Email Alert | RSS

Journal of Peking University (Health Sciences) ›› 2024, Vol. 56 ›› Issue (6): 1001-1008. doi: 10.19723/j.issn.1671-167X.2024.06.009

Previous Articles     Next Articles

Effects of overweight and obesity on symptoms, overall condition and quality of life in patients with fibromyalgia syndrome

Meijuan LONG, Yidan WANG, Shiya WU, Zihao LI, Yanting LI, Yang LI, Juan JIAO*()   

  1. Department of Rheumatology, Guang' anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
  • Received:2024-08-01 Online:2024-12-18 Published:2024-12-18
  • Contact: Juan JIAO E-mail:jiao.juan@hotmail.com
  • Supported by:
    China Academy of Chinese Medical Sciences Innovation Project Innovation Team Project(CI2021B007)

RICH HTML

   

PDF (PC)

Abstract:

Objective: To explore the effects of overweight and obesity (overweight/obesity) on symptom severity and quality of life in Chinese patients with fibromyalgia syndrome (FMS). Methods: A cross-sectional survey was used to collect general data on height, weight, gender and age of 435 FMS patients who visited the rheumatology clinic of Guang 'anmen Hospital from October 2018 to December 2021. The numbers of tender points, widespread pain index and symptom severity scale were used as diagnostic indicators of the disease. The pain visual analogue scale, Beck depression inventory, perceived stress scale (PSS), Pittsburgh sleep quality index (PSQI) and multidimensional fatigue scale were used to assess the severity of pain and negative emotions, stress perception, sleep quality, and fatigue symptoms of this disease. The revised fibromyalgia impact questionnaire, fibromyalgia symptom scale (FS) and quality of life assessment scale (36 item short-form health survey, SF-36) were used to evaluate the overall condition and quality of life of the FMS patients. At the same time, 50 healthy volunteers matched in gender and age were recruited as the control group. Covariance analysis was used to explore the effects of overweight/obesity on the FMS patients after adjusting for age and gender. Results: According to the Chinese body mass index (BMI) standard, there were 242 (59%) and 170 (41%) FMS patients in the normal weight group and overweight/obesity group, respectively, with average BMI of (21.66±1.42) kg/m2 and (26.25±1.83) kg/m2, respectively. Compared with the normal weight FMS patients, the overweight/obesity patients had higher PSS scores (P=0.010), PSQI sub-dimension sleep efficiency scores (P < 0.001) and FS scores (P=0.025), and lower SF-36 sub-dimension physical functioning scores (P=0.041). However, there were no statistical differences in the above indicators between normal weight and overweight/obesity patients in the healthy control group (P > 0.05). Conclusion: Compared with normal-weight FMS patients, overweight/obesity patients have higher levels of perceived stress, lower sleep efficiency, and more severe fibromyalgia symptoms, as well as a low quality of life characterized by decreased physiological function. It is important for overweight/obesity FMS patients to control BMI actively in order to improve sleep efficiency, psychological state, physical functioning, and the overall condition.

Key words: Fibromyalgia syndrome, Chronic pain, Weight, Weight loss

CLC Number: 

  • R593.2

Table 1

BMI standards"

Group Chinese BMI Asia BMI WHO BMI
Underweight/(kg/m2) < 18.5 < 18.5 < 18.5
Normal weight/(kg/m2) 18.5-23.9 18.5-22.9 18.5-24.9
Overweight/(kg/m2) 24.0-27.9 23.0-24.9 25.0-29.9
Obesity/(kg/m2) ≥28.0 ≥25.0 ≥30.0

Table 2

Distribution of Chinese, Asian, and WHO BMI standards in FMS patients and healthy volunteers"

Chinese BMI Asia BMI WHO BMI χ2 P P
China vs. Asia China vs.WHO Asia vs.WHO
Fibromyalgia (n=435) 167.609 ＜0.001 ＜0.001 ＜0.001 ＜0.001
   Underweight 23(5) 23(5) 23(5)
   Normal weight 242(56) 188(43) 296(68)
   Overweight 144(33) 108(25) 109(25)
   Obesity 26(6) 116(27) 7(2)
Health volunteers (n=50) 20.940 ＜0.001 0.037 0.048 ＜0.001
   Underweight 0(0) 0(0) 0(0)
   Normal weight 28(56) 24(48) 35(70)
   Overweight 17(34) 11(22) 15(30)
   Obesity 5(10) 15(30) 0(0)
   χ2 3.865 3.209 0.722
   P 0.262 0.361 0.354

