
Chinese General Practice ›› 2024, Vol. 27 ›› Issue (09): 1118-1125.DOI: 10.12114/j.issn.1007-9572.2023.0564
Special Issue: 呼吸疾病文章合辑
• Original Research • Previous Articles Next Articles
Received:2023-08-29
Revised:2023-10-07
Published:2024-03-20
Online:2023-12-19
Contact:
JIANG Yi
通讯作者:
蒋祎
作者简介:基金资助:
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URL: https://www.chinagp.net/EN/10.12114/j.issn.1007-9572.2023.0564
| 国家 | 年龄组(岁) | 患病率(1/10万) | 死亡率(1/10万) | DALY率(1/10万) | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 男性 | 女性 | 合计 | 男性 | 女性 | 合计 | 男性 | 女性 | 合计 | ||
| 巴西 | 40~44 | 1 571.11 | 1 526.31 | 1 548.09 | 3.55 | 2.37 | 2.95 | 230.85 | 188.50 | 209.09 |
| 45~49 | 2 680.33 | 2 570.18 | 2 623.49 | 7.43 | 5.22 | 6.29 | 419.65 | 344.95 | 381.10 | |
| 50~54 | 4 321.04 | 4 105.57 | 4 208.71 | 16.23 | 11.45 | 13.74 | 774.48 | 619.97 | 693.93 | |
| 55~59 | 6 050.39 | 5 682.67 | 5 855.96 | 32.58 | 22.33 | 27.16 | 1 292.60 | 985.33 | 1 130.13 | |
| 60~64 | 7 965.96 | 7 220.80 | 7 565.93 | 67.43 | 42.51 | 54.05 | 2 180.66 | 1 503.36 | 1 817.06 | |
| 65~69 | 10 741.84 | 8 894.69 | 9 738.80 | 124.48 | 74.78 | 97.49 | 3 307.71 | 2 128.52 | 2 667.39 | |
| 70~74 | 14 600.61 | 10 870.01 | 12 542.76 | 229.83 | 135.03 | 177.54 | 4 920.90 | 3 027.53 | 3 876.49 | |
| 75~79 | 19 668.81 | 13 506.41 | 16 164.03 | 401.08 | 227.61 | 302.42 | 6 757.75 | 3 974.39 | 5 174.75 | |
| ≥80 | 30 451.96 | 22 500.20 | 25 560.23 | 901.13 | 574.57 | 700.24 | 9 454.07 | 5 957.39 | 7 303.00 | |
| 合计 | 2 907.50 | 2 843.23 | 2 874.61 | 35.16 | 28.41 | 31.71 | 735.02 | 592.04 | 661.86 | |
| 俄罗斯 | 40~44 | 1 513.35 | 1 296.28 | 1 401.14 | 3.58 | 1.01 | 2.25 | 241.86 | 146.16 | 192.39 |
| 45~49 | 2 641.22 | 1 654.92 | 2 127.44 | 6.83 | 1.84 | 4.23 | 414.74 | 200.62 | 303.20 | |
| 50~54 | 4 233.51 | 2 110.07 | 3 100.57 | 15.38 | 3.38 | 8.98 | 774.83 | 279.58 | 510.59 | |
| 55~59 | 5 923.35 | 2 583.44 | 4 078.37 | 31.27 | 6.43 | 17.54 | 1 294.30 | 391.78 | 795.74 | |
| 60~64 | 7 932.33 | 3 079.26 | 5 124.01 | 69.06 | 12.19 | 36.15 | 2 292.20 | 552.76 | 1 285.64 | |
| 65~69 | 10 897.48 | 3 640.93 | 6 478.42 | 117.26 | 21.49 | 58.94 | 3 240.71 | 749.30 | 1 723.50 | |
| 70~74 | 14 119.31 | 4 426.32 | 7 947.03 | 204.56 | 40.27 | 99.94 | 4 542.26 | 1 062.50 | 2 326.43 | |
| 75~79 | 17 195.63 | 5 844.32 | 9 244.49 | 328.79 | 73.49 | 149.96 | 5 739.51 | 1 488.32 | 2 761.72 | |
| ≥80 | 21 669.61 | 10 539.63 | 13 367.53 | 513.42 | 188.55 | 271.09 | 6 031.97 | 2 425.04 | 3 341.49 | |
