social and economic factors associated with long-term NH admission, defined as an admission on 2 or more questionnaires, overall and poststroke.

RESULTS

Of 103,237 participants, 8904 (8.6%) reported NH admission (2005-2010); 534 of 2225 (24.0%) women with incident stroke reported poststroke NH admission. Decreased likelihoods of NH admission overall were demonstrated for Asian, Black, and Hispanic women (versus whites, adjusted odds ratio [aOR] = .35-.44, P < .001) and women with higher income (aOR = .75, 95% confidence interval [CI] = .63-.90), whereas increased likelihoods of NH admission overall were seen for women with lower social support (aOR = 1.34, 95% CI = 1.16-1.54) and with incident stroke (aOR = 2.59, 95% CI = 2.15-3.12). Increased odds of NH admission after stroke were demonstrated for women with moderate disability after stroke (aOR = 2.76, 95% CI = 1.73-4.42). Further adjustment for stroke severity eliminated the association found for race/ethnicity, income, and social support.

CONCLUSIONS

The level of care needed after a disabling stroke may overwhelm social and economic structures in place that might otherwise enable avoidance of NH admission. We need to identify ways to provide care consistent with patients' preferences, even after a disabling stroke.

Whole-genome sequencing identifies EN1 as a determinant of bone density and fracture

The extent to which low-frequency (minor allele frequency (MAF) between 1-5%) and rare (MAF ≤ 1%) variants contribute to complex traits and disease in the general population is mainly unknown. Bone mineral density (BMD) is highly heritable, a major predictor of osteoporotic fractures, and has been previously associated with common genetic variants, as well as rare, population-specific, coding variants. Here we identify novel non-coding genetic variants with large effects on BMD (ntotal = 53,236) and fracture (ntotal = 508,253) in individuals of European ancestry from the general population. Associations for BMD were derived from whole-genome sequencing (n = 2,882 from UK10K (ref. 10); a population-based genome sequencing consortium), whole-exome sequencing (n = 3,549), deep imputation of genotyped samples using a combined UK10K/1000 Genomes reference panel (n = 26,534), and de novo replication genotyping (n = 20,271). We identified a low-frequency non-coding variant near a novel locus, EN1, with an effect size fourfold larger than the mean of previously reported common variants for lumbar spine BMD (rs11692564(T), MAF = 1.6%, replication effect size = +0.20 s.d., Pmeta = 2 × 10(-14)), which was also associated with a decreased risk of fracture (odds ratio = 0.85; P = 2 × 10(-11); ncases = 98,742 and ncontrols = 409,511). Using an En1(cre/flox) mouse model, we observed that conditional loss of En1 results in low bone mass, probably as a consequence of high bone turnover. We also identified a novel low-frequency non-coding variant with large effects on BMD near WNT16 (rs148771817(T), MAF = 1.2%, replication effect size = +0.41 s.d., Pmeta = 1 × 10(-11)). In general, there was an excess of association signals arising from deleterious coding and conserved non-coding variants. These findings provide evidence that low-frequency non-coding variants have large effects on BMD and fracture, thereby providing rationale for whole-genome sequencing and improved imputation reference panels to study the genetic architecture of complex traits and disease in the general population.

Leukocyte Telomere Length and Risks of Incident Coronary Heart Disease and Mortality in a Racially Diverse Population of Postmenopausal Women

OBJECTIVE

Telomeres are regions at the ends of chromosomes that maintain chromosomal structural integrity and genomic stability. In studies of mainly older, white populations, shorter leukocyte telomere length (LTL) is associated with cardiometabolic risk factors and increased risks of mortality and coronary heart disease (CHD). On average, African Americans (AfAm) have longer LTL than whites, but the LTL-CHD relationship in AfAm is unknown. We investigated the relationship of LTL with CHD and mortality among AfAm.

