Skip to main content
Scientific Reports logoLink to Scientific Reports
. 2022 Jul 22;12:12566. doi: 10.1038/s41598-022-16927-4

Factors associated with Chinese herbal medicine use among middle-aged and older women with arthritis: evidence from China

Lu Yang 1,, David Sibbritt 2
PMCID: PMC9307752  PMID: 35869253

Abstract

Chinese herbal medicine (CHM) has been used for arthritis in China and elsewhere across the world. However, knowledge about the prevalence and profile of middle-aged and older women who used CHM for arthritis in China is limited. This study aims to identify potentially important insights into the factors associated with CHM use amongst middle-aged and older women with arthritis in China. Data were drawn from the China Health and Retirement Longitudinal Study (CHARLS), a population-based survey of Chinese adults aged 45 years or older, comprising 10,833 Chinese women who completed a questionnaire in 2015. Stepwise multiple logistic regression modeling was conducted to determine the key factors (demographic, health condition, and health services use) predicting the use of CHM for the treatment of arthritis. Results revealed that 17.2% of women with arthritis were taking CHM for their arthritic symptoms. Women with arthritis who used CHM were more likely to experience finger pain (OR = 1.70), had difficulty in stooping, kneeling, crouching (OR = 1.40), visited a Traditional Chinese hospital (OR = 2.22), consulted massage therapists (OR = 2.06) and/or had experienced a fall (OR = 1.41). The prevalence of CHM use is high amongst middle-aged and older Chinese women with arthritis. Given the high risk of functional disability and impaired mental health, further research is needed to explore the potential health benefits of CHM for women with arthritis in order to help facilitate the efficacious and safe use of CHM alongside conventional medical care.

Subject terms: Rheumatic diseases, Health services

Introduction

Arthritis is one of the leading causes of pain, disability, and health services utilization in many countries1. Arthritis refers to many diseases that can cause joint pain or stiffness, damage to the structure of a joint, or loss of joint function2. The most common types of arthritis are osteoarthritis and rheumatoid arthritis2. There are over 100 million people suffering from arthritis in China,which is expected to increase rapidly with the ageing population3. It was reported that the overall prevalence of arthritis is 31.4% of Chinese adults aged over 45 years4. Arthritis is considered to be the major cause of work disability, leading to a decline in quality of life5 and contributes to substantial healthcare costs2.

Chinese herbal medicine (CHM) has been attracting global attention over the past 30 years6,7. CHM, a key modality of Traditional Chinese medicine (TCM), has been in existence in China for over 2000 years and has been studied for many medical problems, including stroke8, mental disorders9, respiratory diseases10 and arthritis11. Specifically, CHM has been shown to have a positive effect on relieving pain and reducing adverse reactions for osteoarthritis (OA) patients12. Further, CHM patches combined with Western medicine were suggested to be more effective than Western medicine alone for pain relief of patients with acute gouty arthritis13. Furthermore, by adding CHM such as Chuan-niu-xi, Jie-geng, and San-qi into conventional therapy (e.g. methotrexate, leflunomide, calycosin, an O-methylated isoflavone), it led to not only a lower risk of depression but also less incidents of adverse drug reactions for rheumatoid arthritis (RA) patients14,15.

Internationally, studies have reported various influencing factors to be associated with the choice of using CHM for arthritis treatment, such as gender, age, education, and health status. Women with arthritis had a higher probability of using CHM16. Also, women who used CHM for their arthritis are more likely to have a longer duration of arthritis, have consulted another complementary medicine practitioner, live in a rural area, and undertake more exercise16,17. However, influencing factors associated with the choice of using CHM of the patients have not been sufficiently researched. Given the contemporary popularity and significance of CHM use in China and women are more susceptible to arthritis18,19, it is vital to identify factors associated with CHM use amongst Chinese women with arthritis to help inform safe, effective and coordinated care. Therefore, in response to this research gap, the aim of this study is to examine the prevalence of CHM usage amongst women with arthritis and the factors associated with the choice of using CHM treatment among those women with arthritis. This research is the first large-scale, nationally representative study of CHM usage in middle-aged and older women with arthritis in China20.

