Life-space mobility and cognition in community-dwelling late-life women: A cross-sectional analysis.

BACKGROUND: Life-space mobility captures the daily, enacted mobility of older adults. We determined cross-sectional associations between life-space mobility and cognitive impairment (CI) among community-dwelling women in the 9th and 10th decades of life. METHODS: A total of 1375 (mean age 88 years; 88% White) community-dwelling women enrolled in a prospective cohort of older women. Life-space score was calculated with range 0 (daily restriction to one's bedroom) to 120 (daily trips leaving town without assistance) and categorized (0-20, 21-40, 41-60, 61-80, 81-120). The primary outcome was adjudicated CI defined as mild cognitive impairment or dementia; scores on a 6-test cognitive battery were secondary outcomes. RESULTS: Compared to women with life-space scores of 81-120 and after adjustment for demographics and depressive symptoms, the odds of CI was 1.4-fold (OR 1.36, 95% CI 0.91-2.03) higher for women with life-space scores of 61-80, twofold (OR 1.98, 95% CI 1.33-2.94) higher for women with life-space scores of 41-60, 2.6-fold (OR 2.62, 95% CI 1.71-4.01) higher for women with life-space scores of 21-40, and 2.7-fold (OR 2.71, 95% CI 1.27-5.79) higher for women with life-space scores of 0-20. The association of life-space scores with adjudicated CI was primarily due to higher odds of dementia; the odds of dementia versus normal cognition was eightfold (OR 8.63, 95% CI 3.20-23.26) higher among women with life-space scores of 0-20 compared to women with life-space scores of 81-120. Lower life-space scores were associated in a graded manner with lower mean scores on tests of delayed recall (California Verbal Learning Test-II delayed recall) and language and executive function (phonemic fluency, category fluency, and Trails B). Life-space score was not associated with scores on tests of attention and working memory (forward and backward digit span). CONCLUSIONS: Lower life-space mobility is associated in a graded manner with CI among community-dwelling White women in the 9th and 10th decades of life.

The Life-Space Mobility of Community-Dwelling Older Adults is Associated With Personality Traits.

Life-space mobility (LSM) in older adults is influenced by physical, cognitive, and psychological states. However, the relationship between LSM and personality traits remains unclear. Thus, our cross-sectional study investigated this correlation, which included 144 participants aged ≥60 years. LSM was assessed using the life-space assessment (LSA), and personality traits were evaluated using the Japanese version of the Ten-Item Personality Inventory (TIPI-J). Physical data were also collected. Univariate analyses revealed that among young-older adults, extroversion in the TIPI-J showed a significant association with LSA scores in addition to handgrip strength. Among old-older adults, openness to experience in the TIPI-J demonstrated a significant association with LSA scores in addition to quadriceps strength. This study revealed correlations between personality traits (extroversion and openness to experience) and LSM, in addition to physical function. Considering older adults' personality traits is crucial for designing support and interventions to maintain and expand LSM.

Perspectives on the COVID-19 pandemic and life-space mobility in older adults.

BACKGROUND: The COVID-19 pandemic significantly affected the physical health of older adults around the world, causing day-to-day disruptions in routines and changes to usual patterns of mobility. Despite the passing of 2 years since vaccinations, older adults continue to experience detriments, including social isolation and reduced mobility. This study aims to understand how views of the COVID-19 pandemic are associated with life-space mobility-moving about the community. We hypothesize that endorsing stronger perspectives about the persistence of COVID-19 is correlated with reduced life-space mobility. METHODS: Survey data were collected via online questionnaire in October and November of 2022. Linear regression models were used to examine the relationship between five perspectives on the COVID-19 pandemic (e.g., agreeing that "I wish people would take COVID-19 more seriously") and life-space mobility, measured using a modified version of the life space assessment, in older adults (n = 510). Analyses were adjusted for demographic factors and mental and physical health indicators, including depressive symptoms and number of chronic conditions. RESULTS: In fully adjusted models, the study found that endorsing a stronger lingering impact of the COVID-19 pandemic across any of the five perspectives was associated with significantly lower life-space mobility. CONCLUSIONS: The results of this study show that endorsing a stronger lingering impact of the COVID-19 pandemic is associated with reduced life-space mobility, which underscores the importance of designing public health strategies that carefully balance the safety concerns of older adults with opportunities for physical activity and social interaction.

