Skip to main content

Advertisement

We’d like to understand how you use our websites in order to improve them. Register your interest.

Effects of stigma, hope and social support on quality of life among Chinese patients diagnosed with oral cancer: a cross-sectional study

Abstract

Background

Improving quality of life (QoL) has been one of the goals of health care for people living with oral cancer. This study aimed to assess QoL and investigate the effects of stigma, hope, and social support on QoL among Chinese oral cancer patients.

Methods

A cross-sectional study was conducted at the Department of Stomatology, Shengjing Hospital of China Medical University and Stomatology Hospital of China Medical University in Liaoning Province, China, between May 2016 and October 2017. A total of 230 oral cancer patients were recruited to complete a questionnaire including the Functional Assessment of Cancer Therapy-Head and Neck (FACT-H&N), the Social Impact Scale (SIS), the Herth Hope Index (HHI) and the Multidimensional Scale of Perceived Social Support (MSPSS). Univariate one-way ANOVA/t-test, Person’s r and hierarchical linear regression analysis were conducted to explore the factors influencing QoL and the relationships between stigma, hope, perceived social support and QoL.

Results

The mean QoL score was 90.85 ± 20.15 among the patients with oral cancer. Stigma was negatively related to QoL, explaining 39.3% of the variance. In addition, hope and perceived social support were positively associated with QoL, explaining 8.1% of the variance.

Conclusion

Overall, Chinese patients with oral cancer suffer from low QoL. Stigma was significantly and negatively associated with QoL, while hope and perceived social support were positively associated with QoL. Oral cancer patients’ psychological states should be addressed, and adequate intervention based on positive psychological resources should be provided to improve the QoL of patients with oral cancer.

Introduction

Oral cancer is a broad term for malignant tumours in the oral cavity, which may arise as a primary lesion in any part of the oral cavity or oropharynx, such as the lip, cheek, gingiva, tongue and floor of the mouth [1]. According to the World Health Organization (WHO), there were approximately 350,000 new cases and 170,000 deaths of oral cancer worldwide in 2018 [2]. However, it is estimated by the National Central Cancer Registry of China (NCCRC) that in 2014, the morbidity of oral cancer in China was 1.56/100,000, and the standardized morbidity of the world population was 0.99/100,000 [3]. In addition, oral cancer death accounted for approximately 1.13% of all cancer deaths in China in 2014 [3]. Although the incidence and mortality of oral cancer in China are not high, much attention should be directed to oral cancer because of the large population.

Quality of life (QoL) for oral cancer patients is a reflection of patients’ life status after this disease diagnosis. In addition, QoL has also become a significant factor in monitoring treatment and therapeutic procedure success in recent decades [4]. Poor QoL of oral cancer patients was has consistently been associated with longer hospital stays, poor postoperative performance, increased narcotic use and complications with treatment, and decreased treatment compliance [5]. Therefore, researchers are increasingly aware of the value of considering how to improve the level of QoL and extend survival length in patients with oral cancer [6]. Based on the literature review, we found that not only the general impacts of clinical and demographic differences but also psychological factors influence QoL.

In fact, several studies have reported on the prevalence of cancer stigma [7]. It has been found to be associated with various types of illness, including but not limited to HIV/AIDS, tuberculosis, and cancers [8]. Cancer is recognized as a stigma when it conveys deviation from the normal state. Once individuals are stigmatized, they are often stripped of their social status and become stereotyped, discriminated, and isolated or even feel exclusion from society [9]. Compared with patients with other types of cancer, patients with oral cancer always face substantial challenges, including problems with speaking, eating, breathing and facial disfigurement, which may significantly contribute to patient stigma. Stigma in cancer patients was proven to be strongly and consistently associated with negative psychological health, including depressive symptoms [10], anxiety [11], and demoralization [12]. Therefore, patients with oral cancer may experience more stigma that can result in poor psychological conditions and significantly impact their QoL.

In the past decade, positive psychological resources such as hope and perceived social support have become increasingly important in clinical practice. During treatment, hope can be regarded as one of the most important and effective coping styles when patients face cancer. A systematic review reported that hope was associated with better quality of life and spiritual well-being in Asian patients with cancer [13]. In addition, higher levels of social support lead individuals to believe that others are concerned about and accepting of them [14]. Many previous studies have demonstrated that social support is related to cancer patients’ QoL [15, 16]. Thus, we hypothesize that the presence of hope and supportive interpersonal relationships has the potential to influence the QoL of oral cancer patients in the present study.

