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Predictors of Quality of Life Among Colorectal Cancer Survivors in Malaysia: A 6-Month Follow-Up Study

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01 September 2025

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02 September 2025

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Abstract
Background: Quality of life (QoL) is a crucial outcome measure in cancer care. This study aimed to identify predictors of health-related quality of life (HRQoL) among colorectal cancer (CRC) patients in Malaysia. Methods: The study was conducted from January 2021 to July 2022, recruiting CRC patients from two teaching hospitals in Malaysia. The validated Malay versions of EORTC QLQ-C30 and QLQ-CR29 questionnaires assessed physical, psychological, and social functioning. Patients were evaluated at 6 months post-treatment to determine QoL predictors. Results: Among 87 CRC patients (55.2% male, mean age 59.8±11.8 years), 37.9% had stage III disease and 13.8% had stage IV. Most patients (93%) underwent surgery and 78% received chemotherapy. The mean Global Health Status score was 66.57±20.75. Multivariate analysis revealed that older age (p = 0.03), advanced cancer stage (p = 0.017), lower body weight (p = 0.017), and reduced hip circumference (p = 0.040) significantly predicted poorer QoL. Nutritional parameters specifically predicted functional domains: lower body weight and BMI predicted role and cognitive function, while lower hip circumference predicted emotional function. Conclusions: Advanced age, disease stage, and nutritional status are significant predictors of QoL in Malaysian CRC patients. These findings highlight the importance of nutritional assessment and intervention in CRC survivorship care to optimize patient outcomes.
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1. Introduction

According to the International Agency for Research on Cancer (IARC), which is the cancer agency of the World Health Organization, the most frequently diagnosed cancers worldwide include lung cancer, female breast cancer, and colorectal cancer (CRC) [1]. The most cancer deaths are due to lung cancer and CRC [1]. CRC is a growing burden, especially in developing countries [1].
Quality of life (QoL) has become an important outcome criterion in patients with cancer. Long-term survivors of CRC may experience persistent issues affecting their QoL [2]. Even though treatments are not curative for most patients, QoL is often considered the predictor of treatment success. As a result, the goals of treatment are oriented towards improving survival, slowing tumor progression, effectively managing symptoms, and enhancing overall QoL [3,4].
Survival rate of CRC patients is greatly dependent on the cancer stage; for example, the 5-year relative survival rate exceeds 90% for the localized stage while less than 10% for the advanced and metastatic stage of the cancer [5]. A significant number of individuals who have survived CRC often endure a substantial load of symptoms, including fatigue, bowel dysfunction, depression, and insomnia [6]. This burden of symptoms has a considerable impact on their QoL following the completion of treatment. It also has a profound influence on the overall CRC survivorship.
Despite growing recognition of QoL as a critical outcome in CRC care, limited research has examined predictors of QoL among Asian populations, particularly in Malaysia where cultural, dietary, and healthcare factors may influence outcomes differently than in Western populations. Most existing studies focus on Western cohorts, and the specific factors predicting QoL in Malaysian CRC patients remain poorly understood. Furthermore, the relationship between nutritional status and QoL in this population has not been adequately explored.
Therefore, this study aimed to identify sociodemographic, clinicopathologic, and nutritional predictors of QoL among CRC survivors in a 6-months post-treatment in Malaysia. Understanding these predictors could inform targeted interventions to improve QoL and optimize survivorship care in this population.

2. Materials and Methods

2.1. Study Design, Setting Study Participants

This study was conducted from January 2021 to July 2022 by patient selection using a convenience sampling technique, as first-come, first-serve basis. Patients were recruited from all eligible CRC patients at two tertiary teaching hospitals in Malaysia namely, Hospital Universiti Sains Malaysia (HUSM) and Hospital Canselor Tuanku Muhriz, Universiti Kebangsaan Malaysia (HCTM UKM).
The units for cancer patients at HUSM included oncology clinic, surgery clinic, and radiology unit. The units for patient recruitments at HCTM UKM included obesity clinic, outpatient clinic and private clinics.
HUSM is located in suburban city of Kota Bharu, a north-eastern region of Peninsular Malaysia, having a population density of 122 people per km2. HCTM UKM is located in the metropolitan city of Kuala Lumpur at Klang Valley of Peninsular Malaysia, having a population density of 8,045 per km2. These two hospitals, HUSM and HCTM UKM, represented the suburban and urban areas, respectively in Malaysia.
The study adheres to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guidelines. Inclusion criteria included 1) patients between the ages from 18 to 80 years; 2) histopathologically confirmed CRC; 3) diagnosed no more than two years before study enrolment; and 4) had no previous cancer diagnosis at other anatomic sites. Exclusion criteria included 1) mental disorders, such as major depression, schizophrenia, and anxiety; 2) physical disability affecting independent self-care; and 3) females being pregnant or breastfeeding.
Ethical approval was obtained from the Human Research Ethics Committee of USM [USMKK/JEPeM/19060354] (Appendix A) and the Universiti Kebangsaan Malaysia Medical and Research Ethics Committee (UKMREC; FF-2020-005). The study objectives and research procedures were explained to the potential patients, and a written informed consent was obtained from each patient before enrolment.
The patients were followed up for 6 months to assess their QoL in terms of daily activities, physical strength, pain, sleep, and mental health.

