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1.
BMJ Open ; 12(10): e054229, 2022 10 05.
Artigo em Inglês | MEDLINE | ID: mdl-36198449

RESUMO

CONTEXT: Long-term adherence to physical activity (PA) interventions is challenging. The Lifestyle-integrated Functional Exercise programmes were adapted Lifestyle-integrated Functional Exercise (aLiFE) to include more challenging activities and a behavioural change framework, and then enhanced Lifestyle-integrated Functional Exercise (eLiFE) to be delivered using smartphones and smartwatches. OBJECTIVES: To (1) compare adherence measures, (2) identify determinants of adherence and (3) assess the impact on outcome measures of a lifestyle-integrated programme. DESIGN, SETTING AND PARTICIPANTS: A multicentre, feasibility randomised controlled trial including participants aged 61-70 years conducted in three European cities. INTERVENTIONS: Six-month trainer-supported aLiFE or eLiFE compared with a control group, which received written PA advice. OUTCOME MEASURES: Self-reporting adherence per month using a single question and after 6-month intervention using the Exercise Adherence Rating Scale (EARS, score range 6-24). Treatment outcomes included function and disability scores (measured using the Late-Life Function and Disability Index) and sensor-derived physical behaviour complexity measure. Determinants of adherence (EARS score) were identified using linear multivariate analysis. Linear regression estimated the association of adherence on treatment outcome. RESULTS: We included 120 participants randomised to the intervention groups (aLiFE/eLiFE) (66.3±2.3 years, 53% women). The 106 participants reassessed after 6 months had a mean EARS score of 16.0±5.1. Better adherence was associated with lower number of medications taken, lower depression and lower risk of functional decline. We estimated adherence to significantly increase basic lower extremity function by 1.3 points (p<0.0001), advanced lower extremity function by 1.0 point (p<0.0001) and behavioural complexity by 0.008 per 1.0 point higher EARS score (F(3,91)=3.55, p=0.017) regardless of group allocation. CONCLUSION: PA adherence was associated with better lower extremity function and physical behavioural complexity. Barriers to adherence should be addressed preintervention to enhance intervention efficacy. Further research is needed to unravel the impact of behaviour change techniques embedded into technology-delivered activity interventions on adherence. TRIAL REGISTRATION NUMBER: NCT03065088.


Assuntos
Exercício Físico , Estilo de Vida , Idoso , Terapia Comportamental , Análise Custo-Benefício , Feminino , Humanos , Masculino , Qualidade de Vida , Resultado do Tratamento
2.
Int Orthop ; 36(8): 1709-14, 2012 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-22437265

RESUMO

PURPOSE: This paper reports on the development and validity of a new instrument, called the discharge of hip fracture patients score (DHP), that predicts at admission the discharge location in patients living in their own home prior to hip fracture surgery. METHODS: A total of 310 patients aged 50 years and above were included. Risk factors for discharge to an alternative location (DAL) were analysed with a multivariable regression analysis taking the admission variables into account with different weights based on the estimates. The score ranged from 0-100 points. The cut-off point for DAL was calculated using a ROC analysis. Reliability of the DHP was evaluated. RESULTS: Risk factors for DAL were higher age, female gender, dementia, absence of a partner and a limited level of mobility. The cut-off point was set at 30 points, with a sensitivity of 83.8%, a specificity of 64.7% and positive predictive value of 79.2%. CONCLUSION: The DHP is a valid, simple and short instrument to be used at admission to predict discharge location of hip fracture patients.


Assuntos
Artroplastia de Quadril , Indicadores Básicos de Saúde , Fraturas do Quadril/cirurgia , Admissão do Paciente/estatística & dados numéricos , Alta do Paciente/estatística & dados numéricos , Características de Residência/estatística & dados numéricos , Fatores Etários , Idoso , Idoso de 80 Anos ou mais , Demência/epidemiologia , Feminino , Seguimentos , Humanos , Masculino , Pessoa de Meia-Idade , Valor Preditivo dos Testes , Prevalência , Análise de Regressão , Estudos Retrospectivos , Sensibilidade e Especificidade , Fatores Sexuais
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