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阿坝州不同民族中学生静态行为与超重肥胖的关联

吴静涛 胡军

吴静涛, 胡军. 阿坝州不同民族中学生静态行为与超重肥胖的关联[J]. 中国学校卫生, 2021, 42(5): 776-779, 784. doi: 10.16835/j.cnki.1000-9817.2021.05.032
引用本文: 吴静涛, 胡军. 阿坝州不同民族中学生静态行为与超重肥胖的关联[J]. 中国学校卫生, 2021, 42(5): 776-779, 784. doi: 10.16835/j.cnki.1000-9817.2021.05.032
WU Jingtao, HU Jun. Relationship between sedentary behavior with overweight and obesity among middle school students of different nationalities in Aba Prefecture[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2021, 42(5): 776-779, 784. doi: 10.16835/j.cnki.1000-9817.2021.05.032
Citation: WU Jingtao, HU Jun. Relationship between sedentary behavior with overweight and obesity among middle school students of different nationalities in Aba Prefecture[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2021, 42(5): 776-779, 784. doi: 10.16835/j.cnki.1000-9817.2021.05.032

阿坝州不同民族中学生静态行为与超重肥胖的关联

doi: 10.16835/j.cnki.1000-9817.2021.05.032
基金项目: 

四川省社科联重点项目 TY2020217

自贡市哲学社会科学年度项目 GT-022020010

国家社科基金项目 17XTY006

详细信息
    作者简介:

    吴静涛(1989-)男,河南新野人,硕士,讲师,主要研究方向为青少年体质监测

    通讯作者:

    胡军,E-mail: 81381812@qq.com

  • 中图分类号: R 723.14 R 179

Relationship between sedentary behavior with overweight and obesity among middle school students of different nationalities in Aba Prefecture

  • 摘要:   目的  分析中学生静态行为与超重或肥胖的关联,为相关部门预防儿童青少年超重肥胖提供政策参考。  方法  采用分层整群抽样法,于2019年10月对阿坝藏族羌族自治州13~18岁1 208名中学生进行问卷调查和体质测试,分析阿坝州不同民族中学生静态行为与超重或肥胖的关联。  结果  藏族学生超重或肥胖检出率(14.0%)高于汉族(8.8%)与羌族(8.2%),初中生(10.5%)高于高中生(8.2%),差异均有统计学意义(χ2值分别为19.34,13.62,P值均<0.05)。二元Logistic回归分析显示,与参照组对比,上网>1 h/d、看课外书>2 h/d、电子游戏>1 h/d、看电视>1 h/d的中学生超重或肥胖检出率(23.7%,19.6%,27.8%,26.7%)明显上升(OR值分别为1.26,1.09,1.38,1.18,P值均<0.05)。  结论  阿坝州不同民族中学生静态行为与超重或肥胖呈正相关,减少静态行为的持续时间有助于预防和防控中学生超重或肥胖的发生。
  • 表  1  不同人口统计学特征中学生体型分布特征比较

    Table  1.   Different demographie-characteristics of middle school student's characteristics of size distribution

    人口统计学特征 选项 人数 消瘦 正常 超重或肥胖 χ2 P
    民族 汉族 558 95(17.0) 414(74.2) 49(8.8) 19.34 <0.05
    羌族 478 100(20.9) 339(70.9) 39(8.2)
    藏族 172 32(18.6) 116(67.4) 24(14.0)
    年龄/岁 13 182 35(19.2) 121(66.5) 26(14.3) 22.85 <0.05
    14 204 37(18.1) 151(74.0) 16(7.8)
    15 184 35(19.0) 132(71.7) 17(9.2)
    16 246 43(17.5) 182(74.0) 21(8.5)
    17 206 44(21.4) 143(69.4) 19(9.2)
    18 186 33(17.7) 140(75.3) 13(7.0)
    学段 初中 571 120(21.0) 391(68.5) 60(10.5) 13.62 <0.05
    高中 637 107(16.8) 478(75.0) 52(8.2)
    性别 672 136(20.2) 475(70.7) 61(9.1) 4.37 0.14
    536 91(17.0) 394(73.5) 51(9.5)
    注: ()内数字为构成比/%。
    下载: 导出CSV

    表  2  不同民族中学生静态行为分布/(h·d-1)

    Table  2.   Different static behavor distribation is nationl high school students/(h·d-1)

    民族 人数 做作业 上网 看课外书 往返交通 电子游戏 看电视
    ≤2 >2 ≤1 >1 ≤2 >2 ≤0.5 >0.5 ≤1 >1 ≤1 >1
    汉族 558 40(7.2) 518(92.8) 84(15.1) 474(84.9) 22(3.9) 536(96.1) 55(9.9) 503(90.1) 50(9.0) 508(91.0) 39(7.0) 519(93.0)
    羌族 478 63(13.2) 415(86.8) 91(19.0) 387(81.0) 105(22.0) 373(78.0) 96(20.1) 382(79.9) 91(19.0) 387(81.0) 96(20.1) 382(79.9)
    藏族 172 37(21.5) 135(78.5) 44(25.6) 128(74.4) 22(12.8) 150(87.2) 43(25.0) 129(75.0) 47(27.3) 125(72.7) 50(29.1) 122(70.9)
    合计 1 208 140(11.6) 1068(88.4) 219(18.1) 989(81.9) 149(12.3) 1059(87.7) 194(16.1) 1014(83.9) 188(15.6) 1020(84.4) 185(15.3) 1023(84.7)
    χ2 28.35 10.62 77.38 31.87 41.01 63.29
    P <0.01 <0.01 <0.01 <0.01 <0.01 <0.01
    注: ()内数字为构成比/%。
    下载: 导出CSV

    表  3  中学生超重或肥胖与静态行为的Logistic回归分析

    Table  3.   Logistic regression analysis of overweight or obese and static behavior of middle school students

    自变量 选项/(h·d-1) 人数 检出人数 模型Ⅰ 模型Ⅱ
    OR OR值95%CI OR OR值95%CI
    做作业 ≤2 211 25(17.5) 1.00 1.00
    >2 259 229(21.4) 1.18 0.81~1.31 1.09 0.93~1.17
    上网 ≤1 196 35(16.2) 1.00 1.00
    >1 286 234(23.7) 1.38 1.09~1.73* 1.26 1.03~1.54*
    看课外书 ≤2 163 20(13.5) 1.00 1.00
    >2 237 208(19.6) 1.12 1.06~1.25* 1.09 1.01~1.37*
    往返交通 ≤0.5 170 27(14.1) 1.00 1.00
    >0.5 260 218(21.5) 1.06 0.93~1.28 1.01 0.92~1.26
    电子游戏 ≤1 249 39(20.6) 1.00 1.00
    >1 336 284(27.8) 1.42 1.18~1.62* 1.38 1.19~1.49*
    看电视 ≤1 233 36(19.3) 1.00 1.00
    >1 233 273(26.7) 1.21 1.08~1.29* 1.18 1.15~1.28*
    注: *P<0.05。模型Ⅰ校正性别、年龄混杂因素; 模型Ⅱ校正性别、民族、年龄、学段混杂因素。()内数字为检出率/%。
    下载: 导出CSV
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出版历程
  • 收稿日期:  2020-12-21
  • 修回日期:  2021-01-13
  • 网络出版日期:  2021-05-20
  • 刊出日期:  2021-05-25

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