Table 3

Comparison of demographic and disease indicators between FMS patients and healthy volunteers"

Items Fibromyalgia syndrome (n=412) Health volunteers (n=50) t/Z/χ2 P
Women, n(%) 352 (85) 4 3(86) 0.011 0.915
Age/years 50.00 (40.00，58.00) 49.5 (35.00，58.50) -0.474 0.635
BMI/(kg/m2) 23.34 (21.45，25.39) 23.08 (21.47，25.81) -0.376 0.707
TPC score 12.00 (9.50，15.00) 0.00 (0.00，3.25) -10.900 < 0.001
WPI score 11.00 (7.00，15.00) 0.00 (0.00，1.00) -11.473 < 0.001
SSS score 7.00 (5.00，9.00) 1.00 (0.00，2.00) -10.938 < 0.001
Pain VAS score 6.00 (4.00，7.00) 0.00 (0.00，1.00) -11.464 < 0.001
BDI score 6.00 (3.00，12.00) 0.50 (0.00，2.25) -8.505 < 0.001
PSS score 27.00 (21.00，32.00) 26.50 (21.75，29.00) -1.160 0.246
PSQI total score 12.00 (9.00，14.00) 3.00 (2.00，6.00) -9.776 < 0.001
MFI-20 total score 68.00 (56.25，79.00) 35.5 (29.25，42.25) -10.799 < 0.001
FIQR total score 31.17 (19.00，48.42) 2.50 (0.75，6.88) -10.661 < 0.001
   Function 3.67 (0.00，10.33) 0.00 (0.00，0.00) -8.769 < 0.001
   Overall impact 5.00 (0.00, 10.00) 0.00 (0.00, 0.00) -8.677 < 0.001
   Symptoms 23.73±8.92 4.56±6.24 18.751 < 0.001
FS score 17.00 (13.00，22.00) 2.00 (0.00，0.25) -11.364 < 0.001
SF-36 score
   PCS 36.75 (26.50，53.25) 87.50 (74.63，91.75) -10.539 < 0.001
   MCS 46.92 (31.97，68.44) 86.63 (63.26，89.81) -8.823 < 0.001

Table 4

Comparison of core symptom indicators between normal weight subjects and overweight and obese subjects"

Items Fibromyalgia syndrome(n=412) Health volunteers(n=50)
BMI＜24 kg/m2(n=242) BMI≥24 kg/m2(n=170) P BMI＜24 kg/m2(n=28) BMI≥24 kg/m2(n=22) P
Pain VAS score 6.00 (5.00，7.00) 6.00 (4.75，7.00) 0.263 0.00 (0.00，0.88) 0.00 (0.00，1.00) 0.692
BDI score 7.00 (4.00，13.00) 6.50 (4.00，12.25) 0.377 0.50 (0.00，2.00) 0.50 (0.00，3.00) 0.206
PSS score 26.00 (20.00，31.00) 27.00 (22.00，33.00) 0.010 27.00 (22.50，29.00) 25.00 (21.00，28.25) 0.581
PSQI total score 12.00 (10.00，15.00) 12.00 (9.00，15.00) 0.774 3.00 (1.00，5.75) 3.00 (2.00，7.25) 0.647
   Subjective sleep quality 2.00 (1.00，2.50) 2.00 (1.00，2.00) 0.134 0.00 (0.00，1.00) 1.00 (0.00，1.00) 0.636
   Sleep latency 2.00 (1.00，3.00) 2.00 (1.00，3.00) 0.087 1.00 (0.00，1.00) 0.50 (0.00，1.00) 0.775
   Sleep duration 1.00 (1.00，2.00) 1.00 (1.00，2.00) 0.966 0.00 (0.00，1.00) 0.00 (0.00，1.00) 0.882
   Habitual sleep efficiency 2.00 (2.00，2.00) 3.00 (2.00，3.00) ＜0.001 0.00 (0.00，0.00) 0.00 (0.00，0.25) 0.652
   Sleep disturbances 2.00 (1.00，2.00) 2.00 (1.00，2.00) 0.948 1.00 (0.00，1.00) 1.00 (1.00，1.25) 0.206
   Use of sleep medication 0.00 (0.00，0.00) 0.00 (0.00，0.00) 0.807 0.00 (0.00，0.00) 0.00 (0.00，0.00) 1.000
   Daytime dysfunction 3.00 (2.00，3.00) 3.00 (2.00，3.00) 0.118 1.00 (0.00，1.75) 1.00 (0.00，1.25) 0.854
MFI-20 total score 72.00 (63.00，80.00) 71.00 (63.00，80.00) 0.976 33.21±7.73 39.05±9.19 0.060

