Endoscopic screening for Barrett's esophagus as the major precursor lesion for esophageal adenocarcinoma is mostly offered to patients with symptoms of gastroesophageal reflux disease (GERD). However, other epidemiologic risk factors might affect the development of Barrett's esophagus and esophageal adenocarcinoma. Therefore, efforts to improve the efficiency of screening to find the Barrett's esophagus population “at risk” compared with the normal population are needed. In a cross-sectional analysis, we compared 587 patients with Barrett's esophagus from the multicenter German BarrettNET registry to 1976 healthy subjects from the population-based German KORA cohort, with and without GERD symptoms. Data on demographic and lifestyle factors, including age, gender, smoking, alcohol consumption, body mass index, physical activity, and symptoms were collected in a standardized epidemiologic survey. Increased age, male gender, smoking, heavy alcohol consumption, low physical activity, low health status, and GERD symptoms were significantly associated with Barrett's esophagus. Surprisingly, among patients stratified for GERD symptoms, these associations did not change. Demographic, lifestyle, and clinical factors as well as GERD symptoms were associated with Barrett's esophagus development in Germany, suggesting that a combination of risk factors could be useful in developing individualized screening efforts for patients with Barrett's esophagus and GERD in Germany.

The incidence of esophageal adenocarcinoma is rapidly increasing in the western populations (1, 2) and Barrett's esophagus, a metaplastic transformation of the normal squamous mucosa of the distal esophagus to columnar epithelium, represents a major precursor lesion for esophageal adenocarcinoma (3). The incidence of Barrett's esophagus has also increased over the past decades, resulting in a large number of individuals “at risk” for esophageal adenocarcinoma. Frequent and severe gastroesophageal reflux disease (GERD) symptoms are thought to be a primary risk factor for the development of Barrett's esophagus (4, 5). However, Barrett's esophagus only develops in up to 10% of patients with GERD (6), and only a fraction of patients with Barrett's esophagus develop esophageal adenocarcinoma (7), raising an economic and medical question of whom to screen by endoscopy.

GERD, Barrett's esophagus, and esophageal adenocarcinoma have been associated with similar risk factors, including white race, male gender, increasing age, and obesity (8, 9), while these results remain to be confirmed in a German cohort. Nevertheless, risk factors for Barrett's esophagus are mostly neglected in clinical management of patients with GERD and Barrett's esophagus and could help to specify appropriate screening strategies. In clinical practice, screening endoscopy is often recommended for patients with therapy (proton pump inhibitor) refractory GERD or symptoms, such as dysphagia, weight loss, and anemia (10).

Current American College of Gastroenterology guidelines (11) suggest that patients with multiple risk factors associated with Barrett's esophagus and esophageal adenocarcinoma should be screened, but the combination of risk factors that should trigger intervention is not defined. Most likely, a more efficient approach would be to implement a risk-adapted screening program on patients with a calculated increased risk for Barrett's esophagus and thus esophageal adenocarcinoma based on epidemiologic, lifestyle, and clinical characteristics. A first requirement would be to identify risk factors that discriminate patients with Barrett's esophagus from the general population, the motivation for this study.

Study population

The BarrettNET registry is a multicenter clinical cohort study in southern Germany that recruits patients with Barrett's esophagus who are then prospectively followed for progression to low-grade dysplasia, high-grade dysplasia, and esophageal adenocarcinoma for 10 years (12). Barrett's esophagus was identified at endoscopy and confirmed in the histopathologic diagnosis of a board-certified pathologist as intestinal metaplasia. Patients with a diagnosis of Barrett's esophagus (not dysplasia or esophageal adenocarcinoma) between 2013 and 2017 were eligible for the study and since its start, 618 patients from 20 centers have been included. For each patient 4–6 standardized biopsy samples of the distal esophagus and stomach, blood-based samples, epidemiologic survey data, as well as stool and saliva samples have been collected and a longitudinal follow-up has been performed, as described previously (12). Patients with a history of cancer (n = 51) were excluded.

Controls for this analysis were chosen from the KORA FF4 (KORA: Cooperative Health Research in the Region of Augsburg) study, which is the second follow-up of the population-based KORA S4 cohort examined between June 2013 and September 2014. A description of the primary KORA study design has been published previously (13). From the 2,279 participants of the KORA FF4 cohort, 250 patients with a history of cancer, seven participants with a history of Barrett's esophagus plus cancer, and 26 with unknown status were eliminated. Considering that both cohorts live in the same region of Germany (Southern Bavaria) 20 individuals with a history of Barrett's esophagus from the KORA cohort were included to the Barrett's esophagus cases of the BarrettNET registry. The final study sample comprised 587 Barrett's esophagus cases from the BarrettNET registry and the KORA cohort and 1,976 controls from KORA. All participants provided informed consent.

Variables for analysis

Information on sociodemographic variables, lifestyle factors, including smoking, alcohol consumption, physical activity, health, including family history, chronic diseases, and symptoms was collected by the same structured epidemiologic questionnaire from KORA (13–15) for both cohorts. Body mass index (BMI) was calculated in kg/m2, with weight and height at the time of the KORA FF4 2013–14 survey used for the KORA controls and at first time enrollment for the BarrettNET registry case patients. GERD symptoms were defined as present for burning sensation, pain in the upper abdomen or behind the breast bone, or acid reflux, and absent otherwise. GERD symptoms were defined as frequent for 3–7 days/week and occasional for less. Alcohol consumption was categorized into heavy drinker for excess of 40 g/day and moderate drinker otherwise. Physical activity was defined as very active for regularly more than 2 hours per week, moderately active for regularly approximately 1 hour per week, little active for irregularly approximately 1 hour per week, versus not active for almost no or no physical activity. The relative state of health was self-assessed in relation to people of the same age. The status of fitness was also self-assessed.

Statistical analysis

Comparisons were made using χ2 tests for discrete questions and the Wilcoxon test otherwise. Statistical significance for all tests was determined at the two-sided 0.05 level. Statistical analyses were conducted in R (www.r-project.org).

Ethical approval

The patient studies were conducted in accordance with the Declaration of Helsinki. The ethical committee of the Technical University of Munich approved the study. Written informed consent was obtained from all patients.

Barrett's esophagus cases were statistically significantly more likely to be male (74.3%/587) in comparison to the population controls (48.0%/1,976), to be older (mean 63.4 vs. 59.3 years, respectively), to smoke (32.3% vs. 46.1% nonsmokers), to significantly consume alcohol (13.1% vs. 11.8% with alcohol consumption >40 g/day), and to be single or divorced (all P < 0.01; Table 1). Patients with Barrett's esophagus and controls showed no significant BMI difference (mean 27.6 kg/m2 in Barrett vs. 27.8 kg/m2 in controls; P = 0.259; Table 1). Patients with Barrett's esophagus were more likely to be not physically active (32.2%) compared with controls (27.5%, P = 0.011), and had higher rates of poor actual states of fitness (4.8% vs. 1.7%; P < 0.001; Table 1). Concomitant with these results, patients with Barrett's esophagus evaluated their state of health as worse than the general population control (15.2% vs. 7.5%; P < 0.001; Table 1).

Table 1.