However, to the best of our knowledge, extant studies have not yet explored the relationship of patients’ QoL with stigma, hope and social support in China. Therefore, in the current study, we aimed to assess QoL and the association of QoL with stigma, hope and social support in patients with oral cancer.

Methods

Study design and sampling

A cross-sectional study was carried out from May 2016 to October 2017. All participants were recruited from the Department of Stomatology of Shengjing Hospital of China Medical University and Stomatology Hospital of China Medical University. Once patients agreed to participate in this cross-sectional study, they were distributed questionnaires and an informed consent form to read and sign. Patients were included if they met the following criteria: (1) were at least 18 years old, (2) were diagnosed with oral cancers, (3) were post-surgery, (4) were aware of their own diagnosis, (5) were well enough to answer the questionnaires, and (6) were able to accurately and fluently answer questions. Patients with the following criteria were excluded: (1) had a history of psychiatric or cognitive disorders, (2) were illiterate and unable to complete the survey, and (3) had other oral diseases or other cancers. Investigators were responsible for helping them to read questionnaire items and providing explanation without any inducement. Of the 271 patients who met the inclusion criteria, 41 patients were excluded because the missing values exceeded 30% in the questionnaire. Finally, completed questionnaires were obtained from 230 individuals, including 135 males and 95 females. The effective response rate was 84.8%.

The study was approved by the Committee on Human Experimentation of China Medical University, and the study procedures were in accordance with ethical standards.

Measurement of demographic and clinical variables

Demographic characteristics consisted of age, gender, marital status, education level, monthly income, work status, and residence. Clinical characteristics included the type of treatment, mandibulectomy (resection of the mandible), distant cancer metastasis, and familial inheritance (family history of cancer).

Measurement of QoL

In this study, QoL was measured by the Functional Assessment of Cancer Therapy-Head and Neck (FACT-H&N), which comprises 39 questions and consists of five dimensions: physical well-being, social/familial well-being, emotional well-being, functional well-being, and head and neck cancer-specific subscales. Each item was rated on a five-point Likert scale from 0 for “not at all” to 4 for “very much”. The total score ranges from 0 to 144, with a higher score indicating a higher level of QoL. FACT-H&N as a specific instrument has been translated into many languages and validated in previous studies, including with Chinese patients [17,18,19,20]. In our study, Cronbach’s alpha coefficient for the scale was 0.931.

Measurement of stigma

The Social Impact Scale (SIS), developed to assess the level of stigmatization for individuals with cancer or HIV/AIDS [21], has been applied to different populations with good reliability [22]. The 24-item SIS examined 4 domains of stigma: social rejection, financial insecurity, internalized shame, and social isolation. Responses to the scale were given on a 4-point Likert-type scale. Cronbach’s α coefficient for the scale was 0.947 in this study.

Measurement of hope

The Herth Hope Index (HHI) [23] was used to assess hope in clinical patients with 12 items, and each item had 4 response categories from 1 to 4. The total score ranges from 12 to 48, with a higher total score reflecting a higher level of hope. The Chinese version of the HHI has demonstrated reliability and validity in cancer patients [24]. Cronbach’s α was 0.809 in the sample group.

Measurement of social support

Social support was assessed using the 12-item version of the Multidimensional Scale of Perceived Social Support (MSPSS), which was developed by Zimet et al. [25]. This scale measured perceived social support from three domains: support from family, support from friends and support from significant others. The item has a 7-point rating ranging from “very strongly disagree” to “very strongly agree”. A higher total score reflects stronger social support. The Chinese version of the MSPSS was shown to have adequate reliability and validity for other cancer patients [26]. Cronbach’s alpha coefficient was 0.928 in the present research.

Statistical analyses

This study used one-way ANOVA/t-test to describe the mean scores of QoL for different categorical demographic and clinical variables. Pearson’s correlation analysis was used to analyse the correlation among QoL, stigma, hope, and perceived social support. Hierarchical multiple regression analysis was conducted to investigate the effects of influencing factors on QoL. In hierarchical regression analysis, gender, age and potential variables (which were associated with QoL in univariate analysis) were entered in step 1. Stigma was added in step 2. Finally, the independent variables hope and social support were entered in step 3. The indicators provided in the regression models included R2, adjusted R2, R2 change, F-value and standardization regression coefficient (β). SPSS for Windows (version 22.0) was used to perform the statistical analyses, with a two-tailed P-value of < 0.05 considered to be statistically significant.