Rehabilitation at Home With the Development of a Sustainable Model Placing the Person's Needs and Environment at Heart: Protocol for a Multimethod Project.

BACKGROUND: Each year, more than 1.5 million people in Europe have a stroke, and many experience disabilities leading to activity and participation restrictions. Home-based rehabilitation is the recommended approach for stroke rehabilitation, in line with the international shift to integrated care. Despite this, rehabilitation often focuses on the person's physical functions, not the whole life situation and opportunities to live an active life. Given that rehabilitation today is often provided in the person's home, there is a need to develop new models that consider the rehabilitation process as situated in the everyday living environment of persons with stroke. This project is grounded in experiences from our ongoing research, where we study the importance of the home environment for health and participation among persons with stroke, rehabilitated at home. This research has shown unmet needs, which lead to suboptimal rehabilitation outcomes. There is a need for studies on how to use environmental resources to optimize stroke rehabilitation in the home setting. OBJECTIVE: The overarching objective of the project is to develop a new practice model for rehabilitation where the needs of the person are the starting point and where the environment is considered. METHODS: The project will be conducted in partnership with persons with stroke, significant others, health care professionals, and care managers. Results from a literature review will form the base for interviews with the stakeholders, followed by co-designing workshops aiming to create a new practice model. Focus groups will be held to refine the outcome of the workshops to a practice model. RESULTS: This 4-year project commenced in January 2023 and will continue until December 2026. The results of the literature review are, as of April 2024, currently being analyzed. The ethics application for the interviews and co-design phase was approved in October 2023 and data collection is ongoing during spring 2024. We aim to develop a practice model with stakeholders and refine it together with care managers and decision makers. The outcome is a new practice model and implementation plan, which will be achieved in autumn 2026. CONCLUSIONS: The project contributes with a prominent missing puzzle to optimize the rehabilitation process by adding a strong focus on user engagement combined with integrating different aspects of the environment. The goal is to improve quality of life and increase reintegration in society for the large group of people living with the aftermath of a stroke. By co-designing with multiple stakeholders, we expect the model to be feasible and sustainable. The knowledge from the project will also contribute to an increased awareness of the importance of the physical environment for sustainable health care. The findings will lay the foundation for future upscaling initiatives. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/56996.

Life space assessment and falls in older adults with multiple sclerosis.

BACKGROUND/OBJECTIVE: Falls research in older adults with MS (OAMS) is scarce, and no studies have reported on the association between life-space mobility and falls in this group. Herein, we hypothesized that higher baseline life-space scores would be associated with reduced odds of reporting falls during follow-up, and explored whether the association differed by MS subtype (progressive vs. relapsing-remitting). METHODS: OAMS (n = 91, mean age = 64.7 ± 4.3ys, %female = 66.9,%progressive MS = 30.7) completed the University of Alabama at Birmingham Life-Space-Assessment (UAB-LSA) scale and reported falls during a structured monthly telephone interview during follow-up (mean = 16.39 ± 11.44 months). General Estimated Equations (GEE) models were utilized to determine whether UAB-LSA scores predicted falls during follow-up. RESULTS: GEE models revealed that higher UAB-LSA scores were associated with a significant reduction in the odds of falling during follow-up (OR = 0.69, p = 0.012, 95 %CI = 0.51 to 0.92). Stratified analyses revealed that this association was significant in progressive (OR = 0.57, p = 0.004, 95 %CI = 0.39 to 0.84), but not relapsing-remitting (OR = 0.93, p = 0.779, 95 %CI = 0.57 to 1.53) MS. CONCLUSION: Higher life-space mobility was associated with lower odds of falling among OAMS with progressive subtype. The UAB-LSA may complement existing mobility measures for predicting fall risk.

Restricted life-space mobility impacts physical but not mental quality of life in older cancer survivors.

