
浏览全部资源
扫码关注微信
830000 乌鲁木齐,新疆医科大学第四临床医学院
[李风森,E-mail:fengsen602@163.com LI Fengsen, E-mail: fengsen602@163.com
收稿:2021-05-16,
修回:2021-08-08,
纸质出版:2021-11-30
移动端阅览
王益德, 李争, 徐丹, 等. 新疆墨玉县乡村地区慢性阻塞性肺疾病患病现况及影响因素分析[J]. 第三军医大学学报, 2021,43(22):2485-2494.
Yide WANG, Zheng LI, Dan XU, et al. Prevalence and influencing factors of chronic obstructive pulmonary disease in rural areas of Moyu County, Xinjiang[J]. Journal of Third Military Medical University, 2021, 43(22): 2485-2494.
王益德, 李争, 徐丹, 等. 新疆墨玉县乡村地区慢性阻塞性肺疾病患病现况及影响因素分析[J]. 第三军医大学学报, 2021,43(22):2485-2494. DOI: 10.16016/j.1000-5404.202105079.
Yide WANG, Zheng LI, Dan XU, et al. Prevalence and influencing factors of chronic obstructive pulmonary disease in rural areas of Moyu County, Xinjiang[J]. Journal of Third Military Medical University, 2021, 43(22): 2485-2494. DOI: 10.16016/j.1000-5404.202105079.
目的
2
分析中国新疆维吾尔自治区和田地区墨玉县乡村地区慢性阻塞性肺疾病(chronic obstructive pulmonary disease
COPD)现况及影响因素,为当地该病的早期预防和选择干预策略提供科学依据。
方法
2
选择中国西北区域自然人群队列研究中新疆乡村地区的基线调查人群为研究对象。2018年6-12月在维吾尔自治区和田地区墨玉县乡村地区对35岁及以上自然人群进行现场调查,完成受试者调查问卷、体格检查和肺功能测量等数据的收集,最终获得有效样本3 249份。采用Stata 13.0软件进行χ
2
检验、趋势χ
2
检验,采用单因素及多因素二分类Logistic回归分析相关调查因素与COPD患病的关系。
结果
2
当地共有394例(12.13%)受试者被诊断为COPD。40岁以上调查人群COPD患病率为12.59%(95%
CI
:11.45%~13.83%),并且随年龄增长而增加(趋势χ
2
=71.990;
P
<
0.001)。其中40岁以上人群中男性患病率(15.3%)显著高于女性(10.1%),差异具有统计学意义(χ
2
=14.216;
P
<
0.001)。在控制混杂因素后,多因素Logistic回归分析结果显示:高龄(50~<60岁:
OR
=1.800,95%
CI
:1.203~2.694;60~<70岁:
OR
=3.035,95%
CI
:1.986~4.637;≥70岁:
OR
=5.602,95%
CI
:2.419~12.973)、主动吸烟(
OR
=1.422,95%
CI
:1.077~1.877)、使用传统生物燃料或煤(
OR
=2.258,95%
CI
:1.022~4.991)、有肺结核病史(
OR
=2.181,95%
CI
:1.291~3.682)是当地COPD患病的危险因素。较高水平BMI(24.0~<28.0:
OR
=0.611,95%
CI
:0.449~0.830;≥28.0:
OR
=0.470,95%
CI
:0.258~0.858)和使用通风装置(
OR
=0.666,95%
CI
:0.473~0.937)的人群患COPD的风险较低。
结论
2
中国新疆墨玉县乡村地区COPD患病率为12.13%,与国内报道数据基本一致。除高龄、吸烟以外,使用煤或传统生物质作燃料、缺少通风装置以及有肺结核病史与当地COPD患病风险密切相关。
Objective
2
To analyze the status and influencing factors of chronic obstructive pulmonary disease (COPD) in rural areas of Moyu County
in the southern part of Xinjiang
and to provide scientific basis for early prevention and intervention strategies.
Methods
2
The baseline survey population in rural Xinjiang of the Natural Population Cohort Study in Northwest China was selected as the research object. A field survey was conducted from June to December 2018 in the rural areas of Moyu County
among the natural population aged 35 to 74
and the results of a questionnaire
physical examination and lung function measurement were collected. Finally
3 249 valid samples were obtained. Stata 13.0 software was used for
Chi
-square test and trend
Chi
-square test. Univariate and multivariate binary logistic regression were adopted to analyze the correlation between related investigation factors and COPD.
