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.