BACKGROUND: Older cancer survivors often value quality of life (QOL) over survival. Life-space mobility (LSM), defined as the individual's spatial geographic mobility range, is an important QOL indicator in older adults with chronic illnesses; however, this relationship is unexplored in older cancer survivors. METHODS: We examined the longitudinal associations and causal relationships between LSM and QOL in 153 older cancer survivors (≥65 years) from the University of Alabama at Birmingham (UAB) Study of Aging. LSM was assessed using the UAB Life-Space Assessment-Composite score (LSA-C), and QOL was assessed by the SF-12 Mental Component Score (MCS12) and Physical Component Score (PCS12) at 0 (study entry), 6, 18, 36, 54, and 72 months. We examined the causal relationship between LSM and QOL using a cross-lagged panel model (CLPM). RESULTS: The cohort (n = 153) was 76 years old on average and predominantly White (58%), female (58%), and married (55%). Longitudinal analyses found LSM decreased over time (p < 0.0001), and this decrease was associated with decreased QOL (PCS12, p < 0.0001, MCS12, p < 0.0001). In the CLPM causal analysis, lower LSM resulted in worse PCS12 (p < 0.001), but not worse MSC12. CONCLUSIONS: Restricted LSM resulted in worse physical QOL over 72 months in a sample of 153 older cancer survivors. Developing and evaluating interventions to preserve greater LSM could be a promising approach to improving QOL.

Effects of interventions on life-space mobility for community-dwelling older adults: A systematic review and meta-analysis.

AIM: The present study aimed to conduct a meta-analysis to evaluate the methods and effects of interventions to increase life-space mobility among community-dwelling older adults. METHODS: Records were identified through nine databases. Eligible study designs for inclusion in the review were randomized controlled trials of interventions on life-space mobility for community-dwelling older adults. The risk of bias was assessed using the Risk of Bias 2 tool. We followed the Grading of Recommendations, Assessment, Development, and Evaluation approach to summarize the evidence. RESULTS: Four studies (558 participants) identified via search strategies were included. Two studies involved individualized exercise and lifestyle interventions. In three out of the four studies, individual interventions were applied. Overall, when compared with a control group, the intervention group was more likely to positively affect increasing life-space mobility (standardized mean difference 0.47, 95% confidence interval [0.020 to 0.92]). The heterogeneity statistic indicated considerable heterogeneity (I2 = 84%). The evidence was downgraded one step owing to imprecision. CONCLUSIONS: Interventions on increasing life-space mobility for community-dwelling older adults have a positive effect. Combination interventions may be more effective than single interventions, and individual interventions may be more effective than group interventions. However, owing to the limited number of studies, conducting further research to enhance the generalizability of results is crucial. Additionally, subgroup analysis should be conducted to clarify differences in intervention methods and effects. Geriatr Gerontol Int 2023; 23: 842-848.

Capturing Measures That Matter: The Potential Value of Digital Measures of Physical Behavior for Alzheimer's Disease Drug Development.

Alzheimer's disease (AD) is a devastating neurodegenerative disease and the primary cause of dementia worldwide. Despite the magnitude of AD's impact on patients, caregivers, and society, nearly all AD clinical trials fail. A potential contributor to this high rate of failure is that established clinical outcome assessments fail to capture subtle clinical changes, entail high burden for patients and their caregivers, and ineffectively address the aspects of health deemed important by patients and their caregivers. AD progression is associated with widespread changes in physical behavior that have impacts on the ability to function independently, which is a meaningful aspect of health for patients with AD and important for diagnosis. However, established assessments of functional independence remain underutilized in AD clinical trials and are limited by subjective biases and ceiling effects. Digital measures of real-world physical behavior assessed passively, continuously, and remotely using digital health technologies have the potential to address some of these limitations and to capture aspects of functional independence in patients with AD. In particular, measures of real-world gait, physical activity, and life-space mobility captured with wearable sensors may offer value. Additional research is needed to understand the validity, feasibility, and acceptability of these measures in AD clinical research.

