A preliminary validation of the Brief COPE instrument for assessing coping strategies among people living with HIV in China
© Su et al. 2015
Received: 10 April 2015
Accepted: 2 September 2015
Published: 14 September 2015
The Brief COPE instrument has been utilized to conduct research on various populations, including people living with HIV (PLWH). However, the questionnaire constructs when applied to PLWH have not been subjected to thorough factor validation.
A total of 258 PLWH were recruited from two provinces of China. They answered questions involving the scales of three instruments: the Brief COPE, the Perceived Social Support Scale, and the Perceived Discrimination Scale for PLWH. Confirmatory factor analysis (CFA) and exploratory factor analysis (EFA) were conducted.
The CFA found a poor goodness of fit to the data. The subsequent EFA identified six preliminary factors, forming subscales with Cronbach’s alphas, which ranged from 0.61 to 0.80. Significant correlation coefficients between the subscales and measures of perceived social support and perceived discrimination were reported, giving preliminary support to the validity of the new empirical factor structure.
This study showed that the original factor structure of the Brief COPE instrument, when applied to PLWH in China, did not fit the data. Thus, the Brief COPE should be applied to various populations and cultures with caution. The new factor structure established by the EFA is only preliminary and requires further validation.
KeywordsPeople living with HIV Brief COPE Confirmatory factor analysis Explanatory factor analysis Perceived Social Support Scale Perceived Discrimination Scale for PLWH China
Please see Additional file 1 for translations of the abstract into the six official working languages of the United Nations.
Coping is defined as constantly changing cognitive and behavioral efforts to manage specific external and/or internal demands that are taxing or exceeding the resources of a person . It may significantly amplify or diminish the effects of stress or adverse events  as different types of coping strategies can have protective or harmful effects on individuals’ health and wellbeing [3–5].
People living with HIV (PLWH) face severe challenges such as stigma [6, 7], poor antiretroviral adherence , various stresses , and depression [10, 11]. Thus, there is a strong need to identify protective and risk factors as well as effective coping strategies associated with mental health problems, in order to develop evidence-based prevention programs targeting PLWH . Research on PLWH found that appropriate coping strategies are associated with better mental health and quality of life , decreased depressive symptoms , effective stress management, and better drug adherence . Furthermore, elaborating on the structure of coping strategies of PLWH would also help in facilitating and evaluating the community-based interventions that have been proved effective in averting risk behaviors and disease burden of infectious diseases in developing countries [16, 17].
The COPE Inventory was developed to assess a broad range of coping responses. It’s based on the coping model developed by Lazarus and Folkman , and the behavioral self-regulation model developed by Carver and Scheier [18, 19]. It has 60 items, consisting of 15 subscales (four items per scale), each with a specific conceptual focus. Good psychometric properties including high values of Cronbach’s alpha, test-retest reliability, and significant correlations with external variables have been reported . There is no fully validated Chinese version of the COPE Inventory.
The Brief COPE  is the abbreviated version of the COPE Inventory and assesses dispositional as well as situational coping efforts . The 28-item Brief COPE (consisting of 14 subscales) has acceptable psychometric properties and has been used extensively to examine the relationship between various coping strategies and psychological outcomes in PLWH [22–24] and other populations . Its constructs, however, have not been subjected to factor validation. Although the Chinese version of the Brief COPE was translated into Chinese and back-translated into English, a test for internal consistency and factor analysis has not yet been performed .
The estimated number of PLWH in China was over 1,000,000 in 2014. Few psychological support services exist despite the highly stressful and discriminating social environment . The investigation of coping responses to stressors within the cultural context is critically important. There is, however, a dearth of such data in China, possibly due to the lack of fully validated Chinese instruments assessing coping strategies. PLWH in different countries may use coping strategies differently. Prior studies advocated a culturally sensitive approach to ensure that the impact of interventions is optimized to benefit the individuals recovering from a stressful event . In addition to social prejudices, Chinese PLWH encounter difficulties due to HIV/AIDS-related symptoms and complications, low socioeconomic status, a conservative social environment , and a lack of social support .
