China Safety Science Journal ›› 2024, Vol. 34 ›› Issue (2): 231-238.doi: 10.16265/j.cnki.issn1003-3033.2024.02.1184
• Occupational health • Previous Articles Next Articles
YU Miao1(), ZHANG Shengkui2, WANG Lihua1, YUAN Juxiang1,**(
)
Received:
2023-08-12
Revised:
2023-11-11
Online:
2024-02-28
Published:
2024-08-28
Contact:
YUAN Juxiang
CLC Number:
YU Miao, ZHANG Shengkui, WANG Lihua, YUAN Juxiang. Effect of liver enzymes on association between metabolically healthy obesity and hyperuricemia in steelworkers[J]. China Safety Science Journal, 2024, 34(2): 231-238.
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URL: http://www.cssjj.com.cn/EN/10.16265/j.cnki.issn1003-3033.2024.02.1184
Tab.1
Characteristic distribution of HUA disease groups of steelworkers
变量 | 总计 | 非HUA | HUA | P | |
---|---|---|---|---|---|
n=6 868 | n=4 595 | n=2 273 | |||
年龄/岁,n/% | 22~29 | 334 (4.9) | 187 (4.1) | 147 (6.5) | < 0.001 |
30~39 | 1 582 (23.0) | 910 (19.8) | 672 (29.6) | ||
40~49 | 2 757 (40.1) | 1 884 (41.0) | 873 (38.4) | ||
50~60 | 2 195 (32.0) | 1 614 (35.1) | 581 (25.6) | ||
教育程度,n/% | 高中及以下 | 5 305 (77.2) | 3 614 (79.2) | 1 664 (73.2) | < 0.001 |
大专及以上 | 1 563 (22.8) | 954 (20.8) | 609 (26.8) | ||
吸烟,n/% | 从不 | 2 842 (41.4) | 1 975 (43.0) | 867 (38.1) | < 0.001 |
曾经 | 460 (6.7) | 305 (6.6) | 155 (6.8) | ||
现在 | 3 566 (51.9) | 2 315 (50.4) | 1 251 (55.1) | ||
饮酒,n/% | 从不 | 3 954 (57.5) | 2 709 (59.0) | 1 245 (54.8) | 0.002 |
曾经 | 245 (3.6) | 167 (3.6) | 78 (3.4) | ||
现在 | 2 669 (38.9) | 1 719 (37.4) | 950 (41.8) | ||
体力活动,n/% | 低 | 1 247 (18.2) | 785 (17.1) | 462 (20.3) | < 0.001 |
中 | 3 447 (50.2) | 2 371 (51.6) | 1 076 (47.3) | ||
高 | 2 174 (31.6) | 1 439 (31.3) | 735 (32.3) | ||
GO,n/% | 否 | 3 138 (45.7) | 2 395 (52.1) | 743 (32.7) | < 0.001 |
是 | 3 730 (54.3) | 2 200 (47.9) | 1 530 (67.3) | ||
AO,n/% | 否 | 2 302 (33.5) | 1 746 (38.0) | 556 (24.5) | < 0.001 |
是 | 4 566 (66.5) | 2 849 (62.0) | 1 717 (75.5) | ||
倒班作业,n/% | 否 | 1 316 (19.2) | 922 (20.1) | 394 (17.3) | 0.007 |
是 | 5 552 (80.8) | 3 673 (79.9) | 1 879 (82.7) | ||
粉尘作业,n/% | 否 | 2 595 (37.8) | 1 783 (38.8) | 812 (35.7) | 0.013 |
是 | 4 273 (62.2) | 2 812 (61.2) | 1 461 (64.3) | ||
噪声作业,n/% | 否 | 3 367 (49.0) | 2 273 (49.5) | 1 094 (48.1) | 0.297 |
是 | 3 501 (51.0) | 2 322 (50.5) | 1 179 (51.9) | ||
高温作业,n/% | 否 | 3 481 (50.7) | 2 412 (52.5) | 1 069 (47.0) | < 0.001 |
是 | 3 387 (49.3) | 2 183 (47.5) | 1 204 (53.0) | ||
