
Chinese General Practice ›› 2024, Vol. 27 ›› Issue (02): 144-149.DOI: 10.12114/j.issn.1007-9572.2023.0465
Special Issue: 消化系统疾病最新文章合辑
• Original Research • Previous Articles Next Articles
Received:2023-06-02
Revised:2023-08-31
Published:2024-01-15
Online:2023-10-23
Contact:
ZHANG Jingbo
通讯作者:
张静波
作者简介:基金资助:
Add to citation manager EndNote|Ris|BibTeX
URL: https://www.chinagp.net/EN/10.12114/j.issn.1007-9572.2023.0465
| 组别 | NAFLD人群(n=108 512) | 非NAFLD人群(n=217 214) | Z(t)值 | P值 |
|---|---|---|---|---|
| 年龄(岁) | 46.9±13.8 | 40.2±14.4 | 127.616b | <0.001 |
| 体质量(kg) | 74.7±11.9 | 63.4±11.3 | 259.703b | <0.001 |
| BMI(kg/m2) | 27.4±3.5 | 23.0±3.2 | 350.240b | <0.001 |
| FBG[M(P25,P75),mmol/L]a | 5.33(4.99,5.88) | 4.96(4.70,5.28) | 184.447 | <0.001 |
| SBP[M(P25,P75),mmHg]a | 130(120,141) | 119(109,130) | 168.130 | <0.001 |
| DBP[M(P25,P75),mmHg]a | 79(72,87) | 71(65,79) | 169.302 | <0.001 |
| TG[M(P25,P75),mmol/L]a | 1.63(1.17,2.31) | 0.91(0.66,1.29) | 263.997 | <0.001 |
| TC[M(P25,P75),mmol/L]a | 5.03(4.41,5.69) | 4.68(4.12,5.32) | 89.719 | <0.001 |
| HDL-C[M(P25,P75),mmol/L]a | 1.12(0.98,1.29) | 1.36(1.16,1.59) | -204.841 | <0.001 |
| LDL-C[M(P25,P75),mmol/L]a | 3.09(2.55,3.64) | 2.76(2.29,3.29) | 97.543 | <0.001 |
| SUA[M(P25,P75),μmol/L]a | 380.0(319.0,445.0) | 307.0(254.1,370.6) | 192.366 | <0.001 |
Table 1 Comparison of general data and laboratory test indicators between NAFLD and non-NAFLD populations
| 组别 | NAFLD人群(n=108 512) | 非NAFLD人群(n=217 214) | Z(t)值 | P值 |
|---|---|---|---|---|
| 年龄(岁) | 46.9±13.8 | 40.2±14.4 | 127.616b | <0.001 |
| 体质量(kg) | 74.7±11.9 | 63.4±11.3 | 259.703b | <0.001 |
| BMI(kg/m2) | 27.4±3.5 | 23.0±3.2 | 350.240b | <0.001 |
| FBG[M(P25,P75),mmol/L]a | 5.33(4.99,5.88) | 4.96(4.70,5.28) | 184.447 | <0.001 |
| SBP[M(P25,P75),mmHg]a | 130(120,141) | 119(109,130) | 168.130 | <0.001 |
| DBP[M(P25,P75),mmHg]a | 79(72,87) | 71(65,79) | 169.302 | <0.001 |
| TG[M(P25,P75),mmol/L]a | 1.63(1.17,2.31) | 0.91(0.66,1.29) | 263.997 | <0.001 |
| TC[M(P25,P75),mmol/L]a | 5.03(4.41,5.69) | 4.68(4.12,5.32) | 89.719 | <0.001 |
| HDL-C[M(P25,P75),mmol/L]a | 1.12(0.98,1.29) | 1.36(1.16,1.59) | -204.841 | <0.001 |