Table 5

Comparison of overall disease status and quality of life indicators between normal weight and overweight and obese patients with FMS and healthy volunteers"

Items Fibromyalgia syndrome(n=412) Health volunteers(n=50)
BMI＜24 kg/m2(n=242) BMI≥24 kg/m2(n=170) P BMI＜24 kg/m2(n=28) BMI≥24 kg/m2(n=22) P
FIQR total score 34.25 (24.38，50.17) 37.00 (24.33，52.33) 0.201 2.00 (0.00，5.00) 4.42 (1.00，10.00) 0.257
   Function 5.00 (1.00，10.33) 6.33 (1.67，11.83) 0.053 0.00 (0.00，0.00) 0.00 (0.00，0.00) 0.887
   Overall impact 6.50 (2.00，10.25) 7.00 (3.00，12.00) 0.309 0.00 (0.00，0.00) 0.00 (0.00，0.25) 0.435
   Symptoms 23.40±8.60 24.18±9.36 0.367 1.75 (0.00，4.75) 3.00 (0.88，9.25) 0.255
FS score 18.00 (15.00，22.00) 19.50 (15.00，24.00) 0.025 1.00 (0.00，2.00) 2.00 (1.00，3.50) 0.112
SF-36 score
   PF 65.00 (45.00，80.00) 55.00 (40.00，80.00) 0.041 100.00 (95.00，100.00) 95.00 (85.00，100.00) 0.164
   RP 0.00 (0.00，25.00) 0.00 (0.00，25.00) 0.061 100.00 (81.25，100.00) 100.00 (37.50，100.00) 0.792
   BP 41.00 (31.00，52.00) 41.00 (22.00，51.00) 0.175 90.00 (80.00，90.00) 84.00 (74.00，90.00) 0.502
   GH 30.00 (20.00，42.00) 30.00 (18.75，45.00) 0.674 74.79±19.94 62.14±17.40 0.098
   VT 40.00 (30.00，50.00) 40.00 (30.00，55.00) 0.344 75.00 (65.00，88.75) 70.00 (58.75，76.25) 0.077
   SF 62.5 (37.50，75.00) 62.50 (37.50，75.00) 0.867 100.00 (87.5，100.00) 100.00 (75.00，100.00) 0.080
   RE 33.33 (0.00，100.00) 33.00 (0.00，100.00) 0.566 100.00 (100，100.00) 100.00 (25.00，100.00) 0.243
   MH 44.00 (29.00，56.00) 44.00 (27.00，56.00) 0.381 80.00 (65.00，87.00) 78.00 (67.00，84.00) 0.542
   PCS 34.00 (27.75，47.25) 32.75 (21.75，44.25) 0.057 88.75 (84.19，94.81) 85.88 (68.94，89.50) 0.329
   MCS 43.69 (31.25，65.69) 42.63 (31.06，64.41) 0.507 87.25 (74.72，91.00) 84.38 (53.55，89.50) 0.114
1 Siracusa R , Paola RD , Cuzzocrea S , et al. Fibromyalgia: Pathogenesis, mechanisms, diagnosis and treatment options update[J]. Int J Mol Sci, 2021, 22 (8): 3891.
doi: 10.3390/ijms22083891
2 Sarzi-Puttini P , Giorgi V , Marotto D , et al. Fibromyalgia: An update on clinical characteristics, aetiopathogenesis and treatment[J]. Nat Rev Rheumatol, 2020, 16 (11): 645- 660.
doi: 10.1038/s41584-020-00506-w
3 张哲浩. 纤维肌痛综合征临床药物治疗研究进展[J]. 临床药物治疗杂志, 2018, 16 (5): 26- 30.
4 World Health Organization, 2024. Obesity and overweight. World Health Organization. URL[EB/OL]. (2024-03-01)[2024-07-01]. https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight# .
5 Chen K , Shen Z , Gu W , et al. Prevalence of obesity and asso-ciated complications in China: A cross-sectional, real-world study in 15.8 million adults[J]. Diabetes Obes Metab, 2023, 25 (11): 3390- 3399.
doi: 10.1111/dom.15238
6 Institute of Medicine of the National Academes . Board on Health Sciences Policy, Committee on Advancing Pain Research, Care and Education. Relieving pain in America: A blueprint for transforming prevention, care, education, and research[M]. Washingten D.C.: National Academies Press, 2011: 62- 63.
