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).

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.

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.

Sarcopenia and its association with objectively measured life-space mobility and moderate-to-vigorous physical activity in the oldest-old amid the COVID-19 pandemic when a physical distancing policy is in force.

INTRODUCTION: The oldest-old are highly vulnerable to sarcopenia. Physical distancing remains a common and effective infection-control policy to minimize the risk of COVID-19 transmission during the pandemic. Sarcopenia is known to be associated with impaired immunity. Moderate-to-vigorous physical activity (MVPA) and life-space mobility (LSM) are potential strategies for minimizing the risk of sarcopenia. However, a physical distancing policy might jeopardize the practice of MVPA and LSM. The purposes of this study were to identify the prevalence of sarcopenia and examine the association between MVPA and LSM with sarcopenia in the community-dwelling oldest-old during the COVID-19 pandemic. METHODS: This study employed a cross-sectional and observational design. The study was conducted in 10 community centres for older people in Hong Kong during the period of the COVID-19 pandemic (September to December 2020). Eligible participants were the oldest-old people aged ≥85 years, who were community-dwelling and had no overt symptoms of cognitive impairment or depression. Key variables included sarcopenia as measured by SARC-F, LSM as measured by a GPS built into smartphones, and MVPA as measured by a wrist-worn ActiGraph GT3X+. Variables were described by mean and frequency. A multiple linear regression was employed to test the hypotheses. The dependent variable was sarcopenia and the independent variables included LSM and MVPA. RESULTS: This study recruited 151 eligible participants. Their mean age was 89.8 years and the majority of them were female (n = 93/151, 61.6%). The prevalence of sarcopenia was 24.5% (n = 37/151) with a margin of error of 6.86%. MVPA was negatively associated with sarcopenia in older people (ß = - 0.002, SE = 0.001, p = 0.029). However, LSM was not associated with sarcopenia. CONCLUSION: The prevalence of sarcopenia in the community-dwelling oldest-old population is high. MVPA is negatively associated with sarcopenia. LSM is unrelated to sarcopenia. Sarcopenia should be recognized and the oldest-old with sarcopenia should be accorded priority treatment during the COVID-19 pandemic.

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.

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.

Can probability neglect bias promote social distancing during the COVID-19 pandemic?

The effectiveness of a stay-at-home order depends on the speed of behavioral changes that are triggered by risk perception. Probability neglect bias, one of the cognitive biases, may lead people to engage in social distancing. However, there is no empirical evidence of the relationship between probability neglect bias and social distancing. This study aims to examine the relationship between individual differences in susceptibility to probability neglect bias and the level of social distancing practice during the early stages of the COVID-19 outbreak in Japan. The level of engagement in social distancing was defined as the narrowing of life-space mobility. We conducted a web-based questionnaire survey among 1000 adults living in central Tokyo, Japan, at the beginning of the pandemic outbreak. Our results show that people had a strong fear of infection in the early pandemic stages. Approximately 60% of our subjects were influenced by probability neglect bias. People susceptible to probability neglect bias engaged in social distancing more intensely than those who were not susceptible after the state of emergency was lifted.

Effect of life-space mobility on subjective well-being in aged home-based rehabilitation users with different levels of independence in activities of daily living.

[Purpose] The relationship between quality of life and life-space mobility in community-dwelling older adults has recently been reported. The present study aimed to elucidate this relationship in home-based rehabilitation users with limited life-space mobility and loss of independence in activities of daily living. [Participants and Methods] The study population comprised 33 home-based rehabilitation users. The participants were expected to have a wide range of the level of independence in activities of daily living; therefore, they were categorized into three groups according to the Barthel Index score: independent (95-100 points), moderately disabled (90-65 points), and severely disabled (60-0 points) groups. We examined the relationships among the Philadelphia Geriatric Center Morale Scale, Life-Space Assessment, and Barthel Index scores and age. [Results] We detected a strong positive correlation between the Philadelphia Geriatric Center Morale Scale and Life-Space Assessment scores in the independent group; however, no significant correlations were observed in the moderately and severely disabled groups. [Conclusion] Our findings suggest a relationship between subjective well-being and life-space mobility in home-based rehabilitation users who are mostly independent in activities of daily living. However, owing to the small sample size and characteristics of the scales used in this study, further studies are warranted to verify these results.

Gait speed, life-space mobility and mild cognitive impairment in patients with coronary artery disease.

Slow gait speed and restricted life-space mobility predict cognitive decline and dementia in healthy older adults, yet the relation between gait speed or life-space mobility and cognitive function remains poorly understood in patients with coronary artery disease (CAD). We, therefore, examined the following relations: that between gait speed and cognitive function, and mild cognitive impairment (MCI) and that between life-space mobility and cognitive function, and MCI. We conducted a cross-sectional study of 240 non-dementia patients who met the study criteria from 2132 consecutive CAD patients. MCI was estimated with the Japanese version of the Montreal Cognitive Assessment (MoCA-J). Gait speed was measured to perform gait trials at the patients' usual walking pace, and life-space mobility was evaluated using the Life-Space Assessment (LSA). We investigated the relation between gait speed or life-space mobility and cognitive function by Pearson correlation analysis, whereas multivariable logistic regression analysis was conducted for detecting MCI. Gait speed and LSA scores were positively associated with the MoCA-J score (r = 0.54, p < 0.001 and r = 0.44, p < 0.001, respectively), and both were independently associated with MCI in the multivariable logistic regression analysis (odds ratio 0.007, p < 0.001, and odds ratio 0.98, p = 0.038, respectively). Cognitive impairment can be easily detected by assessment of gait speed and life-space mobility. Interventions to improve gait speed and life-space mobility may lead to the improvement of cognitive function and MCI in patients with CAD.

Falls and life-space mobility: longitudinal analysis from The International Mobility in Aging Study.

OBJECTIVES: To investigate a 4-year longitudinal relationship between falls, recurrent falls, and injurious falls, according to different levels of life-space mobility (LSM). METHODS: Longitudinal analysis of an international cohort study. The participants were older adults from the International Mobility in Aging Study (IMIAS) aged between 65 and 74 years at baseline. Three waves of data (2012, 2014, 2016) were used. Fall history during the past year was recorded. Recurrent fallers were identified as those who fell at least twice and injurious fallers as participants who required medical attention. LSM measurements included Total Life-Space (LS-C), Maximal Life-Space (LS-M), Assisted Life-Space (LS-A), Independent Life-Space (LS-I) and Restricted Life-space (LS-ID) scores. Generalized estimation equation (GEE) models were used to determine whether life-space mobility measures and their change over time differed between recurrence of falls and injurious falls. RESULTS: At baseline, the prevalence of falls in the last year was 28%. 11.8% reported recurrent falls and 2.6% had serious injurious falls in the last year preceding the assessments. Recurrent fallers were more likely to be female, with insufficient income and, with comorbidities. GEE models showed that life-space mobility was lower among those with recurrent falls or serious injurious falls compared to those who never fell, but the rate of change did not differ over the 4-year follow-up except for the LS-A and LS-I scores, where some improvements were observed over time. CONCLUSIONS AND IMPLICATIONS: Falls were independently associated with a decrease in LSM over 4 years. Targeting older adults with recurrent and injurious falls with appropriate interventions may improve community mobility and social participation.