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.

Background: Gestational diabetes mellitus (GDM) affects women with diverse pathological phenotypes, but little is known about the effects of this variation on perinatal outcomes. We explored the metabolic phenotypes of GDM and their impact on adverse pregnancy outcomes. Methods: Women diagnosed with gestational glucose intolerance or GDM were categorized into subgroups according to their prepregnancy body mass index (BMI) and the median values of the gestational Matsuda and Stumvoll indices. Logistic regression analysis was employed to assess the odds of adverse pregnancy outcomes, such as large-for-gestational age (LGA), small-for-gestational age, preterm birth, low Apgar score, and cesarean section. Results: A total of 309 women were included, with a median age of 31 years and a median BMI of 22.3 kg/m2. Women with a higher pre-pregnancy BMI had a higher risk of LGA newborns (adjusted odds ratio [aOR] for pre-pregnancy BMI ≥25 kg/m2 compared to 20–23 kg/m2, 4.26; 95% confidence interval [CI], 1.99 to 9.12; P<0.001; P for trend=0.001), but the risk of other adverse pregnancy outcomes did not differ according to pre-pregnancy BMI. Women with insulin resistance had a higher risk of LGA (aOR, 1.88; 95% CI, 1.02 to 3.47; P=0.043) and cesarean section (aOR, 2.12; 95% CI, 1.29 to 3.50; P=0.003) than women in the insulin-sensitive group. In contrast, defective β-cell function did not affect adverse pregnancy outcomes. Conclusion Different metabolic phenotypes of GDM were associated with heterogeneous pregnancy outcomes. Women with obesity and those with insulin resistance are at greater risk of adverse outcomes and might need strict glycemic management during pregnancy.

Background: Gestational diabetes mellitus (GDM) affects women with diverse pathological phenotypes, but little is known about the effects of this variation on perinatal outcomes. We explored the metabolic phenotypes of GDM and their impact on adverse pregnancy outcomes. Methods: Women diagnosed with gestational glucose intolerance or GDM were categorized into subgroups according to their prepregnancy body mass index (BMI) and the median values of the gestational Matsuda and Stumvoll indices. Logistic regression analysis was employed to assess the odds of adverse pregnancy outcomes, such as large-for-gestational age (LGA), small-for-gestational age, preterm birth, low Apgar score, and cesarean section. Results: A total of 309 women were included, with a median age of 31 years and a median BMI of 22.3 kg/m2. Women with a higher pre-pregnancy BMI had a higher risk of LGA newborns (adjusted odds ratio [aOR] for pre-pregnancy BMI ≥25 kg/m2 compared to 20–23 kg/m2, 4.26; 95% confidence interval [CI], 1.99 to 9.12; P<0.001; P for trend=0.001), but the risk of other adverse pregnancy outcomes did not differ according to pre-pregnancy BMI. Women with insulin resistance had a higher risk of LGA (aOR, 1.88; 95% CI, 1.02 to 3.47; P=0.043) and cesarean section (aOR, 2.12; 95% CI, 1.29 to 3.50; P=0.003) than women in the insulin-sensitive group. In contrast, defective β-cell function did not affect adverse pregnancy outcomes. Conclusion Different metabolic phenotypes of GDM were associated with heterogeneous pregnancy outcomes. Women with obesity and those with insulin resistance are at greater risk of adverse outcomes and might need strict glycemic management during pregnancy.

Background: Gestational diabetes mellitus (GDM) affects women with diverse pathological phenotypes, but little is known about the effects of this variation on perinatal outcomes. We explored the metabolic phenotypes of GDM and their impact on adverse pregnancy outcomes. Methods: Women diagnosed with gestational glucose intolerance or GDM were categorized into subgroups according to their prepregnancy body mass index (BMI) and the median values of the gestational Matsuda and Stumvoll indices. Logistic regression analysis was employed to assess the odds of adverse pregnancy outcomes, such as large-for-gestational age (LGA), small-for-gestational age, preterm birth, low Apgar score, and cesarean section. Results: A total of 309 women were included, with a median age of 31 years and a median BMI of 22.3 kg/m2. Women with a higher pre-pregnancy BMI had a higher risk of LGA newborns (adjusted odds ratio [aOR] for pre-pregnancy BMI ≥25 kg/m2 compared to 20–23 kg/m2, 4.26; 95% confidence interval [CI], 1.99 to 9.12; P<0.001; P for trend=0.001), but the risk of other adverse pregnancy outcomes did not differ according to pre-pregnancy BMI. Women with insulin resistance had a higher risk of LGA (aOR, 1.88; 95% CI, 1.02 to 3.47; P=0.043) and cesarean section (aOR, 2.12; 95% CI, 1.29 to 3.50; P=0.003) than women in the insulin-sensitive group. In contrast, defective β-cell function did not affect adverse pregnancy outcomes. Conclusion Different metabolic phenotypes of GDM were associated with heterogeneous pregnancy outcomes. Women with obesity and those with insulin resistance are at greater risk of adverse outcomes and might need strict glycemic management during pregnancy.

