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The Korean Journal of Internal Medicine logoLink to The Korean Journal of Internal Medicine
. 2022 Jul 25;37(5):969–978. doi: 10.3904/kjim.2021.506

Factors associated with the risk of colorectal neoplasia in young adults under age 40

Ilsoo Kim 1, Han Hee Lee 1,, Young Jae Ko 1, Ho Eun Chang 1, Dae Young Cheung 1, Bo-In Lee 1, Young-Seok Cho 1, Jin Il Kim Il 1, Myung-Gyu Choi 1
PMCID: PMC9449198  PMID: 35872626

Abstract

Background/Aims

Recent epidemiologic studies have shown a continued increase in colorectal cancer incidence among younger adults. Little is known about the factors that contribute to the development of young-onset colorectal neoplasia (CRN).

Methods

A cross-sectional analysis was performed for individuals younger than 40 years who underwent colonoscopy in Seoul St. Mary’s Hospital and its affiliated health screening center. High-risk CRN was defined as adenoma or sessile serrated lesion ≥ 10 mm, with three or more adenomas, villous histology, high grade dysplasia, or carcinoma.

Results

Of these 13,621 included participants, 2,023 (14.9%) had one and more CRN. Young patients with CRN tended to be elderly, male, obese, smoker, having a habit of drinking, and having comorbidities such as hypertension, dyslipidemia, diabetes, and chronic kidney disease. In a multivariate analysis adjusted for age, sex, obesity, smoking status, and alcohol intake, old age (odds ratio [OR], 1.086; 95% confidence interval [CI], 1.054 to 1.119), male sex (OR, 1.748; 95% CI, 1.247 to 2.451), obesity (OR, 1.439; 95% CI, 1.133 to 1.828), and smoking (OR, 1.654; 95% CI, 1.287 to 2.127) were independent risk factors for overall CRN. Obesity and smoking as two modifiable factors increased the risk for high-risk CRN even more than for overall CRN (OR, 1.734; 95% CI, 1.168 to 2.575 and OR, 1.797; 95% CI, 1.172 to 2.753, respectively).

Conclusions

Obesity and smoking were modifiable risk factors for CRN in young adults. They increased the risk for high-risk CRN even more than for overall CRN. A colonoscopy might be beneficial for young individuals with these factors.

Keywords: Colonoscopy, Colorectal neoplasms, Early detection of cancer, Risk factors

Graphical abstract

graphic file with name kjim-2021-506f1.jpg

INTRODUCTION

Colorectal cancer (CRC) is the third most commonly diagnosed cancer and the second leading cause of cancer mortality, with an incidence of 1.88 million and 915,880 deaths worldwide in 2020 [1]. Regular screening colonoscopy beginning at age 50 has reduced CRC incidence and mortality by removing precancerous adenoma and detecting early-stage CRC [2,3]. However, young adults who are outside of this age range for screening show increasing CRC incidence and mortality globally [35]. In particular, adults under the age of 50 who were born in 1990 have double the risk of colon cancer and quadruple the risk of rectal cancer compared with their age-matched counterparts born in 1950 in the United States [3]. Based on this strong epidemiologic evidence, the American Cancer Society has recommended lowering the age of screening to be 45 years old [6].

As the utilization of colonoscopy increased, the detection of sporadic colorectal adenomas in young people is becoming more common recently [3]. A recent systematic review has demonstrated that the pooled overall prevalence of young-onset adenoma diagnosed at ages between 18 and 49 years old is 9% [7]. Considering that most CRCs arise from precancerous adenomas [8], early detection and removal of which are also the best way to reduce the CRC incidence and mortality in young adults. However, in terms of cost-effectiveness, it is not easy to adopt a screening strategy covering all young adults. If risk factors for young-onset colorectal neoplasia (CRN) are clearly identified, it might be a more reasonable approach to conduct a selective screening program only for high-risk populations.

