Hostname: page-component-8448b6f56d-jr42d Total loading time: 0 Render date: 2024-04-16T14:23:45.850Z Has data issue: false hasContentIssue false

A three-arm randomised controlled trial to evaluate the efficacy of a positive psychology and social networking intervention in promoting mental health among HIV-infected men who have sex with men in China

Published online by Cambridge University Press:  19 March 2021

J. Li
Affiliation:
School of Public Health, Sun Yat-Sen University, Guangzhou, China
P. K. H. Mo
Affiliation:
Division of Behavioral Health and Health Promotion, The School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong The Chinese University of Hong Kong Shenzhen Research Institute, Shenzhen, China
C. W. Kahler
Affiliation:
Department of Behavioral and Social Sciences, Brown University School of Public Health, USA
J. T. F. Lau*
Affiliation:
Division of Behavioral Health and Health Promotion, The School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong The Chinese University of Hong Kong Shenzhen Research Institute, Shenzhen, China Centre for Medical Anthropology and Behavioral Health, Sun Yat-sen University, Guangzhou, China
*
Author for correspondence: J. T. F. Lau, E-mail: jlau@cuhk.edu.hk
Rights & Permissions [Opens in a new window]

Abstract

Aims

There is a lack of mental health promotion and treatment services targeting HIV-positive men who have sex with men (HIVMSM) in China. The aim of this study was to evaluate the mental health promotion efficacy of an online intervention that combined Three Good Things (TGT) with electronic social networking (TGT-SN) and an intervention that used TGT only (TGT-only), compared with a control group.

Methods

We conducted a randomised controlled trial among HIVMSM in Chengdu, China. The participants were randomly assigned to the TGT-SN, TGT-only, and control groups. The participants in the TGT-SN group were divided into five social network groups and asked to post brief messages to the group about three good things that they had experienced and for which they felt grateful. The participants in the TGT-only group were only required to write down their three good things daily without sharing them with others. The control group received information about mental health promotion once a week for a month. The primary outcome was probable depression. Secondary outcomes were anxiety, positive and negative affect, gratitude, happiness and social support. These outcomes were assessed at baseline, 1, 3, 6 and 12 months after the intervention. Repeated-measures analyses were conducted using generalised estimation equations. The study was registered with the Chinese Clinical Trial Registry (ChiCTR-TRC-13003252).

Results

Between June 2013 and May 2015, 404 participants were enrolled and randomly assigned to either the TGT-SN (n = 129), TGT-only (n = 139) or control group (n = 136). The main effects of TGT-SN (adjusted odds ratio (aOR) = 0.75, 95% CI 0.52–1.09; p = 0.131) and TGT-only (aOR = 0.83, 95% CI 0.57–1.21; p = 0.332) in reducing depression were statistically non-significant. The participants of the TGT-SN group showed significantly lower anxiety symptoms (aOR = 0.62, 95% CI 0.43–0.89; p = 0.009) and negative affect (β = −1.62, 95% CI 2.98 to −0.26; p = 0.019) over time compared with those of the control group. No significant main effect was found for any secondary outcomes for the TGT-only group.

Conclusions

The novel intervention combining the TGT exercise with electronic social networking was found effective in reducing anxiety and negative affect among HIVMSM.

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press

Introduction

In China, the HIV epidemic among men who have sex with men (MSM) is worsening in all regions (Zhang et al., Reference Zhang, Chow, Jing, Zhuang, Li, He, Sun, Li, Gorgens, Wilson, Wang, Guo, Li, Cui, Wang, Wang, Wu and Wilson2013). In addition to life-threatening physical illnesses, HIV-positive men who have sex with men (HIVMSM) are exposed to severe stigma and numerous types of stressors, such as those related to relationship conflicts, finance and family problems (Thompson et al., Reference Thompson, Nanni and Levine1996; Berg et al., Reference Berg, Mimiaga and Safren2008), resulting in a high prevalence of mental health problems. The prevalence of depression among HIVMSM ranges from 35% to 49%, which is higher than that of people living with HIV (PLWH) in general and that of HIV-negative MSM (Mills et al., Reference Mills, Paul, Stall, Pollack, Canchola, Chang, Moskowitz and Catania2004; Comulada et al., Reference Comulada, Rotheram-Borus, Pequegnat, Weiss, Desmond, Arnold, Remien, Morin, Weinhardt, Johnson and Chesney2010; Bogart et al., Reference Bogart, Wagner, Galvan, Landrine, Klein and Sticklor2011; Sivasubramanian et al., Reference Sivasubramanian, Mimiaga, Mayer, Anand, Johnson, Prabhugate and Safren2011). Previous studies also have reported a high prevalence of anxiety symptoms among HIVMSM in China, ranging from 13.0 to 32.1% (He et al., Reference He, Wang, Zhang, Song, She, Dong, Qu and Sui2012; Wu et al., Reference Wu, Yang, Wang, Yao, Zhao, Chen, Ding, Zhang, Bi and Sun2014).

Psychological problems among PLWH have been shown to be significantly associated with a number of negative HIV-related health outcomes and high-risk behaviours, such as low service utilisation rate, poor adherence to antiretroviral therapy (ART), faster progression to AIDS and shorter survival (Perry and Fishman, Reference Perry and Fishman1993; Lyketsos et al., Reference Lyketsos, Hoover, Guccione, Dew, Wesch, Bing and Treisman1996; Cook et al., Reference Cook, Cohen, Burke, Grey, Anastos, Kirstein, Palacio, Richardson, Wilson and Young2002; Schuster et al., Reference Schuster, Bornovalova and Hunt2012), substance use, poor self-care (Gordillo et al., Reference Gordillo, Del Amo, Soriano and Gonzalez-Lahoz1999; Catz et al., Reference Catz, Kelly, Bogart, Benotsch and Mcauliffe2000; Langebeek et al., Reference Langebeek, Gisolf, Reiss, Vervoort, Hafsteinsdottir, Richter, Sprangers and Nieuwkerk2014) and risky sex (Parsons et al., Reference Parsons, Halkitis, Wolitski and Gomez2003), some of which potentially contribute to HIV transmission. There is, however, a large gap in mental health services, as most of the health workers serving PLWH in China are clinicians who have not been trained in psychology and counselling (Xiang and Wu, Reference Xiang and Wu2010). There is a large shortage of psychiatrists and clinical psychologists in China in general (Jacob et al., Reference Jacob, Sharan, Mirza, Garrido-Cumbrera, Seedat, Mari, Sreenivas and Andsaxena2007; Gao et al., Reference Gao, Jackson, Chen, Liu, Wang, Qian and Huang2010), and mental health support and treatments for PLWH, including HIVMSM, are limited in most parts of the country (Zhao et al., Reference Zhao, Li, Kaljee, Fang, Stanton and Zhang2009; Tao et al., Reference Tao, Gai, Zhang, Zheng, Zhang, Xu and Li2010). Effective, sustainable and low-cost mental health promotion interventions for HIVMSM are greatly needed.

