Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59496, first published .
Feasibility and Preliminary Effects of a Social Media–Based Peer-Group Mobile Messaging Smoking Cessation Intervention Among Chinese Immigrants who Smoke: Pilot Randomized Controlled Trial

Feasibility and Preliminary Effects of a Social Media–Based Peer-Group Mobile Messaging Smoking Cessation Intervention Among Chinese Immigrants who Smoke: Pilot Randomized Controlled Trial

Feasibility and Preliminary Effects of a Social Media–Based Peer-Group Mobile Messaging Smoking Cessation Intervention Among Chinese Immigrants who Smoke: Pilot Randomized Controlled Trial

Original Paper

1Department of Population Health, New York University Grossman School of Medicine, New York, NY, United States

2Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, United States

3Department of Communication, College of Humanities and Social Sciences, George Mason University, Fairfax, VA, United States

4Department of Medicine, VA New York Harbor Healthcare System, New York, NY, United States

Corresponding Author:

Nan Jiang, PhD

Department of Population Health

New York University Grossman School of Medicine

17th Fl

180 Madison Ave

New York, NY, 10016

United States

Phone: 1 646 501 3553

Email: Nan.Jiang@nyulangone.org


Background: Chinese immigrants experience significant disparities in tobacco use. Culturally adapted tobacco treatments targeting this population are sparse and the use is low. The low use of these treatment programs is attributed to their exclusive focus on individuals who are ready to quit and the wide range of barriers that Chinese immigrants face to access these programs. To support Chinese immigrant smokers at all levels of readiness to quit and address their access barriers, we developed the WeChat Quit Coach, a culturally and linguistically appropriate WeChat (Tencent Holdings Limited)–based peer group mobile messaging smoking cessation intervention.

Objective: This study aims to assess the feasibility, acceptability, and preliminary effects of WeChat Quit Coach.

Methods: We enrolled a total of 60 Chinese immigrant smokers in 2022 in New York City for a pilot randomized controlled trial (RCT) and a single-arm pilot test. The first 40 participants were randomized to either the intervention arm (WeChat Quit Coach) or the control arm (self-help print material) using 1:1 block randomization stratified by sex. WeChat Quit Coach lasted 6 weeks, featuring small peer groups moderated by a coach, daily text messages with text questions, and chat-based instant messaging support from the coach in response to peer questions. The next 20 participants were enrolled in the single-arm pilot test to further assess intervention feasibility and acceptability. All 60 participants were offered a 4-week supply of complimentary nicotine replacement therapy. Surveys were administered at baseline and 6 weeks, with participants in the pilot RCT completing an additional survey at 6 months and biochemical verification of abstinence at both follow-ups.

Results: Of 74 individuals screened, 68 (92%) were eligible and 60 (88%) were enrolled. The majority of participants, with a mean age of 42.5 (SD 13.8) years, were male (49/60, 82%) and not ready to quit, with 70% (42/60) in the precontemplation or contemplation stage at the time of enrollment. The pilot RCT had follow-up rates of 98% (39/40) at 6 weeks and 93% (37/40) at 6 months, while the single-arm test achieved 100% follow-up at 6 weeks. On average, participants responded to daily text questions for 25.1 days over the 42-day intervention period and 23% (9/40) used the chat-based instant messaging support. Most participants were satisfied with WeChat Quit Coach (36/39, 92%) and would recommend it to others (32/39, 82%). At 6 months, self-reported 7-day point prevalence abstinence rates were 25% (5/20) in the intervention arm and 15% (3/20) in the control arm, with biochemically verified abstinence rates of 25% (5/20) and 5% (1/20), respectively.

Conclusions: WeChat Quit Coach was feasible and well-received by Chinese immigrants who smoke and produced promising effects on abstinence. Large trials are warranted to assess its efficacy in promoting abstinence in this underserved population.

Trial Registration: ClinicalTrials.gov NCT05130788; https://clinicaltrials.gov/study/NCT05130788

JMIR Mhealth Uhealth 2024;12:e59496

doi:10.2196/59496

Keywords



The prevalence of smoking has declined significantly in the United States over the past 50 years [1]. However, smoking rates remain disproportionately high in socioeconomically disadvantaged populations, including Chinese immigrants (foreign-born Chinese Americans). In New York City (NYC), the city with the largest Chinese immigrant population in the United States, 28% of Chinese American men smoke compared with 18% of the total NYC men [2]. Chinese immigrants, accounting for 68% of the NYC Chinese American population, are more likely to smoke than US-born Chinese Americans (New York City Department of Health and Mental Hygiene, unpublished data, 2018).

Culturally adapted tobacco treatments for Chinese immigrants are sparse [3,4] and the use is low. For example, the National Asian Smokers’ Quitline (ASQ) engages only about 2000 Asian American callers nationwide annually (the number of Chinese-speaking callers is unknown) [5]. The low use of tobacco treatment programs is attributed to 2 major reasons. First, current tobacco treatment programs are designed to offer cessation support to individuals who are ready to quit smoking (ie, they plan to quit within a month). However, only 6%-33% of Chinese Americans who smoke are ready to quit [6-8]. This is largely due to the limited knowledge about the harms of smoking, strong attachment to traditional Chinese prosmoking norms, lack of behavioral capability for quitting, limited social support to facilitate cessation, and low self-efficacy [9-13]. Current tobacco treatment programs often provide no support to move the vast majority of individuals not ready to quit to the stage of being ready to quit. Second, Chinese immigrants have limited access to evidence-based tobacco treatments. Access barriers include limited awareness of treatment resources, skepticism about treatment effects, and time and economic constraints [9-11,14,15]. Less than 20% of Chinese American smokers who attempt to quit use pharmacotherapy or behavioral interventions [7,16]. Research is needed to explore intervention strategies that can engage a broad group of Chinese immigrant smokers, including those not ready to quit, and address the wide range of barriers to cessation.