CO作业,n/% | 否 | 3 952 (57.5) | 2 660 (57.9) | 1 292 (56.8) | 0.408 |
是 | 2 916 (42.5) | 1 935 (42.1) | 981 (43.2) | ||
年龄/岁, ( ±S) | 44.6±8.1 | 45.5±7.8 | 42.9±8.3 | < 0.001 | |
DASH评分,( ±S) | 25.4±5.8 | 25.5±5.8 | 25.2±5.6 | 0.039 | |
SBP/mmHg,( ±S) | 129.0±15.9 | 128.0±16.0 | 130.8±15.6 | < 0.001 | |
DBP/mmHg,( ±S) | 82.5±10.4 | 82.0±10.2 | 83.7±10.5 | < 0.001 | |
TC/(mmol·L-1),( ±S) | 5.1±1.0 | 5.1±0.9 | 5.2±1.0 | < 0.001 | |
TG/(mmol·L-1),M (IQR) | 1.3 (0.9-2.0) | 1.2 (0.8-1.7) | 1.6 (1.1-2.4) | < 0.001 | |
HDL-C/(mmol·L-1),( ±S) | 1.3±0.3 | 1.3±0.3 | 1.2±0.3 | < 0.001 | |
LDL-C/(mmol·L-1),( ±S) | 3.2±0.9 | 3.2±0.8 | 3.3±0.9 | < 0.001 | |
FBG/(mmol·L-1),( ±S) | 6.1±1.3 | 6.1±1.5 | 6.0±1.0 | < 0.001 | |
ALT/(U·L-1),M (IQR) | 23 (17-31) | 21 (16-28) | 26 (20-37) | < 0.001 | |
AST/(U·L-1),M (IQR) | 20 (17-23) | 19 (17-22) | 21 (18-25) | < 0.001 | |
GGT/(U·L-1),M (IQR) | 26 (19-41) | 24 (17-36) | 32 (23-51) | < 0.001 |
Tab.2
Effect of obesity and metabolism indicators on HUA by logistic analysis
变量 | 模型1 | 模型2 | 模型3 | 模型4 | |
---|---|---|---|---|---|
GO | 否 | 1.00 | 1.00 | 1.00 | 1.00 |
是 | 2.24(2.02~2.49) | 2.14 (1.92~2.38) | 2.34 (1.90~2.89) | 2.15 (1.74 ~2.66) | |
AO | 否 | 1.00 | 1.00 | 1.00 | 1.00 |
是 | 1.89 (1.69 - 2.12) | 1.88 (1.68~2.11) | 2.35 (1.86~2.97) | 2.15 (1.69~2.72) | |
代谢异常组分 | BP | 1.47(1.33~1.63) | 1.58 (1.42~1.76) | 1.57 (1.27~1.94) | 1.49 (1.20~1.84) |
FBG | 1.05 (0.95~1.17) | 1.12 (1.00~1.25) | 1.18 (0.94~1.48) | 1.14 (0.91~1.43) | |
TG | 2.59 (2.33~2.88) | 2.51 (2.26~2.80) | 2.62 (2.13 ~3.22) | 2.36 (1.91 ~2.92) | |
HDL-C | 1.66 (1.47~1.89) | 1.69 (1.48~1.92) | 1.36 (1.05~1.75) | 1.31 (1.01~1.70) | |
代谢异常数量 | 0 | 1.00 | 1.00 | 1.00 | 1.00 |
1 | 1.13 (0.94~1.37) | 0.93 (0.71~1.20) | 1.08 (0.73~1.59) | 1.03 (0.70~1.52) | |
2 | 1.62 (1.35~1.95) | 1.25 (0.97~1.60) | 1.64 (1.12~2.40) | 1.50 (1.03~2.21) | |
3 | 2.88 (2.37~3.50) | 1.41 (1.08~1.85) | 2.96 (1.98~4.43) | 2.53 (1.68~3.81) | |
4 | 3.14 (2.43~4.07) | 1.68 (1.19~2.37) | 3.11 (1.87~5.19) | 2.70 (1.61~4.52) |
Tab.3
Effects of different obesity phenotypes on HUA
肥胖表型 | 患病人数/% | OR (95% CI)值 | ||||
---|---|---|---|---|---|---|
模型1 | 模型2 | 模型3 | 模型4 | |||
BMI 分类 | MHNGO | 105 (18.1) | 1.00 | 1.00 | 1.00 | 1.00 |
MUNGO | 638 (24.9) | 1.50(1.20~1.90) | 1.67 (1.32~2.11) | 1.40 (0.87~2.27) | 1.28 (0.79~2.08) | |
MHGO | 88 (35.3) | 2.47 (1.77~3.46) | 2.36 (1.68~3.32) | 2.41 (1.23~4.73) | 2.13 (1.08~4.21) | |
