Abstract
Background:
Among Middle East countries, the prevalence of Metabolic Syndrome (MetS) and Type 2 Diabetes Mellitus (T2DM) dramatically increased in Iran. Very few evidence-based studies have been performed on the relationship between metabolic disorders and colorectal cancer (CRC) in developing countries at least in Iran.Objectives:
This case-control study aimed to determine the relationship between MetS and CRC risk.Methods:
A case-control study with 414 participants (207 cases and 207 controls) was conducted among referral hospitals (Imam Reza, Shahid Madani, and Sina) in Tabriz, Azerbaijan province, Iran. Cases with CRC confirmed by positive pathology and colonoscopy findings were selected and compared with the controls without neoplastic and chronic diseases at the same time and hospitals for the cases. Group matching was used based on sex and age variables for the case and control groups. MetS was defined by the International Diabetes Federation (IDF) criteria. Multiple logistic regression was used to estimate adjusted odds ratios for the association between MetS and odds of CRC.Results:
Out of 414 participants, 220 (53%) were men. Among the cases, 134 (64.73%) patients had MetS, while in the control group, 82 individuals (39.61) had MetS history. After adjusting for the confounders, MetS and DM history were significantly associated with elevated odds of CRC (OR: 2.79, %95 CI: 1.58 - 5.15, P = 0.001) and (OR: 2.57, %95 CI: 1.25 - 4.58, P = 0.006), respectively. We have observed also a dose-response relation and a trend between the components of MetS and CRC risk. So, the odds of CRC increased by rising numbers of MetS components.Conclusions:
It seems that MetS and its components are associated with an increased risk of CRC.Keywords
Colorectal Cancer Metabolic Syndrome Type 2 Diabetes Case-Control Study
1. Background
Colorectal cancer (CRC) is the third most widespread neoplasm and the second principal cause of cancer-associated deaths globally (1). Among Iranian women, CRC is the third and among men, it is the fourth most common malignancy. The incidence rate of CRC was increased significantly in the last decades in Iran, as a developing country (2). Developed countries have the highest rates of CRC, typically in western industrialized and municipal districts, including the United States, Canada, Australia, and North-Western Europe. In the United States, CRC is the second most important cause of malignancy-related fatality (3). In Asia, the prevalence of CRC is less than in North America, Europe, Australia, and New Zealand (1).
Lifestyle and metabolic disorders in particular Metabolic Syndrome (MetS) and Type 2 Diabetes Mellitus (T2DM) and other risk factors such as genetics, dietary pattern, smoking, obesity, stressful life events, and hormonal factors are the most important determinants of the risk of CRC in high-incidence countries (1, 4-6). MetS and T2DM are increasing dramatically in the world. Among Iranians, systematic review and meta-analysis studies indicated a high prevalence of MetS with 32% (7). MetS is a collection of metabolic factors, including high fasting blood sugar, hypertension, abdominal obesity, increased serum triglyceride level, and decreased high-density lipoprotein (HDL) cholesterol level. Several studies (8, 9) and a population-based prospective cohort study (10) show that MetS and T2DM were associated with CRC in western and industrialized countries. T2DM and MetS have procarcinogenic effects in the gastrointestinal system, especially colon and rectum by insulin resistance (8).
The prevalence of diabetes and obesity, with an estimated total of 400 million people suffering from T2DM, have been globally increased (11). Lifestyle changes are one of the most important public health problems in Iran, located in the Middle East’s diabetes belt and have one of the highest rates of T2DM with more than 4 million patients (12). In Iran, trend analysis based on systematic review studies indicated an ascending trend on both T2DM and obesity (13). Among 25 - 70-year-old persons, the T2DM incidence rate was increased by 35.1% and the total DM prevalence rate was 14.60% (14, 15).
2. Objectives
In the developing countries at least in Iran with a high prevalence of T2DM and obesity, very few analytical studies have been published on the association between CRC and metabolic disorders (7-9). Therefore, the aim of this study was to determine the relationship between CRC and MetS in Azerbaijan province, Iran.
3. Methods
3.1. Study Design
A case-control study was conducted from April 2012 through March 2014 in the general and referral hospitals (Imam Reza, Shahid Madani, and Sina) with Colonoscopy Units of the Cancer Institute, Tabriz, Azerbaijan province. The sample size was 207 subjects for each case and control groups based on Epi-info software, considering a confidence level of 95%, α = 0.05%, β = 0.2, OR = 2, and P0 = 0.3.
