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大学生含糖饮料消费与身体体能指数的关联

陆俊波 郭晋 罗燎 包健

陆俊波, 郭晋, 罗燎, 包健. 大学生含糖饮料消费与身体体能指数的关联[J]. 中国学校卫生, 2023, 44(8): 1207-1210. doi: 10.16835/j.cnki.1000-9817.2023.08.020
引用本文: 陆俊波, 郭晋, 罗燎, 包健. 大学生含糖饮料消费与身体体能指数的关联[J]. 中国学校卫生, 2023, 44(8): 1207-1210. doi: 10.16835/j.cnki.1000-9817.2023.08.020
LU Junbo, GUO Jin, LUO Liao, BAO Jian. Association between sugar-sweetened beverage consumption and physical fitness index among college students[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2023, 44(8): 1207-1210. doi: 10.16835/j.cnki.1000-9817.2023.08.020
Citation: LU Junbo, GUO Jin, LUO Liao, BAO Jian. Association between sugar-sweetened beverage consumption and physical fitness index among college students[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2023, 44(8): 1207-1210. doi: 10.16835/j.cnki.1000-9817.2023.08.020

大学生含糖饮料消费与身体体能指数的关联

doi: 10.16835/j.cnki.1000-9817.2023.08.020
详细信息
    作者简介:

    陆俊波(1983-), 男, 贵州遵义人, 硕士, 副教授, 主要研究方向为体质健康促进

    通讯作者:

    郭晋, E-mail: jgopu651@126.com

  • 利益冲突声明  所有作者声明无利益冲突。
  • 中图分类号: TS275.3 R155.1 R153.2

Association between sugar-sweetened beverage consumption and physical fitness index among college students

  • 摘要:   目的  探索大学生含糖饮料消费状况及其与身体体能的关联, 为大学生身体体能的提高和干预提供参考。  方法  2021年9—12月, 采用多阶段分层随机整群抽样方法, 在吉林、安徽、江西、新疆、上海对5 520名大学生进行含糖饮料消费与身体体能各指标的调查和测试。采用单因素方差分析和Logistic回归分析的方法, 分析含糖饮料消费与身体体能指数(PFI)之间的关联。  结果  大学生含糖饮料消费频次0, 1~3, 4~5, ≥6次/周的比例分别为10.3%, 67.2%, 13.9%, 8.6%。不同含糖饮料消费频次大学生的腰围、握力、立定跳远、坐位体前屈、50 m跑、1 000/800 m跑成绩相比较, 差异均有统计学意义(F值分别为8.67, 7.22, 11.20, 13.47, 3.98, 2.86, P值均<0.05)。Logistic回归分析结果显示, 与大学生含糖饮料消费0次/周者相比, 消费4~5, ≥6次/周者发生PFI不足的风险较高(OR值分别为1.48, 1.56, P值均<0.05)。男生含糖饮料消费≥6次/周者发生PFI不足的风险也较高(OR=2.01, P<0.05), 而女生中两者关联无统计学意义。  结论  中国大学生含糖饮料消费与PFI呈负相关, 且存在性别差异。应针对大学生, 尤其男生, 提高健康素养水平, 减少含糖饮料的消费量, 提高身体体能水平。
    1)  利益冲突声明  所有作者声明无利益冲突。
  • 表  1  每周不同含糖饮料消费频次大学生各特征分布比较

    Table  1.   Comparison of distribution of characteristics of college students with different consumption frequencies of sugary drinks in a week

    消费频次/次 人数 性别 早餐/(次·周-1) 视屏时间/(min·d-1) 睡眠持续时间/(h·d-1)
    男生 女生 0 1~3 4~5 ≥6 <60 60~120 >120 <7 7~8 >8
    0 567 285(50.3) 282(49.7) 71(12.5) 84(14.8) 91(16.0) 321(56.6) 79(13.9) 53(9.3) 435(76.7) 165(29.1) 343(60.5) 59(10.4)
    1~3 3 710 1 485(40.0) 2 225(60.0) 185(5.0) 800(21.6) 1 100(29.6) 1 625(43.8) 160(4.3) 322(8.7) 3 228(87.0) 999(26.9) 2 408(64.9) 303(8.2)
    4~5 769 361(46.9) 408(53.1) 57(7.4) 193(25.1) 246(32.0) 273(35.5) 26(3.4) 55(7.2) 688(89.5) 225(29.3) 472(61.4) 72(9.4)
    ≥6 474 241(50.8) 233(49.2) 70(14.8) 95(20.0) 128(27.0) 181(38.2) 26(5.5) 39(8.2) 409(86.3) 157(33.1) 259(54.6) 58(12.2)
    注:()内数字为构成比/%。
    下载: 导出CSV

