Skip to main content
Erschienen in: Cancer Causes & Control 12/2014

01.12.2014 | Original paper

Smoking, alcohol, diabetes, obesity, socioeconomic status, and the risk of colorectal cancer in a population-based case–control study

verfasst von: Terry Boyle, Lin Fritschi, Seyed Mehdi Tabatabaei, Kathrin Ringwald, Jane S. Heyworth

Erschienen in: Cancer Causes & Control | Ausgabe 12/2014

Einloggen, um Zugang zu erhalten

Abstract

Purpose

Although previous research has identified factors that may determine willingness to participate in research, relatively few studies have attempted to quantify the impact non-participation may have on exposure–disease associations. The aims of this study were to (a) investigate the associations between smoking, alcohol, diabetes, obesity, and socioeconomic status and the risk of colorectal cancer in a case–control study (59.7 and 47.2 % response fractions among cases and controls, respectively); and (b) perform sensitivity analyses to examine the possible influence of non-participation.

Methods

Logistic regression was used to estimate the exposure–disease associations. We then investigated the associations between various demographic and health factors and the likelihood that an individual would participate in the case–control study and then performed two sensitivity analyses (sampling weights and multiple imputation) to examine whether non-participation bias may have influenced the exposure–disease associations.

Results

The exposures alcohol, smoking, and diabetes were associated with an increased risk of colorectal cancer. We found some differences between cases and controls when examining the factors associated with the participation in the study, and in the sensitivity analyses, the exposure–disease associations were slightly attenuated when compared with those from the original analysis.

