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Preplanned Studies: Effectiveness and Acceptability of A Community-Based Comprehensive Smoking Cessation Intervention Incorporating Traditional Chinese Medicine Therapy — Qingdao City, Shandong Province, China, December 2023–December 2024

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  • Summary

    What is already known about this topic?

    Traditional Chinese Medicine (TCM) acupuncture represents a feasible, low-risk smoking cessation intervention, yet evidence supporting its integration into community-based programs in China remains limited.

    What is added by this report?

    The intervention group demonstrated substantially higher self-reported sustained abstinence rates compared to the control group at each follow-up assessment (23.85% vs. 7.60%, 19.25% vs. 4.40%, and 17.57% vs. 4.00%; P<0.05). Participants receiving the intervention were 2.44 times more likely to achieve sustained smoking cessation at 6 months compared to controls [adjusted odds ratio (aOR)=2.44, 95% confidence interval (CI): 1.08, 5.50].

    What are the implications for public health practice?

    This study establishes a precedent for integrating comprehensive TCM approaches into existing community smoking cessation services. Our findings provide innovative perspectives and empirical evidence to advance the development of smoking cessation intervention models.

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  • Conflicts of interest: No conflicts of interest.
  • Funding: Supported by Qingdao Outstanding Health Professional Development Fund; Medical and Health Scientific Research Project of Qingdao (2023-WJZD123)-A Study On A Comprehensive Community-based Smoking Cessation Intervention Applying Appropriate Techniques Of Traditional Chinese Medicine Based On Social Cognitive Theory; Medical and Health Technology Project of Shandong (202312050847)-A Study On A Comprehensive Community-based Smoking Cessation Intervention Based on Health Belief Model (HBM)
  • [1] Hughes JR, Keely J, Naud S. Shape of the relapse curve and long-term abstinence among untreated smokers. Addiction 2004;99(1):29 − 38. https://doi.org/10.1111/j.1360-0443.2004.00540.x.
    [2] Wang JH, van Haselen R, Wang M, Yang GL, Zhang Z, Friedrich ME, et al. Acupuncture for smoking cessation: a systematic review and meta-analysis of 24 randomized controlled trials. Tob Induc Dis 2019;17:48. https://doi.org/10.18332/tid/109195.
    [3] Ma E, Chan T, Zhang O, Yang JS, Wang YY, Li YC, et al. Effectiveness of acupuncture for smoking cessation in a Chinese population. Asia Pac J Public Health 2015;27(2):NP2610 − 22. https://doi.org/10.1177/1010539513503867.
    [4] Anthenelli RM, Benowitz NL, West R, St Aubin L, McRae T, Lawrence D, et al. Neuropsychiatric safety and efficacy of varenicline, bupropion, and nicotine patch in smokers with and without psychiatric disorders (EAGLES): a double-blind, randomised, placebo-controlled clinical trial. Lancet 2016;387(10037):2507 − 20. https://doi.org/10.1016/S0140-6736(16)30272-0.
    [5] Mersha AG, Eftekhari P, Kennedy M, Gould GS. Factors associated with quitting among smoking cessation medication-assisted smokers and ex-smokers: a cross-sectional study in Australia. Prev Med Rep 2023;32:102168. https://doi.org/10.1016/j.pmedr.2023.102168.
    [6] Vallata A, O’Loughlin J, Cengelli S, Alla F. Predictors of cigarette smoking cessation in adolescents: a systematic review. J Adolesc Health 2021;68(4):649 − 57. https://doi.org/10.1016/j.jadohealth.2020.09.025.
    [7] Guo NY, Luk TT, Wu YS, Guo ZQ, Chu JCL, Cheung YTD, et al. Effect of mobile interventions with nicotine replacement therapy sampling on long-term smoking cessation in community smokers: a pragmatic randomized clinical trial. Tob Induc Dis 2023;21:44. https://doi.org/10.18332/tid/160168.
    [8] Weng X, Wu YD, Luk TT, Li WHC, Cheung DYT, Tong HSC, et al. Active referral plus a small financial incentive upon cessation services use on smoking abstinence: a community-based, cluster-randomised controlled trial. Lancet Reg Health West Pac 2021;13:100189. https://doi.org/10.1016/j.lanwpc.2021.100189.
    [9] Jayakrishnan R, Uutela A, Mathew A, Auvinen A, Mathew PS, Sebastian P. Smoking cessation intervention in rural kerala, India: findings of a randomised controlled trial. Asian Pac J Cancer Prev 2013;14(11):6797 − 802. https://doi.org/10.7314/apjcp.2013.14.11.6797.
    [10] Chen SM, Chang J, Tan CR, Zhu H, Yang JS, Liu Z, et al. Current status and prospects of Research on the potential neurobiological mechanisms of acupuncture in the treatment of tobacco dependence. J Tradit Chin Med 2025;66(4):421 − 6. https://doi.org/10.13288/j.11-2166/r.2025.04.016.
  • FIGURE 1.  Flowchart of participant recruitment and progression throughout the study — Qingdao City, China, 2023.