Positive psychology-based approaches to mental health promotion have drawn increasing attention and empirical support. Positive psychology emphasises factors that are protective of mental health problems, such as optimism (Ironson et al., Reference Ironson, Balbin, Stuetzle, Fletcher, O'cleirigh, Laurenceau, Schneiderman and Solomon2005), positive affect (Moskowitz, Reference Moskowitz2003; Lyubomirsky et al., Reference Lyubomirsky, King and Diener2005a) and positive behaviours (e.g. expressing emotions and proactive coping). A variety of evidence-based positive psychological interventions (PPI), such as Random Acts of Kindness, Gratitude Visit, Using Signature Strengths and Three Good Things (TGT), have been developed (Emmons and McCullough, Reference Emmons and Mccullough2003; Lyubomirsky et al., Reference Lyubomirsky, Tkach and Sheldon2005b; Seligman et al., Reference Seligman, Steen, Park and Peterson2005; Sheldon and Lyubomirsky, Reference Sheldon and Lyubomirsky2006). Such interventions have been shown to be effective in reducing mental health problems and enhancing well-being among many diseased and non-diseased populations. This study used a TGT intervention, in which the participants were asked to write down three things that went well every day to express gratitude towards life in general. TGT is relatively easy to implement and has been widely used (Emmons and McCullough, Reference Emmons and Mccullough2003; Lyubomirsky et al., Reference Lyubomirsky, Tkach and Sheldon2005b; Seligman et al., Reference Seligman, Steen, Park and Peterson2005).

Previous studies have suggested that social networks can act as a social/peer support system to promote mental health at a low cost (Griffiths et al., Reference Griffiths, Lindenmeyer, Powell, Lowe and Thorogood2006; Proudfoot et al., Reference Proudfoot, Jayawant, Whitton, Parker, Manicavasagar, Smith and Nicholas2012). It has further been shown that happiness can be ‘transmitted’ from one person to another, up to three degrees of association, within social networks (Fowler and Christakis, Reference Fowler and Christakis2008). A specific aim of this study was to test whether the effects of PPI could be enhanced by combining PPI with social networking. There are several social networking systems in mainland China. Tencent QQ (known as QQ) is one of the most widely used and has multiple functions, such as one-to-one and group chat, blogs, and sharing photos, videos, notes and links. In Chengdu, China, it is estimated that over 85% of HIVMSM are using QQ. In this study, the intervention was thus implemented via QQ.

This study carried out a three-arm randomised controlled trial to evaluate the efficacy of an online intervention that combined TGT with electronic social networking (TGT-SN) and an intervention that used TGT only (TGT-only), compared with a control group that received weekly emails containing information on promoting mental health. We hypothesised that participation in TGT-SN and TGT-only, compared with a control group receiving information only, would result in lower depressive symptoms, anxiety symptoms, and negative affect, and higher levels of happiness, gratitude and positive affect, during the 12-month follow-up period. It was also hypothesised that the effect of TGT-SN on these outcomes would be stronger than that of TGT-only.

Methods

Participants

The participants were recruited in Chengdu, China, by four well-trained peer fieldworkers, who were staff of a local non-governmental organisation (NGO). The NGO was one of the largest gay organisations in China. The inclusion criteria were the following: (1) men who have had anal sex with at least one man in the last 6 months, (2) over 18 of age, (3) diagnosed as HIV-positive at least 3 months prior (as newly diagnosed PLWH tends to be unstable), (4) intending to stay in Chengdu for the coming 6 months, and (5) being a regular QQ user (i.e. using QQ at least once a week).

The exclusion criteria were as follows: (1) the presence of severe AIDS symptoms or other medical conditions, (2) having severe depression or suicidal ideation, (3) sharing their QQ account with others, and (4) utilising psychiatric services or psychological counselling or participating in other interventions at the time of recruitment or during the study period. The Patient Health Questionnaire (PHQ) (Bian et al., Reference Bian, Li, Duan and Wu2011) was used to screen for severe depression and suicidal ideation. The PHQ contains nine items, including one on suicidal ideation. Each item was rated on a four-point Likert scale, ranging from 0 = not at all to 3 = almost every day. A total score of 20 or higher represents the threshold for severe depression. In this study, those who scored 20 or higher, or those who scored 3 on the item on suicidal ideation, were excluded and referred to health care professionals.

Procedure

The participants were recruited from June 2013 through to May 2015, and follow-ups were conducted from September 2013 through to July 2016. The study was publicised through posters displayed in the public area of the NGO and on the social media of its service users. Four peer field workers approached prospective participants by making phone calls and/or reaching them through social media, briefed them about the study and logistics, and invited them to participate in the study after confirming their eligibility. Interested participants were invited to meet with the peer fieldworkers at the office of the NGO. The participants were informed that refusal would not affect their right to use any services and they could quit at any stage of the study without needing to give a reason. With written informed consent, anonymous face-to-face baseline interviews were conducted in a private room, using a pilot-tested and structured questionnaire that took about 20 min to complete. Upon completion of the baseline interview, monetary compensation of RMB 50 (about US$6) was given to each participant for their time. The trial was prospectively registered on the Chinese Clinical Trial Registry (ref.: ChiCTR-TRC-13003252). Ethical approval was obtained from the joint Chinese University of Hong Kong-New Territories East Cluster Clinical Research Ethics Committee (reference number: CRE-2013.503) and the Survey and Behavioural Research Ethics Committee of the Chinese University of Hong Kong.

There were about 1000 HIVMSM identified in Chengdu (Chengdu Tongle Health Counseling Service Center, 2007; Feng et al., Reference Feng, Wu, Detels, Qin, Liu, Wang, Wang and Zhang2010). The local NGO served about 600 of them at the time of the study and could potentially contact them by phone calls and through social media. A total of 450 of them were successfully contacted by peer fieldworkers and invited to participate in this study; among them, 418 were interested and attended an eligibility assessment. Three participants did not meet the inclusion/exclusion criteria (two participants were sharing their QQ accounts with others and one participant scored over the severe depression threshold of 20 and scored 3 on the suicidal ideation item of the PHQ at baseline). Therefore, 415 (92.2%) participants provided written informed consent and completed the baseline assessment (M0); these were randomised into three groups. The Consolidated Standards of Reporting Trials (CONSORT) flow diagram of this study is shown in Fig. 1.

Fig. 1. The CONSORT flow diagram of the study.

Randomisation

Block randomisation (size = 6) was used, and randomisation was performed using a computerised random number generator. Allocation was concealed from all participants and field workers by using sealed and sequentially numbered envelopes. After randomisation, all participants were provided with a manual to explain the details of the intervention that they were assigned to. The TGT-SN, TGT-only and control groups had 135, 139 and 141 participants assigned to them, respectively. After randomisation but prior to the commencement of the interventions, 11 participants dropped out of the study as they did not add the study's QQ account; they were not followed-up or included in outcome analyses. The analytic sample therefore comprised 404 participants (n = 129 for TGT-SN; n = 139 for TGT-only; n = 136 for the control group).

Assessment

All participants were asked to visit the NGO to complete face-to-face follow-up assessments at the completion of the 1-month intervention (M1), 3-month post-intervention (M4), 6-month post-intervention (M7) and 12-month post-intervention (M13). Upon completion of each of the follow-up interviews, monetary compensation of RMB 50 (about US$6) was provided to the participants for their time.

