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贵州省成年人群膳食模式与心血管疾病发病关系的队列研究

张骥 周婕 余丽莎 王艺颖 吴延莉 李雪娇 刘涛

张骥, 周婕, 余丽莎, 王艺颖, 吴延莉, 李雪娇, 刘涛. 贵州省成年人群膳食模式与心血管疾病发病关系的队列研究[J]. 中华疾病控制杂志, 2024, 28(2): 161-170. doi: 10.16462/j.cnki.zhjbkz.2024.02.006
引用本文: 张骥, 周婕, 余丽莎, 王艺颖, 吴延莉, 李雪娇, 刘涛. 贵州省成年人群膳食模式与心血管疾病发病关系的队列研究[J]. 中华疾病控制杂志, 2024, 28(2): 161-170. doi: 10.16462/j.cnki.zhjbkz.2024.02.006
ZHANG Ji, ZHOU Jie, YU Lisha, WANG Yiying, WU Yanli, LI Xuejiao, LIU Tao. Dietary patterns and cardiovascular disease among adults in Guizhou Province: a cohort study[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(2): 161-170. doi: 10.16462/j.cnki.zhjbkz.2024.02.006
Citation: ZHANG Ji, ZHOU Jie, YU Lisha, WANG Yiying, WU Yanli, LI Xuejiao, LIU Tao. Dietary patterns and cardiovascular disease among adults in Guizhou Province: a cohort study[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(2): 161-170. doi: 10.16462/j.cnki.zhjbkz.2024.02.006

贵州省成年人群膳食模式与心血管疾病发病关系的队列研究

doi: 10.16462/j.cnki.zhjbkz.2024.02.006
基金项目: 

贵州省科技支撑项目 Qiankehe [2018] 2819

详细信息
    通讯作者:

    刘涛,E-mail:543820987@qq.com

  • 中图分类号: R543.3

Dietary patterns and cardiovascular disease among adults in Guizhou Province: a cohort study

Funds: 

Guizhou Province Science and Technology Support Program Qiankehe [2018] 2819

More Information
  • 摘要:   目的  分析不同膳食模式与心血管疾病(cardiovascular disease, CVD)发病的关系,为CVD的防控提供参考依据。  方法  基于2010年11月建立的贵州省自然人群队列,采取分层整群抽样的方法抽取贵州省12个县(市、区)的≥18岁常住居民9 280人开展基线调查,于2016年12月19日―2020年6月1日对人群进行随访,将完成随访且基线信息和随访结局完整的7 897人纳入分析。采用半定量食物频率法获得人群膳食信息,通过探索性因子分析确定膳食模式,使用Cox比例风险回归模型计算队列人群不同膳食模式和CVD发生的HR值和95% CI  结果  研究对象基线年龄为(44.46±15.14)岁,累计随访55 698.80人年,中位随访时间6.58年,随访期间221人发生CVD,发病密度为3.97/1 000人年。因子分析确定了油盐模式、蛋白模式、甜食模式、谷蔬模式、水产品模式。调整其他因素后,与各模式的低水平组相比,高水平油盐模式(HR=1.44, 95%CI: 1.02~2.02,P < 0.05)、中水平甜食模式(HR=1.47, 95%CI: 1.04~2.06,P < 0.05)、高水平甜食模式(HR=1.66, 95%CI: 1.17~2.36,P < 0.05)与CVD的发生呈正相关。  结论  油盐膳食模式和甜食膳食模式增加人群CVD的发病风险,限制脂肪、盐及含糖食品的摄入可预防和控制CVD的发生。
  • 图  1  研究对象的纳入与排除流程图

    CVD:心血管疾病。

    Figure  1.  Flow diagram of participants included and excluded in the study population

    CVD: cardiovascular disease.