Conclusion

Non-participation may have biased the risk estimates away from the null, but generally not enough to change the conclusions of the study.
Anhänge
Nur mit Berechtigung zugänglich
Literatur
1.
Zurück zum Zitat Galea S, Tracy M (2007) Participation rates in epidemiologic studies. Ann Epidemiol 17:643–653PubMedCrossRef Galea S, Tracy M (2007) Participation rates in epidemiologic studies. Ann Epidemiol 17:643–653PubMedCrossRef
3.
Zurück zum Zitat Morton LM, Cahill J, Hartge P (2006) Reporting participation in epidemiologic studies: a survey of practice. Am J Epidemiol 163:197–203PubMedCrossRef Morton LM, Cahill J, Hartge P (2006) Reporting participation in epidemiologic studies: a survey of practice. Am J Epidemiol 163:197–203PubMedCrossRef
4.
Zurück zum Zitat Keeble C, Barber S, Law GR, Baxter PD (2013) Participation bias assessment in three high-impact journals. SAGE Open 3:1–5CrossRef Keeble C, Barber S, Law GR, Baxter PD (2013) Participation bias assessment in three high-impact journals. SAGE Open 3:1–5CrossRef
5.
Zurück zum Zitat Pandeya N, Williams GM, Green AC, Webb PM, Whiteman DC (2009) Do low control response rates always affect the findings? Assessments of smoking and obesity in two Australian case–control studies of cancer. Aust N Z J Public Health 33:312–319PubMedCrossRef Pandeya N, Williams GM, Green AC, Webb PM, Whiteman DC (2009) Do low control response rates always affect the findings? Assessments of smoking and obesity in two Australian case–control studies of cancer. Aust N Z J Public Health 33:312–319PubMedCrossRef
6.
Zurück zum Zitat Larsson SC, Orsini N, Wolk A (2005) Diabetes mellitus and risk of colorectal cancer: a meta-analysis. J Natl Cancer Inst 97:1679–1687PubMedCrossRef Larsson SC, Orsini N, Wolk A (2005) Diabetes mellitus and risk of colorectal cancer: a meta-analysis. J Natl Cancer Inst 97:1679–1687PubMedCrossRef
7.
Zurück zum Zitat World Cancer Research Fund/American Institute for Cancer Research (2007) Food, nutrition, physical activity, and the prevention of cancer: a global perspective. AICR, Washington World Cancer Research Fund/American Institute for Cancer Research (2007) Food, nutrition, physical activity, and the prevention of cancer: a global perspective. AICR, Washington
8.
Zurück zum Zitat Cho E, Smith-Warner SA, Ritz J et al (2004) Alcohol intake and colorectal cancer: a pooled analysis of 8 cohort studies. Ann Intern Med 140:603–613PubMedCrossRef Cho E, Smith-Warner SA, Ritz J et al (2004) Alcohol intake and colorectal cancer: a pooled analysis of 8 cohort studies. Ann Intern Med 140:603–613PubMedCrossRef
9.
Zurück zum Zitat Huxley RR, Ansary-Moghaddam A, Clifton P, Czernichow S, Parr CL, Woodward M (2009) The impact of dietary and lifestyle risk factors on risk of colorectal cancer: a quantitative overview of the epidemiological evidence. Int J Cancer 125:171–180PubMedCrossRef Huxley RR, Ansary-Moghaddam A, Clifton P, Czernichow S, Parr CL, Woodward M (2009) The impact of dietary and lifestyle risk factors on risk of colorectal cancer: a quantitative overview of the epidemiological evidence. Int J Cancer 125:171–180PubMedCrossRef
10.
Zurück zum Zitat Moskal A, Norat T, Ferrari P, Riboli E (2006) Alcohol intake and colorectal cancer risk: a dose-response meta-analysis of published cohort studies. Int J Cancer 120:664–671CrossRef Moskal A, Norat T, Ferrari P, Riboli E (2006) Alcohol intake and colorectal cancer risk: a dose-response meta-analysis of published cohort studies. Int J Cancer 120:664–671CrossRef
11.
Zurück zum Zitat Botteri E, Iodice S, Bagnardi V, Raimondi S, Lowenfels AB, Maisonneuve P (2008) Smoking and colorectal cancer: a meta-analysis. JAMA 300:2765–2778PubMedCrossRef Botteri E, Iodice S, Bagnardi V, Raimondi S, Lowenfels AB, Maisonneuve P (2008) Smoking and colorectal cancer: a meta-analysis. JAMA 300:2765–2778PubMedCrossRef
12.
Zurück zum Zitat Liang PS, Chen TY, Giovannucci E (2009) Cigarette smoking and colorectal cancer incidence and mortality: systematic review and meta-analysis. Int J Cancer 124:2406–2415PubMedCrossRef Liang PS, Chen TY, Giovannucci E (2009) Cigarette smoking and colorectal cancer incidence and mortality: systematic review and meta-analysis. Int J Cancer 124:2406–2415PubMedCrossRef
13.
Zurück zum Zitat Aarts MJ, Lemmens VEPP, Louwman MWJ, Kunst AE, Coebergh JWW (2010) Socioeconomic status and changing inequalities in colorectal cancer? A review of the associations with risk, treatment and outcome. Eur J Cancer 46:2681–2695PubMedCrossRef Aarts MJ, Lemmens VEPP, Louwman MWJ, Kunst AE, Coebergh JWW (2010) Socioeconomic status and changing inequalities in colorectal cancer? A review of the associations with risk, treatment and outcome. Eur J Cancer 46:2681–2695PubMedCrossRef