3.2. Participants
The study population included all patients referring to colonoscopy units. In Iran, names, as well as demographic and pathology characteristic of all neoplasmic patients with CRC, had been registered in the National Cancer Registration (NCR) software. The list of CRC cases in colonoscopy units matched the NCR list. A total of 414 subjects aged 35 to 75 years participated in the study; 207 CRC cases were defined based on confirmed pathology and colonoscopy findings, identified no longer than 6 months previous to the interview. The cases were selected by random quota sampling from the monthly list of patients referring to colonoscopy units and based on proportional to the size of hospital beds. Controls without neoplastic condition and chronic diseases such as psychiatry, digestive and diet-related and COPD were selected from the same hospitals and at the same period for the cases. The diagnosis of depression and psychological diseases was based on records in health centers, hospitals, and clinics, as well as self-reporting of patients. The case and control groups were matched by sex and age groups.
3.3. Matching Protocol
The group was matched for adjusting the potential confounder’s sex and age. In this matching, the subjects were divided into 3 age groups, including 35 to 45, 46 to 59, and ≥ 60 years. In each age group, the same number of subjects (22.68, 117 in the case group and 22.71, 114 in the controls) were selected, respectively. Furthermore, almost the same number of females and males were selected in the case and control groups (95, 99 female and 112, 108 male for case and control groups, respectively).
3.4. Inclusion and Exclusion Criteria
The inclusion criteria were CRC confirmed patients with positive colonoscopy and pathology findings for the cases aged 35 to 75 years; they matched NCR, signed the informed consent, and were free of CRC. The exclusion criteria were neoplastic conditions, age above 75 years old and lower than 35 years, history of depression and psychological diseases, and diet-related chronic diseases for controls.
3.5. Data Collection
A valid questionnaire was completed by trained interviewers to assess the history of T2DM, MetS, and CRC risk factors. This questionnaire included information on socio-demographic characteristics, DM history, blood profiles, and family history of CRC, physical activity, smoking habits, and dietary intake. This questionnaire has excellent validity and reproducibility. The content validity of this questionnaire has been confirmed by the panel team, including gastroenterologist, pathologist, epidemiologist, statistician, psychiatrist, and field experts and some questions were revised. Cronbach’s Alpha coefficient (α = 0.78) was used for the reliability of the questionnaire. The information contained in the questionnaire was collected by interviewing and extracting from the existing files of patients in colonoscopy, medical records, hospital admission, and hospital surgery units. The DM history was collected at least 1 year before cancer diagnosis among cases and at the same time interval for the control group. DM status was defined on the basis of the results of the blood glucose test in the patient records and by an interview with a patient or a medical doctor, who confirmed whether participants have diabetes and in case of a positive diagnosis, the age of diabetes diagnosis was asked. In order to confirm the diagnosis of subjects with self-reported DM, we referred to the hospital records of the patients or to the household records in the health centers. At least a 1-year interval was considered for the history of DM before the diagnosis of CRC.
MetS was defined based on the International Diabetes Federation (IDF) criteria by considering 3 or more following options: systolic blood pressure ≥ 130 mmHg or diastolic blood pressure ≥ 85, fasting blood sugar (FBS) ≥ 110 mg/dL, waist circumference ≥ 88 cm in women and ≥ 102 cm in men or body mass index (BMI) > 30 kg/m2, serum triglycerides (TG) > 150 mg/dL, and high density lipoprotein (HDL) < 40 mg/dL in men and < 50 mg/dL in women.
Blood pressure was measured twice with mercury barometric after 10 minutes resting between measurements. The mean of two systolic and diastolic blood pressures was considered as the final blood pressure. Five mL of fasting blood specimen was taken by the trained laboratory personnel for the determination of FBS, HDL, and TG.
Physical activity was assessed based on standard metabolic energy equivalent task (MET) times/week, which was used based on different activities, which were weighted according to intensity, time and period of activity during the last 1 year before CRC diagnosis. Vegetable consumption assessed by unit and food consumption was collected by the frequency of intake of a given serving of each food item daily, weekly, monthly, and yearly.
Weight, with minimal clothes and without shoes, was measured to the nearest to 0.1 kg before admission because the weight of patients with cancer was decreased during disease period. Height was measured, using SECA body meter. Height measurement was done with a precision nearest to 0.1 cm in stand position without shoes. Then, body mass index (BMI) was calculated according to WHO standard by dividing weight (kg) by the square of height (meter). Alcohol consumption was not answered by participants due to the religious beliefs of the Islamic Republic of Iran. Therefore, it was not included in the analysis.
