no abstract available

Objectives: We aimed to investigate the recent changes in clinical practice in Korea after the introduction of the national health insurance coverage for polysomnography and positive airway pressure (PAP) treatment for obstructive sleep apnea syndrome (OSAS) in July 2018. Methods: We assessed the amount, cost, and geographic distribution of healthcare utilization associated with the diagnostic codes of sleep apnea, polysomnography tests, and PAP treatment using the Korea National Health Insurance Database. Furthermore, the specialties of the prescribing physician and the type of health institute were investigated. Results: The number of patients who used health resources under the diagnostic codes of sleep apnea has increased since 2018. In total, 81,016 polysomnography tests were performed from July 2018 to December 2019, and 58,213 patients underwent PAP treatment from July 2018 to March 2020. The total medical cost associated with sleep apnea was 56,517,061 thousand won in 2019. Auto-titrating PAP accounted for 85.1% of all PAP devices prescribed, and the overall adherence rate for PAP was 69.3%. PAP was prescribed most frequently in private clinics (49.9%) and mostly by physicians of ear-nose-throat (66.6%), neurology (18.7%), and psychiatry (10.3%) specializations. PAP was used more frequently by those living in urban areas than by those living in rural areas. Conclusions Recent changes in the national health insurance coverage have resulted in a surge in the healthcare utilization related to OSAS. There was a regional variation in OSAS treatment, suggesting an inequality in the availability of healthcare for OSAS and the need to improve the awareness regarding OSAS.

Objectives: We aimed to investigate the recent changes in clinical practice in Korea after the introduction of the national health insurance coverage for polysomnography and positive airway pressure (PAP) treatment for obstructive sleep apnea syndrome (OSAS) in July 2018. Methods: We assessed the amount, cost, and geographic distribution of healthcare utilization associated with the diagnostic codes of sleep apnea, polysomnography tests, and PAP treatment using the Korea National Health Insurance Database. Furthermore, the specialties of the prescribing physician and the type of health institute were investigated. Results: The number of patients who used health resources under the diagnostic codes of sleep apnea has increased since 2018. In total, 81,016 polysomnography tests were performed from July 2018 to December 2019, and 58,213 patients underwent PAP treatment from July 2018 to March 2020. The total medical cost associated with sleep apnea was 56,517,061 thousand won in 2019. Auto-titrating PAP accounted for 85.1% of all PAP devices prescribed, and the overall adherence rate for PAP was 69.3%. PAP was prescribed most frequently in private clinics (49.9%) and mostly by physicians of ear-nose-throat (66.6%), neurology (18.7%), and psychiatry (10.3%) specializations. PAP was used more frequently by those living in urban areas than by those living in rural areas. Conclusions Recent changes in the national health insurance coverage have resulted in a surge in the healthcare utilization related to OSAS. There was a regional variation in OSAS treatment, suggesting an inequality in the availability of healthcare for OSAS and the need to improve the awareness regarding OSAS.

BACKGROUND/OBJECTIVES: This study examined the socio-demographic and dietary characteristics of the elderly in Seoul according to their food insecurity status and analyzed the characteristics associated with food insecurity. SUBJECTS/METHODS: The data from 513 elderly individuals aged 65 or older were analyzed using the raw data from the Seoul Food Survey 2023. The subjects were classified into food-secure or food-insecure groups. The socio-demographic and dietary characteristics of each group were analyzed. Logistic regression analysis was conducted to identify the characteristics associated with food insecurity among the elderly in Seoul. RESULTS: The proportion of the food-insecure group was 56.9% among the total elderly in Seoul. The main reasons for experiencing food insecurity were environmental (38.0%), followed by physical (37.5%) and financial (24.5%). The food-insecure group had a higher frequency of skipping breakfast and eating alone than the food-secure group while having lower dietary literacy and food environment satisfaction. Logistic regression analysis showed that the elderly living alone were approximately four times (odds ratio [OR], 3.59; 95% confidence interval [CI], 1.52–8.51) more likely to suffer food insecurity than those living with others. Higher digital food literacy (OR, 0.63; 95% CI, 0.41–0.97) and food environment satisfaction (OR, 0.38; 95% CI, 0.20–0.74) were associated with a lower likelihood of food insecurity. CONCLUSION These results suggest that policies aimed at improving food security for the elderly in Seoul should prioritize those living alone. Educational programs designed to enhance the ability to purchase online food, use self-service kiosks in restaurants, and use food delivery apps would effectively decrease food insecurity among the elderly in Seoul.Furthermore, policies aimed at improving the food environment may also help reduce food insecurity among this population.

BACKGROUND/OBJECTIVES: This study examined the socio-demographic and dietary characteristics of the elderly in Seoul according to their food insecurity status and analyzed the characteristics associated with food insecurity. SUBJECTS/METHODS: The data from 513 elderly individuals aged 65 or older were analyzed using the raw data from the Seoul Food Survey 2023. The subjects were classified into food-secure or food-insecure groups. The socio-demographic and dietary characteristics of each group were analyzed. Logistic regression analysis was conducted to identify the characteristics associated with food insecurity among the elderly in Seoul. RESULTS: The proportion of the food-insecure group was 56.9% among the total elderly in Seoul. The main reasons for experiencing food insecurity were environmental (38.0%), followed by physical (37.5%) and financial (24.5%). The food-insecure group had a higher frequency of skipping breakfast and eating alone than the food-secure group while having lower dietary literacy and food environment satisfaction. Logistic regression analysis showed that the elderly living alone were approximately four times (odds ratio [OR], 3.59; 95% confidence interval [CI], 1.52–8.51) more likely to suffer food insecurity than those living with others. Higher digital food literacy (OR, 0.63; 95% CI, 0.41–0.97) and food environment satisfaction (OR, 0.38; 95% CI, 0.20–0.74) were associated with a lower likelihood of food insecurity. CONCLUSION These results suggest that policies aimed at improving food security for the elderly in Seoul should prioritize those living alone. Educational programs designed to enhance the ability to purchase online food, use self-service kiosks in restaurants, and use food delivery apps would effectively decrease food insecurity among the elderly in Seoul.Furthermore, policies aimed at improving the food environment may also help reduce food insecurity among this population.