    表  1  研究人群基本特征

    Table  1.   Baseline characteristics of the study participants

    特征  Characteristic 合计
    Total
    (n=7 897)
    非CVD
    Non-CVD
    (n=7 676)
    CVD
    (n=221)
    t2
    value
    P
    value
    年龄/岁  Age/years 44.46±15.14 44.16±15.07 54.83±13.68 10.40 < 0.001
    性别  Gender
      男  Male 3 760 3 651(47.56) 109(49.32) 0.27 0.606
      女  Female 4 137 4 025(52.44) 112(50.68)
    居住地  Residence place
      城市  Urban 2 634 2 573(33.52) 61(27.60) 3.39 0.066
      农村  Rural 5 263 5 103(66.48) 160(72.40)
    文化程度  Education level
      小学及以下  Primary school and below 4 539 4 384(57.11) 155(70.14) 15.23 < 0.001
      中学  Junior/senior high school 3 020 2 959(38.55) 61(27.60)
      大专及以上  College and above 338 333(4.34) 5(2.26)
    吸烟  Smoking
      是  Yes 2 267 2 195(28.60) 72(32.58) 1.67 0.197
      否  No 5 630 5 481(71.40) 149(67.42)
    饮酒  Drinking
      是  Yes 2 545 2 477(32.27) 68(30.77) 0.22 0.638
      否  No 5 352 5 199(67.73) 153(69.23)
    体力活动 /(MET-h·wk-1)  Physical activity /(MET-h·wk-1) 64.00(20.00, 162.00) 63.16(20.00, 162.00) 72.00(25.67, 167.00) 1.15 0.250
    BMI/(kg·m-2) 22.89±3.36 22.88±3.36 23.06±3.29 0.79 0.432
    SBP/mmHg 125.28±21.02 124.97±20.79 135.92±25.79 7.66 < 0.001
    DBP/mmHg 78.33±11.96 78.18±11.87 83.22±14.02 6.17 < 0.001
    FBG/(mmol·L-1) 5.26±1.28 5.26±1.27 5.41±1.54 1.78 0.075
    心率/(次·min-1)  Heart rate/(beats per minute) 77.50±11.30 77.45±11.36 79.21±8.80 2.28 0.022
    注:CVD, 心血管疾病;MET, 代谢当量;BMI, 体质指数;SBP, 收缩压;DBP, 舒张压;FBG, 空腹血糖。
    ①采用Mann-Whitney U检验。②以人数(占比/%)/x±s/[M(P25, P75)]表示。
    Note: CVD, cardiovascular disease; MET, metabolic equivalent; BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; FBG, fasting blood glucose.
    ①Mann-Whitney U test was used. ② Number of people (proportion /%) or x±s or [M(P25, P75)].
    下载: 导出CSV

    表  2  各类膳食模式组分及因子载荷

    Table  2.   Components of dietary patterns and factor loadings

    特征  Characteristic 因子载荷  Factor loadings
    油盐模式
    Oil and salt pattern
    蛋白模式
    Protein pattern
    甜食模式
    Sweet pattern
    谷蔬模式
    Grain-vegetable pattern
    水产品模式
    Aquatic product pattern
    食盐  Salt 0.80
    烹调油  Cooking oil 0.74
    酱油  Soy sauce 0.73
    咸泡菜  Pickle 0.45 0.264
    豆制品  Bean products 0.65
    蛋类  Eggs 0.55
    新鲜水果  Fresh fruits 0.55 0.20
    奶制品  Dairy 0.49 -0.23
    碳酸饮料  Carbonated beverages 0.77
    糕点  Cakes and pastries 0.70
    果蔬味饮料  Fruit and vegetable flavored drink 0.48
    油炸食品  Fried food 0.28 0.34
    薯类  Tubers 0.28 0.31
    新鲜蔬菜  Fresh vegetable 0.75
    粮谷  Grain 0.75
    水产品  Aquatic product 0.75
    鸡鸭鹅肉  Poultry meat 0.25 0.60
    猪牛羊肉  Animal meat 0.37 0.25 0.46
    特征根  Eigenvalues 2.38 1.93 1.46 1.12 1.05
    方差贡献率/%  Variance contribution rate/% 10.80 9.55 8.78 7.63 7.40
    累计方差贡献率/%  Cumulative variance contribution rate/% 10.80 20.35 29.12 36.75 44.15
    注:“―”表示仅显示因子载荷绝对值超过0.20的食物。
    Note:“―” means only foods with factor loading greater than 0.20 were listed
    下载: 导出CSV

