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新疆维吾尔自治区部分地区18岁及以上居民超重和肥胖流行特征及影响因素

夏依达·乌斯满江,  夏木斯叶·木依都力,  依力夏提·库来西,  沙吾拉西·热加甫,  买迪娜·阿布都斯力木,  阿不力米提·木合塔尔,  张思雨,  丁咏琪,  张荣

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文章导航 > 中华疾病控制杂志  > 2025 >  29(5): 558-562
夏依达·乌斯满江, 夏木斯叶·木依都力, 依力夏提·库来西, 沙吾拉西·热加甫, 买迪娜·阿布都斯力木, 阿不力米提·木合塔尔, 张思雨, 丁咏琪, 张荣. 新疆维吾尔自治区部分地区18岁及以上居民超重和肥胖流行特征及影响因素[J]. 中华疾病控制杂志, 2025, 29(5): 558-562. doi: 10.16462/j.cnki.zhjbkz.2025.05.009
引用本文: 夏依达·乌斯满江, 夏木斯叶·木依都力, 依力夏提·库来西, 沙吾拉西·热加甫, 买迪娜·阿布都斯力木, 阿不力米提·木合塔尔, 张思雨, 丁咏琪, 张荣. 新疆维吾尔自治区部分地区18岁及以上居民超重和肥胖流行特征及影响因素[J]. 中华疾病控制杂志, 2025, 29(5): 558-562. doi: 10.16462/j.cnki.zhjbkz.2025.05.009
shu
XIAYIDA Wusimanjiang, XIAMUSIYE Muyiduli, YILIXIATI Kulaixi, SHAWULAXI Rejiafu, MAIDINA Abudusilimu, ABULIMITI Muhetaer, ZHANG Siyu, DING Yongqi, ZHANG Rong. Analysis of the epidemic characteristics and influencing factors of residents aged 18 and above overweight and obesity in some regions of the Xinjiang Uygur Autonomous Region[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2025, 29(5): 558-562. doi: 10.16462/j.cnki.zhjbkz.2025.05.009
Citation: XIAYIDA Wusimanjiang, XIAMUSIYE Muyiduli, YILIXIATI Kulaixi, SHAWULAXI Rejiafu, MAIDINA Abudusilimu, ABULIMITI Muhetaer, ZHANG Siyu, DING Yongqi, ZHANG Rong. Analysis of the epidemic characteristics and influencing factors of residents aged 18 and above overweight and obesity in some regions of the Xinjiang Uygur Autonomous Region[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2025, 29(5): 558-562. doi: 10.16462/j.cnki.zhjbkz.2025.05.009
shu

新疆维吾尔自治区部分地区18岁及以上居民超重和肥胖流行特征及影响因素

doi: 10.16462/j.cnki.zhjbkz.2025.05.009
  • 1.

    新疆医科大学公共卫生学院流行病与卫生统计学教研室，乌鲁木齐 830054

  • 2.

    新疆维吾尔自治区疾病预防控制中心慢性非传染性疾病防治所，乌鲁木齐 830002

基金项目: 

“天山英才”医药卫生高层次人才培养计划 TSYC202301B159

详细信息
    通讯作者:

    张荣，E-mail: zhangrxj@163.com

  • 中图分类号: R181.3+8;R589.2

Analysis of the epidemic characteristics and influencing factors of residents aged 18 and above overweight and obesity in some regions of the Xinjiang Uygur Autonomous Region

  • 1.

    Department of Epidemiology and Health Statistics, School of Public Health, Xinjiang Medical University, Urumqi 830054, China

  • 2.

    Xinjiang Uygur Autonomous Region Center for Disease Control and Prevention of Chronic Noncommunicable Diseases, Urumqi 830002, China

Funds: 

"Tianshan Talents" Talent Development Program for Medical and Health Professionals TSYC202301B159