BACKGROUND/OBJECTIVES: This study examined the socio-demographic and dietary characteristics of the elderly in Seoul according to their food insecurity status and analyzed the characteristics associated with food insecurity. SUBJECTS/METHODS: The data from 513 elderly individuals aged 65 or older were analyzed using the raw data from the Seoul Food Survey 2023. The subjects were classified into food-secure or food-insecure groups. The socio-demographic and dietary characteristics of each group were analyzed. Logistic regression analysis was conducted to identify the characteristics associated with food insecurity among the elderly in Seoul. RESULTS: The proportion of the food-insecure group was 56.9% among the total elderly in Seoul. The main reasons for experiencing food insecurity were environmental (38.0%), followed by physical (37.5%) and financial (24.5%). The food-insecure group had a higher frequency of skipping breakfast and eating alone than the food-secure group while having lower dietary literacy and food environment satisfaction. Logistic regression analysis showed that the elderly living alone were approximately four times (odds ratio [OR], 3.59; 95% confidence interval [CI], 1.52–8.51) more likely to suffer food insecurity than those living with others. Higher digital food literacy (OR, 0.63; 95% CI, 0.41–0.97) and food environment satisfaction (OR, 0.38; 95% CI, 0.20–0.74) were associated with a lower likelihood of food insecurity. CONCLUSION These results suggest that policies aimed at improving food security for the elderly in Seoul should prioritize those living alone. Educational programs designed to enhance the ability to purchase online food, use self-service kiosks in restaurants, and use food delivery apps would effectively decrease food insecurity among the elderly in Seoul.Furthermore, policies aimed at improving the food environment may also help reduce food insecurity among this population.

BACKGROUND/OBJECTIVES: This study examined the socio-demographic and dietary characteristics of the elderly in Seoul according to their food insecurity status and analyzed the characteristics associated with food insecurity. SUBJECTS/METHODS: The data from 513 elderly individuals aged 65 or older were analyzed using the raw data from the Seoul Food Survey 2023. The subjects were classified into food-secure or food-insecure groups. The socio-demographic and dietary characteristics of each group were analyzed. Logistic regression analysis was conducted to identify the characteristics associated with food insecurity among the elderly in Seoul. RESULTS: The proportion of the food-insecure group was 56.9% among the total elderly in Seoul. The main reasons for experiencing food insecurity were environmental (38.0%), followed by physical (37.5%) and financial (24.5%). The food-insecure group had a higher frequency of skipping breakfast and eating alone than the food-secure group while having lower dietary literacy and food environment satisfaction. Logistic regression analysis showed that the elderly living alone were approximately four times (odds ratio [OR], 3.59; 95% confidence interval [CI], 1.52–8.51) more likely to suffer food insecurity than those living with others. Higher digital food literacy (OR, 0.63; 95% CI, 0.41–0.97) and food environment satisfaction (OR, 0.38; 95% CI, 0.20–0.74) were associated with a lower likelihood of food insecurity. CONCLUSION These results suggest that policies aimed at improving food security for the elderly in Seoul should prioritize those living alone. Educational programs designed to enhance the ability to purchase online food, use self-service kiosks in restaurants, and use food delivery apps would effectively decrease food insecurity among the elderly in Seoul.Furthermore, policies aimed at improving the food environment may also help reduce food insecurity among this population.

BACKGROUND/OBJECTIVES: This study examined the socio-demographic and dietary characteristics of the elderly in Seoul according to their food insecurity status and analyzed the characteristics associated with food insecurity. SUBJECTS/METHODS: The data from 513 elderly individuals aged 65 or older were analyzed using the raw data from the Seoul Food Survey 2023. The subjects were classified into food-secure or food-insecure groups. The socio-demographic and dietary characteristics of each group were analyzed. Logistic regression analysis was conducted to identify the characteristics associated with food insecurity among the elderly in Seoul. RESULTS: The proportion of the food-insecure group was 56.9% among the total elderly in Seoul. The main reasons for experiencing food insecurity were environmental (38.0%), followed by physical (37.5%) and financial (24.5%). The food-insecure group had a higher frequency of skipping breakfast and eating alone than the food-secure group while having lower dietary literacy and food environment satisfaction. Logistic regression analysis showed that the elderly living alone were approximately four times (odds ratio [OR], 3.59; 95% confidence interval [CI], 1.52–8.51) more likely to suffer food insecurity than those living with others. Higher digital food literacy (OR, 0.63; 95% CI, 0.41–0.97) and food environment satisfaction (OR, 0.38; 95% CI, 0.20–0.74) were associated with a lower likelihood of food insecurity. CONCLUSION These results suggest that policies aimed at improving food security for the elderly in Seoul should prioritize those living alone. Educational programs designed to enhance the ability to purchase online food, use self-service kiosks in restaurants, and use food delivery apps would effectively decrease food insecurity among the elderly in Seoul.Furthermore, policies aimed at improving the food environment may also help reduce food insecurity among this population.