Objectives: This study aimed to examine the association of absolute and relative hand grip strength (HGS) with the risk of all-cause mortality among middle-aged and old-aged people in South Korea. Considering that both absolute HGS and relative HGS could be effective measures, an in-depth investigation is necessary to compare the effects of both measures on mortality. Methods: Data of 9,102 participants, derived from the Korean Longitudinal Study of Aging from 2006 to 2018, were examined. HGS was divided into two categories: absolute HGS and relative HGS (defined as HGS divided by body mass index). The risk of all-cause mortality was the dependent variable. Cox proportional hazard regression was used to analyze the association between HGS and all-cause mortality. Results: The average of absolute and relative HGS were 25.6 ± 8.7 kg and 1.1 ± 0.4 kg/BMI, respectively. The all-cause mortality rate decreased by 3.2% as absolute HGS increased by 1 kg (adjusted hazard ratio [HR] = 0.968, 95% CI = 0.958–0.978). An increase in relative HGS by 1 kg/BMI was associated with a 22% reduction in risk of all-cause mortality (adjusted HR = 0.780, 95% CI = 0.634–0.960). Individuals with more than two chronic diseases, there was a decrease in all-cause mortality as absolute HGS increased by 1 kg and relative HGS by 1 kg/BMI (absolute HGS; adjusted HR = 0.97, 95% CI = 0.959–0.982, relative HGS; adjusted HR = 0.483, 95% CI = 0.325–0.718). Conclusions: Our study findings showed that both absolute and relative HGS were inversely associated with the risk of all-cause mortality; a higher absolute/relative HGS was associated with a lower risk of all-cause mortality. Moreover, these findings highlight the importance of improving HGS to alleviate the burden of adverse health problems.

Background: Alcohol consumption in pregnancy has been associated with serious fetal health risks and maternal complications. While previous systematic reviews of digital interventions during pregnancy have targeted smoking cessation and flu vaccine uptake, few studies have sought to evaluate their effectiveness in preventing alcohol consumption during pregnancy. Objective: This systematic review aims to assess (1) whether digital interventions are effective in preventing alcohol consumption during the pregnancy/pregnancy-planning period, and (2) the differential effectiveness of alternative digital intervention platforms (ie, computers, mobiles, and text messaging services). Methods: PubMed, Embase, CINAHL, and Web of Science were searched for studies with digital interventions aiming to prevent alcohol consumption among pregnant women or women planning to become pregnant. A random effects primary meta-analysis was conducted to estimate the combined effect size and extent to which different digital platforms were successful in preventing alcohol consumption in pregnancy. Results: Six studies were identified and included in the final review. The primary meta-analysis produced a sample-weighted odds ratio (OR) of 0.62 (95% CI 0.42-0.91; P=.02) in favor of digital interventions decreasing the risk of alcohol consumption during pregnancy when compared to controls. Computer/internet-based interventions (OR 0.59, 95% CI 0.38-0.93) were an effective platform for preventing alcohol consumption. Too few studies of text messaging (OR 0.29, 95% CI 0.29-2.52) were available to draw a conclusion. Conclusions: Overall, our review highlights the potential for digital interventions to prevent alcohol consumption among pregnant women and women planning to become pregnant. Considering the advantages of digital interventions in promoting healthy behavioral changes, future research is necessary to understand how certain platforms may increase user engagement and intervention effectiveness to prevent women from consuming alcohol during their pregnancies.

