Impact Factor 2.067 | CiteScore 3.2
More on impact ›

Original Research ARTICLE

Front. Psychol., 28 August 2019 | https://doi.org/10.3389/fpsyg.2019.01994

Self-Perceived Pain in Chinese Patients With Cancer

Yongfu Zhang1†, Xiaomin Tan2†, Wengao Li3†, Hongmei Wang4†, Hengwen Sun5, Ting Liu3, Jingying Zhang3, Bin Zhang3 and Yuan Yang3*
  • 1Department of Anesthesiology, Guangzhou Women and Children’s Medical Center, Guangzhou, China
  • 2Department of Educational Administration, Nanfang Hospital, Southern Medical University, Guangzhou, China
  • 3Department of Psychiatry, Nanfang Hospital, Southern Medical University, Guangzhou, China
  • 4Department of Radiotherapy, Nanfang Hospital, Southern Medical University, Guangzhou, China
  • 5Department of Radiation, Cancer Center of Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China

Background: Pain is one of the most burdensome and prevalent symptoms cancer patient report and it has severe negative impact on patient’s quality of life. The aim of this study is to estimate the prevalence of pain and to test the association between demographic, clinical, psychological factors, and self-assessed pain in Chinese cancer population.

Methods: A total of 553 cancer patients were recruited in this cross-sectional study. Patient’s basic demographic data was collected by a study-designed information sheet, and patient’s pain, sleep disturbance and psychological distress were assessed by several validated measurements (MPQ-SF, AIS, FoP-Q-SF, PHQ-9, and GAD-7). Descriptive statistics and hierarchical multiple regression analyses were performed.

Results: Of the 553 patients, 411 (74.32%) patients reported that they experience some degree of pain. Fear of progression, anxiety, insomnia, and depressive symptoms were significantly associated with different subscales and the overall pain score in bivariate correlation matrix. Insomnia, depressive symptoms, and fear of cancer progression were significant independent factors of cancer pain on multivariate analyses.

Conclusion: Psychological factors play a great role in the relationship between objective pathophysiology and patient’s subjective experience of pain. It is important to evaluate each individual in detail with respect to psychological distress and pain severity when planning treatment and rehabilitation.

Introduction

Suffering comes in many ways for cancer patients, and pain is one of the most burdensome and prevalent symptoms they report. Over 30% of cancer patients describe their pain as distressing or even intolerable (Breivik et al., 2009). Cancer treatment such as surgery, radiotherapy, and chemotherapy cause significant acute and chronic pain (Miller et al., 2018). It has been reported that nearly half of cancer patients experience pain, and about 40% of cancer survivors develop chronic pain (Miller et al., 2018). A western meta-analysis in 2016 reported that pain prevalence rates were 55% during cancer treatment, 39.3% post treatment, and 66.4% in metastatic or terminal disease (van den Beuken-van Everdingen et al., 2016). In mainland China, 49.8–80% of cancer patients report some degree of pain, and 11–30% of them reported high level of pain (Wang, 2006; Chen, 2007; Liang, 2016; Tang, 2017).

Pain has severe negative influence on cancer patient’s quality of life (QoL). Patients often report that pain prevents them from focusing or thinking, and that it makes difficulty in performing normal daily activities (Breivik et al., 2009). Studies also found significant relationship between persistent pain experience and emotional connectedness difficulties, and this relationship was mediated by psychological distress (Henne et al., 2015). Thus, researchers highlighted the importance of providing adequate pain treatment which may help to result in clinically improvements in health-related QoL (Puetzler et al., 2014).

Pain is influenced by several physiological, psychological, and behavioral factors (Potter et al., 2014). Studies found that patients with higher levels of psychological distress tended to report greater self-perceived pain as well as decreased self-perceived function (Block et al., 2001; Chaichana et al., 2011), and anxiety, depression, and insomnia symptoms were consistently found to be correlated with the severity of pain (Fishbain et al., 1997; Wilson et al., 2002; Davison and Jhangri, 2005). Additionally, a recent review concluded that depression was a possible predictor in the transition from acute to chronic pain in non-cancer patients (Hruschak and Cochran, 2018). Besides depression, this review also suggested that “fear-avoidance” beliefs in the form of cognitive expectances was another significant predictor in chronicity (Hruschak and Cochran, 2018). However, these factors have not been thoroughly investigated in cancer populations. As one of the most prevalent emotional burdens for cancer patients, fear of cancer progression (FoP) has received increasing attention in recent years. Significant negative associations were found between FoP and medicine adherence, QoL and patient’s psychosocial well-being (Dinkel et al., 2014), and higher FoP was consistently found to be related to more physical symptoms (Koch et al., 2013). However, to the author’s best knowledge, no study has previously investigated the association of FoP and cancer pain.