Assessing the Predictive Power of Frailty and Life-Space Mobility on Patient-Reported Outcomes of Disability in Older Adults with Low Back Pain.

BACKGROUND: Frailty and decreased life-space mobility are known as risk factors to develop physical limitations leading to disability in older adults with low back pain (LBP). This cross sectional study aimed to investigate the prevalence and predictive power of frailty and life-space mobility on patient-reported outcomes of disability in older adults with LBP. METHODS: The sample comprised 165 older adults with LBP who visited two tertiary care hospitals between December 2021 and February 2022. The participants responded to structured standard questionnaires. Data were analyzed using descriptive statistics and robust logistic regression. RESULTS: More than two-thirds of participants were classified as non-frail (26.67%) or pre-frail (66.67%). Mobility restrictions and minimal to severe disability were identified. Controlling other variables, frailty (OR = 1.74, 95% CI: 1.14-2.64) and restricted life-space mobility (OR = 0.42, 95% CI: 0.26-0.67) were significantly associated with disability. Integrating frailty with life-space mobility evaluations demonstrated the highest predictive power for disability-related LBP (AUC = 0.89, 95% CI: 0.84-0.93). CONCLUSION: Frailty and restricted life-space mobility significantly predicted disability in older adults with LBP. Healthcare professionals should recognize the critical importance of integrating patient-reported outcomes with screening for frailty and life-space mobility limitation to optimize care or tract symptom progression.

Predictors of life-space mobility in patients with fracture 3 months after discharge from convalescent rehabilitation ward: a prospective longitudinal study.

[Purpose] To identify predictors of life-space mobility in patients with fracture three months after discharge from convalescent rehabilitation ward. [Participants and Methods] This is a prospective longitudinal study that included patients aged 65 or older with a fracture who were scheduled for discharge home from the convalescent rehabilitation ward. Baseline measurements included sociodemographic variables (age, gender, and disease), the Falls Efficacy Scale-International, maximum walking speed, the Timed Up & Go test, the Berg Balance Scale, the modified Elderly Mobility Scale, the Functional Independence Measure, the revised version of Hasegawa's Dementia Scale, and the Vitality Index up to two weeks before discharge. As a follow-up, the life-space assessment was measured three months after discharge. In the statistical analysis, multiple linear and logistic regression analyses were performed with the life-space assessment score and the life-space level of "places outside your town" as dependent variables. [Results] The Falls Efficacy Scale-International, the modified Elderly Mobility Scale, age, and gender were selected as predictors in the multiple linear regression analysis, whereas in the multiple logistic regression analysis, the Falls Efficacy Scale-International, age, and gender were selected as predictors. [Conclusion] Our study emphasized the importance of fall-related self-efficacy and motor function for life-space mobility. The findings of this study suggest that when considering post-discharge living, therapists should conduct an appropriate assessment and adequate planning.

Sex-stratified reference values for the life-space assessment in the Canadian longitudinal study on aging.

BACKGROUND: The Life-Space Assessment (LSA) can compliment traditional physical performance measures of mobility by accounting for the interaction between individuals and their environment. However, there are no studies that have generated percentile curves showing sex-stratified reference values in a large population-based sample of community-dwelling adults, making its interpretation difficult. Therefore, this study aimed to establish sex-stratified reference values for the LSA in middle-aged and older Canadians. METHODS: Baseline data for participants aged 45-84 years old from the Canadian Longitudinal Study on Aging (CLSA) were used (n = 22,154). Quantile regression was used to estimate specific percentiles, with age as the independent variable and LSA scores as the dependent variable. Models were run for the whole sample, then separately for males and females. The models were cross-validated to assess their reliability. CLSA inflation and analytic weights were applied. RESULTS: On average, the sample was 62.5 ± 10.0 y.o. (51.1% males), with a weighted mean LSA score of 89.2 ± 17.0. There was also a decrease in LSA scores with age, where scores were lower for older age groups compared to younger groups, and LSA scores were lower for females relative to males. DISCUSSION AND CONCLUSIONS: Reference data will aid in interpreting, comparing, and making inferences related to LSA scores obtained in clinical and research settings for Canadian adults.

