Experimental Gerontology

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.

The aim of this study was to investigate the effects of cognitive dual-tasking on low-frequency oscillations during quiet standing in older adults. Thirty-two older adults (age 71{+/-}8 yrs) were categorized into high- and low-risk fall groups. Both groups performed three trials each of the following tasks: 1) quiet standing with eyes open - on a force plate; 2) quiet standing with eyes open and verbal memory encoding task - on a force plate; and 3) quiet sitting with eyes open and verbal memory encoding task - not on a force plate. We found that: A) older adults at high fall risk exhibit greater postural sway when compared with older adults at low fall risk, B) most of the absolute and normalized wavelet power from 0-4 Hz is concentrated within the 0-1 Hz frequency band across all directions, and C) the absolute change in wavelet power in the 0-1 Hz band from single to dual-task is associated with increased total COP sway displacement irrespective of fall risk group. Based on these findings, it is concluded that nonlinear postural sway measures provide valuable insights into age-associated changes in fall risk and dual-task performance. Focusing on low-frequency oscillations, particularly in the 0-1 Hz band, could enable the earlier identification of individuals at high risk of falls and a better understanding of how the dual-tasking paradigm challenges the aging population.

We examined whether a 24-week resistance training program influenced brain amyloid-{beta} (A{beta}) and Alzheimers Disease (AD)-related blood-based biomarkers. Ninety cognitively normal, physically inactive older adults aged 65-80 years were randomly allocated to a 24-week resistance training program (three [~]60-min supervised sessions/week) or a wait-list control group. Primary analyses assessed exercise-induced changes in brain A{beta} (Centiloid values) and plasma ptau217/A{beta}1-42 IPMS ratio. Secondary analyses examined ptau217/A{beta}42 SIMOA ratio, ptau217, ptau181 and A{beta}42/40, as well as potential interactions with sex, age, education, apolipoprotein {varepsilon}4 (APOE4) status, amyloid PET-positivity, and comorbidities. The intervention produced no significant differences on brain A{beta} or AD-related blood-based biomarkers (p>0.05) compared to the control group. However, the ptau217/A{beta}1-42 IPMS ratio showed a small, non-significant increase in the control group (SMD = 0.162; 95% CI: -0.159 to 0.483) while remaining stable in the exercise group (SMD = 0.01; 95% CI: -0.291 to 0.310) with a similar trend for ptau217/A{beta}42 SIMOA. Moderator analyses indicated differential responses by amyloid PET-positivity and APOE4 status on brain A{beta} (p for interaction<0.05), with increases observed in APOE4 carriers and amyloid PET-positive individuals in the control group, whereas those allocated to the exercise intervention reduced their levels. The specificity observed within our subgroups suggests that resistance exercise may serve as a targeted intervention to modulate AD pathophysiology, raising new questions regarding its broader role in the delay of the disease in vulnerable populations.

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.

Introduction: Frailty is a dynamic condition associated with increased vulnerability to adverse health outcomes in older adults. While previous research has primarily focused on deficit-based mental health factors, such as depression and loneliness, less is known about the role of positive mental health determinants, including well-being, resilience and social connectedness, in the development and progression of frailty. Understanding both risk and protective factors is essential for informing public health strategies aimed at promoting healthy ageing. This study aims to examine the longitudinal relationship between mental health and frailty in a nationally sampled population of adults aged 50 years and older in Slovenia. Methods and analysis: This longitudinal observational study will collect data at four time points over a two-year period (January 2026-March 2028). A stratified random sample of community-dwelling adults aged 50-84 years will be drawn from the national population registry, with 5,000 individuals invited to participate in the first wave. Frailty, mental health and a set of social, psychological, and health-related factors will be assessed. Data will be analyzed using a combination of descriptive, inferential and longitudinal statistical methods to examine associations between frailty and mental health over time. Potential explanatory factors will also be explored within the longitudinal framework, and additional analyses will assess the impact of attrition. Ethics and dissemination: The study has been approved by the Ethics and Deontology Committee of the National Institute of Public Health. Participation is voluntary, and informed consent will be obtained from all participants. Data will be anonymized and handled in accordance with applicable data protection regulations. Findings will be disseminated through peer-reviewed publications, conference presentations and public health reports to inform strategies for promoting healthy ageing.