2.2. Study Instruments and Administration

QoL was assessed by household interviews using the Malay version of two sets of established questionnaires obtained from European Organisation for Research and Treatment of Cancer (EORTC). The core questionnaire, QLQ-C30 was used to evaluate the overall health, functions, symptoms, and financial implications of the disease. This questionnaire was composed of both multi-item scales and single-item measures, ranging from ‘not at all’ to ‘very much’. The questionnaire was comprised of one QOL scale, five functional scales, three symptom scales, and six single items.
The supplementary questionnaire module, QLQ-CR29, specifically assessed the health-related QOL (HRQOL) among CRC patients. It included four multi-item scales and 19 single-items. These questions comprised of information about body image, sexual function, and patients’ future perspective. In functioning scales, a high score indicated a higher level of functioning and better overall functioning. Conversely, in symptom scales, a high score indicated more severe symptoms or worse symptomatology.
The Malay version of QLQ-C30 had 30 questions and the Malay version of QLQ-CR29 included 29 questions with answers using a Likert scale, ranging from “not at all” to “very much.” Each response scale was recorded and transformed into a score between 0 and 100 using a description.

2.3. Statistical Analysis

Data analyses were conducted using IBM SPSS statistic version 22.0 (Chicago, IL, USA). The data were tested, cleaned and explored to investigate the graphical distribution of the data by using histogram, box whisker plot and Shapiro-wilk to understand the data distribution. For descriptive results, numerical and continuous data with normal distribution were presented as mean and standard deviation (SD) while skewed distributed data were presented as median and interquartile range (IQR). In addition, categorical data were presented as frequency and percentage.
Linear regression analyses were used to determine factors that predicted HRQOL, functional scales, and symptom scales for the QLQC30 and CR29 questionnaires. Both numerical (age and anthropometry) and categorical (sex and CRC stages) independent variables were used in the model. A p-value of ≤0.05 indicated statistical significance.

3. Results

3.1. Patient Characteristics and Treatments

The mean (SD) patient age was 59.83 (11.79) with majority being male (55.2%). Most of CRC patients had stage III (37.9%) cancer, followed by stage II (29.9%), stage I (14.9%), stage IV (13.8%) and unknown (3.4%). The majority of the patients underwent surgical treatment (93.1%); among the surgery types, about 45% were performed laparoscopic anterior resection. Chemotherapy was given in 78.2% patients, and radiotherapy in 37.9% patients. In the chemotherapy/radiotherapy group, most of them had adjuvant chemotherapy (44.8%), meaning the chemotherapy was implemented after surgery. A combination of folinic acid, fluorouracil and oxaliplatin (FOLFOX) was the most frequent chemotherapy regime provided to the CRC patients (Table 1).

3.2. Assessment of Global Health Status, Functioning and Symptoms

In general, mean (SD) score for global health status (GHS/QoL) was 66.57 (20.75). Scores above 60 in functioning scores represented high or better functioning status. GHL/QoL score for cognitive function had the highest scores (86.76 ± 19.56), whereas physical functioning had the lowest scores (65.13 ± 22.61). Of the symptom scales, fatigue was the worst common symptom having a QoL score of 47.06 ± 23.96, followed by pain (43.68 ± 24.54), loss of appetite (39.08 ± 27.00), and nausea and vomiting (36.59 ± 25.52) (Table 2).
Most CRC patients expressed that they were satisfied with their body image as it scored the highest (85.95 ± 17.73) among the functioning scale in QLQ-C29. However, mean score for anxiety was low (57.47 ± 22.56), indicating the presence of significant anxiety among CRC patients. The other common symptoms and their corresponding QoL scores were as follows: urinary frequency (43.29 ± 19.93), abdominal pain (22.60 ± 24.11) and stool frequency (21.26 ± 21.37) (Table 3).