| LDL-C[M(P25,P75),mmol/L]a | 3.09(2.55,3.64) | 2.76(2.29,3.29) | 97.543 | <0.001 |
| SUA[M(P25,P75),μmol/L]a | 380.0(319.0,445.0) | 307.0(254.1,370.6) | 192.366 | <0.001 |
| 项目 | 人数 | NAFLD检出率 | χ2值 | P值 |
|---|---|---|---|---|
| 年龄 | 18 343.962 | <0.001 | ||
| 18~29岁 | 66 673 | 10 323(15.48) | ||
| 30~39岁 | 97 312 | 28 960(29.76) | ||
| 40~49岁 | 63 315 | 23 850(37.67) | ||
| 50~59岁 | 52 363 | 24 510(46.81) | ||
| 60~69岁 | 30 296 | 14 436(47.64) | ||
| 70~79岁 | 11 533 | 5 091(44.14) | ||
| ≥80岁 | 4 234 | 1 342(31.70) | ||
| 性别 | 17 518.893 | <0.001 | ||
| 男 | 170 256 | 74 503(43.76) | ||
| 女 | 155 470 | 34 009(21.87) | ||
| BMI | 73 546.527 | <0.001 | ||
| <18.5 kg/m2 | 19 433 | 5 402(27.80) | ||
| 18.5~23.9 kg/m2 | 146 784 | 17 247(11.75) | ||
| 24.0~27.9 kg/m2 | 113 386 | 51 556(45.47) | ||
| ≥28.0 kg/m2 | 46 123 | 34 307(74.38) |
Table 2 Comparison of NAFLD detection rate by age,sex and BMI
| 项目 | 人数 | NAFLD检出率 | χ2值 | P值 |
|---|---|---|---|---|
| 年龄 | 18 343.962 | <0.001 | ||
| 18~29岁 | 66 673 | 10 323(15.48) | ||
| 30~39岁 | 97 312 | 28 960(29.76) | ||
| 40~49岁 | 63 315 | 23 850(37.67) | ||
| 50~59岁 | 52 363 | 24 510(46.81) | ||
| 60~69岁 | 30 296 | 14 436(47.64) | ||
| 70~79岁 | 11 533 | 5 091(44.14) | ||
| ≥80岁 | 4 234 | 1 342(31.70) | ||
| 性别 | 17 518.893 | <0.001 | ||
| 男 | 170 256 | 74 503(43.76) | ||
| 女 | 155 470 | 34 009(21.87) | ||
| BMI | 73 546.527 | <0.001 | ||
| <18.5 kg/m2 | 19 433 | 5 402(27.80) | ||
| 18.5~23.9 kg/m2 | 146 784 | 17 247(11.75) | ||
| 24.0~27.9 kg/m2 | 113 386 | 51 556(45.47) | ||
| ≥28.0 kg/m2 | 46 123 | 34 307(74.38) |
| 年龄(岁) | 男性 | 女性 | χ2值 | P值 | ||
|---|---|---|---|---|---|---|
| 人数 | NAFLD检出率 | 人数 | NAFLD检出率 | |||
| 18~29 | 31 619 | 8 414(26.61) | 35 054 | 1 909(5.45) | 5 690.626 | <0.001 |
| 30~39 | 49 550 | 22 543(45.50) | 47 762 | 6 417(13.44) | 11 958.379 | <0.001 |
| 40~49 | 33 900 | 17 000(50.15) | 29 415 | 6 850(23.29) | 4 839.366 | <0.001 |
| 50~59 | 30 687 | 15 850(51.65) | 21 676 | 8 660(39.95) | 698.239 | <0.001 |
| 60~69 | 15 417 | 7 277(47.20) | 14 879 | 7 159(48.11) | 2.534 | 0.111 |
| 70~79 | 6 366 | 2 603(40.89) | 5 167 | 2 488(48.15) | 61.012 | <0.001 |
