Physical function trajectory after wrist or lower arm fracture in postmenopausal women: results from the Women's Health Initiative Study.

Long-term physical functioning trajectories following distal forearm fracture are unknown. We found that women with versus those without distal forearm fracture were more likely to experience a 5-year decline in physical functioning, independent of initial physical functioning level. This association was most evident among women 80 years and older. INTRODUCTION: Physical functioning trajectory following lower arm or wrist fracture is not well understood. PURPOSE: This study is to evaluate physical functioning trajectory before vs. after lower arm or wrist fracture, stratified by age. METHODS: We performed a nested case-control study of prospective data from the Women's Health Initiative Study (n = 2097 cases with lower arm or wrist fracture, 20,970 controls). Self-reported fractures and the physical functioning subscale of the RAND 36-item Short-Form Health Survey were assessed annually. We examined three physical functioning trajectory groups: stable, improving, and declining. RESULTS: Mean (SD) number of physical functioning measurements was 5.2 (1.5) for cases and 5.0 (1.4) for controls. Declining physical functioning was observed among 20.4% of cases and 16.0% of controls. Compared to women without lower arm or wrist fracture, women with lower arm or wrist fracture were 33% more likely to experience declining physical functioning (adjusted odds ratio [aOR] 1.33 95% confidence interval [CI] 1.19-1.49, reference group stable or improving physical functioning trajectory). Associations varied by age: age ≥ 80 years aOR 1.56 (95% CI 1.29-1.88); age 70-79 years aOR 1.29 (95% CI 1.09-1.52); age < 70 years aOR 1.15 (95% CI 0.86-1.53) (pinteraction = 0.06). Associations between lower arm or wrist fracture and odds of declining physical functioning did not vary by baseline physical functioning or physical activity level. CONCLUSIONS: Women with lower arm or wrist fracture, particularly those aged 80 and older, were more likely to experience declines in physical functioning than women without such fractures, independent of baseline physical functioning level.

Balancing fracture risk versus risk of mortality before fracture among women aged 80 years or older.

BACKGROUND: Most fractures occur in women aged ≥80 years but competing mortality unrelated to fracture may limit the benefit of osteoporosis drug therapy for some women in late life. Our primary aim was to develop separate prediction models for non-spine fracture (NSF) and mortality before fracture to identify subsets of women with varying fracture versus mortality risks. METHODS: Separate prediction models were developed for NSF and mortality before NSF for 4895 women aged ≥80 years enrolled in the Study of Osteoporotic Fractures (SOF) or the Health Aging and Body Composition (HABC) study. Proportional hazards models modified to account for competing mortality were used to identify candidate risk factors for each outcome. Predictors associated with NSF or mortality (p < 0.2) were included in separate competing risk models to estimate the cumulative incidence of NSF and mortality before NSF during 5 years of follow-up. This process was repeated to develop separate prediction models for hip fracture and mortality before hip fracture. RESULTS: Significant predictors of NSF (race, total hip BMD, grip strength, prior fracture, falls, and use of selective serotonin reuptake inhibitors, benzodiazepines, or oral/transdermal estrogen) differed from predictors of mortality before NSF (age, walking speed, multimorbidity, weight change, shrinking, smoking, self-rated health, dementia, and use of warfarin). Within nine subsets of women defined by tertiles of risk, 5-year outcomes varied from 28% NSF and 8% mortality in the high-risk NSF/low-risk mortality subset, to 9% NSF and 22% mortality in the low-risk NSF/high-risk mortality subset. Similar results were seen for predictors of hip fracture and mortality before hip fracture. CONCLUSION: Considerable variation in 5-year competing mortality risk is present among women in late life with similar 5-year NSF risk. Both fracture risk and life expectancy should inform shared clinical decision-making regarding initiation or continuation of osteoporosis drug therapy for women aged ≥80 years.

Osteoporosis.

Osteoporosis is a common systemic skeletal disorder resulting in bone fragility and increased fracture risk. Evidence-based screening strategies improve identification of patients who are most likely to benefit from drug treatment to prevent fracture. In addition, careful consideration of when pharmacotherapy should be started, choice of medication, and duration of treatment maximizes the benefits of fracture prevention while minimizing potential harms of long-term drug exposure.