Background: Gestational diabetes mellitus (GDM) affects women with diverse pathological phenotypes, but little is known about the effects of this variation on perinatal outcomes. We explored the metabolic phenotypes of GDM and their impact on adverse pregnancy outcomes. Methods: Women diagnosed with gestational glucose intolerance or GDM were categorized into subgroups according to their prepregnancy body mass index (BMI) and the median values of the gestational Matsuda and Stumvoll indices. Logistic regression analysis was employed to assess the odds of adverse pregnancy outcomes, such as large-for-gestational age (LGA), small-for-gestational age, preterm birth, low Apgar score, and cesarean section. Results: A total of 309 women were included, with a median age of 31 years and a median BMI of 22.3 kg/m2. Women with a higher pre-pregnancy BMI had a higher risk of LGA newborns (adjusted odds ratio [aOR] for pre-pregnancy BMI ≥25 kg/m2 compared to 20–23 kg/m2, 4.26; 95% confidence interval [CI], 1.99 to 9.12; P<0.001; P for trend=0.001), but the risk of other adverse pregnancy outcomes did not differ according to pre-pregnancy BMI. Women with insulin resistance had a higher risk of LGA (aOR, 1.88; 95% CI, 1.02 to 3.47; P=0.043) and cesarean section (aOR, 2.12; 95% CI, 1.29 to 3.50; P=0.003) than women in the insulin-sensitive group. In contrast, defective β-cell function did not affect adverse pregnancy outcomes. Conclusion Different metabolic phenotypes of GDM were associated with heterogeneous pregnancy outcomes. Women with obesity and those with insulin resistance are at greater risk of adverse outcomes and might need strict glycemic management during pregnancy.

Purpose: This study investigated the effects of aroma inhalation on sleep quality, professional quality of life (QoL), and near-misses in medication errors during night shifts among emergency room nurses. Methods: A randomized crossover experimental design was used to determine the effects of this intervention. The research participants included 55 nurses (29 in group 1 and 26 in group 2) who worked as nurses in the emergency room at a tertiary general hospital in Chungcheongbuk-do, South Korea. Aroma inhalation was conducted on the night shift. Sleep quality, professional QoL, and near-misses in medication were measured before and after inhalation of the aroma. Data was analyzed using the independent t-test, the chi-square test, and a linear mixed-effects model. Results: The aroma treatment group had significantly better sleep quality than the non-treatment group (p < .010), and the sleep time on the third day of aroma treatment was longer than that of the non-treatment group (p = .008). However, there were no signs of improvement in professional QoL or near-misses in medication errors in response to aroma treatment. Conclusion Aroma inhalation effectively improved sleep quality and increased sleep duration in emergency room nurses. Therefore, aroma inhalation is suggested as an intervention to improve the sleep quality of emergency room nurses who work night shifts. Follow-up studies are needed to build a more robust evidence base to inform strategies for improving nurses' professional QoL and patient safety during medication management.

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.

Purpose: This study investigated the effects of aroma inhalation on sleep quality, professional quality of life (QoL), and near-misses in medication errors during night shifts among emergency room nurses. Methods: A randomized crossover experimental design was used to determine the effects of this intervention. The research participants included 55 nurses (29 in group 1 and 26 in group 2) who worked as nurses in the emergency room at a tertiary general hospital in Chungcheongbuk-do, South Korea. Aroma inhalation was conducted on the night shift. Sleep quality, professional QoL, and near-misses in medication were measured before and after inhalation of the aroma. Data was analyzed using the independent t-test, the chi-square test, and a linear mixed-effects model. Results: The aroma treatment group had significantly better sleep quality than the non-treatment group (p < .010), and the sleep time on the third day of aroma treatment was longer than that of the non-treatment group (p = .008). However, there were no signs of improvement in professional QoL or near-misses in medication errors in response to aroma treatment. Conclusion Aroma inhalation effectively improved sleep quality and increased sleep duration in emergency room nurses. Therefore, aroma inhalation is suggested as an intervention to improve the sleep quality of emergency room nurses who work night shifts. Follow-up studies are needed to build a more robust evidence base to inform strategies for improving nurses' professional QoL and patient safety during medication management.

Purpose: This study investigated the effects of aroma inhalation on sleep quality, professional quality of life (QoL), and near-misses in medication errors during night shifts among emergency room nurses. Methods: A randomized crossover experimental design was used to determine the effects of this intervention. The research participants included 55 nurses (29 in group 1 and 26 in group 2) who worked as nurses in the emergency room at a tertiary general hospital in Chungcheongbuk-do, South Korea. Aroma inhalation was conducted on the night shift. Sleep quality, professional QoL, and near-misses in medication were measured before and after inhalation of the aroma. Data was analyzed using the independent t-test, the chi-square test, and a linear mixed-effects model. Results: The aroma treatment group had significantly better sleep quality than the non-treatment group (p < .010), and the sleep time on the third day of aroma treatment was longer than that of the non-treatment group (p = .008). However, there were no signs of improvement in professional QoL or near-misses in medication errors in response to aroma treatment. Conclusion Aroma inhalation effectively improved sleep quality and increased sleep duration in emergency room nurses. Therefore, aroma inhalation is suggested as an intervention to improve the sleep quality of emergency room nurses who work night shifts. Follow-up studies are needed to build a more robust evidence base to inform strategies for improving nurses' professional QoL and patient safety during medication management.