Chinese General Practice ›› 2022, Vol. 25 ›› Issue (11): 1327-1333.DOI: 10.12114/j.issn.1007-9572.2022.02.027
Special Issue: 睡眠研究最新文章合集; 老年人群健康最新文章合集; 骨健康最新文章合集; 睡眠问题专题研究; 老年问题最新文章合集
• Article • Previous Articles Next Articles
Effect of Sleep Time and Sleep Quality on the Risk of Low Back Pain among the Middle-aged and Elderly People in China
Department of Social Medicine and Health Management,School of Public Health,Lanzhou University,Lanzhou 730000,China
*Corresponding author:DING Guowu,Professor,Master supervisor;E-mail:dinggwlzu@163.com
LI Qiaomei and WANG Yihui are co-first authors
Received:
2021-10-20
Revised:
2022-02-12
Published:
2022-04-15
Online:
2022-03-28
通讯作者:
丁国武
CLC Number:
LI Qiaomei, WANG Yihui, YU Li, WANG Pengju, GAO Yinyan, ZHAO Honglin, DING Guowu.
Effect of Sleep Time and Sleep Quality on the Risk of Low Back Pain among the Middle-aged and Elderly People in China [J]. Chinese General Practice, 2022, 25(11): 1327-1333.
Add to citation manager EndNote|Ris|BibTeX
URL: https://www.chinagp.net/EN/10.12114/j.issn.1007-9572.2022.02.027
特征 | <7 h/d(n=1 549 ) | 7~8 h/d(n=1 843) | ≥9 h/d(n=1 067) | χ2值 | P值 | |
---|---|---|---|---|---|---|
性别 | 35.785 | <0.05 | ||||
男 | 695(44.9) | 986(53.5) | 590(55.3) | |||
女 | 854(55.1) | 857(46.5) | 477(44.7) | |||
年龄(岁) | 43.293 | <0.05 | ||||
45~ | 869(56.1) | 1 221(66.3) | 609(57.1) | |||
≥60 | 680(43.9) | 622(33.7) | 458(42.9) | |||
居住地 | 9.131 | <0.05 | ||||
城市 | 286(18.5) | 408(22.1) | 197(18.5) | |||
农村 | 1 263(81.5) | 1 435(77.9) | 870(81.5) | |||
受教育程度 | 40.453 | <0.05 | ||||
小学及以下 | 1 079(69.7) | 1 100(59.7) | 693(64.9) | |||
初中、高中及中专 | 445(28.7) | 687(37.3) | 355(33.3) | |||
大专、本科及硕士 | 25(1.6) | 56(3.0) | 19(1.8) | |||
婚姻状况 | 16.407 | <0.05 | ||||
已婚 | 1 339(86.4) | 1 671(90.7) | 939(88.0) | |||
未婚 | 12(0.8) | 12(0.7) | 11(1.0) | |||
离异、丧偶及分居 | 198(12.8) | 160(8.7) | 117(11.0) | |||
工作类型 | 22.294 | <0.05 | ||||
农户 | 1 210(78.1) | 1 345(73.0) | 824(77.2) | |||
政府部门或事业单位 | 93(6.0) | 135(7.3) | 90(8.4) | |||
非营利机构或企业 | 142(9.2) | 215(11.7) | 88(8.3) | |||
个体户、居民户或其他 | 104(6.7) | 148(8.0) | 65(6.1) | |||
患慢性病 | 20.343 | <0.05 | ||||
是 | 1 024(66.1) | 1 090(59.1) | 633(59.3) | |||
否 | 525(33.9) | 753(40.9) | 434(40.7) | |||
BMI(kg/m2) | 22.128 | <0.05 | ||||
<18.5 | 102(6.6) | 69(3.7) | 54(5.1) | |||
18.5~23.9 | 826(53.3) | 938(50.9) | 527(49.4) | |||
≥24.0 | 621(40.1) | 836(45.4) | 486(45.5) | |||
吸烟 | 4.640 | 0.098 | ||||
是 | 601(38.8) | 776(42.1) | 450(42.2) | |||
否 | 948(61.2) | 1 067(57.9) | 617(57.8) | |||
饮酒 | 4.398 | 0.111 | ||||
是 | 532(34.3) | 697(37.8) | 386(36.2) | |||