Treatment conditions

TGT-SN group

The participants in the TGT-SN group were divided into five ‘QQ groups’, each with 11–30 persons. During the 1-month intervention period, the participants in TGT-SN were asked to: (1) post brief messages to the group every day three good things that they had experienced and for which they felt grateful, (2) read the three good things posted by other members, and (3) provide at least three feedbacks on the posted messages of others each day through comments or ‘Likes’. The research assistants sent feedback in the form of two ‘Likes’ to each member every week on different weekdays, to ensure everyone was receiving some positive feedback. A template of the intervention process and examples of the three good things were provided to members of this intervention group.

Some ground rules were set for the TGT-SN group and explained to the participants before obtaining their consent to join the study. The participants were requested: (1) not to release any personally identifying information (e.g. name, photo, personal email address and workplace) to other participants to maintain anonymity and protect their privacy, (2) not to copy the messages to other people (to avoid contamination of the control group), (3) to post only supportive messages and not to air negative views or personal problems in the messages, (4) not to have social conversations beyond the messages related to the three good things and the associated feedback, and (5) not to release the study's QQ account number to others. Research assistants monitored the process, removed inappropriate messages and solved problems that arose during the intervention process.

TGT-only group

The participants in the TGT-only group were asked to write down each day three good things that they experienced and for which they felt grateful. They did not need to share their three good things with others, so no QQ group was formed.

Control group

No QQ group was formed for the control group. The members of this group received information about mental health promotion from the research assistants via personal QQ messages sent once a week during the 1-month intervention period. The materials were prepared by a health psychologist in consultation with the director of the NGO. There was no interaction between the research assistants and the participants in the control group, nor was there any interaction among the members.

Measurements

Socio-demographic information was collected, including age, gender, education level, employment status, income, marital status and sexual orientation. The participants were also asked about HIV-related background characteristics, including stage of HIV/AIDS (i.e. asymptomatic HIV infection and AIDS), CD4 testing behaviour (i.e. ‘Have you ever taken a CD4 test?’), disclosure of HIV status to their sex partners (disclosure status to male regular partners, male non-regular partners and female sexual partners) and self-perceived health status (from 1 = very poor to 5 = very good).

Primary outcome

Depression. The 20-item Center for Epidemiologic Studies Depression Scale (CES-D) (Cheung and Bagley, Reference Cheung and Bagley1998) was used to assess the presence of depressive symptoms. The Chinese version of the CES-D has been validated with good internal reliability (Chi and Boey, Reference Chi and Boey1993; Cheung and Bagley, Reference Cheung and Bagley1998; Song et al., Reference Song, Huang, Liu, Kwan, Zhang, Sham and Tang2008). Cronbach's α for CES-D ranges from 0.84 to 0.91 among PLWH (Richardson et al., Reference Richardson, Barkan, Cohen, Back, Fitzgerald, Feldman, Young and Palacio2001; Hudson et al., Reference Hudson, Kirksey and Holzemer2004; Farley et al., Reference Farley, Miller, Zamani, Tepper, Morris, Oyegunle, Lin, Charurat and Blattner2010; Chishinga et al., Reference Chishinga, Kinyanda, Weiss, Patel, Ayles and Seedat2011) and from 0.85 to 0.92 among MSM (Alvy et al., Reference Alvy, Mckirnan, Mansergh, Koblin, Colfax, Flores and Hudson2011; Berg et al., Reference Berg, Nehl, Wong, He, Huang, Ahluwalia and Zheng2011; Tucker et al., Reference Tucker, Liht, De Swardt, Jobson, Rebe, Mcintyre and Struthers2014). The participants were asked to rate how often they had experienced the symptomatology in the past 7 days, on a four-point Likert scale ranging from 0 = rarely or none of the time (less than 1 day) to 3 = almost or all of the time (5–7 days). The total score ranges from 0 to 60, with a higher score reflecting greater severity. The CES-D is composed of four dimensions: somatic symptoms, depressed affect, (lack of) positive affect and interpersonal problems. A score of 16 or more is suggestive of the presence of depressive symptoms (probable depression), and a score of 25 or more is highly associated with major depression. In this study, Cronbach's α was 0.92 at baseline.

Secondary outcomes

Anxiety. The seven-item General Anxiety Disorder Scale (GAD) was used to measure anxiety (Spitzer et al., Reference Spitzer, Kroenke, Williams and Lowe2006). Each item was rated on a four-point Likert scale ranging from 0 = never to 3 = often (almost every day). The Chinese version of the GAD has been used among PLWH in China (Qiu et al., Reference Qiu, Luo, Chen, Xiao, Li and Cheng2014a, Reference Qiu, Luo, Cheng, Xiao, Chen, Huang and Xiao2014b). The cut-off point of 5 or above indicates a probable case of anxiety disorder. In this study, Cronbach's α was 0.93 at baseline.

Positive affect and negative affect were assessed by the 20-item Positive and Negative Affect Schedule (PANAS; Watson et al., Reference Watson, Clark and Tellegen1988). As pointed out by Watson and Clark (Reference Watson and Clark1997), positive affect and negative affect are two distinct constructs rather than two extremes of the same dimension (Watson and Clark, Reference Watson and Clark1997). PANAS has been used in the Chinese population (with Cronbach's α of 0.85 for the Positive Affect subscale and 0.83 for the Negative Affect subscale; Huang et al., Reference Huang, Yang and Ji2003). It consists of 20 items, of which ten items reflect expectations for positive affect and ten for negative affect. The participants were asked to rate to what extent they currently felt a particular way on a five-point Likert scale ranging from 1 = very slightly or not at all to 5 = extremely. Scores for each subscale range from 10 to 50, with higher scores representing higher levels of positive affect and negative affect. In this study, Cronbach's α was 0.87 for the Positive Affect subscale and 0.93 for the Negative Affect subscale at baseline.

Gratitude was assessed by the six-item Gratitude Questionnaire (Emmons et al., Reference Emmons, Mccullough, Tsang, Lopez and Snyder2003). Each item was rated on a seven-point Likert scale ranging from 1 = strongly disagree to 7 = strongly agree. In this study, the Cronbach's α value for the six-item scale was 0.52. Deletion of the last item (‘Long amounts of time can go by before I feel grateful to something or someone’) improved reliability (the Cronbach's α value at baseline increased to 0.80). The resulting modified five-item version was therefore used in the data analysis.

Happiness. The four-item validated the Subjective Happiness Scale (SHS) was used to measure general happiness (Lyubomirsky and Lepper, Reference Lyubomirsky and Lepper1999). Each item was rated on a seven-point Likert scale. In this study, Cronbach's α was 0.79 at baseline.

Social support. Two items were constructed for this study to gauge the level of emotional and material social support that the participants were receiving. The participants were asked the following questions: (1) ‘How much support can you obtain from family/friends/colleagues when you need to talk or to obtain emotional support?’ and (2) ‘How much support can you obtain from family/friends/colleagues when you need material support (e.g. financial help)?’ Responses were recorded on an 11-point scale ranging from 0 = none to 10 = tremendous. The Cronbach's α for the scale obtained by summing the responses to the two items was 0.71 at baseline.