Results

Descriptive statistics

Demographic and clinical characteristics of the patients and the FACT-H&N scores for different categories of variables are shown in Table 1. Of the 230 patients, 135 (58.69%) were men, and 95 (41.31%) were women. The age of the patients ranged from 18 to 92 years, and the mean (SD) age was 56.13 (13.54) years old. A total of 89.13% of the participants were married or cohabiting, and 145 (63%) had a household monthly income under 3000 yuan. With regard to clinical variables, only 52 (22.6%) of the patients had undertaken reparative therapy, and 182 (79.1%) of the patients used marginal mandibulectomy. Of all the variables, the FACT-H&N scores were significantly different among the different categories of variables, including gender (t = 7.060, p = 0.008), marital status (t = 6.496, p = 0.011), residence (t = 5.119, p = 0.025), educational background (F = 3.527, p = 0.029), mandibulectomy (t = 2.644, p = 0.009), and distant metastasis (t = 2.951, p = 0.003); however, the differences in the other variables were not statistically significant.

Table 1 Demographic and clinical characteristics and the score of QoL among oral cancer patients

Correlation between continuous resources and QoL

The results of correlation analyses between the continuous variables are presented in Table 2. The mean QoL score among oral cancer patients was 90.85 ± 20.15. FACT-H&N scores were negatively and significantly correlated with stigma (r = −0.700, p < 0.01) and positively and significantly correlated with hope (r = 0.415, p<0.01) and perceived social support (r = 0.526, p < 0.01).

Table 2 Scores and correlation of FACT-H&N with other variables

Hierarchical multiple regression analysis

As shown in Table 3, all the independent variables that were associated with oral cancer patients’ QoL in univariate analysis (p < 0.05) were entered into the hierarchical multiple regression model. Each step of independent variables made a significant contribution to the variance in QoL. In step 1, demographic characteristics, including gender, marital status, residence area, and education level, and clinical variables, including distant metastasis and mandibulectomy as a whole, accounted for 9.9% of the variance in QoL. In step 2, after controlling for demographic and clinical characteristics, this study found stigma to be significantly and negatively associated with QoL. Stigma exerted a significant effect on the QoL of oral cancer patients (F = 26.855, adjusted R2 = 0.504, R2 change = 0.393). In step 3, positive psychological resources, including hope and perceived social support, were added into the model, and they were significantly positively associated with QoL. The two independent variables accounted for 8.1% of the variance in QoL. In addition, all variables in the model could explain 58.5% of the variance in QoL.

Table 3 Hierarchical multiple regression analysis results of QoL

Discussion

This relatively large-scale cross-sectional study of patients with oral cancer was conducted in the northeastern region of China and was the first study to examine the effects of stigma, hope and social support on QoL in China. Our findings showed that the mean QoL score among Chinese patients with oral cancer was 90.85 ± 20.15, which is lower than that of patients with other head and neck cancers in China (such as nasopharyngeal carcinoma and laryngeal cancer patients) [27, 28]. In addition, Tulio et al. indicated that in Brazil, the mean FACT-H&N score was 96.6 ± 20.5 [29]. In Williams’ research, the median FACT-H&N score was 110.20 in America [30]. Dominika et al. reported that in Poland, the mean FACT-H&N score was 109.19 [31]. By contrast, the QoL of Chinese oral cancer patients in our study was low. Although there is continual progress in diagnosis and treatment technology and it is becoming increasingly convenient to obtain quality care in China, our results found that Chinese patients with oral cancer still suffered from poor QoL. Therefore, it is very important to identify the essential influencing factors and targeted solutions to improve their QoL.

Among all the demographic and clinical variables, some variables were related to QoL, including marital status, residence area, educational level, undergone mandibulectomy and distant metastasis. These factors in combination explained 9.9% of the variance in the QoL of patients with oral cancer. The findings of our study showed that patients with a college education or higher had a higher QoL score, which echoed the findings of Liu’s study [32]. On the one hand, higher education levels were proven to be positively related to high resilience [33], and resilient patients are always considered to possess stronger abilities to rebound from frustration and tragedy [34]. On the other hand, patients with higher education have more access enabling them to obtain disease-related knowledge and better understand their condition. This result indicated that more communication between medical workers and patients is essential for improving patient QoL. Moreover, as the results showed, patients with distant metastasis had the lowest QoL in this study. However, metastasis is one of the main causes of oral cancer patient death, which is the worst negative event among cancer patients [35]. In addition to oral cancer, metastasis has been confirmed as an adverse influential factor in many other cancers in several studies [36,37,38].