The Vitamin D Metabolite Ratio Is Associated With Volumetric Bone Density in Older Men.

CONTEXT: Serum 25-hydroxyvitamin D (25(OH)D) is the current marker of vitamin D adequacy, but its relationship with bone health has been inconsistent. The ratio of 24,25-dihydroxyvitamin D3 to 25(OH)D3 (vitamin D metabolite ratio or VMR) is a marker of vitamin D that has been associated with longitudinal changes in bone mineral density (BMD) and fracture risk. OBJECTIVE: High-resolution peripheral quantitative computed tomography (HR-pQCT) provides information on bone health beyond standard dual-energy x-ray absorptiometry, in that it measures volumetric BMD (vBMD) as well bone strength. The relationship of the VMR with vBMD and bone strength remains unknown. METHODS: We evaluated the associations of the VMR and 25(OH)D3 with vBMD and bone strength in the distal radius and tibia, assessed by HR-pQCT in 545 older men participating in the Osteoporotic Fractures in Men (MrOS) Study. Primary outcomes were vBMD and estimated failure load (EFL, a marker of bone strength) at the distal radius and tibia. RESULTS: The mean age was 84 ± 4 years, 88.3% were White, and 32% had an estimated glomerular filtration rate <60 mL/min/1.73 m2. In adjusted models, each twofold higher VMR was associated with a 9% (3%, 16%) higher total vBMD and a 13% (5%, 21%) higher EFL at the distal radius. Results were similar at the distal tibia. 25(OH)D3 concentrations were not associated with any of the studied outcomes. CONCLUSION: Among older men, a higher VMR was associated with greater vBMD and bone strength while 25(OH)D3 was not. The VMR may serve as a valuable marker of skeletal health in older men.

Advantages and Disadvantages of Random Forest Models for Prediction of Hip Fracture Risk Versus Mortality Risk in the Oldest Old.

Targeted fracture prevention strategies among late-life adults should balance fracture risk versus competing mortality risk. Models have previously been constructed using Fine-Gray subdistribution methods. We used a machine learning method adapted for competing risk survival time to evaluate candidate risk factors and create models for hip fractures and competing mortality among men and women aged 80 years and older using data from three prospective cohorts (Study of Osteoporotic Fractures [SOF], Osteoporotic Fracture in Men study [MrOS], Health Aging and Body Composition study [HABC]). Random forest competing risk models were used to estimate absolute 5-year risk of hip fracture and absolute 5-year risk of competing mortality (excluding post-hip fracture deaths). Models were constructed for both outcomes simultaneously; minimal depth was used to rank and select variables for smaller models. Outcome specific models were constructed; variable importance was used to rank and select variables for inclusion in smaller random forest models. Random forest models were compared to simple Fine-Gray models with six variables selected a priori. Top variables for competing risk random forests were frailty and related components in men while top variables were age, bone mineral density (BMD) (total hip, femoral neck), and frailty components in women. In both men and women, outcome specific rankings strongly favored BMD variables for hip fracture prediction while frailty and components were strongly associated with competing mortality. Model discrimination for random forest models varied from 0.65 for mortality in women to 0.81 for hip fracture in men and depended on model choice and variables included. Random models performed slightly better than simple Fine-Gray model for prediction of competing mortality, but similarly for prediction of hip fractures. Random forests can be used to estimate risk of hip fracture and competing mortality among the oldest old. Modest gains in performance for mortality without hip fracture compared to Fine-Gray models must be weighed against increased complexity. © 2023 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.

Performance of Fracture Risk Assessment Tools by Race and Ethnicity: A Systematic Review for the ASBMR Task Force on Clinical Algorithms for Fracture Risk.

