|
|
|
| Establishment and verification of a nomogram model of the risk of hypertension among the Kazakh herders in the Nanshan pastoral area of Xinjiang Uygur Autonomous Region |
| YOU Shuping1 YANG Fei1 TAO Ning2 ZHENG Yanling3 CHEN Qingjie4 XIANG Yang2 FAN Qiongling1 ZHAN Huaifeng5 |
1.College of Nursing, Xinjiang Medical University, Xinjiang Uygur Autonomous Region, Urumqi 830011, China;
2.School of Public Health, Xinjiang Medical University, Xinjiang Uygur Autonomous Region, Urumqi 830011, China;
3.College of Engineering, Xinjiang Medical University, Xinjiang Uygur Autonomous Region, Urumqi 830011, China;
4.Department of Cardrology, the First Affiliated Hospital of Xinjiang Medical University, Xinjiang Uygur Autonomous Region, Urumqi 830011, China;
5.Physical Examination Center of Shuixigou Health Center, Xinjiang Uygur Autonomous Region, Urumqi 830000, China |
|
|
|
Abstract Objective To explore the risk factors of hypertension among Kazakh herders in Nanshan pastoral area of Xinjiang Uygur Autonomous Region, and to construct the corresponding nomogram model. Methods From November 2016 to November 2018, a multi-stage stratified random sampling method was used to select 5213 resident herdsmen ≥18 years old from the Nanshan pastoral area of Urumqi County to collect baseline data, questionnaire surveys, and physical examination results. According to the multivariate logistic regression analysis, the risk factors related to hypertension were selected and determined; R software was used to construct a nomogram for the risk prediction of hypertension. Results The age, pulse rate, waist-to-hip ratio, neck circumference, daily salt intake and pulse pressure difference in the hypertension group were higher than those in the normal blood pressure group (P ＜ 0.05). The proportion of hypertension group with family history of hypertension, overweight and obesity, milk tea overdose, dyslipidemia and diabetes were higher than those of the normal blood pressure group (P ＜ 0.05). Multivariate logistic regression analysis showed that age, overweight and obesity, family history of hypertension, dyslipidemia, neck circumference, pulse rate, pulse pressure difference, and daily salt intake were risk factors for hypertension in Kazakh herders (OR ＞ 1, P ＜ 0.05). Incorporate these factors into and construct a nomogram; the initial C-index of the nomogram model was 0.769 (95%CI: 0.862-0.954), while the C-index was 0.722 (95%CI: 0.656-0.788) after 1000 internal verifications using the repeated Bootstrap self-sampling method. Conclusion The nomogram constructed based on the risk factors of hypertension among the Kazakh herders has good accuracy and clinical application value. It has guiding significance for identifying the high-risk groups of hypertension among the Kazakh herders and formulating intervention countermeasures.
|
|
|
|
|
|
| Cite this article: |
|
YOU Shuping1 YANG Fei1 TAO Ning2 ZHENG Yanling3 CHEN Qingjie4 XIANG Yang2 FAN Qiongling1 ZHAN Huaifeng5. Establishment and verification of a nomogram model of the risk of hypertension among the Kazakh herders in the Nanshan pastoral area of Xinjiang Uygur Autonomous Region[J]. 中国医药导报, 2021, 18(20): 21-24,33.
|
|
|
|
| URL: |
| https://www.yiyaodaobao.com.cn/EN/ OR https://www.yiyaodaobao.com.cn/EN/Y2021/V18/I20/21 |
[1] Wang ZW，Chen Z，Zhang L，et al. Status of hypertension in China：results fromt he china hypertension survey，2012－2015 [J]. Circulation，2018，137（22）：2344-2356.
[2] 韩兴孟，张强，刘志涛，等.云南省多民族居民高血压患病、治疗、控制及自我管理背景调查[J].中华高血压杂志，2018，26（11）：1078-1083.
[3] Wang YL，Zhang JY，Ding YS，et al. Prevalence of hypertension among adults in remote rural areas of Xinjiang，China [J]. Int J Environ Res Public Health，2016，13（6）：524.
