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Risken för kolorektal cancer i förhållande till kostmönster, fysisk aktivitet och BMI i sydöstra Sverige: Analys av data från en fall-kontrollstudie
Linköping University, Department of Computer and Information Science, Statistics. Linköping University, Faculty of Arts and Sciences.
Linköping University, Department of Computer and Information Science, Statistics. Linköping University, Faculty of Arts and Sciences.
2011 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
The risk of colorectal cancer in relation to dietary patterns, physical activity and BMI in southeastern Sweden (English)
Abstract [sv]

Bakgrund: Tidigare studier har identifierat flera riskfaktorer, såsom kost, fysisk aktivitet och BMI, gällande kolorektal cancer. Att analysera kost utifrån kostmönster istället för enskilda livsmedel har visat sig vara effektivt för att undersöka risker för kolorektal cancer. Datamaterial samlades in med hjälp av en fall-kontroll studie med 257 fall och 805 kontroller.

Syfte: Identifiera faktorer som ger en höjd eller sänkt risk för kolorektal cancer utifrån områdena kost, fysisk aktivitet och BMI.

Metod: Faktoranalys användes för att upptäcka kostmönster. Logistisk regression användes för att skatta oddskvoter och 95 % konfidensintervall.

Resultat: Tio stycken kostmönster erhölls från faktoranalysen. Kostmönstren ”Läsk, juice och mjölkprodukter” (OR=1,288; ORQ4=2,159), ”Te, men inte kaffe”(OR=1,228; ORQ3=1,891; ORQ4=1,668) och ”Fågel, rött kött och fisk”( ORQ4=1,724) gav alla en ökad risk. Däremot visade kostmönstret ”Mat från säd och ost”( ORQ2=0,546; ORQ4=0,592) en minskad risk. BMI för tio år sedan (OR=1,079; ORÖvervikt=1,491; ORFetma=2,260) identifierades som en riskfaktor. Att arbeta inom stillasittande (OR=0,975; OR>15 år=0,517) och mellanaktiva (OR=0,977; OR6-10 år=0,497;OR>15 år=0,565) yrken visade på en minskad risk.

Slutsats: Flera kostmönster visade sig vara riskfaktorer, detta gäller även BMI för tio år sedan. Kostmönstret ”Mat från säd och ost” och att arbeta i fysiskt lätta till medeltunga yrken visade sig vara skyddande faktorer.

Abstract [en]

Background: Previous studies have shown several risk factors for developing colorectal cancer such as diet, physical activity and BMI. The method of analyzing diets based on dietary patterns, rather than individual food items, have been shown to be effective when investigating the colorectal cancer risk. The data was collected using a case-control study of 257 cases and 805 controls.

Aim: Identify factors that cause increased or decreased risk in developing colorectal cancer based on diet, physical activity and BMI.

Methods: Factor analysis was conducted to identify dietary patterns. Logistic regression was used to estimate odds ratio and 95 % confidence interval.

Results: Factor analysis conducted ten dietary patterns, three of these patterns showed an increased risk “Soft drinks, juice and milk products” (OR=1,288; ORQ4=2,159), “Tea, but not coffee” (OR=1,228; ORQ3=1,891; ORQ4=1,668) and “Poultry, red meats and fish” (ORQ4=1,724).The dietary pattern “Food based on grain and cheese” (ORQ2=0,546; ORQ4=0,592) showed a decreased risk. BMI ten years ago (OR=1,079; OROverweight=1,491; ORObese=2,260) identified as a risk factor. To work in sedentary (OR=0,975; OR>15 years=0,517) or physically medium heavy (OR=0,977; OR6-10 years=0,497; OR>15 years=0,565) occupations indicated a decreased risk.

Conclusions: Several dietary patterns has been identified as risk factors, this also includes BMI ten years ago. The dietary pattern “Food based on grain and cheese” and to work in sedentary or physically medium heavy occupations proved to be protective factors.

Place, publisher, year, edition, pages
2011. , 62 p.
Keyword [en]
Colorectal cancer, diet, physical activity, BMI, Markov Chain Monte Carlo, imputation, factor analysis, logistic regression, odds ratio, epidemiology
Keyword [sv]
Kolorektal cancer, kostmönster, fysisk aktivitet, BMI, Markov Chain Monte Carlo, imputering, faktoranalys, logistisk regression, oddskvoter, epidemiologi
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:liu:diva-75875ISRN: LIU-IDA/STAT-G--11/005—SEOAI: oai:DiVA.org:liu-75875DiVA: diva2:509836
Subject / course
Program in Statistics and Data Analysis
Uppsok
Social and Behavioural Science, Law
Supervisors
Examiners
Available from: 2012-03-14 Created: 2012-03-14 Last updated: 2012-03-16Bibliographically approved

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