Over the past decade, social media has been increasingly studied as a tool for tobacco treatment. Social media can reach large populations, allow users to access at their own time of convenience with low or no cost, and may alleviate access barriers to tobacco treatment. A total of 2 systematic reviews have provided evidence supporting the feasibility and acceptability of social media–based smoking cessation interventions [17,18]. In addition, 2 randomized controlled trials (RCTs) conducted among English-speaking smokers compared social media–based tobacco treatment with other cessation support [19,20]. Both interventions feature peer group messaging support, with mixed findings, for example, a Facebook (Meta)–based intervention resulted in abstinence rates comparable to the control at 3, 6, and 12 months [19], whereas a Twitter-based intervention yielded a higher abstinence rate than the control on day 60 [20].

A total of 3 RCTs among Chinese-speaking smokers in Hong Kong [21] and mainland China [22,23] compared WhatsApp (Meta)–based or WeChat (Tencent Holdings Limited)–based interventions with usual cessation care or no tobacco treatment, all using a one-on-one intervention model. A WhatsApp-based intervention led to higher abstinence than the control at 6 months (8% vs 5% biochemically validated 7-day point prevalence abstinence) [21]. A WeChat-based intervention also produced higher abstinence than the control at 26 weeks (12% vs 3% biochemically validated continuous abstinence) [23], but the trial only included individuals ready to quit. Another trial of a WeChat-based intervention did not report any abstinence outcomes [22]. Thus far, the impact of using social media to engage and treat smokers, particularly those not ready to quit, is still unclear.

To reduce tobacco use among Chinese immigrants, our multidisciplinary team developed a culturally and linguistically appropriate social media intervention named WeChat Quit Coach for Chinese immigrants who smoke, across all levels of readiness to quit. Informed by the social cognitive theory and the socioecological model, WeChat Quit Coach addresses multilevel barriers to cessation [24]. The intervention features small, private peer groups moderated by a coach, daily WeChat text messages with text questions, and chat-based instant messaging support from the coach responding to peer questions. By using WeChat, the most widely used social media platform among Chinese with approximately 1.3 billion monthly active users worldwide [25], WeChat Quit Coach holds the potential to reach a large population of Chinese immigrants. In our previous study, we found that 94% of Chinese immigrants who smoke in NYC use WeChat, and that WeChat is used more frequently than other platforms, including Facebook, Twitter, WhatsApp, Line (Line Corporation), and short messaging [10]. This study sought to assess the feasibility, acceptability, and preliminary effects of WeChat Quit Coach among Chinese immigrants who smoke.


Ethics Approval

The study was approved by the Institutional Review Board of New York University Grossman School of Medicine (i20-01959) and preregistered at ClinicalTrials.gov (NCT05130788).

Study Design

As shown in Figure 1, we conducted an open-label, 2-arm pilot RCT and a single-arm pilot test among 60 participants. The first 40 participants were enrolled in the pilot RCT. To obtain more data on feasibility and acceptability, we enrolled an additional 20 participants in a single-arm pilot test.

Figure 1. Study schema. RCT: randomized controlled trial.

Participants in the pilot RCT were randomized in a 1:1 ratio to the intervention (6-week WeChat Quit Coach) or control arm (self-help print material). Both arms received a 4-week supply of nicotine patches and lozenges by request. Research staff conducted in-person baseline assessment and follow-up phone assessments at 6 weeks and 6 months postintervention initiation and performed biochemical validation through exhaled carbon monoxide (CO) tests at both time points. Participants in the single-arm pilot test received the same treatment as the intervention arm (6-week WeChat Quit Coach and nicotine replacement therapy [NRT]) and completed an in-person baseline survey and a phone survey at 6 weeks. Participants received a US $20 gift card for each survey completed and an additional US $20 for completing each biochemical validation test, irrespective of the test result.

Participants and Recruitment

Participants were recruited from February to December 2022, primarily in 3 NYC communities that have high concentrations of Chinese immigrants, including Flushing (Queens, NY), Sunset Park (Brooklyn, NY), and Chinatown (Manhattan, NY). Inclusion criteria included (1) self-identified as a Chinese immigrant; (2) age ≥18 years; (3) had smoked at least 100 cigarettes in their lifetime; (4) smoked ≥3 days per week; (5) used WeChat ≥3 days per week; (6) able to read Chinese; (7) lived in NYC; and (8) was somewhat interested in quitting, which was assessed by a question, “Which statement best describes your intention to quit? (A) I don’t want to quit at all; (B) I may quit at some point, but not within the next 6 months; (C) I plan to quit within the next 6 months; (D) I plan to quit within the next 30 days; (E) I am trying to quit.” People who chose an answer other than “A” were considered to be somewhat interested in quitting. Exclusion criteria included (1) current participation in other tobacco treatments, (2) pregnancy or breastfeeding, and (3) inability to connect with research staff through WeChat.