The American Society of Bone and Mineral Research (ASBMR) Professional Practice Committee charged an ASBMR Task Force on Clinical Algorithms for Fracture Risk to review the evidence on whether current approaches for differentiating fracture risk based on race and ethnicity are necessary and valid. To help address these charges, we performed a systematic literature review investigating performance of calculators for predicting incident fractures within and across race and ethnicity groups in middle-aged and older US adults. We included English-language, controlled or prospective cohort studies that enrolled US adults aged >40 years and reported tool performance predicting incident fractures within individual race and ethnicity groups for up to 10 years. From 4838 identified references, six reports met eligibility criteria, all in women. Just three, all from one study, included results in non-white individuals. In these three reports, non-white women experienced relatively few major osteoporotic fractures (MOFs), especially hip fractures, and risk thresholds for predicting fractures in non-white women were derived from risks in the overall, predominantly white study population. One report suggested the Fracture Risk Assessment Tool (FRAX) without bone mineral density (BMD) overestimated hip fracture similarly across race and ethnicity groups (black, Hispanic, American Indian, Asian, white) but overestimated MOF more in non-white than White women. However, these three reports were inconclusive regarding whether discrimination of FRAX or the Garvan calculator without BMD or of FRAX with BMD for MOF or hip fracture differed between white versus black women. This uncertainty was at least partly due to imprecise hip fracture estimates in black women. No reports examined whether ratios of observed to predicted hip fracture risks within each race or ethnicity group varied across levels of predicted hip fracture risk. © 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR). This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.

Race and Ethnicity and Fracture Prediction Among Younger Postmenopausal Women in the Women's Health Initiative Study.

Importance: The best approach to identify younger postmenopausal women for osteoporosis screening is uncertain. The Fracture Risk Assessment Tool (FRAX), which includes self-identified racial and ethnic information, and the Osteoporosis Self-assessment Tool (OST), which does not, are risk assessment tools recommended by US Preventive Services Task Force guidelines to identify candidates for bone mineral density (BMD) testing in this age group. Objective: To compare the ability of FRAX vs OST to discriminate between younger postmenopausal women who do and do not experience incident fracture during a 10-year follow-up in the 4 racial and ethnic groups specified by FRAX. Design, Setting, and Participants: This cohort study of Women's Health Initiative participants included 67 169 women (baseline age range, 50-64 years) with 10 years of follow-up for major osteoporotic fracture (MOF; including hip, clinical spine, forearm, and shoulder fracture) at 40 US clinical centers. Data were collected from October 1993 to December 2008 and analyzed between May 11, 2022, and February 23, 2023. Main Outcomes and Measures: Incident MOF and BMD (in a subset of 4607 women) were assessed. The area under the receiver operating characteristic curve (AUC) for FRAX (without BMD information) and OST was calculated within each racial and ethnic category. Results: Among the 67 169 participants, mean (SD) age at baseline was 57.8 (4.1) years. A total of 1486 (2.2%) self-identified as Asian, 5927 (8.8%) as Black, 2545 (3.8%) as Hispanic, and 57 211 (85.2%) as White. During follow-up, 5594 women experienced MOF. For discrimination of MOF, AUC values for FRAX were 0.65 (95% CI, 0.58-0.71) for Asian, 0.55 (95% CI, 0.52-0.59) for Black, 0.61 (95% CI, 0.56-0.65) for Hispanic, and 0.59 (95% CI, 0.58-0.59) for White women. The AUC values for OST were 0.62 (95% CI, 0.56-0.69) for Asian, 0.53 (95% CI, 0.50-0.57) for Black, 0.58 (95% CI, 0.54-0.62) for Hispanic, and 0.55 (95% CI, 0.54-0.56) for White women. For discrimination of femoral neck osteoporosis, AUC values were excellent for OST (range, 0.79 [95% CI, 0.65-0.93] to 0.85 [95% CI, 0.74-0.96]), higher for OST than FRAX (range, 0.72 [95% CI, 0.68-0.75] to 0.74 [95% CI, 0.60-0.88]), and similar in each of the 4 racial and ethnic groups. Conclusions and Relevance: These findings suggest that within each racial and ethnic category, the US FRAX and OST have suboptimal performance in discrimination of MOF in younger postmenopausal women. In contrast, for identifying osteoporosis, OST was excellent. The US version of FRAX should not be routinely used to make screening decisions in younger postmenopausal women. Future investigations should improve existing tools or create new approaches to osteoporosis risk assessment for this age group.

