| Literature DB >> 36190153 |
Yingying Jiang1,2, Tingling Xu1, Wenlan Dong1, Cordia Chu2, Maigeng Zhou1.
Abstract
BACKGROUND: To analysis the death and disease burden caused by high sugar-sweetened beverages intake in China from 1990 to 2019.Entities:
Mesh:
Substances:
Year: 2022 PMID: 36190153 PMCID: PMC9527974 DOI: 10.1093/eurpub/ckac067
Source DB: PubMed Journal: Eur J Public Health ISSN: 1101-1262 Impact factor: 4.424
Comparison of deaths attributed to sugar-sweetened beverages among Chinese population (95% UI)
| 1990 | 2019 | Changes (1990 vs. 2019) | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Number | Rate (/100 000) | PAF (%) | Number | Rate (/100 000) | PAF (%) | Number | Rate | PAF | |
| Male | 13 381.09 | 4.86 | 0.37 | 26 826.50 | 4.16 | 0.49 | 1.00 | −0.14 | 0.35 |
| (10 156.05–7069.12) | (3.65–6.23) | (0.28–0.46) | (18 351.05–36 127.64) | (2.81–5.64) | (0.35–0.67) | (0.35–1.95) | (−0.49 to 0.30) | (−0.07 to 0.90) | |
| Female | 10 593.66 | 3.19 | 0.33 | 19 807.08 | 2.19 | 0.45 | 0.87 | −0.31 | 0.39 |
| (7570.56–13 847.45) | (2.27–4.25) | (0.24–0.42) | (13 034.84–28 191.27) | (1.41–3.16) | (0.30–0.63) | (0.16–1.85) | (−0.64 to 0.21) | (−0.08 to 0.99) | |
| 15–49 year-old | 2187.67 | 0.33 | 0.18 | 2220.45 | 0.31 | 0.26 | 0.01 | −0.06 | 0.43 |
| (1539.67–2892.98) | (0.23–0.43) | (0.13–0.23) | (1108.13–3343.86) | (0.15–0.46) | (0.14–0.36) | (−0.47 to 0.61) | (−0.53 to 0.79) | (−0.22 to 1.12) | |
| 50–69 year-old | 8879.10 | 5.76 | 0.37 | 10 414.98 | 2.82 | 0.35 | 0.17 | −0.51 | −0.05 |
| (6565.083–11 406.82) | (4.26–7.40) | (0.28–0.46) | (6870.56–14 136.66) | (1.86–3.83) | (0.24–0.44) | (−0.26 to 0.74) | (−0.75 to −0.09) | (−0.37 to 0.32) | |
| ≥70 year-old | 12 907.98 | 33.74 | 0.40 | 33 998.14 | 31.49 | 0.51 | 1.63 | −0.07 | 0.28 |
| (9666.46–16 246.89) | (25.27–2.47) | (0.30–0.50) | (24 183.18–45 346.62) | (22.40–42.00) | (0.37–0.67) | (0.88–2.69) | (−0.34 to 0.31) | (−0.09 to 0.77) | |
| Total | 23 974.75 | 3.86 | 0.34 | 46 633.57 | 2.94 | 0.46 | 0.95 | −0.24 | 0.35 |
| (19 260.28–29 126.38) | (3.02–4.75) | (0.27–0.41) | (34 038.47–61 191.67) | (2.10–3.89) | (0.34–0.60) | (0.43–1.56) | (−0.50 to 0.07) | (0.00–0.73) | |
The death rate of each age group is crude death rate.
