摘要
目的建立黑龙江省汉族儿童青少年常规肺通气功能的正常参考值和预计方程式。方法检测黑龙江省588名(男292名,女296名)10-18岁汉族健康儿童青少年肺通气功能,测定用力肺活量(FVC)、用力呼气第1秒量(FEV1)等8个常用肺通气指标,通过多元逐步回归求得各指标预计方程式,并与有关预计方程式比较预测值和实测值差异(对本工作人群)。结果无论性别,随年龄增长,FVC和FEV1呈上升趋势(P〈0.001)。从14岁起,男性FVC、FEV1高于女性(P〈0.001)。女性FVC、FEV1突增期发生在12-13岁,较男性(13-14岁)早一个年龄段。肺功能指标与身高、体重和年龄均呈正相关(P〈0.001),与身高的关系最密切。建立了各肺功能指标的预计方程式,与其他预计方程式比较,本方程预计值与实测值差异最小。结论建立了适用于黑龙江省汉族儿童青少年肺通气功能正常值和预计方程式。
Objective To establish lung function reference values and prediction equations in children and adolescents of the Han nationality in Heilongjiang province.Methods A survey in 588 healthy children and adolescents(292 males,296 females) aged 10 to 18 years old was carried out in Heilongjiang province in 2008.Eight flow-volume tests parameters were measured.Stepwise multiple regression was carried out to establish prediction equations for the parameters mentioned above.Results FVC and FEV1,were found,regardless of sex,to tend to go up with the increase of age(P〈0.001).Beginning from the age of 14,male FVC and FEV1 became significantly higher than those of the female(P 〈0.001),the period of a fast increase of the male FVC and FEV1 taking place during the age of 13~14,while that of the female taking place in the age of 12~13,one age bracket earlier than the male.All lung volumes and flow rates,were found,regardless of sex,to tend to go up with the increase of age,height and weight(P〈0.001).The regression equations of lung function were established.By comparison with theequations derived from our study and other authors' reports,it was found that the difference between measured data and predicted values from other authors was higher than those from ours.Conclusion Reference values and prediction equations for forced expiratory lung function applicable for children and adolescents of the Han nationality in Heilongjiang province were established.
出处
《基础医学与临床》
CSCD
北大核心
2010年第5期480-486,共7页
Basic and Clinical Medicine
基金
国家科技部科技基础性工作专项资金重大项目(FY110300)
关键词
肺通气功能
儿童
青少年
汉族
参考值
预计方程式
ventilatory function
children
adolescents
the Han nationality
reference values
prediction equation