As suggested by the biopsychosocial models, an increasing number of researchers have delineated psychosocial variables to be important correlates of pain intensity (Vranceanu et al., 2009). However, data on pain prevalence and its influencing factors in Chinese cancer populations are limited, and those studies were all published in Chinese and the majority of them only included small sample size and used single-item question to assess pain. Liang (2016) found that gender, education background, cancer stage, as well as type of painkiller significantly influenced patient’s pain levels, while Chen’s study indicated that lower family income, higher levels of anxiety and depression were associated with severer pain (Chen, 2007). A new study in 2018 suggested that patient’s age, self-efficacy, and coping strategy significantly predicted a cancer patient’s self-perceived pain (Chen, 2018).

In the current study, we aim to (1) estimate the prevalence of pain in Chinese cancer population using validated measurements; (2) test whether demographic, clinical as well as psychological factors are correlated with cancer pain; and (3) assess the relevance between pain and FoP. We hypothesize that: (1) compared to demographic and clinical variables, psychological factors play greater role in patient’s self-perceived pain; (2) anxiety, depression, and insomnia symptoms are positively associated with cancer pain; and (3) patients who report higher FoP are more likely to report greater pain.

Materials and Methods

Study Design and Setting

This is a cross-sectional study that involved three main hospitals in southern China. A power analysis was performed before recruitment to determine study sample size. All participants were recruited from the department of oncology (Nanfang Hospital), department of breast surgery (Guangzhou Women and Children’s Medical Center), and department of radiotherapy (Guangdong Provincial People’s Hospital) from January to October 2018. To be included in the study, participants needed to: (1) be above 18 years old; (2) had a clear diagnosis of cancer; (3) be able to read and write Mandarin or Cantonese. Participants were excluded if they had disturbance of consciousness, blind, or deaf.

Measures

Demographic and Clinical Data

Patient’s basic demographic (i.e., age, gender etc.) and clinical (i.e., cancer site, cancer stage etc.) data were collected by a specific question sheet. Information about patient’s treatment received (chemotherapy and radiotherapy), smoking behavior, and physical comorbidity were assessed by “Yes/No” questions. Patient’s personality tendency was measured by a single question derived from the Chinese version Personality Traits Questionnaire (Yan, 2013): what do you think is your dominant personality trait (Positive or Negative)? For patients who were uncertain about their disease stage, information was collected from the individual’s medical notes.

The McGill Pain Questionnaire-Short Form (MPQ-SF)

The MPQ-SF (Melzack, 1987) is one of the most widely used tests for the measurement of pain and has been validated into Chinese language in 2013. The Chinese version of MPQ-SF has 17 items in total which consists of three subscales: pain rating index (PRI, item 1–15), visual analog scale (VAS, item 16), and present pain intensity (PPI, item 17). Item 1–11 represent the sensory dimension (PRI-sensory) of pain experience and item 12–15 represent the affective dimension (PRI-affective). These 15 PRI descriptors are rated on a Likert-type scale as 0 = none, 1 = mild, 2 = moderate, and 3 = severe, while the score of VAS (item 16) ranges from 0 (no pain) to 100 (worst possible pain), and the PPI (item 17) score ranges from 0 (no pain) to 5 (excruciating) (Peng and Zhang, 2013).

Athens Insomnia Scale (AIS)

The AIS (Soldatos et al., 2000) is commonly utilized in clinical practice as an instrument to assess the intensity of sleep-related problems, and it is also used as a screener in reliably establishing the diagnosis of insomnia. The AIS includes eight items. The first five are related to nocturnal sleep and the last three items are related to daytime dysfunction. All of the items are scored on a Likert-type scale ranging from 0 (no problem/none) to 3 (serious problem), and an individual’s sleep outcome is finally evaluated by the sum score of all items. The Cronbach’s alpha of AIS is 0.89 which shows satisfactory internal consistency. A cut-off of ≥6 on the AIS is used to assist the diagnosis of insomnia (Soldatos et al., 2003).

Fear of Progression Questionnaire-Short Form (FoP-Q-SF)

The FoP-Q-SF is a 12-item scale used to assess cancer patient’s fear of progression. It is the short form of the original 43-item Fear of Progression Questionnaire (FoP-Q) (Herschbach et al., 2005). All of the items are rated on a 5-point Likert scale, ranging from 1 (never) to 5 (very often). The resulting cumulative score of the FoP-Q-SF ranges from 12 to 60, and a score of 34 or above indicates a dysfunctional level of FoP (Herschbach et al., 2010). The psychometric properties of the Chinese FoP-Q-SF is satisfactory (Cronbach’s alpha = 0.883) (Wu et al., 2015).

