Journal of the American Medical Directors Association

Background Older adults' walking has so far been evaluated using standardised assessments of walking capacity within a clinical setting. By taking the evaluation out of the laboratory into the real world, this study provides first evidence of the ability of Digital Mobility Outcomes (DMOs) to detect changes over time and the Minimal Important Difference (MID) in patients after proximal femoral fracture (PFF). This will guide the implementation of DMOs in research and clinical care. Methods For this multicenter prospective cohort study, 381 community-dwelling older adults were included within one year after sustaining a PFF and assessed at two time points, separated by six months. Walking activity and gait DMOs were measured using a single wearable device worn on the lower back for up to seven days. A global impression of change question and three mobility-related outcome measures (Late-Life Function and Disability Instrument; Short Physical Performance Battery; 4m gait speed) were used as anchor variables. To assess each DMOs ability to detect changes, we calculated the standardized mean change as effect size. For estimating MIDs, both distribution-based and anchor-based methods were applied, followed by triangulation by experts if at least three anchor-based estimates were available per DMO, resulting in single-point estimates. Results All three anchor variables demonstrated substantial changes. Overall, 10 out of 24 available DMOs showed large and 7 DMOs moderate positive effects in the expected direction of the respective anchors. Seven DMOs showed no or only small effects. For 12 DMOs, at least three anchor-based estimates were available, enabling MID triangulation. MIDs for walking activity DMOs per day were: a walking duration of 10 minutes, a step count of 1,000 steps, 50 walking bouts (WB), and 15 WBs in WBs over 10 seconds. For gait DMOs, depending on the walking bout length, MIDs for walking speed were between 0.04 m/s and 0.08 m/s, and MIDs for cadence between 4 and 6 steps/minute. Almost all DMOs showed a strong ability to detect improvement in mobility, but rarely in detecting decline. Conclusions For the first time, MIDs are presented for real-world DMOs in PFF patients. These MIDs inform sample size requirements and interpretation of intervention effects for clinical trials, thereby providing guidance and reassurance for clinicians and regulatory bodies.

BackgroundVestibular complaints are common in older adults and are linked to imbalance and falls. Some older adults show impaired vestibular perception despite preserved peripheral-reflex ("vestibular agnosia"). Yet it remains unclear if vestibular agnosia is independently linked to imbalance and falls in otherwise healthy older adults. We therefore investigated the prevalence of vestibular agnosia in community-dwelling older adults, and examined its association to balance and prospective falls. MethodsVestibular perceptual thresholds were measured during yaw-plane rotational chair testing. Postural sway and instrumented Timed-Up-and-Go were assessed using wearable sensors, and falls were recorded prospectively over six-month. Vestibular agnosia was identified using K-means clustering. Multivariable regressions examined associations between perceptual thresholds and balance outcomes; logistic and negative binomial regressions evaluated associations with prospective falls. ResultsAmong 166 participants (75.4 years; 81.9% female), 18.7% were classified as having vestibular agnosia. These individuals had worse cognition and somatosensation. Elevated (i.e. worse) vestibular perceptual thresholds were independently associated with greater sway velocity when standing on foam with eyes-open (adjusted {beta}=0.002, p=0.03). Associations with other balance outcomes were attenuated after adjustment. Vestibular perceptual thresholds were not associated with prospective falls (odds of [≥]1 fall: adjusted OR=0.99, p=0.65; fall counts: adjusted IRR=1.02, p=0.35). ConclusionsApproximately one-fifth of healthy older adults exhibit vestibular agnosia. While elevated perceptual thresholds are independently associated with poorer balance, they did not predict falls. Vestibular perceptual testing provides complementary insight into age-related balance impairment, although its utility in fall-risk prediction requires further investigation. Key PointsO_LIApproximately one-fifth of healthy older adults had vestibular agnosia (impaired vestibular perception despite intact peripheral function) C_LIO_LIOlder adults with vestibular agnosia have poorer cognition, reduced lower limb somatosensation, and higher anxiety. C_LIO_LIHigher (i.e. worse) vestibular perceptual thresholds were independently associated with greater sway velocity when standing on foam (eyes open). C_LIO_LIHigher vestibular perceptual thresholds were only associated with slower TUG performance and greater eyes-closed foam sway in unadjusted models. C_LIO_LIVestibular perceptual thresholds did not predict prospective falls over 6 months. C_LI