3.3. Multivariate Analysis Predictors of QoL

Results of multivariate regression analysis in predicting QoL in CRC patients are presented in Table 4, Table 5, Table 6 and Table 7. Independent variables included in the model were sociodemographic variables (age and sex), clinicopathologic feature (stage of cancer), and changes in anthropometry such as body weight, BMI, waist circumference (WC), and hip circumference (HC). More than half of the CRC patients presented with malnutrition in terms of lower body weight, BMI and HC.

3.4. Predictors of QoL for Functioning Scales

Table 4 shows that older age (p = 0.030), advanced stage of cancer (p = 0.017), lower body weight (p = 0.017) and lower HC (p = 0.040) were significant predictors of a lower global health status / QoL (GHS/QoL) among the patients. Older age was found a significant predictor for worsening of physical function (p = 0.001), role function (p = 0.012), and cognitive function (p = 0.002). The advanced stage of CRC was another independent and significant predictor of role function (p = 0.002) and emotional function (p = 0.032). Among the anthropometry parameters, lower body weight significantly predicted role functioning (p = 0.001) and cognitive functioning (p = 0.001), while lower HC predicted emotional function (p = 0.043).

3.5. Predictors of QoL for Physical Symptoms

Among the physical symptoms presented in Table 5, more body pain was predicted by older age (p = 0.006), symptoms of fatigue was predicted by lower body weight (p <0.001) and low BMI (p = 0.003), and insomnia was significantly predicted by an advanced stage of the cancer (p = 0.048), lower body weight (p = 0.041), and low BMI (p = 0.047). As expected, body image was predicted by nutritional parameters such as body weight (p = 0.048) and BMI (p = 0.041), and an advanced stage of the cancer (Table 6).
Among other symptoms (Table 7), older age predicted urinary incontinence (p = 0.004), and frequent stool motions (p = 0.034). An advanced disease stage significantly predicted stools having blood and mucus (p = 0.013), buttock pain (p = 0.029), frequent stool motions (p = 0.007), fecal incontinence (p = 0.001). and bloating (p = 0.013).

4. Discussion

This study identified several significant predictors of HRQoL among Malaysian CRC patients at 6 months post-treatment. Advanced age, chronic disease stage, and poor nutritional status (lower body weight and hip circumference) emerged as primary determinants of reduced QoL. Notably, nutritional parameters showed domain-specific associations, with anthropometric measures differentially predicting physical, cognitive, and emotional functioning.
In the present study, although the overall GHS/QoL was somewhat high, it was poorer among patients of older age and those with an advanced stage of CRC. These findings are consistent with another study from Malaysia which reported a poorer score of GHS/QOL among patients aged more than 60 years, and those with TNM (tumor, node and metastases) staging of IV compared with stage I to III of CRC [7]. Another study in Greece in patients with CRC, QoL was shown to significantly deteriorate from stage 1 to stage II and from stage II to stage III of cancer [8]. Based on these data, one may deduce a reasonable conclusion that patients with early CRC stage when the disease has not yet impaired their fundamental biological, physical and health function and activities should be expected to have a better QoL. The age-related decline in QoL likely reflects the cumulative impact of treatment toxicity, reduced physiological reserve, and increased comorbidity burden in older patients. This finding underscores the need for age-adapted survivorship care plans.
Body image is generally a critical psychosocial trauma for most cancer patients as they often undergo significant loss to body weight, in addition to deterioration of appearance and functioning. Interestingly, our study subjects had a high overall QoL scores and remained satisfied with their body image. This could be attributable to a stronger social support of the cancer patients (or any sick patients) which is more of a cultural norm in many developing countries. However, these patients must have gone through much pain, agony, and anxiety as demonstrated by deterioration of their physical function, role function, and cognitive functions in this study.
The prominent role of nutritional status in predicting QoL represents a key finding of our study. Over half of our patients presented with malnutrition, which significantly impacted multiple functional domains. This contrasts with Western studies where overweight/obesity is more common [14]. The association between hip circumference and emotional function may reflect body image concerns or indicate muscle wasting affecting psychological well-being. These findings suggest that comprehensive nutritional assessment and intervention should be integral components of CRC survivorship care in Malaysia.
Similar to patients with other types of cancer [9], physical and role functioning were better preserved among younger group CRC compared to older CRC patients. The present study exhibited significant association between CRC stage with emotional functions, role function and insomnia. This study results align with previous studies which reported emotional functions deteriorating with advanced stage of the disease [10], role functions significantly declining with increased stage of the disease [11] and insomnia being a disturbing side effect of treatment of cancer [12].
Patients’ poor nutritional status adversely affected their QoL, as shown consistently in our study data and in another cross-sectional Mexican study with 65 men and 48 women with CRC [13]. In both the studies, malnutrition was shown to have a profound effect on the patients’ functionality and QoL indices. However, these studies being cross-sectional in nature, could not show any changes in the functioning and QoL of the patients over time.
In a prospective cohort study, 459 CRC survivors (stage I to II) were followed from diagnosis up to 24 months post-treatment in The Netherlands [14]. The patients’ nutritional status of this cohort was not comparable to our study patients, as 44% of the patients in The Netherland study were overweight and 31% were obese at diagnosis, where more than half of our patients were malnourished. Still the findings of the Netherlands study are worth mentioning because of an increase in adipose tissue and muscle function of the patients were longitudinally associated with better QoL and less fatigue, regardless of pre-treatment body composition. These findings are consistent with our present study, which also observed better QoL among individuals with higher body weight and HC within a similar time frame from the diagnosis to the first two years post-treatment. Moreover, a normal BMI level was associated with better physical, role function, and social functions from 6 weeks to 24 months after CRC treatment [15], which are consistent with the present study findings of a positive association between BMI, fat mass and role function.
Regarding specific symptom scale items, significant associations were documented in our study between CRC stage and buttock pain, increased stool frequency, blood and mucus in stool, bloating, and fecal incontinence. These symptoms more frequently reported by patients with advanced TNM stages [16]. Most of our CRC patients had stage III cancer, and tumours were located in the rectosigmoid region of the colon.