Risk factors associated with sporadic young-onset CRN have not been well-characterized yet. Previous studies have reported that risk factors for young-onset CRN include increasing age, male gender, obesity, smoking, alcohol intake, metabolic syndrome, elevated fasting blood glucose, hyper-triglyceridemia, and prior abdominopelvic radiotherapy for childhood cancers [913]. However, most studies were focused on the population over the age of 40. Data on the population under the age of 40 were very limited.

Therefore, the objective of this study was to investigate the prevalence and risk factors for CRN in a large cohort of the population under the age of 40 who underwent screening or diagnostic colonoscopy. In addition, we evaluated the degree of identified risk factors in high-risk CRN as well as in overall CRN.

METHODS

Study population

This cross-sectional, retrospective study reviewed 14,338 individuals aged 18 to 40 years who underwent screening or diagnostic colonoscopy between 2008 and 2018 at Seoul St. Mary’s Hospital and its affiliated health screening center. Subjects were excluded if they met the following exclusion criteria: (1) had a documented inflammatory bowel disease; (2) had a history of prior colon surgery; (3) had a first-degree family history of CRC; or (4) incomplete procedures due to poor preparation or failed cecal intubation. The study design was approved by the Institutional Review Board of Seoul St. Mary’s Hospital (approval number: KC19RESI0337). Written informed consent by the patients was waived due to a retrospective nature of our study.

Measurements

All subjects who received a health check-up were demanded to complete a self-administered questionnaire, which included questions on medical history, medication use, health-related behaviors (smoking status [current, former, and never], alcohol consumption [less than once a fortnight, no; at least once a fortnight or more, yes], and physical activity) and family history of CRC. A family history of CRC was defined as CRC in at least one first-degree relative(s) of any age. Physical characteristics were measured by trained nurses. Body weight was measured with subjects wearing light clothes without shoes. Body mass index (BMI) was calculated as weight in kilograms divided by height in meters squared. Subjects with a BMI ≥ 25 kg/m2 were defined as obese based on Asia-Pacific classification of BMI [911]. Abdominal obesity was defined as waist circumference ≥ 90 cm in men or ≥ 80 cm in women. Other covariates were defined as follows: elevated fasting blood glucose level ≥ 100 mg/dL, elevated total cholesterol ≥ 200 mg/dL, reduced high density lipoprotein cholesterol (HDL-C) < 40 mg/dL for men and < 50 mg/dL for women, elevated triglyceride (TG) ≥ 150 mg/dL, elevated systolic blood pressure ≥ 130 mmHg, elevated diastolic blood pressure ≥ 85 mmHg [12], and elevated carcinoembryonic antigen (CEA) ≥ 3 ng/mL. Fatty liver and chronic kidney disease were identified with a questionnaire or medical record review.

Colonoscopy

All colonoscopies were conducted by experienced endoscopists. Either endoscopic removal or biopsy was done for any suspicious neoplastic lesion during colonoscopies. All specimens were examined by experienced pathologists. Overall CRN refers to all neoplastic lesions including any adenoma and cancer. Sessile serrated lesions were also included in neoplastic lesions, while hyperplastic polyps were not. High-risk CRN was defined as adenoma with size ≥ 10 mm, sessile serrated lesion with size ≥ 10 mm, 3 or more adenomas in number, villous histology, high grade dysplasia, or carcinoma in pathology [13].

Statistical analysis

Continuous variables were described as mean±standard deviation or median (interquartile range) and compared using Student’s t test. Categorical variables were expressed as numbers (percentage) and analyzed using the chi-square test and trend test as appropriate. We used multiple logistic regression analysis to determine the odds ratios (OR) for developing overall CRN and high-risk CRN. Variables showing p values < 0.10 after univariate analysis and those that were considered clinically relevant were included in a multivariate logistic regression model to identify independent factors associated with CRN. Multivariate models were adjusted for age, sex, obesity, smoking status, and alcohol intake. p values < 0.05 were considered statistically significant. All data analyses were performed using SAS software package version 8.02 (SAS Institute, Cary, NC, USA). The present study was under the statistical consultation supported by the Department of Biostatistics of the Catholic Research Coordinating Center.

