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Journal of caring sciences. 10(4):210-215. doi: 10.34172/jcs.2021.032

Original Article

Fatigue and Its Related Factors Among Iranian Cancer Survivors

Musab Ghaderi 1ORCID logo, Arman Azadi 2ORCID logo, Azad Rahmani 3, *ORCID logo, Zohreh Sanaat 4ORCID logo, Hosein Nazemiyeh 5ORCID logo, Afzal Shamsi 6ORCID logo, Leila Nabiolahi 7
1Department of Medical-Surgical Nursing, Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
2Department of Medical-Surgical Nursing, Faculty of Nursing and Midwifery, Ilam University of Medical Sciences, Ilam, Iran
3Department of Medical-Surgical Nursing, Hematology and Oncology Research Center, Faculty of nursing and midwifery, Tabriz University of Medical Sciences, Tabriz, Iran
4Department of Hematology and Oncology, Medical Oncologiest, Hematology and Oncology Research Center, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
5Department of Pharmacognosy, Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran
6Department of Anesthesiology, Nursing and Midwifery Care Research Center, Tehran University of Medical Sciences, Tehran, Iran
7Department of Medical-Surgical Nursing, Shohada Hospital, Tabriz University of Medical Sciences, Tabriz, Iran
*Corresponding Author: Azad Rahmani, Email: azad.rahmani@yahoo.com

Abstract

Introduction: Cancer-related fatigue (CRF) is one of the major problems experienced by cancer patients. Identifying the prevalence and factors associated with CRF may be effective in designing appropriate interventions to reduce this problem. This study aimed to examine the prevalence of CRF and its related factors among Iranian cancer survivors.

Methods: The samples of this descriptive cross-sectional study included 131 cancer survivors referred to outpatient clinic of Shahid Gazi Hospital affiliated to Tabriz University of Medical Sciences. Brief fatigue inventory (BFI) questionnaire was used for data collection. The data were analyzed using SPSS software version 13, descriptive statistics, and regression analysis.

Results: The mean (SD) fatigue score was 6.41 (1.68) and 89% of survivors reported that they had suffered from CRF. The factors affecting CRF included blood pressure, diabetes mellitus, anemia, serum levels of blood urea nitrogen (BUN), marital status, type of cancer, and physical activity.

Conclusion: High level of CRF in cancer survivors requires special attention and designing effective interventions through considering the identified factors associated with CRF.

Keywords: Cancer, Cancer survivors, Fatigue, Iran, Factor

Copyright

© 2021 The Author(s).
This work is published by Journal of Caring Sciences as an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/). Non-commercial uses of the work are permitted, provided the original work is properly cited.


Introduction

Cancer is one of the leading causes of death worldwide. 1 The number of cancer survivors has increased because of the advances in early detection and cancer treatments over the past three decades. 2 It is estimated that the number of cancer survivors in the United States will increase from 14 million in 2014 to 19 million in 2024. 2 It is expected that most cancer survivors can return to their normal life after completion of the treatments. 3 However, symptoms caused by cancer or its treatment are the most important reasons that prevent cancer survivors from returning to a normal life. 4

Cancer-related fatigue (CRF) is one of the most common and distressing symptoms experienced by cancer patients, with a prevalence of 59%-96%. 5-7 In a study by Sharifi Rizi et al., 59% of cancer patients under treatment reported significant levels of fatigue. 8 Another study by Zeighami Mohammadi et al., reported that 95% of Iranian cancer patients suffer from fatigue. 9 CRF is a distressing, persistent, and subjective sense of physical, emotional, and/or cognitive tiredness related to cancer or cancer treatment, that is not proportional to recent physical activity and interferes with the patient’s functioning. 10 CRF is a multifactorial phenomenon in cancer patients and may be influenced by numerous factors including demographics, medical, psychosocial, behavioral, and biological factors. 11

The experiences of cancer survivors have shown that CRF is more severe, longer, and more debilitating than normal fatigue caused by insomnia or excessive rest. In addition, it cannot be relieved by sleep or sufficient rest, and no effective and definitive therapies have been identified for it so far. 12 CRF may lead to the creation or exacerbation of numerous complications, such as insomnia, stress, depression, and mental impairment due to changes in organ function and duration of the disease. 13,14 Hence, CRF is considered as an important factor as mortality caused by cancer from the perspective of public health. 15

Despite the importance of treating CRF, the results of several studies have showed that CRF is less diagnosed or not treated properly. 16,17 One of the main barriers to proper management of CRF is the lack of accurate identification of CRF-related factors. 18 Thus, the existing literature have suggested that further studies are needed to better identify these factors. 19,20 Although the prevalence of CRF has been studied in Iranian cancer patients under treatment, it has not been studied in Iranian cancer survivors. Therefore, the current study aimed to examine the prevalence of CRF and its related factors among Iranian cancer survivors.