    TABLE 1.  Baseline characteristics of participants — Qingdao City, China, December 2023 – December 2024 [N (%)].

    Characteristic Total Control group Intervention group t/χ2 P
    Total 489 (100.00) 250 (100.00) 239 (100.00)
    Gender* 3.86 0.06
    Male 482 (98.57) 249 (99.60) 233 (97.49)
    Female 7 (1.43) 1 (0.40) 6 (2.51)
    Age (M±SD) 47.75±14.52 53.39±13.95 41.86±12.67 9.55 <0.001
    Marital status 22.14 <0.01
    Married 428 (87.53) 236 (94.40) 192 (80.33)
    Unmarried/divorced/widowed 61 (12.47) 14 (5.60) 47 (19.67)
    Education level 129.43 <0.01
    Primary or lower 47 (9.61) 37 (14.80) 10 (4.18)
    Secondary school 127 (25.97) 97 (38.80) 30 (12.55)
    High school/secondary specialized school 116 (23.72) 75 (30.00) 41 (17.15)
    Specialized school or higher 199 (40.69) 41 (16.40) 158 (66.11)
    Employment status 0.03 0.87
    Employed 323 (66.05) 166 (66.40) 157 (65.69)
    Unemployed 166 (33.95) 84 (33.60) 82 (34.31)
    Perceived health status at the first visit 8.54 0.01
    Very good/good 404 (82.62) 218 (87.20) 186 (77.82)
    Fair 80 (16.36) 29 (11.60) 51 (21.34)
    Very poor/poor 5 (1.02) 3 (1.20) 2 (0.84)
    Chronic non-communicable diseases 24.39 <0.01
    Yes 194 (39.67) 136 (54.40) 58 (24.27)
    No 295 (60.33) 114 (45.60) 181 (75.73)
    Daily cigarette consumption (M±SD) 14.13±8.12 14.33±8.76 13.93±7.47 −0.54 0.59
    Fagerström test for nicotine dependence 6.53 0.04
    Low (0–3) 277 (56.65) 149 (59.60) 128 (53.56)
    Moderate (4–5) 92 (18.81) 36 (14.40) 56 (23.43)
    Severe (6–10) 120 (24.54) 65 (26.00) 55 (23.01)
    Abbreviation: M=mean; SD=standard deviation.
    * Fisher’s exact test was employed to examine the chi-square value.
    Download: CSV

    TABLE 2.  Logistic regression analysis of influencing factors of the six-month CAR — Qingdao City, China, December 2023 – December 2024 (n=489).

