- Cohort Study on the Association between Alcohol Consumption and the Risk of Colorectal Cancer in the Korean Elderly.
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Hoi Jeong Lim, Byung Joo Park
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J Prev Med Public Health. 2008;41(1):23-29.
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DOI: https://doi.org/10.3961/jpmph.2008.41.1.23
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 Abstract
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- OBJECTIVES
We examined the association between alcohol consumption and incidence of colorectal cancer in elderly Koreans. METHODS: The cohort members (n=14,304) consisted of 4,834 males and 9,470 females derived from the Korea Elderly Pharmacoepidemiologic Cohort (KEPEC), a population-based dynamic cohort. They were aged 65 years old or older and lived in Busan between 1993-1998; they were beneficiaries of the Korean Medical Insurance Corporation (KMIC). Baseline information was surveyed by a self-administered, mailed questionnaire. This study population was restricted to 14,304 participants who reported alcohol drinking habits on the questionnaire and had not been diagnosed with colorectal cancer at baseline. The adjusted hazard ratios (aHR) of status, type, frequency and daily average amount of alcohol consumption were computed with Cox's proportional hazard model, with the never-drinkers as a reference group and controlling for age and gender. RESULTS: After 4.82 person-years of mean follow-up 112 cases of colorectal cancer occurred. The incidence densities of colorectal cancer were 161 (95% CI=123-200) for never-drinkers, 219 (95% CI=125-339) for ex-drinkers, and 137 (95% CI=84-189) for current-drinkers per 100,000 person-year. The status, type, frequency, and daily average amount of alcohol consumption were not significantly related to the incidence of colorectal cancer after controlling for age and gender. CONCLSIONS: There was no significant association between alcohol consumption and colorectal cancer among elderly people after controlling for age and gender.
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Citations
Citations to this article as recorded by  - Sex difference in alcohol consumption associated with colorectal cancer risk in Quzhou, China: A nested case-control study
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European Journal of Cancer Prevention.2019; 28(3): 151. CrossRef - Marital status and education as risk factors for colorectal cancer
A. Ruseva, D. Tochev, Z. Boneva, Y. Assyov, L. Georgieva, D. Nikolovska
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Cancer Causes & Control.2015; 26(4): 549. CrossRef - Alcohol Drinking, Cigarette Smoking and Risk of Colorectal Cancer in the Korean Multi-center Cancer Cohort
Sooyoung Cho, Aesun Shin, Sue K. Park, Hai-Rim Shin, Soung-Hoon Chang, Keun-Young Yoo
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Ji-Eun Park, Tae-young Choi, Yeonhee Ryu, Sung-Il Cho
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Sohee Park, Hai-Rim Shin, Boram Lee, Aesun Shin, Kyu-Won Jung, Duk-Hee Lee, Sun Ha Jee, Sung-Il Cho, Sue Kyung Park, Mathieu Boniol, Paolo Boffetta, Elisabete Weiderpass
BMC Cancer.2014;[Epub] CrossRef - Alcohol drinking and colorectal cancer risk: an overall and dose–response meta-analysis of published studies
V. Fedirko, I. Tramacere, V. Bagnardi, M. Rota, L. Scotti, F. Islami, E. Negri, K. Straif, I. Romieu, C. La Vecchia, P. Boffetta, M. Jenab
Annals of Oncology.2011; 22(9): 1958. CrossRef - Alcohol intake and risk of colorectal cancer: Results from the UK Dietary Cohort Consortium
J Y Park, C C Dahm, R H Keogh, P N Mitrou, B J Cairns, D C Greenwood, E A Spencer, I S Fentiman, M J Shipley, E J Brunner, J E Cade, V J Burley, G D Mishra, D Kuh, A M Stephen, I R White, R N Luben, A A Mulligan, K-T Khaw, S A Rodwell
British Journal of Cancer.2010; 103(5): 747. CrossRef - Alcohol Consumption and Digestive Cancer Mortality in Koreans: The Kangwha Cohort Study
Sang-Wook Yi, Jae Woong Sull, John Alderman Linton, Chung Mo Nam, Heechoul Ohrr
Journal of Epidemiology.2010; 20(3): 204. CrossRef - Baseline alcohol consumption, type of alcoholic beverage and risk of colorectal cancer in the European Prospective Investigation into Cancer and Nutrition-Norfolk study
Jin Young Park, Panagiota N. Mitrou, Christina C. Dahm, Robert N. Luben, Nicholas J. Wareham, Kay-Tee Khaw, Sheila A. Rodwell
Cancer Epidemiology.2009; 33(5): 347. CrossRef - A Novel Polymorphism rs1329149 of CYP2E1 and a Known Polymorphism rs671 of ALDH2 of Alcohol Metabolizing Enzymes Are Associated with Colorectal Cancer in a Southwestern Chinese Population
Huan Yang, Yanhong Zhou, Ziyuan Zhou, Jinyi Liu, Xiaoyan Yuan, Ketaro Matsuo, Toshiro Takezaki, Kazuo Tajima, Jia Cao
Cancer Epidemiology, Biomarkers & Prevention.2009; 18(9): 2522. CrossRef
- Analysis of Repeated Measured VAS in a Clinical Trial for Evaluating a New NSAID with GEE Method.
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Hoi Jeong Lim, Yooni Kim, Young Bok Jung, Sang Cheol Seong, Jin Hwan Ahn, Kwon Jae Roh, Jung Man Kim, Byung Joo Park
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J Prev Med Public Health. 2004;37(4):381-389. Published online November 30, 2014
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Abstract
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- OBJECTIVE
: To compare the efficacy between SKI306X and Diclofenac by using generalized estimating equations (GEE) methodology in the analysis of correlated bivariate binary outcome data in Osteoarthritis (OA) diseases. METHODS: A randomized, double-blind, active comparator controlled, non-inferiority clinical trial was conducted at 5 institutions in Korea with the random assignment of 248 patients aged 35 to 75 years old with OA of the knee and clinical evidence of OA. Patients were enrolled in this study if they had at least moderate pain in the affected knee joint and a score larger than 35mm as assessed by VAS (Visual Analog Scale). The main exposure variable was treatment (SKI 306X vs. Diclofenac) and other covariates were age, sex, BMI, baseline VAS, center, operation history (Yes/No), NSAIDS (Y/N), acupuncture (Y/N), herbal medicine (Y/N), past history of musculoskeletal disease (Y/N), and previous therapy related with OA (Y/N). The main study outcome was the change of VAS pain scores from baseline to the 2nd and 4th weeks after treatment. Pain scores were obtained as baseline, 2nd and 4th weeks after treatment. We applied GEE approach with empirical covariance matrix and independent (or exchangeable) working correlation matrix to evaluate the relation of several risk factors to the change of VAS pain scores with correlated binary bivariate outcomes. RESULTS: While baseline VAS, age, and acupuncture variables had protective effects for reducing the OA pain, its treatment (Joins/Diclofenac) was not statistically significant through GEE methodology (ITT: aOR=1.37, 95% CI= (0.8200, 2.26), PP: aOR=1.47, 95% CI= (0.73, 2.95) ). The goodness-off it statistic for GEE (6.55, p=0.68) was computed to assess the adequacy of the fitted final model. CONCLUSIONS: Both ANCOVA and GEE methods yielded non statistical significance in the evaluation of non-inferiority of the efficacy between SKI306X and Diclofenac. While VAS outcome for each visit was applied in GEE, only VAS outcome for the fourth visit was applied in ANCOVA. So the GEE methodology is more accurate for the analysis of correlated outcomes.
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