Ms. Leena Mathew Ms. Leena Mathew, Dr. Bimla Rani rani
{"title":"KNOWLEDGE REGARDINGBREAST CANCER AND BREAST SELF EXAMINATION AMONG FEMALES","authors":"Ms. Leena Mathew Ms. Leena Mathew, Dr. Bimla Rani rani","doi":"10.47211/idcij.2021.v08i03.007","DOIUrl":null,"url":null,"abstract":"Background: Breast cancer is one of the most frequent cancers among the women. It can be detected earlier and \nsurvival rate can be improved by screening every year. Breast Self-Examination (BSE) is the one of the best method s\nfor identifying breast cancer. Rural population has less access to medical facilities and their knowledge is low. \nTherefore, it is essential to educate them about breast cancer, its prevention and early detection. This study was \naimed to assess the knowledge level of females regarding breast cancer and breast self-examination. Materials &\nMethods: Non experimental descriptive design was adopted for this study. 80 samples were selected through non \nprobability sampling technique and the setting of the study was a rural community of Idukki district, Kerala. A \nstructured knowledge questionnaire was used for data collection. Descriptive and inferential statistics were used to \nanalyse the data. Results: Majority, 57.5% of samples were having an average level of knowledge, 27.5% of samples\nhad good level of knowledge and 8.7% of samples had poor knowledge and 7.5% was found havingexcellent level of \nknowledge. A significant association was observed between the knowledge and education (X2=14.061, P 0.05=12.54), \nknowledge and income (X2 =14.42, P 0.05=12.59) of women. But there was no association found between knowledge \nand other demographic variables.","PeriodicalId":417882,"journal":{"name":"IDC International Journal","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IDC International Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47211/idcij.2021.v08i03.007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Breast cancer is one of the most frequent cancers among the women. It can be detected earlier and
survival rate can be improved by screening every year. Breast Self-Examination (BSE) is the one of the best method s
for identifying breast cancer. Rural population has less access to medical facilities and their knowledge is low.
Therefore, it is essential to educate them about breast cancer, its prevention and early detection. This study was
aimed to assess the knowledge level of females regarding breast cancer and breast self-examination. Materials &
Methods: Non experimental descriptive design was adopted for this study. 80 samples were selected through non
probability sampling technique and the setting of the study was a rural community of Idukki district, Kerala. A
structured knowledge questionnaire was used for data collection. Descriptive and inferential statistics were used to
analyse the data. Results: Majority, 57.5% of samples were having an average level of knowledge, 27.5% of samples
had good level of knowledge and 8.7% of samples had poor knowledge and 7.5% was found havingexcellent level of
knowledge. A significant association was observed between the knowledge and education (X2=14.061, P 0.05=12.54),
knowledge and income (X2 =14.42, P 0.05=12.59) of women. But there was no association found between knowledge
and other demographic variables.
背景:乳腺癌是女性中最常见的癌症之一。通过每年的筛查,可以及早发现并提高生存率。乳房自检(BSE)是识别乳腺癌的最佳方法之一。农村人口利用医疗设施的机会较少,知识水平较低。因此,教育她们了解乳腺癌及其预防和早期发现是至关重要的。本研究旨在评估女性对乳腺癌及乳房自检的知识水平。材料与方法:本研究采用非实验描述性设计。采用非概率抽样技术选取80个样本,研究地点为喀拉拉邦伊杜基县的一个农村社区。采用结构化知识问卷进行数据收集。采用描述性统计和推断性统计对数据进行分析。结果:57.5%的样本知识水平一般,27.5%的样本知识水平较好,8.7%的样本知识水平较差,7.5%的样本知识水平优良。女性的知识与教育程度(X2=14.061, P 0.05=12.54)、知识与收入(X2= 14.42, P 0.05=12.59)存在显著相关。但没有发现知识和其他人口变量之间的联系。