INTRODUCTIONAgitation is a common and burdensome neuropsychiatric symptom in dementia that fluctuates from day to day, but objective tools for short-term risk stratification are limited. We examined whether nocturnal physiological signals from unobtrusive under-mattress sensors predict next-day daytime agitation and whether associations differ for agitation occurrence versus severity. METHODSWe extracted cardiorespiratory, movement, and sleep-proxy features from two long-term care cohorts (N=55; 333 nights) and one external home-monitoring cohort (N=18; 803 nights). A two-part mixed-effects framework was used to model next-day agitation episodes. RESULTSLower nocturnal respiratory rate and greater activity instability independently predicted higher odds of next-day agitation occurrence. Associations were stronger for motor than verbal agitation. Respiration-related predictors were validated externally. Conversely, no nocturnal features significantly predicted agitation severity. DISCUSSIONPassive sleep monitoring identified reproducible, physiologically interpretable markers of next-day agitation occurrence, supporting the potential of under-mattress sensing for short-term risk stratification and more proactive dementia care.

BackgroundHip fracture remains a leading cause of morbidity and mortality among older adults in the United States. The aim of this systematic and meta-analytical review is to synthesize available evidence on predictors of one-year mortality following hip fracture among older adults, guided by a socio-ecological framework. MethodsWe searched PubMed, Embase, Web of Science, CINAHL, and Scopus for U.S.-based studies published between 2010 and 2025 reporting one-year mortality after hip fracture. Studies were included if they evaluated predictors of mortality across pre-injury, perioperative, or post-discharge phases. Data were extracted on study design, population characteristics, mortality outcomes, and risk factors. Predictors examined in [≥]3 studies were pooled using random-effects meta-analysis, and narrative synthesis was conducted for predictors with limited data. Methodological quality was assessed using the Joanna Briggs Institute checklist. ResultsTwenty-eight studies (n = 835,226) met inclusion criteria. Pooled one-year mortality was 21.8%, ranging from 7.1% to 54.4%. Advancing age and male sex were consistent non-modifiable risk factors. Comorbidity burden, including congestive heart failure, chronic kidney disease, myocardial infarction, and dementia, and measures of frailty and functional impairment were among the strongest predictors, often doubling mortality odds. Perioperative factors such as higher injury severity and delayed surgery, and post-discharge factors including hospital readmission, missed follow-up visits, and postoperative complications, were also associated with increased mortality. ConclusionOne-year hip fracture-related mortality remains high and stems from multifactorial causes. A multi-level, systems-oriented approach may be necessary to meaningfully reduce long-term mortality in this growing and vulnerable population.

AimThis research aims to evaluate the effectiveness, cultural appropriateness, and feasibility of the Cook Islands palliative care model te vaerua k[o]p[u] tangata ora within palliative care practice. BackgroundAccess to palliative and end of life care is a recognised human right, yet significant disparities persist for Pacific peoples in Aotearoa, New Zealand. While the understanding of different cultural perspectives has grown, in Aotearoa, there remain gaps in the delivery of culturally appropriate palliative care. MethodologyThis study will use a Cook Islands T[i]vaevae research methodology to guide semi-structured interviews with 25-35 Cook Islands community members and 10 palliative care clinicians. This approach will support a rich, relational, and culturally grounded exploration of how a Cook Islands M[a]ori palliative care model can be integrated into clinical practice. DiscussionRecommendations to improve culturally responsive palliative care will be formulated in collaboration with community members and clinicians. The study will contribute to the limited body of knowledge on Pacific cultural understandings of palliative care and provide practical insights into applying an indigenous Pacific model within the palliative care system.

