Objectives
The coronavirus disease 2019 (COVID-19) pandemic disrupted healthcare systems and may have influenced the direction of cancer research, particularly epidemiology and prevention research. However, empirical evidence regarding changes in research topics during the COVID-19 era remains limited.
Methods
We analyzed 8,694 articles published from 2016 to 2025 in 3 journals using PubMed bibliographic data. Latent Dirichlet allocation topic modeling identified 10 thematic clusters. Differences in topic distributions between the pre-pandemic (2016–2019) and post-pandemic-onset (2020–2025) periods were assessed using the Pearson chi-square test and logistic regression. Interaction models assessed whether temporal changes differed among journals.
Results
The overall distribution of topics differed significantly between the 2 periods (χ²=21.42, p=0.011). Logistic regression indicated modestly higher odds of classification as Topic 7, the representative topic of interest, during the 2020–2025 period (β=0.168, p=0.013; odds ratio≈1.18). Interaction analysis showed that this temporal change differed by journal: the interaction was significant for Cancer Epidemiology, Biomarkers & Prevention relative to the reference journal (British Journal of Cancer; β=−0.959, p<0.001) but not for European Journal of Cancer Prevention (p=0.269). Collectively, these findings indicate selective thematic reorientation rather than wholesale transformation of cancer research agendas, with changes varying according to journal scope and disciplinary focus.
Conclusion
Cancer research topics shifted modestly during the COVID-19 era, with heterogeneous patterns among journals. These findings suggest that major global health crises may be associated with shifts in research agendas, although these changes may vary according to journal scope and disciplinary context.

<sec> <title>Objectives</title> <p>This research aimed to understand the popularity of topics in the field of women’s health through analysis of online news articles which were chronologically classified and examined to determine how women’s health and diseases had changed over time.</p></sec> <sec> <title>Methods</title> <p>Women’s health and disease news articles were collated from a popular news website between 1993 to 2015 and preprocessed using gynecological medical terminology, Korean words and nouns (excluding general nouns not related to women’s healthcare topics). The resultant articles (N = 7,710) were analyzed using the Latent Dirichlet Allocation algorithm and major topics were extracted. Topic trends were analyzed by year and period for women’s health.</p></sec> <sec> <title>Results</title> <p>It was observed that most of the women’s health articles were focused on “Healthcare”, and 9 other topics were identified that represented a relatively small proportion in 1993–2000. In 2001–2005, most of the articles were focused on “Medical Services” and “Dietary Supplements” with some specific topics that peaked people’s interest, as compared to those focused on “Healthcare” in the 1990s. It was also observed that differences in the proportion of each topic was small after 2011.</p></sec> <sec> <title>Conclusion</title> <p>Changes in topics related to women’s disease were not clearly distinguished in the 1990s but this changed from 2001where articles related to “women disease” appeared as articles on the topics of various diseases.</p></sec>

<sec> <title>Objectives</title> <p>This study aimed to develop a high-risk drinking scorecard using cross-sectional data from the 2014 Korea Community Health Survey.</p></sec> <sec> <title>Methods</title> <p>Data were collected from records for 149,592 subjects who had participated in the Korea Community Health Survey conducted from 2014. The scorecard model was developed using data mining, a scorecard and points to double the odds approach for weighted multiple logistic regression.</p></sec> <sec> <title>Results</title> <p>This study found that there were many major influencing factors for high-risk drinkers which included gender, age, educational level, occupation, whether they received health check-ups, depressive symptoms, over-moderate physical activity, mental stress, smoking status, obese status, and regular breakfast. Men in their thirties to fifties had a high risk of being a drinker and the risks in office workers and sales workers were high. Those individuals who were current smokers had a higher risk of drinking. In the scorecard results, the highest score range was observed for gender, age, educational level, and smoking status, suggesting that these were the most important risk factors.</p></sec> <sec> <title>Conclusion</title> <p>A credit risk scorecard system can be applied to quantify the scoring method, not only to help the medical service provider to understand the meaning, but also to help the general public to understand the danger of high-risk drinking more easily.</p></sec>