14.
Zurück zum Zitat Boyle T, Heyworth J, Bull F, McKerracher S, Platell C, Fritschi L (2011) Timing and intensity of recreational physical activity and the risk of subsite-specific colorectal cancer. Cancer Causes Control 22:1647–1658PubMedCrossRef Boyle T, Heyworth J, Bull F, McKerracher S, Platell C, Fritschi L (2011) Timing and intensity of recreational physical activity and the risk of subsite-specific colorectal cancer. Cancer Causes Control 22:1647–1658PubMedCrossRef
15.
Zurück zum Zitat Clapin HF, Fritschi L, Iacopetta B, Heyworth JS (2012) Dietary and supplemental folate and the risk of left- and right-sided colorectal cancer. Nutr Cancer 64:937–945PubMedCrossRef Clapin HF, Fritschi L, Iacopetta B, Heyworth JS (2012) Dietary and supplemental folate and the risk of left- and right-sided colorectal cancer. Nutr Cancer 64:937–945PubMedCrossRef
16.
Zurück zum Zitat Hodge A, Patterson AJ, Brown WJ, Ireland P, Giles G (2000) The Anti Cancer Council of Victoria FFQ: relative validity of nutrient intakes compared with weighed food records in young to middle-aged women in a study of iron supplementation. Aust N Z J Public Health 24:576–583PubMedCrossRef Hodge A, Patterson AJ, Brown WJ, Ireland P, Giles G (2000) The Anti Cancer Council of Victoria FFQ: relative validity of nutrient intakes compared with weighed food records in young to middle-aged women in a study of iron supplementation. Aust N Z J Public Health 24:576–583PubMedCrossRef
17.
Zurück zum Zitat Holman CDAJ, Bass AJ, Rouse IL, Hobbs MST (1999) Population-based linkage of health records in Western Australia: development of a health services research linked database. Aust N Z J Public Health 23:453–459PubMedCrossRef Holman CDAJ, Bass AJ, Rouse IL, Hobbs MST (1999) Population-based linkage of health records in Western Australia: development of a health services research linked database. Aust N Z J Public Health 23:453–459PubMedCrossRef
18.
Zurück zum Zitat Australian Bureau of Statistics (2008) Census of population and housing: socio-economic indexes for areas (SEIFA), Australia. Catalogue Number 2033.0.55.001. Australian Bureau of Statistics, Canberra, Australia Australian Bureau of Statistics (2008) Census of population and housing: socio-economic indexes for areas (SEIFA), Australia. Catalogue Number 2033.0.55.001. Australian Bureau of Statistics, Canberra, Australia
19.
Zurück zum Zitat Department of Health and Aged Care and the University of Adelaide (1999) Measuring remoteness: accessibility/remoteness index of Australia (ARIA). Occasional Papers: New Series No 6. Commonwealth of Australia, Canberra Department of Health and Aged Care and the University of Adelaide (1999) Measuring remoteness: accessibility/remoteness index of Australia (ARIA). Occasional Papers: New Series No 6. Commonwealth of Australia, Canberra
20.
Zurück zum Zitat Charlson ME, Pompei P, Ales KL, MacKenzie CR (1987) A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 40:373–383PubMedCrossRef Charlson ME, Pompei P, Ales KL, MacKenzie CR (1987) A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 40:373–383PubMedCrossRef
21.
Zurück zum Zitat Royston P, White IR (2011) Multiple imputation by chained equations (MICE): implementation in Stata. J Stat Softw 45:1–20 Royston P, White IR (2011) Multiple imputation by chained equations (MICE): implementation in Stata. J Stat Softw 45:1–20
22.
Zurück zum Zitat Zou G (2004) A modified Poisson regression approach to prospective studies with binary data. Am J Epidemiol 159:702–706PubMedCrossRef Zou G (2004) A modified Poisson regression approach to prospective studies with binary data. Am J Epidemiol 159:702–706PubMedCrossRef
23.
Zurück zum Zitat Sterne JAC, White IR, Carlin JB et al (2009) Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls. BMJ 338 Sterne JAC, White IR, Carlin JB et al (2009) Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls. BMJ 338
25.
Zurück zum Zitat Azur MJ, Stuart EA, Frangakis C, Leaf PJ (2011) Multiple imputation by chained equations: what is it and how does it work? Int J Methods Psychiatr Res 20:40–49PubMedCentralPubMedCrossRef Azur MJ, Stuart EA, Frangakis C, Leaf PJ (2011) Multiple imputation by chained equations: what is it and how does it work? Int J Methods Psychiatr Res 20:40–49PubMedCentralPubMedCrossRef
26.