Incremental Health Care Costs of Self-Reported Functional Impairments and Phenotypic Frailty in Community-Dwelling Older Adults : A Prospective Cohort Study.

BACKGROUND: Health care systems need better strategies to identify older adults at risk for costly care to select target populations for interventions to reduce health care burden. OBJECTIVE: To determine whether self-reported functional impairments and phenotypic frailty are associated with incremental health care costs after accounting for claims-based predictors. DESIGN: Prospective cohort study. SETTING: Index examinations (2002 to 2011) of 4 prospective cohort studies linked with Medicare claims. PARTICIPANTS: 8165 community-dwelling fee-for-service beneficiaries (4318 women, 3847 men). MEASUREMENTS: Weighted (Centers for Medicare & Medicaid Services Hierarchical Condition Category index) and unweighted (count of conditions) multimorbidity and frailty indicators derived from claims. Self-reported functional impairments (difficulty performing 4 activities of daily living) and frailty phenotype (operationalized using 5 components) derived from cohort data. Health care costs ascertained for 36 months after index examinations. RESULTS: Average annualized costs (2020 U.S. dollars) were $13 906 among women and $14 598 among men. After accounting for claims-based indicators, average incremental costs of functional impairments versus no impairment in women (men) were $3328 ($2354) for 1 impairment increasing to $7330 ($11 760) for 4 impairments; average incremental costs of phenotypic frailty versus robust in women (men) were $8532 ($6172). Mean predicted costs adjusted for claims-based indicators in women (men) varied by both functional impairments and the frailty phenotype ranging from $8124 ($11 831) among robust persons without impairments to $18 792 ($24 713) among frail persons with 4 impairments. Compared with the model with claims-derived indicators alone, this model resulted in more accurate cost prediction for persons with multiple impairments or phenotypic frailty. LIMITATION: Cost data limited to participants enrolled in the Medicare fee-for-service program. CONCLUSION: Self-reported functional impairments and phenotypic frailty are associated with higher subsequent health care expenditures in community-dwelling beneficiaries after accounting for several claims-based indicators of costs. PRIMARY FUNDING SOURCE: National Institutes of Health.

Risk prediction models for diabetic foot ulcer development or amputation: a review of reviews.

BACKGROUND: In adults with diabetes, diabetic foot ulcer (DFU) and amputation are common and associated with significant morbidity and mortality. PURPOSE: Identify tools predicting risk of DFU or amputation that are prognostically accurate and clinically feasible. METHODS: We searched for systematic reviews (SRs) of tools predicting DFU or amputation published in multiple databases from initiation to January, 2023. We assessed risk of bias (ROB) and provided a narrative review of reviews describing performance characteristics (calibration and discrimination) of prognostically accurate tools. For such tools, we additionally reviewed original studies to ascertain clinical applicability and usability (variables included, score calculation, and risk categorization). RESULTS: We identified 3 eligible SRs predicting DFU or amputation risk. Two recent SRs (2020 and 2021) were rated as moderate and low ROB respectively. Four risk prediction models - Boyko, Martins-Mendes (simplified), Martins-Mendes (original), and PODUS 2020 had good prognostic accuracy for predicting DFU or amputation over time horizons ranging from 1- to 5-years. PODUS 2020 predicts absolute average risk (e.g., 6% risk of DFU at 2 years) and consists of 3-binary variables with a simple, summative scoring (0-4) making it feasible for clinic use. The other 3 models categorize risk subjectively (e.g., high-risk for DFU at 3 years), include 2-7 variables, and require a calculation device. No data exist to inform rescreening intervals. Furthermore, the effectiveness of targeted interventions in decreasing incidence of DFU or amputation in response to prediction scores is unknown. CONCLUSIONS: In this review of reviews, we identified 4 prognostically accurate models that predict DFU or amputation in persons with diabetes. The PODUS 2020 model, predicting absolute average DFU risk at 2 years, has the most favorable prognostic accuracy and is clinically feasible. Rescreening intervals and effectiveness of intervention based on prediction score are uncertain.