One of the core findings in this study was that stigma alone explained more than one-third of the variance in QoL. Specifically, stigma was found to be significantly negatively associated with QoL, which was consistent with previous studies [39, 40]. Treatment for oral cancer is complex, which can lead to functionality issues such as dysphagia and breathing difficulties, as well as a cosmetic burden with facial disfigurement. However, facial disfigurement is always associated with the development of shame and the perception of stigma [11]. The sense of inner shame plays a crucial role in these patients’ self-evaluation processes. High levels of stigma not only have a negative impact on follow-up treatments, including treatment compliance, treatment-seeking behaviours, self-esteem and social adaptation, but are also harmful to patients’ recovery, seriously impairing their QoL. Noticeably, the mean stigma score of the participants in this study was found to be higher than that of their counterparts in other countries [41,42,43], which may partly explain why Chinese patients with oral cancer experienced poor QoL. However, to our knowledge, there are no other published clinical interventions addressing stigma in oral cancer patients so far [42]. Therefore, future studies should focus more on positive psychological factors that may be relevant when stigma impacts oral cancer patients’ QoL.

In this study, perceived social support and hope were found to be positively associated with the QoL of patients with oral cancer. Patients with a high level of hope were likely to experience high QoL, which is consistent with a previous study [44]. Furthermore, a higher level of hope was confirmed to be associated with lower rates of alcohol and cigarette abuse, more frequent exercise and better nutrition, which are critical factors in preventing cancer recurrence and increasing QoL [45]. As can be expected, oral cancer patients with higher levels of hope experience higher QoL because they are more confident both in daily life and in disease states. Thus, strengthening hope is an important strategy to increase the QoL of patients with oral cancer in China. In addition, we found that social support was a predictive factor for QoL and was positively associated with QoL. A previous study showed that the absence of social support after diagnosis and during treatment was associated with the development of depression and anxiety and eventually affected the treatment effect [46]. Likewise, Hodges also indicated in their study that social support was positively related to patients’ QoL and promoted well-being, ultimately improving QoL [47]. Therefore, more social support from family and friends is essential to improve overall QoL.

The most important value of this study is that we identified that stigma was significantly negatively associated with QoL in oral cancer patients. In addition, our study has added to the evidence that the positive resources of hope and social support were positively associated with QoL in oral cancer patients. Based on our findings, some implications should be mentioned. First, Chinese medical institutions and government should pay more attention to oral cancer patients with low levels of QoL. Second, it is important for clinicians and nurses to pay more attention to patients with distant metastasis. Third, more attention should be devoted to patients with high stigma. Some studies have confirmed that contact with health professionals and the community [48], peer counselling [49], skill building and empowerment [50] were efficient for decreasing stigma. Thus, future research should focus more on longitudinal studies to determine whether reducing stigma helps improve QoL. Finally, health care organizations should recognize the importance of psychological strengths for oral cancer patients to combat severe diseases. More target intervention strategies should be conducted in future studies.

Nonetheless, there were some limitations in our study. First, because of the cross-sectional design and self-report measures, no conclusions could be drawn about a causal relationship between psychosocial resources and QoL. Second, this study was conducted in one city from a province of the northeastern region of China. The representativeness of the sample might thus be affected. Third, a control group should be included in our study. Thus, the interpretation of the results would be more convincing. Last, several potential factors, such as recurrence and pathological stage, may affect the QoL of patients with oral cancer, which we did not include in our study. A larger and longitudinal study should be conducted in future research.

Conclusion

In conclusion, our study shows that patients with oral cancer in northeastern China suffer from relatively low QoL. Stigma was significantly and negatively associated with QoL, while hope and perceived social support were positively associated with QoL. Thus, in clinical practice, more attention should be devoted to patients’ psychological status, and more social support from family, friends or clinical workers should be provided to Chinese oral cancer patients. More importantly, more psychological intervention based on positive psychological resources should be introduced to improve QoL.

