Chinese General Practice ›› 2025, Vol. 28 ›› Issue (06): 681-687.DOI: 10.12114/j.issn.1007-9572.2024.0189
Special Issue: 内分泌代谢性疾病最新文章合辑
• Original Research • Previous Articles Next Articles
Received:
2024-04-10
Revised:
2024-07-25
Published:
2025-02-20
Online:
2024-11-25
Contact:
LIU Tao
通讯作者:
刘涛
作者简介:
作者贡献:
朱玲负责数据统计、文章构思和撰写;赵否曦负责数据收集;汪姜涛、杜瑀协助整理数据;吴延莉、张骥对数据统计分析进行指导;刘涛对论文质量进行指导。
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URL: https://www.chinagp.net/EN/10.12114/j.issn.1007-9572.2024.0189
变量 | 例数 | 新发T2DM | χ2值 | P值 |
---|---|---|---|---|
性别 | 0.484 | 0.486 | ||
男 | 3 183 | 342(10.74) | ||
女 | 3 560 | 364(10.22) | ||
年龄 | 40.585 | <0.001 | ||
<45岁 | 3 796 | 318(8.38) | ||
≥45岁 | 2 947 | 388(13.17) | ||
民族 | 12.971 | <0.001 | ||
少数民族 | 2 736 | 242(8.85) | ||
汉族 | 4 007 | 464(11.58) | ||
城乡 | 8.157 | 0.004 | ||
城市 | 2 460 | 223(9.07) | ||
农村 | 4 283 | 483(11.28) | ||
受教育水平 | 26.377 | <0.001 | ||
小学以下 | 2 390 | 297(12.43) | ||
小学 | 1 385 | 155(11.19) | ||
初中 | 2 037 | 176(8.64) | ||
高中/中专 | 607 | 60(9.88) | ||
大专及以上 | 324 | 18(5.56) | ||
吸烟 | 3.355 | 0.067 | ||
否 | 4 849 | 487(10.04) | ||
是 | 1 894 | 219(11.56) | ||
饮酒 | 1.828 | 0.176 | ||
否 | 4 630 | 469(10.13) | ||
是 | 2 113 | 237(11.22) | ||
油摄入>25 g/d | 9.509 | 0.002 | ||
否 | 1 980 | 172(8.69) | ||
是 | 4 763 | 534(11.21) | ||
食盐摄入>5 g/d | 11.456 | <0.001 | ||
否 | 1 199 | 93(7.76) | ||
是 | 5 544 | 613(11.06) |
Table 1 Incidence of new T2DM among populations with different baseline characteristics
变量 | 例数 | 新发T2DM | χ2值 | P值 |
---|---|---|---|---|
性别 | 0.484 | 0.486 | ||
男 | 3 183 | 342(10.74) | ||
女 | 3 560 | 364(10.22) | ||
年龄 | 40.585 | <0.001 | ||
<45岁 | 3 796 | 318(8.38) | ||
≥45岁 | 2 947 | 388(13.17) | ||
民族 | 12.971 | <0.001 | ||
少数民族 | 2 736 | 242(8.85) | ||
汉族 | 4 007 | 464(11.58) | ||
城乡 | 8.157 | 0.004 | ||
城市 | 2 460 | 223(9.07) | ||
农村 | 4 283 | 483(11.28) | ||
受教育水平 | 26.377 | <0.001 | ||
小学以下 | 2 390 | 297(12.43) | ||
小学 | 1 385 | 155(11.19) | ||
初中 | 2 037 | 176(8.64) | ||
高中/中专 | 607 | 60(9.88) | ||
大专及以上 | 324 | 18(5.56) | ||
吸烟 | 3.355 | 0.067 | ||
否 | 4 849 | 487(10.04) | ||
是 | 1 894 | 219(11.56) | ||
饮酒 | 1.828 | 0.176 | ||
否 | 4 630 | 469(10.13) | ||
是 | 2 113 | 237(11.22) | ||
油摄入>25 g/d | 9.509 | 0.002 | ||
否 | 1 980 | 172(8.69) | ||
是 | 4 763 | 534(11.21) | ||
食盐摄入>5 g/d | 11.456 | <0.001 | ||
否 | 1 199 | 93(7.76) | ||
是 | 5 544 | 613(11.06) |
表型 | 发病人数 | 发病密度(/1 000人年) | 模型1 | 模型2 | 模型3 | |||
---|---|---|---|---|---|---|---|---|
HR(95%CI) | P值 | HR(95%CI) | P值 | HR(95%CI) | P值 | |||