| 合计 | 3 312.11 | 2 115.32 | 2 672.54 | 34.35 | 16.61 | 24.87 | 836.59 | 394.05 | 600.09 | |
| 印度 | 40~44 | 1 621.36 | 1 637.83 | 1 629.38 | 6.31 | 3.70 | 5.04 | 521.48 | 393.69 | 459.26 |
| 45~49 | 3 001.61 | 3 044.66 | 3 022.60 | 16.18 | 8.67 | 12.52 | 1 092.70 | 766.11 | 933.48 | |
| 50~54 | 4 765.64 | 4 840.25 | 4 802.50 | 42.65 | 27.95 | 35.39 | 2 230.73 | 1 667.80 | 1 952.68 | |
| 55~59 | 6 440.56 | 6 584.27 | 6 512.70 | 97.18 | 53.40 | 75.21 | 4 014.27 | 2 575.81 | 3 292.22 | |
| 60~64 | 8 687.43 | 8 966.55 | 8 829.29 | 205.78 | 131.08 | 167.82 | 6 870.49 | 4 774.05 | 5 804.98 | |
| 65~69 | 13 047.93 | 13 704.15 | 13 383.22 | 390.77 | 247.26 | 317.45 | 10 807.34 | 7 461.86 | 9 097.99 | |
| 70~74 | 18 482.04 | 19 511.02 | 19 009.11 | 713.85 | 504.33 | 606.53 | 15 961.25 | 11 994.89 | 13 929.58 | |
| 75~79 | 24 280.39 | 25 803.50 | 25 090.58 | 1 181.26 | 818.66 | 988.38 | 20 816.40 | 15 397.99 | 17 934.19 | |
| ≥80 | 32 764.45 | 35 206.32 | 34 147.55 | 2 346.66 | 1 953.88 | 2 124.19 | 27 757.36 | 23 841.74 | 25 539.52 | |
| 合计 | 2 537.44 | 2 919.17 | 2 723.41 | 69.33 | 59.63 | 64.60 | 1 648.43 | 1 398.36 | 1 526.60 | |
| 中国 | 40~44 | 846.81 | 997.35 | 920.52 | 3.14 | 1.63 | 2.40 | 220.78 | 198.81 | 210.02 |
| 45~49 | 1 399.68 | 1 564.53 | 1 480.54 | 5.79 | 3.03 | 4.43 | 364.53 | 316.20 | 340.83 | |
| 50~54 | 2 441.83 | 2 627.83 | 2 534.40 | 13.54 | 6.64 | 10.10 | 713.78 | 559.22 | 636.86 | |
| 55~59 | 3 836.25 | 4 063.38 | 3 949.28 | 28.95 | 13.87 | 21.45 | 1 267.11 | 925.75 | 1 097.23 | |
| 60~64 | 5 743.86 | 6 128.27 | 5 935.16 | 67.35 | 33.77 | 50.64 | 2 361.60 | 1 644.62 | 2 004.81 | |
| 65~69 | 8 984.10 | 9 852.28 | 9 426.15 | 148.88 | 78.18 | 112.88 | 4 229.80 | 2 936.88 | 3 571.50 | |
| 70~74 | 13 518.18 | 15 026.18 | 14 291.09 | 391.65 | 208.58 | 297.82 | 8 598.37 | 5 645.13 | 7 084.72 | |
| 75~79 | 18 915.99 | 21 320.15 | 20 181.42 | 817.83 | 448.43 | 623.39 | 13 898.57 | 9 066.29 | 11 355.09 | |
| ≥80 | 25 239.30 | 30 901.68 | 28 698.43 | 2 395.19 | 1 429.67 | 1 805.36 | 26 234.08 | 16 591.04 | 20 343.18 | |
| 合计 | 2 768.81 | 3 597.85 | 3 175.37 | 82.25 | 63.27 | 72.94 | 1 523.84 | 1 272.75 | 1 400.71 | |
| 南非 | 40~44 | 1 479.83 | 1 411.38 | 1 445.68 | 4.79 | 1.56 | 3.18 | 396.32 | 290.43 | 343.50 |
| 45~49 | 2 576.99 | 2 131.53 | 2 345.11 | 8.34 | 3.58 | 5.86 | 648.40 | 475.45 | 558.37 | |
| 50~54 | 4 254.41 | 3 279.84 | 3 728.40 | 19.46 | 8.11 | 13.33 | 1 213.23 | 796.41 | 988.26 | |
| 55~59 | 6 009.64 | 4 559.31 | 5 205.52 | 44.04 | 19.10 | 30.21 | 2 114.84 | 1 301.81 | 1 664.07 | |