4.1. Clinical Implications

Our findings have important clinical implications. First, routine screening for malnutrition using anthropometric measures could identify patients at risk for poor QoL outcomes. Second, targeted nutritional interventions may improve not only physical outcomes but also cognitive and emotional functioning. Third, age-stratified survivorship care programs may better address the diverse needs of CRC survivors.

4.2. Limitations

Several limitations warrant consideration. The study design precludes causal inferences and temporal assessment of QoL changes. The convenience sampling method may limit generalizability, and the relatively small sample size may have reduced statistical power for subgroup analyses. Additionally, we lacked baseline QoL data from diagnosis, preventing assessment of QoL trajectories. Future longitudinal studies with larger, more diverse samples and baseline assessments would strengthen evidence in this area.
Another limitation was the lengthy list of EORTC QLQ C30 and QLQ-CR29, which could potentially limit the accurate responses of the study patients. Furthermore, QLQ C30 and QLQ-CR29 assessments were not conducted at diagnosis, preventing evaluation of QoL trends from diagnosis to survivorship. Thus, repeated assessments of QoL are suggested to follow patient courses of QoL [17]. Incorporating qualitative data into quantitative research could provide deeper insights into the barriers and challenges faced by patients. Collaboration with psychologists or psychiatrists may also assist in providing emotional support and motivation the patients during data collection.
Despite limitations, one of the major strengths of the study was the use of local (Malay) versions of EORTC questionnaires which were validated in earlier studies.

5. Conclusions

This study demonstrates that age, disease stage, and nutritional status are significant predictors of HRQoL in Malaysian CRC survivors. The prominent impact of malnutrition on multiple functional domains highlights the critical importance of nutritional assessment and intervention in survivorship care. Healthcare providers should implement routine nutritional screening and develop targeted interventions to optimize QoL outcomes. Future longitudinal research with larger samples and baseline assessments is needed to better understand QoL trajectories and inform evidence-based survivorship care programs for CRC patients in Malaysia and similar populations.

Author Contributions

Conceptualization: L.Y.Y., M.R.S., H.J.J.M., and R.A.R.A.; Methodology: A.A.A.R., and L.S.A.; Data analysis: A.A.A.R., L.S.A., A.K.M.; Writing–original draft preparation: A.A.A.R.; Writing – review and editing: A.K.M, A.A.A.R., L.S.A., L.Y.Y., M.R.S., H.J.J.M., and R.A.R.A.; Supervision: L.Y.Y., M.R.S., H.J.J.M., and R.A.R.A.

Funding

The study is funded by the Long-Term Research Grant Scheme (LRGS)-Malaysia Research University Network (MRUN) (203/PPSK/6720021, LRGS/MRUN/FI/02/2018/01, and LR001-2019).