    表  2  每周不同含糖饮料消费频次大学生身体体能比较(x±s)

    Table  2.   Comparison of physical fitness of college students with different consumption frequencies of sugary drinks in a week(x±s)

    消费频次/次 人数 腰围/cm 握力/kg 立定跳远/cm 坐位体前屈/cm 50 m跑/s 1 000 (800 m)跑/s
    0 567 71.73±10.45 36.74±10.48 201.92±34.45 17.19±5.33 8.55±1.13 250.99±27.34
    1~3 3 710 71.80±10.51 35.12±10.45 196.34±32.40 17.08±5.45 8.69±1.10 251.81±26.31
    4~5 769 72.92±11.94 36.25±10.90 201.33±34.33 16.23±5.21 8.60±1.17 253.86±27.61
    ≥6 474 74.23±12.10 36.64±10.91 202.46±34.93 15.70±5.66 8.58±1.18 254.61±30.35
    F 8.67 7.22 11.20 13.47 3.98 2.86
    P <0.01 <0.01 <0.01 <0.01 0.01 0.04
    下载: 导出CSV

    表  3  每周不同含糖饮料消费频次大学生PFI单因素分析[M(P25, P75)]

    Table  3.   Univariate analysis of PFI among college students with different frequency of sugar-sweetened beverage consumption in a week[M(P25, P75)]

    性别 消费频次/次 人数 PFI H P
    0 285 2.13(0.80, 3.66) 6.07 0.11
    1~3 1 485 1.88(0.41, 3.35)
    4~5 361 1.91(0.48, 3.57)
    ≥6 241 1.69(0.19, 3.16)
    0 282 2.31(0.69, 3.67) 5.77 0.12
    1~3 2 225 2.29(1.02, 3.88)
    4~5 408 2.10(0.59, 3.75)
    ≥6 233 2.05(0.79, 3.63)
    合计 0 567 2.16(0.77, 3.66) 9.00 0.03
    1~3 3 710 2.13(0.78, 3.67)
    4~5 769 2.04(0.53, 3.67)
    ≥6 474 1.86(0.48, 3.26)
    下载: 导出CSV

    表  4  大学生每周含糖饮料消费与PFI关系Logistic回归分析[OR值(95%CI)]

    Table  4.   Logistic regression analysis of sugary drink consumption in a week and PFI among college students[OR(95%CI)]

    性别 消费频次/次 粗模型 模型1 模型2
    1~3 1.40(0.92~2.13) 1.35(0.89~2.06) 1.33(0.87~2.03)
    (n=2 372) 4~5 1.72(1.06~2.79)* 1.62(0.99~2.62) 1.56(0.96~2.55)
    ≥6 2.34(1.42~3.86)* 2.13(1.29~3.54)* 2.01(1.21~3.35)*
    1~3 1.00(0.69~1.46) 0.97(0.67~1.41) 0.99(0.68~1.44)
    (n=3 148) 4~5 1.44(0.93~2.22) 1.39(0.90~2.15) 1.36(0.87~2.12)
    ≥6 1.29(0.79~2.12) 1.23(0.75~2.02) 1.18(0.71~1.95)
    总体 1~3 1.17(0.89~1.55) 1.16(0.88~1.53) 1.17(0.88~1.54)
    (n=5 520) 4~5 1.57(1.14~2.17)* 1.52(1.10~2.10)* 1.48(1.06~2.05)*
    ≥6 1.74(1.23~2.47)* 1.64(1.15~2.33)* 1.56(1.10~2.23)*
    注:*P<0.05。
    下载: 导出CSV
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出版历程
  • 收稿日期:  2023-01-28
  • 修回日期:  2023-05-22
  • 网络出版日期:  2023-08-26
  • 刊出日期:  2023-08-25

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