Objectives This study aimed to explore the effects of a cognitive behavioral therapy (CBT) program on stroke patients, as well as their experiences participating in the program.
Methods This study employed a mixed-methods design, integrating qualitative case studies with quantitative analysis. We included 20 stroke patients, randomly divided into 2 groups of 10 each: an experimental group and a control group. The experimental group underwent a CBT program comprising 20 sessions, in addition to receiving general occupational therapy. Conversely, the control group participated in meditation relaxation sessions alongside their general occupational therapy. Both interventions were administered daily for 60 minutes, 5 days a week, over a 4-week period.
Results After the intervention, the experimental group exhibited significant improvements in depression, anxiety, self-efficacy, and rehabilitation motivation (p<0.01, p<0.05). In contrast, the control group only demonstrated a significant reduction in anxiety (p<0.05). A comparison of the changes between the 2 groups showed significant differences in depression and anxiety (p<0.01), but no significant differences in self-efficacy and rehabilitation motivation (p>0.05). In-depth interviews with 10 participants from the experimental group were conducted and analyzed, revealing 4 core themes: “psychological stability,” “physical symptom relief,” “altered daily routines,” and “challenges and hopes for change.”
Conclusion The findings of this study suggest that CBT programs may serve as a valuable intervention, offering psychological support and rehabilitation for stroke patients.
Objectives In this study, we performed comparative genomic and transcriptomic analysis of clinical isolates of Mycobacterium tuberculosis collected from patients with drug-susceptible tuberculosis (DS-TB). The clinical isolates were categorized based on treatment duration: standard 6 months or >6 months.
Methods Study participants were recruited from a 2016 to 2018 tuberculosis cohort, and clinical M. tuberculosis isolates were collected from the sputum of patients with tuberculosis. We analyzed the genome and transcriptome of the isolated M. tuberculosis.
Results Genomic analysis revealed a specific non-synonymous single-nucleotide polymorphism in pe_pgrs9 and ppe34, exclusive to the group treated for >6 months. Transcriptomic analysis revealed increased expression of various virulence-associated protein family genes and decreased expression of ribosomal protein genes and ppe38 genes in the group treated for >6 months.
Conclusion The identified genetic variation and gene expression patterns may influence treatment outcomes by modulating host immune responses, increasing virulence, and potentially contributing to persister cell formation in M. tuberculosis. This study provides insights into the genetic and transcriptomic factors associated with prolonged DS-TB treatment. However, our study identified molecular characteristics using a small sample size, and further detailed studies are warranted.
Objectives Breast cancer poses a significant global health challenge, characterized by complex origins and the potential for life-threatening metastasis. The critical need for early and accurate detection is underscored by the 685,000 lives claimed by the disease worldwide in 2020. Deep learning has made strides in advancing the prompt diagnosis of breast cancer. However, obstacles persist, such as dealing with high-dimensional data and the risk of overfitting, necessitating fresh approaches to improve accuracy and real-world applicability.
Methods In response to these challenges, we propose BCED-Net, which stands for Breast Cancer Ensemble Diagnosis Network. This innovative framework leverages transfer learning and the extreme gradient boosting (XGBoost) classifier on the Breast Cancer RSNA dataset. Our methodology involved feature extraction using pre-trained models—namely, Resnet50, EfficientnetB3, VGG19, Densenet121, and ConvNeXtTiny—followed by the concatenation of the extracted features. Our most promising configuration combined features extracted from deep convolutional neural networks—namely Resnet50, EfficientnetB3, and ConvNeXtTiny—that were classified using the XGBoost classifier.
Results The ensemble approach demonstrated strong overall performance with an accuracy of 0.89. The precision, recall, and F1-score values, which were all at 0.86, highlight a balanced trade-off between correctly identified positive instances and the ability to capture all actual positive samples.
Conclusion BCED-Net represents a significant leap forward in addressing persistent issues such as the high dimensionality of features and the risk of overfitting.
Objectives Despite effective vaccination strategies, measles remains a global public health challenge. The study explored individual and contextual factors associated with measles infection in Malaysia from 2018 to 2022, informing the development of targeted public health interventions.