Background: Sleep problems are common in older people and have been associated with increased fall risk, but the mechanisms underlying this relationship remain unclear. Gait quality reflects balance control and neurological function and may provide insight into pathways linking sleep health and falls. Methods: Data from 758 community-dwelling older people ([&ge;]65 years; mean age 75.8 years, 69.3% women) were analysed. Sleep problems were assessed at baseline using a self-reported item (Patient Health Questionnaire-9, question 3). Daily-life gait quality and habitual walking speed were derived from one week of wearable sensor monitoring. Falls and injurious falls were prospectively recorded over 12 months. Associations between sleep problems, gait quality, and fall incidence were examined using regression models adjusted for demographic, pain and cognitive factors, and use of sleeping medication. Results: Sleep problems were reported by 43.9% of participants. Sleep problems were not associated with habitual walking speed, but were associated with lower gait quality in daily life (adjusted {beta} = -0.15, 95% CI -0.27 to -0.03). Participants reporting sleep problems had higher incidence rates of total falls (adjusted IRR = 1.42, 95% CI 1.07 to 1.90) and injurious falls (adjusted IRR = 1.50, 95% CI 1.07 to 2.10). Conclusions: Self-reported sleep problems were associated with impaired real-world gait quality and substantially higher rates of falls and injurious falls in older people. These findings suggest that sleep problems may increase fall risk by altering balance control rather than by reducing walking speed. Sleep should be considered when managing fall risk, and fall risk should be considered in older people with sleep complaints.

Mesenchymal stem cells (MSCs) can differentiate into osteoblasts and adipocytes, play a critical role for maintaining bone homeostasis. Although, aging impairs MSC function and contributes to several complications, the effects of aging on subcellular structure and related gene expression need further investigation. Here we established an in vitro system to study MSCs isolated from bones of 5, 12, and 24 months old mice which showed significantly decreased bone volume and exercise performance with age. RNA sequencing revealed downregulation of genes related to cell-matrix interactions, cell metabolism, and division. Functionally MSCs extracted from 24mo showed significantly increased adipogenesis and reduced osteogenesis compared to 5mo, which was accompanied by reduced levels of cell proliferative marker Ki67 and increased expression of senescence protein p16. Data-driven segmentation of F-actin architecture revealed no cell-wide or nuclei-associated alteration, while 24mo MSCs showed decreased nuclear volume and increased spreading and higher nuclear stiffness compared to 5mo. Mitochondria from 12mo and 24mo showed increased length and volume of fibers when compared to 5mo, which was accompanied by gene expression changes associated with mitochondrial inflammation and oxidative phosphorylation. To test the functional consequences, MSCs were subjected to mechanical stress for 72 hours using 90Hz, 07g low-intensity vibration (LIV). While 5mo MSCs showed a robust fusing of individual mitochondrial fibers, LIV response of 12mo and 24mo MSCs were progressively less, indicating an already stressed mitochondria compromised to mechanical challenge. In summary, this study has established an in vitro assay system, revealing age-associated impairments in differentiation, mitochondrial function, and mechanotransduction capacity.

The dynamic physiological and hormonal changes through the menopause transition predispose women to an increased risk of multiple chronic diseases including cardiovascular disease, metabolic disease, depression and dementia. The underlying mechanisms remain unclear, yet it is thought that chronic systemic inflammation and changes to lifestyle behaviors across menopause play important roles. The LIfestyle risk Factors for chronic disease across the stagEs of reproductive ageing (LIFE study) is a cross-sectional study aimed to develop an understanding of how hormonal and lifestyle factor differences across pre, peri and postmenopause influence chronic systemic inflammation visceral adiposity, cognitive function and sleep health. A total of 165 women aged between 40-65 years have been recruited and classified into pre, peri or postmenopausal groups. Body composition measures and blood glucose samples were collected. Sleep and physical activity were objectively measured using activPAL4 and ActiGraph GT9X link accelerometer over 7 days. Participants were also provided with a sleep log diary. Physical function was assessed using the Short Physical Performance Battery. Cognitive function was evaluated using Addenbrookes Cognitive Examination-III and Cambridge Neuropsychological Test Automated Battery. Participants completed a series of questionnaires including the Depression, Anxiety, and Stress Scale-21, RuSATED, Berlin Questionnaire, Insomnia Severity Index, Activities-specific Balance Confidence Scale, and the Australian Eating Survey. The LIFE study aims to firstly determine how differences in lifestyle behaviors (physical activity, diet and sleep) across menopause influence chronic systemic inflammation and visceral adiposity. Secondly, to determine the association between chronic systemic inflammation, visceral adiposity, and cognitive function, elucidating the relationship between lifestyle behaviors and menopausal symptoms. Collectively this will provide an understanding and characterization of lifestyle behaviors and links to inflammatory markers, cognition, mental health and sleep health in pre, peri and postmenopausal women that will inform targeted strategies to improve long-term, wellbeing, heart, brain, and metabolic health.