Chronic disease deaths and disease burden attributable to sugar-sweetened beverages in the Chinese population (95% UI)
| IHD | DM | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1990 | 2019 | Change (1990 vs. 2019) | 1990 | 2019 | Changes (1990 vs. 2019) | |||||||
| Number | Rate (/100 000) | Number | Rate (/100 000) | Number | Rate | Number | Rate (/100 000) | Number | Rate (/100 000) | Number | Rate | |
| Death | 21 639.80 | 3.54 | 42 098.91 | 2.69 | 0.95 | −0.24 | 2334.95 | 0.32 | 4534.66 | 0.25 | 0.94 | −0.21 |
| (17 308.84–26 273.08) | (2.76–4.38) | (30 310.5–56 071.22) | (1.92–3.59) | (0.41–1.58) | (−0.46 to 0.01) | (1850.66–2890.48) | (0.25–0.39) | (2949.70–5970.44) | (0.17–0.33) | (0.31–1.63) | (−0.46 to 0.06) | |
| DALYs | 510 000.80 | 64.76 | 75 7416.50 | 41.78 | 0.49 | −0.35 | 137 769.90 | 15.59 | 258 774.10 | 12.89 | 0.88 | −0.17 |
| (406 904.03–25 564.93) | (52.2–78.76) | (52 7185.52–00 4008.57) | (29.74–55.36) | (0.06–0.98) | (−0.54 to −0.15) | (102 896.74–81 392.85) | (11.74–20.42) | (15 3961.95–367 693.94) | (7.72–18.33) | (0.23–1.48) | (−0.45 to 0.08) | |
| YLLs | 485 009.30 | 61.55 | 71 8441.00 | 39.74 | 0.48 | −0.35 | 55 020.21 | 6.48 | 88 824.77 | 4.48 | 0.61 | −0.31 |
| (385 330.95–593 974.90) | (49.52–74.62) | (49 9226.65–95 7741.04) | (28.05–52.73) | (0.06–0.99) | (−0.54 to −0.14) | (44 097.93–68 039.24) | (5.18–8.00) | (56 052.79–117 955.76) | (2.86–5.93) | (0.07–1.22) | (−0.53 to −0.06) | |
| YLDs | 24 991.47 | 3.21 | 38 975.49 | 2.03 | 0.56 | −0.37 | 82 749.68 | 9.11 | 169 949.30 | 8.41 | 1.05 | −0.08 |
| (15 933.62–36 765.54) | (2.06–4.69) | (22 416.75–60 306.25) | (1.17–3.12) | (0.11–0.98) | (−0.55 to −0.20) | (54 034.81–12 0221.16) | (6.00–13.18) | (93 454.58–265 523.98) | (4.63–13.06) | (0.33–1.68) | (−0.40 to 0.21) | |
Disease burden of the Chinese population attributable to excessive intake of sugary beverages (95% UI)
| 1990 | 2019 | Changes (1990 vs. 2019) | ||
|---|---|---|---|---|
| DALYs | Number | 647 770.70 (523 495.27–87 242.30) | 1 016 191.00 (734 173.20–1 302 281.98) | 0.57 (0.15 to 1.03) |
| Rate (/100 000) | 80.35 (65.52–97.08) | 54.67 (40.05–70.13) | −0.32 (−0.50 to 0.13) | |
| PAF (%) | 0.20 (0.16–0.23) | 0.25 (0.18–0.31) | 0.26 (−0.03 to 0.58) | |
| YLLs | Number | 540 029.50 (432 763.37–58 687.29) | 807 265.80 (571 674.81–1 058 512.27) | 0.49 (0.08 to 0.98) |
| Rate(/100 000) | 68.03 (55.12–82.26) | 44.23 (31.87–57.72) | −0.35 (−0.53 to 0.14) | |
| PAF (%) | 0.22 (0.18–0.26%) | 0.33 (0.25–0.41) | 0.54 (0.16 to 0.97) | |
| YLDs | Number | 107 741.16 (70 817.96–151 454.24) | 208 924.84 (123 053.00–312 130.23) | 0.94 (0.36 to 1.47) |
| Rate(/100 000) | 12.33 (8.20–17.32) | 10.44 (6.10–15.55) | −0.15 (−0.41 to 0.09) | |
| PAF (%) | 0.13 (0.10–0.16) | 0.12 (0.08–0.15) | −0.10 (−0.37 to 0.16) |
The burden of deaths attributed to sugar-sweetened beverages among populations in provinces in China