Institutional Review Board Statement

Ethics approval was granted by the Human Research Ethics Committee of Universiti Sains Malaysia (USM/JEPeM/19060354) and the Universiti Kebangsaan Malaysia Medical and Research Ethics Committee (UKMREC; FF-2020-005).

Informed Consent Statement

All patients gave written informed consent to be included in the study. The study was conducted in compliance with the Declaration of Helsinki. Written informed consent has been obtained from the patient(s) to publish this paper.

Data Availability Statement

The datasets generated and/or analyzed during the current study are not publicly available but are available from the corresponding author on reasonable request.

Acknowledgments

The authors would like to thank all participants, nurses and physicians for their valuable assistance in the study.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Bray, F.; Laversanne, M.; Sung, H.; Ferlay, J.; Siegel, R.L.; Soerjomataram, I.; Jemal, A. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2024, 74, 229–263. [Google Scholar] [CrossRef] [PubMed]
  2. Haraldstad, K.; Wahl, A.; Andenæs, R.; Andersen, J.R.; Andersen, M.H.; Beisland, E.; et al. A systematic review of quality of life research in medicine and health sciences. Qual Life Res 2019, 28, 2641–2650. [Google Scholar] [CrossRef] [PubMed]
  3. Flyum, I.R.; Mahic, S.; Grov, E.K.; Joranger, P. Health-related quality of life in patients with colorectal cancer in the palliative phase: a systematic review and meta-analysis. BMC Palliat Care 2021, 20, 144. [Google Scholar] [CrossRef] [PubMed]
  4. Andre, T.; Amonkar, M.; Norquist, J.M.; Shiu, K.K.; Kim, T.W.; Jensen, B.V.; et al. Health-related quality of life in patients with microsatellite instability-high or mismatch repair deficient metastatic colorectal cancer treated with first-line pembrolizumab versus chemotherapy (KEYNOTE-177): an open-label, randomised, phase 3 trial. Lancet Oncol 2021, 22, 665–677. [Google Scholar] [CrossRef] [PubMed]
  5. Siegel, R.L.; Miller, K.D.; Goding, Sauer, A. ; Fedewa, S,A,; Butterly, L.F.; Anderson, J.C.; et al. Colorectal cancer statistics, 2020. CA Cancer J Clin 2020, 70, 145–164. [Google Scholar] [CrossRef] [PubMed]
  6. Tantoy, IY.; Cataldo, J.K.; Aouizerat, B.E.; Dhruva, A.; Miaskowski, C. A review of the literature on multiple co-occurring symptoms in patients with colorectal cancer who received chemotherapy alone or chemotherapy with targeted therapies. Cancer Nurs 2016, 39, 437–445. [Google Scholar] [CrossRef] [PubMed]
  7. Magaji, B.A.; Moy, F.M.; Law, C.W.; Sii, H.L.; Roslani, A.C. Pattern of health-related quality of life and its association among patients with colorectal cancer. Asian Pacific J Cancer 2019, 4, 45–52. [Google Scholar] [CrossRef]
  8. Diamantis, A.; Tzovaras, G.; Samara, A.; Magouliotis, D.; Baloyiannis, I,; Symeonidis, D. ; et al. Quality of life deterioration and colorectal cancer staging in elderly patients. Which comes first? J BUON 2021, 26, 1266–1270. [Google Scholar] [PubMed]
  9. Schmidt, C.E.; Bestmann, B.; Kuchler, T.; Longo, W.E.; Kr19emer, B. Impact of age on quality of life in patients with rectal cancer. World J Surg 2005, 29, 190–7. [Google Scholar] [CrossRef] [PubMed]