RESULTS

Among 14,338 eligible subjects, 717 were excluded because of documented inflammatory bowel disease (n = 22), a history of prior colon surgery (n = 46), first-degree family history of CRC (n = 298), or incomplete procedures due to poor preparation or failed cecal intubation (poor preparation, n = 247; failed cecal intubation, n = 104). As a result, 13,621 participants were included in this study. The mean age of study participants was 35.2 ± 4.0 years. The proportion of males was 62.5%.

Of these 13,621 included participants, 2,023 (14.9%) had one or more CRN. Table 1 shows the demographic characteristics of study participants according to the existence of CRN. Subdivided by age group, the prevalence of CRN was 9.8% (127/1291) in the age group of under 30 years and 15.4% (1,896/12,330) in the age group of 30 to 39 years. The prevalence of CRN was statistically significantly higher in subjects with the following characteristics: old age, male sex, obesity, fatty liver, chronic kidney disease, elevated FBG levels, elevated total cholesterol levels, reduced HDL-C levels, high low density lipoprotein cholesterol levels, elevated TG levels, elevated CEA levels, elevated systolic blood pressure, elevated diastolic blood pressure, drinker, and smoker. The characteristics of CRN were summarized in Table 2.

Table 1.

Demographic characteristics of study participants according to the existence of colorectal neoplasia

Characteristic Total (n = 13,621) Without CRN (n = 11,598) With CRN (n = 2,023) p value
Age, yr 35.2 ± 4.0 35.1 ± 4.1 35.7 ± 3.8 < 0.001
Male sex 8,424 (61.8) 6,901 (59.5) 1,523 (75.3) < 0.001
Obesitya 4,162 (30.6) 3,329 (28.7) 833 (41.2) < 0.001
Abdominal obesityb 3,896 (28.6) 3,305 (28.5) 591 (29.2) 0.556
Fatty liver 1,144 (8.4) 928 (8.0) 216 (10.7) 0.020
Chronic kidney disease 114 (0.8) 69 (0.6) 45 (2.2) < 0.001
Elevated FBG levelsc 1,408 (10.3) 1,113 (9.6) 295 (14.6) < 0.001
Elevated TC levelsd 6,186 (45.4) 5,138 (44.3) 1,048 (51.8) < 0.001
Reduced HDL-C levelse 2,970 (21.8) 2,296 (19.8) 674 (33.3) < 0.001
LDL-C levels, mg/dL 122.5 ± 31.7 121.4 ± 31.2 127.8 ± 33.4 < 0.001
Elevated TG levelsf 2,791 (20.5) 2,192 (18.9) 599 (29.6) < 0.001
Elevated CEA levelsg 305 (2.4) 243 (2.2) 62 (3.7) < 0.001
Elevated systolic BPh 2,136 (15.7) 1,705 (14.7) 431 (21.3) < 0.001
Elevated diastolic BPi 1,202 (8.8) 951 (8.2) 251 (12.4) < 0.001
Alcohol consumptionj 9,613 (70.6) 8,084 (69.7) 1,529 (75.6) < 0.001
Current or former smokerk 6,503 (47.7) 5,289 (45.6) 1,214 (60.0) < 0.001
Daily coffee consumptionl 4,753 (89.2) 3,899 (89.1) 854 (90.1) 0.356
Regular exercisem 1,049 (40.8) 883 (41.7) 166 (36.8) 0.057

Values are presented as mean ± standard deviation or number (%).

CRN, colorectal neoplasia; FBG, fasting blood glucose; TC, total cholesterol; HDL-C, high density lipoprotein cholesterol; LDL-C, low density lipoprotein cholesterol; TG, triglyceride; CEA, carcinoembryonic antigen; BP, blood pressure.

a

Body mass index ≥ 25 kg/m2.

b

A waist circumference ≥ 90 cm for men and ≥ 80 cm for women.

c

Fasting blood glucose level of ≥ 100 mg/dL.

d

Total cholesterol ≥ 200 mg/dL.

e

HDL-C < 40 mg/dL for men and < 50 mg/dL for women.