Patient Health Questionnaire (PHQ-9)

The PHQ is a 9-item self-assessed measure that evaluates the degree of an individual’s depressive symptoms. The item of PHQ ranges from 0 (not at all) to 3 (almost everyday) (Kroenke et al., 2010) and it has been validated in several specific clinical populations. The Chinese version of the scale showed excellent psychometric properties (internal consistency = 0.89) (Chen et al., 2015). A total score of ≥5 on the PHQ-9 indicated depressive symptoms.

General Anxiety Disorder Scale (GAD-7)

The GAD is a 7-item scale used to measure a person’s anxiety level. Response options are not at all, several days, more than half the days, and nearly every day, rated as 0, 1, 2, and 3, respectively (Spitzer et al., 2006). The original internal consistency of the scale was good (Cronbach’s alpha = 0.92), and the Chinese version’s Cronbach’s alpha was 0.91 (Zheng, 2013). A sum score of 5 or more indicated anxiety symptoms.

The Holmes-Rahe Life Stress Inventory

The Life Stress Inventory was developed to test the relationship between illness and stress (Holmes and Rahe, 1967). It is also commonly known as the Social Readjustment Rating Scale (SRRS) and has been validated in Chinese (Yang and Zhang, 1999). Forty-three major life stressors (such as death of a spouse/child, divorce, and retirement, etc.) were listed to test an individual’s stress level. The more of the stressors one individual experienced, the higher risk of illness.

Data Collection

Patients were consecutively recruited from three hospitals. All patients were approached in the waiting room before their appointment with their oncologist and were asked for participation. For those who showed interest in participating, a written informed consent form was provided, then they were asked to complete the information sheet and all scales. Participants were ensured that their personal information would be kept confidential and they could withdraw their participation at any time. The hospital Research Ethics Committee examined and approved the study (Ref No: NFEC-2018-038).

Data Analysis

Statistical analyses were preformed using SPSS version 22.0 and the cutoff for statistical significance was set at 0.05 (2 sided). Descriptive statistics were used to calculate frequencies, means, and standard deviations. Difference in means were investigated using a t test for independent samples. Analysis of variance and post hoc test were used to identify group effects. Continuous variables that were not normally distributed were analyzed using Mann-Whitney U tests or Kruskal-Wallis tests (K-W tests), as appropriate. The associations between continuous variables were assessed using Pearson’s correlation analysis if the variables were normally distributed, otherwise, Spearman’s correlation was utilized. Hierarchical regression analyses were subsequently conducted to ascertain the associated factors of cancer pain (three subscales: PRI, VAS, and PPI). Three blocks were orderly included in each regression analyses. Demographic factors were entered in the first block, followed by the clinical/treatment factors, and the final block involved the psychological variables.

Results

Patient Characteristics

A total of 887 patients were invited to participate the study and 566 (63.81%) of them agreed. Thirteen patients were then excluded from the study because they were teenagers (age under 18 years). Finally, 553 patients completed the survey. The mean age of patients is 47.23 (SD = 11.26, ranged from 23 to 90). The majority of the participants were female (91.7%), married (87.5%), diagnosed with breast cancer (84.6%), non-current smoker (96.2%) and had received chemotherapy (90.6%), and radiotherapy (86.6%). All participants were currently receiving active treatment (radiation/chemotherapy/drugs). Less than half of the participants experienced clinical insomnia (40.7%), FoP (29.8%), depressive or anxiety symptoms (42.0 and 30.7%, respectively). Of the 553 participants, 142 (25.68%) patients reported no pain (total score = 0), and the remaining 411 (74.32%) patients reported some degree of pain. Patient’s demographic, clinical as well as psychological characteristics are presented in Table 1.

TABLE 1
www.frontiersin.org

Table 1. Demographic, clinical, and psychological characteristics of participants (N = 553).

Univariate Analysis

On univariate analysis, low monthly income, insomnia, FoP, depressive, and anxiety symptoms were significantly associated with greater cancer pain (PRI-total, VAS, and PPI subscales). Patients who were older were more likely to report higher scores on PRI-total and VAS. Compared to pessimists, optimists reported lower ratings on PRI-total and PPI. Additionally, we found patients who were experiencing more stressful life events were more likely to report higher levels of pain on PRI-total and PPI (see Table 1).

Correlations Between Continuous Variables

Table 2 presents the bivariate correlation matrix of continuous study variables. Score of FoP, anxiety, insomnia, and depressive symptoms were significantly associated with different subscales of pain score. The only non-significant correlation in the matrix was between insomnia symptoms and VAS (r = 0.052).

TABLE 2
www.frontiersin.org

Table 2. Bivariate correlation matrix of continuous study variables.