Comparison of epidemiologic risk factors in patients with Barrett's esophagus (n = 587) and population-based controls (n = 1,976).

Barrett cohortPopulation-based control
Characteristicsn (%)n (%)P
Total 587 1,976  
Gender 
 Male 436 (74.3) 948 (48.0) <0.001 
 Female 151 (25.7) 1,028 (52.0)  
Age (years) 
 Mean (SD) 63.4 (12.5) 59.3 (12.2) <0.001 
 Range 23–93 38–88  
Smoking 
 Regular smoker 89 (15.2) 274 (13.9) <0.001 
 Irregular smoker 28 (4.8) 43 (2.2)  
 Ex-smoker 251 (42.8) 748 (37.9)  
 Nonsmoker 190 (32.3) 911 (46.1)  
 Missing 29 (4.9)   
Alcohol consumption 
 <40 g/day 386 (65.8) 1,742 (88.2) 0.006 
 >40 g/day 77 (13.1) 233 (11.8)  
 Missing 124 (21.1) 1 (0.05)  
Marital status 
 Married 386 (65.7) 1,451 (73.4) <0.001 
 Single 85 (14.5) 193 (9.8)  
 Divorced 60 (10.2) 166 (8.4)  
 Widowed 35 (6.0) 166 (8.4)  
 Missing 21 (3.6)   
BMI (kg/m2
 Mean BMI (SD) 27.6 (5.4) 27.8 (5.1) 0.259 
 Range 16.7–70.6 16.6–62.2  
 Missing 25  
Physical activity 
 Very active 146 (24.9) 514 (26) 0.011 
 Moderately active 152 (25.9) 634 (32.1)  
 Little active 67 (11.4) 284 (14.4)  
 Not active 189 (32.2) 544 (27.5)  
 Missing 33 (5.6)   
Actual state of fitness 
 Very good 56 (9.5) 251 (12.7) <0.001 
 Good 352 (60.0) 1,357 (68.7)  
 Intermediate 130 (22.1) 334 (16.9)  
 Poor 28 (4.8) 34 (1.7)  
 Missing 21 (3.6)   
Relative state of health 
 Better 177 (30.1) 903 (45.7) <0.001 
 Equal 213 (36.3) 889 (45)  
 Worse 89 (15.2) 148 (7.5)  
 Unknown 87 (14.8) 36 (1.8)  
 Missing 21 (3.6)   
GERD symptoms 
 Yes 359 (61.2) 985 (49.8) <0.001 
 No 199 (33.9) 990 (50.1)  
 Missing 29 (4.9) 1 (0.1)  
GERD frequency among those answering yes to symptoms 
 Frequently 177 (49.3) 224 (22.7) <0.001 
 Occasionally 155 (43.2) 761 (77.3)  
 Unknown 27 (7.5)   
Reasons for Barrett's esophagus diagnosis 
 Dysphagia 37 (6.3)   
 Reflux 238 (40.6)   
 Upper abdominal discomfort 67 (11.4)   
 Incidental finding 139 (23.7)   
 Other 39 (6.6)   
 Missing 67 (11.4)   
Chronic diseases 
 Diabetes 64 (10.9) 169 (8.6) 0.097 
 Hypertension 288 (49.1) 957 (48.4) 0.824 
 Hypercholesterolemia 274 (46.7) 966 (48.9) 0.372 
 Neurodermatitis 27 (4.6) 133 (6.7) 0.076 
 Asthma 52 (8.9) 165 (8.4) 0.761 
 Hay fever 92 (15.7) 374 (18.9) 0.083 
Barrett cohortPopulation-based control
Characteristicsn (%)n (%)P
Total 587 1,976  
Gender 
 Male 436 (74.3) 948 (48.0) <0.001 
 Female 151 (25.7) 1,028 (52.0)  
Age (years) 
 Mean (SD) 63.4 (12.5) 59.3 (12.2) <0.001 
 Range 23–93 38–88  
Smoking 
 Regular smoker 89 (15.2) 274 (13.9) <0.001 
 Irregular smoker 28 (4.8) 43 (2.2)  
 Ex-smoker 251 (42.8) 748 (37.9)  
 Nonsmoker 190 (32.3) 911 (46.1)  
 Missing 29 (4.9)   
Alcohol consumption 
 <40 g/day 386 (65.8) 1,742 (88.2) 0.006 
 >40 g/day 77 (13.1) 233 (11.8)  
 Missing 124 (21.1) 1 (0.05)  
Marital status 
 Married 386 (65.7) 1,451 (73.4) <0.001 
 Single 85 (14.5) 193 (9.8)  
 Divorced 60 (10.2) 166 (8.4)  
 Widowed 35 (6.0) 166 (8.4)  
 Missing 21 (3.6)   
BMI (kg/m2
 Mean BMI (SD) 27.6 (5.4) 27.8 (5.1) 0.259 
 Range 16.7–70.6 16.6–62.2  
 Missing 25  
Physical activity 
 Very active 146 (24.9) 514 (26) 0.011 
 Moderately active 152 (25.9) 634 (32.1)  
 Little active 67 (11.4) 284 (14.4)  
 Not active 189 (32.2) 544 (27.5)  
 Missing 33 (5.6)   
Actual state of fitness 
 Very good 56 (9.5) 251 (12.7) <0.001 
 Good 352 (60.0) 1,357 (68.7)  
 Intermediate 130 (22.1) 334 (16.9)  
 Poor 28 (4.8) 34 (1.7)  
 Missing 21 (3.6)   
Relative state of health 
 Better 177 (30.1) 903 (45.7) <0.001 
 Equal 213 (36.3) 889 (45)  
 Worse 89 (15.2) 148 (7.5)  
 Unknown 87 (14.8) 36 (1.8)  
 Missing 21 (3.6)   
GERD symptoms 
 Yes 359 (61.2) 985 (49.8) <0.001 
 No 199 (33.9) 990 (50.1)  
 Missing 29 (4.9) 1 (0.1)  
GERD frequency among those answering yes to symptoms 
 Frequently 177 (49.3) 224 (22.7) <0.001 
 Occasionally 155 (43.2) 761 (77.3)  
 Unknown 27 (7.5)   
Reasons for Barrett's esophagus diagnosis 
 Dysphagia 37 (6.3)   
 Reflux 238 (40.6)   
 Upper abdominal discomfort 67 (11.4)   
 Incidental finding 139 (23.7)   
 Other 39 (6.6)   
 Missing 67 (11.4)   
Chronic diseases 
 Diabetes 64 (10.9) 169 (8.6) 0.097 
 Hypertension 288 (49.1) 957 (48.4) 0.824 
 Hypercholesterolemia 274 (46.7) 966 (48.9) 0.372 
 Neurodermatitis 27 (4.6) 133 (6.7) 0.076 
 Asthma 52 (8.9) 165 (8.4) 0.761 
 Hay fever 92 (15.7) 374 (18.9) 0.083 

Note: P values are from Wilcoxon and χ2 tests.

Among the 1,976 KORA control participants, 843 (42.7%) received an upper endoscopy, with a significant majority of 545 (64.7%) due to GERD symptoms. Reasons for endoscopy and subsequent Barrett's esophagus diagnosis in the BarrettNET cohort were mostly GERD-associated symptoms such as reflux (40.6%), upper abdominal discomfort (11.4%), and dysphagia (6.3%). However, 23.7% of patients with Barrett's esophagus were diagnosed with an incidental finding without any reporting of symptoms.