NWNT | 299 | 11.72 | 1 | 1 | 1 | |||
NWHT | 155 | 14.37 | 1.068(0.879~1.298) | 0.506 | 1.009(0.830~1.227) | 0.929 | 0.999(0.820~1.216) | 0.998 |
EWNT | 92 | 17.74 | 1.601(1.268~2.023) | <0.001 | 1.563(1.236~1.977) | <0.001 | 1.318(1.024~1.697) | 0.032 |
EWHT | 160 | 23.65 | 1.965(1.621~2.382) | <0.001 | 1.806(1.488~2.193) | <0.001 | 1.486(1.185~1.865) | 0.001 |
Table 2 Multivariate Cox proportional risk regression analysis of the correlation of different triglyceridemia-waist circumference phenotypes with new onset of T2DM
表型 | 发病人数 | 发病密度(/1 000人年) | 模型1 | 模型2 | 模型3 | |||
---|---|---|---|---|---|---|---|---|
HR(95%CI) | P值 | HR(95%CI) | P值 | HR(95%CI) | P值 | |||
NWNT | 299 | 11.72 | 1 | 1 | 1 | |||
NWHT | 155 | 14.37 | 1.068(0.879~1.298) | 0.506 | 1.009(0.830~1.227) | 0.929 | 0.999(0.820~1.216) | 0.998 |
EWNT | 92 | 17.74 | 1.601(1.268~2.023) | <0.001 | 1.563(1.236~1.977) | <0.001 | 1.318(1.024~1.697) | 0.032 |
EWHT | 160 | 23.65 | 1.965(1.621~2.382) | <0.001 | 1.806(1.488~2.193) | <0.001 | 1.486(1.185~1.865) | 0.001 |
亚组 | 发病人数 | 发病密度(/1 000人年) | 模型1 | 模型2 | 模型3 | |||
---|---|---|---|---|---|---|---|---|
HR(95%CI) | P值 | HR(95%CI) | P值 | HR(95%CI) | P值 | |||
性别 | ||||||||
男性 | ||||||||
NWNT | 157 | 12.60 | 1 | 1 | 1 | |||
NWHT | 77 | 14.01 | 1.012(0.770~1.331) | 0.929 | 1.003(0.763~1.319) | 0.980 | 0.966(0.733~1.273) | 0.808 |
EWNT | 32 | 17.27 | 1.442(0.986~2.110) | 0.059 | 1.432(0.979~2.095) | 0.064 | 1.350(0.903~2.020) | 0.144 |
EWHT | 76 | 25.63 | 2.004(1.523~2.636) | <0.001 | 2.029(1.542~2.670) | <0.001 | 1.792(1.297~2.476) | <0.001 |
女性 | ||||||||
NWNT | 142 | 10.88 | 1 | 1 | 1 | |||
NWHT | 78 | 14.75 | 1.139(0.863~1.504) | 0.359 | 1.006(0.759~1.332) | 0.968 | 1.025(0.773~1.361) | 0.862 |
EWNT | 60 | 18.00 | 1.757(1.299~2.376) | <0.001 | 1.621(1.198~2.194) | 0.002 | 1.223(0.871~1.716) | 0.245 |
EWHT | 84 | 22.10 | 1.966(1.501~2.577) | <0.001 | 1.599(1.213~2.108) | <0.001 | 1.209(0.867~1.687) | 0.262 |
城乡 | ||||||||
城市 | ||||||||
NWNT | 91 | 10.71 | 1 | 1 | 1 | |||
NWHT | 31 | 10.03 | 0.826(0.548~1.245) | 0.360 | 0.764(0.506~1.154) | 0.201 | 0.697(0.461~1.056) | 0.089 |
EWNT | 38 | 15.37 | 1.440(0.986~2.103) | 0.059 | 1.380(0.944~2.019) | 0.096 | 1.066(0.696~1.633) | 0.769 |
EWHT | 63 | 24.55 | 2.166(1.569~2.991) | <0.001 | 1.794(1.290~2.495) | 0.001 | 1.239(0.821~1.869) | 0.308 |
农村 | ||||||||
NWNT | 208 | 12.22 | 1 | 1 | 1 | |||
NWHT | 124 | 16.12 | 1.159(0.928~1.449) | 0.194 | 1.107(0.885~1.385) | 0.373 | 1.078(0.858~1.353) | 0.520 |
