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血尿酸水平与血脂异常关系的交叉滞后分析

尹田秀 朱晓玥 何志亮 白鹤翔 沈辰也 蔡乐 李若愚 王蓓

尹田秀, 朱晓玥, 何志亮, 白鹤翔, 沈辰也, 蔡乐, 李若愚, 王蓓. 血尿酸水平与血脂异常关系的交叉滞后分析[J]. 中华疾病控制杂志, 2024, 28(1): 14-19. doi: 10.16462/j.cnki.zhjbkz.2024.01.003
引用本文: 尹田秀, 朱晓玥, 何志亮, 白鹤翔, 沈辰也, 蔡乐, 李若愚, 王蓓. 血尿酸水平与血脂异常关系的交叉滞后分析[J]. 中华疾病控制杂志, 2024, 28(1): 14-19. doi: 10.16462/j.cnki.zhjbkz.2024.01.003
YIN Tianxiu, ZHU Xiaoyue, HE Zhiliang, BAI Hexiang, SHEN Chenye, CAI Le, LI Ruoyu, WANG Bei. Cross-lagged analysis of the relationship between serum uric acid and dyslipidemia[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(1): 14-19. doi: 10.16462/j.cnki.zhjbkz.2024.01.003
Citation: YIN Tianxiu, ZHU Xiaoyue, HE Zhiliang, BAI Hexiang, SHEN Chenye, CAI Le, LI Ruoyu, WANG Bei. Cross-lagged analysis of the relationship between serum uric acid and dyslipidemia[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(1): 14-19. doi: 10.16462/j.cnki.zhjbkz.2024.01.003

血尿酸水平与血脂异常关系的交叉滞后分析

doi: 10.16462/j.cnki.zhjbkz.2024.01.003
基金项目: 

重大慢性非传染性疾病防控研究专项 2016YFC1305700

详细信息
    通讯作者:

    王蓓,E-mail:wangbeilxb@163.com

  • 中图分类号: R181.3

Cross-lagged analysis of the relationship between serum uric acid and dyslipidemia

Funds: 

Special Research Project on Prevention and Control of Major Chronic Noncommunicable Diseases on Early Identification of Risk Factors, Early Diagnosis Technology and Pointcut of Diabetes 2016YFC1305700

More Information
  • 摘要:   目的  研究血尿酸(serum uric acid, SUA)水平升高与血脂质之间的关系,为预防控制血脂异常和高尿酸血症提供依据。  方法  2017年4—7月在江苏省盐城市盐都区,采用多级分层随机抽样方法,对≥18岁常住居民进行基线调查,于2022年对该队列人群进行随访;采用交叉滞后模型,探讨SUA水平与血脂之间的关系,包括总胆固醇(total cholesterol, TC)、低密度脂蛋白胆固醇(low-density lipoprotein cholesterol, LDL-C)、三酰甘油(triglyceride, TG)、高密度脂蛋白胆固醇(high-density lipoprotein cholesterol, HDL-C),并且针对性别进行分层分析,探究SUA水平与血脂异常的关系是否存在性别差异。  结果  共有1 347名符合条件的对象纳入研究。基线TC到随访SUA的路径系数在一般人群(β=3.402, P=0.048)和男性(β=7.214,P=0.012)中差异均有统计学意义;基线SUA到随访TC的路径系数差异无统计学意义(P=0.958)。基线TG到随访SUA的路径系数在一般人群(β=2.357, P=0.011)和男性(β=3.425,P=0.011)中差异均有统计学意义;基线SUA到随访TG的路径系数差异无统计学意义(P=0.188)。基线SUA到随访HDL-C的路径系数在一般人群(β=0.002,P<0.001)、男性(β=0.001,P<0.001)和女性(β=0.003,P<0.001)中差异均有统计学意义;基线HDL-C到随访SUA的路径系数差异无统计学意义(P=0.461)。基线SUA到随访LDL-C的路径系数在一般人群(β=0.002, P<0.001)、男性(β=0.004,P<0.001)和女性(β=0.001,P=0.015)中差异均有统计学意义;基线LDL-C到随访SUA的路径系数差异无统计学意义(P=0.436)。  结论  SUA与血脂水平之间相互影响,TC、TG水平升高可能导致SUA水平升高,从而可能导致LDL-C水平升高和HDL-C水平降低。
  • 图  1  SUA与TC水平的交叉滞后分析

    SUA:血尿酸;TC:总胆固醇。
    a: P<0.05。

    Figure  1.  Cross-lagged analysis of SUA and TC

    SUA: surem uric acid; TC: total cholesterol.
    a: P < 0.05.

    图  2  SUA与TG水平的交叉滞后分析

    SUA:血尿酸;TG:三酰甘油。
    a: P<0.05。

    Figure  2.  Cross-lagged analysis of SUA and TG

    SUA: surem uric acid; TG: triglyceride.
    a: P < 0.05.