Methods

Data source and analytical sample

This study is a secondary analysis of the deidentified China Health and Retirement Longitudinal Study (CHARLS) data. CHARLS is conducted by the National School of Development of Peking University since 2011, which is recognized as a nationally representative survey of the middle-aged and elderly population of China21. Aimed at investigating multiple factors associated with the rapid aging of the population in China, residents aged 45 or older and their spouses were interviewed, with thorough assessments of social, economic, and health status. The baseline survey involved 17,708 respondents who were recruited through multi-stage probability sampling. They have been followed every 2 years through a face-to-face computer-assisted personal interview (CAPI).

This study analyzed data from the most recent follow-up questionnaire, conducted in 2015. A detailed description of CHARLS was published previously21. Women aged 45 years and older who reported having been diagnosed with arthritis were selected for this research. The original CHARLS was approved by the Ethical Review Committee of Peking University, all methods were performed in accordance with relevant guidelines and regulations, and all participants signed informed consent at the time of participation.

Survey instrument

There were 20,967 subjects participated in the CHARLS 2015 follow-up questionnaire, comprising 10,833 women. The CHARLS questionnaire includes modules such as demographics, health status and functioning, health care and insurance, retirement and pension, and community level information, etc. Since this research is interested in exploring the influencing factors associated with CHM use amongst women with arthritis, the subsample of men was excluded.

Sociodemographic characteristics

Participants were asked about a number of demographic measures, including age, area of residence (urban or non-urban), marital status (married/de facto or separated/divorced/widowed/never married), and health insurance status (yes or no). Participants were also asked about their lifestyle and health behavior factors, including smoking status and alcohol use.

Health status

Participants were asked which parts of the body they were currently feeling pain, such as the shoulder, arm, wrist, finger, back, knee, and ankle. Furthermore, participants were asked whether they had difficulty walking, stooping, or reaching above shoulder level. Participants were also asked whether they had fallen down before. Information about their self-rated health status (good, fair, poor) was also asked. Moreover, participants with arthritis were asked to report the time since arthritis diagnosis.

Health services use

Participants were asked about their visits to a range of medical facilities they had visited in the previous 4 weeks for outpatient treatment, such as Western Medicine hospitals, specialized hospitals and Chinese medicine hospitals. In addition, participants were asked whether they had used self-treatment methods during the past month, including self-purchased over-the-counter Western medicines, vitamins/supplements and consultatations with a massage therapist.

Outcome measures

Participants were asked to report whether they were currently taking Chinese herbal medicine to treat arthritis, with a yes or no response.

Statistical analysis

The sociodemographic, health status, and health services use characteristics of CHM users and non-users were compared using chi-squared tests and Fishers Exact tests, where appropriate. Logistic regression modelling, which inititally included all variables that had a bivariate p < 0.2, was conducted using a backward stepwise method, to determine the most parsimonious model for predicting the use of CHM amongst women with arthritis. The model-building process utilized the likelihood ratio test to compare competing models. Statistical significance was set at p < 0.05. All statistical analyses were undertaken using the statistical program Stata (StataCorp LP, College Station, Texas, USA).

Results

There were 651 (17.2%) out of 3788 women with arthritis who used CHM to treat their arthritis. The average number of years since arthritis diagnosis for women who used CHM and who did not use CHM was 11.8 (SD = 9.5), and 12.7 (SD = 9.6), respectively. Table 1 shows the bivariate comparison of sociodemographic characteristics between women with arthritis who used CHM and those with arthritis who did not use CHM. The only statistically significant difference between CHM users and non-users was observed for the area of residence (p = 0.013), where CHM users were more likely to reside in a rural area.

Table 1.

Associations between CHM use and demographic characteristics, by Chinese women with arthritis.