  10. Wan Puteh, S.E.; Saad, N.M.; Aljunid, S, M; Abdul Manaf, M, R; Sulong, S.; Sagap, I.; et al. Quality of life in Malaysian colorectal cancer patients. Asia Pac Psychiatry 2013, 5 (Suppl) 1, 110–117. [CrossRef]
  11. Natrah, M.S.; Ezat, S.; Syed, M.A.; Rizal, A.M.; Saperi, S. Quality of life in Malaysian colorectal cancer patients: a preliminary result. Asian Pac J Cancer Prev. 2012, 13, 957–962. [Google Scholar] [CrossRef] [PubMed]
  12. Brunet, J.; Burke, S.; Grocott, M.P.; West, M.A.; Jack, S. The effects of exercise on pain, fatigue, insomnia, and health perceptions in patients with operable advanced stage rectal cancer prior to surgery: a pilot trial. BMC Cancer 2017, 17, 153. [Google Scholar] [CrossRef] [PubMed]
  13. Balderas-Peña, L.M.; González-Barba, F.; Martínez-Herrera, B.E.; Palomares-Chacón, U.R.; Durán-Anguiano, O.; Salazar-Páramo, M.; et al. Body composition and biochemical parameters of nutritional status: Correlation with health-related quality of life in patients with colorectal cancer. Nutrients. 2020, 12, 2110. [Google Scholar] [CrossRef] [PubMed]
  14. Kenkhuis, M.F.; van Roekel, E.H.; Koole,J. L.; Breedveld-Peters, J.J.L.; Breukink, S.O.; Janssen-Heijnen, M.L.G.; et al. Increases in adipose tissue and muscle function are longitudinally associated with better quality of life in colorectal cancer survivors. Sci Rep. 2021, 11, 12440. [Google Scholar] [CrossRef] [PubMed]
  15. Al-Shandudi, M.; Al-Mandhari, M.; Chan, M.F.; Al-Hajri, T.; Al-Balushi, M.; Al-Azri, M. Health-related quality of life of Omani colorectal cancer survivors. Cancer Control 2022, 29. [Google Scholar] [CrossRef] [PubMed]
  16. American Cancer Society. Colorectal cancer stages. Available at: https://www.cancer.org/cancer/types/colon-rectal-cancer/detection-diagnosis-staging/staged.html, accessed on 31 August, 2025.
  17. Hinz,A. ; Schulte, T.; Rassler, J.; Zenger, M.; Geue, K. Temporal stability of quality-of-life assessments in cancer patients. Sci Rep 2021, 11, 5191. [Google Scholar] [CrossRef] [PubMed]
Table 1. Baseline characteristics of CRC patients.
Table 1. Baseline characteristics of CRC patients.
Variables No (%)
Age (years), mean (SD) 59.83 (11.79)
Sex
Male 48 (55.2)
Female 39 (44.8)
Stage of CRC
Stage I 13 (14.9)
Stage II 26 (29.9)
Stage III 33 (37.9)
Stage IV 12 (13.8)
Unknown 3 (3.4)
Surgical treatment
Yes 81 (93.1)
No 6 (6.9)
Surgical types
Laparoscopic anterior resection 39 (44.8)
Laparoscopic anterior resection + Hartmann’s procedure 4 (4.6)
Anterior resection 2 (8.0)
Laparoscopic abdominoperineal resection 8 (9.2)
Sigmoid colectomy 10 (11.5)
Others 13 (14.9)
None 8 (6.9)
Chemotherapy treatment
Yes 68 (78.2)
No 19 (21.8)
Radiotherapy treatment
Yes 33 (37.9)
No 54 (62.1)
Chemotherapy/ Radiotherapy treatment types
Neoadjuvant chemotherapy 1 (1.1)
Adjuvant chemotherapy 39 (44.8)
Palliative chemotherapy 4 (4.6)
Neoadjuvant radiotherapy 4 (4.6)
Adjuvant radiotherapy 8 (9.2)
Neoadjuvant CCRT 12 (13.8)
CCRT 3 (3.4)
Adjuvant CCRT 6 (6.9)
Adjuvant palliative 1 (1.1)
None 9 (10.3)
Table 2. Mean scores of all items in QLQ-C30 of CRC patients.
Table 2. Mean scores of all items in QLQ-C30 of CRC patients.
Variables Mean (SD)
Global Health Status/ QoL 66.57 (20.75)
Functioning scale
Physical functioning 65.13 (22.61)
Role functioning 66.47 (25.98)
Emotional functioning 77.30 (18.96)
Cognitive functioning 86.67 (19.56)
