RESUMEN
Background: We systematically reviewed (evaluated methodological quality) meta-analysis studies on the suicidal ideation of South Koreans using a measurement tool to assess systematic reviews version 2 (AMSTAR-2) to present the ways for improving the quality of follow-up meta-analysis studies and suggest the direction of future studies. Methods: We analyzed 11 meta-analysis studies based on AMSTAR-2 criteria by collecting documents related to suicidal thoughts using seven electronic databases (DBPia, Scholar, KISS, KCI, RISS, KoreaEmbase, and National Assembly Electronic Library) from Jan 1, 2000 to Dec 3, 2022. Results: Among the 142 papers searched, we analyzed the final 11 selected studies. Not all analyzed meta-analysis studies conducted quality assessment and these studies omitted the list of excluded references and the adequacy of the literature search. Moreover, 54.5% of the analyzed studies (six out of eleven studies) did not present the effect of publication bias. Consequently, SOMETHING was critically low due to omissions in critical domains. Conclusion: In all 11 studies analyzed, 2 or more of 7 critical domains were omitted, and the quality level was confirmed to be critically low. Therefore, future meta-analysis studies on suicidal ideation will have to include quality assessment and improve the quality of meta-analysis, such as testing bias effects.
RESUMEN
This study aimed to test a predictive model for depression in older adults in the community after the COVID-19 pandemic and identify influencing factors using the International Classification of Functioning, Disability, and Health (ICF). The subjects of this study were 9920 older adults in South Korean local communities. The analysis results of path analysis and bootstrapping analysis revealed that subjective health status, instrumental activities of daily living (IADL), number of chronic diseases, social support satisfaction, household economic level, informal support, and participation in social groups were factors directly influencing depression, while formal support, age, gender, education level, employment status, and participation in social groups were factors indirectly affecting it. It will be needed to prepare measures to prevent depression in older adults during an infectious disease pandemic, such as the COVID-19 pandemic, based on the results of this study.
RESUMEN
Since workers who have experienced industrial accidents may have a physical impairment, their workload is very likely to be less than before the industrial accident. This epidemiological study identified ICF-based predictive factors affecting the work performance of South Korean workers who were economically active after undergoing medical treatment (rehabilitation) related to injuries caused by industrial accidents by using the Panel Study of Worker's Compensation Insurance (2018-2020) as a reference. We analyzed 1383 subjects who were engaged in economic activities. The explanatory variables included participation factors, activity factors, personal factors, physical function factors, and rehabilitation service factors. The outcome variables were defined by subjective evaluations of current job performance (0 and 10 points). This study analyzed the trajectory of change in work performance and change function predictors over time by using latent growth modeling (LGM). This study found mental activity, indoor activity, occupational activity, disability grade, socioeconomic status, the length of recuperation, self-esteem, and self-efficacy as significant predictors. The results of this study suggested that it would be necessary to prepare a systematic program that considers activity factors to support the independent daily life activities and social participation of workers injured by industrial accidents.