More Information

    摘要
  • 摘要:   目的   了解新疆维吾尔自治区(简称新疆)部分地区≥18岁居民超重和肥胖的流行特征及影响因素，为制定相关预防与控制策略及措施提供参考依据。   方法   以2023年中国居民慢性病及危险因素监测项目为基础，在新疆8个监测点选取4 933名≥18岁常住居民作为研究对象，对其进行身体测量和问卷调查。采用SAS 9.4软件进行数据分析，通过χ2检验比较不同组别间的分类变量差异，采用多因素logistic回归分析模型分析超重和肥胖患病的影响因素。   结果   新疆≥18岁居民肥胖率为34.38 %(1 696/4 933)，超重率为38.15%(1 882/4 933)。多因素logistic回归分析模型分析结果显示，45~＜60岁年龄组(超重：OR=1.90, 95% CI: 1.57~2.29; 肥胖：OR=2.06, 95% CI: 1.71~2.49)、已婚(超重：OR=1.46, 95% CI: 1.17~1.81;肥胖：OR=1.54, 95% CI: 1.22~1.94)、体力劳动(超重：OR=1.46, 95% CI: 1.11~1.92; 肥胖：OR=1.47, 95% CI: 1.10~1.98)与超重和肥胖发生风险呈正相关，差异均有统计学意义(均P＜0.05)。   结论   新疆≥18岁居民超重率、肥胖率较高，45~＜60岁年龄组、已婚和体力劳动是超重、肥胖的危险因素。应开展精准健康宣教，优化公共卫生服务供给，从生活方式、饮食运动等多维度减少肥胖风险。
    Abstract:   Objective   The purpose of this study is to understand the epidemiological characteristics and influencing factors of overweight and obesity among residents aged 18 and above in some regions of the Xinjiang Uygur Autonomous Region, and to provide reference for the relevant prevention and control strategies and measures.   Methods   Based on the Chronic Disease and Risk Factor Surveillance Program for Chinese Resident in 2023, 4 933 permanent residents ≥18 years of age were selected as the study subjects at 8 monitoring sites in the Xinjiang, and were subjected to body measurements and questionnaires. SAS 9.4 software was used for data analysis. The differences in categorical variables between different groups were compared by chi-square test. Multifactorial logistic regression analysis model was used to analyze the influencing factors of the prevalence of overweight and obesity.   Results   The prevalence rates of overweight and obesity among the surveyed subjects in this study were 38.15% (1 882/4 933) and 34.38% (1 696/4 933), respectively. The results of multivariate logistic analysis showed that the age group of 45- < 60 (overweight: OR=1.90, 95% CI: 1.57-2.29; obesity: OR=2.06, 95% CI: 1.71-2.49), married (overweight: OR=1.46, 95% CI: 1.17-1.81; obesity: OR=1.54, 95% CI: 1.22-1.94), and physical labor (overweight: OR=1.46, 95% CI: 1.11-1.92; obesity: OR=1.47, 95% CI: 1.10-1.98) were positively correlated with the risk of overweight and obesity (all P < 0.05).   Conclusions   The overweight and obesity rates among adult residents in Xinjiang are relatively high. The age group of 45- < 60, married and physical labor are among the risk factors for overweight and obesity. Precise health education and publicity should be carried out, and family health intervention models should be explored to block the risks of obesity from multiple dimensions, including lifestyle, diet and physical exercise.
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  • 表  1  不同特征成年居民的超重和肥胖分布

    Table  1.   Distribution of overweight and obesity among adult residents with different characteristics

    变量
    Variable    		 人数
    Number of people ①    		 正常体重
    Normal weight ①    		 超重
    Overweight ①    		 肥胖
    Obese ①    		 χ2值
    value    		 P值
    value
    性别Gender 8.267 0.016
      男Male 2 184(44.27) 593(27.15) 879(40.25) 712(32.60)
      女Female 2 749(55.73) 762(27.72) 1 003(36.49) 984(35.79)
    年龄组/岁Age group/years 105.237 ② ＜0.001
      18~ < 45 1 299(26.33) 458(35.26) 438(33.72) 403(31.02)
      45~ < 60 1 805(36.59) 364(20.17) 711(39.39) 730(40.44)
      ≥60 1 829(37.08) 533(29.14) 733(40.08) 563(30.78)
    文化程度Educational level 27.953 ＜0.001
      初中及以下Junior high school and below 3 809(77.21) 1 008(26.46) 1 418(37.23) 1 383(36.31)
      高中及以上Senior high school and above 1 124(22.79) 347(30.87) 464(41.28) 313(27.85)
    婚姻状况Marital status 39.607 ＜0.001
      已婚Married 4 384(88.87) 1 143(26.07) 1 695(38.66) 1 546(35.27)
      未婚Unmarried 549(11.13) 212(38.62) 187(34.06) 150(27.32)
    职业Occupation 28.431 ＜0.001
      脑力劳动Mental work 459(9.30) 172(37.47) 166(36.17) 121(26.36)
      体力劳动Physical work 4 474(90.70) 1 183(26.44) 1 716(38.35) 1 575(35.21)
    中心性肥胖Central obesity 2 370.209 ② ＜0.001
      正常Normal 918(18.64) 763(83.12) 147(16.01) 8(0.87)
      中心性肥胖前期Pre central obesity 717(14.55) 284(39.61) 400(55.79) 33(4.60)
      中心性肥胖期Central obesity phase 3 291(66.81) 308(9.36) 1 330(40.41) 1 653(50.23)
    吸烟Smoking 5.224 0.073
      否No 3 803(77.09) 1 045(27.48) 1 422(37.39) 1 336(35.13)
      是Yes 1 130(22.91) 310(27.43) 460(40.71) 360(31.86)
    饮酒Drinking 4.782 0.092
      否No 4 001(81.11) 1 117(27.92) 1 498(37.44) 1 386(34.64)
      是Yes 932(18.89) 238(25.54) 384(41.20) 310(33.26)
    蔬菜水果摄入不足Insufficient intake of vegetables and fruits 1.709 0.426
      否No 2 456(49.79) 680(27.69) 953(38.80) 823(33.51)
      是Yes 2 477(50.21) 675(27.25) 929(37.51) 873(35.24)
    合计Total 4 933(100.00) 1 355(27.47) 1 882(38.15) 1 696(34.38)
    注：①以人数(占比/%)表示; ②趋势χ2检验。
    Note: ① Number of people (proportion/%); ② Trend chi square test.
    下载: 导出CSV