Compared with the KORA population control, patients with Barrett's esophagus reported significantly more GERD symptoms (61.2% vs. 49.8%), and among those that did report symptoms, stated more often to have them frequently (49.3% vs. 22.7%; Table 1; both P < 0.001). Chronic diseases, including diabetes, hypertension, and hypercholesterinemia, were not associated with Barrett's esophagus (all P > 0.05; Table 1).

In a gender-stratified analysis, male patients with Barrett's esophagus (n = 436) were significantly older, had significantly more GERD symptoms, and were more likely to smoke compared with the male population–based controls (n = 948; Table 2). Moreover, they showed a significantly higher rates of poor fitness and lower rates of good state of health (Table 2). Female patients with Barrett's esophagus (n = 151) were significantly older and had significantly more GERD symptoms, but did not show a significant difference in smoking compared with the female population–based controls (n = 1,028; Table 3). Barrett's esophagus females also showed significantly higher rates of poor fitness and lower rates of good state of health than female controls (Table 3). To prevent a bias effect between gender, age, and further lifestyle risk factors through a significant difference in gender and age between Barrett's esophagus cases and controls, we performed a gender–age-matched analysis. In a gender–age-matched analysis we could confirm our previous results with significantly more smokers, individuals with single or divorced status, more GERD symptoms, a poor state of fitness, and a poor state of health among patients with Barrett's esophagus (n = 587) compared with controls (n = 587; Supplementary Table S1).

Table 2.

Comparison of epidemiologic risk factors in male patients with Barrett's esophagus (n = 436) and male population–based controls (n = 948).

Barrett cohortPopulation-based control
Characteristicsn (%)n (%)P
Total 436 948  
Age (years) 
 Mean (SD) 63.1 (12.3) 60 (12.3) <0.001 
 Range 23–93 38–87  
GERD symptoms 
 Yes 260 (59.6) 474 (50) 0.004 
 No 157 (36) 473 (49.9)  
 Missing 19 (4.4) 1 (0.1)  
GERD frequency among those answering yes to symptoms 
 Frequently 123 (47.3) 89 (18.8) 0.004 
 Occasionally 122 (46.9) 385 (81.2)  
 Missing 15 (5.8)   
Reasons for Barrett's esophagus diagnosis 
 Dysphagia 24 (5.5)   
 Reflux 186 (42.7)   
 Upper abdominal discomfort 47 (10.8)   
 Incidental finding 106 (24.3)   
 Other 28 (6.4)   
 Missing 45 (10.3)   
Smoking 
 Regular smoker 70 (16.1) 148 (15.6) <0.001 
 Irregular smoker 20 (4.6) 18 (1.9)  
 Ex-Smoker 205 (47) 419 (44.2)  
 Nonsmoker 123 (28.2) 363 (38.3)  
 Missing 18 (4.1)   
Alcohol consumption 
 <40 g/day 270 (61.9) 756 (79.7) 0.613 
 >40 g/day 75 (17.2) 192 (20.3)  
 Missing 91 (20.9)   
BMI (kg/m2
 Mean BMI (SD) 27.8 (4.8) 27.3 (4.6) 0.028 
 Range 18.5–70.0 16.8–62.2  
 Missing 17  
Marital status 
 Married 304 (69.7) 745 (78.6) 0.005 
 Single 66 (15.2) 94 (9.9)  
 Divorced 41 (9.4) 72 (7.6)  
 Widowed 11 (2.5) 37 (3.9)  
 Missing 14 (3.2)   
Physical activity 
 Very active 113 (25.9) 260 (27.4) 0.243 
 Moderately active 108 (24.8) 271 (28.6)  
 Little active 51 (11.7) 135 (14.2)  
 Not active 146 (33.5) 282 (29.8)  
 Missing 18 (4.1)   
Actual state of fitness 
 Very good 43 (9.9) 119 (12.5) 0.002 
 Good 285 (65.4) 687 (72.5)  
 Intermediate 81 (18.6) 128 (13.5)  
 Poor 15 (3.4) 14 (1.5)  
 Missing 12 (2.7)   
Relative state of health 
 Better 145 (33.2) 495 (52.2) <0.001 
 Equal 66 (15.1) 59 (6.2)  
 Worse 152 (34.9) 376 (39.7)  
 Unknown 60 (13.8) 18 (1.9)  
 Missing 13 (3)   
Chronic diseases 
 Diabetes 46 (10.6) 94 (9.9) 0.789 
 Hypertension 212 (48.6) 484 (51.1) 0.434 
 Hypercholesterolemia 204 (46.8) 479 (50.5) 0.217 
 Neurodermatitis 15 (3.4) 49 (5.2) 0.199 
 Asthma 33 (7.6) 68 (7.2) 0.879 
 Hay fever 67 (15.4) 169 (17.8) 0.292 
Barrett cohortPopulation-based control
Characteristicsn (%)n (%)P
Total 436 948  
Age (years) 
 Mean (SD) 63.1 (12.3) 60 (12.3) <0.001 
 Range 23–93 38–87  
GERD symptoms 
 Yes 260 (59.6) 474 (50) 0.004 
 No 157 (36) 473 (49.9)  
 Missing 19 (4.4) 1 (0.1)  
GERD frequency among those answering yes to symptoms 
 Frequently 123 (47.3) 89 (18.8) 0.004 
 Occasionally 122 (46.9) 385 (81.2)  
 Missing 15 (5.8)   
Reasons for Barrett's esophagus diagnosis 
 Dysphagia 24 (5.5)   
 Reflux 186 (42.7)   
 Upper abdominal discomfort 47 (10.8)   
 Incidental finding 106 (24.3)   
 Other 28 (6.4)   
 Missing 45 (10.3)   
Smoking 
 Regular smoker 70 (16.1) 148 (15.6) <0.001 
 Irregular smoker 20 (4.6) 18 (1.9)  
 Ex-Smoker 205 (47) 419 (44.2)  
 Nonsmoker 123 (28.2) 363 (38.3)  
 Missing 18 (4.1)   
Alcohol consumption 
 <40 g/day 270 (61.9) 756 (79.7) 0.613 
 >40 g/day 75 (17.2) 192 (20.3)  
 Missing 91 (20.9)   
BMI (kg/m2
 Mean BMI (SD) 27.8 (4.8) 27.3 (4.6) 0.028 
 Range 18.5–70.0 16.8–62.2  
 Missing 17  
Marital status 
 Married 304 (69.7) 745 (78.6) 0.005 
 Single 66 (15.2) 94 (9.9)  
 Divorced 41 (9.4) 72 (7.6)  
 Widowed 11 (2.5) 37 (3.9)  
 Missing 14 (3.2)   
Physical activity 
 Very active 113 (25.9) 260 (27.4) 0.243 
 Moderately active 108 (24.8) 271 (28.6)  
 Little active 51 (11.7) 135 (14.2)  
 Not active 146 (33.5) 282 (29.8)  
 Missing 18 (4.1)   
Actual state of fitness 
 Very good 43 (9.9) 119 (12.5) 0.002 
 Good 285 (65.4) 687 (72.5)  
 Intermediate 81 (18.6) 128 (13.5)  
 Poor 15 (3.4) 14 (1.5)  
 Missing 12 (2.7)   
Relative state of health 
 Better 145 (33.2) 495 (52.2) <0.001 
 Equal 66 (15.1) 59 (6.2)  
 Worse 152 (34.9) 376 (39.7)  
 Unknown 60 (13.8) 18 (1.9)  
 Missing 13 (3)   
Chronic diseases 
 Diabetes 46 (10.6) 94 (9.9) 0.789 
 Hypertension 212 (48.6) 484 (51.1) 0.434 
 Hypercholesterolemia 204 (46.8) 479 (50.5) 0.217 
 Neurodermatitis 15 (3.4) 49 (5.2) 0.199 
 Asthma 33 (7.6) 68 (7.2) 0.879 
 Hay fever 67 (15.4) 169 (17.8) 0.292 

Note: P values are from Wilcoxon and χ2 tests.

