Prevalence and influencing factors of dyslipidemia among permanent residents in Longquanyi district, Chengdu_West China Medical Journal

Authors：

LIU Yanyi ¹ ,  MA Li ² , LEI Hong ³ , ZHU Yanzhen ¹

1. Supervision Office, the First People’s Hospital of Longquanyi District of Chengdu, West China Longquan Hospital Sichuan University, Chengdu, Sichuan 610100, P. R. China;
2. Health Management Center, Outpatient Department, West China Hospital, Sichuan University / West China School of Nursing, Sichuan University, Chengdu, Sichuan 610041, P. R. China;
3. Health Examination Department, the First People’s Hospital of Longquanyi District of Chengdu, West China Longquan Hospital Sichuan University, Chengdu, Sichuan 610100, P. R. China;

Corresponding author：

MA Li, Email: 1004500237@qq.com

Keywords：

Dyslipidemia; prevalence rate; epidemic characteristics; influencing factors; Chengdu

DOI：

10.7507/1002-0179.202301115

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Objective To analyze the prevalence and influencing factors of dyslipidemia among permanent residents in Longquanyi district of Chengdu for prevention and control of dyslipidemia. Methods Permanent residents in Longquanyi district were selected as research objects by convenient sampling method between November 2021 and February 2022. The dyslipidemia rate in the population was analyzed, and the influencing factors of dyslipidemia were analyzed by univariate and multivariate logistic regression. Results A total of 11 408 permanent residents were included. Among them, 3650 people had dyslipidemia, with a prevalence rate of 32.00% (3650/11408). The prevalence rates of high total cholesterol, high triglyceride, high low-density lipoprotein cholesterol, and low high-density lipoprotein cholesterol were 19.30% (2 202/11 408), 13.38% (1 526/11 408), 5.05% (576/11 408) and 0.73% (83/11 408), respectively. Multivariate logistic regression analysis showed that female, age≥30 years old, drinking, overweight / obesity, hypertension, diabetes and hyperuricemia were independent risk factors of dyslipidemia among permanent residents (P<0.05). Conclusions The prevalence of dyslipidemia in Longquanyi district is high, mainly with high total cholesterol and high triglyceride. Gender, age, drinking, body mass index, and the levels of blood pressure, blood glucose and blood uric acid are the factors affecting the incidence of dyslipidemia among permanent residents. Early intervention for high-risk groups with dyslipidemia should be adopted to effectively reduce the risk and burden of dyslipidemia.

Citation： LIU Yanyi, MA Li, LEI Hong, ZHU Yanzhen. Prevalence and influencing factors of dyslipidemia among permanent residents in Longquanyi district, Chengdu. West China Medical Journal, 2023, 38(4): 494-499. doi: 10.7507/1002-0179.202301115 Copy