Demographic characteristics CHM use
No (n = 3137) Yes (n = 651) p-value
n (%) n (%)
Area of residence Urban 630 (20.5) 103 (16.2) 0.013
Non-urban 2446 (79.5) 533 (83.8)
Marital status Married/de facto 2499 (79.7) 501 (77.0) 0.122
Separated/divorced/widowed/never married 638 (20.3) 150 (23.0)
Insurance status No 293 (9.3) 75 (11.5) 0.087
Yes 2844 (90.7) 576 (88.5)
Smoking status No 2812 (89.6) 586 (90.0) 0.774
Yes 325 (10.4) 65 (10.0)
Alcohol status Non-drinker 2656 (84.8) 545 (83.7) 0.374
Rarely 215 (6.9) 41 (6.3)
Often 262 (8.3) 65 (10.0)
Mean (SD) Mean (SD)
Age 62.7 (9.6) 62.0 (9.3) 0.103

Table 2 shows the associations between health status and the use of CHM for arthritis. A statistically significant association was observed between self-rated general health status (p < 0.001), and pain of the shoulder (p < 0.001), arm (p < 0.001), wrist (p < 0.001), finger (p < 0.001), back (p < 0.001), waist (p < 0.001), buttocks (p < 0.001), leg (p < 0.001), knee (p < 0.001), ankle (p < 0.001), toe and neck (p < 0.001). In all instances, those women with the respective pain were more likely to use CHM when compared to women without the pain. In addition, women who used CHM for their arthritis were also more likely to have difficulties in running 1 km (p < 0.001), walking 1 km (p = 0.004), stooping/kneeling/crouching (p < 0.001), and reaching or extending arms above shoulder level (p < 0.001) when compared with women who did not use CHM. Further, women who used CHM for their arthritis were more likely to have experienced having a fall (p < 0.001).

Table 2.

Associations between CHM use and health status, by Chinese women with arthritis.

Health status CHM use
No (n = 3137) Yes (n = 651) p-value
n (%) n (%)
General health status Good 419 (14.1) 47 (7.5)  < 0.001
Fair 1450 (48.7) 266 (42.7)
Poor 1108 (37.2) 310 (49.8)
Shoulder pain No 2306 (73.5) 391 (60.1)  < 0.001
Yes 831 (26.5) 260 (39.9)
Arm pain No 2479 (79.0) 430 (66.1)  < 0.001
Yes 658 (21.0) 221 (33.9)
Wrist pain No 2616 (83.4) 457 (70.2)  < 0.001
Yes 521 (16.6) 194 (29.8)
Finger pain No 2562 (81.7) 441 (67.7)  < 0.001
Yes 575 (18.3) 210 (32.3)
Back pain No 2471 (78.8) 429 (65.9)  < 0.001
Yes 666 (21.2) 222 (34.1)
Waist pain No 2083 (66.4) 325 (49.9)  < 0.001
Yes 1054 (33.6) 326 (50.1)
Buttocks pain No 2760 (88.0) 517 (79.4)  < 0.001
Yes 377 (12.0) 134 (20.6)
Leg pain No 2281 (72.7) 368 (56.5)  < 0.001
Yes 856 (27.3) 283 (43.5)
Knee pain No 2173 (69.3) 348 (53.5)  < 0.001
Yes 964 (30.7) 303 (46.5)
Ankle pain No 2630 (83.8) 474 (72.8)  < 0.001
Yes 507 (16.2) 177 (27.2)
Toe pain No 2778 (88.6) 526 (80.8)  < 0.001
Yes 359 (11.4) 125 (19.2)
Neck pain No 2580 (82.2) 462 (71.0)  < 0.001
Yes 557 (17.8) 189 (29.0)
Difficulty in walking 1 km No 1312 (58.9) 262 (51.9) 0.004
Yes 915 (41.1) 243 (48.1)
Difficulty in stooping, kneeling, crouching No 1516 (48.5) 231 (35.5)  < 0.001
Yes 1609 (51.5) 419 (61.5)
Difficulty with reaching No 2570 (82.3) 486 (74.6)  < 0.001
Yes 554 (17.7) 165 (25.4)
Fallen down No 2394 (76.4) 429 (66.0)  < 0.001
Yes 741 (23.6) 221 (34.0)
Mean (SD) Mean (SD)
Arthritis time (years since diagnosis) 11.79 (9.5) 12.73 (9.6) 0.059