    图  3  SUA与HDL-C水平的交叉滞后分析

    SUA:血尿酸;HDL-C:高密度脂蛋白胆固醇。
    a: P<0.05。

    Figure  3.  Cross-lagged analysis of SUA and HDL-C

    SUA: surem uric acid; HDL-C: high-density lipoprotein cholesterol
    a: P < 0.05.

    图  4  SUA与LDL-C水平的交叉滞后分析

    SUA:血尿酸;LDL-C:低密度脂蛋白胆固醇。
    a: P<0.05。

    Figure  4.  Cross-lagged analysis of SUA and LDL-C

    SUA: surem uric acid; LDL-C: low-density lipoprotein cholesterol.
    a: P < 0.05.

    图  5  SUA与TC水平的交叉滞后分析(分层分析)

    SUA:血尿酸;TC:总胆固醇。
    a: P<0.05。

    Figure  5.  Cross-lagged analysis of SUA and TC (stratified analysis)

    SUA: surem uric acid; TC: total cholesterol.
    a: P < 0.05.

    图  6  SUA与TG水平的交叉滞后分析(分层分析)

    SUA:血尿酸;TG:三酰甘油。
    a: P<0.05。

    Figure  6.  Cross-lagged analysis of SUA and TG (stratified analysis)

    SUA: surem uric acid; TG: triglyceride.
    a: P < 0.05.

    图  7  SUA与HDL-C水平的交叉滞后分析(分层分析)

    SUA:血尿酸;HDL-C:高密度脂蛋白胆固醇。
    a: P<0.05。

    Figure  7.  Cross-lagged analysis of SUA and HDL-C (stratified analysis)

    SUA: surem uric acid; HDL-C: high-density lipoprotein cholesterol.
    a: P < 0.05.

    图  8  SUA与LDL-C水平的交叉滞后分析(分层分析)

    SUA:血尿酸;LDL-C:低密度脂蛋白胆固醇。
    a: P<0.05。

    Figure  8.  Cross-lagged analysis of SUA and LDL-C (stratified analysis)

    SUA: surem uric acid; LDL-C: low-density lipoprotein cholesterol.
    a: P < 0.05.