    表  2  超重和肥胖影响因素的多因素logistic回归

    Table  2.   Multivariate logistic regression of factors influencing overweight and obesity

    变量Variable 超重Overweight 肥胖Obese
    β值
    value    		 sx值
    value    		 Wald χ2值value OR值value
    (95% CI)    		 P值
    value    		 β值
    value    		 sx值
    value    		 Wald χ2值value OR值value
    (95% CI)    		 P值
    value
    性别Gender
      男Male   1.00   1.00
      女Female -0.08 0.09 0.91   0.92(0.77~1.09) 0.340 0.06 0.09 0.42   1.06(0.89~1.27) 0.515
    年龄组/岁Age group/years
      18~ < 45   1.00   1.00
      45~ < 60 0.64 0.10 44.93   1.90(1.57~2.29) < 0.001 0.72 0.10 56.19   2.06(1.71~2.49) < 0.001
      ≥60 0.31 0.09 11.38   1.36(1.14~1.63) < 0.001 0.09 0.10 0.83   1.09(0.91~1.31) 0.362
    文化程度Educational level
      初中及以下Junior high school and below   1.00   1.00
      高中及以上Senior high school and above 0.15 0.10 2.42   1.17(0.96~1.41) 0.120 -0.24 0.11 5.09   0.79(0.64~0.97) 0.024
    婚姻状况Marital status
      未婚Married   1.00   1.00
      已婚Unmarried 0.37 0.11 11.42   1.46(1.17~1.81) < 0.001 0.43 0.12 13.50   1.54(1.22~1.94) < 0.001
    职业Occupation
      脑力劳动Mental work   1.00   1.00
      体力劳动Physical work 0.38 0.14 7.37   1.46(1.11~1.92) 0.007 0.39 0.15 6.62   1.47(1.10~1.98) 0.010
    吸烟Smoking
      否No   1.00   1.00
      是Yes -0.09 0.11 0.65   0.92(0.74~1.13) 0.421 -0.17 0.11 2.20   0.85(0.68~1.06) 0.138
    饮酒Drinking
      否No   1.00   1.00
      是Yes 0.20 0.11 3.51   1.22(0.99~1.50) 0.061 0.21 0.11 3.74   1.24(1.00~1.54) 0.053
    蔬菜水果摄入不足Insufficient intake of vegetables and fruits
      否No   1.00   1.00
      是Yes 0.04 0.07 0.27   1.04(0.90~1.20) 0.603 0.10 0.07 1.87   1.11(0.96~1.28) 0.171
    常量Constant -0.69 0.19 13.24 < 0.001 -0.82 0.20 16.28 < 0.001
    注：以不同BMI为因变量，以性别、年龄组、文化程度、婚姻状况、职业、吸烟、饮酒、蔬菜水果摄入不足为自变量。
    Note: Different BMI is taken as the dependent variable, and gender, age group, education level, marital status, occupation, smoking, alcohol consumption, and insufficient intake of vegetables and fruits are taken as independent variables.
    下载: 导出CSV
    • 参考文献(22)
  • [1] Engin A. The definition and prevalence of obesity and metabolic syndrome[J]. Adv Exp Med Biol, 2017, 960: 1-17. DOI: 10.1007/978-3-319-48382-5_1.
    [2] Popkin BM, Adair LS, Ng SW. Global nutrition transition and the pandemic of obesity in developing countries[J]. Nutr Rev, 2012, 70(1): 3-21. DOI: 10.1111/j.1753-4887.2011.00456.x.
    [3] Losurdo G, La Fortezza RF, Iannone A, et al. Prevalence and associated factors of obesity in inflammatory bowel disease: a case-control study[J]. World J Gastroenterol, 2020, 26(47): 7528-7537. DOI: 10.3748/wjg.v26.i47.7528.
    [4] 中国疾病预防控制中心慢性非传染性疾病预防控制中心. 2023年中国居民慢性病及危险因素监测-技术工作手册[R]. 北京: 中国疾病预防控制中心, 2023.