7 Mork PJ , Vasseljen O , Nilsen TI . Association between physical exercise, body mass index, and risk of fibromyalgia: Longitudinal data from the Norwegian Nord-Trøndelag Health Study[J]. Arthritis Care Res (Hoboken), 2010, 62 (5): 611- 617.
doi: 10.1002/acr.20118
8 中华中医药学会风湿病分会, 海峡两岸医药卫生交流协会风湿免疫病学专业委员会纤维肌痛综合征中西医研究学组, 首都中西医结合风湿免疫病研究所. 中国纤维肌痛综合征诊疗指南[J]. 中华内科杂志, 2023, 62 (2): 129- 146.
9 Atzeni F , Alciati A , Salaffi F , et al. The association between body mass index and fibromyalgia severity: Data from a cross-sectional survey of 2 339 patients[J]. Rheumatol Adv Pract, 2021, 5 (1): rkab015.
doi: 10.1093/rap/rkab015
10 Koçyiǧit BF , Okyay RA . The relationship between body mass index and pain, disease activity, depression and anxiety in women with fibromyalgia[J]. Peer J, 2018, 6, e4917.
doi: 10.7717/peerj.4917
11 Senna MK , Ahmad HS , Fathi W . Depression in obese patients with primary fibromyalgia: The mediating role of poor sleep and eating disorder features[J]. Clin Rheumatol, 2013, 32 (3): 369- 375.
doi: 10.1007/s10067-012-2132-z
12 Kim CH , Luedtke CA , Vincent A , et al. Association of body mass index with symptom severity and quality of life in patients with fibromyalgia[J]. Arthritis Care Res (Hoboken), 2012, 64 (2): 222- 228.
doi: 10.1002/acr.20653
13 Kang JH , Park DJ , Kim SH , et al. Severity of fibromyalgia symptoms is associated with socioeconomic status and not obesity in Korean patients[J]. Clin Exp Rheumatol, 2016, 34 (2 Suppl 96): S83- S88.
14 Correa-Rodríguez M , Mansouri-Yachou JE , Casas-Barragán A , et al. The association of body mass index and body composition with pain, disease activity, fatigue, sleep and anxiety in women with fibromyalgia[J]. Nutrients, 2019, 11 (5): 1193.
doi: 10.3390/nu11051193
15 赵纬, 何建群, 郑艳峰. 肥胖对纤维肌痛综合征妇女症状及生活质量的影响[J]. 中国妇幼保健, 2021, 36 (10): 2239- 2241.
16 Wolfe F , Smythe HA , Yunus MB , et al. The American College of Rheumatology 1990 criteria for the classification of fibromyalgia. Report of the multicenter criteria committee[J]. Arthritis Rheum, 1990, 33 (2): 160- 172.
doi: 10.1002/art.1780330203
17 Wolfe F , Clauw DJ , Fitzcharles MA , et al. The American College of Rheumatology preliminary diagnostic criteria for fibromyalgia and measurement of symptom severity[J]. Arthritis Care Res (Hoboken), 2010, 62 (5): 600- 610.
doi: 10.1002/acr.20140
18 Wolfe F , Clauw DJ , Fitzcharles MA , et al. Fibromyalgia criteria and severity scales for clinical and epidemiological studies: A modification of the ACR preliminary diagnostic criteria for fibromyalgia[J]. J Rheumatol, 2011, 38 (6): 1113- 1122.
doi: 10.3899/jrheum.100594
19 Jiao J , Cheng ZY , Xiao YY , et al. Validation of the 2011 and 2016 American College of Rheumatology diagnostic criteria for fibromyalgia in a Chinese population[J]. Ann Med, 2023, 55 (2): 2249921.
doi: 10.1080/07853890.2023.2249921
20 Huskisson EC . Measurement of pain[J]. Lancet, 1974, 304 (7889): 1127- 1131.
doi: 10.1016/S0140-6736(74)90884-8
21 郑洪波, 郑延平. 抑郁自评问卷(BDI)在抑郁患者中的应用[J]. 中国神经精神疾病杂志, 1987, 13 (4): 236- 237.
22 王振, 苑成梅, 黄佳, 等. 贝克抑郁量表第2版中文版在抑郁症患者中的信效度[J]. 中国心理卫生杂志, 2011, 25 (6): 476- 480.