    Characteristic B SE Wald χ2 P aOR (95% CI)
    Education level 0.86 0.25 11.62 <0.01 2.37 (1.44, 3.89)
    Daily cigarette consumption −0.07 0.02 9.82 <0.01 0.93 (0.89, 0.97)
    Perceived health status at the first visit 0.77 0.38 4.16 0.04 2.16 (1.03, 4.54)
    Intervention −0.89 0.41 4.63 0.03 2.44 (1.08, 5.50)
    Note: aOR, adjusted for characteristic factors.
    Abbreviation: CAR=continuous abstinence rate; SE=standard error; aOR=adjusted odds ratio; CI=confidence interval.
    Download: CSV

    TABLE 3.  Comparison of cessation outcomes between the intervention and control groups at a six-month follow-up — Qingdao City, China, December 2023 – December 2024.

    Six-month follow-up Intervention group (n, %) Control group (n, %) aOR 95% CI P
    Quit attempt rate 146 (61.09) 56 (22.40) 5.01 (3.14, 7.99) <0.01
    Smoking reduction rate 110 (46.03) 57 (22.80) 2.99 (2.00, 4.45) <0.01
    Seven-day PPAR 74 (30.96) 20 (8.00) 3.76 (2.04, 6.90) <0.01
    CAR 42 (17.57) 10 (4.00) 2.44 (1.08, 5.50) 0.03
    Note: aOR, adjusted for characteristics factors.
    Abbreviation: CI=confidence interval; PPAR=point prevalence of abstinence rate; CAR=continuous abstinence rate; aOR=adjusted odds ratio.
    Download: CSV

    TABLE 4.  Sensitivity analysis of the impact of intervention effects on various outcome variables at the 6-month follow-up.

    Elements Model 1 (unadjusted) Model 2 (adjusted)* Model 3 (adjusted)
    β (95% CI) P β (95% CI) P β (95% CI) P
    Quit attempt rate 5.44 (3.66, 8.07) <0.01 4.27 (2.73, 6.68) <0.01 5.01 (3.14, 7.99) <0.01
    Smoking reduction rate 2.89 (1.96, 4.26) <0.01 2.89 (1.96, 4.26) <0.01 2.99 (2.00, 4.45) <0.01
    Seven-day PPAR 5.16 (3.03, 8.79) <0.01 3.43 (1.88, 6.26) <0.01 3.76 (2.04, 6.90) <0.01
    CAR 5.12 (2.50, 10.46) <0.01 2.49 (1.13, 5.48) 0.02 2.44 (1.08, 5.50) 0.03
    Abbreviation: CI=confidence interval; PPAR=point prevalence of abstinence rate; CAR=continuous abstinence rate.
    * Covariates in model 2 included age, marital status, education, health status, chronic non-communicable diseases, Fagerström test for nicotine dependence.
    Covariates in model 3 included all baseline characteristics.
    Download: CSV

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Effectiveness and Acceptability of A Community-Based Comprehensive Smoking Cessation Intervention Incorporating Traditional Chinese Medicine Therapy — Qingdao City, Shandong Province, China, December 2023–December 2024

View author affiliations

Summary

What is already known about this topic?

Traditional Chinese Medicine (TCM) acupuncture represents a feasible, low-risk smoking cessation intervention, yet evidence supporting its integration into community-based programs in China remains limited.

What is added by this report?

The intervention group demonstrated substantially higher self-reported sustained abstinence rates compared to the control group at each follow-up assessment (23.85% vs. 7.60%, 19.25% vs. 4.40%, and 17.57% vs. 4.00%; P<0.05). Participants receiving the intervention were 2.44 times more likely to achieve sustained smoking cessation at 6 months compared to controls [adjusted odds ratio (aOR)=2.44, 95% confidence interval (CI): 1.08, 5.50].

What are the implications for public health practice?

This study establishes a precedent for integrating comprehensive TCM approaches into existing community smoking cessation services. Our findings provide innovative perspectives and empirical evidence to advance the development of smoking cessation intervention models.

