{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T09:06:17Z","timestamp":1789981577574,"version":"4.0.1"},"reference-count":52,"publisher":"European Respiratory Society (ERS)","issue":"5","license":[{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["publications.ersnet.org"],"crossmark-restriction":true},"short-container-title":["ERJ Open Res"],"accepted":{"date-parts":[[2026,3,22]]},"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>\n                      Physical inactivity is a risk factor for severe COVID-19 and often worsens after hospitalisation. Clinicians need quick, accurate assessments to target interventions. We aimed to assess the validity of the General Practice Physical Activity Questionnaire (GPPAQ) in adults recovering 1 year after COVID-19 hospitalisation\n                      <jats:bold>.<\/jats:bold>\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Post-hospitalisation for COVID-19, adults attended a 1-year-visit and completed the GPPAQ Physical Activity Index (PAI-4 active), 14-day wrist-worn accelerometry (moderate\u2013vigorous physical activity (MVPA) active) and other health outcomes. Validity was examined\n                      <jats:italic>via<\/jats:italic>\n                      1) internal consistency (factor analysis); 2) measurement invariance across sex, age and ethnicity using differential item functioning (DIF); 3) convergent validity (GPPAQ sensitivity\/specificity\n                      <jats:italic>versus<\/jats:italic>\n                      accelerometry); and 4) construct validity (correlations with health outcomes).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      752 participants had GPPAQ and accelerometry (265 female, mean\u00b1\n                      <jats:sc>sd<\/jats:sc>\n                      age 60.9\u00b111.6\u2005years), MVPA 18.75\u2005min\u00b7day\n                      <jats:sup>\u22121<\/jats:sup>\n                      (interquartile range 7.55\u201336.11), PAI-1 46.8%, PAI-2 15.6%, PAI-3 19.4% and PAI-4 18.2%. Factor analyses supported good internal consistency with two factors (daily activities and physical exercise). Comparative factor index (CFI) showed an excellent fit (CFI 0.965). DIF indicated moderate variability by sex and age. GPPAQ-PAI showed limited sensitivity (26.3%) for correctly classifying physically active individuals, but higher specificity (88.4%) for classifying physical inactivity, and weak-to-moderate correlations with health outcomes.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>GPPAQ demonstrates internal consistency, with construct and convergent validity in adults 1\u2005year after COVID-19 hospitalisation. GPPAQ effectively identifies inactive individuals to support clinical care; however, its sensitivity suggests under-estimation of activity relative to accelerometry. Future pathways should combine GPPAQ with device-based assessment to optimise evaluation of physical activity to guide pulmonary rehabilitation and targeted interventions.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1183\/23120541.01496-2025","type":"journal-article","created":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T14:55:16Z","timestamp":1777647316000},"page":"01496-2025","update-policy":"https:\/\/doi.org\/10.1183\/ers-crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Validation of the General Practice Physical Activity Questionnaire after severe 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Psychometric methods for investigating DIF and test bias during test adaptation across languages and cultures. In: Proc 5th International Test Commission Conference; 2006 Jul 6\u20138; Universit\u00e9 Catholique de Louvain, Brussels, Belgium. 2006."},{"key":"2026092101451197000_12.5.01496-2025.52","doi-asserted-by":"publisher","DOI":"10.1183\/09031936.00183014"}],"container-title":["ERJ Open Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/syndication.highwire.org\/content\/doi\/10.1183\/23120541.01496-2025","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T08:45:25Z","timestamp":1789980325000},"score":1,"resource":{"primary":{"URL":"https:\/\/publications.ersnet.org\/lookup\/doi\/10.1183\/23120541.01496-2025"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,1]]},"references-count":52,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2026,9,21]]},"published-print":{"date-parts":[[2026,9]]}},"alternative-id":["10.1183\/23120541.01496-2025"],"URL":"https:\/\/doi.org\/10.1183\/23120541.01496-2025","relation":{},"ISSN":["2312-0541"],"issn-type":[{"value":"2312-0541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5,1]]}}}