| Literature DB >> 22715975 |
Nelson F Sanchez1, Bryan Stierman, Said Saab, Divya Mahajan, Howa Yeung, Fritz Francois.
Abstract
BACKGROUND: Identifying modifiable factors that influence the epidemiology of colorectal cancer incidence among multiethnic groups might be informative for the development of public health strategies targeting the disease. Minimal data exists describing the impact of physical activity on colorectal polyp risk in United States minority populations. The aim of this study is to evaluate the relationship of exercise on the prevalence of polyps in a multiethnic colorectal cancer screening population.Entities:
Mesh:
Year: 2012 PMID: 22715975 PMCID: PMC3437999 DOI: 10.1186/1756-0500-5-312
Source DB: PubMed Journal: BMC Res Notes ISSN: 1756-0500
Baseline demographic characteristics of the 982 evaluated individuals according to exercise history stratification (sedentary vs. active)
| Male, n (%) | 184 (42.4) | 226 (41.2) | 0.721‡ |
| Mean age (yrs) ± SD | 58 ± 7 | 58 ± 7 | 0.932* |
| BMI (kg/m2) ± SD | 27.4 ± 5.4 | 27.1 ± 4.7 | 0.370* |
| Race/ethnicity, n (%) | |||
| White, non-Hispanic | 27 (6.2) | 42 (7.7) | 0.018‡ |
| Black, non-Hispanic | 60 (13.8) | 89 (16.2) | |
| Hispanic | 235 (54.1) | 323 (58.9) | |
| Asian | 109 (25.1) | 93 (17.0) | |
| Hypertension, n (%) | 226 (52.3) | 252 (46.1) | 0.052‡ |
| Folate supplementation, n (%) | 17 (3.9) | 18 (3.3) | 0.798‡ |
| Fiber supplementation, n (%) | 11 (2.5) | 23 (4.2) | 0.093‡ |
| Multivitamin supplementation, n(%) | 158 (36.4) | 233 (42.5) | 0.005‡ |
| Aspirin, n (%) (current daily use) | 116 (26.7) | 146 (26.6) | 0.459‡ |
| Red meat consumption, n (%) (one or more servings/week) | 357 (82.3) | 416 (75.9) | 0.741‡ |
| Current Alcohol, n (%) (Any current use) | 100 (23.0) | 138 (25.2) | 0.229‡ |
| Current Tobacco, n (%) | 53 (12.2) | 53 (9.7) | 0.352‡ |
*T-test.
‡Chi-Square Analysis.
Figure 1Colonic findings according to exercise history. Prevalence of any polyps, adenomas, and advanced adenomas among 548 patients who reported at least one hour of weekly exercise and 434 patients who reported no regular exercise. Variables analyzed with the Chi-square test.
Comparison of type and location of colonoscopy findings according to exercise history
| Any polyp | |||
| Distal, n (%) | 67 (15.4) | 60 (10.9) | 0.134 |
| Proximal, n (%) | 47 (17.2) | 43 (7.8) | 0.201 |
| Distal & proximal, n (%) | 30 (10.9) | 27 (4.9) | 0.424 |
| Adenomas | |||
| Distal, n (%) | 35 (8.1) | 25 (4.6) | 0.043 |
| Proximal, n (%) | 35 (8.1) | 35 (6.4) | 0.457 |
| Distal & proximal, n (%) | 30 (6.9) | 27 (4.9) | 0.424 |
| Advanced adenomas | |||
| Distal, n (%) | 13 (3.0) | 10 (1.8) | 0.295 |
| Proximal, n (%) | 8 (1.8) | 7 (1.3) | 0.554 |
| Distal & proximal, n (%) | 4 (0.9) | 0 | 0.029 |
Note. Categorical variables were analyzed with Chi-Square test or the Fisher exact test (for sample sizes of n < 5 responses).
Analysis of Exercise and Polyp Prevalence with Ethnicity Subsets
| Any polyp | |||
| Hispanic, n (%) | 76 (17.5) | 77 (14.1) | 0.059 |
| Black, n (%) | 23 (5.3) | 23 (4.2) | 0.165 |
| Asian, n (%) | 35 (8.1) | 22 (4.0) | 0.188 |
| White, n (%) | 4 (0.9) | 6 (1.1) | 0.772 |
| Any adenoma | |||
| Hispanic, n (%) | 48 (11.1) | 34 (6.2) | 0.002 |
| Black, n (%) | 14 (3.2) | 17 (3.1) | 0.618 |
| Asian, n (%) | 14 (3.2) | 16 (2.9) | 0.323 |
| White, n (%) | 2 (0.5) | 3 (0.5) | 0.942 |
| Advanced adenoma | |||
| Hispanic, n (%) | 13 (3.0) | 12 (2.2) | 0.295 |
| Black, n (%) | 8 (1.8) | 2 (0.4) | 0.010 |
| Asian, n (%) | 0 | 2 (0.4) | 0.116 |
| White, n (%) | 2 (0.5) | 1 (0.2) | 0.366 |
Note. Categorical variables were analyzed with Chi-Square test or the Fisher exact test (for sample sizes of n < 5 responses).
