The brand new take to society had the typical quantity of knowledge to the HPV away from thirteen.6 +/? 2.0 (95% CI 13.2–13.9) into the a size away from 20. There have been tall differences in knowledge depending on the level of studies (U = 425.5; p = 0.004). Record education with the HPV try large toward class with a high school-college education as compared to primary-zero studies. Zero differences in training was receive due to years (You = 1442.0; p = 0.150) otherwise relationship status (You = 1450.0; p = 0.122).
The fresh new volume regarding illness predicated on HPV filters try found when you look at the Figure 2A. Of your own complete sample inhabitants, 65.0% was indeed defined as HPV confident that have forty two.1% of your populace recognized is infected with high-risk HPV. Toward selection of clients with HPV, 75.6% from bacterial infections corresponded to help you a leading-risk genotype and 74.3% of your own patients had been understood getting coinfections that have numerous HPV stresses (48.3% of complete shot inhabitants). Particular coinfected women shown to 8 other genotypes.
The rest parameters included: age where new new member turned sexually energetic (X dos = step three,234; p = 0
Profile dos. (A) Regularity studies out-of HPV infection in females based on amount of risk, Cuenca, Ecuador; 2019. n=120 lr (lowest chance)-HPV 6, eleven, 42, 43, 44, 81 (CP8304). ir (undetermined risk)-HPV twenty six, 34, 40, 54, 55, 57, 61, 67, 69, 70, 71, 72, 73, 82, 83, 84. hr (high-risk)-HPV sixteen, 18, 29, 33, thirty five, 39, forty five, 51, 52, 53, 56, 58, 59, 66, 68. (B) Frequency studies out of HPV problems in women centered on many years; Cuenca, Ecuador; 2019. n=120. (C) Volume analysis off hr HPV genotypes in women; Cuenca, Ecuador; 2019. n=120.
Whilst categories of feminine aged 56–65 and you can 30–forty-five years old had a top proportion from HPV infection (Figure 2B), the brand new Z test analysis having proportion was unable to present tall differences between age range (p > 0.050). There was zero connection ranging from a long time and HPV issues (X dos = dos.746; p = 0.432).
The frequency shipment of hrHPV challenges are kissbrides.com avantajlД± site shown within the Figure 2C. The most typical genotype was hrHPV 18, followed closely by genotypes 52, 66, thirty five, and 51 (X dos = seven.234; p = 0.041). HPV sixteen got a low regularity out-of problems from the class read.
step 3.dos. Acting away from HPV disease
Dining table dos. HPV infection according to Parity, Tobacco usage, Number of sexual couples, Birth prevention and Immunosuppression periods in females out-of Cuenca Ecuador, 2019.
When you’re overall no connection is found ranging from HPV infection and you can condom explore, whenever bookkeeping to have relationship position, members have been unmarried or in common-law unions, condom play with are on the all the way down infectivity (Fisher’s X dos = 5.852; p = 0.026; V Cramer = ? 0.293; p = 0.016). For hitched female, which organization wasn’t receive (X 2 = 1.231; p = 0.412).
357), knowledge about HPV (X 2 = 0.261; p = 0.610), gynecological medical care (X 2 = 0.141; p = 0.708), place of household (X 2 = 0.369; p = 0.562), knowledge top (X dos = 0.188; p = 0.664), alcoholic beverages (X 2 = 0.669; p = 0.413), age groups (X dos = dos.033; p = 0.362), prior STIs (X 2 = step one.553; p = 0.276), regularity from sexual intercourse (X 2 = 0.701; p = 0.441), and you may relationship condition (X 2 = 1.528; p = 0.250). These people were perhaps not associated with HPV issues regarding the attempt examined.
Binary logistic regression verified an association ranging from parity, immunosuppression symptoms, access to dental contraceptives/IUDs, and you can positive HPV infection. All of those other variables was omitted with their reduced statistical relevance (p > 0.050) otherwise reasonable predictive stamina that have a non-high Or. No confounding or telecommunications parameters was indeed located. The advantages of your model gotten by binary logistic regression are shown inside Dining table step 3.
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