Structured AbstractO_ST_ABSBACKGROUNDC_ST_ABSPatient reports are the standard when examining subjective cognitive decline (SCD). Recent research suggests that informant and clinician reports may also be associated with cognition. This study examined differences between patient, informant, and clinician definitions of SCD and their relationship to cognition. METHODSData from 4290 older adults (n=1690 normal controls, NC; n=840 mild cognitive impairment, MCI; n=1760 Alzheimers disease, AD) were examined from the National Alzheimers Coordinating Center. Linear models examined the relationships between SCD status using the three definitions and cognition at baseline and over time. RESULTSIn NC, informant and clinician SCD were associated with worse cognition at baseline, with patient and clinician SCD associated with worse cognition over time. All definitions were associated with worse cognition at baseline and over time in MCI and AD. DISCUSSIONOur findings suggest the importance of examining different SCD definitions, especially the inclusion of clinician SCD.

Gait variability is a critical functional indicator of dynamic balance and neurocognitive decline in health. Its translation into clinical practice is, however, challenged by a lack of age-related normative trajectories and reference values under real-world ecological settings. Furthermore, the conventional metrics used to estimate gait variability (Coefficient of Variation, CV; Standard Deviation, SD) have a fundamental methodological flaw: the inherent sensitivity of conventional metrics to the statistical outliers and environmental noise in real-world walking. In this study, we mitigate this factor by applying a robust statistical framework to quantify gait variability. Analysing a large-scale cohort of community-dwelling older adults (n=2,193), we first demonstrate that free-living gait data follows a heavy-tailed distribution, necessitating the use of robust estimators like the Robust Coefficient of Variation (RCV-MAD) and Median Absolute Deviation (MAD). Leveraging these metrics, we established the normative trajectory and reference values of real-world gait variability across the ageing lifespan, revealing a distinct, age-dependent increase in spatio-temporal fluctuations, indicating a decline in rhythmicity and steadiness with age. We further demonstrated the clinical utility of these robust metrics: RCV-MAD consistently yielded larger effect sizes than conventional CV in discriminating between fallers and non-fallers across all gait parameters. Furthermore, we illustrate the potential of long-term unsupervised monitoring to capture intrinsic variability during real-world walking. Validated for consistency and reliability, this robust framework provides the necessary ecological validity to transform gait variability into a standardised, rapid clinical metric for assessing functional decline at an early timepoint.

The global nursing workforce is aging, yet limited research has explored the lived experiences of never married nurses entering midlife and later adulthood. Existing studies have primarily focused on burnout and retention, with less attention to the social and existential dimensions of aging without a spouse or children. This study aimed to explore the experiences of never married clinical nurses aged 40 years and older, focusing on perceptions of aging, professional identity, social support, and future security. A qualitative descriptive design was employed. Twenty-five never married nurses aged 44-62 years were recruited through purposive sampling from intensive care, emergency, medical, surgical, oncology, outpatient, and community departments across four government hospitals. Semi-structured interviews were conducted and analyzed using reflexive thematic analysis. Trustworthiness was ensured through member checking, peer debriefing, and maintenance of an audit trail. Four themes were identified: Nursing as a Life Anchor, where professional identity provided meaning and structure; Independence Coexisting with Loneliness, reflecting autonomy alongside episodic loneliness; The Invisible but Available Workforce, describing expectations of greater work availability due to single status; and Anticipating an Uncertain Future, capturing concerns about retirement, declining health, and limited advocacy in later life. Never married aging nurses experience a complex balance of professional fulfillment, autonomy, vulnerability, and uncertainty. Healthcare organizations should recognize this subgroup and consider equitable workload policies, tailored retirement planning, and psychosocial support to promote well-being and workforce sustainability.