The associations between women’s use of health services and their use of CHM for arthritis are presented in Table 3. CHM users were more likely to visit a specialized hospital (p = 0.013) and/or a Chinese medicine hospital (p < 0.001). In addition, CHM users were more likely to self-purchase over-the-counter Western medicine medications (p = 0.117) and/or self-purchase vitamins/supplements (p = 0.001), when compared with CHM non-users. Further, women who used CHM were more likely to visit massage therapists (p < 0.001) for their arthritis, compared with those arthritis women who did not use CHM.

Table 3.

Associations between CHM use and health services use, by Chinese women with arthritis.

Health services choices CHM use
No (n = 3137) Yes (n = 651) p-value
n (%) n (%)
Western medicine hospital No 2889 (92.1) 593 (91.1) 0.392
Yes 248 (7.9) 58 (8.9)
Specialized hospital No 3109 (99.1) 638 (98.0) 0.013
Yes 28 (0.9) 13 (2.0)
Chinese medicine hospital No 3088 (98.4) 625 (96.0)  < 0.001
Yes 49 (1.6) 26 (4.0)
Self-purchased over-the-counter western medicine medications No 1882 (60.0) 369 (56.7) 0.117
Yes 1255 (40.0) 282 (43.3)
Self-purchased vitamins/supplements No 2838 (90.5) 561 (86.2) 0.001
Yes 299 (9.5) 90 (13.8)
Massage therapist No 2958 (94.3) 560 (86.0)  < 0.001
Yes 179 (5.7) 91 (14.0)

The statistically significant predictors of CHM use for women with arthritis are presented in Table 4. The Hosmer and Lemeshow goodness-of-fit statistic for this regression model indicated that the model was appropriate (p = 0.660). Women with arthritis who had suffered finger pain (OR = 1.70; 95% CI = 1.39, 2.07) were more likely to use CHM compared to women with no finger pain. Those who visited a massage therapist were more likely to use CHM (OR = 2.06; 95% CI = 1.56, 2.72) than women who did not visit a massage therapist. Women who went to a Traditional Chinese hospital were more likely to use CHM (OR = 2.22; 95% CI = 1.35, 3.64) compared to women who did not go to a Traditional Chinese hospital. Further, experiencing a fall (OR = 1.41; 95% CI = 1.17, 1.70) and/or having difficulty in stooping/kneeling/kneeling/crouching (OR = 1.40; 95% CI = 1.17, 1.68) were associated with higher likelihood of CHM usage.

Table 4.

Logistic regression identifying the statistically significant predictors of CHM use by Chinese women with arthritis.

Predictors of CHM use Odds ratio 95% C.I p-value
Finger pain No 1.00  < 0.001
Yes 1.70 1.39, 2.07
Difficulty in stooping, kneeling, crouching No 1.00  < 0.001
Yes 1.40 1.17, 1.68
Fallen down No 1.00  < 0.001
Yes 1.41 1.17, 1.70
Massage therapist No 1.00  < 0.001
Yes 2.06 1.56, 2.72
Traditional Chinese hospital No 1.00 0.002
Yes 2.22 1.35, 3.64

Discussion

In this nationally representative longitudinal survey study of middle-aged and older women with arthritis in China, the prevalence of CHM use was found to be 17.2% (n = 652). This finding is much higher than the results from Australia, indicating that 4% of women aged 62–67 had used CHM for their arthritis16. While another study conducted in Taiwan revealed that 83% of women with newly diagnosed RA used CHM22. The disparities between the prevalence rates of this research and those previous studies may be explained by several reasons. In the study from Australia, the age group of women was limited to 62–67 years old, which may lead to a conservative estimation of CHM use amongst female participants. As for the relatively higher prevalence of CHM use for women with RA found in Taiwan, the reason may be suggested by systematic reviews showing that CHM has beneficial clinical effects and quality of life improvement on RA, the most common type of inflammatory arthritis23. As such, further research is necessary to explore the detailed benefits of specific CHM types of arthritis conditions and symptoms for various age groups of women.