| 60~64 | 7 892.76 | 5 755.53 | 6 684.05 | 83.10 | 34.39 | 55.55 | 3 202.40 | 1 802.45 | 2 410.66 | |
| 65~69 | 10 662.56 | 6 903.73 | 8 506.13 | 163.65 | 69.28 | 109.51 | 5 012.95 | 2 612.10 | 3 635.59 | |
| 70~74 | 13 939.23 | 7 963.60 | 10 421.28 | 330.51 | 132.47 | 213.92 | 7 849.28 | 3 661.41 | 5 383.82 | |
| 75~79 | 17 799.30 | 9 229.55 | 12 453.51 | 463.74 | 189.30 | 292.54 | 8 907.96 | 4 134.17 | 5 930.08 | |
| ≥80 | 27 221.53 | 14 243.37 | 18 221.47 | 991.47 | 489.42 | 643.31 | 12 563.74 | 6 556.64 | 8 397.95 | |
| 合计 | 1 976.48 | 1 792.78 | 1 882.75 | 25.20 | 17.57 | 21.30 | 733.85 | 570.19 | 650.35 | |
Table 1 Epidemiological status of COPD by gender and age in the BRICS countries in 2019
| 国家 | 年龄组(岁) | 患病率(1/10万) | 死亡率(1/10万) | DALY率(1/10万) | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 男性 | 女性 | 合计 | 男性 | 女性 | 合计 | 男性 | 女性 | 合计 | ||
| 巴西 | 40~44 | 1 571.11 | 1 526.31 | 1 548.09 | 3.55 | 2.37 | 2.95 | 230.85 | 188.50 | 209.09 |
| 45~49 | 2 680.33 | 2 570.18 | 2 623.49 | 7.43 | 5.22 | 6.29 | 419.65 | 344.95 | 381.10 | |
| 50~54 | 4 321.04 | 4 105.57 | 4 208.71 | 16.23 | 11.45 | 13.74 | 774.48 | 619.97 | 693.93 | |
| 55~59 | 6 050.39 | 5 682.67 | 5 855.96 | 32.58 | 22.33 | 27.16 | 1 292.60 | 985.33 | 1 130.13 | |
| 60~64 | 7 965.96 | 7 220.80 | 7 565.93 | 67.43 | 42.51 | 54.05 | 2 180.66 | 1 503.36 | 1 817.06 | |
| 65~69 | 10 741.84 | 8 894.69 | 9 738.80 | 124.48 | 74.78 | 97.49 | 3 307.71 | 2 128.52 | 2 667.39 | |
| 70~74 | 14 600.61 | 10 870.01 | 12 542.76 | 229.83 | 135.03 | 177.54 | 4 920.90 | 3 027.53 | 3 876.49 | |
| 75~79 | 19 668.81 | 13 506.41 | 16 164.03 | 401.08 | 227.61 | 302.42 | 6 757.75 | 3 974.39 | 5 174.75 | |
| ≥80 | 30 451.96 | 22 500.20 | 25 560.23 | 901.13 | 574.57 | 700.24 | 9 454.07 | 5 957.39 | 7 303.00 | |
| 合计 | 2 907.50 | 2 843.23 | 2 874.61 | 35.16 | 28.41 | 31.71 | 735.02 | 592.04 | 661.86 | |
| 俄罗斯 | 40~44 | 1 513.35 | 1 296.28 | 1 401.14 | 3.58 | 1.01 | 2.25 | 241.86 | 146.16 | 192.39 |
| 45~49 | 2 641.22 | 1 654.92 | 2 127.44 | 6.83 | 1.84 | 4.23 | 414.74 | 200.62 | 303.20 | |
| 50~54 | 4 233.51 | 2 110.07 | 3 100.57 | 15.38 | 3.38 | 8.98 | 774.83 | 279.58 | 510.59 | |
| 55~59 | 5 923.35 | 2 583.44 | 4 078.37 | 31.27 | 6.43 | 17.54 | 1 294.30 | 391.78 | 795.74 | |
| 60~64 | 7 932.33 | 3 079.26 | 5 124.01 | 69.06 | 12.19 | 36.15 | 2 292.20 | 552.76 | 1 285.64 | |
| 65~69 | 10 897.48 | 3 640.93 | 6 478.42 | 117.26 | 21.49 | 58.94 | 3 240.71 | 749.30 | 1 723.50 | |
| 70~74 | 14 119.31 | 4 426.32 | 7 947.03 | 204.56 | 40.27 | 99.94 | 4 542.26 | 1 062.50 | 2 326.43 | |