Hierarchical Regression Model

The corresponding factors that shown significant correlation with cancer pain in previous univariate analyses were then introduced in each regression model (PRI-total, VAS, and PPI model) accordingly as independent variables. Demographic, clinical, and psychological factors were orderly entered in blocks as model 1, 2, and 3. The Durbin-Watson (DW) value of each model, which was a number that tested for autocorrelation in the residuals, was all satisfactory (ranged from 1.820 to 2.184). The variance inflation factor (VIF) (Vatcheva et al., 2016), which quantified the severity of multicolinearity, was all less than 10 (ranged from 1.00 to 3.86).

Tables 3ac present the results of hierarchical multiple regression of the variables associated with PRI-Total, VAS, and PPI. Among all the tested variables, depressive symptom appeared to have the strongest association with PRI-Total (β = 0.333, P < 0.001), VAS (β = 0.159, P = 0.043) and PPI (β = 0.301, P < 0.001), which demonstrated that those who were depressed were at higher risk of experiencing greater pain. FoP was the second strongest factor associated with PRI-Total (β = 0.231, P < 0.001) and VAS (β = 0.142, P = 0.004), however, it was not significantly associated with PPI. Insomnia symptom was positively associated with PRI-Total (β = 0.096, P = 0.012) and PPI (β = 0.080, P = 0.0497), however, it did not significantly correlate with VAS. Age, and anxiety symptom, were not statistically significant in all regression analyses. In all, for each regression model, psychological variables showed stronger association with patient’s pain experience than demographic as well as clinical factors.

TABLE 3a
www.frontiersin.org

Table 3. Hierarchical multiple regression of the factors associated with PRI-Total (n = 553).

TABLE 3b
www.frontiersin.org

Table 3. Hierarchical multiple regression of the factors associated with VAS (n = 553).

TABLE 3c
www.frontiersin.org

Table 3. Hierarchical multiple regression of the factors associated with PPI (n = 553).

Discussion

The current study is one of the few epidemiological studies that examined the factors associated with cancer patient’s pain experience in mainland China, and it is the first study to investigate the association of FoP and self-perceived pain. In the past, pain was seen only as a biomedical issue. However, nowadays, people have widely recognized the fact that psychological, social as well as environmental factors significantly influence a patient’s pain experience (Gatchel, 2004). Studies revealed that pain experienced over the disease course or during the final cancer stages is not linear or predictable, and an individual’s tolerance levels of pain could be impeded by emotional distress (Elliott, 2014). This highlighted the importance of psychological factors in coping with cancer pain.

In present, pain is considered as the fifth vital sign of a cancer patient’s well-being along with signs of respiration, blood pressure, temperature, and heart rate (Bultz and Carlson, 2006). Our study found that 74.32% of cancer patients in Southern China experience some degree of pain. This figure seemed higher than the rates reported by western researchers which indicated that pain prevalence averaged 50–55% across the continuum from diagnosis through survivorship/end of life (van den Beuken-van Everdingen, 2012; van den Beuken-van Everdingen et al., 2016). One possible reason is that various pain measures were utilized in different study samples, which impedes the direct comparison of results.

Evidence is irrefutable that psychosocial factors play a great role in the relationship between objective pathophysiology and patient’s subjective experience of pain (Vranceanu et al., 2009). As hypothesized, and consistent with existing studies, our study found that anxiety (Novy and Aigner, 2014), and depressive symptoms negatively impact a patient’s self-assessed pain (Cho et al., 2013). Previous studies have reported a high prevalence of depression in patients with chronic pain, and the figure is significantly higher than in the general population and in those without chronic pain (Fishbain et al., 1997; Davison and Jhangri, 2005). Additionally, strong evidence has been provided that depression, anxiety, and FoP were associated with the severity of physical symptoms (Pallant and Bailey, 2005; Chen, 2007, 2018; Koch et al., 2013). The related symptoms of loss of motivation, hopelessness, pessimism, fatigue, and disturbed sleep might be potential reasons to explain patient’s increased pain. Additionally, like kinesiophobia, a significant factor which hinders patient’s rehabilitation and prolongs disability as well as pain (Flanigan et al., 2015), FoP plays a similar role in cancer patient’s recovery and might contribute to the increase and/or maintenance of pain perception.

When coping cancer or other life-threatening diseases, personality is one of the most clearly documented variables (Allison et al., 2000) and has been widely considered as an significant independent variable (Llewellyn et al., 2007). However, in our study, personality was only significantly associated with PRI-total score. One potential reason is that in the current study, personality characteristics was assessed using single-item question, which was insufficient to examine the association in detail. In univariate analysis, patients with more stressful life events were more likely to experience cancer pain. However, the association was no longer significant in further regression analyses. Previous studies assumed that managing stressful life events could largely waste patient’s mental energy and resources (Mellon et al., 2007), therefore, makes them more vulnerable, both psychologically and physically.