Zurück zum Zitat Willett WC (1998) Nutritional epidemiology, 2nd edn. Oxford University Press, New YorkCrossRef Willett WC (1998) Nutritional epidemiology, 2nd edn. Oxford University Press, New YorkCrossRef
27.
Zurück zum Zitat Fedirko V, Tramacere I, Bagnardi V et al (2011) Alcohol drinking and colorectal cancer risk: an overall and dose–response meta-analysis of published studies. Ann Oncol 22:1958–1972PubMedCrossRef Fedirko V, Tramacere I, Bagnardi V et al (2011) Alcohol drinking and colorectal cancer risk: an overall and dose–response meta-analysis of published studies. Ann Oncol 22:1958–1972PubMedCrossRef
28.
Zurück zum Zitat Krämer HU, Schöttker B, Raum E, Brenner H (2012) Type 2 diabetes mellitus and colorectal cancer: meta-analysis on sex-specific differences. Eur J Cancer 48:1269–1282PubMedCrossRef Krämer HU, Schöttker B, Raum E, Brenner H (2012) Type 2 diabetes mellitus and colorectal cancer: meta-analysis on sex-specific differences. Eur J Cancer 48:1269–1282PubMedCrossRef
29.
30.
Zurück zum Zitat Colt JS, Schwartz K, Graubard BI et al (2011) Hypertension and risk of renal cell carcinoma among white and black Americans. Epidemiology 22:797–804PubMedCentralPubMed Colt JS, Schwartz K, Graubard BI et al (2011) Hypertension and risk of renal cell carcinoma among white and black Americans. Epidemiology 22:797–804PubMedCentralPubMed
31.
Zurück zum Zitat Kreiger N, Nishri ED (1997) The effect of nonresponse on estimation of relative risk in a case–control study. Ann Epidemiol 7:194–199PubMedCrossRef Kreiger N, Nishri ED (1997) The effect of nonresponse on estimation of relative risk in a case–control study. Ann Epidemiol 7:194–199PubMedCrossRef
32.
Zurück zum Zitat Wigertz A, Lönn S, Hall P, Feychting M (2010) Non-participant characteristics and the association between socioeconomic factors and brain tumour risk. J Epidemiol Community Health 64:736–743PubMedCrossRef Wigertz A, Lönn S, Hall P, Feychting M (2010) Non-participant characteristics and the association between socioeconomic factors and brain tumour risk. J Epidemiol Community Health 64:736–743PubMedCrossRef
33.
Zurück zum Zitat López R, Frydenberg M, Baelum V (2008) Non-participation and adjustment for bias in case–control studies of periodontitis. Eur J Oral Sci 116:405–411PubMedCrossRef López R, Frydenberg M, Baelum V (2008) Non-participation and adjustment for bias in case–control studies of periodontitis. Eur J Oral Sci 116:405–411PubMedCrossRef
34.
Zurück zum Zitat Hatch EE, Kleinerman RA, Linet MS et al (2000) Do confounding or selection factors of residential wiring codes and magnetic fields distort findings of electromagnetic fields studies? Epidemiology 11:189–198PubMedCrossRef Hatch EE, Kleinerman RA, Linet MS et al (2000) Do confounding or selection factors of residential wiring codes and magnetic fields distort findings of electromagnetic fields studies? Epidemiology 11:189–198PubMedCrossRef
35.
Zurück zum Zitat Ramos E, Lopes C, Barros H (2004) Investigating the effect of nonparticipation using a population-based case–control study on myocardial infarction. Ann Epidemiol 14:437–441PubMedCrossRef Ramos E, Lopes C, Barros H (2004) Investigating the effect of nonparticipation using a population-based case–control study on myocardial infarction. Ann Epidemiol 14:437–441PubMedCrossRef
36.
Zurück zum Zitat Madigan MP, Troisi R, Potischman N et al (2000) Characteristics of respondents and non-respondents from a case–control study of breast cancer in younger women. Int J Epidemiol 29:793–798PubMedCrossRef Madigan MP, Troisi R, Potischman N et al (2000) Characteristics of respondents and non-respondents from a case–control study of breast cancer in younger women. Int J Epidemiol 29:793–798PubMedCrossRef
37.
Zurück zum Zitat Vrijheid M, Richardson L, Armstrong BK et al (2009) Quantifying the impact of selection bias caused by nonparticipation in a case–control study of mobile phone use. Ann Epidemiol 19(33–41):e31 Vrijheid M, Richardson L, Armstrong BK et al (2009) Quantifying the impact of selection bias caused by nonparticipation in a case–control study of mobile phone use. Ann Epidemiol 19(33–41):e31
38.
Zurück zum Zitat Hall AE, Sanson-Fisher RW, Lynagh MC, Threlfall T, D’Este CA (2013) Format and readability of an enhanced invitation letter did not affect participation rates in a cancer registry-based study: a randomized controlled trial. J Clin Epidemiol 66:85–94PubMedCrossRef Hall AE, Sanson-Fisher RW, Lynagh MC, Threlfall T, D’Este CA (2013) Format and readability of an enhanced invitation letter did not affect participation rates in a cancer registry-based study: a randomized controlled trial. J Clin Epidemiol 66:85–94PubMedCrossRef