Methods This cross-sectional study utilised data from the Ministry of Health, the Department of Statistics, and the Department of Environment Malaysia. Multilevel logistic regression analysis was employed to examine individual-level factors, including age, sex, ethnicity, nationality, contact history, travel history, and vaccination status. Concurrently, contextual factors were assessed, encompassing district-level determinants such as population density, median household income, urbanisation, the number of health and rural clinics, vaccination rates, PM2.5 levels, relative humidity, and temperature, to determine their impact on measles infection risk.
Results Measles infection was significantly associated with various individual factors. These included age (adjusted odds ratio [aOR], 1.02; 95% confidence interval [CI], 1.02–1.03), ethnicity, non-Malaysian nationality (aOR, 34.53; 95% CI, 8.42–141.51), prior contact with a measles case (aOR, 2.36; 95% CI, 2.07–2.69), travel history (aOR, 2.30; 95% CI, 1.13–4.70), and vaccination status (aOR, 0.76; 95% CI, 0.72–0.79). Among contextual factors, urbanisation (aOR, 1.56; 95% CI, 1.16–2.10) and the number of clinics (aOR, 0.98; 95% CI, 0.97–0.99) were significant determinants.
Conclusion This multilevel logistic regression analysis illuminates the complexities of measles transmission, advocating public health interventions tailored to individual and contextual vulnerabilities. The findings highlight the need for a synergistic approach that combines vaccination campaigns, healthcare accessibility improvements, and socioeconomic interventions to effectively combat measles.
Objectives Social activities are important and influential factors for healthy aging. However, limited information is available regarding the associations of the type and intensity of social participation with health and well-being. This study aimed to investigate how various types of social activities are associated with several dimensions of health outcomes.
Methods This cross-sectional study utilized data from the Seventh Korean Longitudinal Study of Aging, which included 5,526 adults aged 60 years and older. Multivariate linear regression analysis was employed to analyze the associations of social activities with depression, self-rated health, and life satisfaction. Additionally, subgroup analyses by sex and age were performed.
Results Among the participants, 73.5% reported involvement in at least 1 of the 4 types of social engagement. After adjustment for all covariates, individuals who participated in any social activity reported better self-rated health and higher life satisfaction compared to those who did not participate. However, the intensity of engagement in different social activities had varying impacts on subjective health outcomes. An increased level of participation was associated with a lower rate of depression and improved self-rated health. However, no significant differences were observed in the relationship between the intensity of participation in activities (with the exception of alumni societies or family councils) and life satisfaction.
Conclusion This study suggests that to improve their health, older adults in the Republic of Korea should not only engage in social activities but also do so actively and regularly.
Objectives The onset of common mental disorders (CMDs) is most prevalent among youth; thus, mental health management is crucial. We examined differences in risk and risk factor determinants regarding CMDs prevalence among youth in rural and urban Indonesia.
Methods This cross-sectional study utilized data from the 2018 Indonesia National Health Survey. The population comprised 122,114 respondents, aged 15 to 24 years, who had completed the 20-item Self-Report Questionnaire along with providing demographic and health behavior data. Chi-square testing and logistic regression were employed for analysis.
Results The CMDs risk was higher among urban than rural youth. Risk factors impacting both populations included being female, having a lower education level, consuming fewer than 7 portions of vegetables weekly, smoking, and drinking alcohol (p<0.05). Consuming under 7 portions of fruit weekly and being in the highest or lowest wealth quintile were significant risk factors only in urban youth, while unemployment and divorce were significant only among rural respondents (p<0.05). Marriage was protective against CMDs among rural participants.
Conclusion Being male, possessing a college degree, consuming at least 7 portions of vegetables weekly, not smoking, and not consuming alcohol were associated with reduced CMDs risk in urban and rural youth. Among rural youth, marriage and employment were linked to decreased risk, whereas divorce displayed the opposite relationship. In urban populations, consuming at least 7 portions of fruit weekly and belonging to neither the highest nor the lowest economic quintile were protective factors. Management strategies for CMDs in young people must address these considerations.