In collaboration with community-based organizations (CBOs), we disseminated study flyers at community events (eg, CBOs’ workshops, health fairs, and immigrant resource fairs) and posted flyers in CBOs’ offices and on their WeChat accounts. The flyer contained information about the study purpose, a study WeChat QR code, and a study phone number. In addition, CBOs and study participants referred potential participants to the research staff.

Potential participants contacted our research staff by scanning the study WeChat QR code or calling the study number. The research staff conducted eligibility screenings over the phone and arranged an in-person study visit for eligible individuals. At the visit, the research staff administered the written consent process and a paper-and-pencil baseline survey. The first 40 participants were enrolled in the pilot RCT. The subsequent 20 participants were enrolled in the single-arm pilot test.

Randomization

A total of 40 participants were randomized to the intervention or control arm (n=20 per arm) using block randomization stratified by sex (male or female). A randomization module was created and uploaded into REDCap (Research Electronic Data Capture). The research staff performed the allocation. Participants and research staff were unblinded to the assignment.

Intervention Arm

The research staff created a WeChat peer group every other month. Each group comprised of participants newly enrolled during the 2-month period who were either randomized to the intervention arm or enrolled in the single-arm pilot test (4-10 participants per group), along with a coach (NJ) and a research assistant. During the 6-week intervention period, the coach sent a WeChat text message to the group every day at 9 AM. The messages aimed to (1) enhance motivation to quit by building awareness about the health effects of smoking, quitting methods (eg, quitting preparation and relapse prevention) and cognitive or behavioral tips (eg, coping and refusal strategies), and available Chinese-language tobacco treatment programs (eg, ASQ and local smoking cessation programs); (2) challenge social norms that perpetuate smoking by denormalizing cigarette sharing culture and highlighting the fact that most Chinese immigrants do not smoke; (3) improve self-efficacy through motivational contents and tips for handling slips; and (4) encourage NRT use by addressing misconceptions. Details about the development process of WeChat Quit Coach are available elsewhere [24].

Following the daily WeChat text message, a text question was sent to the WeChat group each day to promote engagement (eg, “What is the longest period you’ve stayed abstinent in previous quit attempts?”). Participants were encouraged to respond daily and ask their own questions either in the group or directly to the coach, who responded within 24 hours. Figure 2 shows a screenshot of the intervention. If a participant did not respond for 3 consecutive days, a reminder message was sent to him or her through WeChat by the research assistant. Each participant received up to 3 reminders during the intervention. Participants could comment on others’ responses and withdraw from the intervention at any time. The research assistant moderated peer interactions and monitored engagement.

Figure 2. A screenshot of the WeChat Quit Coach intervention.

Control Arm

Participants allocated to the control arm received a leaflet with information about pharmacotherapy and behavioral interventions for smoking cessation, including the ASQ and local Chinese-language tobacco treatment programs.

NRT Supply

All 60 participants were offered a 4-week supply of free nicotine patches and lozenges. The participants could request NRT medications by texting the study WeChat account or calling the study number, with research staff screening for contraindications over the phone. If no contraindication was reported, participants were recommended a combination of nicotine patches and lozenges with doses as per package instructions. Participants could choose the form (eg, patch, lozenge, or both) and request a lower dose. NRT medications and an instruction sheet (Chinese version) were then delivered by mail or in person.

Key Measures

Primary outcomes included feasibility, engagement, and acceptability. Feasibility was measured by eligibility rate (defined as the proportion of individuals screened who were eligible), enrollment rate (the proportion of eligible individuals who enrolled), follow-up rate (the proportion of participants who completed follow-up assessment at each time point), and the number of withdrawals. Engagement and acceptability were assessed at 6 weeks among participants from the intervention arm and the single-arm pilot test. Engagement was defined as the number of days participants responded to text questions and the number of participants who posted their own questions for instant messaging support. Acceptability was assessed through Likert scale questions regarding participants’ perceptions about the intervention (eg, the timing of text messages and length of the intervention), helpfulness of intervention components (ie, text messages, text questions, and chat-based instant messaging support), overall satisfaction, and willingness to recommend it to others.

Secondary outcomes, assessed at 6 weeks and 6 months in the pilot RCT, included self-reported and biochemically verified 7-day point prevalence abstinence (yes or no). Participants reporting abstinence in the past 7 days were invited to participate in an exhaled CO test administered by research staff. A CO concentration of ≤6 parts per million indicated biochemically verified abstinence [26]. Additional outcomes encompassed quit attempts (yes or no; defined as no smoking for at least 24 hours because of trying to quit), change in smoking knowledge score, progression to a more advanced stage of change (yes or no), NRT use (yes or no), and use of other tobacco treatment (yes or no). Smoking knowledge was assessed using a 5-item measure adapted from the Global Adult Tobacco Survey [27], “Based on what you know, does smoking cigarettes cause (1) respiratory diseases, (2) lung cancer, (3) coronary heart disease, (4) stroke, (5) diabetes?” (0=“no” or “not sure”; 1=“yes”). The score of smoking knowledge was the sum of the points (ranging between 0 and 5). The stage of change was assessed by a question “Which statement best describes your plan about quitting?” with answer options of 1=“I am not interested in quitting at all” (precontemplation), 2=“I may quit in the future, but not in the next 6 months” (precontemplation), 3=“I plan to quit within the next 6 months” (contemplation), 4=“I plan to quit within the next 30 days” (preparation), and 5=“I am trying to quit now” (action). Participants reporting a more advanced stage of change at follow-up, compared with baseline, were deemed to have transitioned to a more advanced stage.

