留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

The link between dietary nutrients intake and cardiovascular diseases in cold regions

Rennan Feng Qianqi Hong Jingjing Cao Jian Li Lanxin Deng Jing Wang Yang Zhao Cheng Wang

Rennan Feng, Qianqi Hong, Jingjing Cao, Jian Li, Lanxin Deng, Jing Wang, Yang Zhao, Cheng Wang. The link between dietary nutrients intake and cardiovascular diseases in cold regions[J]. Frigid Zone Medicine, 2024, 4(1): 1-11. doi: 10.2478/fzm-2024-0001
Citation: Rennan Feng, Qianqi Hong, Jingjing Cao, Jian Li, Lanxin Deng, Jing Wang, Yang Zhao, Cheng Wang. The link between dietary nutrients intake and cardiovascular diseases in cold regions[J]. Frigid Zone Medicine, 2024, 4(1): 1-11. doi: 10.2478/fzm-2024-0001

The link between dietary nutrients intake and cardiovascular diseases in cold regions

doi: 10.2478/fzm-2024-0001
Funds: 

the National Natural Science Foundation of China 82273613

Heilongjiang Provincial Natural Science Foundation of China LC2016032

More Information
  • Figure  1.  Areas under receiver operating characteristic curves of hypertension. A, protein; B, Vitamins; C, Minerals; D, Amino acids (Adjusted estimation: adjusted for gender, age, and BMI).

    Figure  2.  Areas under receiver operating characteristic curves of coronary heart disease. A, Nicotinic acid; B, Iodine (Adjusted estimation: adjusted for gender, age, and BMI).

    Table  1.   Characteristics of variables in cardiovascular disease patients and controls

