TY - JOUR
T1 - Non-participation in cervical cancer screening according to health, lifestyle and sexual behavior
T2 - A population-based study of nearly 15,000 Danish women aged 23–45 years
AU - Harder, Elise
AU - Hertzum-Larsen, Rasmus
AU - Frederiksen, Kirsten
AU - Kjær, Susanne K.
AU - Thomsen, Louise T.
PY - 2020
Y1 - 2020
N2 - High participation in cervical cancer screening is essential for an effective screening program. In this population-based study, we investigated associations between general health, lifestyle and sexual behavior, and non-participation in cervical cancer screening in Denmark. During 2011–2012, a random sample of women aged 18–45 years from the general female population were invited to participate in a survey regarding health, lifestyle and sexual habits. Altogether 18,631 women responded (response rate: 75.1%), of whom 14,271 women aged 23–45 years were included in this analysis. Information on screening participation within four years after response, and data on sociodemographic characteristics, was obtained from nationwide registers. Logistic regression was used to calculate odds ratios (ORs) for non-participation, crude and adjusted for sociodemographic characteristics. Overall, 13.9% of the women were not screened during follow-up. The odds of non-participation was increased in women who were overweight (ORadj. = 1.20; 95% CI, 1.06–1.35), obese (ORadj. = 1.46; 95% CI, 1.27–1.67), perceived themselves as much too fat (ORadj. = 1.50; 95% CI, 1.29–1.74), had poor self-perceived health (ORadj. = 1.22; 95% CI, 1.03–1.45) or smoked daily (ORadj. = 1.81; 95% CI, 1.61–2.03). Conversely, women with previous genital warts or other sexually transmitted infections, and young women with ≥10 lifetime sexual partners or ≥2 new recent partners, had decreased odds of non-participation. In conclusion, obesity, poor self-perceived health and daily smoking were associated with lower participation in cervical cancer screening. Interventions targeting these groups are needed.
AB - High participation in cervical cancer screening is essential for an effective screening program. In this population-based study, we investigated associations between general health, lifestyle and sexual behavior, and non-participation in cervical cancer screening in Denmark. During 2011–2012, a random sample of women aged 18–45 years from the general female population were invited to participate in a survey regarding health, lifestyle and sexual habits. Altogether 18,631 women responded (response rate: 75.1%), of whom 14,271 women aged 23–45 years were included in this analysis. Information on screening participation within four years after response, and data on sociodemographic characteristics, was obtained from nationwide registers. Logistic regression was used to calculate odds ratios (ORs) for non-participation, crude and adjusted for sociodemographic characteristics. Overall, 13.9% of the women were not screened during follow-up. The odds of non-participation was increased in women who were overweight (ORadj. = 1.20; 95% CI, 1.06–1.35), obese (ORadj. = 1.46; 95% CI, 1.27–1.67), perceived themselves as much too fat (ORadj. = 1.50; 95% CI, 1.29–1.74), had poor self-perceived health (ORadj. = 1.22; 95% CI, 1.03–1.45) or smoked daily (ORadj. = 1.81; 95% CI, 1.61–2.03). Conversely, women with previous genital warts or other sexually transmitted infections, and young women with ≥10 lifetime sexual partners or ≥2 new recent partners, had decreased odds of non-participation. In conclusion, obesity, poor self-perceived health and daily smoking were associated with lower participation in cervical cancer screening. Interventions targeting these groups are needed.
KW - Attendance
KW - Cervical cancer
KW - Determinants
KW - General health
KW - Lifestyle
KW - Logistic regression
KW - Mass screening
KW - Participation
KW - Screening
KW - Secondary prevention
KW - Sexual behavior
KW - Uterine cervical neoplasms
U2 - 10.1016/j.ypmed.2020.106119
DO - 10.1016/j.ypmed.2020.106119
M3 - Journal article
C2 - 32387298
AN - SCOPUS:85085326116
SN - 0091-7435
VL - 137
JO - Preventive Medicine
JF - Preventive Medicine
M1 - 106119
ER -