Other measures included sociodemographic characteristics (eg, age, gender, education, birth country, years of residence in the United States, marital and employment status, and household income level), smoking behaviors (eg, age of smoking initiation, number of smoking days per week, cigarette consumption per day, time to first cigarette in the morning, and current use of other tobacco products), quitting experience (eg, quit attempts in the past 12 months, reasons for past quit attempts, and quitting methods ever used), and smoke-free home rule (“Which statement best describes the rule about smoking inside your home? (1) Smoking is not allowed anywhere in my home [complete rule]; (2) Smoking is allowed in some places or at some times in my home [partial rule]; (3) Smoking is allowed anywhere in my home [no rule]; (4) There are no rules about smoking in my home [no rule]” [28]).

Statistical Analysis

We performed descriptive statistics to summarize the variables of interest. Secondary outcomes were assessed using an intention-to-treat approach, with missing data treated as no change compared with baseline. To compare the differences between intervention and control arms, effect size estimates were computed, including odds ratios for categorical variables (eg, self-reported and biochemically validated abstinence) and Hedges g for the continuous variable (ie, smoking knowledge score) and their 95% CIs. For variables containing zero count cells, odds ratios and 95% CIs were not reported. All data analyses were performed using Stata 17 (StataCorp LLC).


Feasibility

Of the 74 potential participants screened, 68 (92%) were eligible, and 60 (88%) enrolled, with no withdrawals. For the pilot RCT, follow-up rates were 98% (39/40 participants) at 6 weeks and 93% (37/40) at 6 months. The single-arm test achieved 100% follow-up at 6 weeks.

Sample Characteristics

On average, participants were 42.5 (SD 13.8) years old and had resided in the United States for 13.1 (SD 7.7) years (Table 1). Most were male (49/60, 82%), born in mainland China (58/60, 97%), and employed full-time (41/60, 68%). Out of 60, 15 participants (25%) had a middle school education (comparable to US 9th grade) or lower, and 28 participants (47%) reported an annual household income of US $55,000 or less.

Table 1. Characteristics of study participants at baseline (N=60).
CharacteristicsPilot RCTaSingle-arm pilot test (n=20)Total (N=60)

Intervention (n=20)Control (n=20)

Age (years), mean (SD)45.5 (13.5)42.5 (14.8)39.6 (13.2)42.5 (13.8)
Male, n (%)14 (70)15 (75)20 (100)49 (82)
Years of residence in the United States, mean (SD)13.5 (7.7)12.5 (5.1)13.3 (9.9)13.1 (7.7)
Place of birth, n (%)

Mainland China19 (95)20 (100)19 (95)58 (97)

Other1 (5)0 (0)1 (5)2 (3)
Education, n (%)

Middle school or less5 (25)5 (25)5 (25)15 (25)

High school or vocational high school5 (25)7 (35)8 (40)20 (33)

Some college, no degree or associate degree4 (20)2 (10)2 (10)8 (13)

Bachelor’s or advanced degree6 (30)6 (30)5 (25)17 (28)
Marital status, n (%)

Single, never married5 (25)2 (10)9 (45)16 (27)

Married, living with a spouse9 (45)13 (65)11 (55)33 (55)

Married, living apart with spouse1 (5)2 (10)0 (0)3 (5)

Divorced5 (25)3 (15)0 (0)8 (13)
Employment status, n (%)

Full-time employed14 (70)11 (55)16 (80)41 (68)

Part-time employed1 (5)5 (25)2 (10)8 (13)

Other5 (25)4 (20)2 (10)11 (18)
Annual household income level, n (%)

Less than US $25,0006 (30)5 (25)2 (10)13 (22)

US $25,000-US $55,0005 (25)5 (25)5 (25)15 (25)

More than US $55,0006 (30)5 (25)2 (10)13 (22)

Not reported or not sure3 (15)5 (25)11 (55)19 (32)
Age of smoking initiation (years), mean (SD)19.4 (8.4)17.2 (4.1)17 (4.3)17.9 (5.9)
Current smoking status, n (%)

Daily smoker16 (80)15 (75)16 (80)47 (78)

Nondaily smoker4 (20)5 (25)4 (20)13 (22)
Cigarette consumption per day, mean (SD)15.5 (10)9.4 (6.4)11.2 (6)12.0 (8)
Time to first cigarette in the morning, n (%)

≤5 minutes9 (45)2 (10)3 (15)14 (23)

6-30 minutes2 (10)6 (30)6 (30)14 (23)

31-60 minutes2 (10)1 (5)4 (20)7 (12)

>60 minutes6 (30)5 (25)5 (25)16 (27)

No pattern or not sure1 (5)6 (30)2 (20)9 (15)
Current e-cigarette use, n (%)5 (25)8 (40)10 (50)23 (38)
Smoke-free home rule, n (%)

Complete rule9 (45)10 (50)13 (65)32 (53)

Partial rule3 (15)6 (30)2 (10)11 (18)

No rule8 (40)4 (20)5 (25)17 (28)
Smoking knowledge score, mean (SD)2.1 (1.6)1.9 (1.3)2.3 (1.8)2.1 (1.6)
Quit attempts in the past 12 months, n (%)10 (50)5 (25)8 (40)23 (38)
Ever use of evidence-based tobacco treatmentb, n (%)3 (15)3 (15)5 (25)11 (18)

Used tobacco treatment clinics or programs0 (0)0 (0)1 (5)1 (2)

Consulted a family doctor0 (0)1 (5)0 (0)1 (2)

