Xiangcun Wang, Jiacai Zhang, Xia Wu
A feature enhanced EEG compression model using asymmetric encoding-decoding network
Journal of neural engineering
study aimed compare effortreward imbalance eri among registered nurses social workers elementary school teachers analyze effects eri satisfaction working conditions sleeprelated problems secondary data analysis conducted using crosssectional data korean working conditions survey collected 2017 study sample included 276 registered nurses 97 social workers 229 elementary school teachers effort index measured using two dimensions work intensity working time quality seven subdimensions reward index consisted three dimensions social support earning prospects five subdimensions eri index computed dividing average effort score average reward score linear logistic regression analysis conducted compare efforts rewards eri among three occupations examine effects eri satisfaction sleeprelated problems nurses significantly higher effort score two groups however nurses lower reward score elementary school teachers higher score social workers highest eri index found among nurses 047 016 followed social workers 039 030 elementary school teachers 030 015 three occupations showed inverse relationship eri satisfaction working conditions positive relationships eri sleeprelated problems high eri ie effort relative reward perceived nurses associated diminished satisfaction increased sleeprelated problems attract future generations nursing career choice ensure sustainable nurse workforce nurseperceived eri decreased reducing work demands increasing monetary nonmonetary rewards