<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>18(1)</volume><submitter>Burton C</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>People with Long Covid (Post Covid-19 Condition) describe multiple symptoms which vary between and within individuals over relatively short time intervals. We aimed to describe the real-time associations between different symptoms and between symptoms and physical activity at the individual patient level.&lt;h4>Methods and findings&lt;/h4>Intensive longitudinal study of 82 adults with self-reported Long Covid (median duration 12-18 months). Data collection involved a smartphone app with 5 daily entries over 14 days and continuous wearing of a wrist accelerometer. Data items included 7 symptoms (Visual Analog Scales) and perceived demands in the preceding period (Likert scales). Activity was measured using mean acceleration in the 3-hour periods preceding and following app data</pubmed_abstract><journal>PloS one</journal><pagination>e0280343</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9851560</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Within and between-day variation and associations of symptoms in Long Covid: Intensive longitudinal study.</pubmed_title><pmcid>PMC9851560</pmcid><pubmed_authors>Burton C</pubmed_authors><pubmed_authors>Goodwill S</pubmed_authors><pubmed_authors>Thelwell M</pubmed_authors><pubmed_authors>Dalton C</pubmed_authors><pubmed_authors>Dawes H</pubmed_authors></additional><is_claimable>false</is_claimable><name>Within and between-day variation and associations of symptoms in Long Covid: Intensive longitudinal study.</name><description>&lt;h4>Background&lt;/h4>People with Long Covid (Post Covid-19 Condition) describe multiple symptoms which vary between and within individuals over relatively short time intervals. We aimed to describe the real-time associations between different symptoms and between symptoms and physical activity at the individual patient level.&lt;h4>Methods and findings&lt;/h4>Intensive longitudinal study of 82 adults with self-reported Long Covid (median duration 12-18 months). Data collection involved a smartphone app with 5 daily entries over 14 days and continuous wearing of a wrist accelerometer. Data items included 7 symptoms (Visual Analog Scales) and perceived demands in the preceding period (Likert scales). Activity was measured using mean acceleration in the 3-hour periods preceding and following app data</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023</publication><modification>2025-04-18T15:21:13.093Z</modification><creation>2025-04-07T01:59:16.199Z</creation></dates><accession>S-EPMC9851560</accession><cross_references><pubmed>36656830</pubmed><doi>10.1371/journal.pone.0280343</doi></cross_references></HashMap>