  • 1. School of Public Health, Qingdao University, Qingdao City, Shandong Province, China
  • 2. Qingdao Municipal Center for Disease Control and Prevention, Qingdao City, Shandong Province, China
  • 3. Community Health Service Center of Xuejiadao Street, Huangdao District, Qingdao City, Shandong Province, China
  • 4. Community Health Service Center of Chengyang Street, Chengyang District, Qingdao City, Shandong Province, China
  • 5. Tobacco Control Office, Chinese Center for Disease Control and Prevention, Beijing, China
  • Corresponding authors:

    Fei Qi, CDCjkjy@qd.shandong.cn

    Yi Nan, nanyi@chinacdc.cn

  • Funding: Supported by Qingdao Outstanding Health Professional Development Fund; Medical and Health Scientific Research Project of Qingdao (2023-WJZD123)-A Study On A Comprehensive Community-based Smoking Cessation Intervention Applying Appropriate Techniques Of Traditional Chinese Medicine Based On Social Cognitive Theory; Medical and Health Technology Project of Shandong (202312050847)-A Study On A Comprehensive Community-based Smoking Cessation Intervention Based on Health Belief Model (HBM)
  • Online Date: November 21 2025
    Issue Date: November 21 2025
    doi: 10.46234/ccdcw2025.249
    • Introduction: Traditional Chinese Medicine (TCM) provides a practical and safe approach to smoking cessation. However, research examining its integration into community-based smoking cessation programs in Chinese mainland remains limited.

      Methods: This cluster randomized controlled trial selected 20 matched communities in Qingdao and randomly assigned them in a 1∶1 ratio to intervention or control groups, with 10 communities per group. Community health centers recruited voluntary smokers seeking cessation as study participants. The final sample comprised 239 participants in the intervention group and 250 in the control group, totaling 489 participants. The intervention group received a comprehensive TCM-based community intervention incorporating acupuncture and auricular acupressure, while the control group received standard self-help smoking cessation materials. Follow-up assessments were conducted at one, three, and six months post-enrollment. Logistic regression models were employed to evaluate the intervention’s impact on smoking cessation outcomes.

      Results: Logistic regression analysis adjusted for covariates demonstrated that the intervention group achieved significantly superior smoking cessation outcomes at all follow-up time points compared to the control group. At 6 months, participants in the intervention group showed significantly higher probabilities of achieving sustained cessation [adjusted odds ratio (aOR)=2.44, 95% confidence interval (CI): 1.08, 5.50], attempting cessation (aOR=5.01, 95% CI: 3.14, 7.99), reducing smoking consumption (aOR=2.99, 95% CI: 2.00, 4.45), and maintaining 7-day point prevalence abstinence (aOR=3.76, 95% CI: 2.04, 6.90).

      Conclusions: These findings provide compelling evidence supporting the integration of TCM smoking cessation therapies into community-based cessation services. The results offer innovative perspectives and empirical evidence for advancing smoking intervention models in public health practice.

    • Smoking cessation represents the most effective strategy for reducing population-level smoking prevalence. However, unassisted attempts to quit achieve success rates of only 3.00%–5.00% (1). While evidence-based research in modern medicine has established Traditional Chinese Medicine (TCM) acupuncture as a feasible, effective, and low-risk therapeutic approach for smoking cessation (2), a significant research gap persists regarding the effectiveness of community-based acupuncture interventions for smoking cessation. This community-based trial conducted in Qingdao, China, from December 2023 to December 2024, evaluated the effectiveness of an integrated TCM smoking cessation intervention. The study enrolled 489 eligible participants, with 239 assigned to the TCM intervention group and 250 to the control group. At each follow-up assessment, the intervention group demonstrated significantly higher rates of continuous abstinence, seven-day point prevalence of abstinence, smoking reduction, and quit attempts compared to the control group. Adjusted logistic regression analysis revealed that relative to controls, the intervention group had 2.44 times higher odds of achieving continuous abstinence [95% confidence interval (CI): 1.08, 5.50], 5.01 times greater likelihood of attempting smoking cessation (95% CI: 3.14, 7.99), 2.99 times increased probability of smoking reduction (95% CI: 2.00, 4.45), and 3.76 times elevated odds of seven-day abstinence (95% CI: 2.04, 6.90) at six-month follow-up.

