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10.1002/1348-9585.12232 http://scihub22266oqcxt.onion/10.1002/1348-9585.12232 33998105!8126756!33998105     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Occup+Health 2021 ; 63 (1): e12232 Nephropedia Template TP {{tp|p=33998105|t=2021. A cross-sectional study of socioeconomic status and treatment interruption among Japanese workers during the COVID-19 pandemic |pdf=|usr=}}{{33998105}} gab.com Text A cross-sectional study of socioeconomic status and treatment interruption among Japanese workers during the COVID-19 pandemic JO: J Occup Health http://www.kidney.de/pget.php?&tw=1&pmid=33998105 #FOAvip OBJECTIVES: The COVID-19 pandemic has caused interruptions to chronic disease and non-emergency treatment. The purpose of this study is to examine which socioeconomic status groups are most at risk of treatment interruption among Japanese workers. METHODS: This cross-sectional internet monitor study was conducted among Japanese workers on December 22-26, 2020. Out of a total of 33 302 participants in the survey, 9510 (5392 males and 4118 females) who responded that they required regular treatment or hospital visits were included in the analysis. A multilevel logistic model nested in the prefecture of residence was used to estimate the odds ratio (OR) for treatment disruption. We examined separate multivariate models for socioeconomic factors, health factors, and lifestyle factors. RESULTS: During a period of rapid COVID-19 infection, about 11% of Japanese workers who required regular treatment experienced interruptions to their treatment. The OR of treatment interruption associated with not being married compared with being married was 1.44 (95%CI: 1.17-1.76); manual labor work compared with desk work was 1.30 (95%CI: 1.11-1.52); loss of employment when the COVID-19 pandemic started and continued unemployment compared with being employed over the entire pandemic period was 1.62 (95%CI: 1.13-2.31) and 2.57 (95%CI: 1.63-4.07), respectively; and feeling financially unstable was 2.92 (95%CI: 2.25-3.80). CONCLUSION: Treatment interruption is a new health inequality brought about by COVID-19 with possible medium- and long-term effects, including excess mortality, morbidity, and productivity loss due to increased presenteeism. Efforts are needed to reduce treatment interruptions among workers who require regular treatment. Twit Text FOAVip A cross-sectional study of socioeconomic status and treatment interruption among Japanese workers during the COVID-19 pandemic ????J Occup Health http://www.kidney.de/pget.php?&tw=1&pmid=33998105 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33998105 #FOAvip English Wikipedia <ref>{{Cite pmid|33998105}}</ref> A cross-sectional study of socioeconomic status and treatment interruption among Japanese workers during the COVID-19 pandemic #MMPMID33998105 Fujimoto K; Ishimaru T; Tateishi S; Nagata T; Tsuji M; Eguchi H; Ogami A; Matsuda S; Fujino Y J Occup Health 2021[Jan]; 63 (1): e12232 PMID33998105show ga OBJECTIVES: The COVID-19 pandemic has caused interruptions to chronic disease and non-emergency treatment. The purpose of this study is to examine which socioeconomic status groups are most at risk of treatment interruption among Japanese workers. METHODS: This cross-sectional internet monitor study was conducted among Japanese workers on December 22-26, 2020. Out of a total of 33 302 participants in the survey, 9510 (5392 males and 4118 females) who responded that they required regular treatment or hospital visits were included in the analysis. A multilevel logistic model nested in the prefecture of residence was used to estimate the odds ratio (OR) for treatment disruption. We examined separate multivariate models for socioeconomic factors, health factors, and lifestyle factors. RESULTS: During a period of rapid COVID-19 infection, about 11% of Japanese workers who required regular treatment experienced interruptions to their treatment. The OR of treatment interruption associated with not being married compared with being married was 1.44 (95%CI: 1.17-1.76); manual labor work compared with desk work was 1.30 (95%CI: 1.11-1.52); loss of employment when the COVID-19 pandemic started and continued unemployment compared with being employed over the entire pandemic period was 1.62 (95%CI: 1.13-2.31) and 2.57 (95%CI: 1.63-4.07), respectively; and feeling financially unstable was 2.92 (95%CI: 2.25-3.80). CONCLUSION: Treatment interruption is a new health inequality brought about by COVID-19 with possible medium- and long-term effects, including excess mortality, morbidity, and productivity loss due to increased presenteeism. Efforts are needed to reduce treatment interruptions among workers who require regular treatment. |*Health Services Accessibility[MESH] |*Occupational Health[MESH] |*Pandemics[MESH] |*Socioeconomic Factors[MESH] |COVID-19/*epidemiology[MESH] |Cross-Sectional Studies[MESH] |Female[MESH] |Humans[MESH] |Japan/epidemiology[MESH] |Male[MESH] |SARS-CoV-2[MESH]A cross-sectional study of socioeconomic status and treatment interrup(epmc).pdf DeepDyve Pubget Overpricing