23 Huang F , Wang H , Wang Z , et al. Psychometric properties of the perceived stress scale in a community sample of Chinese[J]. BMC Psychiatry, 2020, 20 (1): 130.
doi: 10.1186/s12888-020-02520-4
24 刘贤臣, 唐茂芹, 胡蕾, 等. 匹兹堡睡眠质量指数的信度和效度研究[J]. 中华精神科杂志, 1996, (2): 103- 107.
25 Smets EM , Garssen B , Bonke B , et al. The multidimensional fatigue inventory (MFI) psychometric qualities of an instrument to assess fatigue[J]. J Psychosom Res, 1995, 39 (3): 315- 325.
doi: 10.1016/0022-3999(94)00125-O
26 Chuang LL , Chuang YF , Hsu MJ , et al. Validity and reliability of the traditional Chinese version of the multidimensional fatigue inventory in general population[J]. PLoS One, 2018, 13 (5): e0189850.
doi: 10.1371/journal.pone.0189850
27 Li YT , Jiang Q , Jia Y , et al. A Chinese version of the revised fibromyalgia impact questionnaire: A validation study[J]. Int J Rheum Dis, 2023, 26 (2): 242- 249.
doi: 10.1111/1756-185X.14472
28 李鲁, 王红妹, 沈毅. SF-36健康调查量表中文版的研制及其性能测试[J]. 中华预防医学杂志, 2002, (2): 38- 42.
29 Brazier JE , Harper R , Jones NM , et al. Validating the SF-36 health survey questionnaire: New outcome measure for primary care[J]. BMJ, 1992, 305 (6846): 160- 164.
doi: 10.1136/bmj.305.6846.160
30 Aparicio VA , Ortega FB , Carbonell-Baeza A , et al. Fibromyal-gia' s key symptoms in normal-weight, overweight, and obese female patients[J]. Pain Manag Nurs, 2013, 14 (4): 268- 276.
doi: 10.1016/j.pmn.2011.06.002
31 Okifuji A , Donaldson GW , Barck L , et al. Relationship between fibromyalgia and obesity in pain, function, mood, and sleep[J]. J Pain, 2010, 11 (12): 1329- 1337.
doi: 10.1016/j.jpain.2010.03.006
32 Gota CE , Kaouk S , Wilke WS . Fibromyalgia and obesity: The association between body mass index and disability, depression, history of abuse, medications, and comorbidities[J]. J Clin Rheumatol, 2015, 21 (6): 289- 295.
doi: 10.1097/RHU.0000000000000278
33 Okifuji A , Bradshaw DH , Olson C . Evaluating obesity in fibro-myalgia: Neuroendocrine biomarkers, symptoms, and functions[J]. Clin Rheumatol, 2009, 28 (4): 475- 478.
doi: 10.1007/s10067-009-1094-2
34 Neumann L , Lerner E , Glazer Y , et al. A cross-sectional study of the relationship between body mass index and clinical characteristics, tenderness measures, quality of life, and physical functioning in fibromyalgia patients[J]. Clin Rheumatol, 2008, 27 (12): 1543- 1547.
doi: 10.1007/s10067-008-0966-1
35 Çakit MO , Çakit BD , Genç H , et al. The Association of skinfold anthropometric measures, body composition and disease severity in obese and non-obese fibromyalgia patients: A cross-sectional study[J]. Arch Rheumatol, 2018, 33 (1): 59- 65.
doi: 10.5606/ArchRheumatol.2018.6180
36 Cerón Lorente L , García Ríos MC , Navarro Ledesma S , et al. Functional status and body mass index in postmenopausal women with fibromyalgia: A case-control study[J]. Int J Environ Res Public Health, 2019, 16 (22): 4540.
doi: 10.3390/ijerph16224540
37 Li S , Zhao JH , Luan J , et al. Cumulative effects and predictive value of common obesity-susceptibility variants identified by genome-wide association studies[J]. Am J Clin Nutr, 2010, 91 (1): 184- 190.