    Group Age group Body Mass Index Male, N (%) Protein (g) Fat (g) Carbohydrate (g)
    Hypertension
    No (N = 898) 28.00(26.00, 33.00) 20.79 (19.22, 23.33) 333.00 (94.07%) 90.51 (60.45, 122.12) 72.22 (45.87, 106.79) 387.04 (272.79, 509.90)
    Yes (N = 57) 28.00 (26.00, 37.50) 21.26 (19.6, 24.42) 21.00 (5.93%) 80.08 (56.27, 122.17) 64.27 (46.28, 88.20) 372.50 (285.82, 615.75)
    P-value 0.555 0.125 < 0.001 0.388 0.197 0.419
    Coronary Heart Disease
    No (N = 885) 28.00 (26.00, 33.00) 20.82 (19.23, 23.39) 333.00 (94.07%) 90.42 (60.58, 122.17) 71.79 (45.66, 106.79) 388.28 (274.42, 511.81)
    Yes (N = 70) 28.00 (27.00, 40.25) 21.11 (19.31, 23.09) 21.00 (5.93%) 80.80 (53.28, 122.71) 69.33 (48.50, 87.80) 365.41 (224.89, 531.62)
    P-value 0.023 0.858 < 0.001 0.185 0.694 0.474
    Group Riboflavin (mg) Thiamine (mg) Vitamin A (μg) Vitamin B6 (mg) Vitamin C (mg) Vitamin E (mg)
    Hypertension
    No (N = 898) 1.41 (0.92, 2.05) 1.20 (0.82, 1.63) 925.54 (517.59, 1, 710.44) 0.24 (0.14, 0.44) 120.08 (58.28, 209.39) 40.14 (24.87, 60.68)
    Yes (N = 57) 1.32 (0.82, 2.03) 1.16 (0.80, 1.89) 801.00 (284.87, 1, 343.33) 0.24 (0.10, 0.53) 106.95 (61.73, 202.70) 38.23 (20.55, 64.54)
    P-value 0.613 0.904 0.029 0.673 0.625 0.733
    Coronary Heart Disease
    No (N = 885) 1.41 (0.93, 2.06) 1.20 (0.82, 1.64) 943.71 (519.69, 1705.79) 0.25 (0.13, 0.44) 121.98 (59.64, 213.96) 40.41 (24.92, 61.45)
    Yes (N = 70) 1.22 (0.76, 1.93) 1.06 (0.74, 1.59) 735.89 (296.19, 1354.86) 0.21 (0.11, 0.46) 98.92 (48.79, 155.37) 34.64 (22.31, 56.64)
    P-value 0.193 0.305 0.025 0.555 0.046 0.249
    Group Niacin (mg) Folic acid (μg) Iodine (μg) Calcium (mg) Potassium (mg) Phosphorus (mg)
    Hypertension
    No (N = 898) 20.38 (13.83, 28.73) 73.84 (41.44, 128.70) 81.86 (42.70, 125.39) 615.41 (375.11, 934.22) 2, 542.93 (1, 615.01, 3, 642.86) 1, 362.93 (919.71, 1, 860.15)
    Yes (N = 57) 18.00 (11.22, 29.79) 62.65 (25.54, 122.97) 104.42 (68.04, 153.63) 597.23 (340.93, 997.81) 2, 482.19 (1, 470.94, 4, 019.28) 1, 277.14 (832.72, 1, 899.95)
    P-value 0.225 0.238 0.013 0.862 0.788 0.524
    Coronary Heart Disease
    No (N = 885) 20.48 (13.76, 29.03) 73.97 (41.39, 127.68) 81.89 (42.21, 124.60) 618.73 (380.44, 935.29) 2,560.09 (1,637.66, 3,668.76) 1,362.79 (918.85, 1,878.76)
    Yes (N = 70) 18.04 (10.95, 26.21) 59.07 (27.64, 146.35) 101.22 (68.07, 171.15) 543.73 (343.58, 939.36) 2,322.45 (1,449.14, 3,353.92) 1,183.31 (782.70, 1,812.27)
    P-value 0.119 0.292 0.002 0.247 0.181 0.221
    Group Magnesium (mg) Manganese (mg) Sodium (mg) Iron (mg) Copper (mg) Selenium (μg)
    Hypertension
    No (N = 898) 440.03 (298.73, 645.32) 7.53 (5.34, 10.47) 2,568.41 (1,704.26, 3,732.52) 25.70 (17.67, 36.19) 3.40 (2.33, 4.94) 63.46 (39.46, 94.65)
    Yes (N = 57) 433.98 (260.22, 675.52) 7.22 (4.78, 11.47) 3,026.25 (2,014.28, 4,098.46) 25.03 (16.99, 41.12) 3.28 (2.29, 5.05) 56.61 (37.66, 95.31)
    P-value 0.806 0.790 0.111 0.887 0.741 0.387
    Coronary Heart Disease
    No (N = 885) 442.46 (298.1, 647.99) 7.57 (5.33, 10.46) 2,562.77 (1,700.28, 3,728.87) 25.67 (17.67, 36.73) 3.41 (2.35, 4.92) 63.46 (39.40, 95.16)
    Yes (N = 70) 412.58 (271.69, 595.50) 6.61 (5.13, 10.96) 2,983.25 (1,941.12, 4,107.40) 23.94 (17.17, 36.85) 3.23 (2.21, 5.03) 55.46 (34.62, 85.42)
    P-value 0.342 0.347 0.041 0.740 0.247 0.175