Materials and Methods

This descriptive cross-sectional study was conducted on 131 cancer patients referred to Shahid Ghazi hospital in Tabriz, Iran. Data were collected from January 21 to July 23, 2018. The inclusion criteria were: age over 18 years, final diagnosis of cancer by a clinical oncologist, not receiving blood or blood components in the last 60 days, and without suffering from fatigue one year before the diagnosis of cancer according to the patients’ medical records. Based on the previous study, 20 the sample size was calculated as 131 participants for the study. Finally, by considering 10% of attrition and using the convenience sampling method, 145 survivors were invited to participate in the study. In the initial review, 15 patients were not willing to participate in the study, and finally, 131 patients’ data were gathered (response rate = %90). The sampling method was such that the researcher was present daily in the research environment and selected the patients who met the inclusion criteria and were willing to participate in the study. After explaining the objectives of the research to the patients and obtaining their consent to participate in the study, the questionnaires were completed by them.

The instrument used in this study consisted of two parts. The first part was a checklist that collected the demographic characteristics and specifications related to the disease. Some information was obtained from patients, and others were extracted from patients’ records by obtaining the necessary permissions. Anemia in patients was determined based on hemoglobin (Hb) level and physician’s confirmation (Hb < 13 in males vs. Hb < 12 in females). 21 The patient’s physical activity was recorded based on the amount of exercise per day in minutes. The second part of the questionnaire used the 10-item brief fatigue inventory (BFI). The first item assessed the existence of fatigue in the past week. If the response was yes, the other 9 items (the amount of current fatigue, usual fatigue in past 24 hours, the highest amount of fatigue and severity in the past day, the fatigue impact in past 24 hours on the general activity, mood, walking ability, relations with other people, and enjoyment of life) were responded by the participants. The answer to the items was scored on a 10-point Likert scale, in which the zero scores represented the absence of fatigue and the score of 10 represented the highest score that indicated severe fatigue. In this questionnaire, the total score of fatigue was obtained from total scores of 9 items of the second part divided by 9. The score of 0 represented no fatigue, a score between 0.1-3.9 mild fatigue, a score between 4-6.9 moderate fatigue, a score between 7-9.9 severe fatigue, and score of 10 represented very severe fatigue. 22 This questionnaire has been used in studies in Iran 22 and other countries. 23

In current study, face validity and content validity were assessed and verified by an expert panel including 10 faculty members of Tabriz University of Medical Sciences, Iran. The final version of the questionnaire was tested for reliability in a pilot study involving 30 cancer patients. The Cronbach’s alpha value for 9 items of BFI questionnaire was 87%.

To perform data collection, first, this research project was approved by the Regional Ethics Committee at the Tabriz University of Medical Sciences (Ethics code: IR.TBZMED.REC.1396.345). Then, the necessary permissions were obtained from the research environment (oncology clinic of Shahid Ghazi hospital in Tabriz). The first author attended the hospital clinic during the sampling period and identified eligible patients who were referred to the clinic for the follow-up visit. After providing the necessary information to the patients regarding the aims of the study, the patients were invited to participate in the study. Moreover, after providing verbal consent, a written informed consent was obtained from all participants. Since most of the participants were illiterate (55.4%), their data were collected through an interview in a private room in the hospital’s clinic.

Data were analyzed using SPSS software version 13. The normality of data was examined using the Kolmogorov-Smirnov normality test. Mean, standard deviation, frequency, and percent were used for describing the variables. Furthermore, inferential statistics, including independent-sample t-test, chi-squared test, and ANOVA were used to identify the factors to be included in regression model. Linear regression was used to examine factors associated with fatigue. Finally, P = 0.05 was considered as statistically significant.


Results

The mean (SD) age of the patients was 53.76 (12.72) years. Other demographic characteristics of participants are presented in Table 1. The mean (SD) of blood urea nitrogen (BUN) and creatinine was 24.18 (1.32) and 1.11 (0.44).