Objectives This study compared the research output of Association of Southeast Asian Nations (ASEAN) countries to understand research trends and clarify past, present, and future patterns using scientometric techniques.
Methods This scientometric study systematically mined health and social science publications from the Web of Science and Scopus databases using keywords associated with infectious disease. The analysis included only English-language articles and review articles by authors from any ASEAN country. Publication, citation, and text co-occurrence network analyses were performed. R Studio and VOSviewer enabled data management, analysis, and visualization.
Results Searches identified 12,511 articles published between 1925 and 2022, with a notable increase in research publications since 2003. The leading journals on infectious disease were associated with established publishing houses, including BMC, BMJ, and The Lancet. The most-cited articles were primarily global burden of disease studies, with 7,367 citations. Among ASEAN countries, Thailand, Malaysia, and Singapore had the most publications and collaborative efforts on the topic. Analysis of keyword co-occurrence revealed clusters related to global health, dengue, bacterial studies, non-dengue viral topics, and diagnostics. Most early studies examined diagnostics, gene and sequencing methodologies, and virology; later, the focus shifted toward herbal and alternative medicine.
Conclusion Recently, the research capacity of Southeast Asia has expanded dramatically, with substantial contributions from high-income countries. Intense cooperation between member states is essential, emphasizing the role of HICs in supporting their neighbors. Increased research efforts and collaboration must be dedicated to innovative approaches to combat persistent health conditions, along with emerging issues like climate change.
Objectives Public health workers have been at the forefront of treating patients with coronavirus disease 2019 (COVID-19) and managing the pandemic. The redeployment of this workforce has limited or interrupted other public health services, including testing for human immunodeficiency virus (HIV). This study aims to examine the impact of COVID-19 on HIV testing and diagnosis in the Republic of Korea from 2016 to 2021, comparing data before and after the onset of COVID-19.
Methods Annual HIV testing data were collected from each institution through direct communication or from open-source databases. The annual number of new HIV cases was obtained from the official report of the Korea Disease Control and Prevention Agency. Data on healthcare visits for HIV diagnosis or treatment were extracted from the open-source database of the National Insurance Health Service of Korea. Interrupted time series regression was conducted, stratified by institution type.
Results In 2020, HIV tests, diagnoses, and visits decreased. Notably, public health centers experienced a substantial reduction in 2020−2021 compared to previous years. The annual percentage change in HIV tests was −53.0%, while for HIV diagnoses, it was −31.6%. The decrease in visits for HIV was also most pronounced for public facilities: −33.3% in 2020 and −45.6% in 2021 relative to 2019.
Conclusion The numbers of tests, diagnoses, and healthcare visits for HIV at public health centers in the Republic of Korea substantially decreased in 2020 and 2021. The impacts of these changes on the early diagnosis and treatment of HIV necessitate further monitoring.
Objectives The prevalence of hepatitis B in the Republic of Korea has declined, yet the disease burden persists. After various changes in targets and methods, the national hepatitis B surveillance system now exclusively monitors acute cases. We aimed to assess the alignment of this system with its intended purpose and to recommend improvements supporting the national strategic plan for viral hepatitis management.
Methods This study assessed acute hepatitis B cases reported to the Korean Disease Control and Prevention Agency’s mandatory surveillance system over a 10-year period (2013–2022). It evaluated 5 factors from the Centers for Disease Control and Prevention’s Updated Guidelines for Evaluating Public Health Surveillance Systems: simplicity, positive predictive value, data quality, timeliness, and usefulness.
Results The nonspecific nature of acute hepatitis B symptoms, along with the complexity of diagnostic criteria, indicated a high potential for misreporting. The surveillance system demonstrated a high positive predictive value (94.4%), with data quality and timeliness also rated high. However, data following the onset of the coronavirus disease 2019 pandemic indicate the need for improvement. Moreover, given the relative importance of specific characteristics of chronic infectious diseases, only limited interventions are implementable through the current surveillance system.
