Poststroke Fatigue and Daily Activity Patterns During Outpatient Rehabilitation: An Experience Sampling Method Study
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Objective: To advance our understanding of poststroke fatigue by investigating its momentary and time-lagged relationship with daily activities. Design: Longitudinal observational study using the experience sampling method (ESM).Setting: Outpatient rehabilitation care.Participants: Thirty individuals with stroke (NZ30).Interventions: Not applicable.Main Outcome Measures: ESM is a structured diary method that allows assessing real-time symptoms, behavior, and environment characteristics in the flow of daily life, thereby capturing moment-to-moment variations in fatigue and related factors. Using a mobile application, individuals with stroke were followed during 6 consecutive days, and were prompted at 10 random moments daily to fill in a digital questionnaire about their momentary fatigue and current activity: type of activity, perc' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Ecological momentary assessment","Fatigue","Rehabilitation","Stroke"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Objective: To advance our understanding of poststroke fatigue by investigating its momentary and time-lagged relationship with daily activities. Design: Longitudinal observational study using the experience sampling method (ESM).Setting: Outpatient rehabilitation care.Participants: Thirty individuals with stroke (NZ30).Interventions: Not applicable.Main Outcome Measures: ESM is a structured diary method that allows assessing real-time symptoms, behavior, and environment characteristics in the flow of daily life, thereby capturing moment-to-moment variations in fatigue and related factors. Using a mobile application, individuals with stroke were followed during 6 consecutive days, and were prompted at 10 random moments daily to fill in a digital questionnaire about their momentary fatigue and current activity: type of activity, perc' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Objective: To advance our understanding of poststroke fatigue by investigating its momentary and time-lagged relationship with daily activities. Design: Longitudinal observational study using the experience sampling method (ESM).Setting: Outpatient rehabilitation care.Participants: Thirty individuals with stroke (NZ30).Interventions: Not applicable.Main Outcome Measures: ESM is a structured diary method that allows assessing real-time symptoms, behavior, and environment characteristics in the flow of daily life, thereby capturing moment-to-moment variations in fatigue and related factors. Using a mobile application, individuals with stroke were followed during 6 consecutive days, and were prompted at 10 random moments daily to fill in a digital questionnaire about their momentary fatigue and current activity: type of activity, perc
Ecological momentary assessment; Fatigue; Rehabilitation; Stroke