BackgroundIntrinsic capacity (IC) is a key marker of healthy ageing, which captures an individuals physical and mental capacities, measured across five domains: cognitive, locomotor, psychological, vitality, and sensory. Although genetic factors are known to influence both general IC and its individual domains, existing IC indices have been developed primarily using phenotypic data, without accounting for the underlying biological architecture across domains. In this study, we developed a multi-trait polygenic score (Mt-PGS) model for IC by integrating polygenic scores derived from a broad set of phenotypes spanning the five IC domains and examined its validity. MethodsUsing data from 13,085 participants of the Canadian Longitudinal Study on Aging (CLSA), we computed PGSs for 63 phenotypes related to IC domains. A supervised machine-learning model was applied to develop a mt-PGS model for IC and identify the optimal set of polygenic predictors. The validity of the mt-PGS IC score was evaluated by comparing it with a phenotype-based IC score and by examining its association with mortality. ResultsOur analysis identified PGSs for 33 phenotypes with non-zero coefficients, jointly explaining 2.23% of the variance in IC. Several of the strongest contributors were most closely aligned with vitality-related phenotypes in the literature (including body mass index, grip strength, fat-free mass, diastolic blood pressure, and chronic obstructive pulmonary disease), acknowledging cross-domain relevance, and that predictors from all five IC domains were represented. The mt-PGS IC score was consistent with the phenotype-based IC score, positively correlated with the phenotype-based IC score and was inversely associated with mortality (OR = 0.04; 95% CI: 0.005 - 0.379). ConclusionOur findings support the multisystem biological basis of IC, demonstrating that an mt-PGS model integrating diverse phenotypes is associated with the phenotype-based IC score. PGSs for the phenotypes frequently related to vitality in the literature were the strongest predictors, recognizing that several of these phenotypes may span multiple domains, and that all domains contributed to the model. If replicated across different ancestries and settings, these findings may serve as a foundation for future research for the potential integration of genetic information into IC frameworks.

BACKGROUNDFall injuries in older adults are devastating and often caused by impaired reactive balance to unexpected trips and slips, which conventional exercise programs do not target. This study examined whether a low-dose perturbation balance training (PBT) program among older adults can improve balance recovery following trips and slips and reduce falls and fall injuries. METHODS111 older adults (65+ years) were randomised into an intervention or control group. The intervention group undertook one weekly PBT session for three weeks on the Trip and Slip Walkway, followed by three-monthly PBT booster sessions over one year, for a total of six sessions. The control group received an educational booklet. Blinded staff assessed laboratory-falls induced by a trip and slip with a safety harness at baseline and one year. Number of falls and fall injuries in daily life were collected weekly for one year. RESULTSCompared to the control group, the intervention group experienced a 26% reduction in laboratory falls at 12 months (RR = 0.74; 95% CI: 0.54, 0.99; P = .040) but not different in number of falls, trip-and slip-encounters in daily life. However, fall-related injuries were reduced by 57% (rate ratio = 0.43; 95% CI: 0.19, 0.94, P = .024) over one year. A reduction in falls occurred within the first three months, with greater benefit among participants who completed at least three training sessions. CONCLUSIONSA low-dose PBT program can improve reactive balance over 12 months and reduced injurious falls by 57%, with benefits likely due to enhanced reactive balance rather than proactive gait strategies. Older adults may require at least three sessions to achieve meaningful fall reduction, with periodic booster sessions to sustain benefits. Incorporating PBT into exercise programs may enhance their efficacy in preventing falls and fall injuries in daily life. Key PointsA low-dose perturbation-based training program (six sessions over 12 months) improved reactive balance at 12 months and reduced injurious falls by 57%. Benefits are likely due to task-specific improvements in reactive balance against trips and slips rather than proactive gait strategies or other risk factors. Incorporating PBT into exercise programs may improve their efficacy in preventing falls and fall injuries in daily life. Why does this paper matter?Falls are the leading cause of injury-related hospitalization and loss of independence in older adults. By targeting reactive balance--an ability neglected by conventional exercise programs--it offers a novel, evidence-based approach to enhance fall prevention and reduce injuries.