F

Triglyceride ≥ 150 mg/dL.

g

CEA ≥ 3 ng/mL. CEA was evaluated in 11,038 and 1,684 participants in the without and with CRN group, respectively.

h

Systolic BP ≥ 130 mmHg.

i

Diastolic BP ≥ 85 mmHg.

j

One glass of liquor at least once a month.

k

Any amount of cigarette smoking history.

l

At least one cup of coffee a day. Daily coffee consumption was evaluated in 4,378 and 948 participants in the without and with CRN group, respectively.

m

At least once a fortnight. Regular exercise was evaluated in 2,120 and 451 participants in the without and with CRN group, respectively.

Table 2.

Characteristics of colorectal neoplasia

Characteristic Colorectal neoplasia group (n = 2,023)
Number 1.3 ± 0.8
 1 1,637 (80.9)
 2 281 (13.9)
 ≥ 3 105 (5.2)
Size, mma 4.5 ± 5.2
 < 5 1,675 (82.8)
 5–9 201 (9.9)
 ≥ 10 147 (7.3)
Histology
 Tubular adenoma, low grade dysplasia 1,567 (77.5)
 Tubular adenoma, high grade dysplasia 332 (16.4)
 Tubulovillous/villous adenoma 14 (0.7)
 Sessile serrated lesion 100 (4.9)
 Adenocarcinoma 10 (0.5)
Location
 Proximal colonb 851 (42.1)
 Distal colonc 998 (49.3)
 Both proximal and distal colon 174 (8.6)

Values are presented as mean ± standard deviation or number (%).

a

In cases of two or more adenomas, the largest adenoma or the adenoma with more advanced pathology was evaluated.

b

Cecum, ascending colon, and transverse colon.

c

Splenic flexure, descending colon, sigmoid colon, and rectum.

Results of univariate and multivariate analyses for risk factors of overall CRN are shown in Table 3. All significant univariate variables were chosen for multivariate analysis. In a multivariate analysis adjusted for age, sex, obesity, smoking status, and alcohol intake, old age (OR, 1.086; 95% confidence interval [CI], 1.054 to 1.119), male sex (vs. female: OR, 1.748; 95% CI, 1.247 to 2.451), obesity (OR, 1.439; 95% CI, 1.133 to 1.828), and smoking (OR, 1.654; 95% CI, 1.287 to 2.127) were independent risk factors for overall CRN.

Table 3.

Univariate and multivariate analyses of risk factors associated with overall colorectal neoplasia

Variable Univariate analysis Multivariate analysis


OR (95% CI) p value OR (95% CI) p value
Age, yr 1.045 (1.031–1.058) < 0.001 1.085 (1.054–1.119) < 0.001

Male sex 2.083 (1.866–2.326) < 0.001 1.748 (1.247–2.451) 0.001

Obesitya 1.738 (1.571–1.922) < 0.001 1.439 (1.133–1.828) 0.003

Abdominal obesityb 1.033 (0.928–1.149) 0.554

Fatty liver 1.373 (1.051–1.793) 0.020 1.199 (0.752–1.911) 0.446

Chronic kidney disease 3.740 (1.935–7.230) < 0.001 0.967 (0.259–3.609) 0.960

Elevated FBG levelsc 1.611 (1.390–1.867) < 0.001 1.002 (0.205–4.886) 0.999

Elevated TC levelsd 1.354 (1.221–1.501) < 0.001 0.974 (0.747–1.269) 0.843

Reduced HDL-C levelse 2.023 (1.818–2.250) < 0.001 1.069 (0.850–1.345) 0.569

LDL-C levels 1.006 (1.005–1.008) < 0.001 1.002 (0.998–1.007) 0.243

Elevated TG levelsf 1.811 (1.612–2.034) < 0.001 1.190 (0.945–1.497) 0.139

Elevated CEA levelsg 1.692 (1.262–2.268) < 0.001 0.848 (0.491–1.464) 0.554

Elevated systolic BPh 1.569 (1.378–1.785) < 0.001 1.178 (0.745–1.861) 0.483

Elevated diastolic Bpi 1.587 (1.350–1.866) < 0.001 1.064 (0.740–1.531) 0.737

Alcohol consumptionj 1.353 (1.175–1.558) < 0.001 0.836 (0.630–1.109) 0.213

Current or former smokerk 1.790 (1.549–2.070) < 0.001 1.654 (1.287–2.127) < 0.001