      Based on the sample size formula for cluster randomized controlled trials, each group required a minimum of 72 participants. To ensure adequate statistical power, we recruited additional participants beyond this threshold. We selected 20 matched communities in Qingdao and randomly assigned them in a 1∶1 ratio to either intervention or control groups. Community health service centers recruited approximately 25 participants per community from voluntary quitters who had at least one year of smoking history and had smoked daily in the previous month. The control group received standard self-help smoking cessation materials distributed by community health workers (Figure 1). Given the distinctive nature of TCM treatment protocols, blinding participants to group assignment was not feasible. The intervention group participated in a comprehensive TCM smoking cessation program comprising two key components: TCM therapeutic services in the form of body acupuncture administered 2 to 3 times weekly for eight weeks, combined with auricular acupressure involving seed replacement every 2 to 3 days for eight weeks. Trained community physicians performed all acupuncture and auricular point pressing procedures following standardized protocols developed by the China Academy of Chinese Medical Sciences (CACMS). To ensure treatment consistency across all sites, these physicians completed two intensive training sessions provided by CACMS, focusing on precise point location, needling techniques, and auricular pressing methods (3). Supportive environmental interventions encompass comprehensive public education on tobacco-related health risks, disseminated through multiple channels, including timed releases of risk information via community WeChat groups and offline materials such as posters and bulletin boards. The program featured six educational lectures at community health centers covering topics including smoking health risks, cessation benefits, and firsthand quit-smoking experiences, with each lecture reaching at least 50 community residents. Additional activities included smoking cessation competitions, smoke-free family initiatives, smoke-free community programs, and complimentary TCM medical consultations after each lecture. Community workers implemented supportive activities to create an environment conducive to smoking cessation.

      Figure 1. 

      Flowchart of participant recruitment and progression throughout the study — Qingdao City, China, 2023.

      Participants underwent follow-up assessments at one, three, and six months post-intervention. The primary outcome was continuous abstinence rate (CAR), while secondary outcomes included seven-day point prevalence of abstinence rate (PPAR), smoking reduction rate, and quit attempt rate at each follow-up timepoint. We applied the following standardized definitions: a quit attempt was defined as self-reported abstinence lasting ≥24 hours; seven-day PPAR required self-reported continuous abstinence for ≥7 days preceding the follow-up assessment; CAR indicated sustained self-reported abstinence maintained since enrollment; and smoking reduction was defined as a ≥50% decrease in daily cigarette consumption compared to baseline levels (excluding participants who reported complete abstinence). All analyses adhered to intention-to-treat (ITT) principles, with participants lost to follow-up conservatively classified as current smokers. Participants who missed all three follow-up assessments were considered lost to follow-up while remaining included in ITT analysis.

      Data analysis was performed using SPSS (version 25, IBM Corporation, Armonk, US) and R software (version 4.4.3, R Foundation for Statistical Computing, Vienna, Austria). Continuous variables following normal distributions were presented as mean ± standard deviation (SD), while non-normally distributed variables were summarized as median (interquartile range, IQR). Categorical variables were described using frequencies and percentages. We conducted logistic regression analysis to identify factors associated with six-month smoking cessation outcomes, with results reported as odds ratio (OR) and 95% CI. All statistical tests were two-tailed, with P<0.05 considered statistically significant.

      This study enrolled 489 smokers, with participants distributed by 239 in the intervention group and 250 in the control group. The study population was predominantly male (98.57%) with a mean age of 47.75 years. The majority of participants were married (87.53%) and employed (66.05%), while 40.69% had achieved college-level education or higher. Participants consumed an average of 14.13±8.12 cigarettes per day at baseline (Table 1).