39.
Zurück zum Zitat Mols F, Aaronson NK, Vingerhoets AJJM et al (2007) Quality of life among long-term non-Hodgkin lymphoma survivors. Cancer 109:1659–1667PubMedCrossRef Mols F, Aaronson NK, Vingerhoets AJJM et al (2007) Quality of life among long-term non-Hodgkin lymphoma survivors. Cancer 109:1659–1667PubMedCrossRef
40.
Zurück zum Zitat Richiardi L, Boffetta P, Merletti F (2002) Analysis of nonresponse bias in a population-based case–control study on lung cancer. J Clin Epidemiol 55:1033–1040PubMedCrossRef Richiardi L, Boffetta P, Merletti F (2002) Analysis of nonresponse bias in a population-based case–control study on lung cancer. J Clin Epidemiol 55:1033–1040PubMedCrossRef
41.
Zurück zum Zitat Smith T, Stein KD, Mehta CC et al (2007) The rationale, design, and implementation of the American Cancer Society’s studies of cancer survivors. Cancer 109:1–12PubMedCrossRef Smith T, Stein KD, Mehta CC et al (2007) The rationale, design, and implementation of the American Cancer Society’s studies of cancer survivors. Cancer 109:1–12PubMedCrossRef
42.
Zurück zum Zitat Geller B, Mace J, Vacek P, Johnson A, Lamer C, Cranmer D (2011) Are cancer survivors willing to participate in research? J Community Health 36:772–778PubMedCrossRef Geller B, Mace J, Vacek P, Johnson A, Lamer C, Cranmer D (2011) Are cancer survivors willing to participate in research? J Community Health 36:772–778PubMedCrossRef
43.
Zurück zum Zitat Mols F, Oerlemans S, Denollet J, Roukema J-A, van de Poll-Franse LV (2012) Type D personality is associated with increased comorbidity burden and health care utilization among 3080 cancer survivors. Gen Hosp Psychiatry 34:352–359PubMedCrossRef Mols F, Oerlemans S, Denollet J, Roukema J-A, van de Poll-Franse LV (2012) Type D personality is associated with increased comorbidity burden and health care utilization among 3080 cancer survivors. Gen Hosp Psychiatry 34:352–359PubMedCrossRef
44.
Zurück zum Zitat Kelly B, Fraze T, Hornik R (2010) Response rates to a mailed survey of a representative sample of cancer patients randomly drawn from the Pennsylvania Cancer Registry: a randomized trial of incentive and length effects. BMC Med Res Methodol 10:65PubMedCentralPubMedCrossRef Kelly B, Fraze T, Hornik R (2010) Response rates to a mailed survey of a representative sample of cancer patients randomly drawn from the Pennsylvania Cancer Registry: a randomized trial of incentive and length effects. BMC Med Res Methodol 10:65PubMedCentralPubMedCrossRef
45.
Zurück zum Zitat Morabia A, Bemstein M, Héritier S, Khatchatrian N (1996) Relation of breast cancer with passive and active exposure to tobacco smoke. Am J Epidemiol 143:918–928PubMedCrossRef Morabia A, Bemstein M, Héritier S, Khatchatrian N (1996) Relation of breast cancer with passive and active exposure to tobacco smoke. Am J Epidemiol 143:918–928PubMedCrossRef
46.
Zurück zum Zitat Wingo PA, Ory HW, Layde PM, Lee NC (1988) The evaluation of the data collection process for a multicenter, population-based, case–control design. Am J Epidemiol 128:206–217PubMed Wingo PA, Ory HW, Layde PM, Lee NC (1988) The evaluation of the data collection process for a multicenter, population-based, case–control design. Am J Epidemiol 128:206–217PubMed
47.
Zurück zum Zitat Girgis A, Boyes A, Sanson-Fisher RW, Burrows S (2000) Perceived needs of women diagnosed with breast cancer: rural versus urban location. Aust N Z J Public Health 24:166–173PubMedCrossRef Girgis A, Boyes A, Sanson-Fisher RW, Burrows S (2000) Perceived needs of women diagnosed with breast cancer: rural versus urban location. Aust N Z J Public Health 24:166–173PubMedCrossRef
48.
Zurück zum Zitat Maclure M, Hankinson S (1990) Analysis of selection bias in a case–control study of renal adenocarcinoma. Epidemiology 1:441–447PubMedCrossRef Maclure M, Hankinson S (1990) Analysis of selection bias in a case–control study of renal adenocarcinoma. Epidemiology 1:441–447PubMedCrossRef
Metadaten
Titel
Smoking, alcohol, diabetes, obesity, socioeconomic status, and the risk of colorectal cancer in a population-based case–control study
verfasst von
Terry Boyle
Lin Fritschi
Seyed Mehdi Tabatabaei
Kathrin Ringwald
Jane S. Heyworth
Publikationsdatum
01.12.2014
Verlag
Springer International Publishing
Erschienen in
Cancer Causes & Control / Ausgabe 12/2014
Print ISSN: 0957-5243
Elektronische ISSN: 1573-7225
DOI
https://doi.org/10.1007/s10552-014-0470-7

Weitere Artikel der Ausgabe 12/2014

Cancer Causes & Control 12/2014 Zur Ausgabe

Update Onkologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.