| ≥80 | 2 717 | 816(30.03) | 1 517 | 526(34.67) | 9.683 | 0.002 |
Table 3 Comparison of the detection rate of NAFLD in males and females by age
| 年龄(岁) | 男性 | 女性 | χ2值 | P值 | ||
|---|---|---|---|---|---|---|
| 人数 | NAFLD检出率 | 人数 | NAFLD检出率 | |||
| 18~29 | 31 619 | 8 414(26.61) | 35 054 | 1 909(5.45) | 5 690.626 | <0.001 |
| 30~39 | 49 550 | 22 543(45.50) | 47 762 | 6 417(13.44) | 11 958.379 | <0.001 |
| 40~49 | 33 900 | 17 000(50.15) | 29 415 | 6 850(23.29) | 4 839.366 | <0.001 |
| 50~59 | 30 687 | 15 850(51.65) | 21 676 | 8 660(39.95) | 698.239 | <0.001 |
| 60~69 | 15 417 | 7 277(47.20) | 14 879 | 7 159(48.11) | 2.534 | 0.111 |
| 70~79 | 6 366 | 2 603(40.89) | 5 167 | 2 488(48.15) | 61.012 | <0.001 |
| ≥80 | 2 717 | 816(30.03) | 1 517 | 526(34.67) | 9.683 | 0.002 |
| 自变量 | 赋值 |
|---|---|
| 年龄 | 18~29岁=0,30~49岁=1,40~49岁=2,50~59岁=3,60~69岁=4,70~79岁=5,≥80岁=6 |
| 性别 | 男=1,女=2 |
| BMI | 18.5~23.9 kg/m2=0,<18.5 kg/m2=1,24.0~27.9 kg/m2=2,≥28.0 kg/m2=3 |
| SBP | <140 mmHg=0,≥140 mmHg=1 |
| DBP | <90 mmHg=0,≥90 mmHg=1 |
| TG | <1.70 mmol/L=0,≥1.70 mmol/L=1 |
| TC | <5.20 mmol/L=0,≥5.20 mmol/L=1 |
| FBG | <6.10 mmol/L=0,≥6.10 mmol/L=1 |
| HDL-C | ≥1.0 mmol/L=0,<1.0 mmol/L=1 |
| LDL-C | <3.4 mmol/L=0,≥3.4 mmol/L=1 |
| SUA | 男性≤420 μmol/L=0、>420 μmol/L=1,女性≤360 μmol/L=0、>360 μmol/L=1 |
Table 4 Multivariate Logistic regression analysis of factors influencing the development of NAFLD in the physical examination population
| 自变量 | 赋值 |
|---|---|
| 年龄 | 18~29岁=0,30~49岁=1,40~49岁=2,50~59岁=3,60~69岁=4,70~79岁=5,≥80岁=6 |
| 性别 | 男=1,女=2 |
| BMI | 18.5~23.9 kg/m2=0,<18.5 kg/m2=1,24.0~27.9 kg/m2=2,≥28.0 kg/m2=3 |
| SBP | <140 mmHg=0,≥140 mmHg=1 |
| DBP | <90 mmHg=0,≥90 mmHg=1 |
| TG | <1.70 mmol/L=0,≥1.70 mmol/L=1 |
| TC | <5.20 mmol/L=0,≥5.20 mmol/L=1 |
| FBG | <6.10 mmol/L=0,≥6.10 mmol/L=1 |
| HDL-C | ≥1.0 mmol/L=0,<1.0 mmol/L=1 |
| LDL-C | <3.4 mmol/L=0,≥3.4 mmol/L=1 |
| SUA | 男性≤420 μmol/L=0、>420 μmol/L=1,女性≤360 μmol/L=0、>360 μmol/L=1 |
| 项目 | β | SE | Wald χ2值 | P值 | OR(95%CI) |
|---|---|---|---|---|---|
| 性别 | |||||
| 男性 | 0.160 | 0.011 | 224.655 | <0.001 | 1.173(1.149~1.198) |
| 年龄 | |||||
