Objectives: This study was performed to investigate the prevalence of falls, mental health issues, and health behaviors among older adults, as well as to analyze the association between multiple falls and mental health status in this population. Methods: We utilized data from the 2017, 2019, and 2021 Korean Community Health Survey, a nationwide survey organized by region and conducted by the Korea Disease Control and Prevention Agency. Participants were categorized into no-fall, single-fall, and multiple fall groups based on responses to an index question regarding fall experiences and the number of such incidents reported in the survey. The chi-square test was applied to understand the characteristics of the elderly population in the community. Subsequently, multinomial logistic regression analysis was conducted to clarify the association between falls and mental health. Results: Integrated data analysis revealed that 11.3% of participants experienced a single fall, while 5.7% reported multiple falls. Participants from low-education and low-income backgrounds exhibited relatively high rates of falls. Additionally, non-drinkers and non-smokers reported falls more frequently than their counterparts who consumed alcohol and smoked. Multinomial logistic regression revealed significant associations between multiple falls and mental health factors. In particular, the severity of depression was directly proportional to the likelihood of experiencing multiple falls, with an odds ratio of 2.95 (95% confidence interval, 2.49 to 3.50). Conclusions We identified associations between various mental health-related factors—including sleep duration, subjective stress, the presence of depression, and Patient Health Questionnaire-9 score—and the occurrence of multiple falls.

Objectives: This study was performed to investigate the prevalence of falls, mental health issues, and health behaviors among older adults, as well as to analyze the association between multiple falls and mental health status in this population. Methods: We utilized data from the 2017, 2019, and 2021 Korean Community Health Survey, a nationwide survey organized by region and conducted by the Korea Disease Control and Prevention Agency. Participants were categorized into no-fall, single-fall, and multiple fall groups based on responses to an index question regarding fall experiences and the number of such incidents reported in the survey. The chi-square test was applied to understand the characteristics of the elderly population in the community. Subsequently, multinomial logistic regression analysis was conducted to clarify the association between falls and mental health. Results: Integrated data analysis revealed that 11.3% of participants experienced a single fall, while 5.7% reported multiple falls. Participants from low-education and low-income backgrounds exhibited relatively high rates of falls. Additionally, non-drinkers and non-smokers reported falls more frequently than their counterparts who consumed alcohol and smoked. Multinomial logistic regression revealed significant associations between multiple falls and mental health factors. In particular, the severity of depression was directly proportional to the likelihood of experiencing multiple falls, with an odds ratio of 2.95 (95% confidence interval, 2.49 to 3.50). Conclusions We identified associations between various mental health-related factors—including sleep duration, subjective stress, the presence of depression, and Patient Health Questionnaire-9 score—and the occurrence of multiple falls.

Objectives: This study was performed to investigate the prevalence of falls, mental health issues, and health behaviors among older adults, as well as to analyze the association between multiple falls and mental health status in this population. Methods: We utilized data from the 2017, 2019, and 2021 Korean Community Health Survey, a nationwide survey organized by region and conducted by the Korea Disease Control and Prevention Agency. Participants were categorized into no-fall, single-fall, and multiple fall groups based on responses to an index question regarding fall experiences and the number of such incidents reported in the survey. The chi-square test was applied to understand the characteristics of the elderly population in the community. Subsequently, multinomial logistic regression analysis was conducted to clarify the association between falls and mental health. Results: Integrated data analysis revealed that 11.3% of participants experienced a single fall, while 5.7% reported multiple falls. Participants from low-education and low-income backgrounds exhibited relatively high rates of falls. Additionally, non-drinkers and non-smokers reported falls more frequently than their counterparts who consumed alcohol and smoked. Multinomial logistic regression revealed significant associations between multiple falls and mental health factors. In particular, the severity of depression was directly proportional to the likelihood of experiencing multiple falls, with an odds ratio of 2.95 (95% confidence interval, 2.49 to 3.50). Conclusions We identified associations between various mental health-related factors—including sleep duration, subjective stress, the presence of depression, and Patient Health Questionnaire-9 score—and the occurrence of multiple falls.

This study compares biomarker levels among environmentally vulnerable residents in Korea, the general Korean population, and Asians in the United States. We selected 953 exposed residents and 204 controls from the Forensic Research via Omics Markers in Environmental Health Vulnerable Areas (FROM) study (2021-2023), 4,239 participants from the fourth Korean National Environmental Health Survey (2018-2020), and 996 Asians from the U.S. National Health and Nutrition Examination Survey (2017-March 2020). The analyzed biomarkers included blood and urinary metals, urinary metabolites of polycyclic aromatic hydrocarbons, nicotine, volatile organic compounds, and serum perfluorocarbon metabolites. The highest median biomarker levels varied by pollution source among older adults. In refineries, blood lead and cadmium (Cd), as well as urinary Cd and 2-hydroxyfluorene, were highest. Abandoned metal mines exhibited the highest blood and urinary mercury, urinary Cd, total arsenic (As), 2-naphthol, and cotinine levels. Coal-fired power plants showed the highest urinary 1- hydroxyphenanthrene levels, while cement factories had the highest urinary As3+ levels. Sprawls demonstrated the highest urinary monomethylarsonic acid, 1-hydroxypyrene, and phenylglyoxylic acid levels, and industrial areas recorded the highest levels of trans, trans-muconic acid, benzylmercapturic acid, and 2-methylhippuric acid. In general, biomarker levels were higher among exposed residents in the FROM study than in the general population; however, urinary 2-hydroxyfluorene and As5+ levels did not differ significantly. Exposure to pollution sources in environmentally vulnerable areas may elevate biomarker levels in residents.