Availability of data and materials

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

Abbreviations

WHO:

World Health Organization

NCCRC:

National Central Cancer Registry of China

QoL:

Quality of Life

FACT-H&N:

the Functional Assessment of Cancer Therapy-Head and Neck

SIS:

the Social Impact Scale

HHI:

the Herth Hope Index

MSPSS:

the Multidimensional Scale of Perceived Social Support

SD:

Standard deviation

References

  1. 1.

    Zhang S-K, Zheng R, Chen Q, Zhang S, Sun X, Chen W. Oral cancer incidence and mortality in China, 2011. Chin J Cancer Res. 2015;27:44–51.

  2. 2.

    Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68:394–424.

  3. 3.

    Chen WQ, Sun KX, Zheng RS, Zeng HM, Zhang SW, Xia CF, Yang ZX, Li H, Zou XN, He J. Cancer incidence and mortality in China, 2014. Chin J Cancer Res. 2018;30:1–12.

  4. 4.

    Tahani B, Razavi SM, Emami H, et al. Assessment of the quality of life of the patients with treated oral cancer in Iran. Oral Maxillofac Surg. 2017;21(8):1–9.

  5. 5.

    Zhang X, Zhang L, Tan X, Lin Y, Han X, Wang H, Ming H, Li Q, Liu K, Feng G. Systematic analysis of genes involved in oral cancer metastasis to lymph nodes. Cell Mol Biol Lett. 2018;23:1.

  6. 6.

    Hall PH. Book reviews: Stigma: notes on the management of spoiled identity by Professor Erving Goffman. Published by Pelican Books, 1968. Pp 173. Price: 25p. Int J Soc Psychiatry. 1971;17:239.

  7. 7.

    Link BG, Phelan JC. Conceptualizing stigma. Annu Rev Sociol. 2001;27:363–85.

  8. 8.

    Lebel S, Devins GM. Stigma in cancer patients whose behavior may have contributed to their disease. Future Oncol. 2008;4(5):717–33.

  9. 9.

    Cataldo JK, Brodsky JL. Lung cancer stigma, anxiety, depression and symptom severity. Oncology. 2013;85(1):33–40.

  10. 10.

    Gonzalez BD, Jacobsen PB. Depression in lung cancer patients: the role of perceived stigma. Psychooncology. 2012;21(3):239–46.

  11. 11.

    Kissane DW, Patel SG, Baser RE, Bell R, Farberov M, Ostroff JS, Li Y, Singh B, Kraus DH, Shah JP. Preliminary evaluation of the reliability and validity of the shame and stigma scale in head and neck cancer. Head Neck. 2013;35:172–83.

  12. 12.

    Dufault K, Martocchio BC. Symposium on compassionate care and the dying experience. Hope: its spheres and dimensions. Nurs Clin North Am. 1985;20:379–91.

  13. 13.

    Mahendran R, Chua SM, Lim HA, Yee IJ, Tan JYS, Kua EH, Griva K. Biopsychosocial correlates of hope in Asian patients with cancer: a systematic review. BMJ Open. 2016;6:e012087.

  14. 14.

    Wallston BS, Alagna SW, DeVellis BM, DeVellis RF. Social support and physical health. Health Psychol. 1983;2:367–91.

  15. 15.

    Ganz PA, Guadagnoli E, Landrum MB, Lash TL, Rakowski W, Silliman RA. Breast cancer in older women: quality of life and psychosocial adjustment in the 15 months after diagnosis. J Clin Oncol Off J Am Soc Clin Oncol. 2003;21:4027–33.

  16. 16.

    Santos S, Crespo C, Canavarro MC, Kazak AE. Family rituals and quality of life in children with cancer and their parents: the role of family cohesion and hope. J Pediatr Psychol. 2015;40:664–71.

  17. 17.

    Ng CG, Mohamed S, See MH, Harun F, Dahlui M, Sulaiman AH, Zainal NZ, Taib NA. My BCCSg: anxiety, depression, perceived social support and quality of life in Malaysian breast cancer patients: a 1-year prospective study. Health Qual Life Outcomes. 2015;13:205.

  18. 18.

    Bilal S, Doss JG, Cella D, et al. Quality of life associated factors in head and neck cancer patients in a developing country using the FACT-H&N. J Cranio-Maxillofac Surg. 2015;43(2):274–80.

  19. 19.

    Bilalab S, Dossab JG, Rogersc SN. The use of the FACT-H&N (v4) in clinical settings within a developing country: a mixed method study. J Craniomaxillofac Surg. 2014;42(8):1590–7.

  20. 20.

