| 裴华莲,王淑霞,苏银霞,孙勇,刘静波,符文慧,田恬,戴江红,姚华.乌鲁木齐市体检人群不同代谢综合征评分与其行为危险因素聚集关系分析[J].中华流行病学杂志,2020,41(4):514-519 |
| 乌鲁木齐市体检人群不同代谢综合征评分与其行为危险因素聚集关系分析 |
| Co-prevalence relationship analysis on different metabolic syndrome scores and behavioral risk factors in adults from Urumqi based |
| 收稿日期:2019-06-18 出版日期:2020-04-24 |
| DOI：10.3760/cma.j.cn112338-20190618-00446 |
| 中文关键词: 代谢综合征 行为 危险因素 聚集分析 |
| 英文关键词: Metabolic syndrome Behavior Risk factors Aggregation analysis |
| 基金项目:国家重点研发计划（2017YFC0907203）；新疆维吾尔自治区自然科学基金（2017D01C425） |
| 作者 | 单位 | E-mail | | 裴华莲 | 新疆医科大学第一附属医院, 乌鲁木齐 830054
新疆医科大学公共卫生学院, 乌鲁木齐 830011 | | | 王淑霞 | 新疆医科大学健康管理院, 乌鲁木齐 830000 | | | 苏银霞 | 新疆医科大学健康管理院, 乌鲁木齐 830000 | | | 孙勇 | 新疆医科大学健康管理院, 乌鲁木齐 830000 | | | 刘静波 | 冠新软件有限公司, 乌鲁木齐 830000 | | | 符文慧 | 新疆医科大学公共卫生学院, 乌鲁木齐 830011 | | | 田恬 | 新疆医科大学公共卫生学院, 乌鲁木齐 830011 | | | 戴江红 | 新疆医科大学公共卫生学院, 乌鲁木齐 830011 | epi102@sina.com | | 姚华 | 新疆医科大学健康管理院, 乌鲁木齐 830000 | yaohua01@sina.com |
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| 中文摘要: |
| 目的 探讨乌鲁木齐市健康体检人群MS行为危险因素流行及聚集对不同水平MS评分的影响。方法 采用2017年新疆维吾尔自治区(新疆)全民健康体检监测数据库,来自乌鲁木齐市175 927人作为研究对象,采用面对面调查及身体测量收集MS行为危险因素及MS评分等信息,MS评分分为0~5分共6个水平,应用χ2检验、趋势性χ2检验、有序变量Kendall's tau-b相关分析及有序结果的logistic回归分析行为危险因素的流行及聚集情况对MS评分的影响。结果 样本人群中6个水平MS评分构成比分别为23.82%、27.87%、22.41%、16.03%、8.02%、1.85%。MS评分在不同年龄、民族、饮酒量、饮食类型人群中的分布不同,差异有统计学意义(P<0.05)。男性MS评分随过量饮酒率、嗜油/盐率的升高而升高(P<0.01),女性评分随现在吸烟率、嗜油/盐率的升高而升高,而随身体活动不足率的降低而升高(P ≤ 0.01)。男女性MS评分均随着行为危险因素聚集数量的增加而升高(P<0.05)。有序结果的logistic分析发现男性行为危险因素 ≥ 3个组其MS评分是不具有危险因素组的1.15(95%CI:1.06~1.26)倍,女性行为危险因素2个和 ≥ 3个组,分别是不具有危险因素组的1.38(95%CI:1.22~1.55)及2.02(95%CI:1.53~2.66)倍。结论 新疆乌鲁木齐市成年健康体检人群MS疾病行为危险因素聚集越多,MS评分越高,应针对多种不健康行为方式聚集的高危人群采取综合干预措施,以控制MS各个组分的异常,从而防止疾病的发生发展。 |
| 英文摘要: |
| Objective To investigate the influence of the prevalence and co-prevalence of risk factors for metabolic syndrome on the scores of different levels of metabolic syndrome in people receiving physical examination in Urumqi. Methods Using the 2017 Xinjiang Health Examination Database, a total of 175 927 people from 7 districts and 1 county in Urumqi were selected as subjects. Face-to-face survey and body measurements were used to collect cardiovascular risk factors and metabolic syndrome scores. Metabolic syndrome scores were used. For the 0-5 points at 6 levels, χ2, χ2 trend test, correlation analysis of ordered variable Kendall's tau-b, and logistic regression analysis of ordered results were used to analyze the influence of prevalence and co-prevalence of behavioral risk factors on the MS scores. Results The percentages of 6 metabolic syndrome scores in the sample population were 23.82%, 27.87%, 22.41%, 16.03%, 8.02%, and 1.85%, respectively. The scores of metabolic syndrome were different in different age groups, ethnic groups, groups with different drinking rates, and groups with different dietary types, with the differences all significant (P<0.05). The MS score in men increased with the increase of oil/salt rate and excessive drinking rate (P<0.01). The score in women increased with the increase of the current smoking rate, oil/salt rate, and increased with the decrease of physical activity (P ≤ 0.01). There was no significant difference in the distribution of regular drinking rates between different score groups (P>0.05). The scores of metabolic syndrome increased with the increase of risk factors (P<0.05). Ordered results logistic analysis found that in the men with ≥ 3 risk factors and the metabolic syndrome score was 1.15 (1.06-1.26) times higher than that in the men without risk factor, as well as in women with 2 risk factors and ≥ 3 risk factors. The metabolic syndrome scores were 1.38 (1.22-1.55), 2.02 (1.53-2.66) times higher than those in the women without risk factors. Conclusions The physical examination group in Urumqi, the more the metabolic syndrome disease behavior risk factors clustered, the higher the metabolic syndrome score was. Therefore, comprehensive intervention measures should be taken to control the different forms of metabolic syndrome to prevent the occurrence and progress of the disease. |
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