Overall study design
In Fig. 2, the second model grouped the 14 subscales under adaptive coping (including all the subscales of the problem-focused and emotion-focused coping categories in the first model) and maladaptive coping strategies (including all the subscales of dysfunctional coping in the first model) . Adaptive coping strategies tend to be associated with desirable outcomes and maladaptive coping strategies tend to be associated with undesirable outcomes [30, 32]. Previous studies on Brief COPE have used either the combined subscales (e.g., adaptive versus maladaptive coping) [25, 30, 33] or the separate subscales [26, 34–36].
In this study, we performed CFA based on the two aforementioned models. In cases where the CFA model showed a poor goodness of fit to the data, exploratory factor analysis (EFA) was performed, in order to establish the factor structure of the Brief COPE. We hypothesized that perceived social support would be positively correlated with subscale scores related to active coping strategies , whereas perceived discrimination would be associated with scores related to maladaptive coping strategies [38, 39].
Procedure and participants
Recruiting procedure and response rates in Hengyang and Shenzhen city
Invited by phone (C/I)
Invited when using services (C/I)
Participants were briefed about the purpose and the confidential nature of the study. After written informed consent was obtained, they were interviewed face-to-face in a private room at their local CDC or at the hospitals/clinics. The Hengyang participants were interviewed by the first author and two other trained doctors from the CDC, whereas the Shenzhen participants were interviewed by the first author and one of the co-authors (Song). No personal information was recorded in the questionnaire and a monetary incentive of 50 Yuan (US$ 6.25) was offered to the participants for their time. Approval was obtained from the ethics committee of the Chinese University of Hong Kong.
Information was collected on the participants’ demographic characteristics (age, gender, educational level, marital status, income, employment). Participants were also asked about their perceived mode of HIV transmission, antiretroviral treatment status, and length of time since HIV diagnosis.
The strategies adopted by PLWH to cope with stress in the previous three months were assessed using the 28-item Brief COPE, comprising 14 two-item subscales. The Cronbach’s alpha for the original subscales ranged from 0.50 (venting) to 0.90 (substance use) . The individual item score of the Chinese Brief COPE  ranged from 1 (not doing it at all) to 4 (doing it a lot).
The Perceived Social Support Scale (PSSS) questionnaire
The PSSS is a validated 12-item questionnaire that assesses the perceived support from family, friends, and significant others . The scores range from 12 to 84, with a higher score indicating a higher level of perceived support. In a previous study, the Chinese version of the PSSS was validated and showed good internal reliability (Cronbach’s alpha = 0.89) . In this study, the Cronbach’s alpha was also 0.89.
Perceived Discrimination Scale for PLWH (PDSHIV)
This scale was constructed by the authors and was used in other published papers [10, 42]. Based on a literature review [43, 44], six items were generated: “Family members are unwilling to live with PLWH”; “Healthcare workers refuse to provide PLWH services or provide lower-quality services”; “Friends are reluctant to be affiliated with a HIV infected person”; “PLWH are fired once the employer knows of their HIV status”; “Most people would discriminate against PLWH”; and “Family members of PLWH are being looked down upon by their relatives and neighbors.” Item responses included: “not true at all” (scored 0), “hardly true” (scored 1), “somewhat true” (scored 2), and “completely true” (scored 3). A higher score indicates a higher level of perceived discrimination. The EFA extracted a one-factor solution from the six items, which explained 41.9 % of the total variance. The CFA on the one-factor solution of PDSHIV also showed an acceptable model fit (RMSEA = 0.08, NFI = 0.98, CFI = 0.99, GFI = 0.99). In this study, the composite scale had an alpha value of 0.70.
Descriptive statistics were presented. Cronbach’s alphas were derived to assess internal validity of the subscales. The item responses in the two models of Brief COPE (shown in Figs. 1 and 2) were specified and estimated using the diagonally weighted least squares chi-square utilizing the LISREL 8.50. Relative chi-square (χ2) was calculated (weighted least squares chi-square divided by degrees of freedom) to indicate the model fit. The appropriateness of each latent construct was evaluated in terms of the comparative fit index (CFI), the root mean square error of approximation (RMSEA), the normed fit index (NFI), the non-normed fit index (NNFI), and the goodness of fit index (GFI). An acceptable relative χ2 fit index is usually set at a 3:1 ratio, whereas some researchers consider a higher ratio of around 5:1 . Values of CFI, GFI, NFI, and NNFI that were 0.90 or greater  and RMSEA values of 0.08 or less  were indicative of a good model fit, whereas RMSEA values of 0.05 or less were considered to be a near-perfect fit .