    Group Zinc (mg) Phenylalanine (mg) Alanine (mg) Methionine (mg) Glycine (mg) Glutamic (mg)
    Hypertension
    No (N = 898) 14.37 (10.29, 20.04) 2, 452.74 (1, 429.96, 3, 503.79) 2, 704.55 (1, 582.74, 4, 057.18) 804.74 (471.40, 1, 215.04) 2,491.57 (1,430.86, 3,693.00) 10,006.82 (6,099.84, 14,887.29)
    Yes (N = 57) 13.36 (8.73, 19.64) 2, 102.83 (1, 499.31, 3, 688.03) 2, 171.41 (1, 622.00, 4, 272.82) 645.85 (465.14, 1, 219.02) 2,094.41 (1,495.31, 3,764.14) 9,515.27 (6,221.20, 15,955.90)
    P-value 0.355 0.557 0.357 0.17 0.404 0.913
    Coronary Heart Disease
    No (N = 885) 14.39 (10.30, 20.05) 2, 450.90 (1, 445.22, 3, 531.06) 2, 709.43 (1, 601.39, 4, 072.64) 806.53 (478.10, 1, 227.53) 2,491.04 (1,447.51, 3,729.27) 10,167.11 (6,133.60, 14,999.23)
    Yes (N = 70) 12.71 (8.58, 19.92) 1, 964.76 (1, 330.83, 3, 073.76) 2, 274.25 (1, 465.48, 3, 518.46) 650.94 (411.30, 1, 103.53) 2,073.89 (1,408.37, 3,299.27) 8,312.50 (5,751.56, 13,982.29)
    P-value 0.249 0.147 0.115 0.053 0.172 0.216
    Group Cystine (mg) Arginine (mg) Lysine (mg) Tyrosine (mg) Leucine (mg) Proline (mg)
    Hypertension
    No (N = 898) 844.43 (494.29, 1, 259.87) 3, 335.42 (1, 923.87, 4, 976.38) 3, 206.37 (1, 909.13, 4, 869.15) 1, 819.72 (1, 077.51, 2, 674.60) 4,175.34 (2,465.20, 6,157.57) 3,051.24 (1,844.42, 4,506.25)
    Yes (N = 57) 838.53 (484.25, 1, 484.28) 2, 523.52 (1, 886.05, 5, 025.71) 2, 604.95 (1, 729.35, 4, 460.87) 1, 501.33 (1, 126.23, 2, 802.08) 3,535.24 (2,626.79, 6,196.59) 3,271.71 (1,821.18, 5,588.25)
    P-value 0.629 0.237 0.130 0.443 0.474 0.467
    Coronary Heart Disease
    No (N = 885) 854.68 (497.82, 1, 290.68) 3, 337.59 (1, 922.76, 5, 003.71) 3, 208.75 (1, 916.36, 4, 930.73) 1, 819.53 (1, 086.62, 2, 684.79) 4,178.11 (2,487.75, 6,200.85) 3,117.56 (1,847.31, 4,557.99)
    Yes (N = 70) 710.08 (463.58, 1, 202.81) 2, 815.21 (1, 882.05, 4, 812.81) 2, 597.67 (1, 734.08, 4, 404.98) 1, 477.30 (976.56, 2, 359.55) 3,432.64 (2,230.87, 5,298.00) 2,633.85 (1,762.23, 4,403.17)
    P-value 0.223 0.198 0.090 0.118 0.119 0.226
    Group Tryptophan (mg) Serine (mg) Threonine (mg) Aspartic (mg) Valine (mg) Isoleucine (mg) Histidine (mg)
    Hypertension
    No (N = 898) 682.79 (410.16, 998.28) 2,443.07 (1,444.74, 2,174.30 (1,283.10, 4,910.27 (2,923.00, 2,634.84 (1,583.07, 2,361.87 (1,420.43, 1,367.87 (812.18,
    3,512.75) 3,169.26) 7,249.60) 3,837.36) 3,490.25) 2,034.38)
    Yes (N = 57) 584.06 (445.65, 1006.89) 2,133.17 (1,504.37, 1,809.59 (1,357.18, 3,784.74 (2,772.53, 2,303.76 (1,681.28, 1,932.22 (1,511.23, 1,128.85 (852.37,
    3,817.04) 3,271.83) 7,818.86) 4,042.45) 3,764.42) 2,121.03)
    P-value 0.630 0.688 0.443 0.258 0.497 0.349 0.429
    Coronary Heart Disease
    No (N = 885) 683.64 (417.80, 1009.06) 2,443.68 (1,463.02, 2,181.23 (1,303.60, 4,919.08 (2,956.43, 2,635.44 (1,601.45, 2,362.93 (1,438.17, 1,367.91 (825.89,
    3,538.73) 3,180.69) 7,277.07) 3,873.66) 3,524.50) 2,039.53)
    Yes (N = 70) 555.24 (373.39, 925.48) 1,950.61 (1,306.93, 1,794.58 (1,200.29, 4,018.36 (2,743.24, 2,165.47 (1,460.66, 1,932.71 (1,321.35, 1,140.37 (730.45,
    3,361.83) 2,818.03) 6,782.53) 3,302.72) 3,220.44) 1,812.08)
    P-value 0.182 0.147 0.125 0.119 0.136 0.130 0.136
    Data are presented as numbers (percentage) for categorical variables or 50th (25th, 75th) for continuous variables.
    下载: 导出CSV