否 | 1 017(65.7) | 1 146(62.2) | 681(63.8) |
Table 1 Comparison of baseline characteristics of people with different sleep time
特征 | <7 h/d(n=1 549 ) | 7~8 h/d(n=1 843) | ≥9 h/d(n=1 067) | χ2值 | P值 | |
---|---|---|---|---|---|---|
性别 | 35.785 | <0.05 | ||||
男 | 695(44.9) | 986(53.5) | 590(55.3) | |||
女 | 854(55.1) | 857(46.5) | 477(44.7) | |||
年龄(岁) | 43.293 | <0.05 | ||||
45~ | 869(56.1) | 1 221(66.3) | 609(57.1) | |||
≥60 | 680(43.9) | 622(33.7) | 458(42.9) | |||
居住地 | 9.131 | <0.05 | ||||
城市 | 286(18.5) | 408(22.1) | 197(18.5) | |||
农村 | 1 263(81.5) | 1 435(77.9) | 870(81.5) | |||
受教育程度 | 40.453 | <0.05 | ||||
小学及以下 | 1 079(69.7) | 1 100(59.7) | 693(64.9) | |||
初中、高中及中专 | 445(28.7) | 687(37.3) | 355(33.3) | |||
大专、本科及硕士 | 25(1.6) | 56(3.0) | 19(1.8) | |||
婚姻状况 | 16.407 | <0.05 | ||||
已婚 | 1 339(86.4) | 1 671(90.7) | 939(88.0) | |||
未婚 | 12(0.8) | 12(0.7) | 11(1.0) | |||
离异、丧偶及分居 | 198(12.8) | 160(8.7) | 117(11.0) | |||
工作类型 | 22.294 | <0.05 | ||||
农户 | 1 210(78.1) | 1 345(73.0) | 824(77.2) | |||
政府部门或事业单位 | 93(6.0) | 135(7.3) | 90(8.4) | |||
非营利机构或企业 | 142(9.2) | 215(11.7) | 88(8.3) | |||
个体户、居民户或其他 | 104(6.7) | 148(8.0) | 65(6.1) | |||
患慢性病 | 20.343 | <0.05 | ||||
是 | 1 024(66.1) | 1 090(59.1) | 633(59.3) | |||
否 | 525(33.9) | 753(40.9) | 434(40.7) | |||
BMI(kg/m2) | 22.128 | <0.05 | ||||
<18.5 | 102(6.6) | 69(3.7) | 54(5.1) | |||
18.5~23.9 | 826(53.3) | 938(50.9) | 527(49.4) | |||
≥24.0 | 621(40.1) | 836(45.4) | 486(45.5) | |||
吸烟 | 4.640 | 0.098 | ||||
是 | 601(38.8) | 776(42.1) | 450(42.2) | |||
否 | 948(61.2) | 1 067(57.9) | 617(57.8) | |||
饮酒 | 4.398 | 0.111 | ||||
是 | 532(34.3) | 697(37.8) | 386(36.2) | |||
否 | 1 017(65.7) | 1 146(62.2) | 681(63.8) |
特征 | 睡眠质量好(n=2 700) | 睡眠质量受损(n=1 759) | χ2值 | P值 | |
---|---|---|---|---|---|
性别 | 118.858 | <0.05 | |||
男 | 1 553(57.5) | 718(40.8) | |||
女 | 1 147(42.5) | 1 041(59.2) | |||
年龄(岁) | 1.852 | 0.174 | |||
45~ | 1 656(61.3) | 1 043(59.3) | |||
≥60 | 1 044(38.7) | 716(40.7) | |||
居住地 | 2.006 | 0.157 | |||
城市 | 558(20.7) | 333(18.9) | |||
农村 | 2 142(79.3) | 1 426(81.1) | |||
受教育程度 | 30.073 | <0.05 | |||
小学及以下 | 1 652(61.2) | 1 220(69.3) | |||
初中、高中及中专 | 981(36.3) | 506(28.8) | |||
大专、本科及硕士 | 67(2.5) | 33(1.9) | |||
婚姻状况 | 17.958 | <0.05 | |||
已婚 | 2 434(90.1) | 1 515(86.1) | |||
未婚 | 21(0.8) | 14(0.8) | |||
离异、丧偶及分居 | 245(9.1) | 230(13.1) | |||
工作类型 | 6.560 | 0.087 | |||
农户 | 2 015(74.6) | 1 364(77.5) | |||
政府部门或事业单位 | 211(7.8) | 107(6.1) | |||
非营利机构或企业 | 276(10.2) | 169(9.6) | |||
个体户、居民户或其他 | 198(7.4) | 119(6.8) | |||
患慢性病 | 58.023 | <0.05 | |||
