OBJECTIVES: With the spread of new cultivation methods of strawberries, working conditions have been changed in recent years. Strawberry growers have also been advanced in age. And now, the need to take new measures against physiological fatigue in strawberry growers has become pressing. We investigated the relationship between physiological fatigue and risk factors among middle-aged strawberry growers due to a paucity of such epidemiological studies. DESIGN: Cross-sectional study. Questionnaires were mailed to strawberry growers. SETTING: A rural district in southern part of Japan. SUBJECTS: A total of 1,113 healthy strawberry growers (681 men and 432 women) who were 40—69 years of age. RESULTS: Prevalence of low back pain was the highest (74.0% of males and 73.8% of females), followed by shoulder stiffness and/or pain (49.6% of males and 60.4% of females), and eyestrain (45.2% of males and 50.9% of females). After adjustment of age, working hours, and sleeping hours using a logistic regression analysis, low back pain had the strongest association with agricultural-chemicals spraying among males (odds ratio 2.0; 95% confidence interval 1.4 to 2.8), but there was no significantly association among females. Shoulder stiffness and/or pain had the strongest association with removing old leaves among males (odds ratio 1.5; 95% confidence interval 1.1 to 2.2), and with agricultural-chemicals spraying among females (odds ratio 1.6; 95% confidence interval 1.1 to 2.4). Eyestrain had the strongest association with strawberry sorting among males (odds ratio 2.7; 95% confidence interval 1.9 to 3.8) and with strawberry harvesting among females (odds ratio 3.2; 95% confidence interval 2.0 to 5.1). CONCLUSON: Although the main physiological fatigue among males and females were similar in prevalence, related risk factors differed, and thus the results suggest that it is necessary to take measures against physiological fatigue in consideration of sex difference in the case of middled-aged strawberry growers.
Fatigue <1> ; Relationship by association ; Risk Factors ; Strawberry ; Statistical Prevalence