    Doss JG, Thomson WM, Drummond BK, Raja Latifah RJ. Validity of the FACT-H&N (v 4.0) among Malaysian oral cancer patients. Oral Oncol. 2011;47:648–52.

  21. 21.

    Yan Y, Mao C, Peng X. Usage of FACT-H&N on measuring quality of life in patients with oral squamous cell carcinoma. J Pract Stomatol. 2010;5:605–8 (in Chinese).

  22. 22.

    Fife BL, Wright ER. The dimensionality of stigma: a comparison of its impact on the self of persons with HIV/AIDS and cancer. J Health Soc Behav. 2000;41:50–67.

  23. 23.

    Pan AW, Chung L, Fife BL, Hsiung PC. Evaluation of the psychometrics of the social impact scale: a measure of stigmatization. Int J Rehabil Res. 2007;30:235–8.

  24. 24.

    Herth K. Development and refinement of an instrument to measure hope. Sch Inq Nurs Pract. 1991;5:39–51 discussion 53-36.

  25. 25.

    Yanhua W. Study on feasibility of Chinese version of Herth hope index for cancer patients. Chinese nursing research; 2010.

  26. 26.

    Zimet GD, Dahlem NW, Zimet SG, Farley GK. The multidimensional scale of perceived social support. J Pers Assess. 1988;52:30–41.

  27. 27.

    Yingying L, Lu Y, Chen G, Haijun C, Cheng H, Zhendong C. Prospective memory impairment and its correlation with quality of life in patients with nasopharyngeal carcinoma after radiotherapy. Acta Univ Med Anhui. 2018;53(11):1810–2 (in Chinese).

  28. 28.

    Feng S, Yan S. Study on the change of life quality in patients with throat cancer after surgery. J Otolaryngol Ophthalmol Shandong Univ. 2010;16(24):50–1 (in Chinese).

  29. 29.

    Nogueira TE, Adorno M, Mendonca E, Leles C. Factors associated with the quality of life of subjects with facial disfigurement due to surgical treatment of head and neck cancer. Med Oral Patol Oral Cir Bucal. 2018;23:E132–7.

  30. 30.

    Williams AM, Lindholm J, Cook D, Siddiqui F, Ghanem TA, Chang SS. Association between cognitive function and quality of life in patients with head and neck cancer. JAMA Otolaryngol Head Neck Surg. 2017;143:1228–35.

  31. 31.

    Babinska D, Barczynski M, Oseka T, Sledzinski M, Lachinski AJ. Comparison of perioperative stress in patients undergoing thyroid surgery with and without neuromonitoring-a pilot study. Langenbeck's Arch Surg. 2017;402:719–25.

  32. 32.

    Liu L, Xu X, Xu N, Wang L. Disease activity, resilience and health-related quality of life in Chinese patients with rheumatoid arthritis: a multi-center, cross-sectional study. Health Qual Life Outcomes. 2017;15:149.

  33. 33.

    Youssef-Morgan CM, Luthans F. Psychological capital and well-being. Stress Health. 2015;31:180–8.

  34. 34.

    Martínez-Martí ML, Ruch W. Character strengths predict resilience over and above positive affect, self-efficacy, optimism, social support, self-esteem, and life satisfaction. J Posit Psychol. 2017;12:110–9.

  35. 35.

    Zhang X, Zhang L, Tan X, Lin Y, Han X, Wang H, Ming H, Li Q, Liu K, Feng G. Systematic analysis of genes involved in oral cancer metastasis to lymph nodes. Cell Mol Biol Lett. 2018;23:53.

  36. 36.

    Qiao CX, Zhai XF, Ling CQ, Lang QB, Dong HJ, Liu Q, Li MD. Health-related quality of life evaluated by tumor node metastasis staging system in patients with hepatocellular carcinoma. World J Gastroenterol. 2012;18:2689–94.

  37. 37.

    Cramer H, Lauche R, Klose P, Lange S, Langhorst J, Dobos GJ. Yoga for improving health-related quality of life, mental health and cancer-related symptoms in women diagnosed with breast cancer. Cochrane Database Syst Rev. 2017;1:Cd010802.

  38. 38.

    Ahmed AE, Almuzaini AS, Alsadhan MA, Alharbi AG, Almuzaini HS, Ali YZ, Jazieh AR. Health-related predictors of quality of life in cancer patients in Saudi Arabia. J Cancer Educ. 2018;33:1011–9.

