도시와 농촌 거주 노령인구의 시간활동양상 차이와 초미세먼지 (PM2.5) 노출
Time-activity Patterns and PM2.5 Exposure of the Elderly in Urban and Rural Areas
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다운로드
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참고문헌
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초록
Objectives: Personal exposure to air pollution is affected by contact over time and by location. The purpose ofthis study was to determine the relationship between personal exposure to PM2.5 and the time-activity patternsof the elderly in urban and rural areas. Methods: A total of 44 elderly participants were recruited for a 24-hour PM2.5 personal exposure measurement. Twenty-four were from Seoul (urban area) and 20 were from Asan (rural area). Energy expenditure andspatiotemporal positioning were monitored through PM2.5 measurement. Spearman correlation analysis wasconducted to determine the relationship between PM2.5 and time-activity pattern. Results: Daily average PM2.5 personal exposures were 19.1 ± 9.7 μg/m3 in Seoul and 29.1 ± 16.9 μg/m3 in Asan. Although outdoor exposure was higher in Seoul than in Asan, residential indoor exposure was higher in Asanthan in Seoul. Higher PM2.5 personal exposure in Asan could be explained by longer time in residential indoorenvironments and higher indoor PM2.5 concentrations. Seoul elderly had higher energy expenditure, which maybe due to the use of mass transportation. Conclusion: Personal exposure to PM2.5 was higher among Asan elderly than Seoul elderly because of highresidential indoor concentrations and longer residential time. Lack of energy spent and higher personal exposureto PM2.5 might have led to higher risk among the Asan elderly.
Abstract
Objectives: Personal exposure to air pollution is affected by contact over time and by location. The purpose ofthis study was to determine the relationship between personal exposure to PM2.5 and the time-activity patternsof the elderly in urban and rural areas. Methods: A total of 44 elderly participants were recruited for a 24-hour PM2.5 personal exposure measurement. Twenty-four were from Seoul (urban area) and 20 were from Asan (rural area). Energy expenditure andspatiotemporal positioning were monitored through PM2.5 measurement. Spearman correlation analysis wasconducted to determine the relationship between PM2.5 and time-activity pattern. Results: Daily average PM2.5 personal exposures were 19.1 ± 9.7 μg/m3 in Seoul and 29.1 ± 16.9 μg/m3 in Asan. Although outdoor exposure was higher in Seoul than in Asan, residential indoor exposure was higher in Asanthan in Seoul. Higher PM2.5 personal exposure in Asan could be explained by longer time in residential indoorenvironments and higher indoor PM2.5 concentrations. Seoul elderly had higher energy expenditure, which maybe due to the use of mass transportation. Conclusion: Personal exposure to PM2.5 was higher among Asan elderly than Seoul elderly because of highresidential indoor concentrations and longer residential time. Lack of energy spent and higher personal exposureto PM2.5 might have led to higher risk among the Asan elderly.
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