ABSTRACT
Background Cervical lesions, often linked to high-risk human papillomavirus (HR-HPV) infection, pose a significant public health concern globally. Human HPV is considered the principal etiological factor in the development and transformation of pre-malignant lesions of the cervix leading to cervical carcinoma. The global distribution of HPV genotypes exhibits significant variability, liable to be influenced by the intricate interplay of geographical and biological factors among different HPV types and host immunogenetic elements. Owing to limited research addressing the genotypic distribution of HR-HPV in females with cervical lesions in the western zone of India, this study aims to bridge this gap by providing the prevalence of HR-HPV genotypes in women diagnosed with cervical lesions in this zone. Methodology This observational, cross-sectional study was performed in the Laboratory for Genotype Detection in the western zone of India. The study population comprised a total of 215 females in the age range of 18 to 60 years. A thorough examination of clinical specimens was conducted employing molecular techniques for HPV genotyping using TRUPCR® HPV-HR with a 16/18 Genotyping Kit. DNA Extraction was done using 3B Blackbio Biotech India Ltd. as per the standard protocol. The statistical analysis was performed using SPSS version 28 (IBM Corp., Armonk, NY, USA), and continuous variables were compared using Student's t-test. Results The overall prevalence of HR-HPV in women with cervical lesions in the western zone of India was 62.32% (134/215). The most prevalent genotype was HPV16 at 92/134 (68.65%), followed by HPV18 at 33/134 (24.62%) and HPV52 at 9/134 (6.7%). The overall prevalence of single type was 56.71% (76/134). The most prevalent genotype combination after HPV18 + 59 (29.85%) at 40/134 was HPV52 + 39 + 51 (13.43%) at 18/134. HR-HPV infection was found to be significantly (p < 0.05) associated with factors such as having three or more children, having a lower socioeconomic status, residing in rural areas, and being in a pre-menopausal stage. Conclusions This study focused on assessing the prevalence of the genotypes associated with HR-HPV infection, providing valuable insights into the epidemiology of cervical lesions in the western zone of India. The findings revealed high-risk genotype HPV16 to be the most prevalent type, followed by HPV18 and HPV52. The most prevalent genotype combinations were HPV18 + 59 and HPV52 + 39 + 51. The results of the study would potentiate the wealth of epidemiological data related to HPV infection in cervical lesions and could be employed for guiding future interventions and preventive strategies through orientation programs.
ABSTRACT
Studying medicine at university requires hard work and motivation. The medical school curriculum is vast, and as well as being academically rigorous, also holds emotional challenges. This can predispose students to mental health issues, which include depression and suicidal thinking. Since these are significant issues, we feel it is important to highlight the reasons behind them, and the options available to students to deal with them.
ABSTRACT
BACKGROUND: Mobile health (mHealth) apps can offer users numerous benefits, representing a feasible and acceptable means of administering health interventions such as cognitive behavioral therapy (CBT). CBT is commonly used in the treatment of mental health conditions, where it has a strong evidence base, suggesting that it represents an effective method to elicit health behavior change. More importantly, CBT has proved to be effective in smoking cessation, in the context of smoking-related costs to the National Health Service (NHS) having been estimated to be as high as £2.6bn in 2015. Although the evidence base for computerized CBT in mental health is strong, there is limited literature on its use in smoking cessation. This, combined with the cost-effectiveness of mHealth interventions, advocates a need for research into the effectiveness of CBT-based smoking cessation apps. OBJECTIVE: The objective of this study was, first, to explore participants' perceptions of 2 mHealth apps, a CBT-based app, Quit Genius, and a non-CBT-based app, NHS Smokefree, over a variety of themes. Second, the study aimed to investigate the perceptions and health behavior of users of each app with respect to smoking cessation. METHODS: A qualitative short-term longitudinal study was conducted, using a sample of 29 smokers allocated to one of the 2 apps, Quit Genius or Smokefree. Each user underwent 2 one-to-one semistructured interviews, 1 week apart. Thematic analysis was carried out, and important themes were identified. Descriptive statistics regarding participants' perceptions and health behavior in relation to smoking cessation are also provided. RESULTS: The thematic analysis resulted in five higher themes and several subthemes. Participants were generally more positive about Quit Genius's features, as well as about its design and information engagement and quality. Quit Genius users reported increased motivation to quit smoking, as well as greater willingness to continue using their allocated app after 1 week. Moreover, these participants demonstrated preliminary changes in their smoking behavior, although this was in the context of our limited sample, not yet allowing for the finding to be generalizable. CONCLUSIONS: Our findings underscore the use of CBT in the context of mHealth apps as a feasible and potentially effective smoking cessation tool. mHealth apps must be well developed, preferably with an underlying behavioral change mechanism, to promote positive health behavior change. Digital CBT has the potential to become a powerful tool in overcoming current health care challenges. The present results should be replicated in a wider sample using the apps for a longer period so as to allow for generalizability. Further research is also needed to focus on the effect of greater personalization on behavioral change and on understanding the psychological barriers to the adoption of new mHealth solutions.