The association between multimorbidity and osteoporosis investigation and treatment in high-risk fracture patients in Australia: A prospective cohort study.

BACKGROUND: Multimorbidity is common among fracture patients. However, its association with osteoporosis investigation and treatment to prevent future fractures is unclear. This limited knowledge impedes optimal patient care. This study investigated the association between multimorbidity and osteoporosis investigation and treatment in persons at high risk following an osteoporotic fracture. METHODS AND FINDINGS: The Sax Institute's 45 and Up Study is a prospective population-based cohort of 267,153 people in New South Wales, Australia, recruited between 2005 and 2009. This analysis followed up participants until 2017 for a median of 6 years (IQR: 4 to 8). Questionnaire data were linked to hospital admissions (Admitted Patients Data Collection (APDC)), emergency presentations (Emergency Department Data Collection (EDDC)), Pharmaceutical Benefits Scheme (PBS), and Medicare Benefits Schedule (MBS). Data were linked by the Centre for Health Record Linkage and stored in a secured computing environment. Fractures were identified from APDC and EDDC, Charlson Comorbidity Index (CCI) from APDC, Dual-energy X-ray absorptiometry (DXA) investigation from MBS, and osteoporosis treatment from PBS. Out of 25,280 persons with index fracture, 10,540 were classified as high-risk based on 10-year Garvan Fracture Risk (age, sex, weight, prior fracture and falls) threshold ≥20%. The association of CCI with likelihood of investigation and treatment initiation was determined by logistic regression adjusted for education, socioeconomic and lifestyle factors). The high-risk females and males averaged 77 ± 10 and 86 ± 5 years, respectively; >40% had a CCI ≥2. Only 17% of females and 7% of males received a DXA referral, and 22% of females and 14% males received osteoporosis medication following fracture. A higher CCI was associated with a lower probability of being investigated [adjusted OR, females: 0.73 (95% CI, 0.61 to 0.87) and 0.43 (95% CI, 0.30 to 0.62); males: 0.47 (95% CI, 0.33 to 0.68) and 0.52 (0.31 to 0.85) for CCI: 2 to 3, and ≥4 versus 0 to 1, respectively] and of receiving osteoporosis medication [adjusted OR, females: 0.85 (95% CI, 0.74 to 0.98) and 0.78 (95% CI, 0.61 to 0.99); males: 0.75 (95% CI, 0.59 to 0.94) and 0.37 (95% CI, 0.23 to 0.53) for CCI: 2 to 3, and ≥4 versus 0 to 1, respectively]. The cohort is relatively healthy; therefore, the impact of multimorbidity on osteoporosis management may have been underestimated. CONCLUSIONS: Multimorbidity contributed significantly to osteoporosis treatment gap. This suggests that fracture risk is either underestimated or underprioritized in the context of multimorbidity and highlights the need for extra vigilance and improved fracture care in this setting.

Long-term changes of cognitive impairment among older breast cancer survivors.

PURPOSE: Cancer-related cognitive impairment is common during cancer treatment; however, it is unclear whether the impairment persists over time. Our study aimed to examine long-term cognitive impairment among older breast cancer survivors. METHODS: Participants included 2420 community-dwelling women aged 65 years or older at enrollment (1986-1988) (404 breast cancer cases and 1:5 matched cancer-free controls) from the Study of Osteoporotic Fractures. Participants were followed for 20 years with measured cognitive function repeated up to 6 times. Cognitive impairment was defined by the Modified Mini-Mental State Examination and Trail Making Test B. Generalized linear models were used to model risk of cognitive impairment in relation to breast cancer status and time from breast cancer diagnosis. RESULTS: Compared with controls, cognitive impairment in women with breast cancer significantly accelerated after cancer diagnosis. We also observed a more pronounced cognitive impairment after cancer diagnosis for women diagnosed with breast cancer at age ≥ 80 years or at advanced stage for both measures. CONCLUSION: Our study with more than 20 years of follow-up data found that breast cancer survivors had accelerated cognitive impairment after cancer diagnosis, especially among women diagnosed at older age or at advanced stage, relative to women without cancer. IMPLICATIONS FOR CANCER SURVIVORS: Breast cancer survivors may be encouraged to engage in both physical activity and cognitive training.