  39. 39.

    Ow CY, Lee BO. Relationships between perceived stigma, coping orientations, self-esteem, and quality of life in patients with schizophrenia. Asia Pac J Public Health. 2015;27:Np1932–41.

  40. 40.

    Li Z, Rui Y, Qiuhua Z, Yu Y. Relationship model between stigma, family function and quality of life in breast cancer patients. Nurs Res. 2017;31(11):1333–6 (in Chinese).

  41. 41.

    Cheng CM, Chang CC, Wang JD, Chang KC, Ting SY, Lin CY. Negative impacts of self-stigma on the quality of life of patients in methadone maintenance treatment: the mediated roles of psychological distress and social functioning. Int J Environ Res Public Health. 2019;16:1299.

  42. 42.

    Chambers SK, Baade P, Youl P, Aitken J, Occhipinti S, Vinod S, Valery PC, Garvey G, Fong KM, Ball D, et al. Psychological distress and quality of life in lung cancer: the role of health-related stigma, illness appraisals and social constraints. Psychooncology. 2015;24:1569–77.

  43. 43.

    Hasan Shiri F, Mohtashami J, Nasiri M, Manoochehri H, Rohani C. Stigma and related factors in Iranian people with cancer. Asian Pac J Cancer Prev. 2018;19:2285–90.

  44. 44.

    Stanton AL, Danoff-Burg S, Cameron CL, Bishop M, Collins CA, Kirk SB, Sworowski LA, Twillman R. Emotionally expressive coping predicts psychological and physical adjustment to breast cancer. J Consult Clin Psychol. 2000;68:875–82.

  45. 45.

    Berg CJ, Vanderpool RC, Getachew B, Payne JB, Johnson MF, Sandridge Y, Bierhoff J, Le L, Johnson R, Weber A, et al. A hope-based intervention to address disrupted goal pursuits and quality of life among young adult cancer survivors. J Cancer Educ. 2019. https://doi.org/10.1007/s13187-019-01574-7.

  46. 46.

    Thompson T, Perez M, Kreuter M, Margenthaler J, Colditz G, Jeffe DB. Perceived social support in African American breast cancer patients: predictors and effects. Soc Sci Med. 2017;192:134–42.

  47. 47.

    Hodges K, Winstanley S. Effects of optimism, social support, fighting spirit, cancer worry and internal health locus of control on positive affect in cancer survivors: a path analysis. Stress Health. 2012;28:408–15.

  48. 48.

    Uys L, Chirwa M, Kohi T, Greeff M, Naidoo J, Makoae L, Dlamini P, Durrheim K, Cuca Y, Holzemer WL. Evaluation of a health setting-based stigma intervention in five African countries. AIDS Patient Care STDs. 2009;23:1059–66.

  49. 49.

    Lusli M, Peters R, van Brakel W, Zweekhorst M, Iancu S, Bunders J, Irwanto, Regeer B. The impact of a rights-based counselling intervention to reduce stigma in people affected by leprosy in Indonesia. PLoS Negl Trop Dis. 2016;10:e0005088.

  50. 50.

    Ebenso B, Ayuba M. ‘Money is the vehicle of interaction’: insight into social integration of people affected by leprosy in northern Nigeria. Lepr Rev. 2010;81:99–110.

Download references

Acknowledgments

We would like to thank all the patients who voluntarily participated in this study and research assistants who performed the data collection.

Funding

There were no funding sources.

Author information

Affiliations

Authors

Contributions

YZ carried out data collection, analysis, interpretation, and wrote the paper. CYC performed data collection, clean the data and revised the paper. YW participated in literature search and data collection. LW organized this investigation and supervised the data collection, statistical analysis and paper writing. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Lie Wang.

Ethics declarations

Ethics approval and consent to participate

All patients provided their informed written consent. This study was approved by the Committee on Human Experimentation of China Medical University.

Consent for publication

No applicable.

Competing interests

There were no competing interests.

Additional information

Publisher’s Note

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

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Zhang, Y., Cui, C., Wang, Y. et al. Effects of stigma, hope and social support on quality of life among Chinese patients diagnosed with oral cancer: a cross-sectional study. Health Qual Life Outcomes 18, 112 (2020). https://doi.org/10.1186/s12955-020-01353-9

Download citation

Keywords

  • Oral cancer
  • Stigma
  • Hope
  • Social support
  • Quality of life