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10.1186/s12889-021-11013-2 http://scihub22266oqcxt.onion/10.1186/s12889-021-11013-2 34059034!8164957!34059034     free     free     free       BMC+Public+Health 2021 ; 21 (1): 1023 Nephropedia Template TP {{tp|p=34059034|t=2021. Patterns and predictors of sick leave after Covid-19 and long Covid in a national Swedish cohort |pdf=|usr=}}{{34059034}} gab.com Text Patterns and predictors of sick leave after Covid-19 and long Covid in a national Swedish cohort JO: BMC Public Health http://www.kidney.de/pget.php?&tw=1&pmid=34059034 #FOAvip BACKGROUND: The impact of Covid-19 and its long-term consequences is not yet fully understood. Sick leave can be seen as an indicator of health in a working age population, and the present study aimed to investigate sick-leave patterns after Covid-19, and potential factors predicting longer sick leave in hospitalised and non-hospitalised people with Covid-19. METHODS: The present study is a comprehensive national registry-based study in Sweden with a 4-month follow-up. All people who started to receive sickness benefits for Covid-19 during March 1 to August 31, 2020, were included. Predictors of sick leave >/=1 month and long Covid (>/=12 weeks) were analysed with logistic regression in the total population and in separate models depending on inpatient care due to Covid-19. RESULTS: A total of 11,955 people started sick leave for Covid-19 within the inclusion period. The median sick leave was 35 days, 13.3% were on sick leave for long Covid, and 9.0% remained on sick leave for the whole follow-up period. There were 2960 people who received inpatient care due to Covid-19, which was the strongest predictor of longer sick leave. Sick leave the year prior to Covid-19 and older age also predicted longer sick leave. No clear pattern of socioeconomic factors was noted. CONCLUSIONS: A substantial number of people are on sick leave due to Covid-19. Sick leave may be protracted, and sick leave for long Covid is quite common. The severity of Covid-19 (needing inpatient care), prior sick leave, and age all seem to predict the likelihood of longer sick leave. However, no socioeconomic factor could clearly predict longer sick leave, indicating the complexity of this condition. The group needing long sick leave after Covid-19 seems to be heterogeneous, indicating a knowledge gap. Twit Text FOAVip Patterns and predictors of sick leave after Covid-19 and long Covid in a national Swedish cohort ????BMC Public Health http://www.kidney.de/pget.php?&tw=1&pmid=34059034 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34059034 #FOAvip English Wikipedia <ref>{{Cite pmid|34059034}}</ref> Patterns and predictors of sick leave after Covid-19 and long Covid in a national Swedish cohort #MMPMID34059034 Westerlind E; Palstam A; Sunnerhagen KS; Persson HC BMC Public Health 2021[May]; 21 (1): 1023 PMID34059034show ga BACKGROUND: The impact of Covid-19 and its long-term consequences is not yet fully understood. Sick leave can be seen as an indicator of health in a working age population, and the present study aimed to investigate sick-leave patterns after Covid-19, and potential factors predicting longer sick leave in hospitalised and non-hospitalised people with Covid-19. METHODS: The present study is a comprehensive national registry-based study in Sweden with a 4-month follow-up. All people who started to receive sickness benefits for Covid-19 during March 1 to August 31, 2020, were included. Predictors of sick leave >/=1 month and long Covid (>/=12 weeks) were analysed with logistic regression in the total population and in separate models depending on inpatient care due to Covid-19. RESULTS: A total of 11,955 people started sick leave for Covid-19 within the inclusion period. The median sick leave was 35 days, 13.3% were on sick leave for long Covid, and 9.0% remained on sick leave for the whole follow-up period. There were 2960 people who received inpatient care due to Covid-19, which was the strongest predictor of longer sick leave. Sick leave the year prior to Covid-19 and older age also predicted longer sick leave. No clear pattern of socioeconomic factors was noted. CONCLUSIONS: A substantial number of people are on sick leave due to Covid-19. Sick leave may be protracted, and sick leave for long Covid is quite common. The severity of Covid-19 (needing inpatient care), prior sick leave, and age all seem to predict the likelihood of longer sick leave. However, no socioeconomic factor could clearly predict longer sick leave, indicating the complexity of this condition. The group needing long sick leave after Covid-19 seems to be heterogeneous, indicating a knowledge gap. |*COVID-19[MESH] |*Sick Leave[MESH] |Aged[MESH] |Cohort Studies[MESH] |Humans[MESH] |SARS-CoV-2[MESH]Patterns and predictors of sick leave after Covid-19 and long Covid in(epmc).pdf DeepDyve Pubget Overpricing