Table 3.

Comparison of epidemiologic risk factors in female patients with Barrett's esophagus (n = 151) and female population–based controls (n = 1,028).

Barrett cohortPopulation-based control
Characteristicsn (%)n (%)P
Total 151 1,028  
Age (years) 
 Mean (SD) 64.4 (12.9) 59.0 (12.0) <0.001 
 Range 27–93 38–88  
GERD symptoms 
 Yes 99 (65.6) 511 (49.7) <0.001 
 No 42 (27.8) 517 (50.3)  
 Missing 10 (6.6)   
GERD frequency among those answering yes to symptoms 
 Frequently 54 (54.6) 135 (26.4) <0.001 
 Occasionally 33 (33.3) 376 (73.6)  
 Missing 12 (12.1)   
Reasons for Barrett's esophagus diagnosis 
 Dysphagia 13 (8.6)   
 Reflux 52 (34.4)   
 Upper abdominal discomfort 20 (13.2)   
 Incidental finding 33 (21.9)   
 Other 11 (7.3)   
 Missing 22 (14.6)   
Smoking 
 Regular smoker 19 (12.6) 126 (12.3) 0.133 
 Irregular smoker 8 (5.3) 25 (2.4)  
 Ex-smoker 46 (30.4) 329 (32)  
 Nonsmoker 67 (44.4) 548 (53.3)  
 Missing 11 (7.3)   
Alcohol consumption 
 <40 g/day 112 (74.2) 986 (95.9) 0.748 
 >40 g/day 6 (4.0) 41 (4)  
 Missing 33 (21.8) 1 (0.1)  
BMI (kg/m2
 Mean BMI (SD) 26.9 (6.6) 27.4 (5.5) 0.103 
 Range 16.7–70.6 16.6–48.8  
 Missing   
Marital status 
 Married 82 (54.3) 706 (68.7) 0.047 
 Single 19 (12.6) 99 (9.6)  
 Divorced 19 (12.6) 94 (9.1)  
 Widowed 24 (15.9) 129 (12.6)  
 Missing 7 (4.6)   
Physical activity 
 Very active 33 (21.9) 254 (24.7) 0.446 
 Moderately active 44 (29.1) 363 (35.3)  
 Little active 16 (10.6) 149 (14.5)  
 Not active 43 (28.5) 262 (25.5)  
 Missing 15 (9.9)   
Actual state of fitness 
 Very good 9 (6.0) 132 (12.8) <0.001 
 Good 75 (49.7) 670 (65.2)  
 Intermediate 53 (35.1) 206 (20)  
 Poor 5 (3.3) 20 (2)  
 Missing 9 (5.9)   
Relative state of health 
 Better 32 (21.2) 408 (39.7) <0.001 
 Equal 31 (20.5) 89 (8.6)  
 Worse 53 (35.1) 513 (49.9)  
 Unknown 27 (17.9) 18 (1.8)  
 Missing 8 (5.3)   
Chronic diseases 
 Diabetes 18 (11.9) 71 (6.9) 0.044 
 Hypertension 76 (50.3) 473 (46) 0.365 
 Hypercholesterolemia 70 (46.4) 487 (47.4) 0.884 
 Neurodermatitis 12 (7.9) 84 (8.2) 
 Asthma 19 (12.6) 97 (9.4) 0.286 
 Hay fever 25 (16.6) 205 (19.9) 0.384 
Barrett cohortPopulation-based control
Characteristicsn (%)n (%)P
Total 151 1,028  
Age (years) 
 Mean (SD) 64.4 (12.9) 59.0 (12.0) <0.001 
 Range 27–93 38–88  
GERD symptoms 
 Yes 99 (65.6) 511 (49.7) <0.001 
 No 42 (27.8) 517 (50.3)  
 Missing 10 (6.6)   
GERD frequency among those answering yes to symptoms 
 Frequently 54 (54.6) 135 (26.4) <0.001 
 Occasionally 33 (33.3) 376 (73.6)  
 Missing 12 (12.1)   
Reasons for Barrett's esophagus diagnosis 
 Dysphagia 13 (8.6)   
 Reflux 52 (34.4)   
 Upper abdominal discomfort 20 (13.2)   
 Incidental finding 33 (21.9)   
 Other 11 (7.3)   
 Missing 22 (14.6)   
Smoking 
 Regular smoker 19 (12.6) 126 (12.3) 0.133 
 Irregular smoker 8 (5.3) 25 (2.4)  
 Ex-smoker 46 (30.4) 329 (32)  
 Nonsmoker 67 (44.4) 548 (53.3)  
 Missing 11 (7.3)   
Alcohol consumption 
 <40 g/day 112 (74.2) 986 (95.9) 0.748 
 >40 g/day 6 (4.0) 41 (4)  
 Missing 33 (21.8) 1 (0.1)  
BMI (kg/m2
 Mean BMI (SD) 26.9 (6.6) 27.4 (5.5) 0.103 
 Range 16.7–70.6 16.6–48.8  
 Missing   
Marital status 
 Married 82 (54.3) 706 (68.7) 0.047 
 Single 19 (12.6) 99 (9.6)  
 Divorced 19 (12.6) 94 (9.1)  
 Widowed 24 (15.9) 129 (12.6)  
 Missing 7 (4.6)   
Physical activity 
 Very active 33 (21.9) 254 (24.7) 0.446 
 Moderately active 44 (29.1) 363 (35.3)  
 Little active 16 (10.6) 149 (14.5)  
 Not active 43 (28.5) 262 (25.5)  
 Missing 15 (9.9)   
Actual state of fitness 
 Very good 9 (6.0) 132 (12.8) <0.001 
 Good 75 (49.7) 670 (65.2)  
 Intermediate 53 (35.1) 206 (20)  
 Poor 5 (3.3) 20 (2)  
 Missing 9 (5.9)   
Relative state of health 
 Better 32 (21.2) 408 (39.7) <0.001 
 Equal 31 (20.5) 89 (8.6)  
 Worse 53 (35.1) 513 (49.9)  
 Unknown 27 (17.9) 18 (1.8)  
 Missing 8 (5.3)   
Chronic diseases 
 Diabetes 18 (11.9) 71 (6.9) 0.044 
 Hypertension 76 (50.3) 473 (46) 0.365 
 Hypercholesterolemia 70 (46.4) 487 (47.4) 0.884 
 Neurodermatitis 12 (7.9) 84 (8.2) 
 Asthma 19 (12.6) 97 (9.4) 0.286 
 Hay fever 25 (16.6) 205 (19.9) 0.384 

Note: P values are from Wilcoxon and χ2 tests.