Consistent with previous studies, pain in the fingers was one of the most prevalent complaints reported by patients with arthritis24. In addition, results from this research indicated finger pain is one of the predictors that women with arthritis use CHM, which can be explained by the fact that CHM could exhibit strong anti-inflammatory and anti-oxidant activities, contributing to a reduction in inflammation and tissue damage in patients with arthritis25. Furthermore, the result from this study is in accordance with an analysis of arthritic adults in the US, suggesting that 21.5% of them used CHM to treat joint pain problems26. As the majority of women with arthritis reported pain27, further research is warranted to determine tailored treatments (both CHM and conventional) in order to provide better quality arthritis care for women.

This study demonstrates that women with arthritis who used CHM were more likely to experience limitations in physical function, such as stooping/kneeling/crouching, which may be explained by the fact that patients with arthritis suffer from joint damage28 and CHM provides potential benefits for physical functional improvement29. This result is in accordance with a placebo-controlled double-blind crossover trial indicating that CHM provides an analgesic effect and improved function in comparison to placebo for knee OA patients30. Furthermore, women with arthritis were more likely to experience declines in muscle density which could lead to worsening of physical function28, while CHM has been shown to have beneficial effects on muscle strength in older women31. More research is needed to identify the underlying mechanism of CHM in the physical function of those women with arthritis and related joint symptoms to improve arthritis management.

It is interesting to find from this study that women with arthritis who had fallen down before were more likely to use CHM adds support to the findings of a previous study indicating the fear of falling during daily activities decreased significantly in a Tai chi group, compared to the control group among women with OA32. The finding from this study is not surprising given that a wide range of fall incidence reported from people with arthritis, due to disease-related impairments (e.g., decreased muscle strength, reduced functioning, and pain)33. Moreover, a cross-sectional study comprising 1273 participants aged 60 years or older in the US observed high risk for falls among older adults who used complementary medicine (CM, including CHM), suggesting CM practitioners to pay particular attention on falls prevention strategies34. Nevertheless, more studies are required to examine the finer details of how incidents of falls may influence the choice of CHM use among female arthritis sufferers.

This research shows that CHM usage was positively associated with visiting a massage therapist and/or traditional Chinese hospital for women with arthritis. This result is consistent with the conclusion of a questionnaire-based interview from 250 patients with either RA or OA, indicating most CHM users believed complementary medicine (including massage theray)35. Furthermore, women who used CHM were reported to use multiple types of CM for their arthritic problems, such as multi-herb products, massage therapy and acupuncture15,36,37. However, the fact that women trying different types of CM could result in potential drug-CM interventions38. Further research is required to confirm the effectiveness of CHM on patients suffering from arthritis with regard to differences in gender, and health-related characteristics, in order to provide insights for women with arthritis and healthcare providers by decision making around CHM therapy, conventional treatment, and other healthcare use.

The interpretation of the above findings is limited by the fact that health conditions, health behaviors, and health services use are self-reported by the participants. As a result, findings may be open to recall bias. Moreover, the data analyzed came from a cross-sectional study that could only examine CHM use among women with arthritis, so further information on prescription, dosage and frequency of CHM use were not available in the original data. Arthritis could be diagnosed across the life course39, but this research focused on women aged 45 and above, thus limiting the generalizability of findings. Nevertheless, these limitations are countered by the fact that it is the first opportunity to examine middle-aged and older women who used CHM for their arthritis from an established, large, nationally representative sample that could be used to explore the associations between CHM use and women with arthritis.

Conclusion

Overall, the findings from this study indicate that a considerable proportion of Chinese women with arthritis utilize CHM to help deal with their arthritic symptoms, particularly those with pain and limited physical functioning. These findings reinforce the need for considering integrating CHM use into arthritic care management to improve quality and coordinated arthritis care.