Characteristics Associated With 5-Year Fracture Risk Versus 5-Year Mortality Risk Among Late-Life Men.

BACKGROUND: Identifying late-life men who might benefit from treatment to prevent fracture is challenging given high mortality. Our objective was to evaluate risks of clinical fracture, hip fracture, and mortality prior to fracture among men aged at least 80 years. METHODS: Study participants included 3 145 community-dwelling men (mean [standard deviation] age 83 [2.8] years) from the Osteoporotic Fractures in Men (MrOS) Study. We used separate multivariable Fine-Gray competing risk models with prespecified risk factors (age, hip bone mineral density [BMD], recent fracture [<5 years], fall history [previous year], and multimorbidity [# conditions]) to estimate subdistribution hazard ratios and absolute 5-year risks of any clinical fracture and mortality prior to clinical fracture. Secondary analysis considered a hip fracture. RESULTS: There were 414 incident clinical fractures and 595 deaths without prior fracture within 5 years. BMD, fall history, and recent fracture were strong predictors of clinical fracture. Age and multimorbidity were strong predictors of mortality before fracture. After accounting for competing risks, age, BMD, and fall history were each associated with both risks of hip fracture and mortality before hip fracture. Model discrimination varied from 0.65 (mortality before fracture) to 0.79 (hip fracture). Estimated mortality differed substantially among men with similar clinical fracture risk due to a modest correlation between fracture risk and competing mortality risk = 0.37. CONCLUSION: In late-life men, strong risk factors for clinical fracture and hip fracture include fall history, BMD, and recent fracture. Osteoporosis drug treatment decisions may be further enhanced by consideration of fracture risk versus overall life expectancy.

Lower Leg Power and Grip Strength Are Associated With Increased Fall Injury Risk in Older Men: The Osteoporotic Fractures in Men Study.

BACKGROUND: Past research has not investigated both lower-extremity power and upper-extremity strength in the same fall injury study, particularly nonfracture fall injuries. METHODS: In the Osteoporotic Fractures in Men Study (baseline: N = 5 994; age 73.7 ± 5.9 years; 10.2% non-White), fall injuries (yes/no) were assessed prospectively with questionnaires approximately every 3 years over 9 years. Maximum leg power (Watts) from Nottingham single leg press and maximum grip strength (kg) from handheld dynamometry were assessed at baseline and standardized to kg body weight. Physical performance included gait speed (6-m usual; narrow walk) and chair stands speed. RESULTS: Of men with ≥1/4 follow-ups (N = 5 178; age 73.4 ± 5.7 years), 40.4% (N = 2 090) had ≥1 fall injury. In fully adjusted repeated-measures logistic regressions, lower power/kg and grip strength/kg had higher fall injury risk (trend across quartiles: both p < .0001), with lower quartiles at significantly increased risk versus highest Q4 except for grip strength Q3 versus Q4. Fall injury risk was 19% higher per 1 standard deviation (SD) lower power/kg (95% confidence interval [CI]: 1.12-1.26) and 16% higher per SD lower grip strength/kg (95% CI: 1.10-1.23). In models including both leg power/kg and grip strength/kg, odds ratios (ORs) were similar and independent of each other and physical performance (leg power/kg OR per SD = 1.13, 95% CI: 1.06-1.20; grip strength/kg OR per SD = 1.11, 95% CI: 1.05-1.17). CONCLUSIONS: Lower leg power/kg and grip strength/kg predicted future fall injury risk in older men independent of physical performance. Leg power potentially identifies fall injury risk better than grip strength at higher muscle function, though grip strength may be more suitable in clinical/practice settings.