Nicotine replacement therapy3 (15)3 (15)4 (20)10 (17)

Other smoking cessation medications0 (0)0 (0)0 (0)0 (0)

Called a quitline0 (0)0 (0)0 (0)0 (0)
Reasons for past quit attemptsb, n (%)

Concern for my health14 (70)13 (65)13 (65)40 (67)

Concern for other’s health4 (20)2 (10)4 (20)10 (17)

Family or roommate against smoking5 (25)1 (5)4 (20)10 (17)

Smoking is not allowed in my home1 (5)0 (0)1 (5)2 (3)

Smoking is not allowed in my workplace3 (15)1 (5)2 (10)6 (10)

To set a good example for my child3 (15)3 (15)1 (5)7 (12)

To save money1 (5)1 (5)1 (5)3 (5)

Other reasons0 (0)1 (5)3 (15)4 (7)
Stage of change, n (%)

Precontemplation11 (55)9 (45)4 (20)24 (40)

Contemplation4 (20)5 (25)9 (45)18 (30)

Preparation3 (15)2 (10)5 (25)10 (17)

Action2 (10)4 (20)2 (20)8 (13)

aRCT: randomized controlled trial.

bMultiple responses, do not add up to 100%.

In total, 47 out of 60 participants (78%) reported daily smoking. On average, participants started smoking at 17.9 (SD 5.9) years old, smoked 12 (SD 8) cigarettes per day, and had a smoking knowledge score of 2.1 (SD 1.6). Participants were predominantly not ready to quit (42/60, 70% in precontemplation or contemplation stage). While 23 out of 60 participants (38%) reported current e-cigarette use, no participants reported current use of hookah, cigars, or smokeless tobacco (data not shown). Out of 60, 32 participants (53%) reported having a complete smoke-free home rule, 23 participants (38%) reported past 12-month quit attempts, and 11 participants (18%) had used evidence-based tobacco treatment, including 10 participants (17%) used NRT, 1 participant (2%) consulted a doctor, and 1 participant (2%) sought help from a smoking cessation program. None reported ever calling a quitline.

Engagement and Acceptability

On average, participants responded to WeChat text questions on 25.1 (SD 11) days out of 42 days (median 26.5, IQR 19-33 days). Reportedly, 9 out of 40 participants (23%) sent their own questions to receive chat-based instant messaging support from the coach. In total, 3 out of 40 participants (8%) interacted with peers. One of the participants commented on another’s responses to a text question, while 2 participants each posted a message to communicate with the entire peer group.

Of the 39 participants who completed the 6-week follow-up assessment, 36 participants (92%) were satisfied or very satisfied with the intervention (Table 2). Participants predominantly agreed that WeChat Quit Coach enhanced their motivation to quit (35/39, 90%), increased awareness about how to quit (34/39, 87%), and promoted confidence in quitting (32/39, 82%). Most (32/39, 82%) would recommend the intervention to others, while 8 out of 39 participants (21%) indicated the intervention duration was too short. When asked about perceptions about the intervention, 34 out of 39 participants (87%) agreed that text messages were helpful, 33 participants (85%) indicated that text questions were helpful, and 25 participants (64%) found it enjoyable to answer text questions. Of the 9 who sent their own questions for instant messaging support, 7 participants (78%) reported such support was helpful.

Table 2. Acceptability of WeChat Quit Coach among participants (n=39).
PerceptionsParticipants, n (%)
Daily text messages

Timing of text messages


Too early5 (13)


Too late0 (0)


Just right21 (54)


Does not matter13 (33)

Length of text messages


Appropriate29 (74)


Too long5 (13)


Other5 (13)

Do you find text messages helpful?”


Helpful or very helpful34 (87)


Neither helpful nor unhelpful4 (10)


Unhelpful or very unhelpful1 (3)

In general, the messages are easy to understand.”


Agree or strongly agree36 (92)


Neither agree nor disagree3 (8)


Disagree or strongly disagree0 (0)

Ever showed or sent text messages to others10 (26)
Daily text questions

Do you enjoy responding to the text questions?”


Enjoy or very much enjoy25 (64)


Neutral11 (28)


Do not enjoy3 (8)

Do you find text questions helpful?”


Helpful or very helpful33 (85)


Neither helpful nor unhelpful4 (10)


Unhelpful or very unhelpful2 (5)
Chat-based instant messaging supporta

Do you find the instant messaging support helpful?”


Helpful or very helpful7 (78)


Neither helpful nor unhelpful2 (22)


Unhelpful or very unhelpful0 (0)
Overall intervention

Satisfaction with the intervention


Satisfied or very satisfied36 (92)


Neither satisfied nor dissatisfied3 (78)


Dissatisfied or very dissatisfied0 (0)

Agree or strongly agree with the statements


“It makes me want to quit smoking.”35 (90)


“It is helpful for quitting smoking.”32 (82)


“It makes me feel more confident that I can quit.”32 (82)


“It makes me feel I knew how to quit.”34 (87)


“It makes me want to try again if a quit attempt is unsuccessful.”30 (77)

Length of the intervention (6 weeks)


Appropriate30 (77)


Too short8 (21)


Too long1 (2)

Would recommend the intervention to others


Definitely yes13 (33)


Probably yes19 (49)


Probably no5 (13)


Definitely no2 (5)

aAmong participants who sent in their own questions to receive chat-based instant messaging support (n=9).