EWNT | 54 | 19.91 | 1.656(1.227~2.234) | 0.001 | 1.620(1.199~2.190) | 0.002 | 1.397(1.010~1.933) | 0.044 |
EWHT | 97 | 23.10 | 1.819(1.429~2.316) | <0.001 | 1.730(1.357~2.205) | <0.001 | 1.483(1.115~1.971) | 0.007 |
年龄 | ||||||||
<45岁 | ||||||||
NWNT | 149 | 9.46 | 1 | 1 | 1 | |||
NWHT | 62 | 10.77 | 0.968(0.719~1.303) | 0.831 | 0.957(0.711~1.289) | 0.774 | 0.905(0.670~1.222) | 0.516 |
EWNT | 41 | 14.97 | 1.646(1.165~2.327) | 0.005 | 1.671(1.181~2.362) | 0.004 | 1.395(0.958~2.033) | 0.083 |
EWHT | 66 | 20.27 | 2.120(1.586~2.834) | <0.001 | 2.092(1.565~2.797) | <0.001 | 1.540(1.083~2.190) | 0.016 |
≥45岁 | ||||||||
NWNT | 150 | 15.37 | 1 | 1 | 1 | |||
NWHT | 93 | 18.50 | 1.054(0.813~1.368) | 0.690 | 1.058(0.815~1.373) | 0.671 | 1.085(0.835~1.410) | 0.543 |
EWNT | 51 | 20.85 | 1.447(1.053~1.988) | 0.023 | 1.458(1.058~2.010) | 0.021 | 1.224(0.866~1.729) | 0.252 |
EWHT | 94 | 26.79 | 1.640(1.266~2.125) | <0.001 | 1.653(1.272~2.147) | <0.001 | 1.401(1.034~1.900) | 0.030 |
超重/肥胖 | ||||||||
否 | ||||||||
NWNT | 260 | 11.62 | 1 | 1 | 1 | |||
NWHT | 119 | 14.06 | 1.044(0.839~1.299) | 0.699 | 0.971(0.780~1.210) | 0.796 | 0.967(0.774~1.207) | 0.765 |
EWNT | 26 | 16.17 | 1.484(0.991~2.221) | 0.055 | 1.528(1.019~2.291) | 0.040 | 1.471(0.972~2.224) | 0.068 |
EWHT | 23 | 20.31 | 1.633(1.066~2.503) | 0.024 | 1.456(0.947~2.238) | 0.087 | 1.480(0.953~2.297) | 0.081 |
是 | ||||||||
NWNT | 39 | 12.78 | 1 | 1 | 1 | |||
NWHT | 36 | 15.80 | 1.110(0.705~1.747) | 0.652 | 1.089(0.692~1.714) | 0.713 | 1.144(0.726~1.805) | 0.562 |
EWNT | 66 | 18.57 | 1.514(1.019~2.249) | 0.040 | 1.474(0.990~2.194) | 0.056 | 1.360(0.910~2.032) | 0.133 |
EWHT | 137 | 24.33 | 1.854(1.299~2.648) | 0.001 | 1.765(1.233~2.525) | 0.002 | 1.614(1.123~2.321) | 0.010 |
Table 3 Multivariate Cox proportional hazards regression analysis for the subgroups
亚组 | 发病人数 | 发病密度(/1 000人年) | 模型1 | 模型2 | 模型3 | |||
---|---|---|---|---|---|---|---|---|
HR(95%CI) | P值 | HR(95%CI) | P值 | HR(95%CI) | P值 | |||
性别 | ||||||||
男性 | ||||||||
NWNT | 157 | 12.60 | 1 | 1 | 1 | |||
NWHT | 77 | 14.01 | 1.012(0.770~1.331) | 0.929 | 1.003(0.763~1.319) | 0.980 | 0.966(0.733~1.273) | 0.808 |
EWNT | 32 | 17.27 | 1.442(0.986~2.110) | 0.059 | 1.432(0.979~2.095) | 0.064 | 1.350(0.903~2.020) | 0.144 |
EWHT | 76 | 25.63 | 2.004(1.523~2.636) | <0.001 | 2.029(1.542~2.670) | <0.001 | 1.792(1.297~2.476) | <0.001 |
女性 | ||||||||
NWNT | 142 | 10.88 | 1 | 1 | 1 | |||
NWHT | 78 | 14.75 | 1.139(0.863~1.504) | 0.359 | 1.006(0.759~1.332) | 0.968 | 1.025(0.773~1.361) | 0.862 |