Life-space mobility among home-living older adults with care needs and clinical depression-A cross-sectional analysis.

OBJECTIVES: While life-space mobility is key for wellbeing, social participation and access to health care, vulnerable older adults face physical and mental barriers that may restrict mobility. The present exploratory study examined associations between physical functional limitations, depressive symptoms, life-space mobility and outpatient health care utilization. METHODS: Cross-sectional data from 197 community-dwelling older adults with care needs and clinical depression was collected. Life-space assessment composite score (LS-C), instrumental activities of daily living scale (iADL), Geriatric Depression Scale (GDS-12) and outpatient health care utilization have been assessed. Multiple regression analyses were conducted. RESULTS: Mean LS-C score was 31.8 (SD = 17.7, range: 0-92), indicating low mobility levels. Depressive symptoms (ß = -0.21, p = 0.001) and iADL (ß = 0.54, p < 0.001) were significantly related with life-space mobility, over and above age and living alone. An interaction effect between depressive symptoms and iADL was not significant (ß = -0.07, 0.17, p = 0.26). Moreover, life-space mobility was positively associated with primary care (ß = 0.19, p = 0.02) and mental health care utilization (ß = 0.33, p < 0.001). CONCLUSIONS: Life-space mobility appears to be largely restricted in home-living vulnerable older adults with clinically significant depression; and factors associated with these restrictions appear to be physical and mental. The interplay of depression, mobility and health care utilization and its potential for interventional approaches need further investigations. Present findings underline an urgent need for new health care services that allow mobility-impaired older patients to receive mental health outpatient treatment in their own home. CLINICAL TRIAL REGISTRATION: The trial was prospectively registered with the ISRCTN registry (Trial registration number: ISRCTN55646265, registered February 15, 2019).

Change in four measures of physical function among older adults during lung cancer treatment: A mixed methods cohort study.

INTRODUCTION: Functional outcomes during non-small cell lung cancer (NSCLC) treatment are critically important to older adults. Yet, data on physical function and which measures best capture functional change remain limited. MATERIALS AND METHODS: This multisite, mixed methods cohort study recruited adults ≥65 years with advanced NSCLC starting systemic treatment (i.e., chemotherapy, immunotherapy, and/or targeted therapy) with non-curative intent. Participants underwent serial geriatric assessments prior to starting treatment and at one, two, four, and six months, which included the Karnofsky Performance Scale (KPS, range: 0-100%), instrumental activities of daily living (IADL, range: 0-14), European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Physical Functioning subscale (EORTC QLQ-C30 PF, range: 0-100), and Life-Space Assessment (LSA, range: 0-120). For all measures, higher scores represent better functioning. In a qualitative substudy, 20 patients completed semi-structured interviews prior to starting treatment and at two and six months to explore how treatment affected their daily functioning. We created joint displays for each interview participant that integrated their longitudinal KPS, IADL, EORTC QLQ-C30 PF, and LSA scores with patient quotes describing their function. RESULTS: Among 87 patients, median age was 73 years (range 65-96). Mean pretreatment KPS score was 79% (standard deviation [SD] 13), EORTC QLQ-C30 PF was 69 (SD 23), and LSA was 67 (SD 28); median IADL was 13 (interquartile range [IQR] 10-14). At two months after treatment initiation, 70% of patients experienced functional decline on at least one measure, with only 13% of these patients recovering at six months. At two and six months, decline in LSA was the most common (48% and 35%, respectively). Joint displays revealed heterogeneity in how well each quantitative measure of physical function captured the qualitative patient experience. DISCUSSION: Functional decline during NSCLC treatment is common among older adults. LSA is a useful measure to detect subtle functional decline that may be missed by other measures. Given heterogeneity in how well each quantitative measure captures changes in physical function, there is value to including more than one functional measure in geriatric oncology research studies.

Patterns of participation restriction among older adults at risk of falls and relationship with intrinsic capacity: A latent cluster analysis.