BackgroundDespite cardiovascular disease being a leading cause of death globally, secondary prevention strategies following myocardial infarction are under-researched compared to primary prevention. ObjectivesTo explore relationships between indicators of sleep quality, inflammation, and myocardial infarction recurrence and the conditional role of psychological stress in these pathways to assess evidence for reducing MI recurrence by improving sleep quality and implementing stress management techniques. MethodsA secondary analysis (N = 156) of cross-sectional study data was conducted. Participants mean age was 65 years and all had experienced one or more myocardial infarctions within the previous 3-7 years. Sleep quality was measured using the Pittsburgh Sleep Quality Index. Inflammatory markers were collected via blood assay and included C-reactive protein, interleukin-6, and tumor necrosis factor-alpha. Psychological stress was evaluated using a self-reported Likert-scale question. Correlational analysis and conditional path analyses examined relationships between variables of interest. ResultsSignificant associations between sleep quality, inflammation, psychological stress, and MI recurrence were observed. Sleep quality predicted elevated inflammation markers. Psychological stress moderated the relationship between sleep quality and MI recurrence, with higher stress amplifying the risk. Sleep quality did not directly predict MI recurrence. ConclusionFindings suggest that improving sleep quality may be an effective secondary prevention strategy for reducing MI recurrence. The effect may be increased when combined with targeted stress management interventions. Further research is warranted to explore biobehavioral mechanisms underlying these associations to develop targeted interventions for aging individuals at risk.

Objectives: Cardiovascular disease (CVD) is a leading cause of mortality and disability in older populations. This study aimed to identify CVD risk factors in community-dwelling older adults and to examine whether frailty-related factors (sarcopenia and nutritional status) interact with chronic kidney disease (CKD). Methods: This cross-sectional study included 307 community-dwelling Japanese adults aged [&ge;]65 years between September 2024 and March 2025. CVD history was assessed based on self-reported physician diagnoses obtained through a structured questionnaire. Lifestyle-related factors included hypertension, diabetes, dyslipidemia, and body mass index (BMI). Frailty-related factors included sarcopenia (Asian Working Group for Sarcopenia 2019 criteria), nutritional status (Mini Nutritional Assessment-Short Form), and physical activity (International Physical Activity Questionnaire-Short Form). CKD was defined using the estimated glomerular filtration rate (eGFR): non-CKD ([&ge;]60 mL/min/1.73 m2) and CKD (<60 mL/min/1.73 m2). Multivariable logistic regression identified independent correlates of CVD, and interactions between CKD and frailty-related factors were tested. Results: The prevalence of CVD was 17.9%. Independent correlates included CKD (aOR 5.0), hypertension (aOR 4.0), male sex (aOR 3.1), undernutrition (aOR 2.7), sarcopenia (aOR 2.7), and low physical activity (aOR 2.5). No significant interactions were observed between CKD and sarcopenia (p = 0.70) or nutritional status (p = 0.40). Conclusions: CKD, sarcopenia, undernutrition, and low physical activity were independently associated with CVD, with no interaction between CKD and frailty factors. These findings suggest that integrated management addressing both renal function and frailty-related factors may be important for CVD prevention in older adults.