    表  3  不同膳食模式人群基本特征

    Table  3.   Baseline characteristics of study participants in different dietary patterns

    特征  Characteristic 油盐模式   Oil and salt pattern χ2/F
    value
    P
    value
    低  Low
    (n=2 632)
    中  Medium
    (n=2 633)
    高  High
    (n=2 632)
    年龄/岁  Age/years 43.13±15.08 44.43±15.05 45.81±15.18 20.74 < 0.001
    性别  Gender
        男  Male 1 245(47.30) 1 232(46.79) 1 283(48.75) 2.17 0.338
        女  Female 1 387(52.70) 1 401(53.21) 1 349(51.25)
    居住地  Residence place
        城市  Urban 769(29.22) 866(32.89) 999(37.96) 45.59 < 0.001
        农村 Rural 1 863(70.78) 1 767(67.11) 1 633(62.04)
    文化程度  Education level
        小学及以下  Primary school and below 1 506(57.22) 1 553(58.98) 1 480(56.23) 12.41 0.015
        中学  Junior/senior high school 1 014(38.53) 991(37.64) 1 015(38.56)
        大专及以上 College and above 112(4.25) 89(3.38) 137(5.21)
    吸烟  Smoking
        是  Yes 726(27.58) 746(28.33) 795(30.21) 4.69 0.096
        否  No 1 906(72.42) 1 887(71.67) 1 837(69.79)
    饮酒  Drinking
        是 Yes 802(30.47) 793(30.12) 950(36.09) 27.10 < 0.001
        否  No 1 830(69.53) 1 840(69.88) 1 682(63.91)
    体力活动 /(MET-h·wk-1)  Physical activity /(MET-h·wk-1) 64.00(20.00, 178.50) 60.67(17.33, 158.00) 64.00(20.67, 144.00) 6.06 0.048
    BMI/(kg·m-2) 22.74±3.39 22.92±3.29 23.00±3.40 4.09 0.017
    SBP/mmHg 125.23±20.82 124.59±20.90 126.03±21.33 3.13 0.044
    DBP/mmHg 78.10±11.91 78.20±11.78 78.69±12.18 1.83 0.161
    FBG/(mmol·L-1) 5.25±1.26 5.31±1.24 5.22±1.33 3.37 0.034
    心率/(次·min-1)  Heart rate/(beats per minute) 77.20±9.97 77.54±12.97 77.78±10.74 1.75 0.173
    特征  Characteristic 蛋白模式   Protein pattern rowspan="2"χ2/F
    value
    P
    value
    低  Low
    (n=2 632)
    中  Medium
    (n=2 633)
    高  High
    (n=2 632)
    年龄/岁  Age/years 46.16±15.47 44.52±14.89 42.68±15.14 35.25 < 0.001
    性别  Gender
        男  Male 1 290(49.01) 1 268(48.16) 1 202(45.67) 6.37 0.041
        女  Female 1 342(50.99) 1 365(51.84) 1 430(54.33)
    居住地  Residence place
        城市  Urban 560(21.28) 877(33.31) 1 197(45.48) 346.77 < 0.001
        农村  Rural 2 072(78.72) 1 756(66.69) 1 435(54.52)
    文化程度  Education level
        小学及以下  Primary school and below 1 783(67.74) 1 564(59.40) 1 192(45.29) 342.06 < 0.001
        中学  Junior/senior high school 796(30.24) 995(37.79) 1 229(46.69)
        大专及以上  College and above 53(2.02) 74(2.81) 211(8.02)
    吸烟  Smoking
        是  Yes 686(26.06) 787(29.89) 794(30.17) 13.53 0.001
        否  No 1 946(73.94) 1 846(70.11) 1 838(69.83)
    饮酒  Drinking
        是  Yes 782(29.71) 828(31.45) 935(35.52) 21.46 < 0.001
        否  No 1 850(70.29) 1 805(68.55) 1 697(64.48)