Social functioning 69.73 (22.38)
Symptom scales
Fatigue 47.06 (23.96)
Nausea and vomiting 36.59 (25.52)
Pain 43.68 (24.54)
Dyspnea 10.34 (18.93)
Insomnia 16.09 (24.07)
Appetite loss 39.08 (27.00)
Constipation 15.58 (21.53)
Diarrhea 13.41 (19.99)
Financial difficulties 22.73 (27.47)
Table 3. Mean scores of all items in QLQ-C29 of CRC patients.
Table 3. Mean scores of all items in QLQ-C29 of CRC patients.
Variables Mean (SD)
Functioning scale
Body image 85.95 (17.73)
Anxiety 57.47 (22.56)
Weight 73.95 (22.40)
Sexual interest (men) 76.39 (25.69)
Sexual interest (women) 78.63 (23.55)
Symptom scales
Urinary frequency 43.29 (19.93)
Blood and mucus in stool 9.00 (13.88)
Stool frequency 21.26 (21.37)
Urinary incontinence 9.20 (16.81)
Dysuria 8.81 (12.15)
Abdominal pain 22.60 (24.11)
Buttock pain 12.65 (17.79)
Dry mouth 13.60 (20.89)
Hair loss 10.92 (15.21)
Taste 16.09 (21.18)
Flatulence 17.43 (19.51)
Fecal incontinence 14.75 (20.24)
Sore skin 9.96 (17.69)
Embarassment 7.09 (11.26)
Stoma care problems 31.11 (36.66)
Impotence 7.64 (19.73)
Dyspareuniaa 0.00 (0.00)
Table 4. Predictor factors of quality of life of CRC for functioning scales (C30).
Table 4. Predictor factors of quality of life of CRC for functioning scales (C30).
Predictive factors β 95% CI p-value β 95% CI p-value β 95% CI p-value
Global health status/ QOL Physical functioning Role functioning
Age -0.409 -0.778, -0.040 0.030 -0.673 -1.060, -0.286 0.001 -0.590 -1.047, -0.132 0.012
Sex 1.723 -7.214, 10.659 0.702 -3.109 -12.835, 6.617 0.527 7.318 -3.771, 18.408 0.193
Stage of cancer -5.203 -9.463, -0.943 0.017 -2.316 -7.091, 2.460 0.338 -8.528 -13.729, -3.326 0.002
Weight changes 1.018 0.184, 1.852 0.017 0.129 -0.811, 1.068 0.786 1.715 0.700, 2.729 0.001
BMI changes 1.092 -0.899, 3.083 0.278 -0.249 -2.433, 1.936 0.821 3.083 0.662, 5.504 0.013
WC changes 0.473 -0.211, 1.158 0.173 0.395 -0.357, 1.147 0.300 -0.414 -1.272, 0.445 0.341
HC changes 0.509 0.024, 0.994 0.040 0.438 -0.091, 0.967 0.104 0.421 -0.166, 1.008 0.158
Emotional functioning Cognitive functioning Social functioning
Age -0.049 -0.396, 0.297 0.778 -0.539 -0.877, -0.201 0.002 -0.241 -0.647, 0.165 0.240
Sex -3.005 -11.156, 5.146 0.466 2.991 -5.417, 11.399 0.481 -0.908 -10.555, 8.738 0.852
Stage of cancer -4.285 -8.205, -0.366 0.032 -3.431 -7.518, 0.655 0.099 -1.268 -6.012, 3.477 0.597
Weight changes 0.519 -0.261, 1.299 0.189 1.288 0.524, 2.052 0.001 0.418 -0.507, 1.344 0.371
BMI changes -0.021 -1.854, 1.812 0.982 2.294 0.470, 4.118 0.014 0.503 -1.657, 2.663 0.645
WC changes 0.0451 -0.170, 1.072 0.152 0.196 -0.453, 0.845 0.549 0.293 -0.446, 1.031 0.433
HC changes 0.456 0.016, 0.896 0.043 0.394 -0.063, 0.851 0.090 0.042 -0.483, 0.567 0.874
Table 5. Predictor factors of quality of life of CRC for symptoms scales (C30).
Table 5. Predictor factors of quality of life of CRC for symptoms scales (C30).
Predictive factors β 95% CI p-value β 95% CI p-value β 95% CI p-value
Fatigue Nausea and vomiting Body Pain
Age 0.411 -0.018, 0.840 0.060 0.241 -0.223, 0.705 0.305 0.608 0.179, 1.037 0.006
Sex -9.135 -19.275, 1.006 0.077 5.716 -5.219, 16.650 0.302 -5.582 -16.095, 4.931 0.294
Stage of cancer 4.448 -0.549, 9.444 0.080 -0.630 -6.048, 4.787 0.818 3.777 -1.370, 8.924 0.148
Weight changes -1.641 -2.572, -0.710 < 0.001 0.032 -1.029, 1.093 0.952 -0.906 -1.907, 0.095 0.076