Inconsistent with previous findings (Chen, 2007, 2018; Liang, 2016), this study found no relationship between age, gender, cancer stage and patient’s pain experience. Several studies reported that younger patients were more likely to report greater pain as well as pain-related distress (Avis et al., 2012; Cataldo et al., 2013; Krok et al., 2013), however, we found contrary results in our univariate analysis. The reason why we found contradictory results might due to the difference in study sample and participant’s cultural background. Pain issue is multifaceted and complex. Further prospective longitudinal studies are warranted to examine their effects in detail.

Limitations

There are a number of limitations of the current study. First of all, this study was based on a cross-sectional cohort, the causal relationships between tested variables and cancer pain are still unclear. Longitudinal cohort studies are necessary to identify causal associations. Second, patient’s insomnia, anxiety as well as depressive symptoms were measured only by self-rated questionnaires. No psychiatrist was involved to confirm clinical diagnosis. Also, single item question was used to measure patient’s personality tendency and no psychometric information was provided. Assessment bias may exist and can hardly be eliminated from cross-sectional studies. Further studies using more extensive and objective measurement tools would be beneficial. Third, only hospitals in southern China were included and the majority of the participants were female patients diagnosed with breast cancer. A potential sample bias may exist, and the research findings cannot be generalized to the entire Chinese cancer population. A national study with various cancer populations would be beneficial. Last but not least, more information about the clinical/treatment characteristics of the sample should be included, such as time since diagnosis and surgery type, as those factors may also impact patient’s pain experience.

Implication

Multidisciplinary groups are necessary in oncology settings to integrate care for pain management. It has been proved by previous meta-analysis and high-quality RCT studies that psychological and behavioral interventions could clinically improve patient’s cancer-related pain (Sheinfeld Gorin et al., 2012; Johannsen et al., 2013). Hypnosis and coping skill training that includes cognitive behavioral therapy components and relaxation with imagery have the strongest evidence in improving pain severity for patients across disease stage (Spiegel and Bloom, 1983; Goodwin et al., 2001). However, these specific pain treatments are inadequate in mainland China. In most of the cases, patients could not be ensured effective pain management (Liang, 2016). Thus, alongside the pharmacological management of pain, psychological pain management should be made more available in health care in China.

Conclusion

This study demonstrated that insomnia, depressive symptom, and fear of progression in cancer patients generally links to greater self-assessed pain. On the basis of the findings, it is important to evaluate each individual in detail with respect to psychological distress and pain severity when planning treatment and rehabilitation. Multidisciplinary helping groups and relevant coping skill training should be provided to improve patient’s pain management as well as their quality of life.

Data Availability

The datasets for this manuscript are not publicly available because further articles will be published based on the database. Requests to access the datasets should be directed to 306850475@qq.com.

Ethics Statement

This study was carried out in accordance with the recommendations of Clinical Research Guideline, Nanfang Hospital Research Ethics Committee with written informed consent from all subjects. All subjects gave written informed consent in accordance with the Declaration of Helsinki. The protocol was approved by the Hospital Research Ethics Committee (Ref No: NFEC-2018-038).

Author Contributions

YZ and YY: study design. XT, HW, and HS: data collection. WL, TL, and JZ: data analysis and interpretation. YZ, XT, WL, and HW: drafting of the manuscript. BZ and YY: revising of the manuscript. All the co-authors contributed to the approval of the final version for publication.

Funding

This study was funded by the Guangzhou Science and Technology Project (201804010132), the Science and Technology Project of Guangdong Province (2015A030302025), and the President Foundation of Nanfang Hospital, Southern Medical University (2017L001).

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We would like to thank all the participants and many colleagues who we have discussed this manuscript with.

References

Allison, P. J., Guichard, C., and Gilain, L. (2000). A prospective investigation of dispositional optimism as a predictor of health-related quality of life in head and neck cancer patients. Qual. Life Res. 9, 951–960.

PubMed Abstract | Google Scholar

Avis, N. E., Levine, B., Naughton, M. J., Case, D. L., Naftalis, E., and Van Zee, K. J. (2012). Explaining age-related differences in depression following breast cancer diagnosis and treatment. Breast Cancer Res. Treat. 136, 581–591. doi: 10.1007/s10549-012-2277-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Block, A. R., Ohnmeiss, D. D., Guyer, R. D., Rashbaum, R. F., and Hochschuler, S. H. (2001). The use of presurgical psychological screening to predict the outcome of spine surgery. Spine J. 1, 274–282. doi: 10.1016/s1529-9430(01)00054-7

CrossRef Full Text | Google Scholar

Breivik, H., Cherny, N., Collett, B., de Conno, F., Filbet, M., Foubert, A. J., et al. (2009). Cancer-related pain: a pan-European survey of prevalence, treatment, and patient attitudes. Ann. Oncol. 20, 1420–1433. doi: 10.1093/annonc/mdp001