APPROACH AND RESULTS

Using a case-cohort design, 1525 postmenopausal women (667 AfAm and 858 whites) from the Women's Health Initiative had LTL measured in baseline blood samples by Southern blotting. CHD or mortality hazards ratios were estimated using race-stratified and risk factor-adjusted Cox proportional hazards models. There were 367 incident CHD (226 mortality) events in whites, whereas AfAm experienced 269 incident CHD (216 mortality) events during median follow-up of 13 years. Shorter LTL was associated with older age, current smoking, and white race/ethnicity. In whites, each 1 kilobase decrease in LTL was associated with 50% increased hazard of CHD, hazard ratio=1.50 (95% confidence interval, 1.08-2.10), P=0.017. There was no association between CHD and LTL in AfAm. White women with shorter LTL had higher risks of mortality. In contrast, shorter LTL was weakly associated with decreased mortality hazard in AfAm.

CONCLUSIONS

As one of the largest prospective studies of LTL associations with incident CHD and mortality in a racially diverse sample, our study suggests differences in LTL associations with CHD and mortality between white and AfAm postmenopausal women.

Gender and Age Differences in Hourly and Daily Patterns of Sedentary Time in Older Adults Living in Retirement Communities

Background

Total sedentary time varies across population groups with important health consequences. Patterns of sedentary time accumulation may vary and have differential health risks. The purpose of this study is to describe sedentary patterns of older adults living in retirement communities and illustrate gender and age differences in those patterns.

Methods

Baseline accelerometer data from 307 men and women (mean age = 84±6 years) who wore ActiGraph GT3X+ accelerometers for ≥ 4 days as part of a physical activity intervention were classified into bouts of sedentary time (<100 counts per minute). Linear mixed models were used to account for intra-person and site-level clustering. Daily and hourly summaries were examined in mutually non-exclusive bouts of sedentary time that were 1+, 5+, 10+, 20+, 30+, 40+, 50+, 60+, 90+ and 120+ minutes in duration. Variations by time of day, age and gender were explored.

Results

Men accumulated more sedentary time than women in 1+, 5+, 10+, 20+, 30+, 40+, 50+ and 60+ minute bouts; the largest gender-differences were observed in 10+ and 20+ minute bouts. Age was positively associated with sedentary time, but only in bouts of 10+, 20+, 30+, and 40+ minutes. Women had more daily 1+ minute sedentary bouts than men (71.8 vs. 65.2), indicating they break up sedentary time more often. For men and women, a greater proportion of time was spent being sedentary during later hours of the day than earlier. Gender differences in intra-day sedentary time were observed during morning hours with women accumulating less sedentary time overall and having more 1+ minute bouts.

Conclusions

Patterns identified using bouts of sedentary time revealed gender and age differences in the way in which sedentary time was accumulated by older adults in retirement communities. Awareness of these patterns can help interventionists better target sedentary time and may aid in the identification of health risks associated with sedentary behavior. Future studies should investigate the impact of patterns of sedentary time on healthy aging, disease, and mortality.

Development and application of an automated algorithm to identify a window of consecutive days of accelerometer wear for large-scale studies

BACKGROUND

Some accelerometer studies ask participants to document in a daily log when the device was worn. These logs are used to inform the window of consecutive days to extract from the accelerometer for analysis. Logs can be missing or inaccurate, which can introduce bias in the data. To mitigate this bias, we developed a simple computer algorithm that used data within the accelerometer to identify the window of consecutive wear days. To evaluate the algorithm's performance, we compared how well it agreed to the window of days identified by visual inspection and participant logs.

FINDINGS

Participants were older women (mean age 79 years) in a cohort study that aimed to examine the relationship of objective physical activity on cardiovascular health. The study protocol requested that participants wear an accelerometer 24 h per day over nine calendar days (to capture seven consecutive wear days) and to complete daily logs. A stratified sample with (n = 75) and without (n = 100) participant logs were selected. The Objective Physical Activity and Cardiovascular Health (OPACH) algorithm was applied to the accelerometer data to identify a window of up to seven consecutive wear days. Participant logs documented dates the device was first put on, worn, and removed. Using pre-established guidelines, two independent raters visually reviewed the accelerometer data and characterized the dates representing up to seven consecutive days of 24-h wear. Average agreement level between the two raters was 90%. The percent agreement was compared between the three methods. The OPACH algorithm and visual inspection had 83% agreement in identifying a window with the same total number of days, if one or more shifts in calendar dates were allowed. For visual inspection vs. logs and algorithm vs. logs, this agreement was 81 and 74%, respectively.