Abstract Background: Resilience is acknowledged to be an important component for successful aging in older adults, but there is scant evidence with which to inform public health interventions for this age group. The aim of this study is to determine whether the public health intervention, mindfulness for later life is both feasible and acceptable to older adults. Methods: Participants were recruited from September 2021 to June 2022 through older adult organisations and charities, such as the University of the Third Age, Age UK, and Age Concern, and by adverts distributed through village newsletters and support organisations. Participants were offered six weekly sessions of mindfulness therapy, the program was based on the mindfulness-based stress reduction program, each session was two hours long with 10-15 participants per program. The following two pre-defined indicators of success needed to be met for the program to be deemed feasible: successful uptake (recruitment of 30 participants over nine months) and initial engagement. Results: Thirty-three potential participants were screened for eligibility over nine months, 31 of whom were recruited to the study (103% of the target sample). Of these, 28 participants (90%) completed four or more online sessions. Thus, predefined indicators of feasibility were met. Conclusions: This study supports the feasibility of delivering the mindfulness for later life program as a public health intervention, including recruitment and treatment completion. A full-scale trial to assess the clinical- and cost-effectiveness of the intervention including its long-term effects is warranted.

BackgroundEarly recognition of dementia-related changes is critical for timely intervention. The AD8 Dementia Screening Interview (AD8) detects subtle cognitive and functional changes, yet its broader associations with health and wellbeing among Chinese-speaking older adults remain underexplored. MethodsA cross-sectional study was conducted with 144 community-dwelling Chinese older adults (mean age 73.1 years; 81.3% female). Participants completed sociodemographic, health, functional, and psychosocial measures, including the AD8 and the Geriatric Depression Scale (GDS-15). Exploratory Factor Analysis (EFA) assessed the dimensionality of the AD8, and binary logistic regression examined associations between AD8 items and demographic, health, functional, and psychosocial outcomes. ResultsChronic disease was prevalent (68.1 percent), and 13.2 percent reported a mental health disorder. EFA identified three domains: memory impairment, executive and interest decline, and functional recall difficulties, explaining 61.7 percent of the variance. Logistic regression showed predictive roles for judgment problems (AD8_1), repetition (AD8_3), financial difficulties (AD8_6), tool-use difficulties (AD8_4), and daily memory problems (AD8_8). Financial and executive difficulties were associated with age and mobility challenges, while repetition predicted psychological disorders and hopelessness. Judgment problems were linked to lower life satisfaction and happiness but greater helplessness. Worthlessness was predicted by financial, tool-use, and memory difficulties, whereas intact temporal recall (AD8_5) was protective. Several outcomes including boredom, low energy, and staying home were not significant. ConclusionDistinct AD8 items predicted vulnerabilities across physical, psychological, and social domains. Findings highlight the multidimensional value of the AD8 as a culturally relevant screening and risk stratification tool for community-based assessments of Chinese older adults. Summary Statement Implications for PracticeO_ST_ABSWhat does this research add to existing knowledge in gerontology?C_ST_ABSThis study shows that specific AD8 items identify early multidimensional vulnerability among community-dwelling Chinese-speaking older adults. Difficulties with judgment, repetition, financial management, tool use, and daily memory were associated with functional limitations and psychosocial distress, extending the AD8 beyond dementia screening alone. The identification of three AD8 domains supports a broader understanding of early cognitive change as involving cognitive, functional, and emotional processes. The findings contribute culturally specific evidence from an under-researched population in gerontological research. What are the implications of this new knowledge for nursing care with older people?For nursing practice, the AD8 provides a brief, feasible tool to support holistic assessment in community and aged care settings. Key AD8 indicators can guide nurses in identifying older people at risk of functional decline and emotional vulnerability, enabling earlier, person-centred interventions. The findings highlight the importance of culturally and linguistically appropriate assessment when caring for diverse ageing populations. How could the findings be used to influence policy or practice or research or education?The results support integrating brief cognitive screening into routine nursing assessments and community-based aged care services to promote early identification and ageing in place. Nursing education should emphasise interpreting cognitive screening within psychosocial and cultural contexts. Longitudinal research is needed to assess intervention effectiveness. Key Points[tpltrtarr] Early cognitive changes matter for older Chinese-speaking adults, because difficulties with judgment, repetition, financial management, and tool use (AD8 domains) were consistently linked to poorer functional and psychosocial outcomes. [tpltrtarr]Beyond dementia screening, the AD8 proved useful for detecting vulnerabilities in wellbeing and daily functioning, extending its role beyond diagnostic sensitivity. [tpltrtarr]A cultural focus is vital, as this study is among the first to examine AD8 associations in older Chinese-speaking adults, underscoring the need for culturally tailored screening. [tpltrtarr]The psychosocial impact of cognitive changes was evident, with strong associations to helplessness, worthlessness, and reduced life satisfaction, reinforcing the overlap between cognitive and emotional health. [tpltrtarr]In practice, integrating AD8 screening into community and primary care could help identify at-risk individuals early and support targeted interventions in culturally and linguistically diverse populations.