是 | 1 517(56.2) | 1 230(69.9) | |||
否 | 1 183(43.8) | 529(30.1) | |||
BMI(kg/m2) | 121.739 | <0.05 | |||
<18.5 | 105(3.9) | 120(6.8) | |||
18.5~23.9 | 1 396(51.7) | 895(50.9) | |||
≥24 | 1 999(44.4) | 744(2.3) | |||
吸烟 | 38.604 | <0.05 | |||
是 | 1 206(44.7) | 621(35.3) | |||
否 | 1 494(55.3) | 1 138(64.7) | |||
饮酒 | 39.105 | <0.05 | |||
是 | 1 076(39.9) | 539(30.6) | |||
否 | 1 624(60.1) | 1 220(69.4) |
Table 2 Comparison of baseline characteristics of people with different sleep quality
特征 | 睡眠质量好(n=2 700) | 睡眠质量受损(n=1 759) | χ2值 | P值 | |
---|---|---|---|---|---|
性别 | 118.858 | <0.05 | |||
男 | 1 553(57.5) | 718(40.8) | |||
女 | 1 147(42.5) | 1 041(59.2) | |||
年龄(岁) | 1.852 | 0.174 | |||
45~ | 1 656(61.3) | 1 043(59.3) | |||
≥60 | 1 044(38.7) | 716(40.7) | |||
居住地 | 2.006 | 0.157 | |||
城市 | 558(20.7) | 333(18.9) | |||
农村 | 2 142(79.3) | 1 426(81.1) | |||
受教育程度 | 30.073 | <0.05 | |||
小学及以下 | 1 652(61.2) | 1 220(69.3) | |||
初中、高中及中专 | 981(36.3) | 506(28.8) | |||
大专、本科及硕士 | 67(2.5) | 33(1.9) | |||
婚姻状况 | 17.958 | <0.05 | |||
已婚 | 2 434(90.1) | 1 515(86.1) | |||
未婚 | 21(0.8) | 14(0.8) | |||
离异、丧偶及分居 | 245(9.1) | 230(13.1) | |||
工作类型 | 6.560 | 0.087 | |||
农户 | 2 015(74.6) | 1 364(77.5) | |||
政府部门或事业单位 | 211(7.8) | 107(6.1) | |||
非营利机构或企业 | 276(10.2) | 169(9.6) | |||
个体户、居民户或其他 | 198(7.4) | 119(6.8) | |||
患慢性病 | 58.023 | <0.05 | |||
是 | 1 517(56.2) | 1 230(69.9) | |||
否 | 1 183(43.8) | 529(30.1) | |||
BMI(kg/m2) | 121.739 | <0.05 | |||
<18.5 | 105(3.9) | 120(6.8) | |||
18.5~23.9 | 1 396(51.7) | 895(50.9) | |||
≥24 | 1 999(44.4) | 744(2.3) | |||
吸烟 | 38.604 | <0.05 | |||
是 | 1 206(44.7) | 621(35.3) | |||
否 | 1 494(55.3) | 1 138(64.7) | |||
饮酒 | 39.105 | <0.05 | |||
是 | 1 076(39.9) | 539(30.6) | |||
否 | 1 624(60.1) | 1 220(69.4) |
变量 | 赋值 |
---|---|
年龄 | 45~岁=0,≥60岁=1 |
居住地 | 城市=0,农村=1 |
受教育程度 | 小学及以下=1,初中、高中及中专=2,大专、本科及硕士=3 |
工作类型 | 农户=1,政府部门或事业单位=2,非营利机构或企业=3,个体户、居民户或其他=4 |
慢性病 | 有=1,无=0 |
吸烟 | 是=1,否=0 |
饮酒 | 是=1,否=0 |
Table 3 Assignment table of multivariate Cox proportional hazards regression analysis of the relationship between sleep time,sleep quality and the occurrence of low back pain
变量 | 赋值 |
---|---|
年龄 | 45~岁=0,≥60岁=1 |
居住地 | 城市=0,农村=1 |
受教育程度 | 小学及以下=1,初中、高中及中专=2,大专、本科及硕士=3 |
工作类型 | 农户=1,政府部门或事业单位=2,非营利机构或企业=3,个体户、居民户或其他=4 |
慢性病 | 有=1,无=0 |
吸烟 | 是=1,否=0 |
饮酒 | 是=1,否=0 |
变量 | 模型1 | 模型2 | 模型3 | ||||
---|---|---|---|---|---|---|---|
HR(95%CI) | P值 | HR(95%CI) | P值 | HR(95%CI) | P值 | ||
睡眠时间(以7~8 h/d为参照) | |||||||
<7 h/d | 1.79(1.50,2.14) | <0.001 | 1.71(1.43,2.04) | <0.001 | 1.63(1.37,1.95) | <0.001 | |