This study aimed to investigate the association among self-evaluations—such as self-esteem and self-efficacy—self report of depression, and perceived stress among Korean individuals with disabilities. Data from the second wave of the Panel Survey of Employment for the Disabled (collected from 2016–2018) were used. In 2016 and the follow-up in 2018, 4,033 participants were included. We estimated the annual change in both independent variables and the probability of self-report of depression and stress. Generalized estimating equation model and chi-square test were used. Compared with those whose self-esteem and self-efficacy scores were ≥30, those with scores ≤19 were, respectively, 5.825 (95% Confidence Interval [CI]: 4.235–8.011; p < .0001) and 1.494 times (95% CI: 1.233–1.810; p < .0001) more likely to have self-report of depression. The perceived stress of those with self-esteem scores ≤19 or ranging from 20–24 were, respectively, 2.036 (95% CI: 1.510–2.747; p < .0001) and 1.451 times higher (95% CI: 1.269–1.659; p < .0001) than those with self-esteem scores ≥30. There exists an inverse correlation between self-evaluations, such as self-efficacy and self-esteem, and mental health in people with disabilities. The results of this study can be used as a basis for developing interventional strategies and training and intervention programs for people with disabilities. Future research is needed to investigate potential mediating factors among Korean individuals.

Owing to the aging population, the prevalence of dementia is increasing worldwide and has become an important public health problem. In 2018, Korea implemented the National Dementia Care Policy to strengthen the management of dementia and reduce its related burden on medical expenses. This study investigated the effect this policy on total and out-of-pocket costs in elderly patients with dementia. Data were from the National Health Insurance System. The study population included 10,549,863 individuals aged 65 years or older, recorded between January 1, 2015, and December 31, 2020. The treatment group comprised of dementia patients and the control group those diagnosed with the five most common diseases found in individuals aged 65 years or above. The difference-in-difference was used to explore changes in total and out-of-pocket healthcare costs per diagnosed case between the treatment and control group before and after the intervention period. Policy implementation was associated with a significant decrease in patient out-of-pocket cost. In the covariate-controlled model, no statistically significant changes were found for total mean healthcare cost. However, patient out-of-pocket cost decreased by 0.05 per diagnosed case. The National Dementia Care Policy led to a reduction in patient out-of-pocket cost in elderly patients with dementia. National policies need to be monitored to reduce the economic burden of patients with dementia while maintaining the financial sustainability of the healthcare system. This research was financially supported by the Ministry of Trade, Industry and Energy (MOTIE) and Korea Planning & Evaluation Institute of Industrial Technology (Project No. 20024263).

Background/Objectives: The clinical impact of automated large vessel occlusion (LVO) detection tools using non-contrast CT (NCCT) is still unknown. We evaluated whether the implementation of Heuron ELVO, an artificial intelligence (AI)-driven software for triage and notification of LVO stroke using NCCT, can reduce treatment times and improve clinical outcomes in a real-world setting. Methods: We compared patients with LVO stroke before (pre-AI cohort, 84 patients) and after (post-AI cohort, 48 patients) the implementation of Heuron ELVO at a comprehensive stroke center. Primary outcomes included time-to-treatment initiation, including door-to-IV tPA and door-to-endovascular thrombectomy (EVT) times. Secondary outcomes measured changes in the National Institute of Health Stroke Scale (NIHSS) and modified Rankin Scale (mRS) scores. Statistical analyses involved multiple linear regression to adjust for confounders. Results: The implementation of Heuron ELVO significantly reduced the door-to-EVT time (30.2 min, 95% CI, −56. to −4.3), CT-to-neurologist examination time (16.4 min, 95% CI, −27.6 to −5.3), and CT-to-EVT time (29.4 min, 95% CI, −53.6 to −5.0). There was no statistical difference in the door-to-IV tPA time (8.9 min). The post-AI cohort exhibited a greater improvement in the NIHSS score compared to the pre-AI cohort, with a reduction of 4.3 points. While the post-AI cohort demonstrated a higher proportion of good outcomes (mRS 0–1, 26% vs. 40%) at the 3-month follow-up, there was no statistical significance. Conclusions: The implementation of Heuron ELVO demonstrated substantial improvements in the timeliness of stroke interventions and patient outcomes. These findings underscore the potential of AI-driven NCCT analysis in enhancing acute stroke workflows and expediting treatments in real-world settings.

Jeon CH, et al. Ann Surg Treat Res. 2022 Apr;102(4):205-213. https://doi.org/10.4174/astr.2022.102.4.205