Background/Objective: Common measures of physical activity (PA) based on duration and intensity do not fully capture its complexity. Adding additional PA components of muscle strength, mechanical strain, and turning actions, can provide a more complete view of activity behavior. Furthermore, PA behaviors differ between men and women. Therefore, the goal of this study is to identify and cluster similar long-term PA patterns over time for each PA component, examined separately for men and women. Methods: We used data from 4963 participants (52% women; mean age 66 years, SD = 8.6) of the Longitudinal Aging Study Amsterdam (1992 to 2019). PA component scores were assigned to self-reported activities, and Sequence Analysis with Optimal Matching was used to identify and cluster similar activity patterns over a period of 10 years, separately for each component and stratified by sex. Results: PA components varied by sex and displayed a unique mix of trajectories, including predominately low, medium, or high activity, increasing or decreasing patterns, and trajectories characterized by early or late mortality. Importantly, trajectories remained independent, indicating that changes in one PA component were not linked to changes in others. Conclusion: Older men and women follow distinct and independent long term PA trajectories across components, underscoring that PA behaviour cannot be described by a single dimension. Significance/Implications: The observed independence and heterogeneity of trajectories suggest that muscle strength, mechanical strain, and turning actions capture meaningful and distinct aspects of PA that are not reflected by traditional measures alone. Future PA-strategies could incorporate these dimensions and acknowledge sex-specific patterns to better reflect natural movement. The independence of components suggests that future interventions should target multiple dimensions, as changes in one component may not translate to others. Such an approach may support more tailored and sustainable PA interventions in later life.

This study compared the effects of a 25-min nap opportunity and a 10-min non-sleep deep rest (NSDR) condition on perceptual, cognitive, and physical performance in physically active young adults. Sixty participants (26 female, 34 male; 22 {+/-} 4 years) were randomly assigned to one of three groups (nap, NSDR, control; n = 20 each). All groups completed identical assessments immediately, 20 min, and 40 min post-intervention. Mixed-effects models, adjusted for sex, prior-night sleep, and weekly physical activity, revealed a significant Group x Time interaction for sleepiness, fatigue, readiness to perform, and handgrip strength (p < 0.05). At 40 min post-intervention, the nap group reported lower fatigue than control and higher readiness to perform than both control and NSDR (p < 0.05). No significant effects were observed for the NSDR condition on perceptual, cognitive, or physical outcomes (p > 0.05). These findings indicate that a short nap can enhance perceived readiness and reduce fatigue after a brief latency period, whereas NSDR did not elicit significant effects under the present conditions.

BackgroundOlder adults exhibit hallmark changes in gait mechanics that may contribute to mobility loss. These changes are suggested to be precipitated by decreased mechanical output from the ankle plantar flexor muscles. However, the extent of age-related changes within individual triceps surae muscles and the consequences for plantar flexor specific torque (torque per unit muscle) and walking mechanics remains unclear. The study aims were to quantify age-related differences in triceps surae muscle cross-sectional area (CSA), fat fraction and peak absolute and specific plantar flexion torque, and to evaluate their relationships with positive hip and ankle work distribution during walking. MethodsEleven younger (36.2 +/-3.4 years, 5 female) and 12 older (73.3+/-2.8 years, 6 female) adults completed dynamometry, magnetic resonance fat-water imaging of the shank, and overground gait analysis at a prescribed (1.2 m/s) and fast walking speed. ResultsOlder adults had a smaller fat-free muscle CSA for the soleus and medial gastrocnemius, resulting in {bsim}25% smaller triceps surae CSA. There was no difference by age in fat fraction for any muscle. Peak plantar flexor torque was lower in older and proportional to the differences in cross-sectional area, thus specific torque did not differ by age. Older adults generated greater positive hip work at both speeds and less positive ankle work at the fast speed leading to a greater redistribution ratio compared to younger. However, no significant correlations were found between the redistribution ratio and triceps surae muscle morphology or plantar flexion absolute or specific torque in older adults. ConclusionsThese results suggest that triceps surae muscle morphology and function may not be a primary source of age-related changes in gait mechanics in healthy older adults.

