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Braz. j. med. biol. res ; 49(6): e5254, 2016. tab, graf
Artigo em Inglês | LILACS | ID: biblio-951684

RESUMO

This study was designed to investigate and compare the HPV prevalence, genotypes distribution and associated risk factors in rural and urban women living in Xishuang Banna district, in the province of Yunnan. A total of 177 and 190 women from rural and urban areas were engaged, respectively. HPV DNA was amplified using the L1 consensus primers system (MY09/11 and GP5/6) and HPV GenoArray test was conducted for genotyping. Proportions were compared by chi-square test, and logistic regression was used to evaluate risk factors. A total of 54 women were positive for HPV DNA. Among rural women, 23 women were positive for HPV infection, of which 21 showed a single infection and 2 had a multiple infection. HPV-16 (10/23) was the most prevalent genotype followed by HPV-52 (5/23), and HPV-58 (5/23). Urban women had a higher infection rate for overall HPV (31/54) and for multiple genotype infection (8/31). HPV-52 (9/31) was the most prevalent genotype followed by HPV-39 (7/31) and HPV-68 (5/31). The age-specific HPV prevalence was also different between rural and urban women. In urban area, women with age <35 years had the highest HPV prevalence, which declined thereafter as age advanced. However, in rural women the highest HPV prevalence was observed in an older age group (>56 years). Ethnicity, smoking and parity were significantly associated with HPV infection among urban women. Our study demonstrates that HPV prevalence and genotype distribution varies among women from rural and urban areas in the south of Yunnan.


Assuntos
Humanos , Feminino , Adulto , Pessoa de Meia-Idade , Papillomaviridae/isolamento & purificação , População Rural/estatística & dados numéricos , População Urbana/estatística & dados numéricos , Infecções por Papillomavirus/epidemiologia , Papillomaviridae/patogenicidade , China/epidemiologia , Reação em Cadeia da Polimerase , Prevalência , Fatores de Risco , Fatores Etários , Distribuição por Sexo , Medição de Risco , Genótipo
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