Author contributions

L.Y.: conceptualization, data curation, methodology, writing—original draft preparation. D.S.: validation, writing—reviewing and editing.

Funding

This research was supported by Jiangsu Provincial Department Education (2020SJA0095).

Data availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Yang L, Sibbritt D, Adams J. A critical review of complementary and alternative medicine use among people with arthritis: A focus upon prevalence, cost, user profiles, motivation, decision-making, perceived benefits and communication. Rheumatol. Int. 2017;37(3):337–351. doi: 10.1007/s00296-016-3616-y. [DOI] [PubMed] [Google Scholar]
  • 2.Peterson LS. Mayo Clinic Guide to Arthritis: Managing Joint Pain for an Active Life. Mayo Clinic Press; 2020. [Google Scholar]
  • 3.China Health Statistical Digest: World Arthritis Day. In (ed Commission NH). http://www.nhc.gov.cn/gjyr/mtbd/201512/b31513bb5be045ddac8123df14b07ed6.shtml (National Health Commission of the People's Republic of China, 2015).
  • 4.Rao Y, Xu X, Liu D, Reis C, Newman IM, Qin L, Sharma M, Shen J, Zhao Y. Health-related quality of life in patients with arthritis: A cross-sectional survey among middle-aged adults in Chongqing, China. Int. J. Environ. Res. Publich Health. 2018;15(4):768. doi: 10.3390/ijerph15040768. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.CDCP: Arthritis types. In (ed Prevention CoDCa) (Centers of Disease Control and Prevention, 2017).
  • 6.Fung, F. Y. & Linn, Y. C. Developing traditional Chinese medicine in the era of evidence-based medicine: Current evidences and challenges. Evid.-Based Complement. Altern. Med. Rev.2015 (2015). [DOI] [PMC free article] [PubMed]
  • 7.Moore A, Komesaroff PA, O’brien K, Xu H, Bensoussan A. Chinese medicine in Australia. J. Altern. Complement. Med. 2016;22(7):515–525. doi: 10.1089/acm.2015.0260. [DOI] [PubMed] [Google Scholar]
  • 8.Peng W, Lauche R, Ferguson C, Frawley J, Adams J, Sibbritt D. Efficacy of Chinese herbal medicine for stroke modifiable risk factors: A systematic review. Chin. Med. 2017;12(1):25. doi: 10.1186/s13020-017-0146-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Yeung, W. & Chung, K. Traditional Chinese medicine treatments for depression, anxiety, and insomnia. In Complementary and Integrative Treatments in Psychiatric Practice (2017).
  • 10.Liao Y-N, Hu W-L, Chen H-J, Hung Y-C. The use of Chinese herbal medicine in the treatment of chronic obstructive pulmonary disease (COPD) Am. J. Chin. Med. 2017;45(02):225–238. doi: 10.1142/S0192415X17500148. [DOI] [PubMed] [Google Scholar]
  • 11.Xia, X. et al. Chinese herbal medicines for rheumatoid arthritis: Text-mining the classical literature for potentially effective natural products. Evid.-Based Complement. Altern. Med.2020 (2020). [DOI] [PMC free article] [PubMed]
  • 12.Zhang Y, Huang L, Su Y, Zhan Z, Li Y, Lai X. The effects of traditional Chinese exercise in treating knee osteoarthritis: A systematic review and meta-analysis. PLoS ONE. 2017;12(1):e0170237. doi: 10.1371/journal.pone.0170237. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Wang HR, Fu Q, Liu Z, Li ML, Zhai SQ. A systematic review and meta-analysis of randomized controlled trials: Skin-patch of Chinese herbal medicine for patients with acute gouty arthritis. J. Adv. Nurs. 2018;74(8):1769–1786. doi: 10.1111/jan.13571. [DOI] [PubMed] [Google Scholar]
  • 14.Qiu M, Zhang Q, Chen J, Zhenxing X, Peng H, Zhang Y, Chen J, Ming X. Efficacy and safety assessment for treating active rheumatoid arthritis patients by integrated traditional Chinese and Western Medicine. Chin. J. Inf. Tradit. Chin. Med. 2016;1:31–34. [Google Scholar]
