Justyna Nowak

Background/Objective: The Controlling Nutritional Status (CONUT) score is a laboratory-based tool for identifying nutritional risk. This study examined associations of anthropometric and bioimpedance-derived body composition measures with CONUT and their ability to discriminate CONUT-defined nutritional risk in hospitalized older adults. Methods: This cross-sectional study included 164 hospitalized adults aged >60 years. Anthropometric measurements, derived indices, and bioimpedance-derived body composition parameters were assessed, and CONUT was calculated from routine laboratory data. Results: CONUT-defined nutritional risk was present in 43.3% of participants. Participants with nutritional risk had lower body weight, waist, mid-upper arm and calf circumferences, fat mass, body mass index (BMI), and body adiposity index (BAI) (all p < 0.05). Correlations with the CONUT score were weak; the largest absolute correlations were observed for fat mass in kilograms and fat mass percentage (both ρ = −0.25). In the fully adjusted model, mid-upper arm circumference (OR = 0.900; 95% CI 0.825–0.982), fat mass in kilograms (OR = 0.955; 95% CI 0.921–0.991), and fat mass percentage (OR = 0.928; 95% CI 0.887–0.972) showed nominally significant associations with lower odds of CONUT-defined nutritional risk. After FDR adjustment, only fat mass percentage remained statistically significant (q = 0.024). Discriminatory performance was modest; the highest areas under the curve (AUCs) were 0.655 for fat mass percentage, 0.647 for fat mass in kilograms, and 0.638 for mid-upper arm circumference. Conclusions: Anthropometric and body composition measures showed limited ability to discriminate CONUT-defined nutritional risk and should not be considered substitutes for CONUT. Among the evaluated measures, fat mass percentage showed the most robust association with CONUT-defined nutritional risk. More complex derived indices did not provide additional discriminatory value.

Background: Sarcopenia, characterized by age-related loss of muscle mass and strength, is a growing public health concern requiring early detection; this exploratory study evaluated a range of anthropometric measurements and indices to identify those most suitable for screening low muscle strength in hospitalized geriatric patients and to determine preliminary cut-off values that may support screening in settings with limited access to specialized equipment or trained personnel. Materials and Methods: In this cross-sectional study, 390 hospitalized geriatric-ward patients aged ≥ 60 years were included. The median age was 77.00 years (72.00, 82.00), and 258 participants (66.2%) were women. Anthropometric and body composition measurements were performed, and handgrip strength was assessed. Low muscle strength was defined according to The European Working Group on Sarcopenia in Older People 2 (EWGSOP2) criteria. Logistic regression analyses were used to assess associations between anthropometric measurements and low muscle strength, and receiver operating characteristic (ROC) curve analysis was used to evaluate their screening performance. Results: Among 390 participants, 67 (17.2%) had low muscle strength. Low muscle strength was associated with older age, lower body weight, BMI (Body Mass Index), fat-free mass, and smaller arm and calf circumferences. Higher arm and calf circumferences were significantly associated with a lower risk of low muscle strength in both women (OR = 0.913 and 0.884) and men (OR = 0.793 and 0.769; all p < 0.05). ROC analysis identified optimal screening cut-offs: arm 26.5 cm and calf 31.5 cm in women, and arm 29.5 cm and calf 33 cm in men, showing moderate screening performance, with an area under the ROC curve (AUC) of 0.63–0.78. Conclusions: Calf and arm circumferences are simple, quick, and non-invasive measurements that may be useful for screening low muscle strength in hospitalized geriatric patients, particularly in settings with limited access to specialized equipment. These measurements may help identify individuals who require further assessment for sarcopenia according to current clinical guidelines, with age being an important factor to consider. The proposed cut-off values should be considered hypothesis-generating rather than diagnostic thresholds for sarcopenia and require external validation in independent populations before they can be recommended for routine clinical use.

Obesity is a complex public health issue requiring a holistic, interdisciplinary approach. The aim of this narrative review is to present motivational interviewing as a communication-based intervention that supports non-stigmatizing, patient-centered care for individuals with excess body weight, with particular emphasis on fostering intrinsic motivation and sustainable lifestyle change. This narrative review examines motivational interviewing (MI) as a tool to support non-stigmatizing, patient-centered communication and promote behavior change in adults, children, and adolescents with overweight or obesity. Evidence from original studies, systematic reviews, and randomized controlled trials suggests that MI can help improve healthy eating, increase physical activity, and strengthen confidence in maintaining lifestyle changes. Its effectiveness is linked to communication based on empathy, partnership, acceptance, and support, free from stigma, which enhances patient autonomy, and encourages active engagement. Despite promising results, research gaps remain regarding the long-term effectiveness of MI and its integration into routine clinical practice.