    Chronic Non communicable Disease Prevention and Control Center of the Chinese Center for Disease Control and Prevention. Technical work manual for monitoring chronic diseases and risk factors among Chinese residents in 2023[R]. Beijing: Chinese Center for Disease Control and Prevention, 2023.
    [5] 中华人民共和国卫生部. 人群健康监测人体测量方法: WS/T 424-2013[S/OL]. (2013-04-18)[2024-12-11]. http://www.nhc.gov.cn/ewebeditor/uploadfile/2013/08/20130808141055922.pdf.

    Ministry of Health of the People's Republic of China. Anthropometric measurements method in health surveillance: WS/T 424-2013[S/OL]. (2013-04-18)[2024-12-11]. http://www.nhc.gov.cn/ewebeditor/uploadfile/2013/08/20130808141055922.pdf.
    [6] 国家卫生健康委办公厅. 国家卫生健康委办公厅关于印发成人高尿酸血症与痛风食养指南(2024年版)等4项食养指南的通知[EB/OL]. (2024-02-08)[2024-12-15]. http://www.nhc.gov.cn/sps/s7887k/202402/4a82f053aa78459bb88e35f812d184c3.shtml.
    [7] Liu J, Garstka MA, Chai Z, et al. Marriage contributes to higher obesity risk in China: findings from the China Health and Nutrition Survey[J]. Ann Transl Med, 2021, 9(7): 564. DOI: 10.21037/atm-20-4550.
    [8] Guo SY, Liu FY, Wu QH. Identifying risk factors affecting exercise behavior among overweight or obese individuals in China[J]. Front Public Health, 2023, 11: 1122473. DOI: 10.3389/fpubh.2023.1122473.
    [9] 陶丽丽, 韩晓燕, 任佩佳, 等. 北京市朝阳区职业人群超重及肥胖影响因素研究[J]. 中国健康教育, 2018, 34(8): 714-717. DOI: 10.16168/j.cnki.issn.1002-9982.2018.08.009.

    Tao LL, Han XY, Ren PJ, et al. Study on the associated factors of overweight and obesity among the occupational populations in Chaoyang District, Beijing[J]. Chin J Health Educ, 2018, 34(8): 714-717. DOI: 10.16168/j.cnki.issn.1002-9982.2018.08.009.
    [10] Collaborators G2AB. Global, regional, and national prevalence of adult overweight and obesity, 1990-2021, with forecasts to 2050: a forecasting study for the global burden of disease study 2021[J]. Lancet, 2025, 405(10481): 813-838. DOI: 10.1016/S0140-6736(25)00355-1.
    [11] 袁丙坤, 彭成, 伍成凯, 等. 广州市城镇职工超重肥胖和中心性肥胖现状及影响因素分析[J]. 中国健康教育, 2023, 39(5): 404-409. DOI: 10.16168/j.cnki.issn.1002-9982.2023.05.004.

    Yuan BK, Peng C, Wu CK, et al. Analysis of the current situationPrevalence and influencing factors of overweight, obesity and central obesity among urban workers in Guangzhou[J]. Chinese Journal of Health Education, 2023, 39(5): 404-409. DOI: 10.16168/j.cnki.issn.1002-9982.2023.05.004.
    [12] Tang F, Pan Y, Deng H. Effect of marriage on overweight and obesity: evidence from China[J]. BMC Public Health, 2024, 24(1): 3591. DOI: 10.1186/s12889-024-21184-3.
    [13] Whitton C, Wong YHM, van Dam RM. Longitudinal associations of marital, parenting, and employment transitions with weight gain in a multi-ethnic asian population aged 21 years and above[J]. Int J Environ Res Public Health. 2021, 18(15): 8115. DOI: 10.3390/ijerph18158115.
    [14] 宋孟娜, 程潇, 孔静霞, 等. 我国中老年人超重、肥胖变化情况及影响因素分析[J]. 中华疾病控制杂志, 2018, 22(8): 804-808. DOI: 10.16462/j.cnki.zhjbkz.2018.08.010.

