Sickness-related absenteeism and risk factors associated among flower farm industry workers in Bishoftu town, Southeast Ethiopia, 2018: a cross-sectional study
TH Mekonnen, SK Lamessa, SD Wami - BMC research notes, 2019 - Springer
Objective The objective of this study was to investigate prevalence and factors affecting
sickness absenteeism among flower farm industry workers in Bishoftu town, Ethiopia. A
workplace-based cross-sectional study was conducted from March to April 2018. A sample
of 444 participants were included using a stratified sampling technique. We performed
binary logistic regression analysis to identify factors associated with sickness absenteeism.
Results The entire sampled workers (N= 444) were interviewed. Of the respondents …
sickness absenteeism among flower farm industry workers in Bishoftu town, Ethiopia. A
workplace-based cross-sectional study was conducted from March to April 2018. A sample
of 444 participants were included using a stratified sampling technique. We performed
binary logistic regression analysis to identify factors associated with sickness absenteeism.
Results The entire sampled workers (N= 444) were interviewed. Of the respondents …
Sickness-related absenteeism and risk factors associated among flower farm industry workers in Bishoftu town, southeast Ethiopia, 2018: a cross-sectional study.
THM Tesfaye Hambisa Mekonnen… - 2019 - cabidigitallibrary.org
Objective: The objective of this study was to investigate prevalence and factors affecting
sickness absenteeism among flower farm industry workers in Bishoftu town, Ethiopia. A
workplace-based cross-sectional study was conducted from March to April 2018. A sample
of 444 participants were included using a stratified sampling technique. We performed
binary logistic regression analysis to identify factors associated with sickness absenteeism.
Results: The entire sampled workers (N= 444) were interviewed. Of the respondents …
sickness absenteeism among flower farm industry workers in Bishoftu town, Ethiopia. A
workplace-based cross-sectional study was conducted from March to April 2018. A sample
of 444 participants were included using a stratified sampling technique. We performed
binary logistic regression analysis to identify factors associated with sickness absenteeism.
Results: The entire sampled workers (N= 444) were interviewed. Of the respondents …
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