      Characteristic Total Control group Intervention group t/χ2 P
      Total 489 (100.00) 250 (100.00) 239 (100.00)
      Gender* 3.86 0.06
      Male 482 (98.57) 249 (99.60) 233 (97.49)
      Female 7 (1.43) 1 (0.40) 6 (2.51)
      Age (M±SD) 47.75±14.52 53.39±13.95 41.86±12.67 9.55 <0.001
      Marital status 22.14 <0.01
      Married 428 (87.53) 236 (94.40) 192 (80.33)
      Unmarried/divorced/widowed 61 (12.47) 14 (5.60) 47 (19.67)
      Education level 129.43 <0.01
      Primary or lower 47 (9.61) 37 (14.80) 10 (4.18)
      Secondary school 127 (25.97) 97 (38.80) 30 (12.55)
      High school/secondary specialized school 116 (23.72) 75 (30.00) 41 (17.15)
      Specialized school or higher 199 (40.69) 41 (16.40) 158 (66.11)
      Employment status 0.03 0.87
      Employed 323 (66.05) 166 (66.40) 157 (65.69)
      Unemployed 166 (33.95) 84 (33.60) 82 (34.31)
      Perceived health status at the first visit 8.54 0.01
      Very good/good 404 (82.62) 218 (87.20) 186 (77.82)
      Fair 80 (16.36) 29 (11.60) 51 (21.34)
      Very poor/poor 5 (1.02) 3 (1.20) 2 (0.84)
      Chronic non-communicable diseases 24.39 <0.01
      Yes 194 (39.67) 136 (54.40) 58 (24.27)
      No 295 (60.33) 114 (45.60) 181 (75.73)
      Daily cigarette consumption (M±SD) 14.13±8.12 14.33±8.76 13.93±7.47 −0.54 0.59
      Fagerström test for nicotine dependence 6.53 0.04
      Low (0–3) 277 (56.65) 149 (59.60) 128 (53.56)
      Moderate (4–5) 92 (18.81) 36 (14.40) 56 (23.43)
      Severe (6–10) 120 (24.54) 65 (26.00) 55 (23.01)
      Abbreviation: M=mean; SD=standard deviation.
      * Fisher’s exact test was employed to examine the chi-square value.

      Table 1.  Baseline characteristics of participants — Qingdao City, China, December 2023 – December 2024 [N (%)].

      At each follow-up time point, the intervention group consistently demonstrated significantly superior rates across all smoking cessation outcomes compared to the control group. Specifically, the intervention group achieved higher quit attempt rates, seven-day PPAR, CAR, and smoking reduction rates at 1-month (43.51% vs. 14.00%, 26.36% vs. 8.80%, 23.85% vs. 7.60%, and 37.24% vs. 22.40%; P<0.05), 3-month (54.81% vs. 19.20%, 29.71% vs. 6.80%, 19.25% vs. 4.40%, and 43.10% vs. 30.40%; P<0.05), and 6-month follow-ups (61.09% vs. 22.40%, 30.96% vs. 8.00%, 17.57% vs. 4.00%, and 46.03% vs. 22.80%; P<0.05).

      Logistic regression analysis was performed to identify predictors of six-month CAR, incorporating all aforementioned variables. The results revealed that participants in the intervention group demonstrated 2.44 times greater likelihood of achieving sustained smoking cessation at six months compared to the control group [adjusted OR (aOR)=2.44, 95% CI: 1.08, 5.50]. Additionally, higher educational attainment (aOR=2.37, 95% CI: 1.44, 3.89) and poorer perceived health status (aOR=2.16, 95% CI: 1.03, 4.54) significantly enhanced the probability of successful cessation. Conversely, higher daily cigarette consumption substantially reduced cessation success (aOR=0.93, 95% CI: 0.89, 0.97). The comprehensive results are presented in Table 2.