Sarcopenia is a geriatric condition characterized by the loss of muscle strength, muscle mass, and physical performance, yet its neural mechanisms remain insufficiently understood. This study aimed to identify cortical indicators of motor and cognitive functioning in individuals with sarcopenia using functional near-infrared spectroscopy (fNIRS), along with electromyography (EMG) and hand dynamometer measurements. 30 sarcopenia patients (age 67.33 {+/-} 7.48, F/M: 22/8) and 38 healthy controls (age 65.37 {+/-} 4.18, F/M: 29/9) participated in three experimental sessions designed to probe different neural systems: a Hand Grip task to assess motor function, an N-Back task to evaluate working memory, and an Oddball task to measure attention and inhibitory control. fNIRS measurements were carried out during all experimental sessions, while EMG and force output were extracted from the Hand Grip task. Group differences and neural-behavioral relationships were examined using t-tests, correlations, and repeated measures analyses. Participants with sarcopenia demonstrated significantly reduced EMG activity and force production. Although motor cortex responses during the Hand Grip task were similar between groups, the N-Back task revealed lower activation in the precentral, middle frontal, and superior frontal regions in the sarcopenia group. In contrast, the Oddball task showed increased right-hemisphere activation in sarcopenic individuals, suggesting compensatory recruitment. Significant correlations between cortical activity, grip strength, and Chair Stand Test performance indicated shared neural pathways linking motor and cognitive function. These findings highlight altered neural processing in sarcopenia and emphasize the importance of integrating neuroimaging with clinical measures to advance early detection and targeted intervention strategies. HighlightsO_LIfNIRS assessed motor and cognitive cortical activity in sarcopenia. C_LIO_LISarcopenia showed lower EMG amplitude and grip force output. C_LIO_LINo group difference in motor cortex activation during hand grip. C_LIO_LIN-back revealed lower frontal and precentral activation in sarcopenia. C_LIO_LIOddball showed higher right-hemisphere activation in sarcopenia. C_LI

Abstract Background: Insufficient physical activity, excessive sedentary time, and suboptimal sleep are linked to premature mortality and chronic disease and may contribute to social inequalities in health, but most evidence is self-reported. Device-measured, nationally representative data capturing the full 24-hour movement spectrum remain scarce, particularly among older adults. This study examined social, economic, and environmental disparities in 24-hour movement behaviours in the 2021-23 English Longitudinal Study of Ageing (ELSA) accelerometry sub-study. Methods: A subset of 5,382 ELSA participants (71.9%) was invited to wear an Axivity AX3 wrist accelerometer for eight days, with 4,354 (80.9%) agreeing. Raw data were processed using machine learning to derive step count, sleep duration, moderate-to-vigorous and light physical activity, sedentary time, and time in bed. Cross-sectional associations with sex, age, education, marital status, wealth, and urbanicity were examined using linear regression. Findings: Data from 3,648 participants (mean age 68.5 {+/-} 9.3 years; 44.3% men) were included in wear time analyses (median 6.6 days, IQR 6.0-6.9), with 3,161 (86.7%) having sufficient wear time for movement behaviour analyses. Older, unmarried, or lower education/wealth participants were less active, more sedentary, and slept less. Rural participants were more active than urban participants. Women accumulated fewer steps and less moderate-to-vigorous physical activity and sedentary time, but more light activity and longer sleep than men. Interpretation: Social, economic, and environmental disparities exist across the full 24-hour movement spectrum, highlighting population groups for targeted interventions. Follow-up data will clarify how 24-hour movement behaviours influence healthy ageing and contribute to social inequalities in health.

