| Literature DB >> 26565695 |
Marilena Monica Vece1,2, Claudia Agnoli2, Sara Grioni2, Sabina Sieri2, Valeria Pala2, Nicoletta Pellegrini3, Graziella Frasca4, Rosario Tumino4, Amalia Mattiello5, Salvatore Panico5, Benedetta Bendinelli6, Giovanna Masala6, Fulvio Ricceri7,8, Carlotta Sacerdote8, Vittorio Krogh2.
Abstract
BACKGROUND: Colorectal cancer is the third most common cancer worldwide. Diet has been hypothesized as involved in colorectal cancer etiology, but few studies on the influence of total dietary antioxidant intake on colorectal cancer risk have been performed.Entities:
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Year: 2015 PMID: 26565695 PMCID: PMC4643904 DOI: 10.1371/journal.pone.0142995
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Baseline characteristics of study participants by tertile of dietary TAC intake.
| Characteristic | TAC 1st tertile (≤5.26 mmol/day) | TAC 2nd tertile (5.27–7.22 mmol/day) | TAC 3rd tertile (≥7.23 mmol/day) |
|---|---|---|---|
| Mean age (SD) years | 51.4 (8.2) | 50.4 (7.8) | 49.8 (7.6) |
| BMI (SD) kg/m2 | 25.8 (4.3) | 25.9 (4.1) | 26.2 (3.8) |
| Non-alcohol energy, (SD) kcal/day | 1956.2 (547.8) | 2274.5 (575.0) | 2730.2 (702.4) |
| Height (SD) cm | 160.5 (8.2) | 162.0 (8.5) | 165.3 (9.0) |
| Physical activity (%) | |||
| | 40.1 | 34.5 | 25.4 |
| | 34.0 | 34.2 | 31.8 |
| | 24.0 | 29.7 | 46.3 |
| Centre (%) | |||
| | 28.9 | 30.3 | 40.8 |
| | 34.6 | 34.1 | 31.3 |
| | 33.3 | 32.7 | 34.0 |
| | 37.8 | 37.5 | 24.7 |
| | 34.3 | 34.7 | 31.0 |
| Gender (%) | |||
| | 20.6 | 29.2 | 50.2 |
| | 39.2 | 35.2 | 25.6 |
| Smoking status (%) | |||
| | 23.7 | 33.0 | 43.3 |
| | 28.3 | 33.1 | 38.6 |
| | 41.8 | 33.8 | 24.4 |
| Education | 31.8 | 34.1 | 34.1 |
HRs for developing colorectal, colon and rectal cancer by increasing tertiles of dietary TAC.
| TAC 1st tertile | TAC 2nd tertile | TAC 3rd tertile | P trend | |
|---|---|---|---|---|
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| ≤5.26 | 5.27–7.22 | ≥7.23 | |
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| Cases: | 134 | 154 | 146 | |
| Person-years: | 168,997 | 169,956 | 170,659 | |
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| 1 | 1.20 (0.95–1.52) | 1.07 (0.84–1.37) | 0.649 |
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| 1 | 1.19 (0.94–1.50) | 1.05(0.82–1.35) | 0.774 |
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| 1 | 1.12 (0.88–1.43) | 0.88 (0.65–1.19) | 0.353 |
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| Cases | 114 | 115 | 96 | |
| Person-years | 168,878 | 169,700 | 170,321 | |
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| 1 | 1.07 (0.82–1.39) | 0.85 (0.64–1.12) | 0.236 |
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| 1 | 1.06 (0.81–1.37) | 0.84(0.63–1.12) | 0.228 |
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| 1 | 0.96 (0.73–1.26) |
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| Cases: | 20 | 39 | 50 | |
| Person-years: | 168,215 | 169,138 | 170,055 | |
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1 mmol Trolox equivalents/day.
2 Adjusted for age and sex; stratified for center.
3 Additionally adjusted for BMI, height, smoking status, education and total physical activity; stratified for center.
4 Additionally adjusted for intakes of alcohol, non-alcohol energy intake, red meat, processed meat, calcium and dietary fiber; stratified for center.
5P trends were calculated from the Cox model treating each category as a continuous variable.
HRs for developing colorectal cancer, colon and rectal cancer by increasing tertiles of vitamin C, ß-carotene and vitamin E intake.
| Antiox. intake (tertiles) | Daily intake | Colorectal cancer | Colon cancer | Rectal cancer | |||
|---|---|---|---|---|---|---|---|
| Cases/ person-year | HR | Cases/ person-year | HR | Cases/ person-year | HR | ||
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| 83.20 | 158/168,601 | 1 | 125/168,417 | 1 | 33/167,781 | 1 |
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| 131.39 | 159/170,192 | 1.06 (0.85–1.35) | 114/169,862 | 0.97 (0.74–1.26) | 45/169,429 | 1.46(0.91–2.35) |
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| 200.96 | 117/170,819 | 0.83(0.61–1.11) | 86/170,619. | 0.75 (0.54–1.06) | 31/170,199 | 1.10 (0.60–2.01) |
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| 0.190 | 0.098 | 0.837 | ||||
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| 1822 | 149/167,558 | 1 | 107/167,287 | 1 | 42/166,888 | 1 |
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| 2944 | 159/169,974 | 1.15(0.91–1.45) | 130/169,783 |
| 29/169,058 | 0.70 (0.43–1.16) |
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| 4776 | 126/ 172,080 | 0.91(0.69–1.20) | 88/171,827 | 0.90 (0.65–1.25) | 38/171,462 | 0.92 (0.54–1.57) |
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| 0.372 | 0.306 | 0.980 | ||||
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| 5.82 | 159/168,344 | 1 | 129/168,179 | 1 | 30/167,528 | 1 |
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| 8.04 | 154/170,110 | 1.04 (0.82–1.33) | 108/169,777 | 0.89 (0.67–1.18) | 46/169,346 |
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| 10.96 | 121/171,158 | 0.83(0.60–1.18) | 88/170,942 | 0.72 (0.49–1.06) | 33/170,534 | 1.36 (0.69–2.68) |
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| 0.284 | 0.089 | 0.431 | ||||
1P trend based on Cox model treating each category as a continuous variable.
2 Values are medians.
3 Adjusted for age, sex, BMI, height, smoking status, education, intakes of alcohol, total physical activity, fiber, non alcohol energy intake, red meat, processed meat, calcium and dietary fiber; stratified for center.