Table 1. The demographic characteristics of participants (N = 131)
Variable N (%)
Gender
Male72(55)
Female59(45)
Marital status
Single17 (13)
Married114(87)
Employment status
Housewife37(28.2)
Self-employed33(25.2)
Retired25(19.1)
Unemployed25(19.1)
Employee11(8.4)
Level of education
Under the diploma66 (50.4)
Diploma44 (33.6)
College degree21 (16)
Type of disease
Colorectal cancer64 (48.9)
Gastric cancer26 (19.8)
CMLa 19 (14.5)
MMb 6 (4.6)
ALLc 4 (3.1)
Breast cancer7 (5.3)
Bladder cancer5 (3.8)
Age
≤3920 (15.3)
40-5962 (47.3)
≥6049 (37.4)
Anemia
Yes 93 (71)
No38 (29)
Diabetes
Yes 16 (12.2)
No115 (87.8)
Hypertension
Yes 48 (36.6)
No83 (63.4)
Smoking d
Yes 3(25.1)
No98 (74.9)
Physical activity (minutes per day)
No activity90 (68.7)
Less than 6017 (13)
60-12018 (13.7)
More than 1206 (6.4)

aChronic myeloid leukemia; bMultiple myeloma; cAcute lymphoblastic leukemia. dSome participants did not respond.

According to the analysis of the first question of the BFI questionnaire, 89.23% of survivors reported that they had suffered from fatigue. The mean (SD) score of fatigue in patients was 6.41 (1.68). Moreover, 14 (10.77%) were without fatigue, 10 (7.70%) had mild fatigue, 58 (44.61%) had moderate fatigue, and 48 (36.92%) had severe fatigue.

Based on the results of primary statistical tests, including independent-sample t test, chi-square test, and ANOVA, being single, presence of anemia, diabetes mellitus, hypertension, increased level of BUN, and the level of physical activity (less than 30 minutes per day or more than 2 hours per day) were significant factors for the presence of CRF. Then, the linear regression model was used to determine the factors affecting fatigue and the effect of each factor. All variables were significant with regards to the Pearson test, independent-sample t test, and ANOVA or they were significant based on the review of previous studies. Variables including marital status, anemia, blood pressure, diabetes, smoking, physical activity, BUN, and type of disease were included in the regression model. The results showed that factors of hypertension, marital status, anemia, urea-creatinine ratio, and activity levels, respectively, were the factors affecting fatigue in cancer patient. (Table 2)

Table 2. Factors affecting fatigue in cancer patients
Variable B SE β
Constant8.640.46-
Marital status (single = 0) -1.640.18 -0.43a
Anemia (anemia = 0)-1.810.19 -0.47a
Hypertension (yes = 0)-1.610.20 -0.39a
Diabetes (yes = 0)-0.130.29 -0.01b
Smoking (yes = 0) 0.040.16 0.01c
Activity-0.090.09 -0.04a
BUN/Cr0.010.005 0.20a

Adjusted R2 = 0.93; f = 120.94; aP < 0.001; b P = 0.65; cP = 0.80.


Discussion

In current study, the prevalence of fatigue in patients with cancer was 89%. In a study by Berger et al., the overall prevalence of fatigue was 48%, though it was higher during treatment and reduced following treatment. 24 In another study, the prevalence of fatigue exceeded 70% but decreased significantly following completion of cancer treatment. 25 The significant decrease in the prevalence of fatigue following treatment (to 50%) has also been confirmed in another study. 26 In the current study, both the prevalence and severity of fatigue were higher compared to other studies, such that 82% of participants had moderate and severe fatigue. Zeighami Mohammadi et al., reported that the prevalence of fatigue in patients with cancer undergoing chemotherapy was 95%, 9 which was higher than our study. In some other studies, the prevalence of fatigue in patients undergoing treatment was equivalent to our study. 8,9 The differences between the results of fatigue rate in these studies and the current study may be due to cultural differences. While our study was conducted in Tabriz with a Turkish culture, the studies by Sharifi Rizi et al., 8 and Zeighami Mohammadi et al., 9 had been conducted in Isfahan and Tehran, respectively, with a Persian culture. A difference in the endorsement of positive effect appears to be consistent across cultures, languages, and types of mood assessments. 27

The results also showed that factors associated with fatigue were related to anemia disorders, blood pressure, diabetes, and low physical activity. In current study, anemia was the only factor associated with fatigue. As previous studies have shown, the presence of anemia is an important factor associated with fatigue in cancer patients. 28,29 Moreover, some studies have shown that the presence of anemia is an important factor in cancer patients’ survival.Studies have reported that mild anemia treatment contributes to improving quality of life in cancer patients. 30 In the current study and a previous study, 31 the high level of fatigue in patients with colorectal cancer and leukemia cancer is justifiable concerning the presence of anemia.