[4] Iasonos A，Schrag D，Raj GV，et al. How to build and interpret a nomogram for cancer prognosis? [J] J Clin Oncol，2008，26（8）：1364-1370.
[5] 徐月贞，王家威，刘金宝，等.新疆哈萨克族人群原发性高血压发病风险预测模型构建[J].现代预防医学，2019， 46（16）：2885-2889，2894.
[6] 董英，黄品贤.Cox模型及预测列线图在R软件中的实现[J].数理医药学杂志，2012，25（6）：711-713.
[7] Joint Committee for Guideline Revision. 2016 Chinese guidelines for the management of dyslipidemia in adults [J]. J Geriatr Cardiol，2018，15（1）：1-29.
[8] 诸骏仁，高润霖，赵水平，等.中国成人血脂异常防治指南（2016年修订版）[J].中国循环杂志，2016，31（10）：937-953.
[9] 陈忠山，曲捷，陈世明.乌鲁木齐地区老年肥胖症患病率及与心血管疾病危险因素的相关性[J].中国老年学杂志，2020，40（15）：3326-3330.
[10] 王家威，樊琼玲，张雪莲，等.新疆南山牧区老年农牧民慢性病共病的现状分析[J].现代预防医学，2020，47（17）：3088-3091.
[11] 佟明坤，满塞丽麦，金成，等.千万例体检人群高血压患病率、知晓率、治疗率和控制率的调查[J].中国循环杂志，2020，35（9）：866-872.
[12] Kim J. Dietary zinc intake is inversely associated with systolic blood pressure in young obese women [J]. Nutr Res Pract，2013，7（5）：380-384.
[13] 吴炳义，董惠玲，郭晓宇，等.基于健康促进理论高血压患者影响因素效应分析[J].中国公共卫生，2019，35（4）：1-5.
[14] 史静静，郭航远.老年人血压昼夜节律与认知功能障碍的相关性分析[J].临床心血管病杂志，2018，34（10）：981-986.
[15] 余建红，黄玉玲，袁萍.成都市郫都区居民肥胖与高血压患病率关系的调查分析[J].河南预防医学杂志，2019， 30（11）：811-813.
[16] 汪宏莉，韩一鸣，陈涛，等.高血压预测最佳肥胖指标及其切点值筛选[J].中国公共卫生，2013，29（12）：1752- 1754.
[17] 刘颖姝，刘红阳，谷晓岚，等.高血压及正常高值血压人群中颈围与心血管病危险因素的相关性[J].中华高血压杂志，2019，27（5）：431-436.
[18] 史云聪，王立立，郭艺芳.基因-环境因素相互作用与高血压的关系及其对社区管理的建议[J].中国全科医学，2021，24（2）：138-142.
[19] Mente A，O’Donnell M，Rangarajan S，et al. Associations of urinary sodium excretion with cardiovascular events in individuals with and without hypertension：a pooled analysis of data from four studies [J]. Lancet，2016，388（10043）：465-475.
[20] 中国高血压防治指南修订委员会.中国高血压防治指南2010[J].中华高血压杂志，2011，19（8）：701-743.
[21] Shao S，Hua Y，Yang Y，et al. Salt reduction in China：a state-of-theart review [J]. Risk Manag Healthc Policy，2017，10（22）：17-28.
[22] 田晓文，梁小波.列线图在评估胃肠道间质瘤术后复发风险中的研究进展[J].中华消化外科杂志，2015，14（5）：438-440.
[23] 吴盛喜，罗何三，张晓平，等.胸中段食管癌放化疗后远期生存Nomogram预测模型建立[J].中华肿瘤防治杂志，2018，25（6）：417-421，427.
[24] 王文娟，黄志东，李贵宇，等.老年慢性阻塞性肺疾病急性加重期合并脑梗患者短期死亡风险的列线图模型建立[J].实用医学杂志，2019，35（13）：2128-2132.
[25] Chen X，Chen S，Wang X，et al. Analysis and external validation of a nomogram to predict peritoneal dissemination in gastric cancer [J]. Chin J Cancer Res，2020，32（2）：197-207. |
|
|
|