3.6. Statistical Analysis
SPSS software (version 16.0, Chicago, IL, USA) was used for data analysis. For checking data normality, the Kolmogorov-Smirnov test was used. The chi-square test and the Cochran-Mantel-Hansel chi-square test with adjustments for sex were used to determine the relationship between study variables in the case and control groups (16). MetS status was divided into two categories; patients with MetS and without MetS. Then, the relationship between the number of components of the MetS and CRC with elevated components was assessed. Single logistic regression was used to estimate crude OR; then, significant variables and P values with less than 0.2 were applied in multiple logistic regression to estimate the adjusted odds ratio (AOR) with a 95% confidence interval (CI) for the risk of CRC. 95% confidence interval and P value < 0.05 was considered significant in all of the tests.
4. Results
The socioeconomic characteristics of the participants and odds of CRC were shown in Table 1. Out of the 414 subjects in the study, 220 (53%) were male. Average and standard deviation (SD) of age was 59.52 ± 13.58. Via group-matched design, age and sex were the same in controls and cases. Significant differences were found between cases and controls in the history of CRC and DM in the first-degree family, smoking, overcooked meat consumption (per week), high-fat food (per week), and physical activity.
Table 2 shows the crud and Mantel-Hansel adjusted odds ratio for CRC and history of DM and MetS status. Both the history of DM and MetS significantly increased odds of CRC by 2.71 and 2.79 times, respectively. Of 207 CRC cases, 48 (23.2%) had a history of DM at least in the last year while in the control group, 21 (10.14%) subjects had a history of DM. Also, MetS frequency was 134 (64.73%) in the case group and 82 (39.61%) in the control group. We also observed a dose-response relationship and an escalating trend between the components of MetS and CRC risk. So, the odds of CRC was increased by raising the numbers of MetS components. Patients with all MetS components had the highest odds ratio and increased the odds of CRC risk 14.47 times more than patients, who did not have any component whereas patients with only one component have the lowest odds ratio (1.52 times).
Among the components of MetS, there was a significant association between obesity, low HDL, and an increased risk of CRC (Table 3).
Final analysis by multiple logistic regression after adjusting for the confounders and estimating adjusted odds ratios and 95% confidence intervals indicated that MetS and DM history significantly increase the odds of CRC 2.71 and 2.79 times, respectively. The results showed that the odds of CRC in subjects with a history of MetS were 2.71 times higher than those without MetS. Among DM patients, the odds ratio (OR) of CRC risk was 2.79 times higher than that of the non-diabetics. Furthermore, significant differences were found between CRC and overcooked meat consumption, high-fat food, history of CRC, and DM in the first-degree family (Table 4).
| Variables | CRC (N = 207) | Control (N = 207) | P Value |
|---|---|---|---|
| Gender | 0.921 | ||
| Female | 95 (46) | 99 (48) | |
| Male | 112 (54) | 108 (52) | |
| Age (59.52 ± 13.58) | 60.54 ± 13.23 | 59.51 ± 13.73 | |
| ≤ 45 | 22 (10.62) | 22 (10.62) | 0.834 |
| 46 - 59 | 68 (32.8) | 71 (34.3) | |
| ≥ 60 | 117 (56.5) | 114 (55) | |
| Occupation | |||
| Employee | 29 (14) | 26 (12.56) | 0.327 |
| Farming related | 24 (11.6) | 24 (11.6) | |
| Household | 91 (44) | 109 (52.6) | |
| Others | 63 (30.4) | 48 (23.18) | |
| Educational level | |||
| Primary school | 131 (67.6) | 140 (67.6) | 0.723 |
| Secondary school | 57 (27.5) | 36 (17.4) | |
| High school and academic | 19 (9.2) | 31 (15) | |
| Residence | |||
| Urban | 144 (69.5) | 158 (76) | 0.250 |
| Rural | 63 (30.5) | 49 (24) | |
| Family history of CRC in first degree | 0.001 | ||