Hyperkyphosis and mortality risk in older men: The osteoporotic fractures in men study.

INTRODUCTION: Hyperkyphosis commonly affects older people but is not widely acknowledged as a clinically actionable problem, especially in men. There are several techniques to quantify kyphosis including the blocks and Cobb angle measurements. This study includes both kyphosis measures to investigate whether older men with accentuated kyphosis may be at increased mortality risk. METHODS: Men aged ≥65 years (N = 5994) were recruited to participate in the MrOS prospective cohort study from 2000 to 2002 (baseline). Our primary cohort included 2931 enrollees (mean age 79.3 years; SD 5.2) who underwent blocks-measured kyphosis from 2006 to 2009. Our secondary cohort included 2351 participants who underwent radiographic Cobb angle measurements at baseline. Cox proportional hazards analyses were used to determine association between kyphosis and all-cause mortality while adjusting for prevalent radiographic vertebral fractures, bone mineral density, incident fractures, gait speed, timed chair stands, self-reported health, alcohol use, medical co-morbidities, and physical activity. RESULTS: During a mean follow-up of 8.3 (SD 3.2) years, 1393 participants died in the primary cohort. In this group, compared to men with 0-1 block kyphosis, increasing blocks-measured kyphosis was associated with increased mortality (HR: 1.26-1.53, p trend <0.001). With addition of prevalent vertebral fracture to adjusted models, the association remained significant in participants with severe kyphosis (3+ blocks-measured). Similarly, with addition of chair stand performance the association remained significant for 4+ blocks kyphosis. Walking speed did not attenuate the association of kyphosis and mortality. In the secondary cohort, there were no significant associations between radiographic Cobb angle kyphosis and mortality. CONCLUSIONS: Increasing blocks-measured kyphosis was associated with a greater risk of mortality in older men, indicating that hyperkyphosis identified on physical exam should be considered a clinically significant finding that may warrant further evaluation and treatment.

Associations of 24-Hour Light Exposure and Activity Patterns and Risk of Cognitive Impairment and Decline in Older Men: The MrOS Sleep Study.

BACKGROUND: Older men with the worse alignment of activity and light may have lower levels of cognition and increased rates of cognitive decline. METHODS: This cohort consisted of 1 036 older men (81.1 ± 4.6 years) from the MrOS Sleep Study (2009-2012). Light and activity levels were gathered by wrist actigraphy. Phasor analysis was used to quantify the alignment of light-dark and rest-activity patterns (magnitude) and their temporal relationship (angle). Global cognitive function (Modified Mini-Mental State examination [3MS]) and executive function (Trails B test) were measured, then repeated 4.2 ± 0.8 years later. Linear regression models examined the associations of phasor magnitude and angle with cognition and cognitive decline. Models were adjusted for age, clinic, race, education, and season. RESULTS: Smaller phasor magnitude (worse aligned light and activity patterns) was associated with lower initial level and increased decline in executive function. Compared to those with higher phasor magnitude, those with lower magnitude took an average of 11.1 seconds longer to complete the Trails B test (quartile 1 vs quartile 4, p = .02). After follow-up, Trails B completion time increased an average of 5.5 seconds per standard deviation decrease in phasor magnitude (95% confidence interval [CI] 0.7-10.4, p = .03). There were no associations with phasor angle, and none with magnitude and global cognition (3MS). CONCLUSION: Among older men, worse alignment of light and activity patterns was associated with worse initial performance and increased decline in executive function, but not related to global cognition. Interventions that improve the alignment of light and activity may slow cognitive decline in older adults.

Relation Between Dietary Protein Intake and Gut Microbiome Composition in Community-Dwelling Older Men: Findings from the Osteoporotic Fractures in Men Study (MrOS).

