研究目的
To measure and compare the seasonal minimum and maximum solar ultraviolet exposure of classroom teachers in tropical North Queensland, Australia, to assess personal exposure risks and inform sun-safety strategies.
研究成果
Classroom teachers in tropical North Queensland experience higher personal UV exposures in winter than summer due to behavioral factors, with peak exposures during meal breaks. This highlights the need for year-round sun protection strategies and equitable duty rostering to minimize occupational UV risks.
研究不足
The study measured exposure at only one anatomical site (shoulder), did not account for personal sun protection measures (e.g., hats, sunscreen), and had a small sample size. Self-reported data may have recall errors, and the findings are specific to tropical latitudes.
1：Experimental Design and Method Selection:
The study involved measuring personal erythemally-effective UVR exposure using polysulphone (PS) dosimeters worn by classroom teachers during summer and winter seasons. The design included calibration of dosimeters, data collection over specified periods, and analysis of exposure patterns.
2：Sample Selection and Data Sources:
Classroom teachers were recruited from government and Catholic schools in Townsville, North Queensland. Participants included primary and secondary school teachers, excluding physical education teachers. Data were collected from 23 teachers in summer and 7 in winter, with self-reported sun diaries.
3：List of Experimental Equipment and Materials:
Polysulphone (PS) film dosimeters, spectrophotometer (model UV-2700, Shimadzu, Kyoto, Japan), integrating UVR meter, calibrated scanning spectroradiometer (Bentham Instruments DTM300, Reading UK), and sun diaries.
4：Experimental Procedures and Operational Workflow:
Teachers wore PS dosimeters on the shoulder daily from 7:00 am to 3:00-5:00 pm. Dosimeters were replaced daily, stored in opaque envelopes, and absorbance measured post-exposure. Calibration was performed using local UVR measurements. Sun diaries were completed to record outdoor exposure times.
5：Data Analysis Methods:
Data were analyzed using MATLAB R2013b for statistical summaries. Exposure distributions, means, medians, and interquartile ranges were calculated. Self-reported times were compared with measured exposures.
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