Walter Maetzler, Leonor Correia Guedes, Kirsten Nele Emmert, Jennifer Kudelka, Hanna Luise Hildesheim, Emma Paulides, Hayley Connolly, Kristen Davies, Valentina Dilda, Teemu Ahmaniemi, Luisa Avedano, Raquel Bouça-Machado, Michael Chambers, Meenakshi Chatterjee, Peter Gallagher, Johanna Graeber, Corina Maetzler, Hanna Kaduszkiewicz, Norelee Kennedy, Victoria Macrae, Laura Carrasco Marin, Anusha Moses, Alessandro Padovani, Andrea Pilotto, Natasha Ratcliffe, Ralf Reilmann, Madalena Rosario, Stefan Schreiber, Dina De Sousa, Geert Van Gassen, Lori Ann Warring, Klaus Seppi, C Janneke van der Woude, Joaquim J Ferreira, Wan-Fai Ng
{"title":"与疲劳有关的日常功能变化:数字时代最有前途的措施。","authors":"Walter Maetzler, Leonor Correia Guedes, Kirsten Nele Emmert, Jennifer Kudelka, Hanna Luise Hildesheim, Emma Paulides, Hayley Connolly, Kristen Davies, Valentina Dilda, Teemu Ahmaniemi, Luisa Avedano, Raquel Bouça-Machado, Michael Chambers, Meenakshi Chatterjee, Peter Gallagher, Johanna Graeber, Corina Maetzler, Hanna Kaduszkiewicz, Norelee Kennedy, Victoria Macrae, Laura Carrasco Marin, Anusha Moses, Alessandro Padovani, Andrea Pilotto, Natasha Ratcliffe, Ralf Reilmann, Madalena Rosario, Stefan Schreiber, Dina De Sousa, Geert Van Gassen, Lori Ann Warring, Klaus Seppi, C Janneke van der Woude, Joaquim J Ferreira, Wan-Fai Ng","doi":"10.1159/000536568","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Fatigue is a prominent symptom in many diseases and is strongly associated with impaired daily function. The measurement of daily function is currently almost always done with questionnaires, which are subjective and imprecise. With the recent advances of digital wearable technologies, novel approaches to evaluate daily function quantitatively and objectively in real-life conditions are increasingly possible. This also creates new possibilities to measure fatigue-related changes of daily function using such technologies.</p><p><strong>Summary: </strong>This review examines which digitally assessable parameters in immune-mediated inflammatory and neurodegenerative diseases may have the greatest potential to reflect fatigue-related changes of daily function.</p><p><strong>Key messages: </strong>Results of a standardized analysis of the literature reporting about perception-, capacity-, and performance-evaluating assessment tools indicate that changes of the following parameters: physical activity, independence of daily living, social participation, working life, mental status, cognitive and aerobic capacity, and supervised and unsupervised mobility performance have the highest potential to reflect fatigue-related changes of daily function. These parameters thus hold the greatest potential for quantitatively measuring fatigue in representative diseases in real-life conditions, e.g., with digital wearable technologies. Furthermore, to the best of our knowledge, this is a new approach to analysing evidence for the design of performance-based digital assessment protocols in human research, which may stimulate further systematic research in this area.</p>","PeriodicalId":11242,"journal":{"name":"Digital Biomarkers","volume":"8 1","pages":"30-39"},"PeriodicalIF":0.0000,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10954320/pdf/","citationCount":"0","resultStr":"{\"title\":\"Fatigue-Related Changes of Daily Function: Most Promising Measures for the Digital Age.\",\"authors\":\"Walter Maetzler, Leonor Correia Guedes, Kirsten Nele Emmert, Jennifer Kudelka, Hanna Luise Hildesheim, Emma Paulides, Hayley Connolly, Kristen Davies, Valentina Dilda, Teemu Ahmaniemi, Luisa Avedano, Raquel Bouça-Machado, Michael Chambers, Meenakshi Chatterjee, Peter Gallagher, Johanna Graeber, Corina Maetzler, Hanna Kaduszkiewicz, Norelee Kennedy, Victoria Macrae, Laura Carrasco Marin, Anusha Moses, Alessandro Padovani, Andrea Pilotto, Natasha Ratcliffe, Ralf Reilmann, Madalena Rosario, Stefan Schreiber, Dina De Sousa, Geert Van Gassen, Lori Ann Warring, Klaus Seppi, C Janneke van der Woude, Joaquim J Ferreira, Wan-Fai Ng\",\"doi\":\"10.1159/000536568\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Fatigue is a prominent symptom in many diseases and is strongly associated with impaired daily function. The measurement of daily function is currently almost always done with questionnaires, which are subjective and imprecise. With the recent advances of digital wearable technologies, novel approaches to evaluate daily function quantitatively and objectively in real-life conditions are increasingly possible. This also creates new possibilities to measure fatigue-related changes of daily function using such technologies.</p><p><strong>Summary: </strong>This review examines which digitally assessable parameters in immune-mediated inflammatory and neurodegenerative diseases may have the greatest potential to reflect fatigue-related changes of daily function.</p><p><strong>Key messages: </strong>Results of a standardized analysis of the literature reporting about perception-, capacity-, and performance-evaluating assessment tools indicate that changes of the following parameters: physical activity, independence of daily living, social participation, working life, mental status, cognitive and aerobic capacity, and supervised and unsupervised mobility performance have the highest potential to reflect fatigue-related changes of daily function. These parameters thus hold the greatest potential for quantitatively measuring fatigue in representative diseases in real-life conditions, e.g., with digital wearable technologies. Furthermore, to the best of our knowledge, this is a new approach to analysing evidence for the design of performance-based digital assessment protocols in human research, which may stimulate further systematic research in this area.</p>\",\"PeriodicalId\":11242,\"journal\":{\"name\":\"Digital Biomarkers\",\"volume\":\"8 1\",\"pages\":\"30-39\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10954320/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Digital Biomarkers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1159/000536568\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digital Biomarkers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1159/000536568","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"Computer Science","Score":null,"Total":0}
Fatigue-Related Changes of Daily Function: Most Promising Measures for the Digital Age.
Background: Fatigue is a prominent symptom in many diseases and is strongly associated with impaired daily function. The measurement of daily function is currently almost always done with questionnaires, which are subjective and imprecise. With the recent advances of digital wearable technologies, novel approaches to evaluate daily function quantitatively and objectively in real-life conditions are increasingly possible. This also creates new possibilities to measure fatigue-related changes of daily function using such technologies.
Summary: This review examines which digitally assessable parameters in immune-mediated inflammatory and neurodegenerative diseases may have the greatest potential to reflect fatigue-related changes of daily function.
Key messages: Results of a standardized analysis of the literature reporting about perception-, capacity-, and performance-evaluating assessment tools indicate that changes of the following parameters: physical activity, independence of daily living, social participation, working life, mental status, cognitive and aerobic capacity, and supervised and unsupervised mobility performance have the highest potential to reflect fatigue-related changes of daily function. These parameters thus hold the greatest potential for quantitatively measuring fatigue in representative diseases in real-life conditions, e.g., with digital wearable technologies. Furthermore, to the best of our knowledge, this is a new approach to analysing evidence for the design of performance-based digital assessment protocols in human research, which may stimulate further systematic research in this area.