| 30~39岁 | 0.473 | 0.017 | 793.421 | <0.001 | 1.604(1.552~1.658) |
| 40~49岁 | 0.667 | 0.018 | 1 384.985 | <0.001 | 1.948(1.881~2.018) |
| 50~59岁 | 0.911 | 0.019 | 2 408.133 | <0.001 | 2.486(2.397~2.578) |
| 60~69岁 | 0.979 | 0.021 | 2 214.529 | <0.001 | 2.663(2.556~2.774) |
| 70~79岁 | 0.732 | 0.028 | 692.658 | <0.001 | 2.079(1.968~2.195) |
| ≥80岁 | 0.139 | 0.043 | 10.556 | <0.001 | 1.149(1.057~1.249) |
| BMI | |||||
| 18.5~23.9 kg/m2 | 1.098 | 0.022 | 2 510.233 | <0.001 | 2.997(2.871~3.129) |
| 24.0~27.9 kg/m2 | 1.364 | 0.011 | 14 062.805 | <0.001 | 3.911(3.823~4.000) |
| ≥28.0 kg/m2 | 2.466 | 0.015 | 25 342.403 | <0.001 | 11.780(11.427~12.143) |
| SBP | |||||
| ≥140 mmHg | 0.183 | 0.015 | 152.265 | <0.001 | 1.200(1.166~1.236) |
| DBP | |||||
| ≥90 mmHg | 0.163 | 0.017 | 89.119 | <0.001 | 1.177(1.138~1.218) |
| TG | |||||
| ≥1.70 mmol/L | 1.081 | 0.012 | 8 656.887 | <0.001 | 2.946(2.880~3.014) |
| TC | |||||
| ≥5.20 mmol/L | 0.049 | 0.015 | 10.732 | <0.001 | 1.050(1.020~1.082) |
| FBG | |||||
| ≥6.10 mmol/L | 0.659 | 0.015 | 1 817.424 | <0.001 | 1.934(1.876~1.993) |
| HDL-C | |||||
| <1.0 mmol/L | 0.498 | 0.014 | 1 577.669 | <0.001 | 1.645(1.605~1.686) |
| LDL-C | |||||
| ≥3.4 mmol/L | 0.405 | 0.015 | 692.283 | <0.001 | 1.499(1.455~1.545) |
| SUA | |||||
| 男性>420 μmol/L、女性>360 μmol/L | 0.726 | 0.011 | 4 111.984 | <0.001 | 2.067(2.021~2.113) |
Table 5 Multivariate Logistic regression analysis of influencing factors of NAFLD in physical examination population
| 项目 | β | SE | Wald χ2值 | P值 | OR(95%CI) |
|---|---|---|---|---|---|
| 性别 | |||||
| 男性 | 0.160 | 0.011 | 224.655 | <0.001 | 1.173(1.149~1.198) |
| 年龄 | |||||
| 30~39岁 | 0.473 | 0.017 | 793.421 | <0.001 | 1.604(1.552~1.658) |
| 40~49岁 | 0.667 | 0.018 | 1 384.985 | <0.001 | 1.948(1.881~2.018) |
| 50~59岁 | 0.911 | 0.019 | 2 408.133 | <0.001 | 2.486(2.397~2.578) |
| 60~69岁 | 0.979 | 0.021 | 2 214.529 | <0.001 | 2.663(2.556~2.774) |
| 70~79岁 | 0.732 | 0.028 | 692.658 | <0.001 | 2.079(1.968~2.195) |
| ≥80岁 | 0.139 | 0.043 | 10.556 | <0.001 | 1.149(1.057~1.249) |
| BMI | |||||
| 18.5~23.9 kg/m2 | 1.098 | 0.022 | 2 510.233 | <0.001 | 2.997(2.871~3.129) |