PubMed Abstract | CrossRef Full Text | Google Scholar

Bultz, B. D., and Carlson, L. E. (2006). Emotional distress: the sixth vital sign–future directions in cancer care. Psychooncology 15, 93–95. doi: 10.1002/pon.1022

PubMed Abstract | CrossRef Full Text | Google Scholar

Cataldo, J. K., Paul, S., Cooper, B., Skerman, H., Alexander, K., Aouizerat, B., et al. (2013). Differences in the symptom experience of older versus younger oncology outpatients: a cross-sectional study. BMC Cancer 13:6. doi: 10.1186/1471-2407-13-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Chaichana, K. L., Mukherjee, D., Adogwa, O., Cheng, J. S., and McGirt, M. J. (2011). Correlation of preoperative depression and somatic perception scales with postoperative disability and quality of life after lumbar discectomy. J. Neurosurg. Spine 14, 261–267. doi: 10.3171/2010.10.SPINE10190

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, M., Sheng, L., and Qu, S. (2015). Diagnostic test of screening depressive disorder in general hospital with the Patient Health Questionnaire (in Chinese). Chin. Ment. Health 29, 241–245.

Google Scholar

Chen, Z. (2007). Influence of social psychological environmental factors on pain behaviors of cancer patients. J. Clin. Rehabil. Tissue Eng. Res. 11, 9521–9526.

Google Scholar

Chen, Z. (2018). Analysis of influencing factors in the field of quality of life symptoms in patients with cancer pain [in Chinese]. J. Hainan Med. 29, 275–279.

Google Scholar

Cho, C. H., Seo, H. J., Bae, K. C., Lee, K. J., Hwang, I., and Warner, J. J. (2013). The impact of depression and anxiety on self-assessed pain, disability, and quality of life in patients scheduled for rotator cuff repair. J. Shoulder Elbow Surg. 22, 1160–1166. doi: 10.1016/j.jse.2013.02.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Davison, S. N., and Jhangri, G. S. (2005). The impact of chronic pain on depression, sleep, and the desire to withdraw from dialysis in hemodialysis patients. J. Pain Symptom Manage. 30, 465–473. doi: 10.1016/j.jpainsymman.2005.05.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Dinkel, A., Kremsreiter, K., Marten-Mittag, B., and Lahmann, C. (2014). Comorbidity of fear of progression and anxiety disorders in cancer patients. Gen. Hosp. Psychiatry 36, 613–619. doi: 10.1016/j.genhosppsych.2014.08.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Elliott, E. (2014). Psychological impact of cancer pain on patients and their quality of life. Br. J. Nurs. 23, 805–806.

Google Scholar

Fishbain, D. A., Cutler, R., Rosomoff, H. L., and Rosomoff, R. S. (1997). Chronic pain-associated depression: antecedent or consequence of chronic pain? A review. Clin. J. Pain 13, 116–137. doi: 10.1097/00002508-199706000-00006

PubMed Abstract | CrossRef Full Text | Google Scholar

Flanigan, D. C., Everhart, J. S., and Glassman, A. H. (2015). Psychological factors affecting rehabilitation and outcomes following elective orthopaedic surgery. J. Am. Acad. Orthop. Surg. 23, 563–570. doi: 10.5435/JAAOS-D-14-00225

PubMed Abstract | CrossRef Full Text | Google Scholar

Gatchel, R. J. (2004). Comorbidity of chronic pain and mental health disorders: the biopsychosocial perspective. Am. Psychol. 59, 795–805. doi: 10.1037/0003-066x.59.8.795

PubMed Abstract | CrossRef Full Text | Google Scholar

Goodwin, P. J., Leszcz, M., Ennis, M., Koopmans, J., Vincent, L., Guther, H., et al. (2001). The effect of group psychosocial support on survival in metastatic breast cancer. N. Engl. J. Med. 345, 1719–1726.

Google Scholar

Henne, E., Morrissey, S., and Conlon, E. (2015). An investigation into the relationship between persistent pain, psychological distress and emotional connectedness. Psychol. Health Med. 20, 710–719. doi: 10.1080/13548506.2014.986142

PubMed Abstract | CrossRef Full Text | Google Scholar

Herschbach, P., Berg, P., Dankert, A., Duran, G., Engst-Hastreiter, U., Waadt, S., et al. (2005). Fear of progression in chronic diseases: psychometric properties of the Fear of Progression Questionnaire. J. Psychosom. Res. 58, 505–511.

