Determination of Multiple Cancer Risk Behaviors Among Adult Population in Turkey: A Cross-sectional Study

Year 2023, Volume: 7 Issue: 1, 363 - 375, 31.01.2023

Merve İpek Şıklaroğlu , Ayla Tuzcu

https://doi.org/10.30621/jbachs.1117789

Cited By: 1

Abstract

Background: Modifiable cancer risk behaviors are general not seen alone but in combination in individuals.
Purpose: This study aims to investigate the factors associated with combinations of cancer risk behaviors, including tobacco use, obesity, and low physical activity that cause cancer in adults.
Methods: A total of 720 adults were selected using the multi-stage cluster sampling method. Data were collected using the World Health Organization STEP-wise protocols.
Results: It was found that 46.9% of the participants showed one, 46.3% two or more types of risk behavior. The percentage of married individuals was higher among those who engaged in one, two, or three risky behaviors than those who did not engage in risky behaviors. Among participants with two risk behaviors, the percentage of those who rated their health as very good was lower than those without risk behaviors; those who had friends or relatives with cancer were high. Those who engaged in three risk behaviors were less educated and had lower incomes than those who did not engage in risk behaviors.
Conclusions: Health intervention strategies should be increased in primary health care institutions for individuals who are married, has low level of education and income and has weak perception of health.

Keywords

Cancer risk, cluster sampling method, modifiable cancer risk behavior.

Supporting Institution

Akdeniz University Scientific Research Projects

Project Number

TYL-2019-4991.