≥9 h/d | 1.02(0.81,1.28) | 0.884 | 0.98(0.78,1.23) | 0.863 | 0.96(0.77,1.21) | 0.739 | |
睡眠质量(以好为参照) | |||||||
受损 | 2.00(1.71,2.35) | <0.001 | 1.96(1.67,2.30) | <0.001 | 1.85(1.58,2.17) | <0.001 |
Table 4 Multivariate Cox proportional hazards regression analysis of the relationship between sleep time,sleep quality and low back pain
变量 | 模型1 | 模型2 | 模型3 | ||||
---|---|---|---|---|---|---|---|
HR(95%CI) | P值 | HR(95%CI) | P值 | HR(95%CI) | P值 | ||
睡眠时间(以7~8 h/d为参照) | |||||||
<7 h/d | 1.79(1.50,2.14) | <0.001 | 1.71(1.43,2.04) | <0.001 | 1.63(1.37,1.95) | <0.001 | |
≥9 h/d | 1.02(0.81,1.28) | 0.884 | 0.98(0.78,1.23) | 0.863 | 0.96(0.77,1.21) | 0.739 | |
睡眠质量(以好为参照) | |||||||
受损 | 2.00(1.71,2.35) | <0.001 | 1.96(1.67,2.30) | <0.001 | 1.85(1.58,2.17) | <0.001 |
变量 | 男性 | 女性 | |||||
---|---|---|---|---|---|---|---|
HR | 95%CI | P值 | HR | 95%CI | P值 | ||
睡眠时间(以7~8 h/d为参照) | |||||||
<7 h/d | 1.47 | (1.09,1.98) | 0.012 | 1.76 | (1.41,2.20) | <0.001 | |
≥9 h/d | 0.84 | (0.58,1.21) | 0.352 | 1.05 | (0.79,1.41) | 0.724 | |
睡眠质量(以好为参照) | |||||||
受损 | 2.09 | (1.60,2.74) | <0.001 | 1.73 | (1.41,2.11) | <0.001 |
Table 5 Multivariate Cox proportional hazards regression analysis of the relationship between sleep time,sleep quality and low back pain in different genders
变量 | 男性 | 女性 | |||||
---|---|---|---|---|---|---|---|
HR | 95%CI | P值 | HR | 95%CI | P值 | ||
睡眠时间(以7~8 h/d为参照) | |||||||
<7 h/d | 1.47 | (1.09,1.98) | 0.012 | 1.76 | (1.41,2.20) | <0.001 | |
≥9 h/d | 0.84 | (0.58,1.21) | 0.352 | 1.05 | (0.79,1.41) | 0.724 | |
睡眠质量(以好为参照) | |||||||
受损 | 2.09 | (1.60,2.74) | <0.001 | 1.73 | (1.41,2.11) | <0.001 |
Figure 2 Restricted cubic spline plot of the dose-response relationship between sleeping hours per day and low back pain in male and female participants
变量 | HR | 95%CI | P值 |
---|---|---|---|
睡眠时间和睡眠质量(以睡眠时间7~8 h且睡眠质量好为参照) | |||
睡眠时间<7 h/d且睡眠质量好 | 1.55 | (1.06,1.95) | 0.018 |
睡眠时间<7 h/d且睡眠质量受损 | 2.26 | (1.80,2.83) | <0.001 |
睡眠时间7~8 h/d且睡眠质量受损 | 1.72 | (1.30,2.27) | <0.001 |
睡眠时间≥9 h/d且睡眠质量好 | 1.06 | (0.80,1.40) | 0.682 |
睡眠时间≥9 h/d且睡眠质量受损 | 1.71 | (1.15,2.55) | <0.001 |
Table 6 Multivariate Cox proportional hazards regression analysis of the relationship between sleep time combined with sleep quality and low back pain
变量 | HR | 95%CI | P值 |
---|---|---|---|
睡眠时间和睡眠质量(以睡眠时间7~8 h且睡眠质量好为参照) | |||
睡眠时间<7 h/d且睡眠质量好 | 1.55 | (1.06,1.95) | 0.018 |
睡眠时间<7 h/d且睡眠质量受损 | 2.26 | (1.80,2.83) | <0.001 |
睡眠时间7~8 h/d且睡眠质量受损 | 1.72 | (1.30,2.27) | <0.001 |
睡眠时间≥9 h/d且睡眠质量好 | 1.06 | (0.80,1.40) | 0.682 |
睡眠时间≥9 h/d且睡眠质量受损 | 1.71 | (1.15,2.55) | <0.001 |