doi: 10.3945/ajcn.2009.28403
38 Jackson SE , Llewellyn CH , Smith L . The obesity epidemic-nature via nurture: A narrative review of high-income countries[J]. Sage Open Med, 2020, 8, 2050312120918265.
doi: 10.1177/2050312120918265
39 Wei L , Wu B . Racial and ethnic differences in obesity and overweight as predictors of the onset of functional impairment[J]. J Am Geriatr Soc, 2014, 62 (1): 61- 70.
doi: 10.1111/jgs.12605
40 Apovian CM . Obesity: Definition, comorbidities, causes, and burden[J]. Am J Manag Care, 2016, 22 (Suppl 7): S176- 185.
41 de Araújo TA , Mota MC , Crispim CA . Obesity and sleepiness in women with fibromyalgia[J]. Rheumatol Int, 2015, 35 (2): 281- 287.
doi: 10.1007/s00296-014-3091-2
42 Isasi CR , Parrinello CM , Jung MM , et al. Psychosocial stress is associated with obesity and diet quality in Hispanic/Latino adults[J]. Ann Epidemiol, 2015, 25 (2): 84- 89.
doi: 10.1016/j.annepidem.2014.11.002
43 Beiner E , Brenner Miguel S , Friederich HC , et al. Elevated high sensitive C-reactive protein in fibromyalgia[J]. Front Psychiatry, 2023, 14, 1237518.
44 Ursini F , Naty S , Grembiale RD . Fibromyalgia and obesity: The hidden link[J]. Rheumatol Int, 2011, 31 (11): 1403- 1408.
45 D'Onghia M , Ciaffi J , Lisi L , et al. Fibromyalgia and obesity: A comprehensive systematic review and meta-analysis[J]. Semin Arthritis Rheum, 2021, 51 (2): 409- 424.
46 Prillaman M . Why BMI is flawed and how to redefine obesity[J]. Nature, 2023, 622 (7982): 232- 233.
47 Senna MK , Sallam RA , Ashour HS , et al. Effect of weight reduction on the quality of life in obese patients with fibromyalgia syndrome: A randomized controlled trial[J]. Clin Rheumatol, 2012, 31 (11): 1591- 1597.
[1] Jing CHEN,Rui SHAN,Wucai XIAO,Xiaorui ZHANG,Zheng LIU. Association between self-control and co-occurrence of depressive symptoms and overweight or obesity during adolescence and early adulthood: A ten-year prospective cohort study based on national surveys [J]. Journal of Peking University (Health Sciences), 2024, 56(3): 397-402.
[2] Zhihan YUE,Na HAN,Zheng BAO,Jinlang LYU,Tianyi ZHOU,Yuelong JI,Hui WANG,Jue LIU,Haijun WANG. A prospective cohort study of association between early childhood body mass index trajectories and the risk of overweight [J]. Journal of Peking University (Health Sciences), 2024, 56(3): 390-396.
[3] Yifan WU,Yingxiang YU,Lan XIE,Zhida ZHANG,Cuiqing CHANG. Characteristics of resting energy expenditure and evaluation of prediction formulas in young men with different body mass indexes [J]. Journal of Peking University (Health Sciences), 2024, 56(2): 247-252.
[4] Hui-li LIU,Yan-han LV,Xiao-xiao WANG,Min LI. Factors influencing the chronic post-surgical pain after laparoscopic surgery for elderly patients with urinary tract tumors [J]. Journal of Peking University (Health Sciences), 2023, 55(5): 851-856.
[5] Jia-jia DANG,Shan CAI,Pan-liang ZHONG,Ya-qi WANG,Yun-fei LIU,Di SHI,Zi-yue CHEN,Yi-hang ZHANG,Pei-jin HU,Jing LI,Jun MA,Yi SONG. Association of outdoor artificial light at night exposure with overweight and obesity among children and adolescents aged 9 to 18 years in China [J]. Journal of Peking University (Health Sciences), 2023, 55(3): 421-428.