    Song MN, Cheng X, Kong JX, et al. Prevalence and influencing factors of overweight and obesity among middle-aged and elderly people in China[J]. Chin J Dis Control Prev, 2018, 22(8): 804-808. DOI: 10.16462/j.cnki.zhjbkz.2018.08.010.
    [15] Zhang XQ, Du HA, Huang C, et al. Prevalence and associated factors of adult overweight and obesity in Southwestern China[J]. Front Public Health, 2025, 13: 1507467. DOI: 10.3389/fpubh.2025.1507467.
    [16] Wang LM, Zhou B, Zhao ZP, et al. Body-mass index and obesity in urban and rural China: findings from consecutive nationally representative surveys during 2004-18[J]. Lancet, 2021, 398(10294): 53-63. DOI: 10.1016/S0140-6736(21)00798-4.
    [17] 郭向娇, 李建彬, 武恩平, 等. 郑州市成人超重/肥胖流行现状及影响因素分析[J]. 中国健康教育, 2020, 36(4): 336-339. DOI: 10.16168/j.cnki.issn.1002-9982.2020.04.011.

    Guo XJ, Li JB, Wu EP, et al. Analysis on the status of overweight/obesity and its influencing factors among adults in Zhengzhou City[J]. Chinese Journal of Health Education, 2020, 36(4): 336-339. DOI: 10.16168/j.cnki.issn.1002-9982.2020.04.011.
    [18] Li H, Adair T. Analysing premature cardiovascular disease mortality in the United States by obesity status and educational attainment[J]. BMC Med, 2024, 22(1): 533. DOI: 10.1186/s12916-024-03752-x.
    [19] 薛建华, 刘梅, 尤爱军, 等. 上海18 739名职业人员不同类型肥胖特征及其与慢性病指标的关系[J]. 职业卫生与应急救援, 2022, 40(4): 401-406, 423. DOI: 10.16369/j.oher.issn.1007-1326.2022.04.003.

    Xue JH, Liu M, You AJ, et al. Different obesity characteristics and their relationship with indicators of chronic diseases among 18 739 workers in Shanghai[J]. Occup Health Emerg Rescue, 2022, 40(4): 401-406, 423. DOI: 10.16369/j.oher.issn.1007-1326.2022.04.003.
    [20] 陶雅丽, 飒日娜, 刘蓉, 等. 2018年陕西省成人中心性肥胖流行状况及相关因素分析[J]. 中国慢性病预防与控制, 2024, 32(2): 130-133. DOI: 10.16386/j.cjpccd.issn.1004-6194.2024.02.011.

    Tao YL, Sa RN, Liu R, et al. Analysis of the prevalence of central obesity and related factors in adults in Shaanxi Province in 2018[J]. Chin J Prev Contr Chronic Dis, 2024, 32(2): 130-133. DOI: 10.16386/j.cjpccd.issn.1004-6194.2024.02.011.
    [21] Chen YY, Yu W, Lv J, et al. Early adulthood BMI and cardiovascular disease: a prospective cohort study from the China kadoorie biobank[J]. Lancet Public Health, 2024, 9(12): e1005-e1013. DOI: 10.1016/S2468-2667(24)00043-4.
    [22] 符文慧, 罗涛, 裴华莲, 等. 新疆伊犁州35~74岁人群膳食炎症指数与超重/肥胖的关系[J]. 中华疾病控制杂志, 2020, 24(11): 1292-1296. DOI: 10.16462/j.cnki.zhjbkz.2020.11.010.

    Fu WH, Luo T, Pei HL, et al. Relationship between dietary inflammatory index and overweight/obesity in people aged 35-74 years in Yili Prefecture, Xinjiang[J]. Chin J Dis Control Prev, 2020, 24(11): 1292-1296. DOI: 10.16462/j.cnki.zhjbkz.2020.11.010.
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  • 收稿日期:  2024-10-14
  • 修回日期:  2025-01-28
  • 网络出版日期:  2025-06-28
  • 刊出日期:  2025-05-10

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