  • 15.Li H-H, Livneh H, Yeh C-C, Guo H-R, Lai N-S, Lu M-C, Tsai T-Y. Association between use of Chinese herbal medicine and depression risk in patients with rheumatoid arthritis: A nationwide retrospective cohort study. Int. J. Rheum. Dis. 2019;22(6):986–994. doi: 10.1111/1756-185X.13529. [DOI] [PubMed] [Google Scholar]
  • 16.Yang L, Adams J, Sibbritt D. Prevalence and factors associated with the use of acupuncture and Chinese medicine: Results of a nationally representative survey of 17 161 Australian women. Acupunct. Med. 2017;35(3):189–199. doi: 10.1136/acupmed-2016-011179. [DOI] [PubMed] [Google Scholar]
  • 17.Yang L, Peng W, Adams J, Sibbritt D. Prevalence and characteristics of Australian women aged 45 and older who consult acupuncturists for their osteoarthritis. Int. J. Clin. Pract. 2017;71(12):e13040. doi: 10.1111/ijcp.13040. [DOI] [PubMed] [Google Scholar]
  • 18.Sun X, Zhen X, Hu X, Li Y, Gu S, Gu Y, Dong H. Osteoarthritis in the middle-aged and elderly in China: Prevalence and influencing factors. Int. J. Environ. Res. Public Health. 2019;16(23):4701. doi: 10.3390/ijerph16234701. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Gong X, et al. China rheumatoid arthritis registry of patients with Chinese medicine (CERTAIN): Rationale, design, and baseline characteristics of the first 11764 enrollees. Phytomed. Int. J. Phytother. Phytopharmacol. 2022;104:154236. doi: 10.1016/j.phymed.2022.154236. [DOI] [PubMed] [Google Scholar]
  • 20.Li Y, Xie W, Xiao W, Dou D. Progress in osteoarthritis research by the National Natural Science Foundation of China. Bone Res. 2022;10(1):1–12. doi: 10.1038/s41413-021-00166-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Zhao Y, Hu Y, Smith J, Strauss J, Yang G. Cohort profile: The China Health and Retirement Longitudinal Study (CHARLS) Int. J. Epidemiol. 2014;43:61–68. doi: 10.1093/ije/dys203. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Huang MC, Pai FT, Lin CC, Chang CM, Chang HH, Lee YC, Sun MF, Yen HR. Characteristics of traditional Chinese medicine use in patients with rheumatoid arthritis in Taiwan: A nationwide population-based study. J. Ethnopharmacol. 2015;176:9–16. doi: 10.1016/j.jep.2015.10.024. [DOI] [PubMed] [Google Scholar]
  • 23.Chou, P.-C. & Chu, H.-Y. Clinical efficacy of acupuncture on rheumatoid arthritis and associated mechanisms: A systemic review. Evid.-Based Complement. Altern. Med. Rev.2018, 8596918 (2018). [DOI] [PMC free article] [PubMed]
  • 24.Hammond A, Prior Y, Tyson S. Linguistic validation, validity and reliability of the British English versions of the Disabilities of the Arm, Shoulder and Hand (DASH) questionnaire and QuickDASH in people with rheumatoid arthritis. BMC Musculoskelet. Disord. 2018;19(1):118. doi: 10.1186/s12891-018-2032-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Lindler BN, Long KE, Taylor NA, Lei W. Use of herbal medications for treatment of osteoarthritis and rheumatoid arthritis. Medicines. 2020;7(11):67. doi: 10.3390/medicines7110067. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Zhang Y, Dennis JA, Bishop FL, Cramer H, Leach M, Lauche R, Sundberg T, Leung B, Zhang AL, Bacon L. Complementary and alternative medicine use by US adults with self-reported doctor-diagnosed arthritis: Results from the 2012 National Health Interview Survey. PM&R. 2019;11(10):1059–1069. doi: 10.1002/pmrj.12124. [DOI] [PubMed] [Google Scholar]