| 75~79 | 17 195.63 | 5 844.32 | 9 244.49 | 328.79 | 73.49 | 149.96 | 5 739.51 | 1 488.32 | 2 761.72 | |
| ≥80 | 21 669.61 | 10 539.63 | 13 367.53 | 513.42 | 188.55 | 271.09 | 6 031.97 | 2 425.04 | 3 341.49 | |
| 合计 | 3 312.11 | 2 115.32 | 2 672.54 | 34.35 | 16.61 | 24.87 | 836.59 | 394.05 | 600.09 | |
| 印度 | 40~44 | 1 621.36 | 1 637.83 | 1 629.38 | 6.31 | 3.70 | 5.04 | 521.48 | 393.69 | 459.26 |
| 45~49 | 3 001.61 | 3 044.66 | 3 022.60 | 16.18 | 8.67 | 12.52 | 1 092.70 | 766.11 | 933.48 | |
| 50~54 | 4 765.64 | 4 840.25 | 4 802.50 | 42.65 | 27.95 | 35.39 | 2 230.73 | 1 667.80 | 1 952.68 | |
| 55~59 | 6 440.56 | 6 584.27 | 6 512.70 | 97.18 | 53.40 | 75.21 | 4 014.27 | 2 575.81 | 3 292.22 | |
| 60~64 | 8 687.43 | 8 966.55 | 8 829.29 | 205.78 | 131.08 | 167.82 | 6 870.49 | 4 774.05 | 5 804.98 | |
| 65~69 | 13 047.93 | 13 704.15 | 13 383.22 | 390.77 | 247.26 | 317.45 | 10 807.34 | 7 461.86 | 9 097.99 | |
| 70~74 | 18 482.04 | 19 511.02 | 19 009.11 | 713.85 | 504.33 | 606.53 | 15 961.25 | 11 994.89 | 13 929.58 | |
| 75~79 | 24 280.39 | 25 803.50 | 25 090.58 | 1 181.26 | 818.66 | 988.38 | 20 816.40 | 15 397.99 | 17 934.19 | |
| ≥80 | 32 764.45 | 35 206.32 | 34 147.55 | 2 346.66 | 1 953.88 | 2 124.19 | 27 757.36 | 23 841.74 | 25 539.52 | |
| 合计 | 2 537.44 | 2 919.17 | 2 723.41 | 69.33 | 59.63 | 64.60 | 1 648.43 | 1 398.36 | 1 526.60 | |
| 中国 | 40~44 | 846.81 | 997.35 | 920.52 | 3.14 | 1.63 | 2.40 | 220.78 | 198.81 | 210.02 |
| 45~49 | 1 399.68 | 1 564.53 | 1 480.54 | 5.79 | 3.03 | 4.43 | 364.53 | 316.20 | 340.83 | |
| 50~54 | 2 441.83 | 2 627.83 | 2 534.40 | 13.54 | 6.64 | 10.10 | 713.78 | 559.22 | 636.86 | |
| 55~59 | 3 836.25 | 4 063.38 | 3 949.28 | 28.95 | 13.87 | 21.45 | 1 267.11 | 925.75 | 1 097.23 | |
| 60~64 | 5 743.86 | 6 128.27 | 5 935.16 | 67.35 | 33.77 | 50.64 | 2 361.60 | 1 644.62 | 2 004.81 | |
| 65~69 | 8 984.10 | 9 852.28 | 9 426.15 | 148.88 | 78.18 | 112.88 | 4 229.80 | 2 936.88 | 3 571.50 | |
| 70~74 | 13 518.18 | 15 026.18 | 14 291.09 | 391.65 | 208.58 | 297.82 | 8 598.37 | 5 645.13 | 7 084.72 | |
| 75~79 | 18 915.99 | 21 320.15 | 20 181.42 | 817.83 | 448.43 | 623.39 | 13 898.57 | 9 066.29 | 11 355.09 | |
| ≥80 | 25 239.30 | 30 901.68 | 28 698.43 | 2 395.19 | 1 429.67 | 1 805.36 | 26 234.08 | 16 591.04 | 20 343.18 | |
| 合计 | 2 768.81 | 3 597.85 | 3 175.37 | 82.25 | 63.27 | 72.94 | 1 523.84 | 1 272.75 | 1 400.71 | |
| 南非 | 40~44 | 1 479.83 | 1 411.38 | 1 445.68 | 4.79 | 1.56 | 3.18 | 396.32 | 290.43 | 343.50 |
