Objective To investigate the impact of working in greenhouse on the menstrual function of female workers as well as related major risk factors.
Methods A total of 575 female greenhouse workers were recruited by convenience sampling and accepted a reproductive health questionnaire survey. Logistic regression model integrated with principal component analysis was used to identify the main risk factors of female menstrual function.
Results The results of logistic regression model showed that the indices related to pesticide use accounted for the vast majority of contributions from all risk factors, thus the dominant risk factors. Longer annual pesticide exposure time, higher pesticide concentrations, and mixing pesticides by oneself increased the odds of reproductive health issues; while entering the greenhouses one or more days later after spraying pesticide and wearing masks substantially reduced the odds. In addition, age, education, greenhouse working time (year), greenhouse area, and income were also the risk factors for abnormal menstruation.
Conclusion Various risk factors could contribute to the menstrual function abnormalities of female greenhouse workers, including pesticide exposure, age, and education.
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