| 24.0~27.9 kg/m2 | 1.364 | 0.011 | 14 062.805 | <0.001 | 3.911(3.823~4.000) |
| ≥28.0 kg/m2 | 2.466 | 0.015 | 25 342.403 | <0.001 | 11.780(11.427~12.143) |
| SBP | |||||
| ≥140 mmHg | 0.183 | 0.015 | 152.265 | <0.001 | 1.200(1.166~1.236) |
| DBP | |||||
| ≥90 mmHg | 0.163 | 0.017 | 89.119 | <0.001 | 1.177(1.138~1.218) |
| TG | |||||
| ≥1.70 mmol/L | 1.081 | 0.012 | 8 656.887 | <0.001 | 2.946(2.880~3.014) |
| TC | |||||
| ≥5.20 mmol/L | 0.049 | 0.015 | 10.732 | <0.001 | 1.050(1.020~1.082) |
| FBG | |||||
| ≥6.10 mmol/L | 0.659 | 0.015 | 1 817.424 | <0.001 | 1.934(1.876~1.993) |
| HDL-C | |||||
| <1.0 mmol/L | 0.498 | 0.014 | 1 577.669 | <0.001 | 1.645(1.605~1.686) |
| LDL-C | |||||
| ≥3.4 mmol/L | 0.405 | 0.015 | 692.283 | <0.001 | 1.499(1.455~1.545) |
| SUA | |||||
| 男性>420 μmol/L、女性>360 μmol/L | 0.726 | 0.011 | 4 111.984 | <0.001 | 2.067(2.021~2.113) |
| [1] |
WHO. Preventing chronic diseases:a vital investment[R/OL].[2023-01-03].
|
| [2] | |
| [3] |
|
| [4] |
|
| [5] |
|
| [6] |
韩洁. 非酒精性脂肪肝患病率调查、危险因素分析及与动脉硬化关系的临床研究[D]. 济南:山东大学,2019.
|
| [7] |
|
| [8] |
|
| [9] |
|
| [10] |
|
| [11] |
|
| [12] |
王缕,张志红,冯健,等. 泸州市某单位体检人群脂肪肝患病率及危险因素分析[J]. 现代预防医学,2018,45(6):1109-1113.
|
| [13] |
|
| [14] |
中华医学会肝病学分会脂肪肝和酒精性肝病学组,中国医师协会脂肪性肝病专家委员会. 非酒精性脂肪性肝病防治指南(2018年更新版)[J]. 临床肝胆病杂志,2018,34(5):947-957.
|
| [15] |
范建高. 中国非酒精性脂肪性肝病诊疗指南(2010年修订版)[J]. 中国医学前沿杂志(电子版),2012,4(7):4-10.
|
| [16] | |
| [17] |
中国高血压防治指南修订委员会,高血压联盟(中国),中华医学会心血管病学分会,等.中国高血压防治指南(2018年修订版)[J]. 中国心血管杂志,2019,24(1):24-56.
|
| [18] |
诸骏仁,高润霖,赵水平,等. 中国成人血脂异常防治指南(2016年修订版)[J]. 中国循环杂志,2016,31(10):937-953.
|
| [19] |
中华医学会内分泌学分会. 中国高尿酸血症与痛风诊疗指南(2019)[J]. 中华内分泌代谢杂志,2020,36(1):1-13.
|
| [20] |
中华人民共和国国家质量监督检验检疫总局,国家标准化管理委员会. WS/T428-2013成人体重判定[S].北京:中国标准出版社,2013.
|
| [21] |
周焰,管孟芹. 脂肪肝与高血压病、高脂血症、糖尿病以及体重指数相关性分析[J]. 现代消化及介入诊疗,2017,22(3):382-384. DOI:10.3969/j.issn.1672-2159.2017.03.031.
|
| [22] |
|
| [23] |
|
| [24] |
李晓斐,陈晶晶,朴正福. 非酒精性脂肪肝患者肝功能、血脂和血糖水平分析[J]. 肝脏,2016,21(7):567-569. DOI:10.14000/j.cnki.issn.1008-1704.2016.07.013.
|
| [25] |
王倩,武珊,白云瑞,等. 基于结构方程模型的膳食模式与非酒精性脂肪肝的关系研究[J]. 中国慢性病预防与控制,2022,30(11):873-876. DOI:10.16386/j.cjpccd.issn.1004-6194.2022.11.016.