In the EFA, a varimax rotation was performed to yield a certain number of factors; the number of factors was determined by eigenvalues  and factor loadings [49, 50]. The Kaiser-Meyer-Olkin (KMO) and Bartlett’s sphericity tests were used to measure sampling adequacy. Subscale scores were derived by adding the item scores of individual factors. Item-subscale correlation coefficients were derived and Cronbach’s alpha coefficients  were estimated. Cronbach’s alpha, a measure of the average correlation of items within a scale, is a commonly used statistic to assess internal consistency. A commonly accepted standard for internal consistency is 0.60 . Spearman correlation coefficients among different subscale scores of the Brief COPE and PSSS (measure of social support)/PDSHIV (measure of perceived discrimination) were derived. The content validity of the factors was evaluated by a panel including one psychologist, one epidemiologist, and one PhD student in Social Medicine, who were all experienced in HIV/AIDS research. The panel members made their judgments on the relevance of the items and ensured that the formulation of the specific subscales had clear meanings.
Demographic characteristics of the respondents
Background characteristics of the respondents (n = 258)
29 or below
40 or above
Currently not married
Whether having kid(s)
Primary or below
Senior high/technical secondary school
Junior College or above
Individual monthly income
500 to 1000 yuan
1000 to 2000 yuan
Whether have health insurance
HIV related variables
Probable mode of HIV transmission
Currently receiving ARV therapy
Year confirmation of HIV status
1997 to 2005
2006 to 2008
Results of the CFA based on the previous two models
Indices of CFA for Model 1 and Model 2
No. of factors
Relative χ2 fit index
Factor loadings of the Brief COPE
Items of Brief COPE
14. I've been trying to come up with a strategy about what to do
12. I've been trying to see it in a different light, to make it seem more positive
25. I've been thinking hard about what steps to take
2. I've been concentrating my efforts on doing something about the situation I'm in
7. I've been taking action to try to make the situation better
17. I've been looking for something good in what is happening
24. I've been learning to live with it
20. I've been accepting the reality of the fact that it has happened
11. I've been using alcohol or other drugs to help me get through it
4. I've been using alcohol or other drugs to make myself feel better
16. I've been giving up the attempt to cope
21. I've been expressing my negative feelings
6. I've been giving up trying to deal with it
10. I’ve been getting help and advice from other people
23. I’ve been trying to get advice or help from other people about what to do
15. I've been getting comfort and understanding from someone
5. I've been getting emotional support from others
9. I've been saying things to let my unpleasant feelings escape
3. I've been saying to myself "this isn't real."
8. I've been refusing to believe that it has happened
26. I’ve been blaming myself for things that happened
13. I’ve been criticizing myself
22. I've been trying to find comfort in my religion or spiritual beliefs
27. I've been praying or meditating
19. I've been doing something to think about it less, such as going to movies, watching TV, reading, daydreaming, sleeping, or shopping
28. I've been making fun of the situation
18. I've been making jokes about it
1. I've been turning to work or other activities to take my mind off things
Item-subscale correlation coefficients
0.31 − 0.58
0.42 − 0.66
0.48 − 0.64
0.54 − 0.59
0.31 − 0.46
Results of the exploratory factor analysis
Due to the poor fit between the two models and the data, an EFA were conducted to establish the factor structure of the 28-item Brief COPE. The KMO value was 0.84 meeting the criterion of KMO > = 0.60. The Bartlett’s sphericity test was statistically significant (χ 2 = 2572, df = 378, p < 0.000). The varimax rotation yielded six factors using the criterion of eigenvalue larger than 1, explaining 56.1 % of the total variance. The minimum item loading was 0.40 and there was only one item with cross-loadings >0.40 (“I’ve been turning to work or other activities to take my mind off things.”) This item was assigned to one of the two factors that allowed for better interpretation (see Table 4).