CONCLUSION

The OPACH algorithm can be efficiently and readily applied in large-scale accelerometer studies for the identification of a window of consecutive days of accelerometer wear. This algorithm was comparable to visual inspection and participant logs and might provide a quicker and more cost-effective alternative to selecting which data to extract from the accelerometer for analysis.

TRIAL REGISTRATION

clinicaltrials.gov identifier: NCT00000611.

Estrogen Metabolites Are Not Associated with Colorectal Cancer Risk in Postmenopausal Women

BACKGROUND

A potential protective role for estrogen in colon carcinogenesis has been suggested based on exogenous hormone use, but it is unclear from previous studies whether endogenous estrogens are related to colorectal cancer risk. These few prior studies focused on parent estrogens; none evaluated effects of estrogen metabolism in postmenopausal women.

METHODS

We followed 15,595 women (ages 55-80 years) enrolled in the Breast and Bone Follow-up to the Fracture Intervention Trial (B∼FIT) who donated blood between 1992 and 1993 for cancer through December 2004. A panel of 15 estrogen metabolites (EM), including estradiol and estrone, were measured in serum from 187 colorectal cancer cases and a subcohort of 501 women not using exogenous hormones at blood draw. We examined EM individually, grouped by pathway (hydroxylation at the C-2, C-4, or C-16 position) and by ratios of the groupings using Cox proportional hazards regression models.

RESULTS

No significant associations were seen for estrone (HRQ4 vs. Q1 = 1.15; 95% CI, 0.69-1.93; Ptrend = 0.54), estradiol (HRQ4 vs. Q1 = 0.98; 95% CI, 0.58-1.64; Ptrend > 0.99), or total EM (the sum of all EM; HRQ4 vs. Q1 = 1.35; 95% CI, 0.81-2.24; Ptrend = 0.33). Most metabolites in the 2-, 4-, or 16-pathway were unrelated to risk, although a borderline trend in risk was associated with high levels of 17-epiestriol.

CONCLUSION

Circulating estrogens and their metabolites were generally unrelated to colorectal cancer risk in postmenopausal women.

IMPACT

Additional studies are needed to understand how exogenous estrogen may prevent colorectal cancer.

Baseline age and time to major fracture in younger postmenopausal women

OBJECTIVE

This study aims to estimate the incidence of first hip or clinical vertebral fracture or major osteoporotic (hip, clinical vertebral, proximal humerus, or wrist) fracture in postmenopausal women undergoing their first bone mineral density (BMD) test before age 65 years.

METHODS

We studied 4,068 postmenopausal women, aged 50 to 64 years without hip or clinical vertebral fracture or antifracture treatment at baseline, who were participating in the Women's Health Initiative BMD cohort study. BMD tests were performed between October 1993 and April 2005, with fracture follow-up through 2012. Outcomes were the time for 1% of women to sustain a hip or clinical vertebral fracture and the time for 3% of women to sustain a major osteoporotic fracture before initiating treatment, adjusting for clinical risk factors and accounting for competing risks. Women without osteoporosis and women with osteoporosis on their first BMD test were analyzed separately.

RESULTS

During a maximum of 11.2 years of concurrent BMD and fracture follow-up, the adjusted estimated time for 1% of women to have a hip or clinical vertebral fracture was 12.8 years (95% CI, 8.0-20.4) for women aged 50 to 54 years without baseline osteoporosis, 7.6 years (95% CI, 4.8-12.1) for women aged 60 to 64 years without baseline osteoporosis, and 3.0 years (95% CI, 1.3-7.1) for all women aged 50 to 64 years with baseline osteoporosis. Results for major osteoporotic fracture were similar.