[1] | CHOU R,QASEEM A,SNOW V,et al. Diagnosis and treatment of low back pain:a joint clinical practice guideline from the American College of Physicians and the American Pain Society[J]. Ann Intern Med,2007,147(7):478-491. DOI:10.7326/0003-4819-147-7-200710020-00006. |
[2] | 中国康复医学会脊柱脊髓专业委员会专家组. 中国急/慢性非特异性腰背痛诊疗专家共识[J]. 中国脊柱脊髓杂志,2016,26(12):1134-1138. DOI:10.3969/j.issn.1004-406X.2016.12.16. |
[3] | 张砚卓,王倩倩,袁越,等. 中国45岁以上人群腰痛患病率调查:基于中国健康与养老追踪调查数据[J]. 骨科临床与研究杂志,2018,3(1):38-42. DOI:10.19548/j.2096-269x.2018.01.009. |
[4] | 刘芸,董永海,李晓云,等. 中国60岁以上老年人睡眠障碍患病率的Meta分析[J]. 现代预防医学,2014,41(8):1442-1445,1449. |
[5] | VINSTRUP J,JAKOBSEN M D,ANDERSEN L L. Poor sleep is a risk factor for low-back pain among healthcare workers:prospective cohort study[J]. Int J Environ Res Public Health,2020,17(3):996. DOI:10.3390/ijerph17030996. |
[6] | AUVINEN J P,TAMMELIN T H,TAIMELA S P,et al. Is insufficient quantity and quality of sleep a risk factor for neck,shoulder and low back pain? A longitudinal study among adolescents[J]. Eur Spine J,2010,19(4):641-649. DOI:10.1007/s00586-009-1215-2. |
[7] | 中国健康与养老追踪调查[EB/OL].(2019-09-13) [2020-05-18]. . |
[8] | 马冠生,崔朝辉,胡小琪,等. 中国居民的睡眠时间分析[J]. 中国慢性病预防与控制,2006,14(2):68-71. DOI:10.3969/j.issn.1004-6194.2006.02.002. |
[9] | HOY D,BAIN C,WILLIAMS G,et al. A systematic review of the global prevalence of low back pain[J]. Arthritis Rheum,2012,64(6):2028-2037. DOI:10.1002/art.34347. |
[10] | SARAGIOTTO B T,MAHER C G,YAMATO T P,et al. Motor control exercise for chronic non-specific low-back pain[J]. Cochrane Database Syst Rev,2016(1):CD012004. DOI:10.1002/14651858.CD012004. |
[11] | STEWART WILLIAMS J,NG N,PELTZER K,et al. Risk factors and disability associated with low back pain in older adults in low- and middle-income countries. Results from the WHO study on global AGEing and adult health (SAGE)[J]. PLoS One,2015,10(6):e0127880. DOI:10.1371/journal.pone.0127880. |
[12] | MARIN R,CYHAN T,MIKLOS W. Sleep disturbance in patients with chronic low back pain[J]. Am J Phys Med Rehabil,2006,85(5):430-435. DOI:10.1097/01.phm.0000214259.06380.79. |
[13] | MARTY M,ROZENBERG S,DUPLAN B,et al. Quality of sleep in patients with chronic low back pain:a case-control study[J]. Eur Spine J,2008,17(6):839-844. DOI:10.1007/s00586-008-0660-7. |
[14] | ALSAADI S M,MCAULEY J H,HUSH J M,et al. The bidirectional relationship between pain intensity and sleep disturbance/quality in patients with low back pain[J]. Clin J Pain,2014,30(9):755-765. DOI:10.1097/AJP.0000000000000055. |