    体力活动 /(MET-h·wk-1)  Physical activity /(MET-h·wk-1) 64.00(16.00, 168.00) 70.00(22.00, 164.00) 56.00(20.00, 152.00) 4.42 0.11
    BMI/(kg·m-2) 22.71±3.28 22.75±3.34 23.2±3.44 16.89 < 0.001
    SBP/mmHg 126.53±22.31 125.21±20.43 124.11±20.20 8.78 < 0.001
    DBP/mmHg 78.29±12.37 78.30±11.85 78.4±11.66 0.06 0.941
    FBG/(mmol·L-1) 5.33±1.17 5.23±1.31 5.22±1.34 6.71 0.001
    心率/(次·min-1)  Heart rate/(beats per minute) 76.77±10.82 77.66±12.02 78.07±10.98 9.17 < 0.001
    特征  Characteristic 甜食模式   Sweet pattern χ2/F
    value
    P
    value
    低  Low
    (n=2 632)
    中  Medium
    (n=2 633)
    高  High
    (n=2 632)
    年龄/岁  Age/years 45.46±14.93 46.27±14.96 41.65±15.13 71.28 < 0.001
    性别  Gender
        男  Male 1 263(47.99) 1 245(47.28) 1 252(47.57) 0.26 0.877
        女  Female 1 369(52.01) 1 388(52.72) 1 380(52.43)
    居住地  Residence place
        城市  Urban 588(22.34) 789(29.97) 1 257(47.76) 402.89 < 0.001
        农村  Rural 2 044(77.66) 1 844(70.03) 1 375(52.24)
    文化程度  Education level
        小学及以下  Primary school and below 1 543(58.62) 1 740(66.08) 1 256(47.72) 201.23 < 0.001
        中学  Junior/senior high school 977(37.12) 834(31.68) 1 209(45.94)
        大专及以上  College and above 112(4.26) 59(2.24) 167(6.34)
    吸烟  Smoking
        是  Yes 617(23.44) 797(30.27) 853(32.41) 56.41 < 0.001
        否 No 2 015(76.56) 1 836(69.73) 1 779(67.59)
    饮酒  Drinking
        是 Yes 778(29.56) 862(32.74) 905(34.39) 14.5 0.001
        否  No 1 854(70.44) 1 771(67.26) 1 727(65.61)
    体力活动 /(MET-h·wk-1)  Physical activity /(MET-h·wk-1) 60.67(13.33, 164.00) 80.00(24.00, 180.00) 56.00(20.92, 137.00) 42.61 < 0.001
    BMI/(kg·m-2) 22.86±3.46 22.81±3.27 23.00±3.35 2.23 0.107
    SBP/mmHg 125.25±21.53 127.02±21.44 123.59±19.93 17.53 < 0.001
    DBP/mmHg 78.18±12.68 78.75±11.96 78.06±11.20 2.47 0.084
    FBG/(mmol·L-1) 5.39±1.35 5.23±1.13 5.16±1.33 22.88 < 0.001
    心率/(次·min-1)  Heart rate/(beats per minute) 77.51±12.21 77.37±10.06 77.63±11.53 0.34 0.710
    特征  Characteristic 谷蔬模式   Grain-vegetable pattern χ2/F
    value
    P
    value
    低  Low
    (n=2 632)
    中  Medium
    (n=2 633)
    高  High
    (n=2 632)
    年龄/岁  Age/years 45.94±16.43 44.15±14.80 43.29±13.98 21.21 < 0.001
    性别  Gender
        男 Male 1 086(41.26) 1 234(46.87) 1 440(54.71) 96.33 < 0.001
        女  Female 1 546(58.74) 1 399(53.13) 1 192(45.29)
    居住地 Residence place
        城市  Urban 1 184(44.98) 773(29.36) 677(25.72) 248.05 < 0.001
        农村  Rural 1 448(55.02) 1 860(70.64) 1 955(74.28)
    文化程度  Education level
        小学及以下  Primary school and below 1 447(54.98) 1 551(58.90) 1 541(58.55) 69.82 < 0.001
        中学  Junior/senior high school 1 003(38.11) 996(37.83) 1 021(38.79)