| 45~49 | 2 576.99 | 2 131.53 | 2 345.11 | 8.34 | 3.58 | 5.86 | 648.40 | 475.45 | 558.37 | |
| 50~54 | 4 254.41 | 3 279.84 | 3 728.40 | 19.46 | 8.11 | 13.33 | 1 213.23 | 796.41 | 988.26 | |
| 55~59 | 6 009.64 | 4 559.31 | 5 205.52 | 44.04 | 19.10 | 30.21 | 2 114.84 | 1 301.81 | 1 664.07 | |
| 60~64 | 7 892.76 | 5 755.53 | 6 684.05 | 83.10 | 34.39 | 55.55 | 3 202.40 | 1 802.45 | 2 410.66 | |
| 65~69 | 10 662.56 | 6 903.73 | 8 506.13 | 163.65 | 69.28 | 109.51 | 5 012.95 | 2 612.10 | 3 635.59 | |
| 70~74 | 13 939.23 | 7 963.60 | 10 421.28 | 330.51 | 132.47 | 213.92 | 7 849.28 | 3 661.41 | 5 383.82 | |
| 75~79 | 17 799.30 | 9 229.55 | 12 453.51 | 463.74 | 189.30 | 292.54 | 8 907.96 | 4 134.17 | 5 930.08 | |
| ≥80 | 27 221.53 | 14 243.37 | 18 221.47 | 991.47 | 489.42 | 643.31 | 12 563.74 | 6 556.64 | 8 397.95 | |
| 合计 | 1 976.48 | 1 792.78 | 1 882.75 | 25.20 | 17.57 | 21.30 | 733.85 | 570.19 | 650.35 | |
| 国家 | 指标量化指标 | 标化患病率 | 标化死亡率 | 标化DALY率 | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 时期(年) | 变化值(95%CI)(%) | P值 | 时期(年) | 变化值(95%CI)(%) | P值 | 时期(年) | 变化值(95%CI)(%) | P值 | ||
| 巴西 | APC | 1990—1995 | 0.26(-0.05~0.58) | 0.097 | 1990—1998 | -0.02(-0.36~0.31) | 0.881 | 1990—1998 | 0.03(-0.24~0.31) | 0.806 |
| 1995—2003 | -0.54(-0.72~-0.36) | <0.001 | 1998—2009 | -3.31(-3.56~-3.06) | <0.001 | 1998—2009 | -3.08(-3.28~-2.88) | <0.001 | ||
| 2003—2019 | 0.99(-1.04~-0.93) | <0.001 | 2009—2019 | -1.33(-1.66~-0.99) | <0.001 | 2009—2019 | -1.20(-1.45~-0.95) | <0.001 | ||
| AAPC | 1990—2019 | -0.65(-0.72~-0.57) | <0.001 | 1990—2019 | -1.73(-1.89~-1.56) | <0.001 | 1990—2019 | -1.58(-1.71~-1.45) | <0.001 | |
| 俄罗斯 | APC | 1990—2006 | -0.54(-0.59~-0.49) | <0.001 | 1990—1994 | 4.71(-0.94~10.69) | 0.099 | 1990—1994 | 4.96(-0.05~10.21) | 0.052 |
| 2006—2009 | -1.37(-2.60~-0.12) | 0.033 | 1994—2011 | -3.84(-4.32~-3.36) | <0.001 | 1994—2012 | -3.36(-3.76~-2.95) | <0.001 | ||
| 2009—2019 | -0.79(-0.89~-0.68) | <0.001 | 2011—2019 | -1.15(-3.08~0.82) | 0.236 | 2012—2019 | -1.23(-3.38~0.97) | 0.258 | ||
| AAPC | 1990—2019 | -0.71(-0.84~-0.58) | <0.001 | 1990—2019 | -1.96(-2.87~-1.05) | <0.001 | 1990—2019 | -1.74(-2.57~-0.90) | <0.001 | |
| 印度 | APC | 1990—1997 | 0.01(-0.04~0.06) | 0.700 | 1990—2007 | -1.08(-1.38~-0.78) | <0.001 | 1990—2001 | -0.63(-1.01~-0.25) | 0.002 |
| 1997—2009 | -0.26(-0.29~-0.24) | <0.001 | 2007—2010 | -4.50(-12.06~3.71) | 0.260 | 2001—2004 | -2.81(-7.63~2.26) | 0.258 | ||
| 2009—2019 | -0.54(-0.58~-0.50) | <0.001 | 2010—2019 | -0.89(-1.74~-0.02) | 0.045 | 2004—2019 | -1.39(-1.62~-1.16) | <0.001 | ||