BMI changes -3.396 -5.592, -1.199 0.003 -0.017 -2.483, 2.449 0.989 -1.844 -4.182, 0.494 0.121
WC changes -0.406 -1.178, 0.366 0.299 -1.192 -2.004, -0.380 0.005 -0.029 -0.854, 0.795 0.944
HC changes -0.299 -0.852, 0.253 0.284 -0.147 -0.753, 0.458 0.629 -0.210 -0.783, 0.362 0.467
Dyspnea Insomnia Loss of appetite
Age 0.091 -0.255, 0.437 0.602 -0.023 -0.463, 0.418 0.919 0.013 -0.481, 0.506 0.959
Sex -3.775 -11.895, 4.345 0.358 -2.315 -12.680, 8.050 0.658 -1.122 -12.759, 10.515 0.848
Stage of cancer -0.043 -4.062, 3.976 0.983 5.040 0.047, 10.034 0.048 2.954 -2.743, 8.651 0.305
Weight changes -0.638 -1.413, 0.136 0.105 -1.017 -1.993, -0.041 0.041 -0.430 -1.548, 0.688 0.447
BMI changes -0.976 -2.793, 0.841 0.289 -2.304 -4.576, -0.032 0.047 -1.050 -3.649, 1.549 0.424
WC changes -0.310 -0.868, 0.247 0.272 -0.893 -1.654, -0.133 0.022 -0.527 -1.417, 0.362 0.242
HC changes -0.131 -0.533, 0.272 0.520 -0.286 -0.846, 0.275 0.313 -0.201 -0.836, 0.435 0.531
Table 6. Predictor factors of quality of life of CRC for functioning scales (CR29).
Table 6. Predictor factors of quality of life of CRC for functioning scales (CR29).
Predictive factors β 95% CI p-value β 95% CI p-value
Body image Anxiety
Age 0.186 -0.136, 0.507 0.254 0.044 -0.368, 0.457 0.832
Sex 6.357 -1.162, 13.876 0.096 -1.923 -11.639, 7.793 0.695
Stage of cancer -4.633 -8.262, -1.004 0.013 -2.021 -6.791, 2.748 0.402
Weight changes 0.922 0.212, 1.631 0.011 0.168 -0.768, 1.105 0.721
BMI changes 1.912 0.249, 3.575 0.025 1.058 -1.110, 3.226 0.335
WC changes -0.413 -0.966, 0.139 0.140 0.424 -0.307, 1.155 0.252
HC changes -0.088 -0.465, 0.289 0.643 -0.027 -0.557, 0.502 0.919
Table 7. Predictor factors of quality of life of CRC for symptom scales (CR29).
Table 7. Predictor factors of quality of life of CRC for symptom scales (CR29).
β 95% CI p-value β 95% CI p-value β 95% CI p-value
Blood and mucus in stool Urinary incontinence Buttock pain
Age 0.226 -0.023, 0.475 0.075 0.432 0.139, 0.725 0.004 -0.027 -0.353, 0.298 0.868
Sex -8.574 -14.263, -2.884 0.004 -1.950 -9.186, 5.287 0.594 1.095 -6.569, 8.759 0.777
Stage of cancer 3.639 0.799, 6.479 0.013 0.518 -3.050, 4.087 0.774 4.094 0.423, 7.766 0.029
Weight changes -0.536 -1.100, 0.029 0.063 -0.560 -1.248, 0.128 0.109 -0.429 -1.162, 0.305 0.248
BMI changes -1.088 -2.408, 0.232 0.105 -0.617 -2.236, 1.003 0.451 0.159 -1.559, 1.878 0.854
WC changes 0.705 0.274, 1.135 0.002 -0.570 -1.066, -0.073 0.025 -0.079 -0.671, 0.513 0.792
HC changes -0.066 -0.388, 0.257 0.687 -0.260 -0.623, 0.104 0.159 0.037 -0.388, 0.462 0.863
Frequent stools Fecal Incontinence Bloating
Age 0.413 0.032, 0.793 0.034 0.184 -0.184, 0.552 0.322 0.436 -0.030, 0.902 0.066
Sex -0.588 -9.800, 8.624 0.899 -8.146 -16.694, 0.402 0.062 -5.662 -16.795, 5.471 0.315
Stage of cancer 6.083 1.739, 10.427 0.007 6.969 2.942, 10.995 0.001 6.761 1.442, 12.081 0.013
Weight changes -0.734 -1.608, 0.140 0.099 -0.952 -1.768, -0.136 0.023 -0.195 -1.005, 0.614 0.632
BMI changes -1.595 -3.631, 0.441 0.123 -2.050 -3.956, -0.145 0.035 0.861 -1.015, 2.737 0.364
WC changes 0.605 -0.082, 1.292 0.083 0.053 -0.598, 0.704 0.872 0.147 -0.501, 0.795 0.653
HC changes -0.118 -0.606, 0.369 0.631 0.030 -0.435, 0.496 0.897 -0.165 -0.628, 0.299 0.482
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