|
| [26] |
杨洋,李飞,孔令希,等. 重庆渝东南地区男性体检人群非酒精性脂肪肝检出情况及相关分析[J]. 重庆医科大学学报,2022,47(9):1047-1052. DOI:10.13406/j.cnki.cyxb.003098.
|
| [27] |
王子兵,宋桂花,王云玲,等. 肌减少性肥胖与非酒精性脂肪肝的关系[J]. 中国慢性病预防与控制,2019,27(11):814-817. DOI:10.16386/j.cjpccd.issn.1004-6194.2019.11.004.
|
| [28] |
常琴雪,王肖萌,王淳,等. 基于关联规则的老年人脂肪肝相关危险因素研究[J]. 中国卫生统计,2022,39(4):558-561. DOI:10.3969/j.issn.1002-3674.2022.04.017.
|
| [29] |
高秋爽,马爱江,成丽岚,等. 老年体检人群非酒精性脂肪肝病的患病情况及相关因素分析[J]. 实用预防医学,2022,29(9):1102-1105.
|
| [30] |
叶瑶,陈维芊,龙柳艳,等. 体质量与甘油三酯交互作用对老年非酒精性脂肪肝的关联分析[J]. 现代预防医学,2022,49(6):992-996,1002.
|
| [31] |
|
| [32] |
|
| [33] |
|
| [34] |
|
| [35] |
|
| [36] |
杨晨露,赵欣宇,胡诗琪,等. 体质量控制与非酒精性脂肪性肝病:来自中国人群的证据[J]. 协和医学杂志,2023,14(1):44-49. DOI:10.12290/xhyxzz.2022-0691.
|
| [37] |
中国老年学和老年医学学会. 老年非酒精性脂肪性肝病慢病管理指南[J]. 中西医结合肝病杂志,2022,32(8):769-772.
|
| [38] |
胡秋峰,张勇. 血糖、血脂及肥胖因素与脂肪肝的关系研究[J]. 现代医药卫生,2016,32(3):422-423. DOI:10.3969/j.issn.1009-5519.2016.03.038.
|
| [39] |
呼聪慧,阿力米热·阿布迪热依木,苏银霞,等. 2020年乌鲁木齐市新市区成年人脂肪肝患病情况及危险因素分析[J]. 华南预防医学,2022,48(6):703-706.
|
| [40] |
杨桂玲. 非酒精性脂肪肝与血糖、血脂、血压及血尿酸水平的相关性研究[J]. 中国医药科学,2015,5(17):191-193.
|
| [1] | LI Jiawei, GAO Xinyi, GE Aoqi, LI Juanjuan, YUAN Beibei. Demand and Associated Factors for Integrated Medical Care and Preventive Services among Patients with Type 2 Diabetes [J]. Chinese General Practice, 2026, 29(21): 3028-3039. |
| [2] | LI Feng, HU Changhao, LUO Xu. Progress in the Study of Influencing Factors and Intervention Strategies of Mental Health in Elderly Patients with Multiple Chronic Conditions [J]. Chinese General Practice, 2026, 29(20): 2816-2828. |
| [3] | GE Dan, WANG Zhi, DING Qun, GUO Tonglan, XU Tongdao. Relationship between Remnant Cholesterol and Non-alcoholic Fatty Liver Disease as well as Progressive Liver Fibrosis in Patients with Type 2 Diabetes Mellitus [J]. Chinese General Practice, 2026, 29(20): 2854-2859. |
| [4] | ZHANG Huifang, CHEN Cunchuan, FAN Boyang, SUN Wenning, WANG Yingjie, ZHANG Ao, ZHAO Yang, WANG Haipeng. Study on the Service Capability of Primary Care Doctors to Integrate Medical and Preventive Services and Its Influencing Factors in Shandong Province [J]. Chinese General Practice, 2026, 29(19): 2711-2716. |
| [5] | TANG Lijuan, QI Qi, ZHANG Fan, GAO Yifu, CAO Yajing, YUE Fujuan, GAO Jinchai, LIU Xiaoli. Characterisation of the Prevalence of Overweight/Obesity among Residents Aged 18-44 Years in Hebei Province in 2013 and 2020 [J]. Chinese General Practice, 2026, 29(19): 2695-2704. |
| [6] | LIU Fang, LIU Weinan, XIANG Yuanyue, LU Cheng, ZHU Binhai. Factors Influencing Work-related Flow among "3+2" Order-oriented Assistant General Practitioners in Jiangsu Province [J]. Chinese General Practice, 2026, 29(18): 2454-2460. |