Intervention adherence

The participants were asked at M1 about the frequency that they performed the TGT exercise (TGT-SN and TGT-only groups), reviewed others' messages (TGT-SN group; the options were <1, 1, 2, 3–4, 5–6 or 7 days/week), and provided others with positive feedback (TGT-SN group; the options were ⩽10, 11–20, 21–30, 31–40, 41–50, 51–60 or >60 positive feedback/week).

Process evaluation

Information on detecting potential contamination (e.g. ‘Have you participated in other psychological counselling or intervention during the intervention period?’), and on the perceived effectiveness of the intervention (e.g. ‘To what extent was the TGT exercise effective in promoting your mental health’) was collected.

Sample size and power

The primary outcome of this study was probable cases of mild-to-severe depression in the HIVMSM. Based on a previous study, about 48% of the HIVMSM in China would qualify as probable cases of mild-to-severe depression (Wu, Reference Wu2012). The target sample size of this study was 400 HIVMSM (133 HIVMSM per study arm). This sample size allowed for the detection of the smallest between-group difference (TGT-SN v. the control group on absolute risk reduction) of 20% in the prevalence of the primary outcome, allowing for a 30% drop-out rate. The power and significance level were set to 0.8 and 0.05, respectively. Our final sample of 404 participants exceeded this target size.

Statistical analysis

We used χ 2 tests for the analysis of categorical variables and a one-way ANOVA for continuous variables to examine between-group differences at various time points. To examine the overall effect of TGT-SN and TGT-only with reference to the control group, controlling for potential covariates, repeated-measures analyses were conducted by using generalised estimation equations (GEEs). First, we entered the main effect of the intervention (TGT-SN and TGT-only v. control) and time in the model (Model 1); we then entered the main effect of the intervention, time and baseline outcome score (Model 2). Model 3 added an interaction term between intervention condition and time to Model 2. All statistical tests were two-sided and a p-value of <0.05 was considered statistically significant.

Results

Baseline background characteristics of the participants

The baseline differences in background characteristics (i.e. socio-demographic characteristics, HIV-related characteristics and social-psychological outcomes) across the three groups were not statistically different (Table 1). Among all participants, the majority (98.0%) were of Han ethnicity; 61.6% were aged 30 years or under; 61.1% had attended university or above; 51.5% had had monthly personal income ≤RMB 3000 (about US$480); 89.4% were HIV asymptomatic; <10% had never taken a CD4 test; 35.4% and 62.1% had not disclosed their HIV status to any male regular partners and non-regular sex partners, respectively. The prevalence of mild-to-severe depression and anxiety was 55.9% and 50.7%, respectively.

Table 1. Participants' baseline characteristics by intervention groups

*p-value by χ 2 test for categorical variable and Kruskal–Wallis one-way ANOVA for continuous variables.

The primary outcome

The prevalence of probable depression (CESD ⩾ 16) was 55.8%, 51.1% and 61.0% in the TGT-SN, TGT-only and control groups at baseline (M0), respectively (χ 2 test, p = 0.251; Table 1). The prevalence of probable depression among the TGT-SN and TGT-only groups was lower than that of the control group but the differences were not statistically significant (M1: 48.4% and 47.5% v. 54.8%; M4: 51.9% and 50.4% v. 61.9%; M7: 48.4% and 47.8% v. 58.3%; M13: 45.5% and 54.2% v. 55.6%; ps = 0.117–0.423, χ 2 test; Table 2).

Table 2. Comparison of between-group and within-group differences in the prevalence of probable cases of depression and anxiety for TGT-SN, TGT-only and control group over the study period

Bold significant p < 0.05; underline marginal significant results with p value less than 0.1 but greater than 0.05.

The GEE analysis showed that the main effects of TGT-SN (OR = 0.75, 95% CI 0.52–1.09, p = 0.131; Table 4) and TGT-only (OR = 0.83, 95% CI 0.57–1.21, p = 0.332; Table 4) in reducing depression were not statistically significant when controlling for baseline depression score. The interactions between the intervention groups (TGT-SN and TGT-only) and time also indicated no significant differences in treatment effects over time (ps = 0.511–0.542).

Secondary outcomes

The comparison of between-group and within-group differences in continuous secondary outcome variables for TGT-SN, TGT-only and control group over the study period was shown in Table 3. The GEE analysis (Model 2) showed a significant main effect of TGT-SN v. control in reducing the odds of anxiety (adjusted OR = 0.62, 95% CI 0.43–0.89, p = 0.009; Table 4), and level of negative affect (β = −1.62, 95% CI −2.98 to −0.26, p = 0.019; Table 4), when controlling for baseline anxiety or negative affect scores, respectively. The participants in the TGT-SN group thus showed significantly lower anxiety symptoms and less negative affect over time compared with those in the control group. There were no significant effects for TGT-SN in the other secondary outcomes (i.e. gratitude, positive affect, subjective happiness and social support). For the TGT-only group, no significant main effect was found for any secondary outcomes in the adjusted GEE models.

Table 3. Comparison of between-group and within-group differences in secondary outcome variables (continuous) for TGT-SN, TGT-only and control group over the study period

CESD, Center for Epidemiologic Studies Depression Scale; GAD, General Anxiety Disorder Scale; PA, Positive Affect Subscale; NA, Negative Affect Subscale; SHS, Subjective Happiness Scale; SWLS, Satisfaction with Life Scale.

a One-way ANOVA test.

b Paired t-test.

*p < 0.05; **p < 0.01; ***p < 0.001.

Table 4. Generalised estimation equations analyses predicting depression and anxiety and other secondary outcomes (continuous) at M1, M4, M7 and M13

Intervention adherence and process evaluation

The compliance with the interventions was generally satisfactory. Of the 129 participants in the TGT-SN group, 89 (69.0%) conducted the TGT exercise at least 1 day per week, and 20 (15.5%) did so more than 5 days per week. Concerning feedback messages posted by others, 89.1% reviewed such messages, and 68.2% posted positive feedback to such messages. Of the 139 participants in the TGT-only group, 82 (59.0%) conducted the TGT exercise at least 1 day per week; 16 (11.5%) more than 5 days per week.

Among all participants, only nine (2.2%) participated in other psychological counselling or interventions during the intervention period (representing potential external contamination). Among the participants in the TGT-SN group, 43 (33.6%) communicated with other group members on matters beyond PPI via QQ.

Among the participants in the TGT-SN and TGT-only groups, respectively, 21.6% and 20.9% thought that the TGT exercise was ineffective in improving mental health, and 66.4% and53.4% expressed that the TGT exercise was easy to conduct.

Serious adverse events

No observable adverse event was reported during the intervention period.

Discussion

To our knowledge, this study is the first randomised controlled trial to investigate the efficacy of TGT in improving mental health among the PLWH population. We found that participation in TGT-SN was effective in reducing anxiety and negative affect among HIVMSM compared with the control group. The TGT-only group showed only numerically, but not statistically significant, less depression, anxiety and negative affect, compared with the control group. Neither intervention group (TGT-SN nor TGT-only) showed a statistically significant enhancement of positive well-being (i.e. gratitude, positive affect and happiness) among HIVMSM.

