透過您的圖書館登入
IP:13.59.136.170
  • 期刊

學生健康體適能與空氣懸浮微粒之空間關聯分析:以臺灣地區生態相關研究為例

Spatial correlation analysis of particulate matter air pollution exposure and health-related physical fitness among school-aged children and adolescents: An ecological study in Taiwan

摘要


緒論:本研究目的係探緒論:本研究目的係探討臺灣地區室外空氣懸浮微粒PM_(2.5)及PM_(10)暴露與學生健康體適能表現之相關性探討。方法:本研究設計採用生態相關研究(ecological study),蒐集2006至2010年臺灣地區70個行政院環境保護署建置的空氣品質監測站之室外空氣中懸浮微粒PM2.5及PM10的年平均濃度。學生健康體適能資料來自教育部體育署體適能網站所收集2007年臺灣地區169,206位國小四年級學生並追蹤5年至2011年,進一步計算心肺耐力(800/1600公尺跑走)、肌力與肌耐力(1分鐘屈膝仰臥起坐)、柔軟度(坐姿體前彎)、瞬發力(立定跳遠) 及身體組成(身體質量指數) 等學生各項健康體適能指標在各鄉鎮市區的平均值。利用皮爾森積差相關係數(Pearson correlation coefficients)分析室外空氣中懸浮微粒PM_(2.5)及PM_(10)濃度與學生各項健康體適能指標的關聯性。結果:本研究結果顯示室外空氣中懸浮微粒PM10濃度與男性學生800/1600公尺跑走秒數呈現顯著正相關(r = 0.268 ~ 0.403,p < .05);與男女性學生1分鐘屈膝仰臥起坐次數呈現顯著負相關 (男性r = -0.299 ~ -0.319,p < .05;女性r = -0.080 ~ -0.316,p < .05);與男女性學生坐姿體前彎距離呈現顯著正相關(男性r = 0.251 ~ 0.312,p < .05;女性r = 0.251 ~ 0.294,p < .05);與女性學生立定跳遠距離呈現顯著正相關 (女性r = -0.276,p < .05);與女性學生身體質量指數呈現顯著正相關(女性r = 0.253 ~ 0.346,p < .05)。此外,室外空氣中懸浮微粒PM_(2.5)濃度與男性學生800/1600公尺跑走秒數呈現顯著正相關(r = 0.252 ~ 0.383,p < .05);與男女性學生1分鐘屈膝仰臥起坐次數呈現顯著負相關(男性r = -0.244 ~ -0.337,p < .05;女性r = -0.305 ~ -0.377,p < .05);與男女性學生坐姿體前彎距離呈現顯著正相關(男性r= 0.244 ~ 0.260,p < .05;女性r = 0.247,p < .05);與女性學生身體質量指數呈現顯著正相關(女性r = 0.250 ~ 0.320,p < .05)。結論:本研究顯示臺灣地區室外空氣汙染物懸浮微粒濃度與學生健康體適能檢測成績具有相關性。討臺灣地區室外空氣懸浮微粒PM_(2.5)及PM_(10)暴露與學生健康體適能表現之相關性探討。方法:本研究設計採用生態相關研究(ecological study),蒐集2006至2010年臺灣地區70個行政院環境保護署建置的空氣品質監測站之室外空氣中懸浮微粒PM2.5及PM10的年平均濃度。學生健康體適能資料來自教育部體育署體適能網站所收集2007年臺灣地區169,206位國小四年級學生並追蹤5年至2011年,進一步計算心肺耐力(800/1600公尺跑走)、肌力與肌耐力(1分鐘屈膝仰臥起坐)、柔軟度(坐姿體前彎)、瞬發力(立定跳遠) 及身體組成(身體質量指數) 等學生各項健康體適能指標在各鄉鎮市區的平均值。利用皮爾森積差相關係數(Pearson correlation coefficients)分析室外空氣中懸浮微粒PM_(2.5)及PM_(10)濃度與學生各項健康體適能指標的關聯性。結果:本研究結果顯示室外空氣中懸浮微粒PM10濃度與男性學生800/1600公尺跑走秒數呈現顯著正相關(r = 0.268 ~ 0.403,p < .05);與男女性學生1分鐘屈膝仰臥起坐次數呈現顯著負相關 (男性r = -0.299 ~ -0.319,p < .05;女性r = -0.080 ~ -0.316,p < .05);與男女性學生坐姿體前彎距離呈現顯著正相關(男性r = 0.251 ~ 0.312,p < .05;女性r = 0.251 ~ 0.294,p < .05);與女性學生立定跳遠距離呈現顯著正相關 (女性r = -0.276,p < .05);與女性學生身體質量指數呈現顯著正相關(女性r = 0.253 ~ 0.346,p < .05)。此外,室外空氣中懸浮微粒PM_(2.5)濃度與男性學生800/1600公尺跑走秒數呈現顯著正相關(r = 0.252 ~ 0.383,p < .05);與男女性學生1分鐘屈膝仰臥起坐次數呈現顯著負相關(男性r = -0.244 ~ -0.337,p < .05;女性r = -0.305 ~ -0.377,p < .05);與男女性學生坐姿體前彎距離呈現顯著正相關(男性r= 0.244 ~ 0.260,p < .05;女性r = 0.247,p < .05);與女性學生身體質量指數呈現顯著正相關(女性r = 0.250 ~ 0.320,p < .05)。結論:本研究顯示臺灣地區室外空氣汙染物懸浮微粒濃度與學生健康體適能檢測成績具有相關性。