References

• 1. World Health Organization [WHO]. Cancer. Available from: https://www.who.int/health-topics/cancer#tab=tab_1 (Access date: 01.10.2021).
• 2. National Cancer Institute [NCI]. Cancer Prevention Overview (PDQ®)–Patient Version. Available from: https://www.cancer.gov/about-cancer/causes-prevention/patient-prevention-overview-pdq (Access date: 30.07.2021).
• 3. deRuiter WK, Cairney J, Leatherdale S, Faulkner G. The period prevalence of risk behavior co-occurrence among Canadians. Prev Med 2016;85:11–6.
• 4. Noble N, Paul C, Turon H, Oldmeadow C. Which modifiable health risk behaviours are related? A systematic review of the clustering of Smoking, Nutrition, Alcohol and Physical activity ('SNAP’) health risk factors. Prev Med 2015;81:16-41.
• 5. Silva DA, Peres KG, Boing AF, González-Chica DA, Peres MA. Clustering of risk behaviors for chronic noncommunicable diseases: A population-based study in Southern Brazil. Prev Med 2013;56(1):20-4.
• 6. Leatherdale ST, Rynard V. A cross-sectional examination of modifiable risk factors for chronic disease among a nationally representative sample of youth: Are Canadian students graduating high school with a failing grade for health? BMC Public Health 2013;13(569):1-8.
• 7. Larsson SC, Kaluza J, Wolk A. Combined impact of healthy lifestyle factors on lifespan: Two prospective cohorts. J Intern Med 2017;282(3):209–219. 8. Petersen KE, Johnsen NF, Olsen A, et al. The combined impact of adherence to five lifestyle factors on all-cause, cancer and cardiovascular mortality: A prospective cohort study among Danish men and women. Br J Nutr 2015;113(5):849-858.
• 9. Ministry of Health. Health Statistics Yearbook 2019. Available from: https://sbsgm.saglik.gov.tr/TR,82338/saglik-istatistikleri-yilligi-2019-yayinlanmistir.html (Access date: 20.04.2021).
• 10. Kabat GC, Matthews CE, Kamensky V, Hollenbeck AR, Rohan TE. Adherence to cancer prevention guidelines and cancer incidence, cancer mortality, and total mortality: A prospective cohort study. Am J Clin Nutr 2015;101(3):558-569.
• 11. Tosun A, Hisar F. Public health nursing. Antalya: Cukurova Nobel Medicine Bookstore; 2021.
• 12. Ministry of Health. Turkey household health survey: Prevalence of risk factors for noncommunicable diseases 2017 (STEPS). Available from: https://www.who.int/ncds/surveillance/steps/WHO_Turkey_Risk_Factors_A4_TR_19.06.2018.pdf (Access date: 01.11.2019).
• 13. Erdem SS, Yılmaz M, Yıldırım H, et al. Information level on cancer and cancer risk factors living in Duzce. J DU Health Sci Inst 2017;7(1):01–10.
• 14. WHO. WHO STEPS surveillance manual: The WHO STEPwise approach to noncommunicable disease risk factor surveillance. Available from: https://www.who.int/teams/noncommunicable-diseases/surveillance/systems-tools/steps/manuals (Access date:10.02.2019).
• 15. Ministry of Health. Health Statistics Yearbook 2018. Available from: https://sbsgm.saglik.gov.tr/TR-62398/saglik-istatistikleri-yilligi-2018-yayinlandi.html (Access date:15.04.2019).
• 16. Turkish Statistical Institute. Turkish Statistical Institute Central Distribution System, Ibbs-Level1, Ibbs-Level2, provincial and district populations by age, Antalya Konyaalti. Available from: https://biruni.tuik.gov.tr/medas/ (Access date:30.10.2019).
• 17. Bennett S, Woods T, Liyanage W, Smith D. A simplified general method for cluster-sample surveys of health in developing countries. World Heal Stat Q 1991;44(3):98-106.
• 18. Centers for Disease Control and Prevention [CDC]. Assessing Your Weight. Available from: https://www.cdc.gov/healthyweight/assessing/index.html (Access date:05.07.2019).
• 19. Saglam M, Arikan H, Savci S, et al. International physical activity questionnaire: Reliability and validity of the Turkish version. Percept Mot Skills 2010;111(1):278-284.
• 20. Craig CL, Marshall AL, Sjöström M, et al. International physical activity questionnaire: 12-Country reliability and validity. Med Sci Sport Exerc 2003;35(8):1381-1395.
• 21. Soylu C, Kütük B. Reliability and validity of the Turkish version of SF-12 Health Survey. Turkish Journal of Psychiatry 2021.
• 22. Noonan D, Dardas L, Bice-Wigington T, et al. Understanding multiple behavioral risk factors for cancer in rural women. Public Health Nurs 2016;33(6):519-528.
• 23. Barik A, Rai RK, Gorain A, Majumdar S, Chowdhury A. Socio-economic disparities in tobacco consumption in rural India: Evidence from a health and demographic surveillance system. Perspect Public Health 2016;136(5):278-287.
• 24. Yaya S, Bishwajit G. Alcohol and tobacco use among men in Zambia and Zimbabwe. J Lifestyle Med 2019;9(1):67-73.
• 25. Kawachi A, Shimazu T, Budhathoki S, et al. Association of BMI and height with the risk of endometrial cancer, overall and by histological subtype: A population-based prospective cohort study in Japan. Eur J Cancer Prev 2019;28(3):196-202.
• 26. Hales CM, Carroll MD, Fryar CD, Ogden CL. Prevalence of obesity among adults and youth: United States. NCHS Data Brief 2017;(288):1-8.
• 27. Ogden CL, Fakhouri TH, Carroll MD, et al. Prevalence of obesity among adults, by household income and education — United States, 2011–2014. MMWR Morb Mortal Wkly Rep 2017;66(50):1369-1373.
• 28. Kahan D. Adult physical inactivity prevalence in the Muslim world: Analysis of 38 countries. Prev Med Rep 2015;2:71-75.
• 29. İpek E. Socioeconomics determinants of obesity in Turkey. IJEAS 2019;2019(25):57–79.
• 30. Kim Y, Wilkens LR, Park SY, Goodman MT, Monroe KR, Kolonel LN. Association between various sedentary behaviours and all-cause, cardiovascular disease and cancer mortality: The multiethnic cohort study. Int J Epidemiol 2013;42(4):1040-1056.
• 31. Behrens G, Matthews CE, Moore SC, et al. The association between frequency of vigorous physical activity and hepatobiliary cancers in the NIH-AARP Diet and Health Study. Eur J Epidemiol 2013;28(1):55-66.
• 32. Song N, Liu F, Han M, et al. Prevalence of overweight and obesity and associated risk factors among adult residents of northwest China: A cross-sectional study. BMJ Open 2019;9(9):e028131.
• 33. Munyogwa MJ, Mtumwa AH. The prevalence of abdominal obesity and its correlates among the adults in Dodoma Region, Tanzania: A community-based cross-sectional study. Adv Med 2018;2018:6123156.
• 34. Peltzer K, Chao LW, Ramlagan S, Szrek H. Daily tobacco use and problem drinking among urban adults in South Africa: A longitudinal study. Pan Afr Med J 2019;32:51.
• 35. Wang TW, Asman K, Gentzke AS, et al. Tobacco product use among adults — United States, 2017. MMWR Morb Mortal Wkly Rep 2018;67(44):1225-1232.
• 36. Sreedhara M, Silfee VJ, Rosal MC, Waring ME, Lemon SC. Does provider advice to increase physical activity differ by activity level among US adults with cardiovascular disease risk factors? Fam Pract 2018;35(4):420-425.
• 37. Ergin I, Hassoy H, Kunst A. Socio-economic inequalities in overweight among adults in Turkey: A regional evaluation. Public Health Nutr 2012;15(1):58-66.
• 38. Matthews CE, Cohen SS, Fowke JH, et al. Physical activity, sedentary behavior, and cause-specific mortality in black and white adults in the Southern Community Cohort Study. Am J Epidemiol 2014;180(4):394-405.
• 39. Loprinzi PD. Factors influencing the disconnect between self-perceived health status and actual health profile: Implications for improving self-awareness of health status. Prev Med 2015;73:37-39.
• 40. Kim JH, Kim JM. Subjective life expectancy is a risk factor for perceived health status and mortality. Health Qual Life Outcomes 2017;15(1):190.
• 41. Yamauchi M, Lochhead P, Imamura Y, et al. Physical activity, tumor PTGS2 expression, and survival in patients with colorectal cancer. Cancer Epidemiol Biomarkers Prev 2013;22(6):1142-1152.
• 42. Jones ME, Schoemaker MJ, Wright LB, Ashworth A, Swerdlow AJ. Smoking and risk of breast cancer in the Generations Study cohort. Breast Cancer Res 2017;19(1):118.
• 43. Neuhouser ML, Aragaki AK, Prentice RL, et al. Overweight, obesity, and postmenopausal invasive breast cancer risk: A secondary analysis of the women’s health initiative randomized clinical trials. JAMA Oncol 2015 Aug;1(5):611-621.
• 44. Kinge JM, Morris S. The impact of childhood obesity on health and health service use. Health Serv Res 2018;53(3):1621-1643.
• 45. Wang Y, Sung HY, Yao T, Lightwood J, Max W. Health care utilization and expenditures attributable to cigar smoking among US adults, 2000-2015. Public Health Rep 2018;133(3):329-37.