In the GEE analysis that controlled for baseline outcome values, the participants in TGT-SN showed less anxiety and negative affect. This corroborates the results of previous studies investigating the effects of TGT conducted among Internet-based samples (Seligman et al., Reference Seligman, Steen, Park and Peterson2005; Gander et al., Reference Gander, Proyer, Ruch and Wyss2013). This finding is also consistent with the results of a meta-analysis (Bolier et al., Reference Bolier, Haverman, Westerhof, Riper, Smit and Bohlmeijer2013) of the effects of PPIs among both clinical and non-clinical populations. Furthermore, it is interesting to note that the TGT-only intervention did not significantly improve mental health compared with the control.

The present study did not find any effect of TGT-SN or TGT-only in enhancing positive well-being, i.e. gratitude, positive affect and happiness, among HIVMSM, when adjusted for baseline score. This finding contrasts with previous studies that have found significant effects of TGT in enhancing happiness and positive affect among the general population (Emmons and McCullough, Reference Emmons and Mccullough2003; Seligman et al., Reference Seligman, Steen, Park and Peterson2005; Mongrain and Anselmo-Matthews, Reference Mongrain and Anselmo-Matthews2012; Gander et al., Reference Gander, Proyer, Ruch and Wyss2013). There are several possible explanations. First, the effect of TGT in enhancing positive well-being may be population-specific and may not apply to the Chinese population. The literature gives an important role to religion in shaping feelings of gratitude in life. People who regularly attend religious services or engage in religious practices are more likely to have a higher level of gratitude in all aspects of life (McCullough et al., Reference Mccullough, Emmons and Tsang2002; Emmons and Keneezel, Reference Emmons and Keneezel2005; Krause, Reference Krause2009). The majority (89.6%) of people in China are not religious (Lu, Reference Lu2014); thus it might be more difficult to establish and enhance gratitude among the Chinese population than among people in countries with higher rates of religiosity. Second, cultivating positive feelings in Chinese culture may be more difficult as the tradition teaches people to be humble and not to disclose their positive feelings. Third, the norms for positive emotions are different across various nations (Eid and Diener, Reference Eid and Diener2001). In China, some individuals believe that positive emotions are undesirable. The Chinese have reported lower frequency and intensity scores for positive affect than those reported in the USA and Australia (Eid and Diener, Reference Eid and Diener2001). Fourth, it is possible that the dosage was not high enough to increase positive well-being. Although the majority of the participants in TGT-SN (about 70%) and TGT-only (about 60%) recorded three good things messages on at least 1 day per week, compliance with the daily exercise we requested was low. Less than 20% of the participants in TGT-SN and TGT-only conducted the exercise daily. It is possible that daily exercise for a month was too burdensome for the participants.

In this study, we expected to find that social networks could act as a platform/system for the participants to seek social/peer support. However, no improvement in social support was observed in the TGT-SN group over the study period. This may be partially due to the participants having been requested to post only supportive messages and not to air negative views or personal problems in the posted messages. However, in addition to positive reinforcement, sharing personal experiences/problems and providing advice are important empowering processes through which online support groups may improve mental health among PLWH (Mo and Coulson, Reference Mo and Coulson2012, Reference Mo and Coulson2013, Reference Mo and Coulson2014). Indeed, people will only perceive that they are supported when they encounter problems. The restriction on disclosing negative views or weaknesses might have prevented the participants from perceiving a higher level of support from their social network. Another possible explanation is that the measurements of social support used in this study were not suited to capture the positive reinforcement obtained from group members. The social support scale used in this study assessed the participants' levels of emotional and instrumental social support obtained from their family/friends/colleagues, rather than the positive reinforcement obtained from their group members. Thus, the measure may not have been accurate in establishing the changes in perceived social support obtained through positive reinforcement.

A high prevalence of mental health problems was found among the HIVMSM in this study. Among all participants at baseline, 55.9% had mild-to-severe depression, and 50.7% had anxiety. These results are consistent with those of previous studies conducted among PLWH in China (Molassiotis et al., Reference Molassiotis, Callaghan, Twinn, Lam, Chung and Li2002; Su et al., Reference Su, Lau, Mak, Choi, Chen, Song, Zhang, Zhao, Feng, Chen, Liu, Liu, Liu and Cheng2013) and suggest a significant threat to HIVMSM, given that since such mental health problems are associated with a number of HIV-related health outcomes and high-risk behaviour, such as low service utilisation rate, poor ART (Gordillo et al., Reference Gordillo, Del Amo, Soriano and Gonzalez-Lahoz1999; Catz et al., Reference Catz, Kelly, Bogart, Benotsch and Mcauliffe2000; Langebeek et al., Reference Langebeek, Gisolf, Reiss, Vervoort, Hafsteinsdottir, Richter, Sprangers and Nieuwkerk2014), faster progression to AIDS and shorter survival (Perry and Fishman, Reference Perry and Fishman1993; Lyketsos et al., Reference Lyketsos, Hoover, Guccione, Dew, Wesch, Bing and Treisman1996; Cook et al., Reference Cook, Cohen, Burke, Grey, Anastos, Kirstein, Palacio, Richardson, Wilson and Young2002; Schuster et al., Reference Schuster, Bornovalova and Hunt2012), substance use and the practice of unsafe sex (Parsons et al., Reference Parsons, Halkitis, Wolitski and Gomez2003). Mental health services should be provided to reduce mental health problems among PLWH including HIVMSM. In developed countries, such as the USA and the UK, mental health screening and support services have been integrated into the HIV/AIDS care system (AIDS Institute New York State Department of Health, 2012; British Psychological Society et al., 2011). However, there is a shortage of mental health promotion and treatment services among PLWH, including HIVMSM, in most parts of China (Zhao et al., Reference Zhao, Li, Kaljee, Fang, Stanton and Zhang2009; Tao et al., Reference Tao, Gai, Zhang, Zheng, Zhang, Xu and Li2010). One study found that <9% of PLWH in China who were depressed had ever received treatment for the condition (Jin et al., Reference Jin, Hampton Atkinson, Yu, Heaton, Shi, Marcotte, Young, Sadek, Wu and Grant2006). The findings of our study suggest that developing integrated mental health prevention, screening and treatment services as an integral part of the HIV/AIDS care system is warranted in China.

There are several limitations to this study. First, selection bias may be present and there were non-contacts. Second, reporting bias may be present due to the nature of self-reported data. Third, this study was conducted only among HIVMSM in one city. The results cannot be generalised to HIVMSM in different parts of China or other PLWH populations. Fourth, the measurement of social support was created for this study and had not been previously validated. Fifth, the sample size may not be large enough to detect significant differences in some outcomes; the power for depression outcomes is limited. Future studies with a larger sample size may demonstrate more powerful effects. Finally, the rate of compliance with our instructions was quite low. However, it is impossible to compare the compliance rate in this study with previous studies, because compliance with TGT exercises was not well documented in previously published studies and the settings were different (Emmons and McCullough, Reference Emmons and Mccullough2003; Seligman et al., Reference Seligman, Steen, Park and Peterson2005; Mongrain and Anselmo-Matthews, Reference Mongrain and Anselmo-Matthews2012; Gander et al., Reference Gander, Proyer, Ruch and Wyss2013).