並列摘要


Introduction: The adverse health impacts associated with particulate matter air pollution exposure have been thoroughly studied. However, little is known about the effects of ambient particulate matter, specifically PM_(10) (particulate matter less than 10 μm in diameter) and PM_(2.5) (particulate matter less than 2.5 μm in diameter), on health-related physical fitness performance. This study explored the association of PM_(10) and PM_(2.5) concentrations with health-related physical fitness measurements in Taiwanese school-aged children and adolescents. Methods: We conducted an ecological study and calculated the annual average concentration of two outdoor particulate matter air pollutants (i.e., PM_(10) and PM_(2.5)) by using data for the period 2006-2010 from the 70 air quality monitoring stations operated by the Taiwan Environmental Protection Administration. Health-related physical fitness measurements were obtained from a national survey conducted by the Taiwan Ministry of Education among elementary school students (n = 169,206) from the fourth through eighth grades during the period 2007-2011. The annual average values of health-related physical fitness measurements were calculated and assessed on the basis of five components: aerobic endurance (800-/1600-m run), muscular strength and endurance (bent-leg sit-ups), flexibility (sit-and-reach), explosive power (standing long jump), and body composition (body mass index [BMI]). Pearson correlation coefficients were used to analyze the relationship of PM_(10) and PM_(2.5) concentrations with health-related physical fitness measurements. Results: The Pearson correlation coefficients for PM_(10) concentrations and 800-/1600-m runs were 0.268 to 0.403 (p < .05) in male students. For the bent-leg sit-up data, the coefficients were -0.299 to -0.319 (p < .05) in male students and -0.080 to -0.316 (p < .05) in female students. For the sit-and-reach data, the coefficients were 0.251 to 0.312 (p < .05) in male students and 0.251 to 0.294 (p < .05) in female students. For the standing long jump data, the coefficient was -0.276 (p < .05) in female students. For the BMI data, the coefficients were 0.253 to 0.346 (p < .05) in female students. In addition, the Pearson correlation coefficients for PM_(2.5) concentrations and the 800-/1600-m run were 0.252 to 0.383 (p < .05) in male students. For the bent-leg sit-up data, the coefficients were -0.244 to -0.337 (p < .05) in male students and -0.305 to -0.377 (p < .05) in female students. For the sit-and-reach data, the coefficients were 0.244 to 0.260 (p < .05) in male students and 0.247 (p < .05) in female students. For the BMI data, the coefficients were 0.250 to 0.320 (p < .05) in female students. Conclusion: The current study suggests that particulate matter air pollutants adversely affected the health-related physical fitness measurements of Taiwanese school-aged children and adolescents, and that exercising in a polluted environment might not have beneficial effects on the health-related physical fitness performance of Taiwanese school-aged children and adolescents.

參考文獻


王駿濠、蔡佳良(2014)。腦電刺激在運動與認知神經科學之應用。臺灣運動心理學報。14(2),1-13。
簡桂彬(2006)。不同的身體組成對體適能之影響。北體學報。14,95-105。
羅凱暘、吳明城、何健章、謝錦城、童淑琴(2015)。臺灣地區10 ~ 18 歲青少年體適能世代趨勢─1997~2013。大專體育學刊。17(4),443-460。
宋岱芬、張育愷、林季燕(2015)。肥胖與體適能對孩童認知功能之影響。中華體育季刊。29(3),229-236。
施致平、蔡明河(2011)。體適能政策推展現況與檢測成效分析。中華體育季刊。25(4),718-729。

延伸閱讀