| Yes | 58 (28) | 28 (13.5) | |
| No | 149 (72) | 179 (86.5) | |
| History of diabetes in first degree | 0.006 | ||
| Yes | 78 (38) | 51 (25) | |
| No | 129 (62) | 156 (75) | |
| Smoking status (times/week) | 0.054 | ||
| Never | 169 (81.6) | 142 (68.5) | |
| Former | 32 (15.45) | 23 (11) | |
| Current < 20 | 16 (7.7) | 13 (6.3) | |
| Current ≥ 20 | 2 (1) | 17 (8.2) | |
| Smoking hookah | 0.410 | ||
| Yes | 10 (4.8) | 8 (3.8) | |
| No | 197 (95.2) | 199 (96) | |
| Never | 88 (42.5) | 70 (33.8) | |
| Physical activity (times/week) | 0.039 | ||
| 1 - 2 times/week | 113 (45.5) | 118 (57) | |
| ≤ 3 times/week | 6 (3) | 19 (9.2) | |
| Fried | 59 (28.5) | 39 (18.8) | |
| Overcooked meat consumption (per week) | 0.001 | ||
| 1 - 2 times ≥ | 54 (26.1) | 89 (43) | |
| 3 - 4 times | 109 (52.6) | 107 (52) | |
| Daily | 44 (21.3) | 9 (5) | |
| High-fat food (per week) | 0.001 | ||
| 1 - 2 times ≥ | 17 (8.2) | 69 (33.33) | |
| 3 - 4 times | 66 (31.8) | 100 (48.3) | |
| Daily | 124 (60) | 36 (18.37) | |
| Fruit and vegetable intake (daily/unit) | 0.011 | ||
| Poorest (1 ≥) | 71 (34.3) | 49 (23.67) | |
| Sometimes (2 - 3) | 113 (54.5) | 125 (60.38) | |
| Always (4 ≤) | 23 (11.2) | 31 (15) |
Crude and Adjusted Odds Ratio (AORs) and 95% Cls for Colorectal Cancer Risk in Relation to the History of MetS and Its Components
| Variable | CRC (n = 207) | Control (n = 207) | Crude OR (95% CI) | Adjusted OR (95% CI) |
|---|---|---|---|---|
| DM Historya | 2.67 (1.53 - 4.65) | 2.71 (1.54 - 4.76) | ||
| Yes | 48 (23.2) | 21 (10.14) | ||
| No | 159 (76.81) | 186 (89.85) | ||
| P value | 0.001 | 0.001 | ||
| MetS History | 2.81 (1.88 - 4.25) | 2.79 (1.87 - 4.16) | ||
| Yesb | 134 (64.73) | 82 (39.61) | ||
| No | 73 (35.26) | 125 (60.38) | ||
| P value | 0.001 | 0.001 | ||
| MetS component | ||||
| 0 | 7 | 28 | Ref | Ref |
| 1 | 27 | 42 | 2.56 (1.08 - 9.45) | 1.52 (0.88 - 10.90) |
| 2 | 39 | 55 | 3.16 (0.87 - 18.14) | 2.42 (0.73 - 15.65) |
| 3 | 52 | 39 | 6.32 (2.11 - 22.43) | 7.33 (2.76 - 23.58) |
| 4 | 49 | 28 | 9.20 (3.76 - 26.24) | 11.17 (3.53 - 9.80) |
| 5 | 33 | 15 | 11.73 (3.96 - 28.41) | 14.47 (4.26 - 31.75) |
| Components of MetS | Cases (N = 207) | Control (N = 207) | 95% CI | P Value |
|---|---|---|---|---|
| FBS | 1.17 (0.79 - 1.72) | 0.428 | ||
| < 110 | 87 | 95 | ||
| ≥ 110 | 120 | 112 | ||
| BMI | 3.01 (1.99 - 4.55) | 0.001 | ||
| < 30 kg/m2 | 99 | 152 | ||
| ≥ 30 kg/m2 | 108 | 55 | ||
| BP | 0.68 (0.45 - 1.05) | 0.076 | ||
| < 140/85 | 126 | 131 | ||
| ≥ 140/85 | 81 | 76 | ||
| HDL | 2.047 (1.34 - 3.12) | 0.0008 | ||
| > 40 in Male and > 50 in women | 51 | 83 | ||
| < 40 in Male and < 50 in women | 156 | 124 | ||
| TG | 1.25 (0.84 - 1.88) | 0.260 | ||
| < 150 mg/dL | 69 | 80 | ||
| > 150 mg/dL | 138 | 127 |
Multiple Logistic Regressions for Crude and Adjusted Odds Ratio (AOR) and 95% CI for CRC Risk and History of MetS in the Presence of Covariates
| Variables | CRC (n = 207) | Control (n = 207) | Crude OR (95% CI) | Adjusted OR (95% CI) |
|---|---|---|---|---|
| DM history | 2.67 (1.53 - 4.65) | 2.57 (1.27 - 5.23) | ||
| Yes | 48 (23.2) | 21 (10.14) | ||
| No | 159 (76.81) | 186 (89.85) | ||
| P value | 0.001 | 0.006 | ||
| MetS status | 2.81 (1.88 - 4.25) | 2.86 (1.58 - 5.15) | ||
| Yes | 134 (64.73) | 82 (39.61) | ||
| No | 73 (35.26) | 125 (60.38) | ||
| P value | 0.001 | 0.001 | ||
| History of CRC in the first-degree family | 2.48(1.5-4.1) | 1.97(1.2-3.97) | ||
| Yes | 58 (28) | 28 (13.5) | ||
| No | 149 (72) | 179 (86.5) | ||
| P value | 0.001 | 0.01 | ||
| History of diabetes in the first-degree family | 1.85 (1.21 - 2.82) | 2.27 (1.29 - 3.97) | ||
| Yes | 78 (38) | 51 (25) | ||
| No | 129 (62) | 156 (75) | ||
| P value | 0.006 | 0.004 | ||
| High-fat food (per week) | 3.64 (2.67 - 4.95) | 3.58 (2.5 - 5.14) | ||
| 1 - 2 times ≥ | 17 (8.2) | 69 (33.33) | ||
| 3 - 4 times | 66 (31.8) | 100 (48.3) | ||
| Daily | 124 (60) | 36 (18.37) | ||