IntroductionThis clinical trial investigates the efficacy and safety of a personalized 15-day accelerated intermittent theta-burst stimulation (aiTBS) protocol, targeted at either the default mode network (DMN) or the fronto-parietal network (FPN), in individuals with mild Alzheimers disease (AD). Methods45 patients with mild AD were randomized 1:1:1 to receive 15 consecutive days of high-dose aiTBS (7200 pulses/day) targeting the DMN or FPN, or sham. The primary outcome was the change in ADAS-Cog after 15 days of treatment. ResultsBoth active aiTBS groups demonstrated significantly greater ADAS-Cog improvement than sham at the primary endpoint. Response rates for a clinically meaningful improvement ([≥]3-points on ADAS-Cog) were significantly higher in the active groups (DMN: 38%; FPN: 47%) than in the sham group (0%). The improvement in active groups was sustained at 3-month follow-up. DiscussionPersonalized aiTBS targeting the DMN or FPN produced clinically meaningful cognitive benefits in mild AD and was safe.

BackgroundReactive balance training using repeated perturbations may reduce falls, however, training methods are not easily replicated or translatable to clinical settings. This study aimed to examine the effects of a novel reactive balance training program on balance recovery from laboratory induced trips and slips and fall risk factors in older people using simple and low-cost equipment. MethodsWe conducted a randomised controlled trial involving 88 older people. An intervention group (n = 43) received the ReacStep program which involved tether-release reactive stepping and intentional slips once a week for 6 weeks. Both the intervention and control (n = 45) groups received home-based strength training for 8 weeks. Blinded staff assessed reactive balance (laboratory induced falls), physical functions at baseline (week 1) and post intervention (week 8). Weekly SMS surveys ascertained falls in daily life over 12 months. ResultsBoth groups were comparable in demographics, with a mean age of 72 years (SD = 5.6). Adherence to ReacStep sessions was high (90%). There were no significant differences between groups in laboratory-assessed reactive balance falls at post-test or daily-life falls over one year (P =.19). However, at post-test, the intervention group demonstrated significant improvements in usual gait speed, maximum step length, and choice stepping reaction time compared to controls (P <.05). ConclusionsThe ReacStep program demonstrated excellent adherence, was well tolerated, and improved gait parameters required for balance recovery following postural perturbations in older people. Nevertheless, it appears this program is not sufficient to improve reactive balance against unexpected trips and slips. Key pointsO_LIThe ReacStep program is acceptable, demonstrates excellent adherence and improves gait measures in older people, potentially reducing fall risk. C_LIO_LIThe generalisability against unexpected trips, and slips, and falls in daily life may be limited. C_LIO_LIFuture research should explore more ecological perturbations while maintaining its accessibility and acceptability. C_LI

INTRODUCTIONDementia reflects vascular and neurodegenerative processes in late life, yet studies often examine risks and outcomes individually. This study tested whether the cumulative burden of risks relates to structural brain pathology and cognition, and whether brain markers mediate these associations. METHODSCross-sectional data were drawn from 38,414 older adults in the National Alzheimers Coordinating Center database. A composite score summed ten binary risk factors: hypertension, diabetes, hypercholesterolemia, alcohol misuse, smoking, depression, obesity, hearing loss, vision loss, and low education. Outcomes included white matter hyperintensities (WMH), infarcts, hippocampal atrophy, global cognition, cognitive status, delayed recall, and semantic fluency. RESULTSHigher burden was associated with poorer global cognition, greater clinical severity, worse memory and fluency, and higher odds of WMHs, infarcts, and hippocampal atrophy. Structural equation models identified hippocampal atrophy as the primary mediator, with smaller effects for WMHs and infarcts. DISCUSSIONFindings support multidomain prevention strategies targeting clustered modifiable risks.