    Table  2.   ORs and 95% CIs for hypertension and coronary heart disease according to the quartiles of nutrient density.

    Nutrient density Crude Model 1
    OR 95% CI P-value OR 95% CI P-value
    Hypertension
        Protein 0.661** 0.512–0.853 0.001 0.658** 0.506–0.856 0.002
        Fat 0.949 0.747–0.206 0.669 0.962 0.756–0.224 0.755
        Carbohydrate 1.263 0.989–0.613 0.061 1.248 0.972–0.603 0.083
    Coronary heart disease
        Protein 0.829 0.664–0.033 0.095 0.837 0.667–0.050 0.124
        Fat 1.236 0.991–0.543 0.060 1.231 0.985–0.537 0.067
        Carbohydrate 0.986 0.793–0.226 0.902 0.975 0.779–0.219 0.822
    CI, confidence interval; OR, odds ratio; Crude has not been adjusted by any potential factors; Model 1 has been adjusted by age, gender and body mass index; *P < 0.05 or **P < 0.01.
    下载: 导出CSV

    Table  3.   Associations between the quartiles of nutrient density and hypertension

    Nutrient density Crude Model 1
    OR 95% CI P-value OR 95% CI P-value
    Vitamins
        Riboflavin 0.827 0.649–0.055 0.126 0.823 0.644–0.052 0.120
        Thiamine 0.948 0.746–0.205 0.6610.922 0.721–0.178 0.516
        Vitamin A 0.706** 0.550–0.907 0.0070.678** 0.525–0.875 0.003
        Vitamin B6 0.879 0.691–0.119 0.2950.863 0.676–0.102 0.238
        Vitamin C 0.906 0.712–0.152 0.4210.900 0.698–0.160 0.415
        Vitamin E 0.948 0.746–0.205 0.6610.970 0.760–0.238 0.806
        Niacin 0.584** 0.447–0.762 < 0.0010.588** 0.449–0.771 < 0.001
        Folic acid 0.816 0.640–0.041 0.1010.805 0.630–0.028 0.083
    Minerals
        Lodine 1.305* 1.020–0.669 0.0341.316* 1.026–0.688 0.031
        Calcium 0.920 0.723–0.169 0.4950.920 0.716–0.182 0.514
        Potassium 0.866 0.680–0.102 0.2420.857 0.665–0.104 0.232
        Phosphorus 0.777* 0.608–0.994 0.0440.778* 0.606–0.999 0.049
        Magnesium 0.892 0.702–0.135 0.3540.868 0.673–0.119 0.273
        Manganese 0.866 0.680–0.102 0.2420.815 0.635–0.046 0.108
        Sodium 1.187 0.932–0.513 0.1651.220 0.953–0.562 0.114
        Iron 0.892 0.702–0.135 0.3540.877 0.686–0.120 0.293
        Copper 1.037 0.816–0.317 0.7681.018 0.798–0.298 0.885
        Selenium 0.719* 0.560–0.923 0.0100.718* 0.558–0.924 0.010
        Zinc 0.683** 0.531–0.880 0.0030.672** 0.520–0.868 0.002
    Amino acids
        Phenylalanine 0.934 0.734–0.187 0.5750.949 0.739–0.220 0.685
        Alanine 0.840 0.659–0.070 0.1580.852 0.661–0.097 0.214
        Methionine 0.730* 0.569–0.936 0.0130.740* 0.572–0.958 0.022
        Glycine 0.892 0.702–0.135 0.3540.907 0.706–0.166 0.447
        Glutamic 1.052 0.828–0.337 0.6771.074 0.838–0.377 0.572
        Cystine 1.117 0.878–0.422 0.3661.129 0.884–0.442 0.331
        Arginine 0.753* 0.588–0.964 0.0250.757* 0.586–0.978 0.033
        Lysine 0.706** 0.550–0.907 0.0070.715* 0.550–0.929 0.012
        Tyrosine 0.840 0.659–0.070 0.1580.848 0.658–0.093 0.202
        Leucine 0.920 0.723–0.169 0.4950.937 0.730–0.203 0.611
        Proline 1.117 0.878–0.422 0.3661.141 0.890–0.463 0.297
        Tryptophan 0.920 0.723–0.169 0.4950.940 0.732–0.206 0.625
        Serine 0.948 0.746–0.205 0.6610.961 0.749–0.233 0.756
        Threonine 0.866 0.680–0.102 0.2420.880 0.684–0.132 0.321
        Aspartic 0.730* 0.569–0.936 0.0130.731* 0.563–0.948 0.018
        Valine 0.920 0.723–0.169 0.4950.936 0.730–0.202 0.606
        Lsoleucine 0.853 0.670–0.086 0.1970.859 0.668–0.104 0.235
        Histidine 0.879 0.691–0.119 0.2950.898 0.698–0.154 0.400
    Notes: CI, confidence interval; OR, odds ratio; Crude has not been adjusted by any potential factors; Model 1 has been adjusted by age, gender and Body Mass Index; *P < 0.05 or **P < 0.01.
    下载: 导出CSV

    Table  4.   Associations between the quartiles of nutrient density and coronary heart disease

