Objectives
This study aimed to examine the effectiveness of resistance training on hemoglobin A1c (HbA1c) levels and body mass index in patients with diabetes mellitus, categorized by age.
Methods
A comprehensive search of English-language literature published between 1997 and 2025 was performed across 6 databases (Embase, CINAHL, Medline, Cochrane, PubMed, and PEDro). Standardized mean differences and 95% confidence intervals were calculated, and publication bias was assessed using funnel plots and Egger’s test. The Joanna Briggs Institute checklist was applied to evaluate study quality.
Results
Thirty randomized controlled trials met the inclusion criteria, comprising 620 participants in the older (<60 years of age) subgroup and 1,389 in the middle-aged (40–59 years of age) subgroup. In both subgroups, resistance training significantly reduced HbA1c levels and body mass index, while increasing muscle strength (primary outcome). It also significantly increased high-density lipoprotein, improved VO₂ peak, and reduced low-density lipoprotein (secondary outcomes). However, the effects of resistance training were significant only in the older-adult subgroup for total cholesterol and only in the middle-aged subgroup for triglycerides.
Conclusion
Resistance training is a recommended rehabilitation exercise for patients with diabetes mellitus. Routine resistance training has been shown to help maintain optimal HbA1c and body mass index levels and improve muscle strength. In addition, it does not pose a risk of adverse events in either middle-aged or older patients. Nonetheless, patients are advised to monitor blood glucose levels and adhere to a proper diet to achieve optimal outcomes.

Objectives
This study aimed to examine trends and factors associated with severe physical and psychological consequences following induced abortion among women in the Republic of Korea.
Methods
An online survey was conducted of adolescent and adult Korean women aged 13 to 64 years, termed the 2022 Sex and Reproductive Health Survey. Respondents who reported a history of induced abortion were analyzed. Logistic regression models that accounted for individual risk factors were fitted to calculate adjusted odds ratios (aOR).
Results
The prevalence of induced abortion was 20.1% (914 of 4,552 respondents). The most frequent indications for abortion were social reasons, and across all periods, approximately half of the women or more reported non-medical challenges at the time of their most recent abortion. Severe physical and psychological sequelae after abortion increased 5-fold from 1980–1992 to 2013–2022. Among those whose most recent abortion occurred in 2003 or later, the risk of severe psychological sequelae was higher in 2013–2022, after the Korean Constitutional Court upheld the existing criminal codes, than in 2003–2012 (aOR, 2.31; 95% confidence interval, 1.09–4.91).
Conclusion
In the absence of institutionalized safe and respectful abortion services, severe physical and psychological sequelae among women who underwent induced abortion were more likely to occur. These findings highlight the importance of safe, affordable, nondiscriminatory, and respectful abortion care.

Objectives
Although family members of persons with disabilities face elevated suicide risk, predictive models remain underdeveloped in Korean contexts. This study aimed to develop machine learning–based predictive models for suicidal ideation among family members of persons with disabilities and examine differential risk patterns by disability onset type.
Methods
This cross-sectional study analyzed 124,783 adult family members (59.9% spouses, 20.3% parents/ascendants, 14.6% adult children, 5.2% extended family) from the 2018 Korean Disability and Life Dynamics Panel using survey weights. Four predictive models, including machine learning approaches, were compared using 31 variables. The dataset was divided into training (70%) and test (30%) sets, with stratified analyses comparing congenital and acquired disability groups.
Results
Among the 124,783 family members analyzed, least absolute shrinkage and selection operator (LASSO) with cross-validation achieved optimal performance (area under the receiver operating characteristic curve, 0.875 training; 0.853 test). LASSO selected 16 of 31 variables for the total sample, with family members’ depression as the strongest predictor (β=0.554), followed by disabled persons’ suicidal ideation (β=0.425). Stratified LASSO analyses revealed that national basic livelihood beneficiary status was the strongest predictor for families with congenital disability (β=0.541), while family members’ depression was the strongest predictor for families with acquired disability (β=0.562), demonstrating distinct predictive patterns by disability onset.
Conclusion
These findings show that predictive factors differ substantially by disability onset type, indicating the need for tailored intervention approaches and offering an evidence-based foundation for targeted suicide prevention strategies.

Objectives
This study aimed to analyze the epidemiology and trends of hemorrhagic fever with renal syndrome (HFRS) in Weifang, China (2013–2021) and to guide prevention strategies.
Methods
The study examined the prevalence and incidence trends of HFRS in Weifang (2013–2021). Spearman correlation and wavelet analysis were employed to explore variable relationships and their associations with HFRS incidence. Generalized additive models (GAMs) were used to identify key risk factors, while structural equation modeling (SEM) quantified direct and indirect pathways influencing HFRS transmission. Finally, Bayesian time-series models were applied to predict future HFRS risk.
Results
Weifang reported 2,118 HFRS cases, which displayed distinct seasonality. Spearman correlation linked economic factors (gross domestic product [GDP], crop area, grain output, green space) and meteorological factors (temperature, pressure) to incidence (r>0.8). Wavelet analysis identified Mus musculus (2013–2016) and Rattus norvegicus (2017–2021) as dominant reservoirs, with temperature, precipitation, and humidity correlating with incidence. GAMs revealed a U-shaped relationship between rodent density and HFRS and an inverted U-shaped relationship between temperature (threshold, 11.64 °C) and HFRS. SEM highlighted the direct and indirect effects of climate via rodent density, mirrored by economic factors (e.g., GDP). Bayesian models effectively predicted HFRS (root mean square error, 7.36; mean absolute percentage error, 0.28; R2=0.65).
Conclusion
Climate, economic, and anthropogenic factors drive the spread of HFRS. Prevention strategies should integrate local economic conditions with meteorological and anthropogenic factors. Bayesian time-series modeling effectively predicts HFRS trends, supporting precision prevention strategies.

Objectives
This study evaluated the effectiveness of rapid diagnostic testing (RDT) for the early detection of imported dengue cases at Gimhae International Airport in the Republic of Korea, and analyzed patient characteristics and response processes following positive results.
Methods
From 2022 to 2024, 334 individuals underwent RDT at the airport. Testing was performed for travelers presenting with dengue-like symptoms or recent mosquito bites. Two dengue RDT kits (NS1 and immunoglobulin G/M) were used, and confirmatory tests—including real-time reverse transcription polymerase chain reaction and enzyme-linked immunosorbent assays—were performed for RDT-positive cases. Time intervals between sample collection and diagnostic confirmation were compared by institution type and day of the week.
Results
Of the 334 cases tested, 12 yielded positive RDT results, and 3 were confirmed as dengue. No confirmed cases were identified among asymptomatic travelers or those with travel durations shorter than 5 days. All 3 confirmed cases showed moderate or higher RDT intensity. The confirmatory results were negative for all 7 marginally positive cases. The average turnaround time for diagnostic confirmation was 4.00 days in hospitals versus 2.71 days in public health centers. Samples collected on weekdays produced faster results (2.33 days) than those collected across weekends (5.00 days). One individual with a strong RDT-positive result declined confirmatory testing.
Conclusion
RDT is a valuable tool for detecting dengue at ports of entry. However, timely confirmatory diagnosis requires improved inter-agency coordination and logistical systems, particularly for weekend operations. These findings offer practical insights for strengthening quarantine-based infectious disease control.