This study compares biomarker levels among environmentally vulnerable residents in Korea, the general Korean population, and Asians in the United States. We selected 953 exposed residents and 204 controls from the Forensic Research via Omics Markers in Environmental Health Vulnerable Areas (FROM) study (2021-2023), 4,239 participants from the fourth Korean National Environmental Health Survey (2018-2020), and 996 Asians from the U.S. National Health and Nutrition Examination Survey (2017-March 2020). The analyzed biomarkers included blood and urinary metals, urinary metabolites of polycyclic aromatic hydrocarbons, nicotine, volatile organic compounds, and serum perfluorocarbon metabolites. The highest median biomarker levels varied by pollution source among older adults. In refineries, blood lead and cadmium (Cd), as well as urinary Cd and 2-hydroxyfluorene, were highest. Abandoned metal mines exhibited the highest blood and urinary mercury, urinary Cd, total arsenic (As), 2-naphthol, and cotinine levels. Coal-fired power plants showed the highest urinary 1- hydroxyphenanthrene levels, while cement factories had the highest urinary As3+ levels. Sprawls demonstrated the highest urinary monomethylarsonic acid, 1-hydroxypyrene, and phenylglyoxylic acid levels, and industrial areas recorded the highest levels of trans, trans-muconic acid, benzylmercapturic acid, and 2-methylhippuric acid. In general, biomarker levels were higher among exposed residents in the FROM study than in the general population; however, urinary 2-hydroxyfluorene and As5+ levels did not differ significantly. Exposure to pollution sources in environmentally vulnerable areas may elevate biomarker levels in residents.

This study compares biomarker levels among environmentally vulnerable residents in Korea, the general Korean population, and Asians in the United States. We selected 953 exposed residents and 204 controls from the Forensic Research via Omics Markers in Environmental Health Vulnerable Areas (FROM) study (2021-2023), 4,239 participants from the fourth Korean National Environmental Health Survey (2018-2020), and 996 Asians from the U.S. National Health and Nutrition Examination Survey (2017-March 2020). The analyzed biomarkers included blood and urinary metals, urinary metabolites of polycyclic aromatic hydrocarbons, nicotine, volatile organic compounds, and serum perfluorocarbon metabolites. The highest median biomarker levels varied by pollution source among older adults. In refineries, blood lead and cadmium (Cd), as well as urinary Cd and 2-hydroxyfluorene, were highest. Abandoned metal mines exhibited the highest blood and urinary mercury, urinary Cd, total arsenic (As), 2-naphthol, and cotinine levels. Coal-fired power plants showed the highest urinary 1- hydroxyphenanthrene levels, while cement factories had the highest urinary As3+ levels. Sprawls demonstrated the highest urinary monomethylarsonic acid, 1-hydroxypyrene, and phenylglyoxylic acid levels, and industrial areas recorded the highest levels of trans, trans-muconic acid, benzylmercapturic acid, and 2-methylhippuric acid. In general, biomarker levels were higher among exposed residents in the FROM study than in the general population; however, urinary 2-hydroxyfluorene and As5+ levels did not differ significantly. Exposure to pollution sources in environmentally vulnerable areas may elevate biomarker levels in residents.

This study compares biomarker levels among environmentally vulnerable residents in Korea, the general Korean population, and Asians in the United States. We selected 953 exposed residents and 204 controls from the Forensic Research via Omics Markers in Environmental Health Vulnerable Areas (FROM) study (2021-2023), 4,239 participants from the fourth Korean National Environmental Health Survey (2018-2020), and 996 Asians from the U.S. National Health and Nutrition Examination Survey (2017-March 2020). The analyzed biomarkers included blood and urinary metals, urinary metabolites of polycyclic aromatic hydrocarbons, nicotine, volatile organic compounds, and serum perfluorocarbon metabolites. The highest median biomarker levels varied by pollution source among older adults. In refineries, blood lead and cadmium (Cd), as well as urinary Cd and 2-hydroxyfluorene, were highest. Abandoned metal mines exhibited the highest blood and urinary mercury, urinary Cd, total arsenic (As), 2-naphthol, and cotinine levels. Coal-fired power plants showed the highest urinary 1- hydroxyphenanthrene levels, while cement factories had the highest urinary As3+ levels. Sprawls demonstrated the highest urinary monomethylarsonic acid, 1-hydroxypyrene, and phenylglyoxylic acid levels, and industrial areas recorded the highest levels of trans, trans-muconic acid, benzylmercapturic acid, and 2-methylhippuric acid. In general, biomarker levels were higher among exposed residents in the FROM study than in the general population; however, urinary 2-hydroxyfluorene and As5+ levels did not differ significantly. Exposure to pollution sources in environmentally vulnerable areas may elevate biomarker levels in residents.