| P value | 0.001 | 0.001 | ||
| Overcooked meat consumption (per week) | 2.21 (1.66 - 2.9) | 1.97 (1.39 - 2.79) | ||
| 1 - 2 times ≥ | 54 (26.1) | 89(43) | ||
| 3 - 4 times | 109 (52.6) | 107 (52) | ||
| Daily | 44 (21.3) | 9 (5) | ||
| P value | 0.001 | 0.001 | ||
| Physical activity (times/week) | 0.79 (0.64 - 0.98) | 0.81 (0.6 - 1.08) | ||
| 1 - 2 times/week | 113 (45.5) | 118 (57) | ||
| ≤ 3 times/week | 6 (3) | 19 (9.2) | ||
| Fried | 59 (28.5) | 39 (18.8) | ||
| P value | 0.039 | 0.163 | ||
| Fruit and vegetable intake (daily/unit) | 0.71 (0.53 - 0.92) | 0.89(0.61 - 1.29) | ||
| Poorest (1 ≥) | 71 (34.3) | 49 (23.67) | ||
| Sometimes (2 - 3) | 113 (54.5) | 125 (60.38) | ||
| Always (4 ≤) | 23 (11.2) | 31 (15) | ||
| P value | 0.011 | 0.530 |
5. Discussion
In the present study, after adjustment for the potential confounders and socio-demographic variables by multiple logistic regressions, MetS and DM history were significantly associated with the increased odds of CRC. The results of this study showed that the odds of developing CRC are clearly associated with metabolic disorders. Prospective (10) and systematic review studies (8, 15) in the world have been conducted to identify the relation of the history of DM and MetS to CRC, but the present research is one of the rare studies was conducted in Iran. Our results are completely consistent with the findings of studies in other countries, including the case-control studies of Woo et al. in Korea (17), Ulaganathan (18), and Cavicchia et al. in the USA (19).
In a population-based prospective study of Wang et al. with the presence of 37001 patients with diabetes and 148004 controls, the incidence of CRC in diabetic patients was 2.1 times higher than that of non-diabetic patients (10). In a case-control study in Korea (17) and the present study, the odds ratio of CRC was 2 and 2.57, respectively. The same result was found in the present study and Yang et al.’s study in the USA (20) and also a nested case-control study (21). As well, a systematic review and meta-analysis showed that the history of DM increases the risk of CRC compared with non-DM patients (8). Even, some studies have put up a step forward and have shown a positive and significant association between pre-diabetes and CRC (22).
Of course, only in the study of Dash et al. in the United States, no association was found between diabetes and CRC in African-American women (23).
There are several reasons and mechanisms to justify the relationship between metabolic disorders and DM with CRC. A theory is that hormones are involved in the incident of CRC. In patients with diabetes, there are high concentrations of insulin and insulin-like growth factor hormones. These hormones cause growth and expansion of cells and can also cause carcinogenesis (24). Another mechanism is related to insulin resistance. Insulin resistance in T2DM patients has pro-carcinogenic effects on the colon and rectum and digestive system (8).
The Islamic Republic of Iran is the second largest country in the Middle East (2). In 2000, the National Cancer Registry Program (INCRS) was launched in Iran. CRC is the third most common cancer in Iran (4). Based on the annual report of INCRS, CRC after stomach, bladder, and prostate cancer is the fourth common malignancy in men, but it the second most common malignancy after breast cancer among women (25). Although, CRC rates significantly varies in different geographical regions and provinces of Iran. Globally, CRC is the second and third most common malignancy in women and men, respectively (26). In the last decades, studies indicated a rapid increase in the incidence of CRC among Iranian (27) due to the environmental risk factors, improvement in the registry system, dietary patterns, and availability to health services. Among Iranians, the standardized rates of CRC were 8.16 and 6.17 for males and females, respectively (2).