| AAPC | 1990—2019 | -0.29(-0.31~-0.27) | <0.001 | 1990—2019 | -1.38(-2.23~-0.53) | 0.002 | 1990—2019 | -1.25(-1.77~-0.73) | <0.001 | |
| 中国 | APC | 1990—1996 | 0.22(-0.17~0.61) | 0.261 | 1990—2001 | -2.96(-3.36~-2.56) | <0.001 | 1990—2002 | -3.28(-3.61~-2.94) | <0.001 |
| 1996—2002 | -0.78(-1.33~-0.23) | 0.008 | 2001—2016 | -5.44(-5.65~-5.23) | <0.001 | 2002—2015 | -5.41(-5.62~-5.19) | <0.001 | ||
| 2002—2019 | -1.75(-1.86~-1.64) | <0.001 | 2016—2019 | -2.63(-5.88~0.72) | 0.117 | 2015—2019 | -2.77(-4.51~-0.99) | 0.004 | ||
| AAPC | 1990—2019 | -1.14(-1.29~-1.00) | <0.001 | 1990—2019 | -4.22(-4.58~-3.85) | <0.001 | 1990—2019 | -4.17(-4.44~-3.89) | <0.001 | |
| 南非 | APC | 1990—1994 | 0.37(-0.12~0.87) | 0.134 | 1990—1994 | 2.38(-0.51~5.35) | 0.103 | 1990—1994 | 1.75(-0.03~3.55) | 0.053 |
| 1994—2014 | -0.52(-0.57~-0.48) | <0.001 | 1994—1997 | 9.89(2.75~17.52) | 0.008 | 1994—1998 | 5.04(2.85~7.28) | <0.001 | ||
| 2014—2019 | -1.19(-1.54~-0.85) | <0.001 | 1997—2019 | -2.37(-2.48~-2.25) | <0.001 | 1998—2019 | -2.07(-2.15~-1.98) | <0.001 | ||
| AAPC | 1990—2019 | -0.52(-0.61~-0.43) | <0.001 | 1990—2019 | -0.52(-1.27~0.24) | 0.183 | 1990—2019 | -0.59(-0.95~-0.23) | 0.001 | |
Table 2 Joinpoint analysis of trends in COPD disease burden in the BRICS countries from 1990 to 2019
| 国家 | 指标量化指标 | 标化患病率 | 标化死亡率 | 标化DALY率 | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 时期(年) | 变化值(95%CI)(%) | P值 | 时期(年) | 变化值(95%CI)(%) | P值 | 时期(年) | 变化值(95%CI)(%) | P值 | ||
| 巴西 | APC | 1990—1995 | 0.26(-0.05~0.58) | 0.097 | 1990—1998 | -0.02(-0.36~0.31) | 0.881 | 1990—1998 | 0.03(-0.24~0.31) | 0.806 |
| 1995—2003 | -0.54(-0.72~-0.36) | <0.001 | 1998—2009 | -3.31(-3.56~-3.06) | <0.001 | 1998—2009 | -3.08(-3.28~-2.88) | <0.001 | ||
| 2003—2019 | 0.99(-1.04~-0.93) | <0.001 | 2009—2019 | -1.33(-1.66~-0.99) | <0.001 | 2009—2019 | -1.20(-1.45~-0.95) | <0.001 | ||
| AAPC | 1990—2019 | -0.65(-0.72~-0.57) | <0.001 | 1990—2019 | -1.73(-1.89~-1.56) | <0.001 | 1990—2019 | -1.58(-1.71~-1.45) | <0.001 | |
| 俄罗斯 | APC | 1990—2006 | -0.54(-0.59~-0.49) | <0.001 | 1990—1994 | 4.71(-0.94~10.69) | 0.099 | 1990—1994 | 4.96(-0.05~10.21) | 0.052 |
| 2006—2009 | -1.37(-2.60~-0.12) | 0.033 | 1994—2011 | -3.84(-4.32~-3.36) | <0.001 | 1994—2012 | -3.36(-3.76~-2.95) | <0.001 | ||
| 2009—2019 | -0.79(-0.89~-0.68) | <0.001 | 2011—2019 | -1.15(-3.08~0.82) | 0.236 | 2012—2019 | -1.23(-3.38~0.97) | 0.258 | ||
| AAPC | 1990—2019 | -0.71(-0.84~-0.58) | <0.001 | 1990—2019 | -1.96(-2.87~-1.05) | <0.001 | 1990—2019 | -1.74(-2.57~-0.90) | <0.001 | |
