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儿童青少年24 h活动行为与肥胖相关指标的关系

汪容佳 武宝爱 郜艳晖 李红娟 张婷

汪容佳, 武宝爱, 郜艳晖, 李红娟, 张婷. 儿童青少年24 h活动行为与肥胖相关指标的关系[J]. 中国学校卫生, 2023, 44(1): 28-31. doi: 10.16835/j.cnki.1000-9817.2023.01.006
引用本文: 汪容佳, 武宝爱, 郜艳晖, 李红娟, 张婷. 儿童青少年24 h活动行为与肥胖相关指标的关系[J]. 中国学校卫生, 2023, 44(1): 28-31. doi: 10.16835/j.cnki.1000-9817.2023.01.006
WANG Rongjia, WU Baoai, GAO Yanhui, LI Hongjuan, ZHANG Ting. Relationship between 24-hour movement behavior and obesity indicators in children and adolescents[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2023, 44(1): 28-31. doi: 10.16835/j.cnki.1000-9817.2023.01.006
Citation: WANG Rongjia, WU Baoai, GAO Yanhui, LI Hongjuan, ZHANG Ting. Relationship between 24-hour movement behavior and obesity indicators in children and adolescents[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2023, 44(1): 28-31. doi: 10.16835/j.cnki.1000-9817.2023.01.006

儿童青少年24 h活动行为与肥胖相关指标的关系

doi: 10.16835/j.cnki.1000-9817.2023.01.006
基金项目: 

北京市教育科学“十三五”规划2019年度重点课题项目 BEAA19045

中央高校基本科研业务费校自主课题项目 2022YB010

详细信息
    作者简介:

    汪容佳(1997-  ),女,甘肃省人,在读硕士,主要研究方向为儿童青少年身体活动与身体成分

    通讯作者:

    李红娟, E-mail:janerobin@126.com

  • 利益冲突声明  所有作者声明无利益冲突。
  • 中图分类号: R179  R723.14  G804.49

Relationship between 24-hour movement behavior and obesity indicators in children and adolescents

  • 摘要:   目的  采用成分数据分析法探讨儿童青少年24 h活动行为与肥胖指标间的关联并探究活动行为间等时替代后指标产生的定量变化,为儿童青少年预防肥胖提供具体的活动行为建议。  方法  2021年6月在山西省太原市1所小学和1所中学按照随机整群抽样方法,从8个班级中选取231名学生。采用ActiGraph GT3X+加速度计测试学生24 h活动行为,采用Inbody J20身体成分分析仪,通过生物电阻抗法(BIA)测试身体成分。使用成分多元线性回归分析探讨各成分与肥胖指标间的关系,采用某一行为的30 min替代另一行为,预测替代后对结局变量产生的变化。  结果  调整身高、体重、年龄、性别等协变量后,相对于久坐行为(SB)、睡眠(SLP)、低强度身体活动(LPA)所花费时间,学生中高强度身体活动(MVPA)所花费时间与去脂体重指数(FFMI)呈正相关(β=0.40)、与腰围(WC)(β=-2.50)和腰臀比(WHR)(β=-0.04)呈负相关;相对于SB、SLP、MVPA所花费时间,LPA所花费时间与WHR(β=0.06)呈正相关(P值均 < 0.05)。30 min/d的MVPA分别替代SLP、SB、LPA,WC和WHR分别降低1.10,1.10,1.34 cm和0.02,0.02,0.02,而FFMI分别增加0.19,0.19,0.15 kg/m2  结论  在24 h活动行为中,久坐行为、睡眠或低强度身体活动时间在现有基础上不再增加,或维持每天的MVPA时间,对儿童青少年控制体重、预防肥胖至关重要,额外增加MVPA时间才会获得额外的健康效益。
    1)  利益冲突声明  所有作者声明无利益冲突。
  • 表  1  学生各行为成分与肥胖相关指标关系的成分线性回归模型(n=231)

    Table  1.   Compositional linear regression models showing the association between time spent on different movement behavior and obesity indicators of students(n=231)

    自变量 FAT% FFMI 腰臀比 腰围
    β值(β值95%CI) P β值(β值95%CI) P β值(β值95%CI) P β值(β值95%CI) P
    MVPA -1.64(-3.83~0.54) 0.14 0.40(0.00~0.80) 0.05 -0.04(-0.07~-0.01) 0.02 -2.50(-4.97~-0.11) 0.04
    LPA -0.80(-3.62~2.02) 0.58 0.21(-0.30~0.73) 0.41 0.06(0.02~0.10) < 0.01 2.08(-1.05~5.21) 0.19
    SB 2.71(-0.09~5.52) 0.06 -0.30(0.08~0.21) 0.25 -0.01(-0.05~0.03) 0.74 0.24(-2.88~3.36) 0.88
    SLP -0.27(-2.69~2.15) 0.83 -0.31(-0.76~0.13) 0.16 -0.02(-0.05~0.02) 0.37 0.22(-2.47~2.91) 0.87
    下载: 导出CSV

    表  2  学生活动行为间一对一成分等时替代(差值, n=231)

    Table  2.   One-to-one compositional isotemporal substitutions of movement behavior among students(d, n=231)

    肥胖相关指标 活动行为 MVPA(+Δ) LPA(+Δ) SB(+Δ) SLP(+Δ)
    腰围 MVPA(-Δ) +2.49* +2.28* +2.28*
    LPA(-Δ) -1.34* -0.24 -0.24
    SB(-Δ) -1.10* +0.21 -0.00
    SLP(-Δ) -1.10* +0.21 -0.00
    腰臀比 MVPA(-Δ) +0.04* +0.03* +0.03*
    LPA(-Δ) -0.02* -0.01* -0.01*
    SB(-Δ) -0.02* +0.01* 0.00
    SLP(-Δ) -0.02* +0.01* 0.00
    FFMI MVPA(-Δ) -0.34* -0.37* -0.37*
    LPA(-Δ) +0.15* -0.04 -0.04
    SB(-Δ) +0.19* +0.04 -0.00
    SLP(-Δ) +0.19* +0.04 +0.00
    注: *P < 0.05;-Δ表示被替代变量;+Δ表示替代变量。
    下载: 导出CSV
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出版历程
  • 收稿日期:  2022-06-11
  • 修回日期:  2022-10-09
  • 网络出版日期:  2023-02-06
  • 刊出日期:  2023-01-25

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