As GERD is still considered to be the primary decision factor for initiating endoscopic screening and a main risk factor for Barrett's esophagus and esophageal adenocarcinoma development, we next compared patients with Barrett's esophagus with GERD to population controls with GERD (Table 4). In the KORA cohort, 545 people reported reflux, had upper endoscopy, and no diagnosis of Barrett's esophagus and were therefore considered as a GERD control group. These were compared in a subanalysis to 359 patients with Barrett's esophagus which reported GERD symptoms.

Table 4.

Comparison of epidemiologic risk factors in patients with Barrett's esophagus with GERD (n = 359) and population-based controls with GERD (n = 545).

Barrett with GERDPopulation-based control with GERD
Characteristicsn (%)n (%)P
Total 359 545  
Gender 
 Male 260 (72.4) 241 (44.2) <0.001 
 Female 99 (27.6) 304 (55.8)  
Age (years) 
 Mean (SD) 61.7 (12.7) 63.3 (11.6) 0.345 
 Range 22–93 38–86  
Smoking 
 Regular smoker 68 (19.0) 65 (11.9) <0.001 
 Irregular smoker 18 (5.0) 9 (1.7)  
 Ex-smoker 153 (42.6) 228 (41.8)  
 Nonsmoker 115 (32.0) 243 (44.6)  
 Missing 5 (1.4)   
Alcohol consumption 
 <40 g/day 245 (68.2) 493 (90.5) 0.007 
 >40 g/day 47 (13.1) 52 (9.5)  
 Missing 67 (18.7)   
BMI (kg/m2
 Mean BMI (SD) 27.5 (5.4) 28.6 (5.0) <0.001 
 Range 17.8–70.6 17.9–48.8  
 Missing  
Physical activity 
 Very active 96 (26.7) 125 (22.9) 0.002 
 Moderately active 87 (24.2) 184 (33.8)  
 Little active 43 (12.0) 89 (16.3)  
 Not active 126 (35.1) 147 (27.0)  
 Missing 7 (2.0)   
Actual state of fitness 
 Very good 24 (6.7) 31 (5.7) 0.165 
 Good 211 (58.8) 350 (64.2)  
 Intermediate 102 (28.4) 150 (27.5)  
 Poor 18 (5.0) 14 (2.6)  
 Missing 4 (1.1)   
Relative state of health 
 Better 93 (25.9) 237 (43.5) <0.001 
 Equal 83 (23.1) 240 (44.0)  
 Worse 118 (32.9) 60 (11.0)  
 Unknown 62 (17.3) 8 (1.5)  
 Missing 3 (0.8)   
GERD frequency 
 Frequently 177 (49.3) 170 (31.2) <0.001 
 Occasionally 155 (43.2) 375 (68.8)  
 Missing 27 (7.5)   
Barrett with GERDPopulation-based control with GERD
Characteristicsn (%)n (%)P
Total 359 545  
Gender 
 Male 260 (72.4) 241 (44.2) <0.001 
 Female 99 (27.6) 304 (55.8)  
Age (years) 
 Mean (SD) 61.7 (12.7) 63.3 (11.6) 0.345 
 Range 22–93 38–86  
Smoking 
 Regular smoker 68 (19.0) 65 (11.9) <0.001 
 Irregular smoker 18 (5.0) 9 (1.7)  
 Ex-smoker 153 (42.6) 228 (41.8)  
 Nonsmoker 115 (32.0) 243 (44.6)  
 Missing 5 (1.4)   
Alcohol consumption 
 <40 g/day 245 (68.2) 493 (90.5) 0.007 
 >40 g/day 47 (13.1) 52 (9.5)  
 Missing 67 (18.7)   
BMI (kg/m2
 Mean BMI (SD) 27.5 (5.4) 28.6 (5.0) <0.001 
 Range 17.8–70.6 17.9–48.8  
 Missing  
Physical activity 
 Very active 96 (26.7) 125 (22.9) 0.002 
 Moderately active 87 (24.2) 184 (33.8)  
 Little active 43 (12.0) 89 (16.3)  
 Not active 126 (35.1) 147 (27.0)  
 Missing 7 (2.0)   
Actual state of fitness 
 Very good 24 (6.7) 31 (5.7) 0.165 
 Good 211 (58.8) 350 (64.2)  
 Intermediate 102 (28.4) 150 (27.5)  
 Poor 18 (5.0) 14 (2.6)  
 Missing 4 (1.1)   
Relative state of health 
 Better 93 (25.9) 237 (43.5) <0.001 
 Equal 83 (23.1) 240 (44.0)  
 Worse 118 (32.9) 60 (11.0)  
 Unknown 62 (17.3) 8 (1.5)  
 Missing 3 (0.8)   
GERD frequency 
 Frequently 177 (49.3) 170 (31.2) <0.001 
 Occasionally 155 (43.2) 375 (68.8)  
 Missing 27 (7.5)   

Note: P values are from Wilcoxon and χ2 tests.

In contrast to the previous comparison, patients with Barrett's esophagus with GERD were not significantly older than population controls with GERD symptoms, while as previously, a higher proportion was male (Table 4). GERD sufferers with Barrett's esophagus had more frequent symptoms than those without Barrett's esophagus, were more likely to be active smokers, and also drink heavily (Table 4). Patients with Barrett's esophagus with GERD showed a slightly lower BMI than controls with GERD (Table 4). Patients with Barrett's esophagus with GERD were more likely not physically active and had lower relative health than controls with GERD (Table 4).

There has been considerable interest in identifying populations at risk for esophageal adenocarcinoma, as for the past 4 decades its incidence has continuously risen, with the annual incidence increasing 8-fold (16). The increase in incidence has occurred despite the development of antiacid treatment and endoscopic screening. As Barrett's esophagus is assumed to be a precursor lesion in the development of esophageal adenocarcinoma, screening to identify subjects with Barrett's esophagus may be one effective strategy to prevent progression to cancer. Nevertheless, controversy persists concerning endoscopic screening and surveillance, as no study has validated a decrease in morbidity and mortality from esophageal adenocarcinoma due to Barrett's esophagus screening. This may be because more than 80% of patients with Barrett's esophagus remain undiagnosed (17). It is all the more necessary to identify patients at risk for Barrett's esophagus to prevent unnecessary overdiagnosis of healthy patients on the one hand and to detect patients with Barrett's esophagus on the other hand, at a stage where the disease can easily be treated with chemoprevention or ablation therapy.

In search for demographic, lifestyle, and clinical risk factors for Barrett's esophagus in Germany, we performed a cross-sectional analysis in a multicenter study sample consisting of 587 patients with Barrett's esophagus and 1,976 population controls. Overall, 50% of the general population reported GERD symptoms and Barrett's esophagus was present in 2.6%. The reported prevalence is consistent with the Barrett's esophagus prevalence of 1.6% in the general Swedish population (18).