EWNT | 60 | 18.00 | 1.757(1.299~2.376) | <0.001 | 1.621(1.198~2.194) | 0.002 | 1.223(0.871~1.716) | 0.245 |
EWHT | 84 | 22.10 | 1.966(1.501~2.577) | <0.001 | 1.599(1.213~2.108) | <0.001 | 1.209(0.867~1.687) | 0.262 |
城乡 | ||||||||
城市 | ||||||||
NWNT | 91 | 10.71 | 1 | 1 | 1 | |||
NWHT | 31 | 10.03 | 0.826(0.548~1.245) | 0.360 | 0.764(0.506~1.154) | 0.201 | 0.697(0.461~1.056) | 0.089 |
EWNT | 38 | 15.37 | 1.440(0.986~2.103) | 0.059 | 1.380(0.944~2.019) | 0.096 | 1.066(0.696~1.633) | 0.769 |
EWHT | 63 | 24.55 | 2.166(1.569~2.991) | <0.001 | 1.794(1.290~2.495) | 0.001 | 1.239(0.821~1.869) | 0.308 |
农村 | ||||||||
NWNT | 208 | 12.22 | 1 | 1 | 1 | |||
NWHT | 124 | 16.12 | 1.159(0.928~1.449) | 0.194 | 1.107(0.885~1.385) | 0.373 | 1.078(0.858~1.353) | 0.520 |
EWNT | 54 | 19.91 | 1.656(1.227~2.234) | 0.001 | 1.620(1.199~2.190) | 0.002 | 1.397(1.010~1.933) | 0.044 |
EWHT | 97 | 23.10 | 1.819(1.429~2.316) | <0.001 | 1.730(1.357~2.205) | <0.001 | 1.483(1.115~1.971) | 0.007 |
年龄 | ||||||||
<45岁 | ||||||||
NWNT | 149 | 9.46 | 1 | 1 | 1 | |||
NWHT | 62 | 10.77 | 0.968(0.719~1.303) | 0.831 | 0.957(0.711~1.289) | 0.774 | 0.905(0.670~1.222) | 0.516 |
EWNT | 41 | 14.97 | 1.646(1.165~2.327) | 0.005 | 1.671(1.181~2.362) | 0.004 | 1.395(0.958~2.033) | 0.083 |
EWHT | 66 | 20.27 | 2.120(1.586~2.834) | <0.001 | 2.092(1.565~2.797) | <0.001 | 1.540(1.083~2.190) | 0.016 |
≥45岁 | ||||||||
NWNT | 150 | 15.37 | 1 | 1 | 1 | |||
NWHT | 93 | 18.50 | 1.054(0.813~1.368) | 0.690 | 1.058(0.815~1.373) | 0.671 | 1.085(0.835~1.410) | 0.543 |
EWNT | 51 | 20.85 | 1.447(1.053~1.988) | 0.023 | 1.458(1.058~2.010) | 0.021 | 1.224(0.866~1.729) | 0.252 |
EWHT | 94 | 26.79 | 1.640(1.266~2.125) | <0.001 | 1.653(1.272~2.147) | <0.001 | 1.401(1.034~1.900) | 0.030 |
超重/肥胖 | ||||||||
否 | ||||||||
NWNT | 260 | 11.62 | 1 | 1 | 1 | |||
NWHT | 119 | 14.06 | 1.044(0.839~1.299) | 0.699 | 0.971(0.780~1.210) | 0.796 | 0.967(0.774~1.207) | 0.765 |
EWNT | 26 | 16.17 | 1.484(0.991~2.221) | 0.055 | 1.528(1.019~2.291) | 0.040 | 1.471(0.972~2.224) | 0.068 |
EWHT | 23 | 20.31 | 1.633(1.066~2.503) | 0.024 | 1.456(0.947~2.238) | 0.087 | 1.480(0.953~2.297) | 0.081 |
是 | ||||||||
NWNT | 39 | 12.78 | 1 | 1 | 1 | |||
NWHT | 36 | 15.80 | 1.110(0.705~1.747) | 0.652 | 1.089(0.692~1.714) | 0.713 | 1.144(0.726~1.805) | 0.562 |
EWNT | 66 | 18.57 | 1.514(1.019~2.249) | 0.040 | 1.474(0.990~2.194) | 0.056 | 1.360(0.910~2.032) | 0.133 |
EWHT | 137 | 24.33 | 1.854(1.299~2.648) | 0.001 | 1.765(1.233~2.525) | 0.002 | 1.614(1.123~2.321) | 0.010 |
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