Conclusion

In summary, this study is the first randomised controlled trial investigating the effect of a PPI on mental health among PLWH in China. A novel intervention combining the TGT exercise with electronic social networking, TGT-SN, was found effective in reducing anxiety and negative affect among HIVMSM. TGT-SN can easily be translated into regular services, as it can be delivered at no cost and does not require trained psychology professionals for administration and maintenance. It can also be easily scalable with the wide use of electronic social networking among HIVMSM in China. It is a sustainable intervention to fill the mental health service gap, especially in resource-limited settings.

Data

The data-sets used and analysed in the current study are available from the corresponding author on reasonable request.

Acknowledgements

The manuscript has been read and approved by all named authors and all of them have contributed to the development of this research. We would like to thank all participants who have been involved in this study and all research assistants for their support in data collection.

Financial support

The study was supported by the National Natural Science Foundation of China under the young scientists' grant (81302479), by the Major Infectious Disease Prevention and Control of the National Science and Technique Major Project (2018ZX10715004), and the Lifespan/Tufts/Brown Center for AIDS Research under the 2013 international developmental grant (P30AI042853).

Conflict of interest

None.

Ethical standards

Ethical approval was obtained from the joint Chinese University of Hong Kong-New Territories East Cluster Clinical Research Ethics Committee (ref: CRE-2013.503) and the Survey and Behavioural Research Ethics Committee of the Chinese University of Hong Kong.

Footnotes

*

Jinghua Li and Phoenix K.H. Mo are joint first authors on this work.