BACKGROUND: Little is known about the association of specific nutrients, especially proteins, on age-related gut dysbiosis. OBJECTIVES: To determine the associations between the quantity and sources (vegetable and animal) of dietary protein intake and gut microbiome composition in community-dwelling older men. METHODS: We performed a cross-sectional analysis on 775 older men from the Osteoporotic Fractures in Men Study (MrOS) (age 84.2 ± 4.0 y) with available dietary information and stool samples at visit 4 (2014-2016). Protein intake was estimated from a brief FFQ and adjusted to total energy intake. The gut microbiome composition was determined by 16S (v4) sequencing (processed by DADA2 and SILVA). A total of 11,534 amplicon sequence variants (ASVs) were identified and assigned to 21 phyla with dominance of Firmicutes (45%) and Bacteroidetes (43%). We performed α-diversity, ß-diversity, and taxa abundance (by Analysis of Compositions of Microbiomes with Bias Correction [ANCOM-BC]) to determine the associations between protein intake and the gut microbiome. RESULTS: Median protein intake was 0.7 g/(kg body weight · d). Participants with higher energy-adjusted protein intakes had higher Shannon and Chao1 α-diversity indices (P < 0.05). For ß-diversity analysis, participants with higher protein intakes had a different center in weighted and unweighted UniFrac Principal Co-ordinates Analysis (PCoA) compared with those with lower intake (P < 0.05), adjusted for age, race, education, clinical center, batch number, fiber and energy intake, weight, height, and medications. Similarly, higher protein consumptions from either animal or vegetable sources were associated with higher gut microbiome diversity. Several genus-level ASVs, including Christensenellaceae, Veillonella, Haemophilus, and Klebsiella were more abundant in participants with higher protein intakes, whereas Clostridiales bacterium DTU089 and Desulfovibrio were more abundant in participants with lower protein intake (Bonferroni corrected P < 0.05). CONCLUSIONS: We observed significant associations between protein intake and gut microbiome diversity in community-living older men. Further studies are needed to elucidate the mediation role of the gut microbiome on the relation between protein intake and health outcomes in older adults.

Lower urinary tract symptom severity, urinary bother, and incident life-space mobility restriction among older men.

BACKGROUND: Life-space mobility represents the distance, frequency, and independence of mobility, ranging from one's bedroom to beyond their town. Older men with lower urinary tract symptoms (LUTS) may limit their life-space to stay close to a bathroom. However, it's unknown whether LUTS severity or urinary bother are associated with risk of life-space mobility restriction. METHODS: We analyzed data from 3025 community-dwelling men age ≥71 years without life-space mobility restriction at analytic baseline (Year 7) of the Osteoporotic Fractures in Men (MrOS) study. The American Urologic Association Symptom Index (AUASI) was assessed at baseline and includes one question assessing urinary bother ("If you were to spend the rest of your life with your urinary condition just the way it is now, how would you feel about that?"; score 0-1,2,3,4-6) and seven items to classify LUTS severity as none/mild (score 0-7), moderate (8-19), or severe (20-35). The University of Alabama Life-space Assessment was used to define life-space mobility restriction (≤60) at baseline and follow-up (Year 9). We used log-binomial regression with robust variance estimators to model adjusted risk ratios (ARR) for LUTS severity and urinary bother with incident life-space mobility restriction, controlling for age, site, health-related factors, and comorbidities. We then mutually adjusted for urinary bother and LUTS severity. RESULTS: Overall, the 2-year risk of life-space mobility restrictions was 9.9%. Compared to men without urinary bother (scores 0-1), the risk of life-space mobility restriction was significantly higher among men with bother scores of 4-6 (ARR = 2.20, 95% CI: 1.52, 3.19), independent of LUTS severity and confounders. Conversely, LUTS severity was not independently associated with the risk of life-space mobility restriction. CONCLUSIONS: Urinary bother, but not LUTS severity, is independently associated with incident life-space mobility restriction among older men. To maintain life-space mobility in older men with LUTS, future studies should identify shared mechanisms and interventions that minimize urinary bother.

In generally healthy adults, supplemental vitamin D3 did not reduce fractures vs. placebo at 5 y.

SOURCE CITATION: LeBoff MS, Chou SH, Ratliff KA, et al. Supplemental vitamin D and incident fractures in midlife and older adults. N Engl J Med. 2022;387:299-309. 35939577.