The new correlation research shown an average relationship ranging from HPV infection and you may specific physical, sociodemographic, sexual and you can reproductive health parameters
The fresh new shot population had the common number of education to your HPV off thirteen.6 +/? 2.0 (95% CI thirteen.2–13.9) with the a size regarding 20. There are high differences in degree according to the number of training (U = 425.5; p = 0.004). Records degree towards HPV are highest to your class with a high school-college degree as compared to elementary-no degree. Zero differences in studies was basically receive due to age (U = 1442.0; p = 0.150) otherwise relationship condition (U = 1450.0; p = 0.122).
The latest volume out-of issues considering HPV filter systems is found inside the Figure 2A. Of full shot society, 65.0% were defined as HPV self-confident having 49.1% of the population known to be contaminated with high-risk HPV. On the group of people with HPV, 75.6% out-of infections corresponded so you can a high-chance genotype and you will 74.3% of the people was basically known to have coinfections with several HPV strains (forty-eight.3% away from complete shot people). Certain coinfected feminine shown as much as 8 more genotypes.
The remainder variables integrated: the age at which the fresh participant turned into sexually energetic (X 2 = 3,234; p = 0
Figure 2. (A) Frequency study out-of HPV illness in females based on level of chance, Cuenca, Ecuador; 2019. n=120 lr (lowest exposure)-HPV 6, eleven, 42, 43, forty two, 81 (CP8304). ir (undetermined risk)-HPV 26, 34, forty, 54, 55, 57, 61, 67, 69, 70, 71, 72, 73, 82, 83, 84. hour (high risk)-HPV sixteen, 18, 31, 33, thirty five, 39, forty five, 51, 52, 53, 56, 58, 59, 66, 68. (B) Frequency study of HPV infection in women considering years; Cuenca, Ecuador; 2019. n=120. (C) Frequency data out of time HPV genotypes in females; Cuenca, Ecuador; 2019. n=120.
Even though the groups of female old 56–65 and 30–forty five years of age got a top proportion out of HPV problems (Profile 2B), the new Z try evaluation to possess ratio was not able to expose significant differences between a long time (p > 0.050). You will find zero connection between age groups and HPV infection (X dos = dos.746; p = 0.432).
The fresh regularity distribution of one’s hrHPV stresses are found from inside the Contour 2C. The most typical genotype are hrHPV 18, accompanied by genotypes 52, 66, thirty five, and you can 51 (X dos = seven.234; p = 0.041). HPV sixteen got a reduced volume away from problems throughout the group studied.
step three.dos. Modeling out-of HPV infection
Dining table 2. HPV issues considering Parity, Cigarette https://kissbrides.com/tr/filtre/hiristiyan-tek-kadinlar/ application, Level of sexual people, Birth control and you may Immunosuppression episodes in females from Cuenca Ecuador, 2019.
When you are full no organization are discover between HPV issues and you can condom have fun with, when accounting to own relationship standing, people who had been single or perhaps in common-law unions, condom explore try of this straight down infectivity (Fisher’s X 2 = 5.852; p = 0.026; V Cramer = ? 0.293; p = 0.016). To have partnered feminine, this organization wasn’t located (X 2 = step one.231; p = 0.412).
357), information about HPV (X dos = 0.261; p = 0.610), gynecological healthcare (X dos = 0.141; p = 0.708), host to house (X dos = 0.369; p = 0.562), training top (X dos = 0.188; p = 0.664), alcohol based drinks (X dos = 0.669; p = 0.413), age groups (X dos = 2.033; p = 0.362), prior STIs (X dos = step 1.553; p = 0.276), regularity off sexual intercourse (X 2 = 0.701; p = 0.441), and you may marital standing (X 2 = 1.528; p = 0.250). These were maybe not on the HPV problems about test analyzed.
Digital logistic regression affirmed an association ranging from parity, immunosuppression symptoms, the means to access oral contraceptives/IUDs, and you may confident HPV problems. The remainder parameters were omitted and their reduced mathematical importance (p > 0.050) or lower predictive energy that have a non-tall Otherwise. No confounding otherwise correspondence variables was basically discovered. The characteristics of your model acquired because of the binary logistic regression are found during the Table step 3.