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Examination Thesis from the year 2020 in the subject Health - Miscellaneous, language: English, abstract: The objective of this study is to assess the knowledge and practice of menstrual hygiene among high school girls at Oforikrom, Kumasi. The issue of menstrual hygiene is inadequately acknowledged and has not received proper attention. Use of sanitary pads and washing the genital area are essential practices to keep the menstrual hygiene. Unhygienic menstrual practices can affect the health of the girls and there is an increased vulnerability to reproductive tract infections and pelvic inflammatory diseases and other complications. A school based cross-sectional study design was employed in the study. A multi stage sampling technique was used to select 200 female junior high school students. Data collection was carried out from the students in their schools and homes using a pre- tested structured questionnaire. The data were entered into a computer using Excel and then exported to SPSS for Windows version 22 for analysis. Bivariate and multivariate logistic regression analysis was done at 95 % confidence interval.
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Examination Thesis from the year 2020 in the subject Health - Miscellaneous, language: English, abstract: The objective of this study is to assess the knowledge and practice of menstrual hygiene among high school girls at Oforikrom, Kumasi. The issue of menstrual hygiene is inadequately acknowledged and has not received proper attention. Use of sanitary pads and washing the genital area are essential practices to keep the menstrual hygiene. Unhygienic menstrual practices can affect the health of the girls and there is an increased vulnerability to reproductive tract infections and pelvic inflammatory diseases and other complications. A school based cross-sectional study design was employed in the study. A multi stage sampling technique was used to select 200 female junior high school students. Data collection was carried out from the students in their schools and homes using a pre- tested structured questionnaire. The data were entered into a computer using Excel and then exported to SPSS for Windows version 22 for analysis. Bivariate and multivariate logistic regression analysis was done at 95 % confidence interval.
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