We analyzed demographic, lifestyle, and health factors, along with GERD symptoms for association with Barrett's esophagus. Consistent with the literature, we confirmed known demographic risk factors for Barrett's esophagus, including older age and male gender, in a German population (19–21). Moreover, we observed a significantly higher percentage of likely male singles among patients with Barrett's esophagus, which might point to family status–dependent lifestyle conditions as a confounding factor for the development of Barrett's esophagus. In a gender–age-matched analysis, the identified lifestyle risk factors for Barrett's esophagus did not significantly change the results of the comparison of patients with Barrett's esophagus and the controls in this study, indicating that lifestyle factors are increasing Barrett's esophagus risk independently from epidemiologic risk factors.

GERD symptoms are likely associated with the development of esophageal adenocarcinoma (9, 22, 23), and up to date, remain the most common indication for upper endoscopy for further triage screening for Barrett's esophagus and esophageal adenocarcinoma (24). Consistent with these findings, we observed that GERD symptoms were more likely in patients with Barrett's esophagus than in the population controls. However more than 90% of esophageal adenocarcinoma present de novo (17, 25), suggesting that the strong emphasis on screening patients with GERD might be an insufficient strategy. Moreover, population-based studies indicate that only 40% of Barrett's esophagus report GERD symptoms (18) and about 40% of esophageal adenocarcinoma occur in people without chronic symptoms of GERD (23), pointing out the necessity of combining different risk factors to optimize screening strategies. In our study, a considerable percentage (33.9%) of Barrett's esophagus cases had no GERD and in 23.7% of the patients, Barrett's esophagus was an incidental finding during upper endoscopy for other reasons. In addition, a subanalysis of the cohorts revealed that stratification for GERD symptoms did not change the association of risk factors for Barrett's esophagus nor altered its significance. The identified risk factors: gender, age, existence and frequency of GERD, smoking, alcohol consumption, physical activity, and state of health need to be confirmed in a novel prospective study, screening healthy patients equitably for Barrett's esophagus onset, to create a risk score for screening strategies (26).

Our data are consistent with prior studies, which showed that any history of smoking was significantly associated with Barrett's esophagus (27–29). Similar patterns of association have been observed between smoking and esophageal adenocarcinoma and Barrett's esophagus progression to esophageal adenocarcinoma (26, 29, 30). A high BMI has long been recognized as a risk factor for GERD, Barrett's esophagus, and esophageal adenocarcinoma (31–33). However, our study showed no association between a higher BMI and the diagnosis of Barrett's esophagus, in correlation with our recent findings from the mouse model that Western diet is not only inducing obesity but also changing the gut microbiota and induces an accelerated inflammatory condition in the esophagus (34). Recently, the waist to hip ratio has been found to be more strongly associated with the risks of Barrett's esophagus and esophageal adenocarcinoma than BMI (35). However, waist and hip measurements were not assessed in this study. Results from studies analyzing the association between alcohol consumption and the risk of Barrett's esophagus have been inconsistent, with some studies reporting a positive association with moderate to heavy alcohol consumption (18, 36, 37) and others reporting no association (38, 39). In this study, we observed an increased risk for Barrett's esophagus among heavy drinkers, although there was no consistent dose–response relationship as moderate drinkers were less frequent among Barrett's esophagus subjects than in the population control.

Earlier epidemiologic studies suggest a protective effect of moderate levels of physical activity on the risk of GERD (40, 41) and esophageal adenocarcinoma (42, 43). Up to date there is insufficient evidence to elucidate the association between physical activity and Barrett's esophagus (44). Our data indicate an association between a low level of physical activity and the development of Barrett's esophagus. Evidence from large long-term prospective cohort studies is needed to further verify this association. Patients with Barrett's esophagus not only have an increased risk for esophageal adenocarcinoma but also a reduced quality of life (45). In concordance with these data we observed a reduced state of fitness and of relative state of health among patients with Barrett's esophagus compared with the general population control.

Strengths of this study include its large sample size of both Barrett's esophagus cases and population controls, which evaluated multiple demographic, lifestyle, heath, and clinical risk factors with validated questionnaires. The histologic diagnosis of Barrett's esophagus was confirmed by board-certified gastrointestinal pathologists. The KORA cohort is based on the general population of southern Germany, increasing the generalizability of results.

Limitations of this study are that it is a retrospective case–control study with Barrett's esophagus cases drawn from a separate clinical referral center and controls from a general screening cohort not specific to Barrett's esophagus. Therefore, cases and controls have been subject to different ascertainment and are subject to selection bias. Only 43% of the KORA cohort underwent upper endoscopy, compared with 100% in the Barrett's esophagus cohort. Hence, results from this retrospective study require prospective validation. Patients with Barrett's esophagus enrolled in the BarrettNet registry receive a regular follow-up including a reassessment of the epidemiologic survey data and biopsy sampling of the distal esophagus and stomach. In the future, we will perform a prospective analysis of genetic factors and our identified risk factors with the endpoint esophageal adenocarcinoma development in our Barrett's esophagus cohort (12). A multivariate risk score including lifestyle, epidemiologic, and genetic factors for Barrett's esophagus development and progression to esophageal adenocarcinoma might lead to a more targeted screening and surveillance strategy in patients with Barrett's esophagus.

In conclusion, this is the first study to analyze demographic, lifestyle, and clinical factors in a large German population identifying significant associations between age, male gender, high income, nicotine, heavy alcohol consumption, GERD symptoms, reduced physical activity, low fitness level, poor health status, and the development of Barrett's esophagus.

In cardiovascular disease (46) and more recently in other cancer entities such as breast and colorectal cancer (47–49) demographic, lifestyle, and clinical factors have been integrated into screening selection. For esophageal adenocarcinoma prevention there is need for evidence-based strategies, including effective means of risk stratification for endoscopic Barrett's esophagus screening among patients with GERD. Given the high prevalence of GERD symptoms in the general population and low prevalence of Barrett's esophagus in these patients, targeted screening for early detection and treatment on the one hand and cost-effective approaches on the other are warranted. Integration of identified risk factors into clinical assessment could help identify more high-risk patients for cancer prevention and avoid overtreatment for low-risk patients.

None, these are third party funding for the study.

Conception and design: M. Schmidt, D.P. Ankerst, A.S. Quante, M. Quante

Development of methodology: D.P. Ankerst, J. Slotta-Huspenina, M. Quante

Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): M. Wiethaler, J. Slotta-Huspenina, K.-F. Becker, J. Horstmann, B. Linkohr

Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): D.P. Ankerst, Y. Chen, M. Quante

Writing, review, and/or revision of the manuscript: M. Schmidt, D.P. Ankerst, J. Slotta-Huspenina, K.-F. Becker, F. Kohlmayer, A. Lehmann, K. Strauch, R.M. Schmid, A.S. Quante, M. Quante

Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): M. Schmidt, M. Wiethaler, J. Slotta-Huspenina, J. Horstmann, F. Kohlmayer, A. Lehmann, B. Linkohr, K. Strauch, M. Quante

Study supervision: M. Schmidt, D.P. Ankerst, R.M. Schmid, M. Quante

M. Quante was funded by (i) German Cancer Aid Society (Deutsche Krebshilfe); and (ii) German ministry for education and research (BMBF).