Chronic pain has been identified as a risk factor for cognitive decline in later life. However, most studies measure pain at a single time point and none have investigated whether variations in pain severity are associated with changes in cognitive function over time. This project aimed to assess the relationship between individual-level change in pain severity and decline in cognitive function over time. We used data from the English Longitudinal Study of Ageing (ELSA), a cohort of nationally representative middle aged and older adults. Pain severity was measured at each wave using a 4-point scale (none, mild, moderate and severe) and cognitive function was assessed using 3 objective tests. We applied latent growth curve modelling, a method for longitudinal analysis, to 19,376 ELSA participants data collected over 11 waves, spanning more than 20 years, to examine the relationship between initial level and change of both pain and cognitive function. Adjusting for age and sex, worsening chronic pain severity was associated with accelerated decline in a general measure of cognitive function ({beta} = -0.053, p = 0.039). However, when additionally adjusting for ethnicity, socioeconomic status and comorbid chronic conditions, this association was attenuated to non-significance ({beta} = -0.025, p = 0.365). Greater initial pain severity was associated with steeper decline in cognitive function even in the fully adjusted model ({beta} = -0.104, p < 0.001). Our study suggests that baseline level of pain severity but not worsening pain severity is associated with steeper decline in cognitive function over time. SUMMARYAge- and sex-adjusted analyses find that higher baseline and worsening pain severity predict faster cognitive decline; only baseline pain remains significant after full adjustment.

ObjectiveDemographic corrections (e.g., sex, education, race, ethnicity) are often applied when assessing cognition in adults; however, these corrections have significant limitations (e.g., using years of education does not capture the quality of, or access to, education). It is therefore critical to develop novel assessment options that are less susceptible to demographic factors. This study compared demographic effects on a verbal memory test and a performance-based test of cognition and daily functioning in older adults. Based on prior work, we hypothesized the performance-based tests would be less susceptible to demographic factors than paired associates learning. MethodData from 1326 participants (mean{+/-}SD age=61.9{+/-}10.9 yrs; Female = 1066, 80%) were collected through the MindCrowd electronic cohort, with 79 (6%) non-White, 109 (8.2%) identifying as Hispanic/Latino ethnicity, and 327 (25%) reporting education as less than a college degree. Paired associates learning is a well-established measure of medial temporal lobe-dependent learning and memory through recall of word-pairs, scored as the number of correct word pairs entered out of 36 possible. The performance-based test involved functional upper-extremity movement, specifically transporting beans to target cups in a repeating sequence (a task also shown to be dependent on the medial temporal lobe), scored as the intraindividual variability (standard deviation) in trial time across four consecutive trials. ResultsAs hypothesized, linear regression analysis showed that PAL was significantly affected by sex, education, race (particularly Black/African American), and ethnicity, whereas the performance-based test was affected only by sex and with a much smaller effect size than that of PAL. ConclusionsPerformance-based assessments may be an equitable approach to evaluating cognition without requiring score corrections, particularly for diverse populations.

Adaptation to physiological stress is fundamental to health but varies widely among individuals. In humans, this heterogeneity is evident in markedly different gains in fitness in response to identical exercise training. The molecular determinants of this variable "trainability" remain poorly understood. Here we identify insulin-like growth factor binding protein-7 (IGFBP7), a senescence-associated secreted protein, as a circulating constraint on exercise adaptation. Plasma proteomics in older adults enrolled in a randomized exercise trial revealed that IGFBP7 levels inversely predicted fitness gains after one year of high-intensity interval training despite similar baseline fitness. In mice, genetic deletion of IGFBP7 markedly amplified training-induced gains in exercise capacity across distinct training protocols, whereas somatic overexpression abolished this advantage. In the UK Biobank, lower IGFBP7 levels were associated with reduced mortality and multiple incident age-related diseases, mirroring the breadth of ties between fitness and healthspan. Together, these findings identify circulating IGFBP7 as a molecular brake on physiological plasticity in response to exercise, linking training responsiveness, aging biology, and health outcomes.