Background/Objectives: Limiting sugar intake is an important factor in preventing many diseases, which has led to growing interest in products labeled as “no added sugar”. Reformulation of food products may affect the types and number of additives used, highlighting the need for systematic analysis. The aim off this study was to compare the presence of additives in food products available on the Polish market, categorized as “with added sugar” or “no added sugar”. Methods: The analysis was based on label data from 1278 food products collected in the second and third quarters of 2023. Products were categorized according to sugar content, and the presence, types, and number of additives were compared between groups. Results: Products without added sugar generally had a simpler composition and contained fewer additives. The most frequently identified additive groups in products with sugar were acidity regulators and antioxidants, present several times more often than in sugar-free products. Preservatives, colors, emulsifiers, and other additives were also significantly more frequent in sweetened products, while sweeteners were more common in sugar-free products. The average number of additives per product was 1.6 for sugar-free products and 3.8 for products with added sugar. Conclusions: The results indicate that the presence and number of additives are closely related to whether a product contains added sugar. Products labeled as “no added sugar” tend to have simpler compositions and fewer additives, reflecting changes in recipes related to sugar reduction.

Background: Poland is one of six countries implementing the Finnish Smart Family practice under the Joint Action Health4EUKids, aimed at supporting families in adopting lifestyle counseling methods and preventing childhood obesity across the European Union. Material and method: Since March 2024, Poland has implemented Smart Family tools through training sessions for professionals who work or will work with families of children with excess body weight. A total of 295 individuals have been trained, including 52.2% dietitians, 34.9% nurses, and 12.9% school staff such as teachers, school counselors, and psychologists. Before and after the training sessions, participants completed a survey assessing their knowledge of the Smart Family Practice, and familiarity with supportive tools. Results: Among 295 participants, nearly half reported no prior experience with family-based lifestyle change interventions. Post-training, over 70% expressed readiness to implement the SMART FAMILY method, with high interest (80.7%), motivation (76.5%), and satisfaction (83.6%). Most recognized its potential to support healthy lifestyles and parental engagement (>85%). Key barriers included lack of family cooperation (87.8%), staff shortages (81.0%), limited training (78.4%), and insufficient resources (43%). Conclusions: A high level of acceptance and motivation among participants indicates that the SMART FAMILY method has the potential for effective adaptation in Poland. Its implementation requires strengthening specialists’ skills and providing appropriate organizational resources. Overcoming barriers such as lack of experience, limited time, and difficulties in engaging families is crucial to achieving lasting intervention outcomes.

Background: Childhood obesity is a growing public health challenge in Poland and worldwide, associated with serious long-term health consequences. Effective prevention requires family-centered, evidence-based interventions that actively engage both children and their caregivers. This study presents the Finnish Smart Family practice—an evidence-based lifestyle counseling method developed by the Finnish Heart Association—and describes its adaptation and implementation in Poland as part of the EU Health4EUkids project. The study emphasizes the method’s practical utility for professionals working with families of children with obesity. Methods: The Smart Family approach is a structured lifestyle counseling method based on findings from the Special Turku Coronary Risk Factor Intervention Project (STRIP) that is grounded in health psychology and strength-based counseling principles. Unlike traditional counseling, which focuses mainly on information transfer, Smart Family promotes motivation, families’ active participation, and recognition of their strengths in areas such as nutrition, physical activity, sleep, and oral hygiene. The method uses practical tools including the Smart Family card, other supporting materials, and dedicated online platforms for both families and healthcare providers. These tools enable families to self-assess their lifestyle, select discussion topics during visits, and set achievable goals while supporting professionals in initiating non-judgmental, collaborative conversations. In Poland, the program was adapted using culturally appropriate materials and professional training, followed by pilot implementation in primary healthcare and educational settings that included pre-implementation planning, practical training sessions, the application of intervention tools, and outcome evaluation. Results: Pilot implementation demonstrated high usability and effectiveness. The approach enabled non-judgmental, supportive engagement with families, facilitated active participation in setting health goals, and promoted sustainable lifestyle changes in nutrition, physical activity, sleep, and other health behaviors. Evaluation highlighted the importance of supporting program objectives at the national level, standardizing child healthcare practices, and engaging media and local authorities to create a supportive ecosystem. Conclusions: The Polish experience confirms that Smart Family is an evidence-based intervention that strengthens professional competence, provides practical tools for family-centered care, and supports the long-term prevention of child-hood obesity and related non-communicable diseases. Its integration into healthcare and educational settings offers a promising strategy for improving public health outcomes.