| 印度 | APC | 1990—1997 | 0.01(-0.04~0.06) | 0.700 | 1990—2007 | -1.08(-1.38~-0.78) | <0.001 | 1990—2001 | -0.63(-1.01~-0.25) | 0.002 |
| 1997—2009 | -0.26(-0.29~-0.24) | <0.001 | 2007—2010 | -4.50(-12.06~3.71) | 0.260 | 2001—2004 | -2.81(-7.63~2.26) | 0.258 | ||
| 2009—2019 | -0.54(-0.58~-0.50) | <0.001 | 2010—2019 | -0.89(-1.74~-0.02) | 0.045 | 2004—2019 | -1.39(-1.62~-1.16) | <0.001 | ||
| AAPC | 1990—2019 | -0.29(-0.31~-0.27) | <0.001 | 1990—2019 | -1.38(-2.23~-0.53) | 0.002 | 1990—2019 | -1.25(-1.77~-0.73) | <0.001 | |
| 中国 | APC | 1990—1996 | 0.22(-0.17~0.61) | 0.261 | 1990—2001 | -2.96(-3.36~-2.56) | <0.001 | 1990—2002 | -3.28(-3.61~-2.94) | <0.001 |
| 1996—2002 | -0.78(-1.33~-0.23) | 0.008 | 2001—2016 | -5.44(-5.65~-5.23) | <0.001 | 2002—2015 | -5.41(-5.62~-5.19) | <0.001 | ||
| 2002—2019 | -1.75(-1.86~-1.64) | <0.001 | 2016—2019 | -2.63(-5.88~0.72) | 0.117 | 2015—2019 | -2.77(-4.51~-0.99) | 0.004 | ||
| AAPC | 1990—2019 | -1.14(-1.29~-1.00) | <0.001 | 1990—2019 | -4.22(-4.58~-3.85) | <0.001 | 1990—2019 | -4.17(-4.44~-3.89) | <0.001 | |
| 南非 | APC | 1990—1994 | 0.37(-0.12~0.87) | 0.134 | 1990—1994 | 2.38(-0.51~5.35) | 0.103 | 1990—1994 | 1.75(-0.03~3.55) | 0.053 |
| 1994—2014 | -0.52(-0.57~-0.48) | <0.001 | 1994—1997 | 9.89(2.75~17.52) | 0.008 | 1994—1998 | 5.04(2.85~7.28) | <0.001 | ||
| 2014—2019 | -1.19(-1.54~-0.85) | <0.001 | 1997—2019 | -2.37(-2.48~-2.25) | <0.001 | 1998—2019 | -2.07(-2.15~-1.98) | <0.001 | ||
| AAPC | 1990—2019 | -0.52(-0.61~-0.43) | <0.001 | 1990—2019 | -0.52(-1.27~0.24) | 0.183 | 1990—2019 | -0.59(-0.95~-0.23) | 0.001 | |
| 因素 | 巴西PAF(%) | 俄罗斯PAF(%) | 印度PAF(%) | 中国PAF(%) | 南非PAF(%) | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1990年 | 2019年 | 年均增长率 | 1990年 | 2019年 | 年均增长率 | 1990年 | 2019年 | 年均增长率 | 1990年 | 2019年 | 年均增长率 | 1990年 | 2019年 | 年均增长率 | |
| 空气污染 | 26.56 | 13.73 | -2.18 | 19.10 | 9.86 | -2.18 | 70.60 | 57.07 | -0.71 | 58.74 | 37.50 | -1.48 | 31.10 | 22.83 | -1.02 |
| 烟草使用 | 66.13 | 52.46 | -0.77 | 56.63 | 59.60 | 0.17 | 48.78 | 44.24 | -0.33 | 54.48 | 57.45 | 0.18 | 56.41 | 45.54 | -0.71 |
| 职业危险因素 | 13.48 | 12.32 | -0.30 | 12.12 | 11.19 | -0.27 | 16.91 | 16.07 | -0.17 | 20.12 | 19.96 | -0.03 | 11.08 | 10.50 | -0.18 |
| 非最佳温度 | 3.62 | 2.89 | -0.75 | 16.82 | 14.53 | -0.49 | 2.95 | 4.31 | 1.27 | 15.71 | 13.38 | -0.53 | 9.39 | 8.11 | -0.49 |
Table 3 Trends in PAF for chronic obstructive pulmonary disease risk factors from 1990 to 2019