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

1.
Siegel
RL
,
Miller
KD
,
Jemal
A
. 
Cancer statistics, 2016
.
CA Cancer J Clin
2016
;
66
:
7
30
.
2.
Cook
MB
,
Chow
W-H
,
Devesa
SS
. 
Oesophageal cancer incidence in the United States by race, sex, and histologic type, 1977–2005
.
Br J Cancer
2009
;
101
:
855
9
.
3.
Reid
BJ
,
Li
X
,
Galipeau
PC
,
Vaughan
TL
. 
Barrett's oesophagus and oesophageal adenocarcinoma: time for a new synthesis
.
Nat Rev Cancer
2010
;
10
:
87
101
.
4.
Rubenstein
JH
,
Thrift
AP
. 
Risk factors and populations at risk: selection of patients for screening for Barrett's oesophagus
.
Best Pract Res Clin Gastroenterol
2015
;
29
:
41
50
.
5.
Thrift
AP
,
Kramer
JR
,
Qureshi
Z
,
Richardson
PA
,
El-Serag
HB
. 
Age at onset of GERD symptoms predicts risk of Barrett's esophagus
.
Am J Gastroenterol
2013
;
108
:
915
22
.
6.
Stoltey
J
,
Reeba
H
,
Ullah
N
,
Sabhaie
P
,
Gerson
L
. 
Does Barrett's oesophagus develop over time in patients with chronic gastro-oesophageal reflux disease?
Aliment Pharmacol Ther
2007
;
25
:
83
91
.
7.
Hvid-Jensen
F
,
Pedersen
L
,
Drewes
AM
,
Sørensen
HT
,
Funch-Jensen
P
. 
Incidence of adenocarcinoma among patients with Barrett's esophagus
.
N Engl J Med
2011
;
365
:
1375
83
.
8.
Smyth
EC
,
Lagergren
J
,
Fitzgerald
RC
,
Lordick
F
,
Shah
MA
,
Lagergren
P
, et al
Oesophageal cancer
.
Nat Rev Dis Primers
2017
;
3
:
17048
.
9.
Rubenstein
JH
,
Morgenstern
H
,
Appelman
H
,
Scheiman
J
,
Schoenfeld
P
,
McMahon
LF
, et al
Prediction of Barrett's esophagus among men
.
Am J Gastroenterol
2013
;
108
:
353
62
.
10.
Koop
H
,
Fuchs
KH
,
Labenz
J
,
Lynen Jansen
P
,
Messmann
H
,
Miehlke
S
, et al
S2k-Leitlinie: Gastroösophageale Refluxkrankkheit
.
Z Gastroenterol
2014
;
52
:
1299
346
.
11.
Shaheen
NJ
,
Falk
GW
,
Iyer
PG
,
Gerson
LB
,
American College of Gastroenterology
. 
ACG clinical guideline: diagnosis and management of Barrett's esophagus
.
Am J Gastroenterol
2016
;
111
:
30
50
.
12.
Wiethaler
M
,
Slotta-Huspenina
J
,
Brandtner
A
,
Horstmann
J
,
Wein
F
,
Baumeister
T
, et al
BarrettNET—a prospective registry for risk estimation of patients with Barrett's esophagus to progress to adenocarcinoma
.
Dis Esophagus
2019
;
32
:
pii
:
doz024
.
13.
Holle
R
,
Happich
M
,
Löwel
H
,
Wichmann
HE
,
MONICA/KORA Study Group
. 
KORA–a research platform for population based health research
.
Gesundheitswesen
2005
;
67
:
S19
25
.
14.
Hense
HW
,
Filipiak
B
,
Döring
A
,
Stieber
J
,
Liese
A
,
Keil
U
. 
Ten-year trends of cardiovascular risk factors in the MONICA Augsburg Region in Southern Germany. Results from the 1984/85, 1989/90 and 1994/1995 surveys
.
CVD Prevention
1998
;
1
:
318
27
.
15.
Meisinger
C
,
Löwel
H
,
Thorand
B
,
Döring
A
. 
Leisure time physical activity and the risk of type 2 diabetes in men and women from the general population. The MONICA/KORA Augsburg Cohort Study
.
Diabetologia
2005
;
48
:
27
34
.
16.
NCI, DCCPS, Surveillance, Epidemiology, and End Results (SEER) Program
. 
SEER*Stat database: incidence—SEER 9 Regs Research Data, (with SEER Delay Factors) Nov 2013 Sub (1973–2011)
. 
2014
Available from
: http://seer.cancer.gov/data/seerstat/nov2013/
17.
O'Donovan
M
,
Fitzgerald
RC
. 
Screening for Barrett's esophagus: are new high-volume methods feasible?
Dig Dis Sci
2018
;
63
:
2105
14
.
18.
Ronkainen
J
,
Aro
P
,
Storskrubb
T
,
Johansson
S-E
,
Lind
T
,
Bolling-Sternevald
E
, et al
Prevalence of Barrett's esophagus in the general population: an endoscopic study
.
Gastroenterology
2005
;
129
:
1825
31
.
19.
Cook
MB
,
Wild
CP
,
Forman
D
. 
A systematic review and meta-analysis of the sex ratio for Barrett's esophagus, erosive reflux disease, and nonerosive reflux disease
.
Am J Epidemiol
2005
;
162
:
1050
61
.
20.
Ireland
CJ
,
Fielder
AL
,
Thompson
SK
,
Laws
TA
,
Watson
DI
,
Esterman
A
. 
Development of a risk prediction model for Barrett's esophagus in an Australian population
.
Dis Esophagus
2017
;
30
:
1
8
.
21.
Edelstein
ZR
,
Bronner
MP
,
Rosen
SN
,
Vaughan
TL
. 
Risk factors for Barrett's esophagus among patients with gastroesophageal reflux disease: a community clinic-based case-control study
.
Am J Gastroenterol
2009
;
104
:
834
42
.
22.
Thrift
AP
,
Garcia
JM
,
El-Serag
HB
. 
A multibiomarker risk score helps predict risk for Barrett's esophagus
.
Clin Gastroenterol Hepatol
2014
;
12
:
1267
71
.
23.
Lagergren
J
,
Bergström
R
,
Lindgren
A
,
Nyrén
O
. 
Symptomatic gastroesophageal reflux as a risk factor for esophageal adenocarcinoma
.
N Engl J Med
1999
;
340
:
825
31
.
24.
Peery
AF
,
Dellon
ES
,
Lund
J
,
Crockett
SD
,
McGowan
CE
,
Bulsiewicz
WJ
, et al
Burden of gastrointestinal disease in the United States: 2012 update
.
Gastroenterology
2012
;
143
:
1179
87
.
25.
Bhat
SK
,
McManus
DT
,
Coleman
HG
,
Johnston
BT
,
Cardwell
CR
,
McMenamin
U
, et al
Oesophageal adenocarcinoma and prior diagnosis of Barrett's oesophagus: a population-based study
.
Gut
2015
;
64
:
20
5
.
26.
Parasa
S
,
Vennalaganti
S
,
Gaddam
S
,
Vennalaganti
P
,
Young
P
,
Gupta
N
, et al
Development and validation of a model to determine risk of progression of Barrett's esophagus to neoplasia