Introduction: The concept of participation restriction was first described by the World Health Organization in 2001 as a component of The International Classification of Functioning, Disability and Health Framework. Both falls and fear of falling (FOF) are associated with social isolation, depression, anxiety, poor quality of life and cognitive impairment resulting in participation restriction. Life-space mobility (LSM) is an important indicator for participation restriction which depends on multiple inter-related factors. We aimed to determine participation patterns using latent cluster analysis (LCA) in older adults at risk of falls, its relationship with intrinsic capacity (IC) and its risk prediction. Methods: Cross-sectional study of 154 community dwelling older adults ≥ 60 years with falls or risk of falls was conducted. Questionnaires were administered on demographics, hearing, LSM, frailty (FRAIL scale), anorexia of aging (SNAQ), cognition (Montreal Cognitive Assessment, MoCA), FOF (Falls Efficacy Scale-International), physical function, and assessment for handgrip strength (HGS), gait speed, 5-times sit to stand (STS), vision and times-up-and-go (TUG) were performed. Six IC domains (vision and hearing, cognition, nutrition, mobility and depression) were measured. Results: Three pattern of participation cluster were identified, high (n = 63, 40.9%), moderate (n = 83, 53.9%) and low (n = 8, 33 5.2%). Individuals in the high participation cluster were significantly younger, had higher LSM scores and lower FES-I scores, more robust, fewer ADL and IADL limitations, lower prevalence of low HGS, higher gait speed and shorter TUG. In the fully adjusted model compared to the high participation cluster, moderate participation was significantly associated with low MoCA scores (OR 4.2, 95% CI 1.7-10.4, p = 0.02), poor STS (OR 7.1, 95% CI 3.0-17.0, p < 0.001) whereas low participation was associated with anorexia of aging (OR 9.9, 95% CI 1.6-60.9, p = 0.014), poor STS (OR 19.1, 95% CI 2.0-187.5, p = 0.011) and hearing impairment (OR 9.8, 95% CI 1.4-70.8, p = 0.024). Participants with 3 out of 6 IC decline had a probability of greater than 80% to belong to the low/moderate participation class. Discussion: Physical function, cognition, hearing and nutrition were significantly associated with low and/or moderate participation class. Future studies are needed to evaluate improvement in participation of those with falls or at risk for falls through restoration of IC.

Predicting restriction of life-space mobility: a machine learning analysis of the IMIAS study.

BACKGROUND: Some studies have employed machine learning (ML) methods for mobility prediction modeling in older adults. ML methods could be a helpful tool for life-space mobility (LSM) data analysis. AIM: This study aimed to evaluate the predictive value of ML algorithms for the restriction of life-space mobility (LSM) among elderly people and to identify the most important risk factors for that prediction model. METHODS: A 2-year LSM reduction prediction model was developed using the ML-based algorithms decision tree, random forest, and eXtreme gradient boosting (XGBoost), and tested on an independent validation cohort. The data were collected from the International Mobility in Aging Study (IMIAS) from 2012 to 2014, comprising 372 older patients (≥ 65 years of age). LSM was measured by the Life-Space Assessment questionnaire (LSA) with five levels of living space during the month before assessment. RESULTS: According to the XGBoost algorithm, the best model reached a mean absolute error (MAE) of 10.28 and root-mean-square error (RMSE) of 12.91 in the testing portion. The variables frailty (39.4%), mobility disability (25.4%), depression (21.9%), and female sex (13.3%) had the highest importance. CONCLUSION: The model identified risk factors through ML algorithms that could be used to predict LSM restriction; these risk factors could be used by practitioners to identify older adults with an increased risk of LSM reduction in the future. The XGBoost model offers benefits as a complementary method of traditional statistical approaches to understand the complexity of mobility.

Self-efficacy and Physical Function in Cancer Survivors Receiving Home-visit Rehabilitation.