BackgroundEmerging research indicates that light exposure may influence sleep quality. Identifying key light-exposure behaviours associated with poor sleep quality in athletes may allow practitioners to efficiently screen for sleep difficulties and prioritise athletes for further assessment. Translating these findings into a practical screening tool could enhance willingness of high-performance professionals to monitor sleep and light exposure in athletes. HypothesisKey predictor variables identified by feature reduction techniques will lead to higher predictive accuracy in determining which light behaviours are associated with poor sleep quality in athletes. Study DesignCross-sectional study. Level of EvidenceLevel 3. Methods121 athletes from varying competitive levels completed questionnaires, including the Light Exposure Behaviour Assessment (LEBA) and Pittsburgh Sleep Quality Index (PSQI). Poor sleep quality was defined using the PSQI cut-off >5. Least absolute shrinkage and selection operator (LASSO) regression identified light exposure variables from the LEBA questionnaire most strongly associated with good and poor sleep quality in athletes. Three models were compared: a full-variable model (23 items), a factor-specific model (Factor 3: screen/device use), and a feature-reduced model (LASSO-selected items). ResultsPhone use before bed, checking phone/watch during the night, were identified as variables of greatest association with poor sleep quality and used for reduced feature set modelling. On an independent test set, the feature-reduced model achieved area under the curve (AUC) 0.83, sensitivity 0.70, and specificity 0.92. ConclusionsOur findings report that phone-related behaviours before and in bed are associated with a higher likelihood of poor sleep quality. These behaviours, combined with the developed nomogram, provide a preliminary, low-burden screening tool to identify athletes who may be experiencing sleep difficulties. The high specificity indicates that athletes flagged by the tool are likely to have genuine poor sleep quality, warranting further assessment to identify underlying causes and appropriate interventions. Clinical RelevanceEducation and interventions focused on light exposure factors were identified as most influencing sleep quality in a multifaceted athletic population and could be prioritised to optimise sleep quality. The developed sleep quality nomogram may be useful as a decision-making tool to improve sleep monitoring practice among practitioners.

ObjectivesGrowth Mindset and Grit have been proposed as key psychological resources for resilience and adaptation, yet their manifestation and social distribution in later life remain underexplored. This study examines the structure, distribution, and correlates of Growth Mindset and Grit in older adulthood using proxy indicators in the English Longitudinal Study of Ageing (ELSA). MethodsProxy indicators reflecting learning behaviour, personality traits, affect, and beliefs were used to derive three components of Growth Mindset (education-, personality-, and belief-based) and two components of Grit (affective- and personality-based). Multinomial logistic regression models examined associations with age, socioeconomic position, health, and cognitive functioning. ResultsDistinct distributional patterns emerged across components. Education-based Growth Mindset was concentrated in lower categories, whereas personality-, belief-, and affect-based components showed greater variability. Older age was associated with lower Growth Mindset, particularly in education- and belief-based domains, while associations with Grit were more nuanced, including a lower likelihood of low affect-based Grit among older adults. Higher educational attainment, employment, wealth, and better memory performance were associated with more favourable profiles across selected domains. Living alone and limiting longstanding illness were consistently associated with less favourable profiles. ConclusionsGrowth Mindset and Grit appear to function as multidimensional and socially patterned psychological resources in later life. Belief-, personality-, and affect-based components capture meaningful variation even when formal learning declines, underscoring the importance of distinguishing opportunity-constrained indicators from dispositional domains in ageing research.

BackgroundEpigenetic clocks based on DNA methylation (DNAm) provide quantitative indicators of biological aging. However, the extent to which diverse lifestyle factors influence DNAm-based aging measures remains unclear, especially in Japanese populations. We aimed to evaluate the associations between 52 lifestyle-related factors and multiple epigenetic aging indicators, including six DNAm ages (Horvath, Hannum, PhenoAge, GrimAge, GrimAge v2, and PCPhenoAge specific to Japanese Population), the Dunedin PACE, and six corresponding age acceleration indices. We recruited 287 Japanese adults between January and December 2024 and evaluated the association of these aging indices with their responses on lifestyle questionnaires using multivariable linear regression models. We entered items either individually or simultaneously while adjusting for major confounding factors. ResultsDNAm ages showed strong intercorrelations, whereas age acceleration indices demonstrated weaker correlations. Several lifestyle factors such as late-night eating, processed food intake, smoking-related behaviors, high-intensity interval training, and thermal relaxation habits exhibited strong and clock-specific associations with aging indices. In simultaneous models incorporating all 52 factors, only a limited subset, with factors such as smoking exposure, high-intensity exercise, and sauna or stone spa use, were associated with aging indices. Each DNAm aging indicator demonstrated a distinct pattern of association with lifestyle exposure, indicating that epigenetic aging indices capture different physiological processes. ConclusionsThese findings may improve our understanding of lifestyle-epigenetic interactions and provide evidence supporting the use of DNAm-based biological age as a tool for personalized healthcare in Japan.