Daily coffee consumptionl 1.116 (0.884–1.409) 0.356

Regular exercisem 0.816 (0.661–1.007) 0.058 0.804 (0.638–1.014) 0.066

Odds ratios were calculated by using logistic regression.

OR, odds ratio; CI, confidence interval; FBG, fasting blood glucose; TC, total cholesterol; HDL-C, high density lipoprotein cholesterol; LDL-C, low density lipoprotein cholesterol; TG, triglyceride; CEA, carcinoembryonic antigen; BP, blood pressure.

a

Body mass index ≥ 25 kg/m2.

b

A waist circumference ≥ 90 cm for men and ≥ 80 cm for women.

c

Fasting blood glucose level of ≥ 100 mg/dL.

d

Total cholesterol ≥ 200 mg/dL.

e

HDL-C < 40 mg/dL for men and < 50 mg/dL for women.

F

Triglyceride ≥ 150 mg/dL.

g

CEA ≥ 3 ng/mL.

h

Systolic BP ≥ 130 mmHg.

i

Diastolic BP ≥ 85 mmHg.

j

One glass of liquor at least once a month.

k

Any amount of cigarette smoking history.

l

At least one cup of coffee a day.

m

At least once a fortnight.

The prevalence of high-risk CRN was 3.8% (518/13,621). Results of univariate and multivariate analyses for risk factors of high-risk CRN are shown in Table 4. In a multivariate analysis adjusted for age, sex, obesity, smoking status, and alcohol intake, old age (OR, 1.090; 95% CI, 1.036 to 1.147), male sex (OR, 1.946; 95% CI, 1.052 to 3.597), obesity (OR, 1.734; 95% CI, 1.168 to 2.575), and smoking (OR, 1.797; 95% CI, 1.172 to 2.753) were independent risk factors for high-risk CRN. Those with two modifiable factors, obesity and smoking, had more significant risk for high-risk CRN than for overall CRN.

Table 4.

Univariate and multivariate analyses of risk factors associated with high-risk colorectal neoplasia

Variable Univariate analysis Multivariate analysis


OR (95% CI) p value OR (95% CI) p value
Age 1.052 (1.027–1.078) < 0.001 1.090 (1.036–1.147) 0.001

Sex 1.821 (1.495–2.222) < 0.001 1.946 (1.052–3.597) 0.034

Obesitya 1.733 (1.442–2.082) < 0.001 1.734 (1.168–2.575) 0.006

Abdominal obesityb 0.929 (0.761–1.134) 0.469

Fatty liver 1.233 (0.794–1.914) 0.351

Chronic kidney disease 1.921 (0.565–6.535) 0.296

Elevated FBG levelsc 1.438 (1.088–1.900) 0.011 0.812 (0.466–1.414) 0.462

Elevated TC levelsd 1.344 (1.105–1.634) 0.003 1.296 (0.885–1.900) 0.183

Reduced HDL-C levelse 2.430 (2.018–2.926) < 0.001 0.898 (0.551–1.462) 0.664

LDL-C levels 1.005 (1.002–1.008) < 0.001 1.005 (0.999–1.011) 0.134

Elevated TG levelsf 1.938 (1.566–2.398) < 0.001 1.124 (0.730–1.730) 0.597

Elevated CEA levelsg 2.129 (1.314–3.452) 0.002 1.043 (0.400–2.719) 0.931

Elevated systolic BPh 1.508 (1.184–1.921) 0.001 1.422 (0.908–2.228) 0.124

Elevated diastolic BPi 1.382 (1.011–1.890) 0.042 1.516 (0.863–2.664) 0.148

Alcohol consumptionj 1.252 (0.963–1.627) 0.093 0.699 (0.441–1.108) 0.128

Current or former smokerk 1.581 (1.244–2.009) < 0.001 1.797 (1.172–2.753) 0.007

Daily Coffee consumptionl 1.356 (0.883–2.081) 0.164

Regular exercisem 1.046 (0.732–1.494) 0.805 0.932 (0.635–1.368) 0.720

Odds ratios were calculated by using logistic regression.