MUGO | 1442 (41.4) | 3.20 (2.56~3.99) | 3.37(2.69~4.24) | 3.18 (1.99 ~5.06) | 2.70 (1.69~4.32) | |
WC 分类 | MHNAO | 91/456 (20.0) | 1.00 | 1.00 | 1.00 | 1.00 |
MUNAO | 465/1 846 (26.9) | 1.35 (1.05~1.74) | 1.45 (1.12~1.87) | 1.50 (0.85~2.63) | 1.38 (0.79~2.42) | |
MHAO | 102/373 (27.4) | 1.51 (1.09~3.19) | 1.44(1.03~2.00) | 2.46 (1.25~4.85) | 2.25 (1.14~4.45) | |
MUAO | 1 615/4 193 (38.5) | 2.51 (1.98~3.19) | 2.70(2.11~3.45) | 3.38 (1.98~5.78) | 2.87 (1.68~4.93) |
Tab.4
Effect of liver enzyme levels on relationship between obesity phenotypes and HUA
肥胖表型 | 分组1a | P | 分组2b | P | |||
---|---|---|---|---|---|---|---|
肝酶正常 | 肝酶异常 | 肝酶正常 | 肝酶异常 | ||||
BMI 分类 | MHNGO | 1.00 | 1.00 | <0.001 | 1.00 | 1.00 | <0.001 |
MUNGO | 1.04 (0.49~2.20) | 1.30 (0.69~2.46) | 0.96 (0.58~1.59) | 1.06 (0.65~1.74) | |||
MHGO | 1.80 (0.79~4.14) | 3.52 (1.05~11.81) | 1.91 (0.87~4.19) | 2.19 (1.51~3.19) | |||
MUGO | 2.41 (1.15~5.04) | 2.50 (1.35~4.63) | 2.10 (1.29~3.43) | 2.92 (2.28~3.74) | |||
WC 分类 | MHNAO | 1.00 | 1.00 | <0.001 | 1.00 | 1.00 | <0.001 |
MUNAO | 0.65 (0.28~1.51) | 1.78 (0.81~3.92) | 1.03 (0.57~1.85) | 1.09 (0.54~2.17) | |||
MHAO | 1.57 (0.51~4.85) | 2.50 (1.02~6.17) | 2.02 (0.96~4.27) | 1.33 (0.56~3.17) | |||
MUAO | 2.01 (0.95~4.27) | 3.14 (1.47~6.72) | 2.19 (1.26~3.82) | 1.93 (1.13~3.37) |
[1] |
doi: 10.1016/S0140-6736(16)00346-9 |
[2] |
|
[3] |
|
[4] |
|
[5] |
张生奎, 王镇德, 杨荔, 等. 倒班作业与高尿酸血症的剂量反应关系研究[J]. 中华疾病控制杂志, 2018, 22(11):1123-1127.
|
|
|
[6] |
陈红, 侯聪美. 职业安全与健康管理现状、挑战与合作管理模式应用前景[J]. 中国安全科学学报, 2018, 28(5):159-165.
doi: 10.16265/j.cnki.issn1003-3033.2018.05.027 |
doi: 10.16265/j.cnki.issn1003-3033.2018.05.027 |
|
[7] |
岳鹏超, 赵威. 员工健康对安全生产影响及意外事件防范[J]. 中国安全科学学报, 2021, 31(增1):192-196.
|
doi: 10.16265/j.cnki.issn 1003-3033.2021.S1.034 |
|
[8] |
|
[9] |
|
[10] |
|
[11] |
|
[12] |
|
[13] |
|
[14] |
doi: 10.1161/CIRCULATIONAHA.109.192644 |
[15] |
doi: 10.1111/obr.2014.15.issue-10 |
[16] |
doi: 10.1056/NEJMra0800885 pmid: 18946066 |
[17] |
doi: 10.1038/ajg.2016.517 |
[18] |
|
[19] |
doi: 10.1016/j.cgh.2023.04.015 |
[20] |
doi: 10.2147/DMSO.S301363 |
[21] |
doi: 10.1080/07435800.2022.2108049 |
[22] |
|
[23] |
doi: 10.1097/BOR.0b013e32835d951e pmid: 23370374 |
[24] |
|
[25] |
|
[26] |
doi: 10.1172/JCI129186 |
[27] |
doi: 10.1007/s40519-018-0481-6 |
[28] |
doi: 10.5551/jat.11924 pmid: 22653114 |
[29] |
doi: 10.1097/MCG.0b013e3181962de8 |
[30] |
doi: 10.2337/dc12-1971 pmid: 23491523 |
[31] |
|
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