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1.重庆医科大学附属儿童医院呼吸科,国家儿童健康与疾病临床医学研究中心,儿童发育疾病研究教育部重点实验室, 儿童神经发育与认知障碍重庆市重点实验室,重庆 400014
2.重庆医科大学附属儿童医院护理部,重庆 400014
罗 艺,Email:2019120091@stu.cqmu.edu.cn,研究方向:儿童呼吸康复。
吴利平,Email:lipingwu@cqmu.edu.cn。
收稿:2025-09-30,
修回:2026-01-07,
录用:2026-01-13,
纸质出版:2026-05-28
移动端阅览
罗艺,吴利平,刘玉琳.儿童六分钟步行距离预测方程在重庆地区的适用性评价及本土化修正[J].重庆医科大学学报,2026,51(5):715-721.
Luo Yi,Wu Liping,Liu Yulin.Applicability and regional adjustment of the six-minute walk distance prediction equation for children in Chongqing,China[J].Journal of Chongqing Medical University,2026,51(5):715-721.
罗艺,吴利平,刘玉琳.儿童六分钟步行距离预测方程在重庆地区的适用性评价及本土化修正[J].重庆医科大学学报,2026,51(5):715-721. DOI: 10.13406/j.cnki.cyxb.004052.
Luo Yi,Wu Liping,Liu Yulin.Applicability and regional adjustment of the six-minute walk distance prediction equation for children in Chongqing,China[J].Journal of Chongqing Medical University,2026,51(5):715-721. DOI: 10.13406/j.cnki.cyxb.004052.
目的
2
验证香港儿童六分钟步行距离(six-minute walk distance,6MWD)预测方程在重庆地区的适用性,并建立本土化修正方程,形成区域性参考标准。
方法
2
选取重庆市744例7~12岁健康儿童(男358例,女386例),进行标准化的六分钟步行试验(six-minute walk test,6MWT)。系统比较重庆儿童与香港参照人群的生长指标及6MWD分布,并采用配对
t
检验、Bland-Altman一致性分析及均方根误差(root mean square error,RMSE) 等量化香港方程的预测偏差。基于重庆本地数据,以测试前后心率差值(change in heart rate,ΔHR)和身高为自变量,通过多元线性回归建立性别特异性的本土化6MWD预测方程。
结果
2
重庆儿童主要年龄段的体格指标及6MWD实测值低于香港同龄儿童。香港方程预测值明显高估(平均偏差+184.67 m,RMSE=198.16 m)。本土化修正方程分别为:男童,6MWD=251.43+2.14×ΔHR+1.55×身高;女童,6MWD=288.61+1.83×ΔHR+1.30×身高(模型解释度良好,决定系数(
R
²)=0.544/0.479)。新方程预测精度明显提高(RMSE降至50.19 m),与实测值相关性增强(
r
=0.719),
且消除了系统性偏差。
结论
2
香港方程在重庆儿童中适用性较差。本研究构建的重庆本土化修正方程拟合优度良好、预测精准,为建立重庆地区儿童6MWD参考值提供了可靠依据。
Objective
2
To investigate the applicability of the Hong Kong-based six-minute walk distance(6MWD) prediction equation in children in Chongqing,China,to establish locally adapted equations,and to formulate a regional reference standard.
Methods
2
A total of 744 healthy children (358 boys and 386 girls) aged 7-12 years from Chongqing were enrolled,and the standardized six-minute walk test(6MWT) was performed. Growth indicators and 6MWD distribution were systematically compared between the Chongqing cohort and the Hong Kong reference population,and the paired
t
-test,Bland-Altman agreement analysis,and root mean square error (RMSE) were used to quantify the predictive bias of the Hong Kong equation. Based on the local data of Chongqing and with the change in heart rate(ΔHR) and height as independent variables,multiple linear regression was used to establish localized sex-specific 6MWD prediction equations.
Results
2
The Chongqing children generally had lower anthropometric measures and 6MWD measured values in key age groups compared with their Hong Kong peers. The Hong Kong equation significantly overestimated 6MWD in the Chongqing cohort,with a mean bias of +184.67 m and an RMSE of 198.16 m. The newly established localized equations were 6MWD=251.43+2.14×ΔHR+1.55×height for boys and 6MWD=288.61+1.83×ΔHR+1.30×height for girls,with satisfactory model explanation(
R
2
=0.544/0.479). The new equations had a significant improvement in predictive accuracy(RMSE decreased to 50.19 m),a stronger correlation with measured values(
r
=0.719),and the elimination of systematic bias.
Conclusion
2
The Hong Kong-based equation has poor applicability in children in Chongqing. The locally adapted equations for Chongqing developed in this study show a good degree of fitting and accurate prediction,which provides a reliable basis for establishing 6MWD reference values for children in Chongqing.
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