Google Scholar

Herschbach, P., Berg, P., Waadt, S., Duran, G., Engst-Hastreiter, U., Henrich, G., et al. (2010). Group psychotherapy of dysfunctional fear of progression in patients with chronic arthritis or cancer. Psychother. Psychosom. 79, 31–38. doi: 10.1159/000254903

PubMed Abstract | CrossRef Full Text | Google Scholar

Holmes, T. H., and Rahe, R. H. (1967). The social readjustment rating scale. J. Psychosom. Res. 11, 213–218. doi: 10.1016/0022-3999(67)90010-4

CrossRef Full Text | Google Scholar

Hruschak, V., and Cochran, G. (2018). Psychosocial predictors in the transition from acute to chronic pain: a systematic review. Psychol. Health Med. 23, 1151–1167. doi: 10.1080/13548506.2018.1446097

PubMed Abstract | CrossRef Full Text | Google Scholar

Johannsen, M., Farver, I., Beck, N., and Zachariae, R. (2013). The efficacy of psychosocial intervention for pain in breast cancer patients and survivors: a systematic review and meta-analysis. Breast Cancer Res. Treat. 138, 675–690. doi: 10.1007/s10549-013-2503-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Koch, L., Jansen, L., Brenner, H., and Arndt, V. (2013). Fear of recurrence and disease progression in long-term (= 5 years) cancer survivors–a systematic review of quantitative studies. Psychooncology 22, 1–11. doi: 10.1002/pon.3022

PubMed Abstract | CrossRef Full Text | Google Scholar

Kroenke, K., Spitzer, R. L., Williams, J. B., and Lowe, B. (2010). The patient health questionnaire somatic, anxiety, and depressive symptom scales: a systematic review. Gen. Hosp. Psychiatry 32, 345–359. doi: 10.1016/j.genhosppsych.2010.03.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Krok, J. L., Baker, T. A., and McMillan, S. C. (2013). Age differences in the presence of pain and psychological distress in younger and older cancer patients. J. Hosp. Palliat. Nurs. 15, 107–113. doi: 10.1097/njh.0b013e31826bfb63

CrossRef Full Text | Google Scholar

Liang, Y. (2016). Study on the status and influencing factors of pain control in hospitalized cancer patients [in Chinese]. J. Med. Inf. 29, 108–109.

Google Scholar

Llewellyn, C. D., Weinman, J., McGurk, M., and Humphris, G. (2007). Can we predict which head and neck cancer survivors develop fears of recurrence? J. Psychosom. Res. 65, 525–532. doi: 10.1016/j.jpsychores.2008.03.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Mellon, S., Kershaw, T. S., Northouse, L. L., and Freeman-Gibb, L. (2007). A family-based model to predict fear of recurrence for cancer survivors and their caregivers. Psychooncology 16, 214–223. doi: 10.1002/pon.1074

PubMed Abstract | CrossRef Full Text | Google Scholar

Melzack, R. (1987). The short-form McGill pain questionnaire. Pain 30, 191–197. doi: 10.1016/0304-3959(87)91074-8

CrossRef Full Text | Google Scholar

Miller, K. R., Patel, J. N., Symanowski, J. T., Edelen, C. A., and Walsh, D. (2018). Acupuncture for cancer pain and symptom management in a palliative medicine clinic. Am. J. Hosp. Palliat. Care 36, 326–332. doi: 10.1177/1049909118804464

PubMed Abstract | CrossRef Full Text | Google Scholar

Novy, D. M., and Aigner, C. J. (2014). The biopsychosocial model in cancer pain. Curr. Opin. Support. Palliat. Care 8, 117–123.

Google Scholar

Pallant, J. F., and Bailey, C. M. (2005). Assessment of the structure of the hospital anxiety and depression scale in musculoskeletal patients. Health Qual. Life Outcomes 3:82.

Google Scholar

Peng, L., and Zhang, J. Y. (2013). Applicability of the Chinese version of short form-McGill pain questionaire among patients with sciatica disease caused by lumbar intervertebral disc protrusion [in Chinese]. Chin. J. Rehabil. Med. 28, 1035–1040.

Google Scholar

Potter, M. Q., Wylie, J. D., Greis, P. E., Burks, R. T., and Tashjian, R. Z. (2014). Psychological distress negatively affects self-assessment of shoulder function in patients with rotator cuff tears. Clin. Orthop. Relat. Res. 472, 3926–3932. doi: 10.1007/s11999-014-3833-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Puetzler, J., Feldmann, R. E. Jr., Brascher, A. K., Gerhardt, A., and Benrath, J. (2014). Improvements in health-related quality of life by comprehensive cancer pain therapy: a pilot study with breast cancer outpatients under palliative chemotherapy. Oncol. Res. Treat. 37, 456–462. doi: 10.1159/000365537

PubMed Abstract | CrossRef Full Text | Google Scholar

Sheinfeld Gorin, S., Krebs, P., Badr, H., Janke, E. A., Jim, H. S., Spring, B., et al. (2012). Meta-analysis of psychosocial interventions to reduce pain in patients with cancer. J. Clin. Oncol. 30, 539–547. doi: 10.1200/JCO.2011.37.0437

