Pressure injuries are common complications in patients with limited mobility, particularly those who are bedridden. These wounds not only cause pain and reduce quality of life but also lead to prolonged hospitalization, increased risk of infection, and higher healthcare costs. Among the various contributing factors, malnutrition plays a crucial role by impairing collagen synthesis, weakening immune function, and delaying tissue repair. Adequate nutritional support—particularly sufficient protein and energy intake—is therefore an essential component of comprehensive pressure injury management. We present the case of a paraplegic patient who developed a vulvar pressure injury. A structured, stepwise nutritional intervention was implemented, including adjustment of meal composition based on appetite, supplementation with high-protein oral nutritional supplements, vitamins and minerals, and the use of probiotics to manage diarrhea. As a result, the patient’s daily protein intake increased from less than 10 g to 80–90 g, accompanied by progressive wound improvement. Serial clinical assessments showed reduced slough, increased granulation tissue formation, and epithelialization. This case highlights the vital role of individualized nutritional management within a multidisciplinary approach to pressure injury care. Stepwise nutritional intervention, tailored to the patient’s tolerance and clinical status, contributed significantly to wound healing. Nutritional optimization should be considered an integral component of effective pressure injury treatment strategies.

Cataracts are a major cause of visual impairment worldwide, particularly among older adults, with an increasing prevalence due to population aging. Surgery is the primary treatment; however, preventive strategies are crucial for reducing the disease burden. This study aimed to investigate dietary and health-related factors associated with cataract occurrence and develop a predictive model using machine learning. Data were derived from the Korea National Health and Nutrition Examination Survey 2015–2017. The study included 190 women aged 60–79 years: 124 with cataracts and 66 controls. Analyzed variables included sociodemographic, behavioral, chronic disease, and dietary intake factors. After data preprocessing, 4 machine learning algorithms: support vector machine (SVM), random forest (RF), eXtreme gradient boosting, and multilayer perceptron were used. Model performance was evaluated using accuracy, precision, recall, F1-score, and area under the receiver operating characteristic curve (AUROC) and precision-recall curves. Among the tested models, the SVM achieved the best performance under stratified 10-fold cross-validation, with 71% accuracy, 86% precision, 73% recall, 79% F1-score, 65% AUROC, and 81% AUPRC. According to our findings, the odds of having cataracts can be effectively predicted using dietary and health data without relying on specialized ophthalmic equipment. The proposed model demonstrates the potential of machine learning-based tools for early identification and prevention of cataracts. Future studies with larger and more diverse samples, as well as integrating additional data sources such as genomics and lifestyle factors, are warranted to refine predictive accuracy and enhance personalized nutrition-based interventions.

This study provides the first national update on phase angle (PhA) as a biomarker of body composition, nutritional status, and health outcomes in Korean adults. Using data from 5,035 adults aged 20–80 years from the 2023 Korea National Health and Nutrition Examination Survey (KNHANES), we analyzed age-related variations in PhA, body composition, metabolic diseases, and nutrient intake. The mean PhA declined from 5.57° in participants aged 20–39 to 4.23° in those aged 80+, corresponding with decreases in height and weight. Individuals with higher PhA exhibited significantly greater lean body mass and lower body fat; for example, among those aged 20–39, the high PhA group showed 56.02 kg of lean mass versus 40.71 kg in the low group (p < 0.001) and total body water of 41.07 L versus 29.84 L (p < 0.001). Regarding metabolic diseases, 35.2% of the high PhA group aged 20–39 had grade 1 obesity compared with 17.4% in the low group, with similar associations observed for diabetes and hypertension across age groups. Nutritional intake was also higher in the high PhA group, with mean energy intake of 2,180.84 versus 1,710.16 kcal (p < 0.001). Overall, PhA was positively associated with favorable body composition, nutritional intake, and metabolic profiles across all age groups, suggesting its potential as a comprehensive biomarker for assessing physiological health and guiding nutritional interventions in the Korean population.

Adequate nutrition reportedly can help reduce the degree of muscle loss and improve muscle quality in hospitalized patients recovering from trauma. This study investigated the association between nutritional intake and changes in muscle quality and quantity in these patients. The handgrip strength (HGS) and body composition of 52 patients admitted to the trauma ward were measured at 1-week intervals. According to their dietary intake, they were categorized into the hypocaloric nutrition group (HNG; < 70% of recommended caloric intake) and the isocaloric nutrition group (ING; ≥ 70% of recommended caloric intake). Within one week, body mass index (24.3 ± 4.4 kg/m² vs. 23.4 ± 4.5 kg/m²), body fat percentage (24.1% ± 9.8% vs. 17.2% ± 9.2%), and skeletal muscle mass (28.6 ± 4.9 kg vs. 27.5 ± 4.3 kg) significantly decreased in the ING compared with those in the HNG. Although the skeletal muscle mass decreased, the ING’s left HGS significantly increased (26.6 ± 9.6 kg vs. 28.5 ± 10.1 kg). The ING also consumed a significantly greater amount of protein (beyond the recommended amount) than the HNG (72.6 ± 43.2 → 100.8 ± 27.0% vs. 58.6 ± 25.9 → 49.5 ± 20.1%; p = 0.039). In bioelectrical impedance vector analysis, the vectors of the ING shifted more within the normal range of the 75% tolerance ellipse than those of the HNG (23% vs. 10%). These results suggest that, although the muscle mass quantitatively decreased during trauma recovery, adequate nutritional support helps preserve muscle quality.