1.	He J, Gu D, Wu X, et al. Major causes of death among men and women in China. N Engl J Med, 2005, 353(11): 1124-1134.
2.	Gencer B, Marston NA, Im K, et al. Efficacy and safety of lowering LDL cholesterol in older patients: a systematic review and meta-analysis of randomised controlled trials. Lancet, 2020, 396(10263): 1637-1643.
3.	李洁, 张萍, 黄楷森, 等. 脑卒中高危人群用药依从性及对预后影响的多中心前瞻性研究. 华西医学, 2022, 37(6): 823-829.
4.	王增武, 胡盛寿. 《中国心血管健康与疾病报告 2019》要点解读. 中国心血管杂志, 2020, 25(5): 401-410.
5.	中国成人血脂异常防治指南修订联合委员会. 中国成人血脂异常防治指南(2016 年修订版). 中华健康管理学杂志, 2017, 11(1): 7-28.
6.	中国肥胖问题工作组. 中国成人超重和肥胖症预防与控制指南(节录). 营养学报, 2004(1): 1-4.
7.	中华医学会糖尿病学分会. 中国 2 型糖尿病防治指南(2017 年版). 中华糖尿病杂志, 2018, 10(1): 4-67.
8.	《中国高血压防治指南》修订委员会. 中国高血压防治指南 2018 年修订版. 心脑血管病防治, 2019, 19(1): 1-44.
9.	刘琼. 湖南省 2018 年成人血脂异常流行特征及其影响因素研究. 衡阳: 南华大学, 2021.
10.	武恩平, 刘奕廷, 李建彬. 2018 年郑州市 18 岁及以上居民血脂异常流行特征及影响因素分析. 中国慢性病预防与控制, 2019, 27(9): 679-683.
11.	GBD 2017 Causes of Death Collaborators. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet, 2018, 392(10159): 1736-1788.
12.	马祥, 刘雅, 欧阳凌云, 等. 成都市居民血脂现况及危险因素分析. 四川医学, 2012, 33(4): 579-581.
13.	胥馨尹, 邓颖, 季奎, 等. 四川省人群健康状况及重点慢性病流行现况. 疾病监测, 2017, 32(1): 6-8.
14.	白华宇. 四川 2021 人群健康大数据公布. 家庭与生活报, 2022-08-11(16).
15.	方欣, 杨泽, 钟文玲, 等. 福建省缺血性心血管病发病风险评估. 中国公共卫生, 2020, 36(8): 1139-1142.
16.	洪忻, 周楠, 苏健, 等. 南京市居民不同血糖代谢分类与血脂异常的关联性. 中华健康管理学杂志, 2021, 15(6): 551-556.
17.	符燕萍, 韦迎娜, 方莲莲, 等. 三亚市健康人群在外就餐现状及其高血压、血脂异常相关性研究. 华南预防医学, 2021, 47(12): 1588-1590, 1593.
18.	周仲芳, 黄素琼, 王小红, 等. 泸州地区体检在职人群血脂异常流行情况及危险因素分析. 现代预防医学, 2021, 48(21): 3990-3995.
19.	李鑫, 陶小娥, 赵廷明, 等. 四川省通江县常住居民血脂异常检出情况及其影响因素分析. 预防医学情报杂志, 2022, 38(1): 113-119, 124.
20.	任雪英. 女性绝经前后性激素与血脂水平变化的临床分析. 中国妇幼保健, 2013, 28(30): 4986-4988.
21.	徐培培, 王书兰, 吕家爱, 等. 2018 年如皋市成人血脂异常情况及危险因素分析. 中国初级卫生保健, 2022, 36(3): 51-53.
22.	Mesalić L, Tupković E, Kendić S, et al. Correlation between hormonal and lipid status in women in menopause. Bosn J Basic Med Sci, 2008, 8(2): 188-192.
23.	唐敏. 围绝经期妇女性激素六项对血脂四项水平的影响和意义. 当代医学, 2021, 27(22): 40-42.
24.	丁婧, 王辉, 余诗灏, 等. 肥胖大鼠模型的建立及其脂代谢相关分子机制研究. 中国实验动物学报, 2012, 20(5): 20-24, 94.
25.	Bloomgarden ZT. Insulin resistance, dyslipidemia, and cardiovascular disease. Diabetes Care, 2007, 30(8): 2164-2170.
26.	张兆余. 高血压患者血液流变学和血脂的变化及与高血压的关系. 中国微循环, 1998, 2(3): 178-179.
27.	刘久波, 陈林, 何晓阔, 等. 血脂与血液流变性的关系及其对高血压的影响. 微循环学杂志, 2006, 16(3): 47-48, 50, 89, 92.
28.	Shan R, Ning Y, Ma Y, et al. Incidence and risk factors of hyperuricemia among 2.5 million Chinese adults during the years 2017-2018. Int J Environ Res Public Health, 2021, 18(5): 2360.