Background/Objectives: The increasing presence of “no added sugar” products in the Polish food market provides consumers and nutritionists with access to products with varying nutritional compositions. Comparing the nutritional and energy values of products with and without added sugar provides objective data on their composition, which is important for informed diet planning and for monitoring differences between product groups. Methods: The research material included a total of 1278 food products, including 744 labeled “without added sugar” and 534 containing added sugar, obtained from four online stores and three offline retail outlets in Poland in the second and third quarters of 2023. The product assessment was based on an analysis of the nutritional and energy value, expressed per 100 g of each product. Results: The quantitative analysis revealed that products with added sugar were characterized by a higher energy value and a statistically significantly higher content of saturated fatty acids, carbohydrates, and sugars. Conclusions: Comparison of selected product groups revealed significant differences in nutritional and energy values. Analyzing these differences provides a practical overview of product composition and can be a useful source of information for consumers and nutritionists.

Background/Objectives: Aging is linked to a loss of muscle mass and strength, which increases the risk of falls, disability, and lower quality of life. Identifying individuals at risk of sarcopenia, cachexia, or malnutrition is important. In settings with limited access to advanced diagnostics, simple anthropometric measurements can serve as practical alternatives. This study aimed to evaluate simple, quick, and non-invasive anthropometric measurements as indicators of muscle mass in older adults, based on body composition analysis (BIA). Methods: The study included 361 patients admitted to a geriatric ward. Standardized protocols were used to measure anthropometric and body composition parameters, including bioelectrical impedance analysis (BIA). Various body composition indices were calculated, such as body mass index (BMI), body adiposity index (BAI), waist-to-hip ratio (WHR), visceral adiposity index (VAI), fat-free mass index (FFMI), and fat mass index (FMI). Results: Strong positive correlations were found between body mass and muscle mass in both women and men. Among anthropometric measures, calf circumference showed the strongest correlation with muscle mass (R = 0.798 in women; R = 0.744 in men, p < 0.001). Other indices, including BMI (R = 0.733 in women; R = 0.606 in men, p < 0.001), FFMI (R = 0.697 in women; R = 0.721 in men, p < 0.001), and FMI (R = 0.600 in women; R = 0.354 in men, p < 0.001), were also positively correlated with muscle mass. Conclusions: Calf circumference is a simple, quick, and non-invasive measure that can effectively estimate muscle mass in older adults. Although other anthropometric parameters, such as body mass, BMI, FMI, and FFMI, also showed positive correlations with muscle mass, calf circumference appears to be the most practical, as it requires minimal equipment, little time, and limited preparation. This makes it particularly useful for routine assessments in primary care and long-term care settings, where access to advanced diagnostic tools like BIA or DXA is limited. These findings support the use of simple anthropometric measurements as cost-effective and easily accessible alternatives for estimating muscle mass in older adults. Further research is needed to determine appropriate cut-off points for specific populations and sexes.

Background/Objectives: Nurses play a vital role in healthcare, yet their demanding working conditions, including long hours, shift work, and stress, can negatively impact health behaviors. In Poland, empirical data on nurses’ eating habits and body composition remain limited. Therefore, this study aimed to evaluate body composition and dietary habits among nurses, and to identify significant relationships and associations between these variables. Methods: A cross-sectional observational study was conducted among 460 Polish nurses. The mean age of the respondents was 45.07 years (SD ± 11.98). Body composition was assessed using the Tanita MC-780 PLUS MA analyzer, and eating behaviors were measured with the standardized My Eating Habits questionnaire (MEH). Advanced statistical analyses including k-means clustering, ANOVA, chi-square tests, Spearman’s correlation, ROC curves, decision tree modeling, and heatmap visualization were used to identify associations. Results: The MEH scores among nurses indicated average eating behavior. However, excess body fat, overweight/obesity, shift work, and holding multiple jobs were significantly associated with emotional overeating, habitual overeating, and restrictive eating. Decision tree analysis identified Body Mass Index (BMI), fat-free mass (FFM) and comorbidities as key predictors of problematic eating patterns. Interaction effects showed that shift work combined with higher BMI further increased the risk of maladaptive behaviors. Heatmaps confirmed the strongest MEH scores in participants with elevated BMI and FFM. Conclusions: The findings underscore the need for targeted workplace interventions promoting healthy eating and weight control among nurses. Recognizing risk factors such as excess weight or multiple job holding can aid in designing effective prevention and health promotion strategies tailored to healthcare professionals.

Comparison of Body Mass Index Range Criteria and Their Association with Nutrition-Related Risk: A Cross-Sectional Study in Polish Older Adults - Article abstract #948384