PubMed Abstract | CrossRef Full Text | Google Scholar

Soldatos, C. R., Dikeos, D. G., and Paparrigopoulos, T. J. (2000). Athens Insomnia Scale: validation of an instrument based on ICD-10 criteria. J. Psychosom. Res. 48, 555–560. doi: 10.1016/s0022-3999(00)00095-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Soldatos, C. R., Dikeos, D. G., and Paparrigopoulos, T. J. (2003). The diagnostic validity of the Athens Insomnia Scale. J. Psychosom. Res. 55, 263–267. doi: 10.1016/s0022-3999(02)00604-9

CrossRef Full Text | Google Scholar

Spiegel, D., and Bloom, J. R. (1983). Group therapy and hypnosis reduce metastatic breast carcinoma pain. Psychosom. Med. 45, 333–339. doi: 10.1097/00006842-198308000-00007

CrossRef Full Text | Google Scholar

Spitzer, R. L., Kroenke, K., Williams, J. B., and Lowe, B. (2006). A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch. Intern. Med. 166, 1092–1097.

PubMed Abstract | Google Scholar

Tang, D. (2017). Cancer pain status and cancer pain control satisfaction survey in Longquanyi district of Chengdu city [in Chinese]. Sichuan Med. J. 38, 144–147.

Google Scholar

van den Beuken-van Everdingen, M. (2012). Chronic pain in cancer survivors: a growing issue. J. Pain Palliat. Care Pharmacother. 26, 385–387. doi: 10.3109/15360288.2012.734908

PubMed Abstract | CrossRef Full Text | Google Scholar

van den Beuken-van Everdingen, M. H., Hochstenbach, L. M., Joosten, E. A., Tjan-Heijnen, V. C., and Janssen, D. J. (2016). Update on prevalence of pain in patients with cancer: systematic review and meta-analysis. J. Pain Symptom. Manage. 51, 1070–1090.e9. doi: 10.1016/j.jpainsymman.2015.12.340

PubMed Abstract | CrossRef Full Text | Google Scholar

Vatcheva, K. P., Lee, M., McCormick, J. B., and Rahbar, M. H. (2016). Multicollinearity in regression analyses conducted in epidemiologic studies. Epidemiology 6:227.

Google Scholar

Vranceanu, A. M., Barsky, A., and Ring, D. (2009). Psychosocial aspects of disabling musculoskeletal pain. J. Bone Joint Surg. Am. 91, 2014–2018. doi: 10.2106/JBJS.H.01512

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, Y. (2006). Assessment and intervention of pain in cancer patients [in Chinese]. J. Mod. Nurs. 25, 2383–2385.

Google Scholar

Wilson, K. G., Eriksson, M. Y., D’Eon, J. L., Mikail, S. F., and Emery, P. C. (2002). Major depression and insomnia in chronic pain. Clin. J. Pain 18, 77–83. doi: 10.1097/00002508-200203000-00002

CrossRef Full Text | Google Scholar

Wu, Q., Ye, Z., Li, L., and Liu, P. (2015). Reliability and validity of Chinese version of fear of progression questionnaire-short form for cancer patients (in Chinese). Chin. J. Nurs. 12, 1515–1519.

Google Scholar

Yan, S. (2013). The factorial structure study of the positive personality traits questionnaire (in Chinese). J. Tangshan Teach. Coll. 3, 140–143.

Google Scholar

Yang, D. S., and Zhang, Y. L. (1999). Stress life event scale (in Chinese). Chin. Ment. Health J. (Suppl.), 5, 101–108.

Google Scholar

Zheng, Q. (2013). Reliability and validity of Chinese version of Generalized Anxiety Disorder 7-item (GAD-7) scale in screening anxiety disorder in outpatients from traditional Chinese internal department (in Chinese). Chin. Ment. Health 27, 163–168.

Google Scholar

Keywords: cancer, Chinese, clinical, demographic, factor, pain, psychological

Citation: Zhang Y, Tan X, Li W, Wang H, Sun H, Liu T, Zhang J, Zhang B and Yang Y (2019) Self-Perceived Pain in Chinese Patients With Cancer. Front. Psychol. 10:1994. doi: 10.3389/fpsyg.2019.01994

Received: 23 April 2019; Accepted: 14 August 2019;
Published: 28 August 2019.

Edited by:

Gianluca Castelnuovo, Catholic University of the Sacred Heart, Italy

Reviewed by:

Carolina Baeza-Velasco, Université Paris Descartes, France
Michelle Dow Keawphalouk Narangajavana, Massachusetts Institute of Technology, United States

Copyright © 2019 Zhang, Tan, Li, Wang, Sun, Liu, Zhang, Zhang and Yang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Yuan Yang, yangyuan_yangyuan@163.com; 306850475@qq.com

These authors have contributed equally to this work