Cessation Outcomes

At 6 weeks, 20% (4/20) of intervention participants reported 7-day point prevalence abstinence and were validated biochemically (Table 3). None of the control participants reported abstinence. At 6 months, 25% (5/20) of intervention participants reported abstinence and were validated, while 15% (3/20) of control participants reported abstinence and only 5% (1/20) were validated.

Table 3. Intention-to-treat analyses of preliminary effects of WeChat Quit Coach (n=40).

6 weeks6 months

Intervention armControl armEffect size estimatesa, ORb or Hedges g (95% CI)Intervention armControl armEffect size estimatesa, OR or Hedges g (95% CI)
Self-reported 7-day point prevalence abstinence, n (%)4 (20)0 (0)c5 (25)3 (15)OR 1.89 (0.38-9.27)
Biochemically verified 7-day point prevalence abstinence, n (%)4 (20)0 (0)5 (25)1 (5)OR 6.33 (0.67-60.16)
Quit attempts, n (%)11 (55)7 (35)OR 2.27 (0.54-9.82)15 (75)13 (65)OR 0.62 (0.16-2.43)
Change in smoking knowledge score, mean (SD)1.6 (1.6)0.3 (1.0)Hedges g 1.10 (0.45-1.79)
Transition to a more advanced stage of changed, n (%)8 (40)0 (0)7 (35)5 (25)OR 1.62 (0.41-6.34)
Use of NRTe, n (%)11 (55)14 (70)OR 0.52 (0.12-2.3)11 (55)14 (70)OR 0.52 (0.12-2.3)
Use of other tobacco treatment programs, n (%)0 (0)0 (0)0 (0)0 (0)

aFor categorical variables, we computed the odds ratio and its 95% CI; for the continuous variable, we computed the Hedges g and its 95% CI.

bOR: odds ratio.

cNot applicable.

dCompared with baseline.

eNRT: nicotine replacement therapy.

Compared with baseline, intervention participants showed an average increase of 1.6 (SD 1.6) points in smoking knowledge at 6 weeks, while the score remained unchanged (mean -0.3, SD 1 points) for control participants. At both follow-up time points, more intervention participants reported quit attempts and progressed to a more advanced stage of change, while more control participants requested NRT during the study period than intervention participants (17/20, 85% vs 16/20, 80%; data not shown in tables) and reported NRT use at both follow-ups (14/20, 70% vs 11/20, 55%).


This is the first study of a social media–based smoking cessation intervention targeting Chinese immigrants. The sociodemographic characteristics of our participants correspond to the overall population traits of Chinese immigrants in NYC, including low income and low education [29]. The study demonstrates the feasibility and acceptability of a WeChat-based smoking cessation intervention and shows promising early efficacy on biochemically verified abstinence at 6 months.

It was found that 70% (42/60) of the participants were in the precontemplation or contemplation stage at enrollment. It suggests that the intervention is attractive to participants, including those not determined to quit in the near term. WeChat Quit Coach targets individuals at all levels of readiness to quit and is implemented through a platform deeply integrated into the daily lives of Chinese immigrants. The intervention has the potential to extend the reach of tobacco treatment within this population.

WeChat Quit Coach created favorable user experiences, as indicated by high levels of acceptability and engagement. Participants were overwhelmingly satisfied with the intervention. The interaction feature (daily text questions) was deemed enjoyable and helpful overall, resulting in a high engagement level compared with other social media peer group cessation interventions [20,30]. It is encouraging that participants post their own questions to receive instant messaging support, resulting in a usage rate (23%) comparable to that of a WhatsApp-based one-on-one cessation intervention for smokers in Hong Kong, which also features instant messaging support (17%) [21]. The results suggest that our intervention generally aligns with the needs of Chinese immigrant smokers. In total, 8 of the 39 participants (21%) reported the intervention was too short, highlighting opportunities for further refinement.

WeChat Quit Coach appears to be promising in promoting abstinence, with a biochemically verified abstinence rate of 25% at 6 months, which is higher than those reported in previous trials of social media interventions for Chinese-speaking smokers in Hong Kong (8% vs 5% biochemically validated 7-day point prevalence abstinence at 6 months [21]) and China (12% vs 3% biochemically validated continuous abstinence at 26 weeks [23]). Other outcomes, including quit attempts and smoking knowledge, were also higher in the intervention arm than control. Larger trials are needed to evaluate the impact of such intervention on abstinence among Chinese immigrants.

A noteworthy finding is that 55% (11/20) of intervention participants and 70% (14/20) of control participants reported NRT use. The high use of NRT could be attributed to the availability of complimentary NRT and the convenient process to request NRT. Chinese immigrants have limited awareness and hold widespread misconceptions about NRT despite its over-the-counter availability [10,14]. Moreover, Chinese immigrants have a high poverty rate compared with immigrants overall in the United States [31]. These factors contribute to the underuse of NRT. Our study indicates that Chinese immigrant smokers are receptive to using NRT when access barriers (eg, cost) are minimized. Our intervention might be more successful in promoting NRT use if cues to try NRT were added to our message library.

This study has several strengths. It is the first to explore a social media–based smoking cessation intervention for Chinese immigrants, a disadvantaged population with high smoking rates. It tests an innovative intervention using a culturally appropriate platform. The study fills gaps in research on tobacco-related disparities and the application of mobile technology for tobacco treatment. It also benefits from the inclusion of both individuals who are ready to quit and those not ready to quit, high follow-up rates, biochemically validated abstinence, and provision of NRT. This study has several limitations. First, as a pilot study aiming to test the feasibility, acceptability, and preliminary effects of our intervention, it was not adequately powered to assess treatment efficacy on abstinence. Second, participants were recruited from NYC, thus limiting the generalizability of our findings to other geographic regions.