| Location | 1990 | 2019 | Changes (1990 vs. 2019) | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Number | Rate(/100 000) | PAF (%) | Number | Rate(/100 000) | PAF (%) | Number | Rate | PAF | |
| Anhui | 963.63 | 3.46 | 0.30 | 1941.98 | 2.68 | 0.43 | 1.02 | −0.23 | 0.45 |
| Beijing | 336.00 | 4.95 | 0.55 | 686.02 | 2.40 | 0.59 | 1.04 | −0.52 | 0.07 |
| Chongqing | 248.46 | 2.88 | 0.23 | 848.05 | 2.43 | 0.34 | 2.41 | −0.16 | 0.47 |
| Fujian | 419.55 | 2.88 | 0.26 | 783.86 | 1.92 | 0.36 | 0.87 | −0.33 | 0.39 |
| Gansu | 329.90 | 3.39 | 0.28 | 846.17 | 3.41 | 0.46 | 1.56 | 0.01 | 0.64 |
| Guangdong | 1180.15 | 3.41 | 0.32 | 2611.27 | 2.38 | 0.51 | 1.21 | −0.30 | 0.56 |
| Guangxi | 742.51 | 3.30 | 0.30 | 1531.46 | 2.99 | 0.41 | 1.06 | −0.09 | 0.40 |
| Guizhou | 494.59 | 3.12 | 0.22 | 763.29 | 2.21 | 0.27 | 0.54 | −0.29 | 0.24 |
| Hainan | 124.47 | 3.63 | 0.34 | 268.28 | 2.98 | 0.44 | 1.16 | −0.18 | 0.27 |
| Hebei | 1439.27 | 3.98 | 0.38 | 3010.33 | 3.81 | 0.51 | 1.09 | −0.04 | 0.33 |
| Heilongjiang | 1090.37 | 8.12 | 0.64 | 2256.76 | 5.60 | 0.73 | 1.07 | −0.31 | 0.15 |
| Henan | 1819.43 | 3.80 | 0.37 | 3881.00 | 3.92 | 0.60 | 1.13 | 0.03 | 0.61 |
| HK SAR | 105.55 | 2.28 | 0.39 | 194.08 | 1.14 | 0.33 | 0.84 | −0.50 | −0.15 |
| Hubei | 1032.52 | 3.65 | 0.32 | 1619.29 | 2.54 | 0.39 | 0.57 | −0.30 | 0.21 |
| Hunan | 1148.72 | 3.50 | 0.30 | 2762.43 | 3.43 | 0.49 | 1.40 | −0.02 | 0.66 |
| Inner Mongolia | 532.46 | 5.88 | 0.48 | 1032.77 | 4.21 | 0.59 | 0.94 | −0.28 | 0.22 |
| Jiangsu | 1077.85 | 2.62 | 0.27 | 1742.53 | 1.45 | 0.30 | 0.62 | −0.45 | 0.10 |
| Jiangxi | 764.65 | 4.03 | 0.29 | 1121.67 | 2.52 | 0.39 | 0.47 | −0.37 | 0.34 |
| Jilin | 890.16 | 7.84 | 0.59 | 1488.24 | 4.83 | 0.71 | 0.67 | −0.38 | 0.20 |
| Liaoning | 1351.00 | 6.77 | 0.65 | 2605.45 | 4.48 | 0.68 | 0.93 | −0.34 | 0.03 |
| Macao SAR | 10.92 | 4.22 | 0.67 | 20.36 | 2.25 | 0.68 | 0.86 | −0.47 | 0.01 |
| Ningxia | 91.55 | 5.44 | 0.44 | 208.51 | 4.13 | 0.55 | 1.28 | −0.24 | 0.26 |
| Qinghai | 59.99 | 3.73 | 0.26 | 156.03 | 3.76 | 0.39 | 1.60 | 0.01 | 0.47 |
| Shaanxi | 735.14 | 4.55 | 0.36 | 1488.90 | 3.88 | 0.55 | 1.03 | −0.15 | 0.55 |
| Shandong | 1890.44 | 3.82 | 0.37 | 4377.09 | 3.53 | 0.60 | 1.32 | −0.08 | 0.64 |
| Shanghai | 351.99 | 3.33 | 0.39 | 694.06 | 1.73 | 0.43 | 0.97 | −0.48 | 0.09 |
| Shanxi | 711.67 | 4.73 | 0.41 | 1395.30 | 3.90 | 0.54 | 0.96 | −0.18 | 0.33 |
| Sichuan | 2117.19 | 3.65 | 0.30 | 2500.77 | 2.50 | 0.33 | 0.18 | −0.32 | 0.09 |
| Tianjin | 282.63 | 5.38 | 0.57 | 575.10 | 3.48 | 0.64 | 1.03 | −0.35 | 0.11 |
| Tibet | 46.87 | 4.08 | 0.21 | 52.53 | 2.63 | 0.25 | 0.12 | −0.36 | 0.18 |
| Xinjiang | 361.64 | 5.69 | 0.37 | 922.63 | 5.05 | 0.52 | 1.55 | −0.11 | 0.40 |
| Yunnan | 571.33 | 3.04 | 0.22 | 1273.08 | 2.97 | 0.35 | 1.23 | −0.02 | 0.61 |
| Zhejiang | 652.15 | 2.43 | 0.25 | 974.29 | 1.24 | 0.27 | 0.49 | −0.49 | 0.07 |
| Total | 23 974.75 | 3.86 | 0.34 | 46 633.57 | 2.94 | 0.46 | 0.95 | −0.24 | 0.35 |