| [7] | HUANG Minshan, CHEN Hang, LI Liya, YANG Taiming, CHEN Lifang, LI Shenchao, REN Li, WANG Hui, LI Mingke, WANG Xianmei, WANG Da, WAN Ying, HE Yule, ZHOU Qingqing, LI Yu, LI Mengwei, LU Lihong, LUO Yifan, MA Lanqing. The Current Status of Awareness and Influencing Factors Analysis of Metabolic-associated Fatty Liver Disease among the General Population in Multiple Regions of Yunnan [J]. Chinese General Practice, 2026, 29(17): 2347-2353. |
| [8] | CHEN Yan, SHEN Dequan, SHENG Renlei, CHANG Yujie, YANG Jiaqi, DING Jie, SUN Zhifang, WANG Dahui. Influencing Factors and Importance Ranking of the Utilization of Primary-level Traditional Chinese Medicine Preventive and Health Care Services for the Elderly [J]. Chinese General Practice, 2026, 29(16): 2182-2189. |
| [9] | YU Shan, CHE Yajie, SUBIYINUER· Maimaiti, GUO Kaiyang, FENG Xingxing, YAN Ping. A Comparative Study on the Current Situation and Influencing Factors of Subjective Cognitive Decline among Urban and Rural Elderly People in Xinjiang [J]. Chinese General Practice, 2026, 29(16): 2227-2233. |
| [10] | CHEN Bihua, LIN Qiyi, LI Wuhua, SU Jin, TU Liping, SHI Lan, DING Xiaoqin, YI Chuntao. The Influencing Factors and Mechanisms of the Work Output Level of Family Doctor Teams from the Perspective of Team Effectiveness [J]. Chinese General Practice, 2026, 29(16): 2167-2173. |
| [11] | YU Chao, SONG Lihua, WANG Linyan, LU Yunping, WANG Linyang, CUI Wei. The Functional Outcomes and Influencing Factors in Patients with First-episode Major Depressive Disorder after 7 Years [J]. Chinese General Practice, 2026, 29(16): 2221-2226. |
| [12] | LUO Yutong, LI Jing. The HPV Vaccine Coverage and Its Influencing Factors among the Eligible Population in China Based on a Geographically Weighted Regression Model [J]. Chinese General Practice, 2026, 29(16): 2234-2243. |
| [13] | FU Mingyuan, YU Xiaoyi, GE Caiying, KONG Min. Impaired Awareness of Hypoglycemia: Prevalence and Determinants among Community-based Patients with Type 2 Diabetes Mellitus [J]. Chinese General Practice, 2026, 29(16): 2252-2258. |
| [14] | SUN Xinyue, FENG Xingmiao, WANG Yu, LYU Bo, ZHAI Ziyan, LIANG Shuyu, MENG Kai. Analysis of Clinic Operation Efficiency and Its Changing Trend in Beijing [J]. Chinese General Practice, 2026, 29(14): 1811-1815. |
| [15] | QIU Yanli, GAO Yongyin, BIAN Xueyan, WANG Xue, LI Yue. The Predictive Value of Estimated Pulse Wave Velocity for All-cause and Cardiovascular-related Mortality in Cancer Patients [J]. Chinese General Practice, 2026, 29(14): 1890-1897. |
| Viewed | ||||||
|
Full text |
|
|||||
|
Abstract |
|
|||||