Objectives: Home-visit rehabilitation is critical for cancer patients because it facilitates recovery. However, few studies have reported relevant information and practices concerning this patient support. This study investigated the factors influencing the self-efficacy of cancer survivors receiving home-visit rehabilitation compared with non-cancer home-visit rehabilitation users by matching propensity scores. Methods: The present study was a cross-sectional study involving participants from two cancer care institutions. Fifteen cancer survivors who received home-visit rehabilitation (9 men, 6 women; age=77.6±11.1 years) were matched for their propensity scores (adjusted for age, sex, and comorbidity) with 15 home-visit rehabilitation users without cancer (8 men, 7 women; age=74.7±11.7 years). Self-efficacy was measured based on the self-efficacy for activities of daily living (SEADL) scale and self-efficacy for going out among community-dwelling elderly people (SEGE) scale. Grip strength (GS), 30-second chair stand test (CS-30), Functional Independence Measure (FIM), and Life-Space Assessment (LSA) were measured based on objective evaluation items. Results: In cancer survivors, the SEADL was significantly correlated with GS, CS-30, FIM, motor-FIM (mFIM), and LSA. The CS-30 of cancer survivors was significantly correlated with SEGE. Among home-visit rehabilitation users without cancer, although the correlation between SEADL and FIM or mFIM was significant, SEGE was not significantly correlated with the other measurements. Conclusions: When compared with home-visit rehabilitation users without cancer, self-efficacy among cancer survivors was influenced not only by activities of daily living but also by physical function and life-space mobility.

Life-Space Mobility in Aged Care Residents: Frailty In Residential Sector over Time (FIRST) Study Findings.

OBJECTIVES: Life-space mobility is a measure of the extent and frequency of mobility in older adults reflecting not only physical function, but also cognitive, psychosocial, and environmental factors. This study aimed to (1) develop life-space mobility profiles for nursing home residents; (2) examine independent factors associated with these profiles; and (3) identify health outcomes [ie, mortality, quality of life (QoL) and falls] associated with the life-space mobility profiles at 1 year. DESIGN: Prospective cohort study. SETTING AND PARTICIPANTS: Twelve nursing homes including 556 residents, mean age 87.73 ± 7.25 years, 73.0% female. METHODS: Life-space mobility was measured using the Nursing Home Life-Space Diameter (NHLSD). Mortality and falls were extracted from residents' records. QoL was measured using the QoL in Alzheimer Disease (QoL-AD) scale. RESULTS: NHLSD scores ranged from 0 to 50 with a mean score of 27.86 ± 10.12. Resident life-space mobility was mainly centered around their room (94.8%, n = 527) and wing (86.4%, n = 485). One-half of the residents left their wing daily (51.0%, n = 284), and over one-quarter (26.4%, n = 147) ventured outside their nursing home at least weekly. Significant associations (P < .05) with high life-space mobility, identified through multivariable analyses, included lower age [odds ratio (OR) 0.70, 95% confidence interval (CI) 0.51, 0.96]; lower frailty levels (OR 0.67, 95% CI 0.50, 0.86); lower sarcopenia risk (OR 0.72, 95% CI 0.65, 0.79); and a better nutritional status (OR 1.16, 95% CI 1.05, 1.29). High life-space mobility was a predictor (P < .05) of lower mortality, lower falls rate, and higher QoL at 1 year when compared with moderate or low mobility. CONCLUSIONS AND IMPLICATIONS: Given the independent association between high life-space mobility and lower frailty status, lower sarcopenia risk, and a better nutritional status, physical activity and nutritional interventions may be beneficial in leading to improved life-space use. This requires further investigation. Improved life-space mobility can lead to improved health outcomes, such as lower mortality, lower falls rate, and improved QoL.

Worsening sleep predicts lower life space mobility during the onset of the COVID-19 pandemic.