      Characteristic B SE Wald χ2 P aOR (95% CI)
      Education level 0.86 0.25 11.62 <0.01 2.37 (1.44, 3.89)
      Daily cigarette consumption −0.07 0.02 9.82 <0.01 0.93 (0.89, 0.97)
      Perceived health status at the first visit 0.77 0.38 4.16 0.04 2.16 (1.03, 4.54)
      Intervention −0.89 0.41 4.63 0.03 2.44 (1.08, 5.50)
      Note: aOR, adjusted for characteristic factors.
      Abbreviation: CAR=continuous abstinence rate; SE=standard error; aOR=adjusted odds ratio; CI=confidence interval.

      Table 2.  Logistic regression analysis of influencing factors of the six-month CAR — Qingdao City, China, December 2023 – December 2024 (n=489).

      Identical logistic regression models were employed to examine intervention effects on six-month quit attempt rates, seven-day PPAR, and smoking reduction rates. The analysis demonstrated that participants in the intervention group exhibited 5.01 times higher odds of making quit attempts (aOR=5.01, 95% CI: 3.14, 7.99), 2.99 times greater odds of achieving smoking reduction (aOR=2.99, 95% CI: 2.00, 4.45), and 3.76 times elevated odds of attaining seven-day PPAR (aOR=3.76, 95% CI: 2.04, 6.90) compared to the control group, with all differences reaching statistical significance (Table 3).

      Six-month follow-up Intervention group (n, %) Control group (n, %) aOR 95% CI P
      Quit attempt rate 146 (61.09) 56 (22.40) 5.01 (3.14, 7.99) <0.01
      Smoking reduction rate 110 (46.03) 57 (22.80) 2.99 (2.00, 4.45) <0.01
      Seven-day PPAR 74 (30.96) 20 (8.00) 3.76 (2.04, 6.90) <0.01
      CAR 42 (17.57) 10 (4.00) 2.44 (1.08, 5.50) 0.03
      Note: aOR, adjusted for characteristics factors.
      Abbreviation: CI=confidence interval; PPAR=point prevalence of abstinence rate; CAR=continuous abstinence rate; aOR=adjusted odds ratio.

      Table 3.  Comparison of cessation outcomes between the intervention and control groups at a six-month follow-up — Qingdao City, China, December 2023 – December 2024.

      To address potential confounding from baseline differences, we conducted comprehensive sensitivity analyses. The results confirmed that the intervention’s beneficial effects on all outcome variables maintained statistical significance (P<0.05) across all model specifications, with consistent positive effect directions (β>0), demonstrating the robustness of our primary findings (Table 4).

      Elements Model 1 (unadjusted) Model 2 (adjusted)* Model 3 (adjusted)
      β (95% CI) P β (95% CI) P β (95% CI) P
      Quit attempt rate 5.44 (3.66, 8.07) <0.01 4.27 (2.73, 6.68) <0.01 5.01 (3.14, 7.99) <0.01
      Smoking reduction rate 2.89 (1.96, 4.26) <0.01 2.89 (1.96, 4.26) <0.01 2.99 (2.00, 4.45) <0.01
      Seven-day PPAR 5.16 (3.03, 8.79) <0.01 3.43 (1.88, 6.26) <0.01 3.76 (2.04, 6.90) <0.01
      CAR 5.12 (2.50, 10.46) <0.01 2.49 (1.13, 5.48) 0.02 2.44 (1.08, 5.50) 0.03
      Abbreviation: CI=confidence interval; PPAR=point prevalence of abstinence rate; CAR=continuous abstinence rate.
      * Covariates in model 2 included age, marital status, education, health status, chronic non-communicable diseases, Fagerström test for nicotine dependence.
      Covariates in model 3 included all baseline characteristics.

      Table 4.  Sensitivity analysis of the impact of intervention effects on various outcome variables at the 6-month follow-up.