| 因素 | 巴西PAF(%) | 俄罗斯PAF(%) | 印度PAF(%) | 中国PAF(%) | 南非PAF(%) | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1990年 | 2019年 | 年均增长率 | 1990年 | 2019年 | 年均增长率 | 1990年 | 2019年 | 年均增长率 | 1990年 | 2019年 | 年均增长率 | 1990年 | 2019年 | 年均增长率 | |
| 空气污染 | 26.56 | 13.73 | -2.18 | 19.10 | 9.86 | -2.18 | 70.60 | 57.07 | -0.71 | 58.74 | 37.50 | -1.48 | 31.10 | 22.83 | -1.02 |
| 烟草使用 | 66.13 | 52.46 | -0.77 | 56.63 | 59.60 | 0.17 | 48.78 | 44.24 | -0.33 | 54.48 | 57.45 | 0.18 | 56.41 | 45.54 | -0.71 |
| 职业危险因素 | 13.48 | 12.32 | -0.30 | 12.12 | 11.19 | -0.27 | 16.91 | 16.07 | -0.17 | 20.12 | 19.96 | -0.03 | 11.08 | 10.50 | -0.18 |
| 非最佳温度 | 3.62 | 2.89 | -0.75 | 16.82 | 14.53 | -0.49 | 2.95 | 4.31 | 1.27 | 15.71 | 13.38 | -0.53 | 9.39 | 8.11 | -0.49 |
| [1] |
|
| [2] |
GBD Chronic Respiratory Disease Collaborators. Prevalence and attributable health burden of chronic respiratory diseases,1990-2017:a systematic analysis for the Global Burden of Disease Study 2017[J]. Lancet Respir Med,2020,8(6):585-596. DOI:10.1016/S2213-2600(20)30105-3.
|
| [3] |
GBD 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[J]. Lancet,2018,392(10159):1736-1788. DOI:10.1016/S0140-6736(18)32203-7.
|
| [4] |
屈彦,王天一,杨津,等. GBD数据库的数据提取方法与流程[J]. 中国循证心血管医学杂志,2019,11(9):1043-1046. DOI:10.3969/j.issn.1674-4055.2019.09.04.
|
| [5] |
|
| [6] |
秦国双,温昊于,宇传华. 中国COPD的患病发病及YLD现状及趋势[J]. 公共卫生与预防医学,2019,30(2):4-8. DOI:10.3969/j.issn.1006-2483.2019.02.002.
|
| [7] |
殷鹏,蔡玥,刘江美,等. 1990与2013年中国归因于室内空气污染的疾病负担分析[J]. 中华预防医学杂志,2017,51(1):53-57.
|
| [8] |
龙政,刘威,王黎君,等. "一带一路"沿线主要国家2009年与2019年居民期望寿命及死亡状况比较[J]. 中国公共卫生,2022,38(8):1048-1053. DOI:10.11847/zgggws1136718.
|
| [9] |
陶凤然,樊娜,蒋云雯,等. 1997—2017年中国人群慢性阻塞性肺病疾病负担趋势分析[J]. 中国慢性病预防与控制,2020,28(1):3-9. DOI:10.16386/j.cjpccd.issn.1004-6194.2020.01.002.
|
| [10] |
|
| [11] |
|
| [12] |
India State-level Disease Burden Initiative Crd Collaborators. The burden of chronic respiratory diseases and their heterogeneity across the states of India:the Global Burden of Disease Study 1990-2016[J]. Lancet Glob Health,2018,6(12):e1363-1374. DOI:10.1016/S2214-109X(18)30409-1.
|
| [13] |
中华医学会呼吸病学分会慢性阻塞性肺疾病学组,中国医师协会呼吸医师分会慢性阻塞性肺疾病工作委员会. 慢性阻塞性肺疾病诊治指南(2021年修订版)[J]. 中华结核和呼吸杂志,2021,44(3):36. DOI:10.3760/cma.j.cn112147-20210109-00031.
|
| [14] |
刘贤兵,李芳,徐宁,等. 戒烟干预对早期稳定期慢性阻塞性肺疾病患者气道局部免疫及生活质量的影响研究[J]. 中国全科医学,2021,24(23):2927-2939. DOI:10.12114/j.issn.1007-9572.2021.00.576.
|
| [15] |
|
| [16] |
董彭滔. 积极应对人口老龄化——"金砖四国"举措及借鉴[J]. 现代管理科学,2019(3):45-47.
|
| [17] |
邓子如,王伟,郭敏璐,等. 金砖国家卫生外交政策及其参与全球卫生治理的经验[J]. 中国卫生政策研究,2020,13(8):50-57. DOI:10.3969/j.issn.1674-2982.2020.08.008.
|
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