Correlation coefficients between the six subscales and PSSS/PDSHIV
Problem-solving and acceptance
Negative Venting and avoidance
Self-blame and denial
Reliance on spirituality
Humor and self-distraction
Inter-item correlations and internal consistency of the subscales that were identified from the EFA
The item-total spearman correlation coefficients of the six factors ranged, respectively, from 0.31 to 0.58, 0.42 to 0.66, 0.48 to 0.64, 0.54 to 0.59, 0.62, and 0.31 to 0.46. These figures were found to be statistically significant (p < 0.05) and acceptable [53, 54]. The Cronbach’s alpha coefficients of the six subscales ranged from 0.61 to 0.80 (see Table 5), which were also found to be acceptable according to our pre-set criterion of 0.60 .
Construct validity of the structure identified from the EFA
Table 5 shows that the “Support seeking” subscale was positively correlated with the PSSS (r = 0.30, p < 0.05) and negatively correlated with the PDSHIV (r = −0.12, p < 0.05). The “Problem-solving and acceptance” subscale was positively correlated with the PSSS (r = 0.24, p < 0.05). The “Humor and self-distraction” subscale was positively correlated with the PSSS (r = 0.17, p < 0.05).
In recent years, the literature on coping with stress related to chronic diseases, life-threatening illnesses, and natural disasters has grown substantially [55–57]. Coping strategies adopted by PLWH have very important practical applications as such strategies determine health outcomes and even chances of spreading HIV to others . Amongst PLWH, coping strategies such as behavioral disengagement and denial are found to be associated with disease progression and a poor psychological status, whereas the coping strategy of acceptance is associated with a lower level of distress [58, 59]. There are, however, mixed findings about the effect of higher-order coping strategies (e.g., problem-focused and emotion-focused coping) on psychosocial outcomes [25, 31–33].
The COPE Inventory and the Brief COPE have been used in a number of HIV-related studies [34, 60]. The Brief COPE has sometimes been used in the absence of full validation, which may be problematic. The most important finding of this study was that the CFA results did not fit the data. The results hence neither supported the grouping of the subscales into the emotion-focus, problem-focus, or dysfunctional coping strategies, nor into the adaptive and maladaptive coping strategies [25, 30]. Consistently, the author of COPE and Brief COPE did not recommend combining related subscales into “problem-focus” and “emotion-focus” indices, or to form an “overall” index. Instead, he suggested that researchers use separate subscales or the factors obtained from EFA when investigating associations between coping and other variables . Such findings and notions should be taken into account when using the Brief COPE instrument.
Our subsequent EFA generated six preliminary factors. The psychometric properties of the new factor structure were found to be acceptable (e.g., KMO, Bartlett’s sphericity test, and Cronbach’s alphas of the factors). However, we acknowledge that the naming of the subscales was subjective although a panel was involved. We contend that such preliminary factors were consistent with the cultural context and the literature. For instance, two of the six generated factors (“Humor and self-distraction” and “Problem-solving and acceptance”) potentially reflected the resilient nature of the traditional Chinese culture. As some popular ancient Chinese proverbs, such as “Ku zhong qiu le” (苦中求乐, “pursue happiness while suffering”) and “Sui yu er an” (随遇而安, “make the best out of one’s circumstances”), indicate Chinese culture is highly resilient to cope with harsh conditions. Furthermore, the two factors of “Negative venting and avoidance” (such as use alcohol and other drugs) and “Self-blame and denial” might reflect coping strategies that are frequently used by PLWH when they know about their HIV status [61, 62]. Because some PLWH would seek help from their family members, relatives, or close friends to alleviate their stress , the factor “Support seeking” was also identified in the study conducted by Carver et al. [20, 21]. Furthermore, some PLWH believe that spirituality would improve disease outcomes ; we identified the factor of “Reliance on spirituality,” which is also consistent with the emergence of religiosity in China .
