To extract the factors shown in the CFSI exerting an
impact on levels of fatigue, we first examined the relationship
of the number of responses for each CFSI category with age and
years of work experience by calculating Pearson’s correlation
coefficient. Next, we calculated the mean number of responses
(complaint rate) for each CFSI category among subjects who
did or did not report anxiety/concern associated with work environments,
as well as among those who did or did not report
having regular exercise and proper eating behaviors. We then
compared the two groups using the Mann-Whitney U test. In
addition, we used stepwise multiple regression analysis to
identify factors impacting each CFSI category. The factors
examined here were age, years of work experience, workplace
To extract the factors shown in the CFSI exerting animpact on levels of fatigue, we first examined the relationshipof the number of responses for each CFSI category with age andyears of work experience by calculating Pearson’s correlationcoefficient. Next, we calculated the mean number of responses(complaint rate) for each CFSI category among subjects whodid or did not report anxiety/concern associated with work environments,as well as among those who did or did not reporthaving regular exercise and proper eating behaviors. We thencompared the two groups using the Mann-Whitney U test. Inaddition, we used stepwise multiple regression analysis toidentify factors impacting each CFSI category. The factorsexamined here were age, years of work experience, workplace
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