.
Gastroenterology
2018
;
154
:
1282
2
.
27.
Smith
KJ
,
O'Brien
SM
,
Smithers
BM
,
Gotley
DC
,
Webb
PM
,
Green
AC
, et al
Interactions among smoking, obesity, and symptoms of acid reflux in Barrett's esophagus
.
Cancer Epidemiol Biomarkers Prev
2005
;
14
:
2481
6
.
28.
Andrici
J
,
Cox
MR
,
Eslick
GD
. 
Cigarette smoking and the risk of Barrett's esophagus: a systematic review and meta-analysis
.
J Gastroenterol Hepatol
2013
;
28
:
1258
73
.
29.
Dong
J
,
Buas
MF
,
Gharahkhani
P
,
Kendall
BJ
,
Onstad
L
,
Zhao
S
, et al
Determining risk of Barrett's esophagus and esophageal adenocarcinoma based on epidemiologic factors and genetic variants
.
Gastroenterology
2018
;
154
:
1273
3
.
30.
Freedman
ND
,
Abnet
CC
,
Leitzmann
MF
,
Mouw
T
,
Subar
AF
,
Hollenbeck
AR
, et al
A prospective study of tobacco, alcohol, and the risk of esophageal and gastric cancer subtypes
.
Am J Epidemiol
2007
;
165
:
1424
33
.
31.
Hampel
H
,
Abraham
NS
,
El-Serag
HB
. 
Meta-analysis: obesity and the risk for gastroesophageal reflux disease and its complications
.
Ann Intern Med
2005
;
143
:
199
211
.
32.
Cook
MB
,
Greenwood
DC
,
Hardie
LJ
,
Wild
CP
,
Forman
D
. 
A systematic review and meta-analysis of the risk of increasing adiposity on Barrett's esophagus
.
Am J Gastroenterol
2008
;
103
:
292
300
.
33.
Smith
M
,
Zhou
M
,
Whitlock
G
,
Yang
G
,
Offer
A
,
Hui
G
, et al
Esophageal cancer and body mass index: results from a prospective study of 220,000 men in China and a meta-analysis of published studies
.
Int J Cancer
2008
;
122
:
1604
10
.
34.
Münch
NS
,
Fang
H-Y
,
Ingermann
J
,
Maurer
HC
,
Anand
A
,
Kellner
V
, et al
High-fat diet accelerates carcinogenesis in a mouse model of Barrett's esophagus via interleukin 8 and alterations to the gut microbiome
.
Gastroenterology
2019
;
157
:
492
2
.
35.
Baik
D
,
Sheng
J
,
Schlaffer
K
,
Friedenberg
FK
,
Smith
MS
,
Ehrlich
AC
. 
Abdominal diameter index is a stronger predictor of prevalent Barrett's esophagus than BMI or waist-to-hip ratio
.
Dis Esophagus
2017
;
30
:
1
6
.
36.
Conio
M
,
Filiberti
R
,
Blanchi
S
,
Ferraris
R
,
Marchi
S
,
Ravelli
P
, et al
Risk factors for Barrett's esophagus: a case-control study
.
Int J Cancer
2002
;
97
:
225
9
.
37.
Veugelers
PJ
,
Porter
GA
,
Guernsey
DL
,
Casson
AG
. 
Obesity and lifestyle risk factors for gastroesophageal reflux disease, Barrett esophagus and esophageal adenocarcinoma
.
Dis Esophagus
2006
;
19
:
321
8
.
38.
Anderson
LA
,
Cantwell
MM
,
Watson
RGP
,
Johnston
BT
,
Murphy
SJ
,
Ferguson
HR
, et al
The association between alcohol and reflux esophagitis, Barrett's esophagus, and esophageal adenocarcinoma
.
Gastroenterology
2009
;
136
:
799
805
.
39.
Thrift
AP
,
Cook
MB
,
Vaughan
TL
,
Anderson
LA
,
Murray
LJ
,
Whiteman
DC
, et al
Alcohol and the risk of Barrett's esophagus: a pooled analysis from the International BOACON Consortium
.
Am J Gastroenterol
2014
;
109
:
1586
94
.
40.
Nocon
M
,
Labenz
J
,
Willich
SN
. 
Lifestyle factors and symptoms of gastro-oesophageal reflux – a population-based study
.
Aliment Pharmacol Ther
2006
;
23
:
169
74
.
41.
Nilsson
M
,
Johnsen
R
,
Ye
W
,
Hveem
K
,
Lagergren
J
. 
Lifestyle related risk factors in the aetiology of gastro-oesophageal reflux
.
Gut
2004
;
53
:
1730
5
.
42.
Vigen
C
,
Bernstein
L
,
Wu
AH
. 
Occupational physical activity and risk of adenocarcinomas of the esophagus and stomach
.
Int J Cancer
2006
;
118
:
1004
9
.
43.
Huerta
JM
,
Navarro
C
,
Chirlaque
M-D
,
Tormo
M-J
,
Steindorf
K
,
Buckland
G
, et al
Prospective study of physical activity and risk of primary adenocarcinomas of the oesophagus and stomach in the EPIC (European Prospective Investigation into Cancer and nutrition) cohort
.
Cancer Causes Control
2010
;
21
:
657
69
.
44.
Lam
S
,
Hart
AR
. 
Does physical activity protect against the development of gastroesophageal reflux disease, Barrett's esophagus, and esophageal adenocarcinoma? A review of the literature with a meta-analysis
.
Dis Esophagus
2017
;
30
:
1
10
.
45.
Chang
C-Y
,
Lee
LJ-H
,
Wang
J-D
,
Lee
C-T
,
Tai
C-M
,
Tang
T-Q
, et al
Health-related quality of life in patients with Barrett's esophagus
.
Health Qual Life Outcomes
2016
;
14
:
158
.
46.
Grundy
SM
,
Balady
GJ
,
Criqui
MH
,
Fletcher
G
,
Greenland
P
,
Hiratzka
LF
, et al
Primary prevention of coronary heart disease: guidance from Framingham: a statement for healthcare professionals from the AHA Task Force on Risk Reduction. American Heart Association
.
Circulation
1998
;
97
:
1876
87
.
47.
Barlow
WE
,
White
E
,
Ballard-Barbash
R
,
Vacek
PM
,
Titus-Ernstoff
L
,
Carney
PA
, et al
Prospective breast cancer risk prediction model for women undergoing screening mammography
.
J Natl Cancer Inst
2006
;
98
:
1204
14
.
48.
Bach
PB
,
Kattan
MW
,
Thornquist
MD
,
Kris
MG
,
Tate
RC
,
Barnett
MJ
, et al
Variations in lung cancer risk among smokers
.
J Natl Cancer Inst
2003
;
95
:
470
8
.
49.
Wu
X
,
Lin
J
,
Grossman
HB
,
Huang
M
,
Gu
J
,
Etzel
CJ
, et al
Projecting individualized probabilities of developing bladder cancer in white individuals
.
J Clin Oncol
2007
;
25
:
4974
81
.