This study evaluated the effects of replacing skipped meals with oral nutritional supplements (ONS) on the nutritional status and functional health of older adults. A total of 29 participants aged ≥ 65 years who regularly skipped at least one meal per day were included in this single-arm study. For 8 weeks, participants consumed two packs of ONS daily (150 mL each, providing 400 kcal and 18 g of protein) as a substitute for skipped meals. Nutritional status, nutrient intake, body composition, and physical function were assessed before and after the intervention. The Nutrition Quotient for the Elderly score significantly increased from 58.97 to 63.62 (p = 0.014). Total nutrient intake, including ONS, significantly improved compared with baseline (p < 0.01). Body weight and body mass index increased significantly from 58.87 to 59.47 kg (p = 0.028) and from 23.9 to 24.18 kg/m² (p = 0.016), respectively. Calf circumference decreased significantly from 34.1 to 33.39 cm (p = 0.010). Physical function, assessed using the Short Physical Performance Battery, showed significant improvement (p = 0.003). In conclusion, replacing skipped meals with ONS may enhance nutritional status and support functional health in older adults.

Cataracts are a major cause of vision impairment in older adults and pose a growing concern in aging societies. This study examined the association between dietary macronutrient intake and the odds of having cataracts among 1,619 Korean adults aged ≥ 60 years using data from the 2015–2017 Korea National Health and Nutrition Examination Survey. Cataracts were present in 51.8% of participants. Dietary intake was assessed via 24-hour recall and macronutrient intake was categorized by quartiles and energy ratios. After adjusting for covariates, individuals in the highest quartile of carbohydrate-to-energy intake (> 80%) had 41% higher odds of having cataracts (odds ratio [OR], 1.41; 95% confidence interval [CI], 0.99–2.01), with a significant trend (p for trend = 0.022). In contrast, the highest quartile of protein intake (Q3: 12%–15% energy) was associated with significantly lower odds of having cataracts in women (OR, 0.59; 95% CI, 0.40–0.88). Likewise, fat intake exceeding 18% of total energy was associated with reduced odds of having cataracts (OR, 0.69; 95% CI, 0.49–0.97). Saturated and monounsaturated fat intake also showed inverse associations with the odds of having cataracts. These results suggest that excessive carbohydrate intake, particularly when replacing fats and proteins, may increase the odds of having cataracts in older adults, especially among women. Dietary adjustments aimed at reducing the proportion of carbohydrates and increasing high-quality protein and fat intake may help prevent cataracts in aging populations. Further longitudinal studies are needed to clarify causal relationships and to inform nutritional guideline development.

Citations

Citations to this article as recorded by  

• Development and Comparison of AI Algorithms for a Predictive Model of Cataracts: Analysis of the Korea National Health and Nutrition Examination Survey (2015–2017)
  Jiyoung Choi, Eunju Park
  Clinical Nutrition Research.2025; 14(4): 297.     CrossRef

Chronic obstructive pulmonary disease (COPD) is a major respiratory disorder characterized by irreversible airflow limitation. The role of diet in the prevention and management of COPD is receiving increasing attention. This study aimed to examine the association between the composite intake of vegetables, fruits, meat, and fish and pulmonary function as well as COPD prevalence in a representative sample of Korean adults aged ≥ 40 years using data from the 7th Korea National Health and Nutrition Examination Survey. Higher vegetable intake was associated with significantly better pulmonary function parameters, including forced vital capacity (p < 0.001), forced vital capacity percent predicted (p = 0.050), forced expiratory volume (FEV) in 1 second (FEV₁; p < 0.001), FEV₁ percent predicted (p = 0.038), FEV in 6 seconds (p < 0.001), and peak expiratory flow (p < 0.001). Furthermore, individuals with a high combined intake of vegetables, fruits, meat, and fish demonstrated a 0.261-fold lower COPD prevalence than those without such intake (p = 0.039). The dietary inflammatory index (DII) was significantly lower among participants without COPD than among those with COPD (mean DII = −3.6947, p = 0.002), indicating that a diet rich in anti-inflammatory nutrients can help reduce COPD risk. These findings suggest that vegetable consumption supports improved respiratory function, and a composite dietary pattern incorporating various food groups may help reduce the prevalence of COPD in the adult population.