PuhrposeTo evaluate the short- and long-term cross-sectional associations between COVID-19 infection and multidimensional sleep health. MethodsData from the COVID-19 Outbreak Public Evaluation (COPE) initiative were used to examine the association between a novel multidimensional sleep health measure (COPE Multidimensional Sleep Health Scale, CMSHS) modeled from the RuSATED instrument and (1) COVID-19 infection and (2) post-acute sequelae of SARS-CoV-2 infection (PASC). ResultsData from 11,326 respondents were used for this study. The cohort was comprised of 51% women, 61% non-Hispanic White, and 17% Hispanic adults. COVID-19 infection was more prevalent among participants who had not received a booster vaccination (55.4% vs. 30.2%, p<0.001); the number of comorbid conditions was higher among those who had been infected (2.2% vs. 1.7%, p<0.001). Participants with COVID-19 infection had significantly lower CMSHS scores indicative of worse sleep health compared with uninfected participants (3.52 {+/-} 1.37 vs. 3.78 {+/-} 1.30; p < 0.001). Participants with PASC had lower CMSHS scores in comparison to those without PASC (2.72 {+/-} 1.30 vs. 3.82 {+/-} 1.28, p<0.001). In adjusted models, a progressive decline in CMSHS scores was observed over 12 months following infection (3.52 {+/-} 0.05 vs. 2.98 {+/-} 0.04; p < 0.001 for <1 month vs. 6-12 months). ConclusionCompared with uninfected individuals, multidimensional sleep health was worse among persons who had a COVID-19 infection. Individuals with PASC had greater and persistent reductions in sleep health for up to 12 months post-infection. Brief summaryO_LISeveral studies have examined the negative effects of COVID-19 on sleep, however the effects of COVID-19 infection on multidimensional sleep health remain poorly understood as do these associations over time. Using a large, population-based cohort, this study evaluates short- and long-term effects of Covid-19 infection on overall sleep health. C_LIO_LIThe study provides evidence that COVID-19 infection is associated with impairments in overall sleep health, with effects persisting up to 12 months post-infection. The findings in this study demonstrate that poor sleep health is an important long-term consequence of COVID-19 infection and emphasizes the need for sleep assessment among patients affected by COVID-19. C_LI

RationaleObstructive sleep apnea (OSA) is linked to cardiovascular, metabolic, and cognitive morbidity. Although COVID-19 has been associated with long-term respiratory and neurological sequelae, its role in precipitating new-onset OSA remains unclear. ObjectivesTo evaluate whether SARS-CoV-2 infection increases risk of developing OSA up to 4.5 years post-infection and how risk varies by hospitalization status, demographics, comorbidities, and vaccination status. MethodsThis retrospective cohort study used electronic health records from the Montefiore Health System in the Bronx. Adults tested for SARS-CoV-2 between March 1, 2020, and August 17, 2024, were classified as hospitalized COVID+, non-hospitalized COVID+, or COVID-. Patients with prior OSA or inadequate follow-up were excluded. Inverse probability weighting adjusted for demographic, clinical, socioeconomic, and vaccination covariates. New-onset OSA was assessed using weighted Cox proportional hazards models. Secondary outcomes including hypertension, myocardial infarction, heart failure, stroke, arrhythmia, pulmonary hypertension, type 2 diabetes, and obesity were evaluated with Poisson regression. Sensitivity analysis used a pre-pandemic control cohort. ResultsAmong 910,393 eligible patients, hospitalized [HR 1.41 (95% CI 1.14-1.73)] and non-hospitalized [HR 1.33 (95% CI 1.22-1.46)] COVID+ patients had higher adjusted risk of new-onset OSA versus COVID- controls. Similar findings were observed using historical controls (n=621046). After OSA onset, hospitalized COVID+ patients had higher risks of heart failure and pulmonary hypertension, while non-hospitalized COVID+ patients had higher risk of obesity vs COVID- patients. ConclusionsSARS-CoV-2 infection is independently associated with increased risk of new-onset OSA. These findings support targeted screening in post-COVID populations.

