Purpose Food insecurity and inadequate nutrient intake are major public health concerns in aging populations. Sarcopenia is influenced by nutrition and socioeconomic status. This study aimed to estimate the prevalence of food insecurity and sarcopenia risk among Korean older adults and examine associations with socioeconomic and lifestyle factors.
Methods A cross-sectional analysis of the 2019 Korea National Health and Nutrition Examination Survey (KNHANES) was conducted using a complex sample design. A total of 1,365 adults aged ≥65 years were included. Food insecurity, nutrient adequacy per European Society for Clinical Nutrition and Metabolism (ESPEN) guidelines, and sarcopenia risk (defined by low handgrip strength) were assessed. Logistic regression determined associations with socioeconomic status, diet, and exercise.
Results Food insecurity affected 15.7% of older adults (weighted percentage). An estimated 40.9% had inadequate nutrient intake, and 24.6% were at risk of sarcopenia. Lower income was significantly associated with sarcopenia risk; compared to the lowest quintile, those in the second quintile had lower odds (OR = 0.61, 95% CI: 0.43–0.87). Lower education also increased risk, with high school graduates showing lower odds (OR = 0.45, 95% CI: 0.26–0.78) compared to those with elementary education or less. Notably, nutrient adequacy based on ESPEN guidelines was not significantly associated with sarcopenia risk. Resistance exercise ≥3 days/week was protective (OR = 0.48, 95% CI: 0.28–0.82).
Conclusions Socioeconomic disadvantage and physical inactivity are primary determinants of sarcopenia risk in Korean older adults. The lack of association between ESPEN-based nutrient adequacy and sarcopenia risk highlights the need to address structural socioeconomic determinants beyond simple nutrient supplementation.
Purpose As the number of older adults with dual sensory declines is increasing, they face a higher risk of malnutrition compared to those without these declines. Although social determinants of health can influence malnutrition, there has been limited research on this population. This study aimed to explore the association between malnutrition risk and social determinants of health among older adults with dual sensory declines.
Methods The study is a cross-sectional analysis using data from the 2020 National Survey of Older Koreans. Binomial logistic regression analysis was conducted to examine the association between malnutrition risk and social determinants of health. These determinants include structural determinants, social capital, and intermediary determinants among older adults with dual sensory declines.
Results 1,771 with dual sensory declines were included in the analysis. Among the structural determinants, women (odds ratio [OR]=1.75, 95% confidential interval [CI] 1.19~2.57) and national basic livelihood security system recipients (OR=1.87, 95% CI 1.13~3.07) were significantly associated with malnutrition risk. In social capital, social non-participation (OR=1.33, 95% CI 1.03~1.73) and social network size (OR=0.95, 95% CI 0.92~0.98), Among intermediary determinants, living dissatisfaction (OR=1.61, 95% CI 1.16~2.23), environmental satisfaction (OR=0.95, 95% CI 0.92~0.99), household debt (OR=1.59, 95% CI 1.02~2.49) and comorbidity (OR=3.85, 95% CI 2.98~4.97) were significantly related to malnutrition risk.
Conclusion These findings highlight the critical need to address key social determinants of health to enhance nutritional outcomes for older adults with dual sensory declines.
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PURPOSE This study was to evaluate the nutritional status of low-income elders in urban areas and factors affecting their nutritional risk. METHODS A cross-sectional analysis was conducted. The subjects were 300 elders selected from home visiting clients of DongJack Public Health Center. Data were collected using a questionnaire containing questions on socio-demographic characteristics. health behavior and disease. dietary pattern. Nutritional Screening Initiative. Geriatric Depression Scale and Barthel Index for ADL. Collected data were analyzed through descriptive statistics. chi2-test and multiple regression analysis using SPSS. RESULTS Of the subjects, 63% had high nutritional risk, 21.3% moderate nutritional risk, and 15.7% good nutritional risk. NSI score was significantly different according to economic status, subjective health condition, medication, dental health, depression. regularity of diet and meal with family. Multiple regression analysis revealed that depression, subjective health condition, dental health and regularity of diet and meal with family explain 38.1% of nutritional risk. CONCLUSION It is necessary to evaluate nutrition status and to control nutritional risk factors such as depression, dental health, regularity of diet and meal with family for improving the health of the low-income elderly.