This study supports the feasibility of a WeChat-based smoking cessation intervention for recruiting Chinese immigrant smokers across different levels of readiness to quit. The high levels of engagement, acceptability, and promising abstinence outcomes suggest that the intervention may be viable for this population. Larger trials are warranted to determine its efficacy.

Acknowledgments

We sincerely thank Professor Brian D Elbel (New York University Grossman School of Medicine) for the crucial support in securing approval from the Institutional Review Board for this research project. This work was supported by the National Institute on Minority Health and Health Disparities at the National Institutes of Health (K01MD014165) and New York University Grossman School of Medicine’s Department of Population Health (Global Health Pilot Grant Funding Award). The funding organizations played no role in study design, data collection and analysis, manuscript writing, or the decision to submit the paper for publication.

Data Availability

The data sets generated during and/or analyzed during this study are available from the corresponding author on reasonable request.

Authors' Contributions

All authors contributed to the writing-review and editing. NJ, APC, and SES performed conceptualization. AZ and NJ performed and contributed to the investigation, data curation, and writing the original draft. KS and NJ performed formal analysis. SES and NJ performed the methodology and supervision. NJ handled the funding acquisition, project administration, validation, and visualization, and managed resources and software.

Conflicts of Interest

None declared.

Multimedia Appendix 1

CONSORT-EHEALTH (Consolidated Standards of Reporting Trials of Electronic and Mobile Health Applications and Online Telehealth) Checklist.