    Nutrient density Crude Model 1
    OR 95% CI P-value OR 95% CI P-value
    Vitamins
        Riboflavin 0.882 0.709–0.098 0.262 0.856 0.685–0.070 0.172
        Thiamine 0.927 0.745–0.153 0.498 0.885 0.706–0.108 0.285
        Vitamin A 0.829 0.664–0.033 0.095 0.808 0.644–0.015 0.066
        Vitamin B6 0.951 0.764–0.182 0.648 0.929 0.745–0.158 0.510
        Vitamin C 0.871 0.700–0.085 0.218 0.813 0.644–0.026 0.081
        Vitamin E 0.905 0.727–0.125 0.368 0.906 0.726–0.131 0.383
        Niacin 0.728** 0.581–0.912 0.006 0.752* 0.597–0.946 0.015
        Folic acid 0.964 0.775–0.199 0.742 0.939 0.754–0.169 0.572
    Minerals
        Lodine 1.336* 1.068–0.672 0.011 1.301* 1.037–0.634 0.023
        Calcium 0.974 0.784–0.211 0.815 0.927 0.737–0.165 0.515
        Potassium 0.893 0.718–0.112 0.312 0.841 0.668–0.059 0.141
        Phosphorus 0.882 0.709–0.098 0.262 0.877 0.700–0.098 0.253
        Magnesium 0.905 0.727–0.125 0.368 0.846 0.672–0.067 0.157
        Manganese 0.893 0.718–0.112 0.312 0.846 0.675–0.060 0.145
        Sodium 1.267* 1.014–0.582 0.037 1.253 0.997–0.576 0.053
        Iron 0.999 0.803–0.242 0.990 0.964 0.772–0.205 0.748
        Copper 0.916 0.736–0.139 0.430 0.878 0.704–0.095 0.248
        Selenium 0.851 0.683–0.060 0.149 0.839 0.672–0.049 0.124
        Zinc 0.850 0.682–0.059 0.147 0.831 0.665–0.039 0.104
    Amino acids
        Phenylalanine 0.916 0.736–0.139 0.430 0.934 0.743–0.173 0.555
        Alanine 0.850 0.682–0.059 0.147 0.864 0.686–0.088 0.213
        Methionine 0.797* 0.639–0.996 0.046 0.811 0.643–0.023 0.077
        Glycine 0.871 0.700–0.085 0.218 0.891 0.708–0.121 0.324
        Glutamic 0.939 0.755–0.168 0.570 0.953 0.759–0.195 0.675
        Cystine 0.986 0.793–0.226 0.902 0.995 0.797–0.243 0.965
        Arginine 0.882 0.709–0.098 0.262 0.893 0.711–0.121 0.327
        Lysine 0.818 0.656–0.020 0.075 0.834 0.661–0.053 0.127
        Tyrosine 0.860 0.691–0.072 0.180 0.873 0.693–0.100 0.249
        Leucine 0.939 0.755–0.168 0.570 0.967 0.770–0.215 0.775
        Proline 0.974 0.784–0.211 0.815 0.990 0.790–0.240 0.929
        Tryptophan 0.939 0.755–0.168 0.570 0.960 0.765–0.206 0.728
        Serine 0.871 0.700–0.085 0.218 0.883 0.702–0.110 0.286
        Threonine 0.905 0.727–0.125 0.368 0.924 0.735–0.162 0.501
        Aspartic 0.85 0.682–0.059 0.147 0.858 0.681–0.082 0.195
        Valine 0.916 0.736–0.139 0.430 0.937 0.746–0.177 0.574
        Lsoleucine 0.905 0.727–0.125 0.368 0.918 0.732–0.153 0.462
        Histidine 0.882 0.709–0.098 0.262 0.903 0.718–0.137 0.386
    CI, confidence interval; OR, odds ratio; Crude has not been adjusted by any potential factors; Model 1 has been adjusted by age, gender and body mass index; *P < 0.05 or **P < 0.01.
    下载: 导出CSV

    Table  5.   Receiver operator characteristic analysis between nutrient density and hypertension

         AUC (95% CI) Best cutoff Sensitivity (%) Specificity (%) Maximum of Youden index*
    Protein
        Protein 0.549 (0.471–0.628) 0.059 63.20 50.90 0.14
        Model of Protein# 0.600 (0.521–0.679) 0.075 40.40 81.10 0.22
    Vitamins
        vitamin A 0.605 (0.526–0.685) 0.079 42.10 76.20 0.18
        Model of vitamin A# 0.643 (0.559–0.727) 0.062 66.70 62.10 0.29
        Nicotinic acid 0.657 (0.583–0.730) 0.088 49.10 76.60 0.26
        Model of Nicotinic acid# 0.684 (0.612–0.756) 0.067 68.40 66.40 0.35
    Minerals
        Lodine 0.582 (0.507–0.657) 0.058 61.40 50.80 0.12
        Model of Iodine# 0.628 (0.552–0.704) 0.060 61.40 59.20 0.21
        Phosphorus 0.577 (0.501–0.654) 0.074 36.80 75.80 0.13
        Model of Phosphorus# 0.619 (0.544–0.694) 0.044 89.50 30.70 0.20
        Selenium 0.600 (0.528–0.673) 0.057 70.20 51.30 0.22
        Model of Selenium# 0.636 (0.563–0.709) 0.054 77.20 51.00 0.28
        Zinc 0.615 (0.537–0.692) 0.080 43.90 76.30 0.20
        Model of Zinc# 0.657 (0.584–0.729) 0.062 64.90 61.40 0.26
    Amino acids
        Methionine 0.596 (0.523–0.669) 0.057 64.90 51.00 0.16
        Model of Methionine# 0.632 (0.560–0.705) 0.051 75.40 46.80 0.22
        Arginine 0.587 (0.519–0.654) 0.058 64.90 51.00 0.16
        Model of Arginine# 0.625 (0.552–0.699) 0.051 75.40 46.50 0.22
        Lysine 0.605 (0.535–0.676) 0.057 68.40 51.20 0.20
        Model of Lysine# 0.636 (0.562–0.709) 0.051 75.40 48.00 0.23
        Aspartic acid 0.596 (0.527–0.665) 0.057 68.40 51.20 0.20
        Model of Aspartic acid# 0.632 (0.560–0.705) 0.051 73.70 47.30 0.21
    AUC, area under the curve; CI, confidence interval; * Sensitivity + specificity?1; # Model has been adjusted by age, gender and body mass index.
    下载: 导出CSV