Results
2
A total of 394 subjects (12.13%) were diagnosed with COPD. The prevalence of COPD was 12.59% (95%
CI
: 11.45%~13.83%) in subjects over 40 years old
it was increased with age (
Chi
-square trend=71.990
P
<
0.001)
and that of men was significantly higher than that of women (15.3% vs 10.1%
Chi
-square=14.216
P
<
0.001). After controlling confounding factors
multivariate logistic regression analysis showed that advanced age (50~
<
60 years old:
OR
=1.800
95%
CI
: 1.203~2.694; 60~
<
70 years old:
OR
=3.035
95%
CI
: 1.986~4.637; ≥70 years old:
OR
=5.602
95%
CI
: 2.419~12.973)
active smoking (
OR
=1.422
95%
CI
: 1.077~1.877)
use of traditional biofuels or coal (
OR
=2.258
95%
CI
: 1.022~4.991)
and a history of tuberculosis (
OR
=2.181
95%
CI
: 1.291~3.682) were independent risk factors for local COPD. People with higher BMI (24.0~
<
28.0:
OR
=0.611
95%
CI
: 0.449~0.830; ≥28.0:
OR
=0.470
95%
CI
: 0.258~0.858) and using ventilation devices (
OR
=0.666
95%
CI
: 0.473~0.937) had a lower risk of COPD.
Conclusion
2
The prevalence of COPD in rural areas of Moyu County is 12.13%
basically consistent with the domestic reports. In addition to the common risk factors like advanced age and smoking
the use of traditional biofuels or coal
lack of ventilation
and a history of tuberculosis are also closely associated with the risk of local COPD.
SINGH D, AGUSTI A, ANZUETO A, et al . Global strategy for the diagnosis, management, and prevention of chronic obstructive lung disease: the GOLD science committee report 2019[J ] . Eur Respir J, 2019, 53(5). DOI: 10.1183/13993003.00164-2019.DOI:10.1183/13993003.00164-2019.
NIKOLAOU V, MASSARO S, FAKHIMI M, et al . COPD phenotypes and machine learning cluster analysis: a systematic review and future research agenda[J ] . Respir Med, 2020, 171: 106093. DOI: 10.1016/j.rmed.2020.106093.
RAJU S, BRIGHAM E P, PAULIN L M, et al . The burden of rural chronic obstructive pulmonary disease: analyses from the national health and nutrition examination survey[J ] . Am J Respir Crit Care Med, 2020, 201(4): 488-491. DOI: 10.1164/rccm.201906-1128le.
SUTRADHAR I, DAS GUPTA R, HASAN M, et al . Prevalence and risk factors of chronic obstructive pulmonary disease in Bangladesh: a systematic review[J ] . Cureus, 2019, 11(1): e3970. DOI: 10.7759/cureus.3970.
WUBULI A, XUE F, JIANG D, et al . Socio-demographic predictors and distribution of pulmonary tuberculosis (TB) in Xinjiang, China: a spatial analysis[J ] . PLoS ONE, 2015, 10(12): e0144010. DOI: 10.1371/journal.pone.0144010.
CHEN H, HE L, HUANG H, et al . Mycobacterium tuberculosis lineage distribution in Xinjiang and Gansu provinces, China[J ] . Sci Rep, 2017, 7(1): 1068. DOI: 10.1038/s41598-017-00720-9.
赵珍, 刘年强, 依帕尔·艾海提, 等. 2008—2018年新疆维吾尔自治区肺结核空间流行病学特征分析[J]. 中国防痨杂志, 2019, 41(08): 893-899. DOI: 10.3969/j.issn.1000-6621.2019.08.017.
ZHAO Z, LIU N Q, YIPAER A, et al . Epidemiological and spatial distribution characteristics of tuberculosis in Xinjiang Uygur Autonomous Region from 2008 to 2018[J ] . Chin J Anti tubercul, 2019, 41(8): 893-899. DOI: 10.3969/j.issn.1000-6621.2019.08.017.
凌敏, 荣艳, 苟安栓, 等. 新疆乡村地区慢性阻塞性肺疾病的危险因素调查[J]. 中华结核和呼吸杂志, 2011(09): 666-668. DOI:CNKI:SUN:ZHJH.0.2011-09-018.
CNKI: SUN: ZHJH. 0.2011-09-018. LING M, RONG Y, GOU A S, et al . The risk factors for chronic obstructive pulmonary disease in Xinjiang rural areas[J ] . Chin J Tubercul Resp Dis, 2011(09): 666-668. DOI:CNKI:SUN:ZHJH.0.2011-09-018 .
SARKAR M, SRINIVASA, MADABHAVI I, et al . Tuberculosis associated chronic obstructive pulmonary disease[J ] . Clin Respir J, 2017, 11(3): 285-295. DOI:10.1111/crj.12621.