PDF File (Adobe PDF File), 2987 KB

  1. The Health Consequences of Smoking: 50 Years of Progress. A Report of the Surgeon General. Atlanta, GA. Centers for Disease Control and Prevention; 2014.
  2. Smoking among New York City men and boys. New York City Department of Health and Mental Hygiene. Jun 2018. URL: https://www1.nyc.gov/assets/doh/downloads/pdf/epi/databrief103.pdf [accessed 2019-03-02]
  3. Chen M, Tang H. Review of smoking cessation research among Asian Americans: the state of the research. Nicotine Tob Res. 2007;9 Suppl 3:485-493. [CrossRef] [Medline]
  4. Liu JJ, Wabnitz C, Davidson E, Bhopal RS, White M, Johnson MR, et al. Smoking cessation interventions for ethnic minority groups--a systematic review of adapted interventions. Prev Med. 2013;57(6):765-775. [CrossRef] [Medline]
  5. Chen C, Anderson CM, Babb SD, Frank R, Wong S, Kuiper NM, et al. Evaluation of the Asian smokers' quitline: a centralized service for a dispersed population. Am J Prev Med. Mar 2021;60(3 Suppl 2):S154-S162. [FREE Full text] [CrossRef] [Medline]
  6. Ma GX, Tan Y, Toubbeh J, Su X. Differences in stages of change of smoking behavior among current smokers of four Asian American subgroups. Addict Behav. 2003;28(8):1431-1439. [CrossRef] [Medline]
  7. Fu S, Ma G, Tu X, Siu P, Metlay J. Cigarette smoking among Chinese Americans and the influence of linguistic acculturation. Nicotine Tob Res. 2003;5(6):803-811. [CrossRef] [Medline]
  8. Shelley D, Fahs M, Scheinmann R, Swain S, Qu J, Burton D. Acculturation and tobacco use among Chinese Americans. Am J Public Health. 2004;94(2):300-307. [CrossRef] [Medline]
  9. Spence W, Zhu L. Perceptions of smoking cessation among Glasgow's Chinese community. Tob Prev Cessat. 2017;3:127. [FREE Full text] [CrossRef] [Medline]
  10. Jiang N, Zhang Y, Qian X, Thorpe L, Trinh-Shevrin C, Shelley D. Chinese immigrant smokers' access barriers to tobacco cessation services and experience using social media and text messaging. Tob Prev Cessat. 2020;6:52. [FREE Full text] [CrossRef] [Medline]
  11. Spigner C, Yip M, Huang B, Tu SP. Chinese and Vietnamese adult male smokers' perspectives regarding facilitators of tobacco cessation behavior. Asian Pac J Cancer Prev. 2007;8(3):429-435. [FREE Full text] [Medline]
  12. Ma G, Shive S, Ma X, Toubbeh J, Tan Y, Lan Y, et al. Social influences on cigarette smoking among mainland Chinese and Chinese Americans: a comparative study. Am J Health Stud. 2013;28(1):12-20. [FREE Full text] [Medline]
  13. Kwong K, Ferketich AK, Wewers ME, Shek A, Tsang T, Tso A. Development and evaluation of a physician-led smoking cessation intervention for low-income Chinese Americans. J Smok Cessat. 2012;4(2):92-98. [CrossRef]
  14. Tsang IK, Tsoh JY, Wong C, Le K, Cheng JW, Nguyen AN, et al. Understanding and use of nicotine replacement therapy and nonpharmacologic smoking cessation strategies among Chinese and Vietnamese smokers and their families. Prev Chronic Dis. 2014;11:E26. [FREE Full text] [CrossRef] [Medline]
  15. Katigbak C, Maglalang DD, Chao Y, Au H, Liang W, Zuo S. Cultural perspectives on tobacco use and cessation among Chinese American immigrants: a community-engaged qualitative study. J Transcult Nurs. 2018;30(4):350-358. [CrossRef]
  16. Yu ESH, Chen EH, Kim KK, Abdulrahim S. Smoking among Chinese Americans: behavior, knowledge, and beliefs. Am J Public Health. 2002;92(6):1007-1012. [CrossRef] [Medline]
  17. Naslund JA, Kim SJ, Aschbrenner KA, McCulloch LJ, Brunette MF, Dallery J, et al. Systematic review of social media interventions for smoking cessation. Addict Behav. 2017;73:81-93. [FREE Full text] [CrossRef] [Medline]
  18. Luo T, Li M, Williams D, Phillippi S, Yu Q, Kantrow S, et al. Using social media for smoking cessation interventions: a systematic review. Perspect Public Health. 2021;141(1):50-63. [CrossRef] [Medline]
  19. Ramo DE, Thrul J, Delucchi KL, Hall S, Ling PM, Belohlavek A, et al. A randomized controlled evaluation of the tobacco status project, a Facebook intervention for young adults. Addiction. 2018;113:1683-1695. [FREE Full text] [CrossRef] [Medline]
  20. Pechmann C, Delucchi K, Lakon CM, Prochaska JJ. Randomised controlled trial evaluation of Tweet2Quit: a social network quit-smoking intervention. Tob Control. 2017;26(2):188-194. [FREE Full text] [CrossRef] [Medline]
  21. Wang MP, Luk TT, Wu Y, Li WH, Cheung DY, Kwong AC, et al. Chat-based instant messaging support integrated with brief interventions for smoking cessation: a community-based, pragmatic, cluster-randomised controlled trial. Lancet Digit Health. 2019;1(4):e183-e192. [FREE Full text] [CrossRef] [Medline]
  22. Luo T, Li MS, Williams D, Fritz J, Phillippi S, Yu Q, et al. Implementation of a WeChat-based smoking cessation program for chinese smokers. Int J Environ Res Public Health. Oct 25, 2021;18(21):11189. [FREE Full text] [CrossRef] [Medline]
  23. Tang J, Yang J, Liu Y, Liu X, Li L, Sun Y, et al. Efficacy of WeChat-based online smoking cessation intervention ('WeChat WeQuit') in China: a randomised controlled trial. EClinicalMedicine. 2023;60:102009. [FREE Full text] [CrossRef] [Medline]
  24. Jiang N, Rogers ES, Cupertino P, Zhao X, Cartujano-Barrera F, Lyu JC, et al. Development of a WeChat-based mobile messaging smoking cessation intervention for Chinese immigrant smokers: qualitative interview study. JMIR Form Res. 2022;6(6):e36091. [FREE Full text] [CrossRef] [Medline]
  25. Number of monthly active WeChat users from 3rd quarter 2013 to 3rd quarter 2023 (in millions). Statista. URL: https://www.statista.com/statistics/255778/number-of-active-wechat-messenger-accounts/ [accessed 2023-12-16]
  26. Benowitz N, Bernert J, Foulds J, Hecht S, Jacob P, Jarvis MJ, et al. Biochemical verification of tobacco use and abstinence: 2019 update. Nicotine Tob Res. 2020;22(7):1086-1097. [FREE Full text] [CrossRef] [Medline]
  27. Noncommunicable disease surveillance, monitoring and reporting: global adult tobacco survey. WHO. 2020. URL: https:/​/www.​who.int/​teams/​noncommunicable-diseases/​surveillance/​systems-tools/​global-adult-tobacco-survey/​questionnaire [accessed 2022-03-31]
  28. Kegler MC, Bundy L, Haardörfer R, Escoffery C, Berg C, Yembra D, et al. A minimal intervention to promote smoke-free homes among 2-1-1 callers: a randomized controlled trial. Am J Public Health. 2015;105(3):530-537. [CrossRef] [Medline]
  29. Wang A. Chinese in NYC: a profile. Asian American Federation. 2022. URL: https://www.aafederation.org/research/chinese-in-nyc-a-profile/ [accessed 2023-04-26]
  30. Ramo DE, Thrul J, Chavez K, Delucchi KL, Prochaska JJ. Feasibility and quit rates of the tobacco status project: a Facebook smoking cessation intervention for young adults. J Med Internet Res. 2015;17(12):e291. [FREE Full text] [CrossRef] [Medline]
  31. Rosenbloom R, Batalova J. Chinese immigrants in the United States. Migration Policy Institute. 2023. URL: https://www.migrationpolicy.org/article/chinese-immigrants-united-states [accessed 2023-03-18]


ASQ: Asian Smokers’ Quitline
CBO: community-based organization
CO: carbon monoxide
NRT: nicotine replacement therapy
NYC: New York City
RCT: randomized controlled trial
REDCap: Research Electronic Data Capture


Edited by L Buis; submitted 13.04.24; peer-reviewed by TT Luk, H Meng, YS Wu; comments to author 09.05.24; revised version received 31.05.24; accepted 05.06.24; published 22.07.24.

Copyright

©Nan Jiang, Ariel Zhao, Erin S Rogers, Ana Paula Cupertino, Xiaoquan Zhao, Francisco Cartujano-Barrera, Katherine Siu, Scott E Sherman. Originally published in JMIR mHealth and uHealth (https://mhealth.jmir.org), 22.07.2024.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on https://mhealth.jmir.org/, as well as this copyright and license information must be included.