    Table  6.   Receiver operator characteristic analysis between nutrient density and coronary heart disease

    AUC (95% CI) Best cutoff Sensitivity (%) Specificity (%) Maximum of Youden index*
    Vitamins
        Nicotinic acid 0.597 (0.527?.667) 0.090 40.00 76.30 0.16
        Model of Nicotinic acid# 0.623 (0.553?.693) 0.067 68.60 53.70 0.22
    Minerals
        Lodine 0.589 (0.519?.658) 0.090 38.60 76.00 0.15
        Model 1 of Iodine# 0.609 (0.540?.678) 0.060 72.90 45.60 0.19
    AUC, area under the curve; CI, confidence interval; * Sensitivity + specificity?1; # Model has been adjusted by age, gender and body mass index.
    下载: 导出CSV
  • [1] Report on Cardiovascular Health and Diseases in China 2021: An Updated Summary. BES, 2022; 35 (7): 573-603.
    [2] Report on Cardiovascular Health and Diseases in China 2022: Key points interpretation. Chin J Cardiovasc Sci, 2023; 28 (4): 297-312. (In Chinese)
    [3] Zhai F Y, Du S F, Wang Z H, et al. Dynamics of the Chinese diet and the role of urbanicity, 1991-2011. Obes Rev, 2014; 15 Suppl 1 (1): 16-26. doi: 10.1111/obr.12124
    [4] Ng S W, Norton E C, Popkin B M. Why have physical activity levels declined among Chinese adults? Findings from the 1991-2006 China health and nutrition surveys. Soc Sci Med, 2009; 68 (7): 1305-1314. doi: 10.1016/j.socscimed.2009.01.035
    [5] Mi Y J, Zhang B, Wang H J, et al. Prevalence and secular trends in obesity among Chinese adults, 1991-2011. Am J Prev Med, 2015; 49 (5): 661-669. doi: 10.1016/j.amepre.2015.05.005
    [6] Du S, Batis C, Wang H, et al. Understanding the patterns and trends of sodium intake, potassium intake, and sodium to potassium ratio and their effect on hypertension in China. Am J Clin Nutr, 2014; 99 (2): 334-343. doi: 10.3945/ajcn.113.059121
    [7] Wang C, Zhang Z, Zhou M, et al. Nonlinear relationship between extreme temperature and mortality in different temperature zones: A systematic study of 122 communities across the mainland of China. Sci Total Environ, 2017; 586: 96-106. doi: 10.1016/j.scitotenv.2017.01.218
    [8] Wang M, Huang Y, Song Y, et al. Study on environmental and lifestyle factors for the north-south differential of cardiovascular disease in China. Front Public Health, 2021; 9: 615152. doi: 10.3389/fpubh.2021.615152
    [9] Anderson C A, Appel L J, Okuda N, et al. Dietary sources of sodium in China, Japan, the United Kingdom, and the United States, women and men aged 40 to 59 years: the INTERMAP study. J Am Diet Assoc, 2010; 110 (5): 736-745. doi: 10.1016/j.jada.2010.02.007
    [10] Wu Z, Yao C, Zhao D, et al. Multiprovincial monitoring of the trends and determinants of cardiovascular diseases (Sino-MONCA project)--IIl. Association between risk factor levels and cardiovascular disease. Lung and Blood Vessel Medical Center, 1998 (2): 5-8. (In Chinese)
    [11] PRC National Blood Pressure Survey Cooperative Group. Prevalence and development trends of hypertension in China. Chinese Journal of Hypertension, 1995 (S1): 9-15. (In Chinese)
    [12] Guo P, Zhu H, Pan H, et al. Dose-response relationships between dairy intake and chronic metabolic diseases in a Chinese population. J Diabetes, 2019; 11 (11): 846-856. doi: 10.1111/1753-0407.12921
    [13] Guzik T J, Touyz R M. Oxidative stress, inflammation, and vascular aging in hypertension. Hypertension, 2017; 70 (4): 660-667. doi: 10.1161/HYPERTENSIONAHA.117.07802
    [14] Loperena R, Harrison D G. Oxidative stress and hypertensive diseases. Med Clin North Am, 2017; 101 (1): 169-193. doi: 10.1016/j.mcna.2016.08.004