[15] | NIJS J,MAIRESSE O,NEU D,et al. Sleep disturbances in chronic pain:neurobiology,assessment,and treatment in physical therapist practice[J]. Phys Ther,2018,98(5):325-335. DOI:10.1093/ptj/pzy020. |
[16] | FINAN P H,SMITH M T. The comorbidity of insomnia,chronic pain,and depression:dopamine as a putative mechanism[J]. Sleep Med Rev,2013,17(3):173-183. DOI:10.1016/j.smrv.2012.03.003. |
[17] | MILLAN M J. Descending control of pain[J]. Prog Neurobiol,2002,66(6):355-474. DOI:10.1016/s0301-0082(02)00009-6. |
[18] | WHITNEY M S,SHEMERY A M,YAW A M,et al. Adult brain serotonin deficiency causes hyperactivity,circadian disruption,and elimination of siestas[J]. J Neurosci,2016,36(38):9828-9842. DOI:10.1523/JNEUROSCI.1469-16.2016. |
[19] | DENIS D,AKHTAR R,HOLDING B C,et al. Externalizing behaviors and callous-unemotional traits:different associations with sleep quality[J]. Sleep,2017,40(8). DOI:10.1093/sleep/zsx070. |
[20] | TANG N K Y,WRIGHT K J,SALKOVSKIS P M. Prevalence and correlates of clinical insomnia co-occurring with chronic back pain[J]. J Sleep Res,2007,16(1):85-95. DOI:10.1111/j.1365-2869.2007.00571.x. |
[1] | QIN Fengyin, ZHANG Qishan, LAI Jinjia, HUANG Yimin, HAN Guoyin, SUN Xinglan, WANG Fen, TAN Yibing. Current Status and Influencing Factors of the Intention to Screen for High-risk Stroke among Community Residents in Guangdong [J]. Chinese General Practice, 2023, 26(34): 4283-4289. |
[2] | HAO Aihua, ZENG Weilin, LI Guanhai, XIA Yinghua, CHEN Liang. Current Situation of the Construction of Family Doctor Team: an Investigation Based on the Perspective of General Practitioners [J]. Chinese General Practice, 2023, 26(34): 4261-4268. |
[3] | LI Dianjiang, PAN Enchun, SUN Zhongming, WEN Jinbo, WANG Miaomiao, WU Ming, SHEN Chong. The Current Status and Influencing Factors of Clinical Inertia in Type 2 Diabetes Patients in Community [J]. Chinese General Practice, 2023, 26(34): 4296-4301. |
[4] | WANG Yue, CHEN Qing, LIU Lurong. Detection Rate of Depression and Its Influencing Factors in Chinese Elderly: a Meta-analysis [J]. Chinese General Practice, 2023, 26(34): 4329-4335. |
[5] | TU Jinkang, LI Fangfang, WU Xiaoqiong, XI Chong, QI Shaohua, CHEN Jun. Effectiveness of Backward Walking Based on Anti-gravity Treadmill Training System Combined with Conventional Low Back Core Training on Patients with Non-specific Low Back Pain [J]. Chinese General Practice, 2023, 26(33): 4203-4206. |
[6] | WANG Lina, GAO Pengfei, CAO Fan, GE Ying, YAN Wei, HE Daikun. Analysis of the Prevalence and Influencing Factors of Non-alcoholic Fatty Liver Disease in Different Gender Groups [J]. Chinese General Practice, 2023, 26(33): 4143-4151. |