    • This study represents the first comprehensive community-based TCM smoking cessation intervention implemented in China, pioneering the integration of evidence-based TCM approaches into existing community cessation services. The intervention demonstrated high fidelity, with most planned activities successfully delivered according to protocol records, confirming the feasibility of incorporating TCM therapies into community smoking cessation programs.

      The study achieved a 17.57% six-month continuous abstinence rate for the intervention group, revealing distinct characteristics compared to pharmacological approaches. While this rate falls below the 25.50% continuous abstinence rate reported for varenicline in clinical randomized controlled trials, it closely approximates the efficacy of nicotine patches (18.50%) and bupropion (18.80%) (4). The TCM protocol achieved comparable long-term cessation rates to conventional nicotine replacement therapy (NRT) without creating pharmacological dependency, offering a non-medication alternative for community interventions.

      Consistent with previous research findings (56), multivariable analysis identified higher educational attainment and poorer self-rated health status as significant positive predictors of six-month continuous abstinence. Conversely, heavier daily cigarette consumption negatively correlated with successful cessation. These associations likely reflect several key factors: 1) populations with lower education levels require targeted strategies to enhance accessibility and acceptability of TCM smoking cessation services; 2) illness attribution effects can motivate health-compromised smokers by highlighting smoking-related symptoms; and 3) heavy smokers require intensive, tailored interventions to overcome high nicotine dependence and withdrawal symptoms while improving cessation efficacy.

      The observed six-month quit attempt rate (61.09%) notably exceeded the 47.00% rate reported in the mobile platform-based community intervention conducted in Hong Kong by Guo et al. (7). Additionally, 46.03% of participants in the intervention group who did not achieve complete cessation reduced their daily cigarette consumption by more than 50% from baseline levels at six months, significantly exceeding those documented in comparable studies (89). The sustained effects of acupuncture may result from acupoint stimulation that regulates mesolimbic dopamine release, thereby suppressing nicotine withdrawal symptoms and cravings while promoting lasting behavioral modifications (10). These findings demonstrate that this comprehensive TCM-based intervention approach more effectively promotes long-term cessation attempts compared to conventional community services.

      The six-month seven-day point prevalence abstinence rate (30.96%) substantially exceeded outcomes from comparable interventions: the 16.80% rate observed in Hong Kong’s community acupuncture program (3) and the 16.00% rate reported by Jayakrishnan et al. (9) for health education-based interventions in rural India. These results indicate that integrating TCM acupuncture with community health education produces superior cessation outcomes compared to implementing either approach independently.

      There are several limitations to be acknowledged. Firstly, the primary limitation involves our inability to definitively determine whether smoking cessation effects resulted from the TCM interventions themselves or from the supportive cessation environment created. Future research should incorporate comparable control groups to address this methodological concern. Secondly, while we implemented activities to maintain participant adherence, we did not quantify adherence assessment. Thirdly, relying on self-reported abstinence without biochemical verification may introduce reporting bias. Fourthly, due to the inherent limitations of community-based trials, selection bias during participant recruitment may have led to baseline characteristic imbalances between groups, potentially causing inaccurate intervention effect estimation. Finally, implementation challenges arose from limited domestic precedents for TCM acupuncture smoking cessation protocols, necessitating strict adherence to research specifications established by the China Academy of Chinese Medical Sciences.

      In conclusion, this study demonstrates the feasibility of implementing TCM-based smoking cessation services within community settings. TCM cessation approaches, which have demonstrated satisfactory acceptability, smoking abstinence rates, and operational feasibility, are well-suited for integration into community tobacco control programs. Efforts should be intensified to promote TCM acupuncture for smoking cessation, integrate to these approaches into public health services, and enhance to training and policy support for community healthcare providers.

    • The Ethics Review Committee of China CDC approved the study protocol (Approval No. 202314), and the trial was registered with the Chinese Clinical Trial Registry (Registration No. ChiCTR2400080614).

  • Conflicts of interest: No conflicts of interest.
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