    [15] Ross R. The pathogenesis of atherosclerosis: a perspective for the 1990s. Nature, 1993; 362 (6423): 801-809. doi: 10.1038/362801a0
    [16] Fuster V, Badimon L, Badimon J J, et al. The pathogenesis of coronary artery disease and the acute coronary syndromes (2). N Engl J Med, 1992; 326 (5): 310-318. doi: 10.1056/NEJM199201303260506
    [17] Achan V, Tran C T, Arrigoni F, et al. all-trans-Retinoic acid increases nitric oxide synthesis by endothelial cells: a role for the induction of dimethylarginine dimethylaminohydrolase. Circ Res, 2002; 90 (7): 764-769. doi: 10.1161/01.RES.0000014450.40853.2B
    [18] Jialal I, Norkus E P, Cristol L, et al. beta-Carotene inhibits the oxidative modification of low-density lipoprotein. Biochim Biophys Acta, 1991; 1086 (1): 134-138. doi: 10.1016/0005-2760(91)90164-D
    [19] Reifen R. Vitamin A as an anti-inflammatory agent. Proc Nutr Soc, 2002; 61 (3): 397-400. doi: 10.1079/PNS2002172
    [20] Wiedermann U, Chen X J, Enerbäck L, et al. Vitamin A deficiency increases inflammatory responses. Scand J Immunol, 1996; 44 (6): 578-584. doi: 10.1046/j.1365-3083.1996.d01-351.x
    [21] Sahebkar A. Effect of niacin on endothelial function: a systematic review and meta-analysis of randomized controlled trials. Vasc Med, 2014; 19 (1): 54-66. doi: 10.1177/1358863X13515766
    [22] Wu B J, Yan L, Charlton F, et al. Evidence that niacin inhibits acute vascular inflammation and improves endothelial dysfunction independent of changes in plasma lipids. Arterioscler Thromb Vasc Biol, 2010; 30 (5): 968-975. doi: 10.1161/ATVBAHA.109.201129
    [23] Zeman M, Vecka M, Perlík F, et al. Pleiotropic effects of niacin: Current possibilities for its clinical use. Acta Pharm, 2016; 66 (4): 449-469. doi: 10.1515/acph-2016-0043
    [24] Thoenes M, Oguchi A, Nagamia S, et al. The effects of extended-release niacin on carotid intimal media thickness, endothelial function and inflammatory markers in patients with the metabolic syndrome. Int J Clin Pract, 2007; 61 (11): 1942-1948. doi: 10.1111/j.1742-1241.2007.01597.x
    [25] Kuvin J T, Dave D M, Sliney K A, et al. Effects of extended-release niacin on lipoprotein particle size, distribution, and inflammatory markers in patients with coronary artery disease. Am J Cardiol, 2006; 98 (6): 743-745. doi: 10.1016/j.amjcard.2006.04.011
    [26] Tavintharan S, Kashyap M L. The benefits of niacin in atherosclerosis. Curr Atheroscler Rep, 2001; 3 (1): 74-82. doi: 10.1007/s11883-001-0014-y
    [27] Rust P, Ekmekcioglu C. Impact of salt intake on the pathogenesis and treatment of hypertension. Adv Exp Med Biol, 2017; 956: 61-84. doi: 10.1007/5584_2016_147
    [28] Yadav K, Pandav C S. National iodine deficiency disorders control programme: Current status & future strategy. Indian J Med Res, 2018; 148 (5): 503-510. doi: 10.4103/ijmr.IJMR_1717_18
    [29] Liu J, Liu L, Jia Q, et al. Effects of excessive iodine intake on blood glucose, blood pressure, and blood lipids in adults. Biol Trace Elem Res, 2019; 192 (2): 136-144. doi: 10.1007/s12011-019-01668-9
    [30] Bindels R J, Van Den Broek L A, Hillebrand S J, et al. A high phosphate diet lowers blood pressure in spontaneously hypertensive rats. Hypertension, 1987; 9 (1): 96-102. doi: 10.1161/01.HYP.9.1.96
    [31] Felsenfeld A J, Rodriguez M. Phosphorus, regulation of plasma calcium, and secondary hyperparathyroidism: a hypothesis to integrate a historical and modern perspective. J Am Soc Nephrol, 1999; 10 (4): 878-890. doi: 10.1681/ASN.V104878