Conclusion The evaluation of the Republic of Korea’s acute hepatitis B surveillance system revealed high positive predictive value, data quality, and timeliness. However, improvements can be made in the misreporting of chronic cases and the system’s usefulness. More accurate reflection of the characteristics of acute hepatitis B cases is essential for better management of viral hepatitis.
Objectives Current tuberculosis (TB) control strategies face limitations, such as low antibiotic treatment compliance and a rise in multidrug resistance. Furthermore, the lack of a safe and effective vaccine compounds these challenges. The limited efficacy of existing vaccines against TB underscores the urgency for innovative strategies, such as immunoinformatics. Consequently, this study aimed to design a targeted multi-epitope vaccine against TB infection utilizing an immunoinformatics approach.
Methods The multi-epitope vaccine targeted Ag85A, Ag85B, ESAT-6, and CFP-10 proteins. The design adopted various immunoinformatics tools for cytotoxic T lymphocyte (CTL), helper T lymphocyte (HTL), and linear B lymphocyte (LBL) epitope prediction, the assessment of vaccine characteristics, structure modeling, population coverage analysis, disulfide engineering, solubility prediction, molecular docking/dynamics with toll-like receptors (TLRs), codon optimization/cloning, and immune simulation.
Results The multi-epitope vaccine, which was assembled using 12 CTL, 25 HTL, and 21 LBL epitopes associated with CpG adjuvants, showed promising characteristics. The immunoinformatics analysis confirmed the antigenicity, immunogenicity, and lack of allergenicity. Physicochemical evaluations indicated that the proteins were stable, thermostable, hydrophilic, and highly soluble. Docking simulations suggested high-affinity binding to TLRs, including TLR2, TLR4, and TLR9. In silico immune simulation predicted strong T cell (cytokine release) and B cell (immunoglobulin release) responses.
Conclusion This immunoinformatics-designed multi-epitope vaccine targeting Ag85A, Ag85B, ESAT-6, and CFP-10 proteins showed promising characteristics in terms of stability, immunogenicity, antigenicity, solubility, and predicted induction of humoral and adaptive immune responses. This suggests its potential as a prophylactic and therapeutic vaccine against TB.
Objectives This study aimed to identify the optimal protein construction for designing a multi-epitope vaccine with both prophylactic and therapeutic effects against cervical cancer, utilizing an immunoinformatics approach. The construction process involved using capsid epitopes L1 and L2, as well as oncoproteins E5, E6, and E7 from human papillomavirus (HPV) types 16 and 18.
Methods An experimental in silico analysis with an immunoinformatics approach was used to develop 2 multi-epitope vaccine constructs (A and B). Further analysis was then conducted to compare the constructs and select the one with the highest potential against cervical cancer.
Results This study produced 2 antigenic, non-allergenic, and nontoxic multi-epitope vaccine constructs (A and B), which exhibited the ideal physicochemical properties for a vaccine. Further analysis revealed that construct B effectively induced both cellular and humoral immune responses.
Conclusion The multi-epitope vaccine construct B for HPV 16 and 18, designed for both prophylactic and therapeutic purposes, met the development criteria for a cervical cancer vaccine. However, these findings need to be validated through in vitro and in vivo experiments.
The extensive history of pandemics has spanned many centuries, profoundly impacting societies, economies, and public health, and thereby shaping the course of history in various ways. Advances in medicine, science, and public health practices have played a pivotal role in mitigating the effects of pandemics over time. This review explores the scientific landscape of contemporary pandemics, examining their diverse and complex nature. It goes beyond the biological aspects of pandemics to consider socioeconomic, environmental, and technological factors. Through a scientific lens, this study aims to understand the complexities of pandemics and contribute to the expanding knowledge base that helps humanity strengthen its defenses against global health threats. By elucidating the enigmas of pandemics, the study hopes to foster a more resilient and prepared global health environment. Highlighting the importance of a multidisciplinary, cross-disciplinary, and transdisciplinary approach, this exploration emphasizes the critical need to integrate biological, socioeconomic, environmental, and technological domains to develop more robust defenses against these global health challenges.