Considering the high prevalence of DM in Iran as one of the risk factors for CRC, DM can be causative to this cancer. The health system of Iran has undergone a reform in the last decade. The National Action Plan for Prevention and Control of Non-Communicable Disease (NAPPCND) was performed and implemented in 2015 - 2016. The National CRC Screening among the 50 - 69 age group is ongoing in Iran. Due to the preventable and screenable capability of CRC, it can reduce the incidence and burden of this cancer in the future years.
MetS is one of the most health-related problems in Iran. Evidence-based and systematic review studies show that the prevalence of MetS is 32% among Iranians (7). Our study indicates that MetS increased the risk of CRC markedly, both in univariate and multiple analyses. Most of the findings regarding the association of MetS with CRC have been performed in developed and western societies (6, 16, and 29). Very few studies have reported the association of MetS and CRC in Iran. Most of them are cross sectional (28). The results of case-control studies are similar and in agreement with our findings (9, 29) and also a systematic review study (15). Moreover, in the present study and the study by Ulaganathan et al. (18), obesity and low HDL were the components of MetS that increased CRC risk.
According to the findings of the present study, there is a significant and affirmative relationship between high-fat diet and consumption of red meat with CRC risk. Reports from other studies also confirm our findings (29, 30), including Azizi et al.’s study in Azarbayjan province (4), a systematic review study (31), and a case-control study in Tehran (32). This observed relationship is reasonable with the delayed transmission of high-fat foods from the gastrointestinal system. This relationship also has been observed in animal clinical trials (33).
5.1. Conclusions
After adjusting for the confounders, our results indicated that MetS and DM history increase the odds of CRC risk. It is suggested that large prospective studies should be conducted with a high sample size. CRC screening should be applied among metabolic disorders especially among MetS and DM patients for the early diagnosis and treatment of CRC patients and increase the quality of life and survival of them. Moreover, health systems should apply for healthy lifestyle education programs and action plans to reduce the MetS components for CRC risk and other related chronic disease prevention.
5.2. Limitations
Although our study after adjusting for the confounders found the association between history of DM, MetS, and CRC risk, there are several limitations. We tried to reduce temporality biases between the history of DM, MetS, and CRC through including patients with DM and MetS detection 1 year before cancer diagnosis. Although another concern was selection bias, to diminish this bias, controls were study-based on cases (colonoscopy units) and case and control groups matched age and gender and logistic regression models were used to estimate adjusted ORs.
Acknowledgements
References
-
1.
Azizi H, Davtalab Esmaeili E. Stressful life events and risk of colorectal cancer: A case-control study of Iran. Asian Pac J Cancer Prev. 2015;16(6):2403-7. [PubMed ID: 25824772]. https://doi.org/10.7314/apjcp.2015.16.6.2403.
-
2.
Dolatkhah R, Somi MH, Kermani IA, Ghojazadeh M, Asghari Jafarabadi M, Farassati F, et al. Increased colorectal cancer incidence in Iran: A systematic review and meta-analysis. BMC Public Health. 2015;15:997. [PubMed ID: 26423906]. [PubMed Central ID: PMC4589975]. https://doi.org/10.1186/s12889-015-2342-9.
-
3.
Siegel R, DeSantis C, Virgo K, Stein K, Mariotto A, Smith T, et al. Cancer treatment and survivorship statistics, 2012. CA Cancer J Clin. 2012;62(4):220-41. [PubMed ID: 22700443]. https://doi.org/10.3322/caac.21149.
-
4.
Azizi H, Asadollahi K, Davtalab Esmaeili E, Mirzapoor M. Iranian dietary patterns and risk of colorectal cancer. Health Promot Perspect. 2015;5(1):72-80. [PubMed ID: 26000248]. [PubMed Central ID: PMC4430700]. https://doi.org/10.15171/hpp.2015.009.
-
5.
Dolatkhah R, Somi MH, Shabanloei R, Farassati F, Fakhari A, Dastgiri S. Main risk factors association with proto-oncogene mutations in colorectal cancer. Asian Pac J Cancer Prev. 2018;19(8):2183-90. [PubMed ID: 30139223]. [PubMed Central ID: PMC6171391]. https://doi.org/10.22034/APJCP.2018.19.8.2183.
-
6.