    [32] Elliott P, Kesteloot H, Appel L J, et al. Dietary phosphorus and blood pressure: international study of macro- and micro-nutrients and blood pressure. Hypertension, 2008; 51 (3): 669-675. doi: 10.1161/HYPERTENSIONAHA.107.103747
    [33] Resnick L M. The role of dietary calcium in hypertension: a hierarchical overview. Am J Hypertens, 1999; 12 (1 Pt 1): 99-112. doi: 10.1016/S0895-7061(98)00275-1
    [34] Das U N. Nutritional factors in the pathobiology of human essential hypertension. Nutrition, 2001; 17 (4): 337-346. doi: 10.1016/S0899-9007(00)00586-4
    [35] Nawrot T S, Staessen J A, Roels H A, et al. Blood pressure and blood selenium: a cross-sectional and longitudinal population study. Eur Heart J, 2007; 28 (5): 628-633. doi: 10.1093/eurheartj/ehl479
    [36] Hu X F, Eccles K M, Chan H M. High selenium exposure lowers the odds ratios for hypertension, stroke, and myocardial infarction associated with mercury exposure among Inuit in Canada. Environ Int, 2017; 102: 200-206. doi: 10.1016/j.envint.2017.03.002
    [37] Kim J. Dietary zinc intake is inversely associated with systolic blood pressure in young obese women. Nutr Res Pract, 2013; 7 (5): 380-384. doi: 10.4162/nrp.2013.7.5.380
    [38] Kasai M, Miyazaki T, Takenaka T, et al. Excessive zinc intake increases systemic blood pressure and reduces renal blood flow via kidney angiotensin Ⅱ in rats. Biol Trace Elem Res, 2012; 150 (1-3): 285-290. doi: 10.1007/s12011-012-9472-z
    [39] Bergomi M, Rovesti S, Vinceti M, et al. Zinc and copper status and blood pressure. J Trace Elem Med Biol, 1997; 11 (3): 166-169. doi: 10.1016/S0946-672X(97)80047-8
    [40] Williams C R, Mistry M, Cheriyan A M, et al. Zinc deficiency induces hypertension by promoting renal Na (+) reabsorption. Am J Physiol Renal Physiol, 2019; 316 (4): F646-F653. doi: 10.1152/ajprenal.00487.2018
    [41] Altorf-Van Der Kuil W, Engberink M F, Brink E J, et al. Dietary protein and blood pressure: a systematic review. PLoS One, 2010; 5 (8): e12102. doi: 10.1371/journal.pone.0012102
    [42] Robin S, Maupoil V, Groubatch F, et al. Effect of a methionine-supplemented diet on the blood pressure of Wistar-Kyoto and spontaneously hypertensive rats. Br J Nutr, 2003; 89 (4): 539-548. doi: 10.1079/BJN2002810
    [43] Ditscheid B, Fünfstück R, Busch M, et al. Effect of L-methionine supplementation on plasma homocysteine and other free amino acids: a placebo-controlled double-blind cross-over study. Eur J Clin Nutr, 2005; 59 (6): 768-775. doi: 10.1038/sj.ejcn.1602138
    [44] Raghavan S A, Dikshit M. Vascular regulation by the L-arginine metabolites, nitric oxide and agmatine. Pharmacol Res, 2004; 49 (5): 397-414. doi: 10.1016/j.phrs.2003.10.008
    [45] Altorf-Van Der Kuil W, Engberink M F, De Neve M, et al. Dietary amino acids and the risk of hypertension in a Dutch older population: the Rotterdam Study. Am J Clin Nutr, 2013; 97 (2): 403-410. doi: 10.3945/ajcn.112.038737
    [46] Rinschen M, Palygin O, Golosova D, et al. Accelerated lysine metabolism conveys kidney protection in salt-sensitive hypertension. Nat Commun, 2022; 13 (1): 4099. doi: 10.1038/s41467-022-31670-0
    [47] Hou E, Sun N, Zhang F, et al. Malate and Aspartate Increase L-Arginine and Nitric Oxide and Attenuate Hypertension. Cell Rep, 2017; 19 (8): 1631-1639. doi: 10.1016/j.celrep.2017.04.071
  • fzm-4-1-1_ESM.pdf
  • 加载中
图(2) / 表(6)
计量
  • 文章访问数:  409
  • HTML全文浏览量:  238
  • PDF下载量:  36
  • 被引次数: 0
出版历程
  • 收稿日期:  2023-10-28
  • 录用日期:  2023-12-12
  • 网络出版日期:  2024-05-11

目录

    /

    返回文章
    返回