        大专及以上  College and above 182(6.91) 86(3.27) 70(2.66)
    吸烟  Smoking
        是 Yes 638(24.24) 764(29.02) 865(32.86) 48.02 < 0.001
        否  No 1 994(75.76) 1 869(70.98) 1 767(67.14)
    饮酒 Drinking
        是  Yes 730(27.74) 858(32.59) 957(36.36) 45.05 < 0.001
        否  No 1 902(72.26) 1 775(67.41) 1 675(63.64)
    体力活动 /(MET-h·wk-1)  Physical activity /(MET-h·wk-1) 40.00(12.00, 101.33) 64.00(22.00, 154.00) 98.63(32.00, 224.00) 386.66 < 0.001
    BMI/(kg·m-2) 22.93±3.41 22.85±3.31 22.88±3.37 0.32 0.727
    SBP/mmHg 125.68±21.78 125.37±21.21 124.80±20.03 1.20 0.300
    DBP/mmHg 78.48±12.18 78.37±11.97 78.14±11.74 0.57 0.567
    FBG/(mmol·L-1) 5.23±1.26 5.22±1.18 5.32±1.38 4.63 0.010
    心率/(次·min-1)  Heart rate/(beats per minute) 77.41±10.29 78.14±11.42 76.96±12.09 7.35 0.001
    特征  Characteristic 水产品模式   Aquatic product pattern χ2/F
    value
    P
    value
    低  Low
    (n=2 632)
    中  Medium
    (n=2 633)
    高  High
    (n=2 632)
    年龄/岁 Age/years 45.89±15.11 44.56±15.28 42.92±14.87 25.67 < 0.001
    性别  Gender
        男 Male 1 115(42.36) 1 248(47.40) 1 397(53.08) 60.64 < 0.001
        女  Female 1 517(57.64) 1 385(52.60) 1 235(46.92)
    居住地  Residence place
        城市  Urban 847(32.18) 783(29.74) 1 004(38.15) 44.31 < 0.001
        农村  Rural 1 785(67.82) 1 850(70.26) 1 628(61.85)
    文化程度  Education level
        小学及以下  Primary school and below 1 787(67.90) 1 597(60.65) 1 155(43.88) 429.57 < 0.001
        中学  Junior/senior high school 802(30.47) 973(36.95) 1 245(47.30)
        大专及以上  College and above 43(1.63) 63(2.40) 232(8.82)
    吸烟  Smoking
        是  Yes 701(26.63) 767(29.13) 799(30.36) 9.26 0.010
        否  No 1 931(73.37) 1 866(70.87) 1 833(69.64)
    饮酒  Drinking
        是  Yes 668(25.38) 832(31.60) 1 045(39.70) 124.33 < 0.001
        否  No 1 964(74.62) 1 801(68.40) 1 587(60.30)
    体力活动 /(MET-h·wk-1)  Physical activity /(MET-h·wk-1) 62.00(16.00, 168.00) 70.00(24.00, 168.00) 56.00(18.67, 144.00) 11.99 0.002
    BMI/(kg·m-2) 22.72±3.23 22.75±3.31 23.20±3.51 16.85 < 0.001
    SBP/mmHg 125.77±21.39 126.06±21.08 124.02±20.53 7.26 0.001
    DBP/mmHg 78.35±11.87 78.17±12.24 78.46±11.78 0.39 0.676
    FBG/(mmol·L-1) 5.13±1.25 5.22±1.11 5.42±1.44 35.54 < 0.001
    心率/(次·min-1)  Heart rate/(beats per minute) 77.13±10.51 77.69±11.36 77.70±11.98 2.16 0.115
    注:CVD, 心血管疾病;MET, 代谢当量;BMI, 体质指数;SBP, 收缩压;DBP, 舒张压;FBG, 空腹血糖。
    ①采用Mann-Whitney U检验。②以人数(占比/%)/x±s/[M(P25, P75)]表示。
    Note: CVD, cardiovascular disease; MET, metabolic equivalent; BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; FBG, fasting blood glucose.
    ①Mann-Whitney U test was used. ② Number of people (proportion /%) or x±s or [M(P25, P75)].
    下载: 导出CSV