CONCLUSIONS

Because of very low rates of major osteoporotic fracture, postmenopausal women aged 50 to 64 years without osteoporosis on their first BMD test are unlikely to benefit from frequent rescreening before age 65 years.

Mobility device use in older adults and incidence of falls and worry about falling: findings from the 2011-2012 national health and aging trends study

OBJECTIVES

To examine the prevalence of mobility device use in community-dwelling older adults in the United States and to investigate the incidence of falls and worry about falling according to type and number of mobility devices used.

DESIGN

Analysis of cross-sectional and longitudinal data from the 2011-12 National Health and Aging Trends Study.

SETTING

In-person interviews in the homes of study participants.

PARTICIPANTS

Nationally representative sample of Medicare beneficiaries (n=7,609).

MEASUREMENTS

Participants were asked about mobility device use (e.g., canes, walkers, wheelchairs and scooters) in the last month, 1-year fall history and worry about falling.

RESULTS

Twenty-four percent of adults aged 65 and older reported mobility device use in 2011, and 9.3% reported using multiple devices within the last month. Mobility device use increased with advancing age and was associated with nonwhite race and ethnicity, female sex, lower education level, greater multimorbidity, and obesity (all P<.001). Adjusting for demographic and health characteristics and physical function, the incidence of falls and recurrent falls was not associated with the use of multiple devices or any particular type of mobility device. Activity-limiting worry about falling was significantly higher in cane-only users than in nonusers.

CONCLUSION

The percentage of older adults reporting mobility device use is higher than results from previous national surveys, and multiple device use is common in those who use any device. Mobility device use is not associated with greater incidence of falls. Cane-only users may compensate for worry about falling by limiting activity.

Dispositional optimism and terminal decline in global quality of life

We examined whether dispositional optimism relates to change in global quality of life (QOL) as a function of either chronological age or years to impending death. We used a sample of 2,096 deceased postmenopausal women from the Women's Health Initiative clinical trials who were enrolled in the 2005-2010 Extension Study and for whom at least 1 global QOL and optimism measure were analyzed. Growth curve models were examined. Competing models were contrasted using model fit criteria. On average, levels of global QOL decreased with both higher age and closer proximity to death (e.g., M(score) = 7.7 eight years prior to death vs. M(score) = 6.1 one year prior to death). A decline in global QOL was better modeled as a function of distance to death (DtD) than as a function of chronological age (Bayesian information criterion [BIC](DtD) = 22,964.8 vs. BIC(age) = 23,322.6). Optimism was a significant correlate of both linear (estimate(DtD) = -0.01, SE(DtD) = 0.005; ρ = 0.004) and quadratic (estimate(DtD) = -0.006, SE(DtD) = 0.002; ρ = 0.004) terminal decline in global QOL so that death-related decline in global QOL was steeper among those with a high level of optimism than those with a low level of optimism. We found that dispositional optimism helps to maintain positive psychological perspective in the face of age-related decline. Optimists maintain higher QOL compared with pessimists when death-related trajectories were considered; however, the gap between those with high optimism and those with low optimism progressively attenuated with closer proximity to death, to the point that is became nonsignificant at the time of death.

Global quality of life modifies terminal change in physical functioning among older adult women

BACKGROUND

the factors that moderate decline in physical functioning as death approaches are understudied. This study aimed to assess death-related decline in global quality of life (QoL) and physical functioning and to test whether baseline QoL moderates terminal decline in physical functioning.

METHODS

four thousand six hundred and fifty-one decedents from the Women's Health Initiative Study (WHI) rated QoL and physical functioning each year throughout 5 years of follow-up.

RESULTS

both QoL and physical functioning showed a steeper decline as a function of years to death than as a function of chronological age. Moreover, decedents with higher QoL at baseline showed a less steep decline in physical functioning as death approached than those with lower QoL at baseline.

CONCLUSION

although QoL strongly decreases across the terminal years, its beneficial influence on physical functioning is evident till the very end of life.