References

AIDS Institute New York State Department of Health (2012) Mental Health Screening: A Quick Reference Guide for HIV Primary Care Clinicians. AIDS Institute New York State Department of Health. Available at https://www.hivguidelines.org/hiv-care/selected-resources/quick-reference-guides/mental-health-quick-reference-guide/.Google Scholar
Alvy, LM, Mckirnan, DJ, Mansergh, G, Koblin, B, Colfax, GN, Flores, SA and Hudson, S (2011) Depression is associated with sexual risk among men who have sex with men, but is mediated by cognitive escape and self-efficacy. AIDS Behavior 15, 11711179.CrossRefGoogle ScholarPubMed
Berg, MB, Mimiaga, MJ and Safren, SA (2008) Mental health concerns of gay and bisexual men seeking mental health services. Journal of Homosexuality 54, 293306.CrossRefGoogle ScholarPubMed
Berg, CJ, Nehl, EJ, Wong, FY, He, N, Huang, ZJ, Ahluwalia, JS and Zheng, T (2011) Prevalence and correlates of tobacco use among a sample of MSM in Shanghai, China. Nicotine & Tobacco Research 13, 2228.CrossRefGoogle ScholarPubMed
Bian, C, Li, C, Duan, Q and Wu, H (2011) Reliability and validity of patient health questionnaire: depressive syndrome module for outpatients. Scientific Research and Essays 6, 278282.Google Scholar
Bogart, LM, Wagner, GJ, Galvan, FH, Landrine, H, Klein, DJ and Sticklor, LA (2011) Perceived discrimination and mental health symptoms among Black men with HIV. Cultural Divers & Ethnic Minor Psychology 17, 295302.CrossRefGoogle ScholarPubMed
Bolier, L, Haverman, M, Westerhof, GJ, Riper, H, Smit, F and Bohlmeijer, E (2013) Positive psychology interventions: a meta-analysis of randomized controlled studies. BMC Public Health 13, 119.CrossRefGoogle ScholarPubMed
British Psychological Society, British HIV Association and Medical Foundation for AIDS and Sexual Health (2011) Standards for Psychological Support for Adults Living with HIV. London: MedFASH.Google Scholar
Catz, SL, Kelly, JA, Bogart, LM, Benotsch, EG and Mcauliffe, TL (2000) Patterns, correlates, and barriers to medication adherence among persons prescribed new treatments for HIV disease. Health Psychology 19, 124133.CrossRefGoogle ScholarPubMed
Chengdu Tongle Health Counseling Service Center (2007) Study of MSM Population Size in Chengdu, Global Fund HIV/AIDS Project, China, 4th Edn. Chengdu, China: Chengdu Tongle Health Counseling Service Center.Google Scholar
Cheung, C-K and Bagley, C (1998) Validating an American Scale in Hong Kong: The Center for Epidemiological Studies Depression Scale (CES-D). The Journal of Psychology 132, 169186.CrossRefGoogle Scholar
Chi, I and Boey, KW (1993) Hong Kong validation of measuring instruments of mental health status of the elderly. Clinical Gerontologist: The Journal of Aging and Mental Health 13, 3551.CrossRefGoogle Scholar
Chishinga, N, Kinyanda, E, Weiss, HA, Patel, V, Ayles, H and Seedat, S (2011) Validation of brief screening tools for depressive and alcohol use disorders among TB and HIV patients in primary care in Zambia. BMC Psychiatry 11, 75.CrossRefGoogle ScholarPubMed
Comulada, WS, Rotheram-Borus, MJ, Pequegnat, W, Weiss, RE, Desmond, KA, Arnold, EM, Remien, RH, Morin, SF, Weinhardt, LS, Johnson, MO and Chesney, MA (2010) Relationships over time between mental health symptoms and transmission risk among persons living with HIV. Psychology of Addictive Behavior 24, 109118.CrossRefGoogle ScholarPubMed
Cook, JA, Cohen, MH, Burke, J, Grey, D, Anastos, K, Kirstein, L, Palacio, H, Richardson, J, Wilson, T and Young, M (2002) Effects of depressive symptoms and mental health quality of life on use of highly active antiretroviral therapy among HIV-seropositive women. Journal of Acquired Immune Deficiency Syndromes 30, 401409.CrossRefGoogle ScholarPubMed
Eid, M and Diener, E (2001) Norms for experiencing emotions in different cultures: inter- and intranational differences. Journal of Personality and Social Psychology 81, 869885.CrossRefGoogle ScholarPubMed
Emmons, RA and Keneezel, TT (2005) Giving thanks: spiritual and religious correlates of gratitude. Journal of Psychology and Christianity 24, 140148.Google Scholar
Emmons, RA and Mccullough, ME (2003) Counting blessings versus burdens: an experimental investigation of gratitude and subjective well-being in daily life. Journal of Personality and Social Psychology 84, 377389.CrossRefGoogle ScholarPubMed
Emmons, RA, Mccullough, ME and Tsang, J (2003) The assessment of gratitude. In Lopez, SJ and Snyder, CR (eds), Handbook of Positive Psychology Assessment. Washington, DC: American Psychological Association, pp. 327341.Google Scholar
Farley, J, Miller, E, Zamani, A, Tepper, V, Morris, C, Oyegunle, M, Lin, M, Charurat, M and Blattner, W (2010) Screening for hazardous alcohol use and depressive symptomatology among HIV-infected patients in Nigeria: prevalence, predictors, and association with adherence. Journal of the International Association of Physicians in AIDS Care (Chic) 9, 218226.CrossRefGoogle ScholarPubMed
Feng, Y, Wu, Z, Detels, R, Qin, G, Liu, L, Wang, X, Wang, J and Zhang, L (2010) HIV/STD prevalence among men who have sex with men in Chengdu. China and associated risk factors for HIV infection. Journal of Acquired Immune Deficiency Syndrome 53(suppl. 1), S74S80.CrossRefGoogle ScholarPubMed
Fowler, JH and Christakis, NA (2008) Dynamic spread of happiness in a large social network: longitudinal analysis over 20 years in the Framingham Heart Study. BMJ 337, a2338.CrossRefGoogle Scholar
Gander, F, Proyer, RT, Ruch, W and Wyss, T (2013) Strength-based positive interventions: further evidence for their potential in enhancing well-being and alleviating depression. Journal of Happiness Studies 14, 12411259.CrossRefGoogle Scholar
Gao, X, Jackson, T, Chen, H, Liu, Y, Wang, R, Qian, M and Huang, X (2010) There is a long way to go: a nationwide survey of professional training for mental health practitioners in China. Health Policy 95, 7481.CrossRefGoogle ScholarPubMed
Gordillo, V, Del Amo, J, Soriano, V and Gonzalez-Lahoz, J (1999) Sociodemographic and psychological variables influencing adherence to antiretroviral therapy. AIDS (London, England) 13, 17631769.CrossRefGoogle ScholarPubMed
Griffiths, F, Lindenmeyer, A, Powell, J, Lowe, P and Thorogood, M (2006) Why are health care interventions delivered over the internet? A systematic review of the published literature. Journal of Medical Internet Research 8, e10.CrossRefGoogle ScholarPubMed
He, H, Wang, M, Zhang, HB, Song, DD, She, M, Dong, ZX, Qu, YH and Sui, X (2012) [The unprotected sexual behaviors and its influencing factors among HIV-infected men who have sex with men in Shanghai, China]. Zhonghua Yu Fang Yi Xue Za Zhi 46, 976981.Google Scholar
Huang, L, Yang, T and Ji, Z (2003) Applicability of the positive and negative affect scale in Chinese. Chinese Mental Health Journal 17, 5456.Google Scholar
Hudson, A, Kirksey, K and Holzemer, W (2004) The influence of symptoms on quality of life among HIV-infected women. Western Journal of Nursing Research 26, 923, discussion 24–30.CrossRefGoogle ScholarPubMed
Ironson, G, Balbin, E, Stuetzle, R, Fletcher, MA, O'cleirigh, C, Laurenceau, JP, Schneiderman, N and Solomon, G (2005) Dispositional optimism and the mechanisms by which it predicts slower disease progression in HIV: proactive behavior, avoidant coping, and depression. International Journal of Behavioral Medicine 12, 8697.CrossRefGoogle ScholarPubMed
Jacob, KS, Sharan, P, Mirza, I, Garrido-Cumbrera, M, Seedat, S, Mari, JJ, Sreenivas, V and Andsaxena, S (2007) Mental health systems in countries: where are we now? Lancet (London, England) 370, 10611077.CrossRefGoogle ScholarPubMed
Jin, H, Hampton Atkinson, J, Yu, X, Heaton, RK, Shi, C, Marcotte, TP, Young, C, Sadek, J, Wu, Z and Grant, I (2006) Depression and suicidality in HIV/AIDS in China. Journal of Affective Disorders 94, 269275.CrossRefGoogle ScholarPubMed
Krause, N (2009) Religious involvement, gratitude, and change in depressive symptoms over time. International Journal for the Psychology of Religion 19, 155172.CrossRefGoogle ScholarPubMed
Langebeek, N, Gisolf, EH, Reiss, P, Vervoort, SC, Hafsteinsdottir, TB, Richter, C, Sprangers, MA and Nieuwkerk, PT (2014) Predictors and correlates of adherence to combination antiretroviral therapy (ART) for chronic HIV infection: a meta-analysis. BMC Medicine 12, 142.CrossRefGoogle ScholarPubMed
Lu, Y (2014) Report on contemporary Chinese religions based on data of CFPS (2012). The World Religious Cultures 1, 1125.Google Scholar