OBJECTIVES: The aims of this study were to investigate the factors affecting the fatigue and stress in male manufacturing workers. METHODS: A questionnaire investigating general characteristics, lifestyle factors, job characteristics, fatigue and stress was distributed to 896 subjects. From 851 respondents, 11 responses with insufficient data were excluded. The data were analyzed to investigate the factors affecting personal fatigue and stress. RESULTS: Among the general characteristics, both fatigue and stress in the older group were significantly lower than in the younger group (p<0.05). Fatigue in the group with higher education was significantly higher than in the group with only high school education (p<0.05). The group who lived alone had significantly more stress (p<0.05). Among lifestyle factors, people who exercised regularly had significantly lower fatigue and stress than those who did not (p<0.05). Fatigue was negatively correlated with decision latitude, supervisor support, and coworker support. Stress was positively correlated with job demand and negatively correlated with decision latitude, supervisor support, and coworker support. Fatigue and stress were positively correlated with each other. Multiple linear regression analysis showed that among job characteristic factors, coworker support affected fatigue while job demand and supervisor support affected stress. CONCLUSIONS: Fatigue and stress were positively correlated, but the job characteristics that affected each were different. This suggests that for effective management of fatigue and stress, the details of job characteristics need to be considered individually for the intervention and prevention of fatigue and stress.
Data Collection ; Education ; Fatigue* ; Humans ; Life Style ; Linear Models ; Male* ; Questionnaires

OBJECTIVES: The purpose of this study was to determine a separation method for each arsenic metabolite in urine by using a high performance liquid chromatography (HPLC)- inductively coupled plasma-mass spectrometer (ICP-MS). METHODS: Separation of the arsenic metabolites was conducted in urine by using a polymeric anion-exchange (Hamilton PRP X-100, 4.6 mm x 150 mm, 5 mum) column on Agilent Technologies 1260 Infinity LC system coupled to Agilent Technologies 7700 series ICP/MS equipment using argon as the plasma gas. RESULTS: All five important arsenic metabolites in urine were separated within 16 minutes in the order of arsenobetaine, arsenite, dimethylarsinate, monomethylarsonate and arsenate with detection limits ranging from 0.15 to 0.27 mug/L (40 muL injection). We used GEQUAS No. 52, the German external quality assessment scheme and standard reference material 2669, National Institute of Standard and Technology, to validate our analyses. CONCLUSIONS: The method for separation of arsenic metabolites in urine was established by using HPLC-ICP-MS. This method contributes to the evaluation of arsenic exposure, health effect assessment and other bio-monitoring studies for arsenic exposure in South Korea.
Argon ; Arsenic* ; Cacodylic Acid ; Chromatography, Liquid ; Environmental Monitoring ; Korea ; Limit of Detection ; Plasma ; Polymers ; Spectrum Analysis*

OBJECTIVES: Delirium is a common postoperative complication in old adults associated with adverse events including functional decline, longer lengths of stay, and risk of institutionalization. The purpose of this study is to evaluate the incidence, preoperative, intraoperative, and postoperative risk factors of postoperative delirium in spine surgery. METHODS: Seventy-nine patients who underwent spine surgery were included. Preoperative assessments included current medical illness, number of comorbid problems, and the number of medications by past medical history, medical record, and interview with patients and caregivers. Intraoperative risk factors were evaluated. Laboratory data were checked preoperatively and postoperatively. The presence of delirium was determined by the Korean version of Delirium Rating Scale (K-DRS). RESULTS: Postoperative delirium was found in patients (7.6%). There was an association suggested between older age and postoperative delirium in spine surgery (p<0.05). An association was suggested between increasing numbers of medical conditions and postoperative delirium (p<0.05). Preoperative hemoglobin, hematocrit, sodium, potassium, calcium, albumin levels and postoperative hemoglobin and total protein levels were in the delirium group was significantly lower than those in control group (p<0.05). CONCLSION: This study showed that the postoperative delirium in spine surgery is not rare and several preoperative and postoperative factors are involved in the development of delirium. This pilot study is the first prospective trial in the area of postoperative delirium in spine surgery with a small sample size and short-term period, so further research with large sample size will be necessary.
Adult ; Aged ; Calcium ; Caregivers ; Delirium* ; Hematocrit ; Humans ; Incidence ; Institutionalization ; Medical Records ; Pilot Projects* ; Postoperative Complications ; Potassium ; Prospective Studies ; Risk Factors ; Sample Size ; Sodium ; Spine*