OR, odds ratio; CI, confidence interval; FBG, fasting blood glucose; TC, total cholesterol; HDL-C, high density lipoprotein cholesterol; LDL-C, low density lipoprotein cholesterol; TG, triglyceride; CEA, carcinoembryonic antigen; BP, blood pressure.

a

Body mass index ≥25 kg/m2.

b

A waist circumference ≥ 90 cm for men and ≥ 80 cm for women.

c

Fasting blood glucose level of ≥ 100 mg/dL.

d

Total cholesterol ≥200 mg/dL.

e

HDL-C < 40 mg/dL for men and < 50 mg/dL for women.

F

Triglyceride ≥ 150 mg/dL.

g

CEA ≥ 3 ng/mL.

h

Systolic BP ≥ 130 mmHg.

i

Diastolic BP ≥ 85 mmHg.

j

One glass of liquor at least once a month.

k

Any amount of cigarette smoking history.

l

At least one cup of coffee a day.

m

At least once a fortnight.

DISCUSSION

In this study conducted on a large population of young adults without a first-degree family history of CRC, we found a relatively high prevalence of CRN at 19.5% in this young cohort of both diagnostic and screening settings. By examining as many factors as possible known as risk factors for CRN at a young age, it was verified again that previously reported factors including old age, male sex, obesity, and smoking were independent risk factors for CRN in young adults. Additionally, the ORs of those with obesity and smoking as two modifiable risk factors were more prominent for high-risk CRN.

Although some previous studies have reported the prevalence of CRN in young adults, so-called individuals younger than 50, only a few studies have investigated the prevalence by limiting the study to young adults under 40 years of age. In a meta-analysis of 24 studies having data of 20,933 individuals younger than 50, the pooled prevalence of CRN was 9.0% [7]. Limiting studies to those about young adults under 40 years of age, the prevalence of CRN varied from 8.6 to 12.6% [1419]. Subdivided by age group, the prevalence of CRN was 1.3% to 9.4% in the age group of 20 to 29 years and 9.5% to 13.4% in the age group of 30 to 39 years. In our study, the prevalence of CRN was 14.9% in all participants, 9.8% in those under 30 years of age, and 15.4% in those aged 30 to 39 years. Our results were somewhat higher than those reported in previous studies. The possible explanation of this might be because participants in our study were recruited together in a university hospital and an affiliated health screening center whereas other studies recruited asymptomatic subjects who were undergoing colonoscopy as a screening procedure. In addition, our study was conducted on a population who underwent colonoscopy most recently. The more recent the study, the higher the CRN prevalence [7]. The reason for such observation is that the actual CRN prevalence is increasing due to various risk factors. In addition, the detection rate of CRN is increasing due to improvement in the quality of examinations such as the introduction of high definition colonoscopies [2022].

Our results verified four risk factors (old age, male sex, obesity, and smoking) for CRN in young adults aged under 40. Although several studies have explored risk factors for CRN in young adults under 50 years of age [16,2326], studies on those under 40 years of age are very rare [16,18,19]. Age is the most well-known risk factor for CRC. Even in young adults under 40 years of age, age still appears to be a strong risk factor for CRN. In two previous studies on young adults aged under 40, age was an independent risk factor for CRN [18,19], consistent with the result of our study. However, the results of previous studies on whether sex is a risk factor for CRN are inconsistent. While male sex was an independent risk factor for CRN in two previous studies conducted on adults aged 30 to 39 years [16,19], it was not in another study on adults aged 20 to 29 years [18].