    表  4  不同膳食模式与心血管疾病关系的Cox回归分析

    Table  4.   Cox regression analysis of the relationship between different dietary patterns and cardiovascular disease

    特征  Characteristic 发病人数
    Number of cases
    随访人年
    Number of person-years
    发病密度/(千·人年-1)
    Incidence density (No. per 1 000 person-years)
    HR值value(95% CI)
    模型1
    Model 1
    模型2
    Model 2
    模型3
    Model 3
    油盐模式  Oil and salt pattern
        低  Low 61 19 002.16 3.21 1.00 1.00 1.00
        中  Medium 77 18 619.04 4.14 1.29(0.92~1.80) 1.32(0.94~1.85) 1.33(0.94~1.87)
        高  High 83 18 077.60 4.59 1.39(1.00~1.95) 1.43(1.02~2.00) 1.44(1.02~2.02)
        P趋势  Ptrend 0.066 0.049 0.049
    蛋白模式  Protein pattern
        低  Low 83 18 560.81 4.47 1.00 1.00 1.00
        中  Medium 69 18 687.21 3.69 0.90(0.65~1.24) 0.90(0.65~1.25) 0.90(0.65~1.25)
        高  High 69 18 450.78 3.74 1.03(0.74~1.43) 1.03(0.74~1.44) 0.99(0.71~1.39)
        P趋势  Ptrend 0.796 0.787 0.984
    甜食模式  Sweet pattern
        低  Low 58 18 952.20 3.06 1.00 1.00 1.00
        中 Medium 85 18 322.19 4.64 1.48(1.06~2.06) 1.45(1.04~2.03) 1.47(1.04~2.06)
        高  High 78 18 424.41 4.23 1.71(1.21~2.42) 1.70(1.20~2.41) 1.66(1.17~2.36)
    P趋势  Ptrend 0.008 0.008 0.014
    谷蔬模式  Grain-vegetable pattern
        低  Low 65 18 569.27 3.50 1.00 1.00 1.00
        中  Medium 82 18 691.99 4.39 1.34(0.97~1.87) 1.30(0.94~1.82) 1.29(0.92~1.80)
        高  High 74 18 437.54 4.01 1.30(0.93~1.84) 1.26(0.89~1.79) 1.26(0.88~1.79)
        P趋势  Ptrend 0.156 0.227 0.234
    水产品模式  Aquatic product pattern
        低  Low 81 18 711.98 4.33 1.00 1.00 1.00
        中  Medium 90 18 492.22 4.87 1.20(0.89~1.62) 1.19(0.89~1.61) 1.19(0.88~1.61)
        高  High 50 18 494.60 2.70 0.72(0.50~1.03) 0.73(0.51~1.05) 0.72(0.50~1.04)
        P趋势  Ptrend 0.065 0.058 0.055
    注:模型1,调整年龄、性别、文化程度、居住地;模型2,在模型1的基础上调整吸烟、饮酒、运动;模型3,在模型2的基础上调整体质指数、收缩压、舒张压、空腹血糖、心率。
    ①代表P<0.05。
    Note: Model 1, adjusted age, gender, education level and residence place; Model 2, based on model1and further adjusted for smoking, drinking, physical activity; Model 3, based on model 2 and further adjusted for body mass index, systolic blood pressure, diastolic blood pressure, fasting blood glucose and heat rate.
    P<0.05.
    下载: 导出CSV

    表  5  膳食模式与心血管疾病发病关系的敏感性分析

    Table  5.   Sensitivity analysis of the relationship between dietary patterns and cardiovascular disease incidence