BACKGROUND: Poor sleep health is an understudied yet potentially modifiable risk factor for reduced life space mobility (LSM), defined as one's habitual movement throughout a community. The objective of this study was to determine whether recalled changes in sleep traits (e.g., sleep quality, refreshing sleep, sleep problems, and difficulty falling asleep) because of the COVID-19 pandemic were associated with LSM in older adults. METHODS: Data were obtained from a University of Florida-administered study conducted in May and June of 2020 (n = 923). Linear regression models were used to assess the impact of COVID-related change in sleep traits with summary scores from the Life Space Assessment. Analyses were adjusted for demographic, mental, and physical health characteristics, COVID-related avoidant behaviors, and pre-COVID sleep ratings. RESULTS: In unadjusted models, reporting that any sleep trait got "a lot worse" or "a little worse" was associated with a decrease in LSM (all p < 0.05). Results were attenuated when accounting for demographic, mental, and physical health characteristics. In fully adjusted models, reporting that problems with sleep got "a lot worse" or that refreshing sleep got "a little worse" was associated with a lower standardized LSM score (ß = -0.38, 95% CI: -0.74, -0.01, and ß = -0.19, 95% CI: -0.37, -0.00, respectively). CONCLUSIONS: While additional research is needed in diverse people and environments, the results demonstrate an association between sleep traits that worsen in response to a health threat and reduced LSM. This finding suggests that interventions that focus on maintaining sleep health in times of heightened stress could preserve LSM.

Life-Space Mobility and Parkinson's Disease. A Multiple-Methods Study.

Background: Life-space mobility (LSM) captures a broad spectrum of mobility in physical and social environments; however, it has not been extensively studied in Parkinson's disease. Using a multiple-methods approach, individual, social and environmental factors that impact LSM were explored in PD. Methods: Two hundred twenty-seven participants with PD (n = 113) and a comparative group without PD (n = 114) were recruited from the community. Within a cross-sectional survey, LSM (University of Alabama Birmingham Life-Space Assessment, LSA) was compared in the two groups. Using multiple linear regression, socio-demographics, lifestyle behaviors, medical, mobility and social factors were examined to identify factors that explained LSM. A qualitative narrative inquiry was completed to augment the findings from the survey; 10 participants with PD were interviewed regarding facilitators and barriers to mobility. Results: The mean overall LSA-composite score for the PD group was 64.2 (SD = 25.8) and 70.3 (SD = 23.1) for the community comparative group (mean difference = 6 points, 95%CI:-0.4, 12.5) indicating most participants moved independently beyond their neighborhoods. A higher proportion of the PD group required assistance with mobility than the community comparison group. Not driving, receiving caregiving, lower social participation, and lower monthly family finances were associated with restricted LSM in the PD group. Data from qualitative interviews supported quantitative findings and offered insights into the features of the built environment that facilitate and restrict mobility. Conclusion: Individual, social and environmental factors are associated with the LSM among persons with PD. Clinicians and policy-makers should include both individual and community-based factors when developing interventions to encourage the LSM of the PD population.

Associations between motorized transport access, out-of-home activities, and life-space mobility in older adults in Japan.

BACKGROUND: Motorized transport access and out-of-home activities are two potential correlates of Life-space mobility (LSM), a common research topic in mobility studies of older adults. These correlates remain mostly unexplored in previous literature and relating them with LSM can reveal directions for improving the LSM of older adults. METHODS: The associations between motorized transport access, out-of-home activities, and LSM were examined using data from 1,333 older adults (mean age = 70.63) living in 15 cities and towns in Japan. LSM was assessed using composite life-space assessment (LSA) scores. Motorized transport access was measured using dummies showing whether a person had car access (divided into five levels) and used public transport (bus and railway), and out-of-home activities were measured using the number of various activities that were conducted during the most recent weekday and weekend day. Generalized linear models were used to assess the associations. RESULTS: The sample was dominated by males (74.42%), with more than half of the sample had their own cars. On average, each respondent had four activities during two survey days, and shopping was the most common activity. The results showed that owning a car and using railway, as well as various activities were associated with increased composite LSA scores, whereas no cars or only shared cars in home were associated with decreased composite LSA scores. However, these associations differed between males and females. CONCLUSIONS: In this study, different levels of motorized transport access and different types of out-of-home activities were found to associate differently with composite LSA scores. Based on these findings, we suggest that policymakers should provide more transport access, pay more attention to the LSM of older adults with high clinics/hospital activities, and trigger more shopping and daily leisure activities for older adults to improve the LSM of this population.