Trabulo D, Ribeiro S, Martins C, Teixeira C, Cardoso C, Mangualde J, et al. Metabolic syndrome and colorectal neoplasms: An ominous association. World J Gastroenterol. 2015;21(17):5320-7. [PubMed ID: 25954106]. [PubMed Central ID: PMC4419073]. https://doi.org/10.3748/wjg.v21.i17.5320.
-
7.
Dalvand S, Bakhshi E, Zarei M, Taheri Asl M, Ghanei R. [Prevalence of metabolic syndrome in Iran: A systematic review and meta-analysis]. Med Surg Nurs J. 2017;5:1-14. Persian.
-
8.
Guraya SY. Association of type 2 diabetes mellitus and the risk of colorectal cancer: A meta-analysis and systematic review. World J Gastroenterol. 2015;21(19):6026-31. [PubMed ID: 26019469]. [PubMed Central ID: PMC4438039]. https://doi.org/10.3748/wjg.v21.i19.6026.
-
9.
Azizi H, Delpisheh A, Sayehmiri K, Asadollahi K, Davtalab Esmaeili E, Sharbafi J. [Risk of colorectal cancer in type 2 diabetic patients]. Med J Tabriz Uni Med Sci Health Services. 2016;38(4):56. Persian.
-
10.
Wang JY, Chao TT, Lai CC, Wang CY, Wu VC, Wang SM, et al. Risk of colorectal cancer in type 2 diabetic patients: A population-based cohort study. Jpn J Clin Oncol. 2013;43(3):258-63. [PubMed ID: 23288931]. https://doi.org/10.1093/jjco/hys228.
-
11.
Peeters PJ, Bazelier MT, Leufkens HG, de Vries F, De Bruin ML. The risk of colorectal cancer in patients with type 2 diabetes: Associations with treatment stage and obesity. Diabetes Care. 2015;38(3):495-502. [PubMed ID: 25552419]. https://doi.org/10.2337/dc14-1175.
-
12.
Delpisheh A, Azizi H, Dantalab Esmaeili E, Haghiri L, Karimi G, Abbasi F. [The quality of care and blood sugar control in type ΙΙ Diabetic patients of rural areas under the care by family physicians]. Iran J Diabetes Metabol. 2016;14(3):189-98. Persian.
-
13.
Esteghamati A, Etemad K, Koohpayehzadeh J, Abbasi M, Meysamie A, Noshad S, et al. Trends in the prevalence of diabetes and impaired fasting glucose in association with obesity in Iran: 2005-2011. Diabetes Res Clin Pract. 2014;103(2):319-27. [PubMed ID: 24447808]. https://doi.org/10.1016/j.diabres.2013.12.034.
-
14.
Rahmani A, Sayehmiri K, Asadollahi K, Sarokhani D, Islami F, Sarokhani M. Investigation of the prevalence of obesity in Iran: A systematic review and meta-analysis study. Acta Med Iran. 2015;53(10):596-607. [PubMed ID: 26615371].
-
15.
Esposito K, Chiodini P, Capuano A, Bellastella G, Maiorino MI, Rafaniello C, et al. Colorectal cancer association with metabolic syndrome and its components: A systematic review with meta-analysis. Endocrine. 2013;44(3):634-47. [PubMed ID: 23546613]. https://doi.org/10.1007/s12020-013-9939-5.
-
16.
Szklo M, Nieto FJ. Quality assurance and control. Epidemiology beyond the Basics. Sudbury, MA: Jones and Bartlett; 2004.
-
17.
Woo H, Lee J, Lee J, Park JW, Park S, Kim J, et al. Diabetes mellitus and site-specific colorectal cancer risk in Korea: A case-control study. J Prev Med Public Health. 2016;49(1):45-52. [PubMed ID: 26841884]. [PubMed Central ID: PMC4750510]. https://doi.org/10.3961/jpmph.15.029.
-
18.
Ulaganathan V, Kandiah M, Mohd Shariff Z. A case-control study of the association between metabolic syndrome and colorectal cancer: A comparison of International Diabetes Federation, National Cholesterol Education Program Adults Treatment Panel III, and World Health Organization definitions. J Gastrointest Oncol. 2018;9(4):650-63. [PubMed ID: 30151261]. [PubMed Central ID: PMC6087864]. https://doi.org/10.21037/jgo.2018.04.01.
-
19.
Cavicchia PP, Adams SA, Steck SE, Hussey JR, Liu J, Daguise VG, et al. Racial disparities in colorectal cancer incidence by type 2 diabetes mellitus status. Cancer Causes Control. 2013;24(2):277-85. [PubMed ID: 23197224]. [PubMed Central ID: PMC3557726]. https://doi.org/10.1007/s10552-012-0095-7.