Corroborating with previous studies that found social support predictive of problem-focused coping  and adaptive coping strategies , our study showed that social support was positively correlated with the “Problem-solving and acceptance” and “Humor and self-distraction” factors. The study also showed that “Support seeking” correlated negatively with perceived discrimination. Discrimination against PLWH exists in health service settings, and includes refusal to provide treatment and involuntary disclosure of patients’ HIV status [66–69]. Some PLWH avoid using AIDS-related services in order to protect themselves and their families from stigmatization and discrimination [38, 39]. In this study, “Support seeking” also correlated positively with perceived social support. The aforementioned findings were consistent with those from previous studies targeting Chinese PLWH [66, 70]. The results therefore provide some preliminary support to the new factor structure established by the EFA.
This study had several limitations. First, the factors derived from the EFA were sample dependent and were not cross-validated by an independent sample. We did not perform split-sample analysis including CFA for the new factor structure due to the relatively small sample size. This new factor structure is thus not conclusive and requires further validation before we can accept it. Second, the sampling frame only covered a proportion of the PLWH in the two cities (e.g., those with valid telephone numbers or those who used particular services); the sample may not be representative of the PLWH populations in the two cities although the response rate was quite high. Generalization of the results to other PLWH populations in China needs be made with caution. Third, the sample consisted of different types of PLWH, which may be seen as both a strength and a limitation. Fourth, reporting bias due to self-reporting may exist. Face-to-face interviews are, however, very common in HIV studies . Literacy should not be a big problem as the majority of the sampled participants attended junior high school at the very least. Anonymous self-administered surveys could be performed. Future studies may test potential differences due to different modes of surveys, such as face-to-face interviews versus self-administration. Sensitive questions were asked and such topics have been covered in many PLWH studies. As the participants were interviewed by experienced service providers who knew about their HIV status and in a context of professional care, we believe that most of the participants were willing to disclose true answers. Fifth, there are some issues regarding the new factor structure. For instance, one item was double loaded on two factors and assigned to one of the two scales for clearer meaning. Furthermore, the subscale “Reliance on spirituality” only consisted of two items, which may not be satisfactory , although the original Brief Cope consists of 14 two-item subscales. Sixth, no additional instrument measuring coping strategies was used for testing concurrent validity of the Brief COPE, due to the length of the questionnaire. Also, the effect size of some of the significant correlations between the subscales and other measures was quite small. Seventh, this study was conducted between 2007 and 2008, but certain stressors have changed among PLWH in recent years due to improved treatment availability. However, many stressors faced by PLWH (e.g., stigma, physical problems, financial problems) and public stigma remained similar. Meanwhile, the original Brief COPE was developed in 1997 and is still widely used across study populations. We contend that the structure of coping among PLWH should be more or less stable over time. Therefore, scales developed around 2008 should still be useful for future studies on coping mechanisms among PLWH in China. Eighth, data were not collected from MMT and HIV clinics of Shenzhen city at the time of the study due to some availability and overlap issues that would produce a bias to the study results.
The two original proposed factor structures of the Chinese version of the Brief COPE instrument, which has been used in a number of studies, were not found to be valid for PLWH in China. The results urge researchers to pay attention to cultural diversity when performing coping research targeting PLWH and selecting a tool to assess coping strategies. We reported a new six-factor structure established by the EFA. It represents a preliminary exploration of the factor structure of the Brief COPE instrument for the population of PLWH in China. Reassessment of the psychometric evidences of this new factor structure in PLWH and other Chinese populations is greatly warranted.
Center for disease control and prevention
Confirmatory factor analysis
Comparative fit index
Exploratory factor analysis
Goodness of fit index
Methadone maintenance treatment
Normed fit index
Non-normed fit index
People living with HIV
Perceived Discrimination Scale for PLWH
Perceived Social Support Scale
Root mean square error of approximation
We would like to thank the staff at the Hengyang and Shenzhen CDCs and all study participants who were involved and contributed to the data collection. We further express our gratitude to colleagues at the Centre of Epidemiology and Biostatistics of the School of Public Health and Primary Care for their support in the study design and data analysis.
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