FERNANDES L, RANE S, MANDREKAR S, et al . Eosinophilic airway inflammation in patients with stable biomass smoke- versus tobacco smoke-associated chronic obstructive pulmonary disease[J ] . J Health Pollut, 2019, 9(24): 191209. DOI: 10.5696/2156-9614-9.24.191209.
FANG L, GAO P, BAO H, et al . Chronic obstructive pulmonary disease in China: a nationwide prevalence study[J ] . Lancet Respir Med, 2018, 6(6): 421-430. DOI: 10.1016/s2213-2600(18)30103-6.
ZHOU M, WANG H, ZENG X, et al . Mortality, morbidity, and risk factors in China and its provinces, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017[J ] . Lancet, 2019, 394(10204): 1145-1158. DOI: 10.1016/s0140-6736(19)30427-1.
兰丰铃, 王胜锋, 曹卫华, 等. 慢性阻塞性肺疾病危险因素流行病学研究新进展[J]. 中华疾病控制杂志, 2014, 18(10): 998-1002.
LAN F L, WANG S F, CAO W H, et al . A review of the risk factors of epidemiology of chronic obstructive pulmonary disease[J ] . Chin J Dis Contr Prev, 2014, 18(10): 998-1002.
MERCADO N, ITO K, BARNES P J. Accelerated ageing of the lung in COPD: new concepts[J]. Thorax, 2015, 70(5): 482-489. DOI: 10.1136/thoraxjnl-2014-206084.
WANG C, XU J, YANG L, et al . Prevalence and risk factors of chronic obstructive pulmonary disease in China (the China Pulmonary Health[CPH ] study): a national cross-sectional study[J ] . Lancet, 2018, 391(10131): 1706-1717. DOI: 10.1016/s0140-6736(18)30841-9.
ZHOU Y, WANG C, YAO W, et al . COPD in Chinese nonsmokers[J ] . Eur Respir J, 2009, 33(3): 509-518. DOI: 10.1183/09031936.00084408.
GAN W Q, FITZGERALD J M, CARLSTEN C, et al . Associations of ambient air pollution with chronic obstructive pulmonary disease hospitalization and mortality[J ] . Am J Respir Crit Care Med, 2013, 187(7): 721-727. DOI: 10.1164/rccm.201211-2004oc.
ZHOU Y, ZOU Y, LI X, et al . Lung function and incidence of chronic obstructive pulmonary disease after improved cooking fuels and kitchen ventilation: a 9-year prospective cohort study[J ] . PLoS Med, 2014, 11(3): e1001621. DOI: 10.1371/journal.pmed.1001621.
SANA A, SOMDA S M A, MEDA N, et al . Chronic obstructive pulmonary disease associated with biomass fuel use in women: a systematic review and meta-analysis[J ] . BMJ Open Respir Res, 2018, 5(1): e000246. DOI: 10.1136/bmjresp-2017-000246.
LIU S, ZHOU Y, WANG X, et al . Biomass fuels are the probable risk factor for chronic obstructive pulmonary disease in rural South China[J ] . Thorax, 2007, 62(10): 889-897. DOI: 10.1136/th x.2006.061457.
李怡, 厚银环, 桑迎竹, 等. 沙尘天气致呼吸系统损伤及其机制的研究进展[J]. 中国临床新医学, 2020, 13(10): 1056-1061. DOI: 10.3969/j.issn.1674-3806.2020.10.25.
LI Y, HOU Y H, SANG Y Z, et al . Research progress of respiratory system injury caused by dust weather and its mechanism[J ] . Chin J New Clin Med, 2020, 13(10): 1056-1061. DOI: 10.3969/j.issn.1674-3806.2020.10.25.
ZHENG Y L, ZHANG L P, ZHANG X L, et al . Forecast model analysis for the morbidity of tuberculosis inXinjiang, China[J ] . PLoS ONE, 2015, 10(3): e0116832. DOI: 10.1371/journal.pone.0116832.
MAIMAITI R, ZHANG Y, PAN K, et al . High prevalence and low cure rate of tuberculosis among patients with HIV in Xinjiang, China[J ] . BMC Infect Dis, 2017, 17(1): 15. DOI: 10.1186/s12879-016-2152-4.
HE X, CAO M, MAHAPATRA T, et al . Burden of tuberculosis in Xinjiang between 2011 and 2015: A surveillance data-based study[J ] . PLoS ONE, 2017, 12(11): e0187592. DOI: 10.1371/journal.pone.0187592.
0
浏览量
0
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621