-
20.
Yang YX, Hennessy S, Lewis JD. Type 2 diabetes mellitus and the risk of colorectal cancer. Clin Gastroenterol Hepatol. 2005;3(6):587-94. [PubMed ID: 15952101].
-
21.
Wang JL, Chang CH, Lin JW, Wu LC, Chuang LM, Lai MS. Infection, antibiotic therapy and risk of colorectal cancer: A nationwide nested case-control study in patients with Type 2 diabetes mellitus. Int J Cancer. 2014;135(4):956-67. [PubMed ID: 24470385]. https://doi.org/10.1002/ijc.28738.
-
22.
Cha JM, Lee JI, Joo KR, Shin HP, Jeun JW, Lim JU. Prediabetes is associated with a high-risk colorectal adenoma. Dig Dis Sci. 2013;58(7):2061-7. [PubMed ID: 23423502]. https://doi.org/10.1007/s10620-013-2591-3.
-
23.
Dash C, Palmer JR, Boggs DA, Rosenberg L, Adams-Campbell LL. Type 2 diabetes and the risk of colorectal adenomas: Black Women's Health Study. Am J Epidemiol. 2014;179(1):112-9. [PubMed ID: 24091887]. [PubMed Central ID: PMC3864712]. https://doi.org/10.1093/aje/kwt227.
-
24.
Renehan AG, Shalet SM. Diabetes, insulin therapy, and colorectal cancer. BMJ. 2005;330(7491):551-2. [PubMed ID: 15760973]. [PubMed Central ID: PMC554015]. https://doi.org/10.1136/bmj.330.7491.551.
-
25.
GLOBOCAN 2012, IARC publication. 2012. Available from: http://www-dep.iarc.fr.
-
26.
Abdifard E, Ghaderi S, Hosseini S, Heidari M. Incidence trends of colorectal cancer in the West of Iran during 2000-2005. Asian Pac J Cancer Prev. 2013;14(3):1807-11. [PubMed ID: 23679278]. https://doi.org/10.7314/apjcp.2013.14.3.1807.
-
27.
Croft B, Reed M, Patrick C, Kovacevich N, Voutsadakis IA. Diabetes, obesity, and the metabolic syndrome as prognostic factors in stages I to III colorectal cancer patients. J Gastrointest Cancer. 2019;50(2):221-9. [PubMed ID: 29335847]. https://doi.org/10.1007/s12029-018-0056-9.
-
28.
Forootan M, Tabatabaeefar M, Yahyaei M, Maghsoodi N. Metabolic syndrome and colorectal cancer: A cross-sectional survey. Asian Pac J Cancer Prev. 2012;13(10):4999-5002. [PubMed ID: 23244098]. https://doi.org/10.7314/apjcp.2012.13.10.4999.
-
29.
Ulaganathan V, Kandiah M, Zalilah MS, Faizal JA, Fijeraid H, Normayah K, et al. Colorectal cancer and its association with the metabolic syndrome: A Malaysian multi-centric case-control study. Asian Pac J Cancer Prev. 2012;13(8):3873-7. [PubMed ID: 23098486]. https://doi.org/10.7314/apjcp.2012.13.8.3873.
-
30.
Rezaianzadeh A, Safarpour AR, Marzban M, Mohaghegh A. A systematic review over the incidence of colorectal cancer in Iran. Ann Colorectal Res. 2015;3(1). e25724. en. https://doi.org/10.17795/acr-25724.
-
31.
Turner ND, Lloyd SK. Association between red meat consumption and colon cancer: A systematic review of experimental results. Exp Biol Med (Maywood). 2017;242(8):813-39. [PubMed ID: 28205448]. [PubMed Central ID: PMC5407540]. https://doi.org/10.1177/1535370217693117.
-
32.
Safari A, Shariff ZM, Kandiah M, Rashidkhani B, Fereidooni F. Dietary patterns and risk of colorectal cancer in Tehran Province: A case-control study. BMC Public Health. 2013;13:222. [PubMed ID: 23497250]. [PubMed Central ID: PMC3605096]. https://doi.org/10.1186/1471-2458-13-222.
-
33.
Lieberman DA, Prindiville S, Weiss DG, Willett W; V. A. Cooperative Study Group. Risk factors for advanced colonic neoplasia and hyperplastic polyps in asymptomatic individuals. JAMA. 2003;290(22):2959-67. [PubMed ID: 14665657]. https://doi.org/10.1001/jama.290.22.2959.