Selected article for: "logistic regression and long month"
Author: Westerlind, Emma; Palstam, Annie; Sunnerhagen, Katharina S.; Persson, Hanna C.
Title: Patterns and predictors of sick leave after Covid-19 and long Covid in a national Swedish cohort
  • Cord-id: g1msby2g
  • Document date: 2021_5_31
    • ID: g1msby2g
    Snippet: 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
    Document: 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-11013-2.

    Search related documents:
    Co phrase search for related documents
    • absolute number and acute respiratory distress syndrome: 1, 2, 3, 4
    • absolute number and acute respiratory distress syndrome care unit: 1
    • absolute number and logistic regression: 1, 2, 3, 4, 5
    • absolute number and long covid: 1
    • acceptable accuracy and acute respiratory distress syndrome: 1, 2
    • acceptable accuracy and logistic regression: 1
    • acceptable accuracy and long covid: 1
    • actual prevalence and acute phase: 1
    • actual prevalence and acute respiratory distress syndrome: 1
    • actual prevalence and logistic regression: 1, 2
    • actual prevalence and long covid: 1
    • acute phase and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • acute phase and long covid: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • acute phase and long covid group: 1
    • acute phase critical and long covid: 1
    • acute respiratory distress syndrome and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • acute respiratory distress syndrome and long covid: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • acute respiratory distress syndrome care unit and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
    • acute respiratory distress syndrome care unit and long covid: 1, 2, 3, 4