BackgroundAir pollution is a potentially modifiable risk factor for dementia with a population attributable risk fraction of 3%. Little is known about the causal mechanisms behind the association, so we aimed to investigate this. MethodsData from the UK Biobank were used to investigate the association between six measures of air pollution (NO2, NOx, PM2{middle dot}5-10, PM2{middle dot}5, PM2{middle dot}5 absorbance and PM10) and dementia incidence. Indirect pathways through four mediators (cardiovascular conditions, mental health treatment, insufficient exercise and social isolation) were explored. Logistic regression was used to model the associations between air pollution, mediators and dementia. Casual mediation analysis implemented using the g-formula was used to investigate the joint indirect effect through the mediators. FindingsExposure to the highest quintile of PM2{middle dot}5 (Rte:1{middle dot}14, 95% CI:1{middle dot}06-1{middle dot}23), NOx (Rte:1{middle dot}11, 95% CI:1{middle dot}03-1{middle dot}20) or NO2 (Rte:1{middle dot}08, 95% CI:0{middle dot}99-1{middle dot}16), compared to the lowest quintile, was associated with higher dementia risk. Most of the observed association resulted from the direct effect of air pollution, consisting of pathways not captured through considered mediators. Amongst those in the highest PM2{middle dot}5 quintile, jointly intervening on the four mediators would result in a 1% reduction in risk of dementia (Rpnie:1{middle dot}01, 95% CI: 1{middle dot}01-1{middle dot}02). The randomised pure natural indirect effect was similar for NO2 (Rpnie:1{middle dot}01, 95% CI: 1{middle dot}00-1{middle dot}01) and NOx (Rpnie:1{middle dot}01, 95% CI: 1{middle dot}01-1{middle dot}02). InterpretationMost of the association between dementia and PM2{middle dot}5, NO2 and NOx occurs through the direct effect of air pollution, or other unmeasured mediators, and not pathways through these four mediators. FundingMedical Research Council (Grant MR/W006774/1).

BackgroundSmoking, unhealthy nutrition, alcohol consumption, and physical inactivity (SNAP behaviours) are major risk factors for multimorbidity but are often studied in isolation. Using longitudinal data, Suhag et al. identified clusters of older adults (aged [&ge;]50) with common SNAP behaviour patterns and distinct sociodemographic profiles and multimorbidity prevalence; whether and how these patterns generalise across adulthood remains unclear. AimTo conceptually replicate Suhag et al. across a wider age range using an independent panel study. MethodsWe used data from Waves 7-13 of the UK Household Longitudinal Study, analysing adults (aged [&ge;]16) participating across all seven waves (n=18,008). Repeated-measures latent class analysis identified clusters of adults with common SNAP behaviours at Waves 7, 9, 11 and 13. Multinomial and binomial logistic regression examined how clusters were associated with sociodemographic characteristics and disease status (six disease groups plus multimorbidity), respectively. FindingsSeven clusters were identified: Overall Low-risk (20% of the sample), Insufficiently active (18%), Poor diet and Insufficiently active (23%), Hazardous and Harmful drinkers (11%), Hazardous drinkers, Insufficiently active and Poor diet (14%), Smokers and Drinkers (5%), and Smokers (9%). Behavioural profiles within clusters were largely stable over time. Associations between clusters and disease outcomes were counterintuitive. The cluster labelled Overall Low-risk on the basis of SNAP behaviours had the highest prevalence of multimorbidity, whereas the Hazardous drinkers, Insufficiently active and Poor diet cluster showed lower prevalence across most conditions. These clusters also differed in sociodemographic composition: the Overall Low-risk cluster comprised mainly older women with lower education and income, while the Hazardous drinkers, Insufficiently active and Poor diet cluster was more likely to comprise individuals in the highest education and income groups. ConclusionCluster-analytic techniques can be used to identify population subgroups with distinct behavioural and disease profiles, underscoring the need to consider risk behaviours in conjunction with sociodemographic context.