[6] REN Guo-yong,WU Xue-mei, ,LI Jie-yu,SUN Wei-ping,HUANG Yi-ning. Susceptibility vessel sign in subacute stroke patients with large vessel occlusion [J]. Journal of Peking University (Health Sciences), 2021, 53(6): 1133-1138.
[7] WANG Yi-ping,CAI Zhi-gang,PENG Xin,ZHANG Jie,SUN Zhi-peng,LI Wei,ZHANG Lei,YU Guang-yan. Measurement of the weight and volume of submandibular gland in vitro [J]. Journal of Peking University (Health Sciences), 2021, 53(1): 126-132.
[8] DONG Yan-hui, SONG Yi, DONG Bin, ZOU Zhi-yong, WANG Zheng-he, YANG Zhao-geng, WANG Xi-jie, LI Yan-hui, MA Jun. Association between the blood pressure status and nutritional status among Chinese students aged 7-18 years in 2014： based on the national blood pressure reference for Chinese children and adolescents [J]. Journal of Peking University(Health Sciences), 2018, 50(3): 422-428.
[9] CHEN Na, WU Wei, DING Rui-ying, HAN Hao-lun, WANG Hong-nan, LI Bao-wei， WANG Gang. Morphological changes on cochlear hair cells of rats in simulated weightlessness and inboard noise [J]. Journal of Peking University(Health Sciences), 2017, 49(3): 501-500.
[10] CHENG Lan, LI Qin, SONG Yi, MA Jun, WANG Hai-Jun. Association of physical activities, sedentary behaviors with overweight/obesity in 9-11 year-old Chinese primary school students [J]. Journal of Peking University(Health Sciences), 2016, 48(3): 436-441.
[11] WANG Li-fang, ZHOU Hong, ZHANG Yan, WANG Yan. Relationship between pre-pregnancy body mass index and preterm birth [J]. Journal of Peking University(Health Sciences), 2016, 48(3): 414-417.
[12] WU Yan, ZHONG Xiao-yun, JIANG Jing, GONG Hua. Prospective and controlled study on effect of fortified human milk feeding on infants with extremely and very low birth weight during hospital stay [J]. Journal of Peking University(Health Sciences), 2016, 48(1): 143-148.
[13] YAO Yi-Sang, GAO Ling, LI Yu-Ling, MA Shao-Li, WU Zi-Mei, TAN Ning-Zhi, WU Jian-Yong, NI Lu-Qun, ZHU Jia-Shi. Amplicon density-weighted algorithms for analyzing dissimilarity and dynamic alterations of RAPD polymorphisms of Cordyceps sinensis [J]. Journal of Peking University(Health Sciences), 2014, 46(4): 618-628.
[14] XIE Gao-Qiang-1△, YU Hui-2, CHEN Jing-Zhou-2, ZHAO Lian-Cheng-3△, REN Fu-Xiu-4, SHI Ping-4, WU Yang-Feng-1, 5 , 6 . Relationship of genetic variants and cardiovascular risk factors with interleukin-6 and interleukin-10 secreted by monocytes [J]. Journal of Peking University(Health Sciences), 2014, 46(4): 589-595.
[15] XU Hao, WU Zheng-Hao, XU Ya-Jun. Effects of quercetin in pregnant and lactation period on weight and expression of insulin-like growth factors-1 mRNA of obese female rats offspring [J]. Journal of Peking University(Health Sciences), 2014, 46(3): 347-354.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright © Journal of Peking University (Health Sciences), All Rights Reserved.
Powered by Beijing Magtech Co. Ltd