RESUMO
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.
Assuntos
Fragilidade , Aprendizado de Máquina , Humanos , Idoso , Algoritmos , Fatores de Risco , EnvelhecimentoRESUMO
BACKGROUND: The COVID-19 pandemic has led to abrupt restrictions of life-space mobility. The impact of shelter-in-place orders on older adults' health and well-being is still unclear. OBJECTIVE: To investigate the relationship between life-space mobility and quality of life (QoL) in older adults with and without frailty during the COVID-19 pandemic. DESIGN: Multicenter prospective cohort study based on structured telephone interviews. SETTING: Four geriatric outpatient clinics in the metropolitan area of Sao Paulo, Brazil. PARTICIPANTS: 557 community-dwelling adults aged 60 years and older. MEASUREMENTS: The Life-Space Assessment was used to measure community mobility before and during the COVID-19 pandemic, and a previously validated decrease of ≥ 5 points defined restricted life-space mobility. Frailty was assessed through the FRAIL (fatigue, resistance, ambulation, illnesses, and loss of weight) scale. The impact of shelter-in-place orders on QoL was evaluated with the question «How is the COVID-19 pandemic affecting your QoL?¼, to which participants could respond «not at all¼, «to some extent¼, or «to a great extent¼. We used ordinal logistic regressions to investigate the relationship between restricted life-space mobility and impact on QoL, adjusting our analyses for demographics, frailty, comorbidities, cognition, functionality, loneliness, depression, and anxiety. We explored whether frailty modified the association between life-space mobility and impact on QoL. RESULTS: Participants were on average 80±8 years old, 65% were women, and 33% were frail. The COVID-19 quarantine led to a restriction of community mobility in 79% of participants and affected the QoL for 77% of participants. We found that restricted life-space mobility was associated with impact on QoL in older adults during the pandemic, although frailty modified the magnitude of the association (P-value for interaction=0.03). Frail participants who experienced restricted life-space mobility had twice the odds of reporting an impact on QoL when compared with non-frail individuals, with respective adjusted odds ratios of 4.20 (95% CI=2.36-7.50) and 2.18 (95% CI=1.33-3.58). CONCLUSION: Older adults experienced substantial decreases in life-space mobility during the COVID-19 pandemic, and this unexpected change impacted their QoL. Providers should be particularly watchful for the consequences of abrupt life-space restrictions on frail individuals.
Assuntos
COVID-19/psicologia , Idoso Fragilizado/psicologia , Fragilidade/psicologia , Avaliação Geriátrica/estatística & dados numéricos , Qualidade de Vida/psicologia , Idoso , Idoso de 80 Anos ou mais , Ansiedade/psicologia , Brasil , Estudos Transversais , Depressão/psicologia , Fadiga/psicologia , Feminino , Humanos , Vida Independente , Entrevistas como Assunto , Solidão/psicologia , Masculino , Pessoa de Meia-Idade , Distanciamento Físico , Estudos Prospectivos , SARS-CoV-2RESUMO
Background: fear of falling (FOF) is a major health concern among community-dwelling older adults that could restrict mobility. Objective: to examine the association of FOF with life-space mobility (i.e. the spatial area a person moves through in daily life) of community-dwelling older adults from five diverse sites. Methods: in total, 1,841 older adults (65-74 years) were recruited from Kingston, Canada; Saint-Hyacinthe, Canada; Tirana, Albania; Manizales, Colombia and Natal, Brazil. FOF was assessed using the Fall Efficacy Scale-International (FES-I total score), and the life space was quantified using the Life-Space Assessment (LSA), a scale that runs from 0 (minimum life space) to 120 (maximum life space). Results: the overall average LSA total score was 68.7 (SD: 21.2). Multiple-linear regression analysis demonstrated a significant relationship of FOF with life-space mobility, even after adjusting for functional, clinical and sociodemographic confounders (B = -0.15, 95% confidence interval (CI) -0.26 to -0.04). The FOF × site interaction term was significant with a stronger linear relationship found in the Canadian sites and Tirana compared with the South American sites. After adjusting for all confounders, the association between FOF with LSA remained significant at Kingston (B = -0.32, 95% CI -0.62 to -0.01), Saint-Hyacinthe (B = -0.81, 95% CI -1.31 to -0.32) and Tirana (B = -0.57, 95% CI -0.89 to -0.24). Conclusion: FOF is an important psychological factor that is associated with reduction in life space of older adults in different social and cultural contexts, and the strength of this association is site specific. Addressing FOF among older adults would help improve their mobility in local communities, which in turn would improve social participation and health-related quality of life.