    膳食模式 Dietary pattern 删除时间<5年人群
    The group followed-up < 5 years was deleted
    删除基线年龄>80岁人群
    The group with baseline age >80 years old was deleted
    删除基线年龄<35岁人群
    The group with baseline age < 35 years old was deleted
    油盐模式  Oil and salt pattern
        低  Low 1.00 1.00 1.00
        中  Medium 1.39(0.82~2.34) 1.32(0.94~1.87) 1.17(0.81~1.68)
        高  High 1.82(1.09~3.02) 1.44(1.02~2.02) 1.42(1.01~2.02)
    蛋白模式  Protein pattern
        低  Low 1.00 1.00 1.00
        中  Medium 0.98(0.60~1.62) 0.89(0.64~1.24) 0.93(0.66~1.30)
        高  High 1.21(0.74~1.99) 1.01(0.72~1.42) 1.07(0.75~1.52)
    甜食模式  Sweet pattern
        低  Low 1.00 1.00 1.00
        中  Medium 1.29(0.75~2.21) 1.45(1.03~2.04) 1.41(1.01~2.00)
        高  High 2.01(1.20~3.35) 1.65(1.16~2.35) 1.57(1.09~2.28)
    谷蔬模式  Grain-vegetable pattern
        低 Low 1.00 1.00 1.00
        中  Medium 1.30(0.80~2.13) 1.29(0.92~1.81) 1.31(0.93~1.86)
        高  High 1.18(0.70~2.00) 1.24(0.88~1.77) 1.16(0.80~1.69)
    水产品模式  Aquatic product pattern
        低  Low 1.00 1.00 1.00
        中  Medium 1.09(0.69~1.72) 1.19(0.87~1.61) 1.37(0.99~1.89)
        高  High 0.72(0.42~1.22) 0.74(0.51~1.06) 0.79(0.53~1.17)
    注:① P<0.05。
    Note: ① P<0.05.
    下载: 导出CSV
  • [1] Zhou MG, Wang HD, Zeng XY, 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.
    [2] 中华人民共和国国家卫生健康委员会. 中国卫生健康统计年鉴2021 [M]. 北京: 中国协和医科大学出版社, 2021: 281-295.

    National Health Commission of the People′s Republic of China. China health statistical yearbook 2021 [M]. Beijing: Peking union medical college press, 2021: 281-295.
    [3] He YN, Li YP, Yang XG, et al. The dietary transition and its association with cardiometabolic mortality among Chinese adults, 1982-2012: a cross-sectional population-based study [J]. Lancet Diabetes Endocrinol, 2019, 7(7): 540-548. DOI: 10.1016/S2213-8587(19)30152-4.
    [4] 代苏尧, 杨帆, 胡逸凡, 等. 不同膳食模式与常见慢性非传染性疾病关系的研究进展[J]. 中华流行病学杂志, 2021, 42(8): 1509-1517. DOI: 10.3760/cma.j.cn112338-20201016-01241.

    Dai SX, Yang F, Hu YF, et al. Research progress on the relationship between dietary patterns and common noninfectious chronic diseases [J]. Chin J Epidemiol, 2021, 42(8): 1509-1517. DOI: 10.3760/cma.j.cn112338-20201016-01241.
    [5] 中国疾病预防控制中心慢性非传染性疾病预防控制中心. 中国慢性病及危险因素监测数据分析手册[M]. 北京: 人民卫生出版社, 2022: 47-49.

    National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention. Data analysis manual of chronic disease risk factor surveillance in China [M]. Beijing: People′s Medical Publishing House press, 2022: 47-49.
    [6] 何明月, 丁凌玉, 武晓岩, 等. 哈尔滨市成年居民膳食模式与高血压患病关系[J]. 中国公共卫生, 2017, 33(10): 1430-1433. DOI: 10.11847/zgggws2017-33-10-04.

