Cervical Cancer and Human Papillomavirus Awareness among Women in Saudi Arabia.
Khalid M AkkourLolowah AlghusonAfshan MasoodHani AlhalalNada AlayedAmal AlQarniMaria A ArafahPublished in: Medicina (Kaunas, Lithuania) (2021)
Background and Objectives : Cervical cancer (CC) is the eighth most common cancer among Saudi women of all ages. With limited national data, we aimed to evaluate the public awareness of cervical cancer, CC risk factors, HPV infection, and HPV vaccines in different regions of Saudi Arabia. Materials and Methods: This was a survey-based cross-sectional study that encompassed 564 Saudi women over a period of a month. A self-administrated questionnaire was distributed through different social media platforms. Results: The collected data included sociodemographic variables and questions assessing awareness of CC, and the attitudes toward CC screening and human papillomavirus (HPV) vaccination. Most respondents were aware of CC (84.0%), although their primary source of information was the internet. However, only 45 females (8.0%) had a history of cervical screening. Furthermore, most females did not know that HPV was transmitted sexually (78.9%), or that it caused genital warts (81.7%) and CC (81.9%). Regarding the HPV vaccine, 100 females (17.7%) had heard about it, but only 11 (2.0%) took the vaccine, although more than half of the respondents (54.1%) were willing to take the vaccine after being informed about it. Conclusions : We noticed a remarkable lack of awareness among the respondents regarding HPV's clinical implications; and the HPV vaccine, and its importance and availability. The main source of information for most of the Saudi women in this study was the internet, which may be an unreliable source, or provide misleading information that may delay screening or discourage vaccination. Thus, organized campaigns by the Ministry of Health or other health-advocating agencies, in addition to screening and vaccination programs, are strongly encouraged.
Keyphrases
- cervical cancer screening
- health information
- high grade
- social media
- saudi arabia
- polycystic ovary syndrome
- healthcare
- public health
- risk factors
- mental health
- pregnancy outcomes
- machine learning
- type diabetes
- emergency department
- big data
- risk assessment
- young adults
- skeletal muscle
- adipose tissue
- breast cancer risk
- deep learning
- psychometric properties
- lymph node metastasis