1. He J, Gu D, Wu X, et al. Major causes of death among men and women in China. N Engl J Med, 2005, 353(11): 1124-1134.
2. Gencer B, Marston NA, Im K, et al. Efficacy and safety of lowering LDL cholesterol in older patients: a systematic review and meta-analysis of randomised controlled trials. Lancet, 2020, 396(10263): 1637-1643.
3. 李洁, 张萍, 黄楷森, 等. 脑卒中高危人群用药依从性及对预后影响的多中心前瞻性研究. 华西医学, 2022, 37(6): 823-829.
4. 王增武, 胡盛寿. 《中国心血管健康与疾病报告 2019》要点解读. 中国心血管杂志, 2020, 25(5): 401-410.
5. 中国成人血脂异常防治指南修订联合委员会. 中国成人血脂异常防治指南(2016 年修订版). 中华健康管理学杂志, 2017, 11(1): 7-28.
6. 中国肥胖问题工作组. 中国成人超重和肥胖症预防与控制指南(节录). 营养学报, 2004(1): 1-4.
7. 中华医学会糖尿病学分会. 中国 2 型糖尿病防治指南(2017 年版). 中华糖尿病杂志, 2018, 10(1): 4-67.
8. 《中国高血压防治指南》修订委员会. 中国高血压防治指南 2018 年修订版. 心脑血管病防治, 2019, 19(1): 1-44.
9. 刘琼. 湖南省 2018 年成人血脂异常流行特征及其影响因素研究. 衡阳: 南华大学, 2021.
10. 武恩平, 刘奕廷, 李建彬. 2018 年郑州市 18 岁及以上居民血脂异常流行特征及影响因素分析. 中国慢性病预防与控制, 2019, 27(9): 679-683.
11. GBD 2017 Causes of Death Collaborators. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet, 2018, 392(10159): 1736-1788.
12. 马祥, 刘雅, 欧阳凌云, 等. 成都市居民血脂现况及危险因素分析. 四川医学, 2012, 33(4): 579-581.
13. 胥馨尹, 邓颖, 季奎, 等. 四川省人群健康状况及重点慢性病流行现况. 疾病监测, 2017, 32(1): 6-8.
14. 白华宇. 四川 2021 人群健康大数据公布. 家庭与生活报, 2022-08-11(16).
15. 方欣, 杨泽, 钟文玲, 等. 福建省缺血性心血管病发病风险评估. 中国公共卫生, 2020, 36(8): 1139-1142.
16. 洪忻, 周楠, 苏健, 等. 南京市居民不同血糖代谢分类与血脂异常的关联性. 中华健康管理学杂志, 2021, 15(6): 551-556.
17. 符燕萍, 韦迎娜, 方莲莲, 等. 三亚市健康人群在外就餐现状及其高血压、血脂异常相关性研究. 华南预防医学, 2021, 47(12): 1588-1590, 1593.
18. 周仲芳, 黄素琼, 王小红, 等. 泸州地区体检在职人群血脂异常流行情况及危险因素分析. 现代预防医学, 2021, 48(21): 3990-3995.
19. 李鑫, 陶小娥, 赵廷明, 等. 四川省通江县常住居民血脂异常检出情况及其影响因素分析. 预防医学情报杂志, 2022, 38(1): 113-119, 124.
20. 任雪英. 女性绝经前后性激素与血脂水平变化的临床分析. 中国妇幼保健, 2013, 28(30): 4986-4988.
21. 徐培培, 王书兰, 吕家爱, 等. 2018 年如皋市成人血脂异常情况及危险因素分析. 中国初级卫生保健, 2022, 36(3): 51-53.
22. Mesalić L, Tupković E, Kendić S, et al. Correlation between hormonal and lipid status in women in menopause. Bosn J Basic Med Sci, 2008, 8(2): 188-192.
23. 唐敏. 围绝经期妇女性激素六项对血脂四项水平的影响和意义. 当代医学, 2021, 27(22): 40-42.
24. 丁婧, 王辉, 余诗灏, 等. 肥胖大鼠模型的建立及其脂代谢相关分子机制研究. 中国实验动物学报, 2012, 20(5): 20-24, 94.
25. Bloomgarden ZT. Insulin resistance, dyslipidemia, and cardiovascular disease. Diabetes Care, 2007, 30(8): 2164-2170.
26. 张兆余. 高血压患者血液流变学和血脂的变化及与高血压的关系. 中国微循环, 1998, 2(3): 178-179.
27. 刘久波, 陈林, 何晓阔, 等. 血脂与血液流变性的关系及其对高血压的影响. 微循环学杂志, 2006, 16(3): 47-48, 50, 89, 92.
28. Shan R, Ning Y, Ma Y, et al. Incidence and risk factors of hyperuricemia among 2.5 million Chinese adults during the years 2017-2018. Int J Environ Res Public Health, 2021, 18(5): 2360.

West China Medical Journal

Prevalence and influencing factors of dyslipidemia among permanent residents in Longquanyi district, Chengdu

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