PLoS ONE (Jan 2016)

Health Behaviors and Associated Sociodemographic Factors in Cervical Cancer Survivors Compared with Matched Non-Cancer Controls.

  • Boyoung Park,
  • Se Ik Kim,
  • Sang-Soo Seo,
  • Sokbom Kang,
  • Sang-Yoon Park,
  • Myong Cheol Lim

DOI
https://doi.org/10.1371/journal.pone.0160682
Journal volume & issue
Vol. 11, no. 8
p. e0160682

Abstract

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We explored the prevalence of smoking, alcohol consumption, physical activity, and obesity in cervical cancer survivors and examined associations between sociodemographic factors and each health behavior. We studied 448 cervical cancer survivors ≥2 years after their initial diagnosis who had completed treatment. The total sample consisted of these survivors, and 4,480 cancer-free controls who were grouped into 5-year age cohorts and matched to the survivors in terms of both education and monthly household income. The prevalence of current smoking, current alcohol consumption, physical inactivity, and obesity in cervical cancer survivors (2.68, 23.88, 62.02, and 32.81%, respectively) did not differ significantly from those of matched non-cancer controls. Age (younger), marital status (married), and education (≥college) were associated with lower probabilities of current alcohol consumption (odds ratio [OR] = 0.91, 95% confidence interval [CI] = 0.88-0.95; OR = 0.42, 95% CI = 0.23-0.78; OR = 0.49, 95% CI = 0.25-0.97, respectively). A monthly household income ≥$2,000, being employed, and self-rated health status (less healthy) were associated with physical inactivity (OR = 0.61, 95% CI = 0.37-0.99; OR = 2.16, 95% CI = 1.36-3.42; OR = 1.94, 95% CI = 1.23-3.05, respectively). Both age and number of years since diagnosis were associated with obesity (OR = 1.04, 95% CI = 1.01-1.08; OR = 0.38; 95% CI = 0.20-0.72, respectively). The health behaviors of cervical cancer survivors did not differ from those of matched cancer-free controls. As health behaviors are modifiable, identification of cervical cancer survivors who are at risk of an unhealthy lifestyle would allow individual- and population-based intervention programs to more effectively use their limited resources.