Analysis of Exercise and Polyp Prevalence with BMI and Ethnicity subsets
| Any polyp | |||
| Hispanic, n (%) | 24 (5.5) | 22 (4.0) | 0.144 |
| Black, n (%) | 6 (1.4) | 6 (1.1) | 0.434 |
| Asian, n (%) | 16 (3.7) | 11 (2.0) | 0.465 |
| White, n (%) | 2 (0.5) | 1 (0.2) | 0.476 |
| Hispanic, n (%) | 52 (12.0) | 55 (10.0) | 0.275 |
| Black, n (%) | 17 (3.9) | 17 (3.1) | 0.196 |
| Asian, n (%) | 19 (4.4) | 11 (2.0) | 0.239 |
| White, n (%) | 2 (0.5) | 5 (0.9) | 0.551 |
| Any adenoma | |||
| Hispanic, n (%) | 13 (3.0) | 14 (2.6) | 0.424 |
| Black, n (%) | 3 (0.7) | 4 (0.7) | 0.826 |
| Asian, n (%) | 8 (1.8) | 7 (1.3) | 0.988 |
| White, n (%) | 0 | 1 (0.2) | 0.329 |
| Hispanic, n (%) | 35 (8.1) | 20 (3.6) | 0.003 |
| Black, n (%) | 11 (2.5) | 13 (2.4) | 0.432 |
| Asian, n (%) | 6 (1.4) | 9 (1.6) | 0.146 |
| White, n (%) | 2 (0.5) | 2 (0.4) | 0.624 |
| Advanced adenoma | |||
| Hispanic, n (%) | 6 (1.4) | 6 (1.1) | 0.622 |
| Black, n (%) | 2 (0.5) | 1 (0.2) | 0.312 |
| Asian, n (%) | 0 | 1 (0.2) | 0.289 |
| White, n (%) | 0 | 1 (0.2) | 0.329 |
| Hispanic, n (%) | 7 (1.6) | 6 (1.1) | 0.351 |
| Black, n (%) | 6 (1.4) | 1 (0.2) | 0.021 |
| Asian, n (%) | 0 | 1 (0.2) | 0.242 |
| White, n (%) | 2 (0.5) | 0 | 0.068 |
Note. Categorical variables were analyzed with Chi-Square test or the Fisher exact test (for sample sizes of n < 5 responses).
Relative odds ratio of colonic adenomas in 982 study subjects
| Age (yr) | ||||
| 45–54, n = 359 | 1.0 [reference] | -- | [reference] | -- |
| 55–64, n = 451 | 1.7 [1.1-2.5] | 0.014 | 1.6 [1.1-2.5] | 0.026 |
| 65–74, n = 156 | 2.8 [1.7-4.6] | 0.001 | 3.1 [1.8-5.3] | 0.001 |
| 75 and older, n = 16 | 8.2 [2.9-23.0] | 0.001 | 9.2 [3.1-27.4] | 0.001 |
| Gender | ||||
| Female, n = 572 | 1.0 [reference] | -- | [reference] | -- |
| Male, n = 410 | 1.4 [0.97-1.93] | 0.069 | 1.7 [1.2-2.4] | 0.006 |
| Ethnicity | ||||
| White, n = 69 | 1.0 [reference] | -- | 1.0 [reference] | -- |
| Black, n = 149 | 2.5 [0.9-6.2] | 0.061 | 3.0 [1.1-8.3] | 0.03 |
| Hispanic, n = 558 | 3.8 [1.4-10.2] | 0.008 | 2.0 [0.7-5.3] | 0.15 |
| Asian, n = 202 | 2.4 [0.88-6.3] | 0.088 | 2.1 [0.8-5.8] | 0.15 |
| BMI | ||||
| <25, n = 351 | 1.0 [reference] | -- | 1.0 [reference] | -- |
| >25, n = 631 | 2.0 [0.3-12.3] | 0.46 | 1.1 [0.8-1.7] | 0.55 |
| Exercise | ||||
| Sedentary, n = 434 | 1.0 [reference] | -- | 1.0 [reference] | -- |
| Active, n = 548 | 0.68 [0.4-0.97] | 0.03 | 0.67 [0.4-0.9] | 0.03 |
*The values were derived from multivariable logistic regression after adjusting for all variables in the model (Age, Gender, Ethnicity, BMI, Exercise).