[7] | ZHOU Yuyu, GAO Chuan, CUI Puan, WANG Yaping, HE Zhong. Influencing Factors of Shared Decision Making between Doctors and Patients in Menopausal Hormone Therapy in Patients with Menopausal Syndrome [J]. Chinese General Practice, 2023, 26(33): 4181-4186. |
[8] | LIANG Xuan, NA Feiyang, QIN Mengyao, YANG Hui, GUO Li, GUO Qi, REN Lei, CHEN De, LIU Donghai, ZHANG Rongfang. Clinical Characteristics and Influencing Factors of Bronchial Asthma Combined with Obstructive Sleep Apnea-hypopnea Syndrome in Children [J]. Chinese General Practice, 2023, 26(33): 4225-4230. |
[9] | LI Qianqian, CHEN Xunrui, ZHANG Wenying, YUAN Haihua, ZHANG Yanjie, JIANG Bin, LIU Feng. Demand and Influencing Factors for Community Health Services during Chemotherapy of Patients with Advanced Cancer [J]. Chinese General Practice, 2023, 26(33): 4173-4180. |
[10] | ZHANG Jin, DING Zhiguo, QI Shuo, LI Ying, LI Weiqiang, ZHANG Yuanyuan, ZHOU Tong. Relationship between Serum Thyroid Hormone Levels and Prognosis during Hospitalization in Heart Failure Patients [J]. Chinese General Practice, 2023, 26(33): 4125-4129. |
[11] | GAO Dekang, WEI Shaohua, MA Xiaoming, DU Peng, XING Chungen, CAO Chun. Risk Factors for Loss of Skeletal Muscle Mass and Its Correlation with Complications after Major Hepatectomy for Liver Cancer [J]. Chinese General Practice, 2023, 26(32): 4031-4037. |
[12] | WANG Minghuan, LI Yuhong, YU Min, WANG Yougang, YU Qiaozhi, YANG Fangfang, YUAN Dehui, ZHANG Liu. Effect of Allostatic Load on Adverse Pregnancy Outcomes of Women in Late Pregnancy [J]. Chinese General Practice, 2023, 26(32): 4064-4069. |
[13] | YUAN Dehui, LI Yuhong, XIONG Min, YU Min, MA Ruiliang, YANG Fangfang, YU Qiaozhi, WANG Minghuan. Status and Influencing Factors of Allostatic Load in Pregnant Women at Different Trimesters [J]. Chinese General Practice, 2023, 26(32): 4057-4063. |
[14] | LU Guangqi, ZHUANG Minghui, ZHU Liguo, GAO Jinghua, WEI Xu, LI Luguang, YU Jie. Interpretation of Best Practices for Minimally Invasive Lumbar Spinal Stenosis Treatment 2.0 (MIST) : Consensus Guidance from the American Society of Pain and Neuroscience (ASPN) in 2022 [J]. Chinese General Practice, 2023, 26(32): 3995-4000. |
[15] | ZHANG Juan, LI Haifen, LI Xiaoman, YAO Miao, MA Huizhen, MA Qiang. Construction of Recurrence Risk Prediction Model for Diabetic Foot Ulcer on the Basis of Logistic Regression, Support Vector Machine and BP Neural Network Model [J]. Chinese General Practice, 2023, 26(32): 4013-4019. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||