Lyketsos, CG, Hoover, DR, Guccione, M, Dew, MA, Wesch, JE, Bing, EG and Treisman, GJ (1996) Changes in depressive symptoms as AIDS develops. The Multicenter AIDS Cohort Study. American Journal of Psychiatry 153, 14301437.Google ScholarPubMed
Lyubomirsky, S and Lepper, H (1999) A measure of subjective happiness: preliminary reliability and construct validation. Social Indicators Research 46, 137155.CrossRefGoogle Scholar
Lyubomirsky, S, King, L and Diener, E (2005a) The benefits of frequent positive affect: does happiness lead to success? Psychological Bulletin 131, 803855.CrossRefGoogle Scholar
Lyubomirsky, S, Tkach, C and Sheldon, KM (2005b) Pursuing sustained happiness through random acts of kindness and counting one's blessing: tests of two 6-week interventions. Unpublished manuscript, Department of Psychology, University of California, Riverside.Google Scholar
Mccullough, ME, Emmons, RA and Tsang, JA (2002) The grateful disposition: a conceptual and empirical topography. Journal of Personality and Social Psychology 82, 112127.CrossRefGoogle ScholarPubMed
Mills, TC, Paul, J, Stall, R, Pollack, L, Canchola, J, Chang, YJ, Moskowitz, JT and Catania, JA (2004) Distress and depression in men who have sex with men: the Urban Men's Health Study. American Journal of Psychiatry 161, 278285.CrossRefGoogle ScholarPubMed
Mo, PK and Coulson, NS (2012) Developing a model for online support group use, empowering processes and psychosocial outcomes for individuals living with HIV/AIDS. Psychology Health 27, 445459.CrossRefGoogle Scholar
Mo, PK and Coulson, NS (2013) Online support group use and psychological health for individuals living with HIV/AIDS. Patient Education and Counseling 93, 426432.CrossRefGoogle ScholarPubMed
Mo, PK and Coulson, NS (2014) Are online support groups always beneficial? A qualitative exploration of the empowering and disempowering processes of participation within HIV/AIDS-related online support groups. International Journal of Nursing Studies 51, 983993.CrossRefGoogle ScholarPubMed
Molassiotis, A, Callaghan, P, Twinn, SF, Lam, SW, Chung, WY and Li, CK (2002) A pilot study of the effects of cognitive-behavioral group therapy and peer support/counseling in decreasing psychologic distress and improving quality of life in Chinese patients with symptomatic HIV disease. AIDS Patient Care and STDs 16, 8396.CrossRefGoogle ScholarPubMed
Mongrain, M and Anselmo-Matthews, T (2012) Do positive psychology exercises work? A replication of Seligman et al. Journal of Clinical Psychology 68, 382389.CrossRefGoogle Scholar
Moskowitz, JT (2003) Positive affect predicts lower risk of AIDS mortality. Psychosomatic Medicine 65, 620626.CrossRefGoogle ScholarPubMed
Parsons, JT, Halkitis, PN, Wolitski, RJ and Gomez, CA (2003) Correlates of sexual risk behaviors among HIV-positive men who have sex with men. AIDS Education and Prevention 15, 383400.CrossRefGoogle ScholarPubMed
Perry, S and Fishman, B (1993) Depression and HIV. How does one affect the other? JAMA 270, 26092610.CrossRefGoogle ScholarPubMed
Proudfoot, J, Jayawant, A, Whitton, AE, Parker, G, Manicavasagar, V, Smith, M and Nicholas, J (2012) Mechanisms underpinning effective peer support: a qualitative analysis of interactions between expert peers and patients newly-diagnosed with bipolar disorder. BMC Psychiatry 12, 196.CrossRefGoogle ScholarPubMed
Qiu, Y, Luo, D, Chen, X, Xiao, Y, Li, J and Cheng, R (2014a) [A path analysis on related factors of quality of life in people with HIV/AIDS]. Chinese Mental Health Journal 28, 729734.Google Scholar
Qiu, Y, Luo, D, Cheng, R, Xiao, Y, Chen, X, Huang, Z and Xiao, S (2014b) [Emotional problems and related factors in patients with HIV/AIDS]. Journal of Central South University (Medical Science) 39, 835841.Google Scholar
Richardson, J, Barkan, S, Cohen, M, Back, S, Fitzgerald, G, Feldman, J, Young, M and Palacio, H (2001) Experience and covariates of depressive symptoms among a cohort of HIV infected women. Social Work in Health Care 32, 93111.CrossRefGoogle ScholarPubMed
Schuster, R, Bornovalova, M and Hunt, E (2012) The influence of depression on the progression of HIV: direct and indirect effects. Behavior Modification 36, 123145.CrossRefGoogle ScholarPubMed
Seligman, MEP, Steen, TA, Park, N and Peterson, C (2005) Positive psychology progress: empirical validation of interventions. American Psychologist 60, 410421.CrossRefGoogle ScholarPubMed
Sheldon, KM and Lyubomirsky, S (2006) How to increase and sustain positive emotion: the effects of expressing gratitude and visualizing best possible selves. The Journal of Positive Psychology 1, 7382.CrossRefGoogle Scholar
Sivasubramanian, M, Mimiaga, MJ, Mayer, KH, Anand, VR, Johnson, CV, Prabhugate, P and Safren, SA (2011) Suicidality, clinical depression, and anxiety disorders are highly prevalent in men who have sex with men in Mumbai, India: findings from a community-recruited sample. Psychology, Health & Medicine 16, 450462.CrossRefGoogle ScholarPubMed
Song, Y, Huang, Y, Liu, D, Kwan, JSH, Zhang, F, Sham, PC and Tang, SW (2008) Depression in college: depressive symptoms and personality factors in Beijing and Hong Kong college freshmen. Comprehensive Psychiatry 49, 496502.CrossRefGoogle ScholarPubMed
Spitzer, RL, Kroenke, K, Williams, JB and Lowe, B (2006) A brief measure for assessing generalized anxiety disorder: the GAD-7. Archives of Internal Medicine 166, 10921097.CrossRefGoogle ScholarPubMed
Su, X, Lau, JT, Mak, WW, Choi, KC, Chen, L, Song, J, Zhang, Y, Zhao, G, Feng, T, Chen, X, Liu, C, Liu, J, Liu, D and Cheng, J (2013) Prevalence and associated factors of depression among people living with HIV in two cities in China. Journal of Affective Disorders 149, 108115.CrossRefGoogle ScholarPubMed
Tao, X, Gai, R, Zhang, N, Zheng, W, Zhang, X, Xu, A and Li, S (2010) HIV Infection and mental health of ‘money boys’: a pilot study in Shandong Province, China. Southeast Asian Journal of Tropical Medicine and Public Health 41, 358368.Google Scholar
Thompson, SC, Nanni, C and Levine, A (1996) The stressors and stress of being HIV-positive. AIDS Care 8, 514.CrossRefGoogle ScholarPubMed
Tucker, A, Liht, J, De Swardt, G, Jobson, G, Rebe, K, Mcintyre, J and Struthers, H (2014) Homophobic stigma, depression, self-efficacy and unprotected anal intercourse for peri-urban township men who have sex with men in Cape Town, South Africa: a cross-sectional association model. AIDS Care 26, 882889.CrossRefGoogle ScholarPubMed
Watson, D and Clark, LA (1997) Measurement and mismeasurement of mood: recurrent and emergent issues. Journal of Personality Assessment 68, 267296.CrossRefGoogle ScholarPubMed
Watson, D, Clark, LA and Tellegen, A (1988) Development and validation of brief measures of positive and negative affect: the PANAS scales. Journal of Personality Social Psychology 54, 10631070.CrossRefGoogle ScholarPubMed
Wu, X (2012) Mental Health, Risk Behaviours and Illness Perception Among Newly Diagnosed HIV Positive Men Who Have Sex with Men in China. Hong Kong: Doctor of Philosophy, The Chinese University of Hong Kong.Google Scholar
Wu, YL, Yang, HY, Wang, J, Yao, H, Zhao, X, Chen, J, Ding, XX, Zhang, HB, Bi, P and Sun, YH (2014) Prevalence of suicidal ideation and associated factors among HIV-positive MSM in Anhui, China. International Journal of STD & AIDS, 2015 26, 496503.CrossRefGoogle ScholarPubMed
Xiang, D and Wu, D (2010) Comparison of social support and life quality of HIV/AIDS patients- a survey based on commercial blood donors, MSM and FSW. Social Science Front 4, 1941200.Google Scholar
Zhang, L, Chow, EP, Jing, J, Zhuang, X, Li, X, He, M, Sun, H, Li, X, Gorgens, M, Wilson, D, Wang, L, Guo, W, Li, D, Cui, Y, Wang, L, Wang, N, Wu, Z and Wilson, DP (2013) HIV prevalence in China: integration of surveillance data and a systematic review. Lancet Infectious Disease 13, 955963.CrossRefGoogle ScholarPubMed
Zhao, Q, Li, X, Kaljee, LM, Fang, X, Stanton, B and Zhang, L (2009) AIDS orphanages in China: reality and challenges. AIDS Patient Care and STDs 23, 297303.CrossRefGoogle ScholarPubMed
Figure 0

Fig. 1. The CONSORT flow diagram of the study.

Figure 1

Table 1. Participants' baseline characteristics by intervention groups

Figure 2

Table 2. Comparison of between-group and within-group differences in the prevalence of probable cases of depression and anxiety for TGT-SN, TGT-only and control group over the study period

Figure 3

Table 3. Comparison of between-group and within-group differences in secondary outcome variables (continuous) for TGT-SN, TGT-only and control group over the study period

Figure 4

Table 4. Generalised estimation equations analyses predicting depression and anxiety and other secondary outcomes (continuous) at M1, M4, M7 and M13