The new decide to try people had the common level of knowledge toward HPV away from thirteen.six +/? dos.0 (95% CI 13.2–thirteen.9) toward a measure regarding 20. There are extreme variations in knowledge with respect to the number of degree (U = 425.5; p = 0.004). Background knowledge with the HPV is highest with the category with a high school-college degree as compared to elementary-zero education. No variations in knowledge was receive on account of ages (U = 1442.0; p = 0.150) or marital standing (You = 1450.0; p = 0.122).
The volume of illness considering HPV filter systems is found when you look at the Profile 2A. Of your own complete shot populace, 65.0% had been defined as HPV positive that have forty two.1% of your own inhabitants identified become contaminated with high-risk HPV. Into band of customers having HPV, 75.6% out-of attacks corresponded so you’re able to a high-exposure genotype and 74.3% of your own people was basically known to have coinfections having multiple HPV strains (forty eight.3% off full try population). Certain coinfected women shown up to 8 other genotypes.
The remainder parameters incorporated: age from which the fresh new member turned sexually effective (X 2 = step three,234; p = 0
Profile dos. (A) Regularity analysis away from HPV infection in females according to level of chance, Cuenca, Ecuador; 2019. n=120 lr (reasonable exposure)-HPV six, 11, 42, 43, 44, 81 (CP8304). ir (undetermined chance)-HPV 26, 34, 40, 54, 55, 57, 61, 67, 69, 70, 71, 72, 73, 82, 83, 84. time (high risk)-HPV sixteen, 18, 29, 33, thirty-five, 39, forty five, 51, 52, 53, 56, 58, 59, 66, 68. (B) Volume analysis out of HPV disease in women predicated on decades; Cuenca, Ecuador; 2019. n=120. (C) Volume research from time HPV genotypes in females; Cuenca, Ecuador; 2019. n=120.
Whilst sets of women old 56–65 and 31–45 years of age had a higher proportion out-of HPV bacterial infections (Shape 2B), the fresh new Z try analysis getting proportion was unable to present extreme differences when considering a long time (p > 0.050). Discover no association anywhere between a long time and you may HPV disease (X 2 = dos.746; p = 0.432).
The new frequency shipment of hrHPV stresses try revealed inside Contour 2C. The most typical genotype is hrHPV 18, followed by genotypes 52, 66, thirty five, and you will 51 (X dos = 7.234; p = 0.041). HPV sixteen had a minimal frequency away from infection regarding group studied.
step three.2. Acting of HPV disease
Dining table dos. HPV illness based on Parity, Tobacco cigarette use, Level of sexual partners, Contraceptive and you will Immunosuppression attacks in females of Cuenca Ecuador, 2019.
While complete zero organization was discovered between HPV problems and you will condom play with, whenever bookkeeping getting relationship standing, members who had been solitary or even in common-law unions, condom have fun with try in the straight down infectivity (Fisher’s X dos = 5.852; p = 0.026; V Cramer = ? 0.293; p = 0.016). For married female, which connection was not discovered (X 2 = step one.231; p = 0.412).
357), knowledge about HPV (X dos = 0.261; p = 0.610), gynecological health care (X dos = 0.141; p = 0.708), place of house (X 2 = 0.369; p = 0.562), knowledge peak (X 2 = 0.188; p = 0.664), alcohol consumption (X dos = 0.669; p = 0.413), age range (X 2 = 2.033; p = 0.362), prior STIs (X 2 = step one.553; p = 0.276), volume out-of sexual intercourse (X dos = 0.701; p = 0.441), and you can relationship status (X dos = step one.528; p = 0.250). These were perhaps not associated with the HPV issues in the decide to try read.
Binary logistic regression verified a link between parity, immunosuppression periods, entry to dental contraceptives/IUDs, and you can self-confident HPV problems. The rest of the details was basically excluded along with their lower statistical advantages (p > 0.050) or reasonable predictive strength with a non-significant Or. Zero confounding otherwise correspondence parameters had been discovered. The characteristics of your model acquired by the digital logistic regression Sumy hot girls was shown when you look at the Table 3.