    表  1  交叉滞后分析中受试者的基线特征

    Table  1.   Baseline characteristics of subjects in cross-lagged analysis

    变量Variable 合计 Total (n=1 347) 男性 Male (n=543) 女性 Female (n=804) Z/χ2值value P值value
    年龄/岁Age/years 52.0(47.0, 60.0) 53.0(46.0, 61.0) 52.0(47.0, 60.0) 1.739 0.207
    BMI/(kg·m-2) 25.3(23.2, 27.7) 25.5(23.2, 28.0) 25.3(23.2, 27.6) 0.554 0.554
    SBP/mmHg-1 135.0(124.0, 148.0) 138.0(126.0, 150.8) 133.0(122.0, 147.0) 8.835 0.003
    DBP/mmHg-1 85.0(77.0, 92.0) 86.0(79.0, 93.0) 83.5(76.0, 90.0) 16.429 0.001
    TG/(mmol·L-1) 1.4(1.0, 2.1) 1.5(1.0, 2.2) 1.3(0.9, 1.9) 9.748 0.002
    TC/(mmol·L-1) 4.8(4.2, 5.4) 4.7(4.2, 5.3) 4.9(4.2, 5.5) 8.536 0.003
    HDL-C/(mmol·L-1) 1.5(1.3, 1.8) 1.5(1.2, 1.7) 1.6(1.3, 1.8) 22.259 0.001
    LDL-C/(mmol·L-1) 2.6(2.2, 3.1) 2.6(2.1, 3.0) 2.6(2.2, 3.1) 0.977 0.323
    FPG/(mmol·L-1) 5.7(5.3, 6.1) 5.8(5.4, 6.3) 5.6(5.3, 6.1) 16.276 0.001
    HbA1c/ % 5.3(5.0, 5.6) 5.3(5.0, 5.6) 5.3(5.0, 5.6) 0.112 0.738
    SUA/(mmol·L-1) 293.0(241.0, 349.0) 345.0(298.0, 398.5) 260.0(222.0, 307.0) 269.242 0.001
    吸烟Smoking 289(21.5) 268(49.4) 21(2.6) 420.225 0.001
    饮酒Drinking 280(20.8) 237(43.6) 43(5.3) 288.707 0.001
    规律运动Regular exercise 375(27.8) 169(31.1) 206(25.6) 4.883 0.027
    注:TG, 三酰甘油; TC, 总胆固醇; HDL-C, 高密度脂蛋白胆固醇; LDL-C, 低密度脂蛋白胆固醇; FPG, 空腹血糖; HbA1c, 糖化血红蛋白; SUA, 血尿酸。
    ①以M(P25, P75)或人数(占比/%)表示。
    Note: TG, triglyceride; TC, total cholesterol; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; FPG, fasting plasma glucose; HbA1c, glycosylated hemoglobin; SUA, serum uric acid.
    M(P25, P75) or number of people (proportion/%).
    下载: 导出CSV
  • [1] Prabhakaran D, Anand S, Watkins D, et al. Cardiovascular, respiratory, and related disorders: key messages from Disease Control Priorities, 3rd edition[J]. Lancet, 2018, 391(10126): 1224-1236. DOI: 10.1016/S0140-6736(17)32471-6.
    [2] Zhang M, Deng Q, Wang LH, et al. Prevalence of dyslipidemia and achievement of low-density lipoprotein cholesterol targets in Chinese adults: a nationally representative survey of 163, 641 adults[J]. Int J Cardiol, 2018, 260: 196-203. DOI: 10.1016/j.ijcard.2017.12.069.
    [3] Filiopoulos V, Hadjiyannakos D, Vlassopoulos D. New insights into uric acid effects on the progression and prognosis of chronic kidney disease[J]. Ren Fail, 2012, 34(4): 510-520. DOI: 10.3109/0886022X.2011.653753.
    [4] Wei FJ, Sun N, Cai CY, et al. Associations between serum uric acid and the incidence of hypertension: a Chinese senior dynamic cohort study[J]. J Transl Med, 2016, 14(1): 110. DOI: 10.1186/s12967-016-0866-0.
    [5] Kim SY, Guevara JP, Kim KM, et al. Hyperuricemia and coronary heart disease: a systematic review and meta-analysis[J]. Arthritis Care Res (Hoboken), 2010, 62(2): 170-180. DOI: 10.1002/acr.20065.
    [6] Liang J, Jiang YT, Huang YF, et al. The comparison of dyslipidemia and serum uric acid in patients with gout and asymptomatic hyperuricemia: a cross-sectional study[J]. Lipids Health Dis, 2020, 19(1): 31. DOI: 10.1186/s12944-020-1197-y.
    [7] Chen SH, Yang H, Chen YS, et al. Association between serum uric acid levels and dyslipidemia in Chinese adults: a cross-sectional study and further meta-analysis[J]. Medicine, 2020, 99(11): e19088. DOI: 10.1097/MD.0000000000019088.
    [8] Son M, Seo J, Yang S. Association between dyslipidemia and serum uric acid levels in Korean adults: Korea National Health and Nutrition Examination Survey 2016-2017[J]. PLoS One, 2020, 15(2): e0228684. DOI: 10.1371/journal.pone.0228684.
    [9] Wang X, Zhong S, Guo X. The associations between fasting glucose, lipids and uric acid levels strengthen with the decile of uric acid increase and differ by sex[J]. Nutr Metab Cardiovasc Dis, 2022, 32(12): 2786-2793. DOI: 10.1016/j.numecd.2022.09.004.
    [10] 常巍, 张雪辉, 汪洋, 等. 云南某农村高尿酸血症与血脂异常的相关性分析[J]. 昆明医科大学学报, 2018, 39(6): 124-127. DOI: 10.3969/j.issn.1003-4706.2018.06.026.

    Chang W, Zhang XH, Wang Y, et al. The correlation analysis between hyperuricemia and dyslipidemia in rural areas, Yunnan Province[J]. Journal of Kunming Medical University, 2018, 39(6): 124-127. DOI: 10.3969/j.issn.1003-4706.2018.06.026.
    [11] 刘璐, 马晓凡, 叶飞, 等. 乌鲁木齐市哈萨克族人群高尿酸血症与代谢性疾病的研究[J]. 职业与健康, 2018, 34(5): 634-637. DOI: 10.13329/j.cnki.zyyjk.2018.0176.

    Liu L, Ma XF, Ye F, et al. Study on hyperuricemia and metabolic diseases in Kazak people in Urumqi[J]. Occup and Health, 2018, 34(5): 634-637. DOI: 10.13329/j.cnki.zyyjk.2018.0176.
    [12] 周广帅, 范冰冰, 王春霞, 等. 交叉滞后路径分析在变量因果时序关系研究中的应用[J]. 中国卫生统计, 2020, 37(6): 813-817. DOI: 10.3969/j.issn.1002-3674.2020.06.004.

    Zhou GS, Fan BB, Wang CX, et al. Application of cross-lagged path analysis in studying temporal relationship between intercorrelated variables[J]. Chinese Journal of Health Statistics, 2020, 37(6): 813-817. DOI: 10.3969/j.issn.1002-3674.2020.06.004.
    [13] 袁空军, 余星磊, 赵创艺, 等. 高尿酸血症对老年人血脂异常患病的影响: 基于倾向性评分匹配的实证研究[J]. 中国循证医学杂志, 2022, 22(7): 785-790. DOI: 10.7507/1672-2531.202203006.