Our results showed that some chronic disorders, such as blood pressure and diabetes, lead to increased fatigue in patients, which is consistent with the results of some other studies. In addition, some studies confirmed such an association between blood pressure and fatigue. 32,33 It seems that high blood pressure, directly and indirectly through the effects of antihypertensive drugs, is an important factor in the incidence and severity of fatigue in patients. 34 Furthermore, many studies have confirmed the relationship between BUN and fatigue, which regarding the relationship between BUN and protein metabolism and body muscle mass can be investigated. 31,35 Urea plays an important role in the metabolism of nitrogen-containing compounds. As a result, increased BUN levels indicate protein breakdown, which strongly affects muscle contraction and leads to fatigue. When the body lacks energy, protein is consumed and BUN levels increase in response to fatigue. Hence, this issue has given rise to BUN, which is an important factor in fatigue assessment. 36

The analysis in current study showed that fatigue level in single patients was higher compared to married ones. This can be attributed to the lower social support in single patients than married ones, because married people receive support from their spouse, children, and relatives, as well as their parents. 37,38 Since fatigue is a multidimensional phenomenon and psychological factors can exacerbate it in patients, the findings of current research corroborate this case.

Moreover, fatigue level was higher in patients with physical activity for less than 30 minutes a day or more than 2 hours a day. Previous studies have shown the significant role of physical activity in the management of fatigue-related cancer. 39 The results showed that moderate physical activity can reduce fatigue, and higher and lower levels of activity can have reverse effects on fatigue. The results of a systematic review by Cramp & Byron-Daniel are compatible with the results of current study; they showed that physical activity is an important factor in decreasing fatigue in patients with cancer. However, more studies are needed regarding the intensity and the amount of physical activity. 40 Therefore, the findings of current research showed that 1-2 hours of daily activity a day could decrease fatigue in patients with cancer.

In addition, the results showed that a high percentage of cancer survivors had moderate and severe fatigue. Given the findings from previous studies, the fatigue rate in cancer patients whose active treatment has been completed should be significantly reduced. However, the findings of the current study showed that many cancer survivors experience a moderate to high level of fatigue. Although much evidence and findings have been provided about CRF in recent decades, it has not been reported, diagnosed, or understood precisely yet. 16 One of the barriers to the evaluation and management of fatigue may be the lack of knowledge of the mechanisms underlying these symptoms, risk factors, and effective treatments. 18 Thus, adopting supportive care programs is necessary to reduce this annoying problem in cancer survivors. Furthermore, current study showed that physical factors such as anemia, blood pressure, BUN level, and physical activity level, along with psycho-social factors like marital status have a substantial effect on patients’ fatigue level. Accordingly, supportive care programs to control the fatigue of cancer survivors should focus on the mentioned factors.

The main limitation of this study was that it was conducted in a governmental center located in East Azerbaijan province, which is a referral center for two neighboring provinces with a similar culture. However, we should be careful when generalizing the results to other cities of the country with different cultures. Finally, it is suggested that similar studies be conducted on patients from both governmental and private centers.


Conclusion

The prevalence of fatigue in cancer survivors is high. The CRF is related to such factors as blood pressure, diabetes mellitus, anemia, serum levels of the BUN, marital status, and levels of physical activity. Accordingly, there is an urgent need to develop supporting programs for CRF management and related factors in cancer survivors. Management of any medical conditions including anemia, diabetes, and hypertension and some lifestyle modifications such as quitting smoking and diet adjustments should be included in such supportive programs.


Acknowledgments

This study has been extracted from a master’s thesis in nursing at Tabriz University of Medical Sciences, Iran. The authors wish to thank all the patients who participated in this study.


Ethical Issues

This study was approved by the Regional Research Ethic Committee at the Tabriz University of Medical Sciences (IR.TBZMED.REC.1396.345).


Conflict of Interest

The authors declare that there is no conflict of interest.


Authors’ Contributions

MGH, AR, ZS, HN, ASH: Conceptualization; MGH, AR, ZS, ASH: Methodology; MGH, AR, ASH: Formal analysis; AR, ASH: Investigation; MGH, LN: Data curation; MGH, AR, AA: Writing-original draft preparation; MGH, ASH: Writing-review and editing; AR, ZS, HN, ASH: Supervision; AR: Project administration. All authors have read and agreed to the published version of the manuscript.


Research Highlights

What is the current knowledge?

Cancer-related fatigue (CRF) is one of the major problems experienced by cancer patients. Identifying the prevalence and factors associated with CRF may be effective in designing appropriate interventions to reduce this problem.

What is new here?

The CRF is related to such factors as blood pressure, diabetes mellitus, anemia, serum levels of the BUN, marital status, and levels of physical activity.


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Submitted: 15 Jan 2021
Accepted: 08 Jun 2021
First published online: 25 Oct 2021
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