  • 27.de Luca K, Parkinson L, Downie A, Blyth F, Byles J. Three subgroups of pain profiles identified in 227 women with arthritis: A latent class analysis. Clin. Rheumatol. 2017;36(3):625–634. doi: 10.1007/s10067-016-3343-5. [DOI] [PubMed] [Google Scholar]
  • 28.Baker JF, et al. Low muscle density is associated with deteriorations in muscle strength and physical functioning in rheumatoid arthritis. Arthritis Care Res. 2019;73(3):355–363. doi: 10.1002/acr.24126. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Yang M, Jiang L, Wang Q, Chen H, Xu G. Traditional Chinese medicine for knee osteoarthritis: An overview of systematic review. PLoS ONE. 2017;12(12):e0189884. doi: 10.1371/journal.pone.0189884. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Soltanian AR, Mehdibarzi D, Faghihzadeh S, Naseri M, Gerami A. Mixture of Arnebia euchroma and Matricaria chamomilla (Marhame-Mafasel) for pain relief of osteoarthritis of the knee—A two-treatment, two-period crossover trial. Arch. Med. Sci. 2010;6(6):950. doi: 10.5114/aoms.2010.19307. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Lim S, Park H, Park J, Jang J, Kim K, Ryu J. The relationship between Schisandrae Chinensis supplementation and muscle strength in older women. Innov. Aging. 2017;1(Suppl 1):552. doi: 10.1093/geroni/igx004.1946. [DOI] [Google Scholar]
  • 32.Song R, Roberts B, Lee E, Lam P, Bae S. A randomized study of the effects of t'ai chi on muscle strength, bone mineral density, and fear of falling in women with osteoarthritis. J. Altern. Complement. Med. 2010;16(3):227–233. doi: 10.1089/acm.2009.0165. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Brenton-Rule, A., Dalbeth, N., Bassett, S., Menz, H. B. & Rome, K. The incidence and risk factors for falls in adults with rheumatoid arthritis: a systematic review. In Seminars in Arthritis and Rheumatism: 2015, 389–398 (Elsevier, 2015). [DOI] [PubMed]
  • 34.Caron A, Gallo WT, Durbin LL, Mielenz TJ. Relationship between falls and complementary and alternative medicine use among community-dwelling older adults. J. Altern. Complement. Med. 2017;23(1):41–44. doi: 10.1089/acm.2016.0095. [DOI] [PubMed] [Google Scholar]
  • 35.Alaaeddine N, Okais J, Ballane L, Baddoura RM. Use of complementary and alternative therapy among patients with rheumatoid arthritis and osteoarthritis. J. Clin. Nurs. 2012;21(21/22):3198–3204. doi: 10.1111/j.1365-2702.2012.04169.x. [DOI] [PubMed] [Google Scholar]
  • 36.Yang, L. Traditional Chinese medicine use amongst women with arthritis: a health services research study (Doctoral dissertation) (University of Technology Sydney, 2018).
  • 37.Ng TP, Tan CH, Kua EH. The use of Chinese herbal medicines and their correlates in Chinese older adults: The Singapore Chinese Longitudinal Aging Study. Age Ageing. 2004;33(2):135–142. doi: 10.1093/ageing/afh016. [DOI] [PubMed] [Google Scholar]
  • 38.Alwhaibi, M., AlRuthia, Y. & Meraya, A. M. Gender differences in the prevalence of complementary and alternative medicine utilization among adults with arthritis in the United States. Evid.-Based Complement. Altern. Med.2019, 11. 10.1155/2019/8739170 (2019). [DOI] [PMC free article] [PubMed]
  • 39.Jetha A, Theis KA, Boring MA, Barbour KE. Education and employment participation in young adulthood: What role does arthritis play? Arthritis Care Res. Gerontol. Nurs. 2017;69(10):1582–1589. doi: 10.1002/acr.23175. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.


Articles from Scientific Reports are provided here courtesy of Nature Publishing Group

RESOURCES