    Yuan KJ, Yu XL, Zhao CY, et al. Effects of hyperuricemia on the prevalence of dyslipidemia in the elderly: an empirical study based on propensity score matching[J]. Chin J Evid-Based Med, 2022, 22(7): 785-790. DOI: 10.7507/1672-2531.202203006.
    [14] Zhang SS, Wang Y, Cheng JS, et al. Hyperuricemia and cardiovascular disease[J]. Curr Pharm Des, 2019, 25(6): 700-709. DOI: 10.2174/1381612825666190408122557.
    [15] Yang F, Liu MY, Qin NK, et al. Lipidomics coupled with pathway analysis characterizes serum metabolic changes in response to potassium oxonate induced hyperuricemic rats[J]. Lipids Health Dis, 2019, 18(1): 112. DOI: 10.1186/s12944-019-1054-z.
    [16] 孙昊, 崔静, 楚立云. 青岛某烟厂体检人群不同血脂指标与高尿酸血症关系[J]. 青岛大学学报(医学版), 2020, 56(6): 723-726. DOI: 10.11712/jms.2096-5532.2020.56.177.

    Sun H, Cui J, Chu LY. Relationship between different blood lipid indexes and hyperuricemia in physical examination population of a cigarette factory in Qingdao[J]. Journal of Qingdao University (Medical Sciences), 2020, 56(6): 723-726. DOI: 10.11712/jms.2096-5532.2020.56.177.
    [17] 朱佳妮, 齐心月, 谭杨, 等. 中老年人群高尿酸血症与糖脂代谢紊乱及膳食因素的关系研究[J]. 四川大学学报(医学版), 2016, 47(1): 68-72. DOI: 10.3969/j.issn.1674-7372.2010.03.015.

    Zhu JN, Qi XY, Tan Y, et al. Dietary factors associated with hyperuricemia and glyeolipid metabolism disorder in middle-aged and elderly people[J]. J Sichuan Univ (Med Sci), 2016, 47(1): 68-72. DOI: 10.3969/j.issn.1674-7372.2010.03.015.
    [18] Stelmach MJ, Wasilewska N, Wicklund-Liland LI, et al. Blood lipid profile and BMI-Z-score in adolescents with hyperuricemia[J]. Ir J Med Sci, 2015, 184(2): 463-468. DOI: 10.1007/s11845-014-1146-8.
    [19] Peng TC, Wang CC, Kao TW, et al. Relationship between hyperuricemia and lipid profiles in US adults[J]. Biomed Res Int, 2015, 2015: 127596. DOI: 10.1155/2015/127596.
    [20] Rathmann W, Funkhouser E, Dyer AR, et al. Relations of hyperuricemia with the various components of the insulin resistance syndrome in young black and white adults: the CARDIA study. Coronary Artery Risk Development in Young Adults[J]. Ann Epidemiol, 1998, 8(4): 250-261. DOI: 10.1016/s1047-2797(97)00204-4.
    [21] Nakagawa T, Hu HB, Zharikov S, et al. A causal role for uric acid in fructose-induced metabolic syndrome[J]. Am J Physiol Ren Physiol, 2006, 290(3): F625-F631. DOI: 10.1152/ajprenal.00140.2005.
    [22] 宋理毅. 高尿酸血症与代谢综合征相关性的研究进展[J]. 黑龙江医学, 2019, 44(9): 1134-1135, 1138. DOI: 10.3969/j.issn.1004-5775.2019.09.062.

    Song LY. Research progress of correlation between hyperuricemia and metabolic syndrome[J]. Heilongjiang Medical Jouranl, 2019, 44(9): 1134-1135, 1138. DOI: 10.3969/j.issn.1004-5775.2019.09.062.
    [23] Feng XJ, Yang YY, Xie HQ, et al. The association between hyperuricemia and obesity metabolic phenotypes in Chinese general population: a retrospective analysis[J]. Front Nutr, 2022, 9: 773220. DOI: 10.3389/fnut.2022.773220.
    [24] Techatraisak K, Kongkaew T. The association of hyperuricemia and metabolic syndrome in Thai postmenopausal women[J]. Climacteric, 2017, 20(6): 552-557. DOI: 10.1080/13697137.2017.1369513.
    [25] Yu C, Zhou XL, Wang T, et al. Positive correlation between fatty liver index and hyperuricemia in hypertensive Chinese adults: a h-type hypertension registry study[J]. Front Endocrinol, 2023, 14: 1183666. DOI: 10.3389/fendo.2023.1183666.
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  • 收稿日期:  2023-05-10
  • 修回日期:  2023-09-30
  • 网络出版日期:  2024-02-05
  • 刊出日期:  2024-01-10

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