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Objectives No study has yet analyzed risk factors to determine whether students with confirmed coronavirus disease 2019 (COVID-19) infections may affect students at neighboring schools. Therefore, this study aimed to determine risk factors for COVID-19 transmission among schools within a community in the Republic of Korea.
Methods An epidemiological investigation was conducted among 696 students and school staff members at 3 schools where COVID-19 clusters began on October 15, 2021. Interviews, visit history surveys, a facility risk assessment, and closed-circuit television were used to identify risk factors. The statistical significance of risk factors was also evaluated.
Results We confirmed 129 cases (18.5%) among the individuals exposed to COVID-19 at the 3 schools, many of whom had a history of visiting the same multi-use facilities. The odds ratio of having visited multi-use facilities such as karaoke rooms was 1.90 (95% confidence interval, 1.03–3.50); the number of visits to a karaoke room and the visit durations were significantly higher among confirmed cases than non-confirmed cases (p=0.02 and p=0.03, respectively).
Conclusion Having a history of visiting karaoke rooms often and spending a long time there were risk factors for COVID-19 infection and inter-school transmission. Thus, it is necessary to investigate the status of multi-use facilities frequently visited by adolescents and consider incorporating them into the scope of school quarantine to prevent infectious diseases at schools in a community.
Objectives This study analyzed the safety of coronavirus disease 2019 (COVID-19) bivalent and monovalent booster vaccines, including the frequency of adverse events (AEs) such as myocarditis and pericarditis, in adolescents aged 12 to 17 years in the Republic of Korea. We aimed to share the safety profile of the COVID-19 bivalent vaccine booster doses.
Methods We analyzed the frequencies of AEs reported to the COVID-19 vaccination management system (CVMS) or self-reported through the text message survey (TMS). Diagnostic eligibility and causality with vaccines were compared using odds ratios (ORs) by vaccine type, and incidence rates per 100,000 person-days were calculated for confirmed cases of myocarditis and pericarditis following monovalent and bivalent booster doses.
Results In the CVMS, the AE reporting rate (per 100,000 doses) was lower after the bivalent booster (66.5) than after the monovalent booster (264.6). Among the AEs reported for both monovalent and bivalent vaccines 98.3% were non-serious and 1.7% were serious. According to the TMS, both local and systemic AEs were reported less frequently after the bivalent vaccination than after the monovalent vaccination in adolescents aged 12 to 17 years (p<0.001). The incidence rates per 100,000 person-days for confirmed myocarditis/pericarditis following monovalent and bivalent booster doses were 0.03 and 0.05, respectively; this difference was not statistically significant (OR, 1.797; 95% confidence interval, 0.210–15.386).
Conclusion AEs in 12- to 17-year-olds following the bivalent booster were less frequent than those following the monovalent booster in the Republic of Korea, and no major safety issues were identified. However, the reporting rates for AEs were low.
Gustavo Vital de Mendonça, Crispim Cerutti Junior, Alfredo Carlos Rodrigues Feitosa, Brígida Franco Sampaio de Mendonça, Lucia Helena Sagrillo Pimassoni
Osong Public Health Res Perspect. 2024;15(3):212-220. Published online June 27, 2024
Objectives The objective of this study was to examine the hypothesis that periodontal disease is associated with chronic non-communicable diseases. Methods: In this cross-sectional study, we evaluated the periodontal health condition of the population, based on the community periodontal index, as well as the number of missing teeth and the presence of systemic health conditions. We quantified the association between oral health and the presence of chronic diseases using simple logistic regression, adjusting for confounding factors including age, smoking, and overweight. Results: The study population consisted of 334 volunteers, aged between 19 and 81 years. In patients over 45 years old, periodontal disease was found to be significantly associated with hypertension and diabetes. Furthermore, in female patients, periodontal disease was significantly associated with hypertension, diabetes, and cancer. Conclusion: Our findings indicate that periodontal disease is positively and significantly associated with both arterial hypertension and diabetes, independent of potential confounding factors.