    He MY, Ding LY, Wu XY, et al. Association of dietary pattern with hypertension prevalence among residents in northern China [J]. Chin J Public Health, 2017, 33(10): 1430-1433. DOI: 10.11847/zgggws2017-33-10-04.
    [7] 陈阳阳, 那晓娜, 马晓川, 等. 膳食模式、社会经济地位对心血管病10年风险的联合影响[J]. 中华疾病控制杂志, 2021, 25(5): 552-558, 588. DOI: 10.16462/j.cnki.zhjbkz.2021.05.011.

    Chen YY, Na XN, Ma XC, et al. Joint association of dietary pattern and socioeconomic status with the 10-year risk of cardiovascular disease [J]. Chin J Dis Control Prev, 2021, 25(5): 552-558, 588. DOI:10.16462 /j.cnki.zhjbkz.2021.05.011.
    [8] Huang L, Wang Z, Wang H, et al. Nutrition transition and related health challenges over decades in China [J]. Eur J Clin Nutr, 2021, 75(2): 247-252. DOI: 10.1038/s41430-020-0674-8.
    [9] Ruparelia N, Chai JT, Fisher EA, et al. Inflammatory processes in cardiovascular disease: a route to targeted therapies [J]. Nat Rev Cardiol, 2017, 14(3): 133-144. DOI: 10.1038/nrcardio.2016.185.
    [10] Jaques DA, Wuerzner G, Ponte B. Sodium intake as a cardiovascular risk factor: a narrative review [J]. Nutrients, 2021, 13(9): 3177. DOI: 10.3390/nu13093177.
    [11] He FJ, Pombo-Rodrigues S, Macgregor GA. Salt reduction in England from 2003 to 2011: its relationship to blood pressure, stroke and ischaemic heart disease mortality [J]. BMJ Open, 2014, 4(4): e004549. DOI: 10.1136/bmjopen-2013-004549.
    [12] Neal B, Wu YF, Feng XX, et al. Effect of salt substitution on cardiovascular events and death [J]. N Engl J Med, 2021, 385(12): 1067-1077. DOI: 10.1056/NEJMoa2105675.
    [13] Zhang YX, Wang YH, Chen Y, et al. Associations of dietary patterns and risk of hypertension in southwest China: a prospective cohort study [J]. Int J Environ Res Public Health, 2021, 18(23): 12378. DOI: 10.3390/ijerph182312378.
    [14] Jones N, Blagih J, Zani F, et al. Fructose reprogrammes glutamine-dependent oxidative metabolism to support LPS-induced inflammation [J]. Nat Commun, 2021, 12(1): 1209. DOI: 10.1038/s41467-021-21461-4.
    [15] Warensjö Lemming E, Byberg L, Stattin K, et al. Dietary pattern specific protein biomarkers for cardiovascular disease: a cross-sectional study in 2 independent cohorts [J]. J Am Heart Assoc, 2019, 8(11): e011860. DOI: 10.1161/JAHA.118.011860.
    [16] Ho JE, Lyass A, Courchesne P, et al. Protein biomarkers of cardiovascular disease and mortality in the community [J]. J Am Heart Assoc, 2018, 7(14): e008108. DOI: 10.1161/JAHA.117.008108.
    [17] Qin CX, Lv J, Guo Y, et al. Associations of egg consumption with cardiovascular disease in a cohort study of 0.5 million Chinese adults [J]. Heart, 2018, 104(21): 1756-1763. DOI: 10.1136/heartjnl-2017-312651.
    [18] Zhao B, Gan L, Graubard BI, et al. Associations of dietary cholesterol, serum cholesterol, and egg consumption with overall and cause-specific mortality: systematic review and updated meta-analysis [J]. Circulation, 2022, 145(20): 1506-1520. DOI: 10.1161/CIRCULATIONAHA.121.057642.
    [19] Krittanawong C, Isath A, Hahn J, et al. Fish consumption and cardiovascular health: a systematic review [J]. Am J Med, 2021, 134(6): 713-720. DOI: 10.1016/j.amjmed.2020.12.017.
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出版历程
  • 收稿日期:  2022-11-01
  • 修回日期:  2023-04-23
  • 网络出版日期:  2024-03-30
  • 刊出日期:  2024-02-10

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