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中国成人自报结直肠癌患者生活方式研究

胡亚男 王秋童 何凤蝶 王丹 杨晓莹 王丽敏 王宝华

胡亚男, 王秋童, 何凤蝶, 王丹, 杨晓莹, 王丽敏, 王宝华. 中国成人自报结直肠癌患者生活方式研究[J]. 中华全科医学, 2023, 21(2): 279-282. doi: 10.16766/j.cnki.issn.1674-4152.002864
引用本文: 胡亚男, 王秋童, 何凤蝶, 王丹, 杨晓莹, 王丽敏, 王宝华. 中国成人自报结直肠癌患者生活方式研究[J]. 中华全科医学, 2023, 21(2): 279-282. doi: 10.16766/j.cnki.issn.1674-4152.002864
HU Ya-nan, WANG Qiu-tong, HE Feng-die, WANG Dan, YANG Xiao-ying, WANG Li-min, WANG Bao-hua. Lifestyle study of Chinese adults with self-reported colorectal cancer[J]. Chinese Journal of General Practice, 2023, 21(2): 279-282. doi: 10.16766/j.cnki.issn.1674-4152.002864
Citation: HU Ya-nan, WANG Qiu-tong, HE Feng-die, WANG Dan, YANG Xiao-ying, WANG Li-min, WANG Bao-hua. Lifestyle study of Chinese adults with self-reported colorectal cancer[J]. Chinese Journal of General Practice, 2023, 21(2): 279-282. doi: 10.16766/j.cnki.issn.1674-4152.002864

中国成人自报结直肠癌患者生活方式研究

doi: 10.16766/j.cnki.issn.1674-4152.002864
基金项目: 

国家重点研发计划 2016YFC1302600

详细信息
    通讯作者:

    王宝华, E-mail: baohua2000@126.com

  • 中图分类号: R735.3  R730.231

Lifestyle study of Chinese adults with self-reported colorectal cancer

  • 摘要:   目的  分析中国成人结直肠癌患者生活方式,为结直肠癌防控提供依据。  方法  数据来源于2015年中国慢性病和危险因素监测,在31个省级行政区的298个县(区)中进行多阶段整群随机抽样和现场调查数据库。本研究通过SAS统计学软件进行数据处理、描述和分析,采用描述性分析、χ2检验、多因素非条件logistic回归模型进行统计分析,P<0.05为差异有统计学意义。  结果  共获得108 665份癌症自报有效问卷,其中自报结直肠癌患者118例,男性65例,女性53例,自报率分别为128.45/10万和91.28/10万。45岁及以上、城市、无配偶等人群中结直肠癌自报率较高(均P < 0.05)。调整性别、年龄、教育水平、婚姻状况、家庭年收入等混杂因素后,多因素logistic分析结果显示,蔬菜摄入充足(OR=0.758, 95% CI: 0.748~0.767)、水果摄入充足(OR=0.391, 95% CI: 0.388~0.395)是结直肠癌患病的保护因素(均P<0.05);吸烟(OR=3.707, 95% CI: 3.672~3.742)、饮酒(OR=1.198, 95% CI: 1.189~1.206)是结直肠癌患病的危险因素(均P<0.05)。  结论  蔬菜、水果摄入是结直肠癌患病的保护因素,吸烟、饮酒是结直肠癌患病的危险因素,建议居民健康饮食,保证蔬菜、水果的充足摄入,改变吸烟、饮酒等不良生活习惯,以降低结直肠癌的患病风险。

     

  • 表  1  中国成人自报结直肠癌患者情况不同特征分析

    Table  1.   Analysis of different characteristics of self-reported colorectal cancer patients in Chinese adults

    项目 调查人数 结直肠癌自报人数 自报率(%/10万) χ2 P
    性别 3.443 0.635
      男性 50 604 65 128.45
      女性 58 061 53 91.28
    年龄(岁) 59.631 <0.001
      18~34 16 516 3 18.16
      35~44 17 482 5 28.60
      45~54 27 868 23 82.53
      55~64 25 709 38 147.81
      65~74 15 604 34 218.93
      ≥75 5 486 15 273.43
    地区 1.956 0.376
      东部 39 983 49 122.55
      中部 30 970 35 113.01
      西部 37 712 34 90.16
    城乡 6.696 0.010
      城市 44 378 62 139.71
      乡村 64 287 56 87.11
    民族 3.676 0.055
      汉族 98 480 113 114.74
      其他 10 185 5 49.09
    医疗保险 0.525 0.776
      有 105 630 116 109.82
      无 3 035 2 65.90
    文化程度 0.660 0.881
      文盲 16 317 15 91.93
      初等教育 36 845 42 113.99
      中等教育 47 322 51 107.77
      高等教育 8 181 10 122.23
    婚姻状况 6.176 0.013
      已婚 97 724 98 100.28
      无配偶a 10 941 20 182.80
    职业 106.026 <0.001
      就业 68 538 43 62.74
      退休 20 622 31 150.32
      其他 19 505 44 225.58
    家庭年收入(元) 5.729 0.057
      <10 000 61 843 80 129.36
      10 000~<50 000 33 842 27 79.78
      ≥50 000 12 980 11 84.75
    注:a无配偶指未婚/丧偶/离婚/分居。
    下载: 导出CSV

    表  2  各变量赋值方法

    Table  2.   Variables assignment method

    变量 赋值方法
    结直肠癌 患病=1, 未患病=0
    吸烟 是=1, 否=0
    饮酒 是=1, 否=0
    蔬菜摄入 不足=1, 充足=0
    水果摄入 不足=1, 充足=0
    红肉摄入 过量=1, 正常=0
    下载: 导出CSV

    表  3  中国成人自报结直肠癌影响因素的单因素logistic回归分析

    Table  3.   Univariate logistic regression analysis of factors affecting self-reported colorectal cancer in Chinese adults

    变量 B SE Wald χ2 P OR(95% CI)
    蔬菜摄入充足 -0.073 0.003 129.043 <0.001 0.930(0.918~0.942)
    水果摄入充足 -0.644 0.002 20 312.682 <0.001 0.525(0.520~0.529)
    吸烟 0.914 0.002 40 227.637 <0.001 2.494(2.472~2.517)
    饮酒 0.286 0.002 7 892.851 <0.001 1.331(1.322~1.329)
    红肉摄入过量 0.596 0.002 33 391.932 <0.001 1.814(1.803~1.826)
    下载: 导出CSV

    表  4  中国成人自报结直肠癌影响因素的多因素logistic回归分析

    Table  4.   Multivariate logistic regression analysis of factors affecting self-reported colorectal cancer in Chinese adults

    变量 B SE Wald χ2 P OR(95% CI)
    蔬菜摄入充足 -0.277 0.003 1 813.703 0.007 0.758(0.748~0.767)
    水果摄入充足 -0.939 0.002 41 085.920 <0.001 0.391(0.388~0.395)
    吸烟 1.310 0.002 73 203.477 0.002 3.707(3.672~3.742)
    饮酒 0.181 0.002 2 671.080 0.041 1.198(1.189~1.206)
    红肉摄入过量 0.497 0.140 1.770 0.077 1.644(0.947~2.853)
    注:多因素分析调整了性别、年龄、婚姻状况、职业等个人基本特征混杂因素。
    下载: 导出CSV
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  • 收稿日期:  2022-05-07
  • 网络出版日期:  2023-04-20

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