Two modifiable factors, obesity and smoking, were also revealed as risk factors for CRN of young adults in previous studies [16,19]. Interestingly, the OR of these two risk factors were greater for high-risk CRN than for overall CRN in our study. Overweight and obesity are well-known risk factors for CRC. A recent study has reported that CRC mortality in young adults is rising in the United States, Canada, United Kingdom, and Australia, but not in Europe or Asia [27]. Such difference could be explained by the highest and fastest growing rates of overweight/obesity in countries with high mortality rates [27,28]. Similar to our results, a Korean study has demonstrated that abdominal obesity and metabolic syndrome as well as obesity are independent risk factors for CRN [19].

It is currently unclear which anthropometric measure among BMI, waist circumference, and waist-hip ratio is the most important predictor of the risk of CRN. Previous studies have reported that abdominal obesity or visceral fat has a more positive association with CRN risk [2931]. However, our study revealed that abdominal obesity by waist circumference showed no significant association with CRN even in the univariate analysis. From late middle age till age of 80s, decease in the volume of subcutaneous fat and redistribution of fat from subcutaneous to visceral depots have been reported [32]. Such age-associated decrease in the size of adipose depots is accompanied by the accumulation of fat outside adipose tissues and loss of lean body mass [32]. Data from the Korea National Health Insurance Service have shown that the prevalence of abdominal obesity by waist circumference increases with age, peaking at the age of 70 years [33], although the prevalence of general obesity by BMI peaks in the later part of 30s in men [33]. This was thought to be the reason why general obesity was more associated with CRN than abdominal obesity in our study.

Smoking has been consistently identified as a risk factor in previous studies, with two studies reporting current smokers and one reporting current or former smokers as risk factors [16,18,19]. Consequently, it seems clear that obesity and smoking can contribute to the occurrence of CRN in young adults. Thus, it is important to try to prevent CRC by controlling these factors as early as possible.

This study has several limitations. First, our study had a cross-sectional study design, making it difficult to judge the causal relationship. However, accumulating experimental evidence is showing that social factors such as obesity and smoking can promote the occurrence of colon cancer [3439]. Second, participants in our study were recruited from a single center. They might not represent the general population of young adults. However, we collected and analyzed a sufficiently large number of participants of 10,000 or more. Third, because it was impossible to investigate whether the examination performed during the study period was index colonoscopy in all study subjects, some of them might have a history of CRN resection. However, the overall adenoma detection rate of our study was 14.9%, which was not less than those in previous studies [1419]. Because of their young age, it could be assumed that most subjects received their first colonoscopy. Lastly, rather than analyzing only screening endoscopy in an asymptomatic population, we included diagnostic endoscopy in symptomatic patients because some advanced CRN might be accompanied by symptoms such as hematochezia and referred for resection after being diagnosed at a primary institution.

In conclusion, the present study investigated the prevalence and risk factors of CRN in a large group of adults under 40 years of age. The prevalence of CRN was slightly higher than previously reported, reflecting the recent increase of young onset CRC. Two preventable causes of CRC, obesity and smoking, were confirmed as risk factors for CRN in young adults. Their risks were more pronounced for high-risk CRNs. To reduce the incidence of CRC in young adults, intensive efforts are needed to reduce these risk factors. Early screening with colonoscopy might be beneficial for young individuals with these risk factors.

KEY MESSAGE

1. Of 13,621 young individuals aged 18 to 40 years who underwent screening or diagnostic colonoscopy, the prevalence of colorectal neoplasia was 14.9%.

2. The independent risk factors for colorectal neoplasia in young adults were identified as old age, male sex, obesity, and smoking.

3. Two modifiable factors, obesity and smoking, increased the risk for high-risk colorectal neoplasia even more than for overall colorectal neoplasia.

Acknowledgments

This research was supported by the Bio & Medical Technology Development Program of the National Research Foundation (NRF) funded by the Ministry of Science & ICT (NRF-2018M3A9E8021507) and by grant of the Institute of Clinical Medicine Research in the Yeouido St. Mary’s hospital, Catholic University of Korea.

Footnotes

No potential conflict of interest relevant to this article was reported.

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