Malnutrition is a growing public health problem leading to increased morbidity and mortality worldwide. Up to 50% of elderly patients are hospitalized due to this condition. In this review, we focused on analyzing the current diagnostic criteria for malnutrition among the elderly population and proposing promising solutions. Currently used diagnostic methods such as BMI or serum albumin levels are not sufficient to indicate malnutrition, which is affected by many factors, including the number of chronic diseases, multiple medications taken, or physical condition. Moreover, current recommendations are inadequate because they fail to account for various factors such as chronic illnesses, multiple medications, and bodily changes that are crucial in diagnostic evaluations. There is a noticeable gap between these recommendations and actual clinical practice. Nevertheless, developing more precise, non-invasive biomarkers and personalized nutrition strategies has to be explored. One of these strategies we discuss in our review is multidisciplinary approaches that combine nutrition, physical activity, and psychosocial support. Addressing malnutrition among the elderly should rely on standardized protocols and personalized interventions to enhance their nutritional health and overall well-being.

Background: Sexual health is a major component of human well-being. As repeatedly shown in research, satisfaction with sex life and sexual fulfillment correlate positively with quality of life (QoL) in most of its aspects. It is thus true that a reduced quality of one’s sex life and lack of sexual fulfillment can contribute to poorer QoL overall. The aim of this study is to describe an assessment of sexual dysfunction and factors affecting sexual dysfunctions of patients with rheumatoid arthritis (RA). Material and methods: 171 consecutive RA patients (mean age 48.3 ± 14.6) attending the rheumatology outpatient clinic. Standardized questionnaires used in the study were the sexological questionnaire, WHOQOL-BREF to assess QoL level, Disease Acceptance Scale, and VAS scale to assess pain intensity. Results: The mean duration of the disease in the study group was 13 ± 9 years, mean score of subjective assessment of mobility was 6.2 ± 1.6, and the mean score of the DAS-28 was 4.0 ± 1.9. The study group presented a mean level of disease acceptance (AIS 29.6 ± 11.6). The comparative analysis showed significant differences in reaching orgasm and declared sexual dysfunctions. These problems occurred more often in women than in men (34.2% vs. 18% and 43% vs. 40%, respectively). In univariate analysis, factors correlating positively with the frequency of declaring sexual dysfunction were subjective motor score less < 6 points, AIS < 36 points, WHOQOL-BREF < 59 points, disease activity ≥3.5 points, and VAS > 3. In multivariate logistic regression analysis, independent factors positively correlating with frequency of sexual dysfunction declaration were general QoL (β = 1.255; p = 0.035) and pain limiting social life (β = 1.564; p = 0.030). The absence of comorbidities correlated negatively and reduced the prevalence of sexual dysfunction (β = −1.030; p = 0.043). Patients with reduced QoL and patients with pain limiting social life had 3.5 and 4.8 times higher risk of sexual dysfunction than other patients, respectively. In contrast, those without comorbidities were 2.8 times more likely to be free of sexual dysfunction than those diagnosed with other chronic diseases besides RA. Conclusions: Sexual dysfunction is an emerging problem in both men and women with RA. The absence of comorbidities is an independent determinant of sexual dysfunction, whereas poor QoL and pain limiting social life are independent determinants that exacerbate sexual dysfunction in both genders.

The COVID-19 pandemic represents a global health and social challenge. However, the impact of a SARS-CoV-2 infection itself on mental health and sleep quality remains poorly understood. The purpose of the present uncontrolled prospective observational pilot study was to evaluate the impact of past COVID-19 disease on the incidence of quantitative and qualitative sleep disturbances. A group of 61 subjects (37 female, 24 male) reported sleep disturbances that had lasted for at least one month and had started after recovery from COVID-19. The study used self-reported instruments: the Epworth Sleepiness Scale (ESS) and Insomnia Severity Index (ISI), as well as an objective method—actigraphy—for quantitative analysis of sleep architecture. It was shown that sleep disturbances most commonly started after recovery (68.3%, n = 41) and lasted for more than one month (83.6%, n = 51). ESS scores of 7.8 ± 5.0 points indicate moderate daytime sleepiness, and ISI scores of 16.3 ± 5.8 points denote moderate insomnia. ESS scores were negatively correlated with total time in bed (r = −0.3780, p = 0.003), total sleep time (r = −0.2969, p = 0.020), and wakefulness after sleep onset (r = −0.2654, p = 0.039). In addition, ESS scores were correlated negatively with the respondents’ age (B = −0.17, p = 0.000) and time from COVID-19 onset. A positive correlation was found between wakefulness after sleep onset and ESS scores (B = −0.05, p = 0.039). ISI scores were positively correlated with time in bed (r = 0.3275, p = 0.010). Female gender was found to be a significant predictor of insomnia’s severity (B = 2.159, t = 3.04, p = 0.004). In conclusion, patients with a history of COVID-19 report long-lasting sleep disturbances that do not subside spontaneously. In the patient group studied, moderate levels of daytime sleepiness and insomnia were found. The most frequently reported problems included irregular sleep, frequent awakenings, and difficulty maintaining sleep, while normal sleep duration was preserved. These findings underscore the need for continued attention to the long-term consequences of COVID-19 on sleep health and emphasize the importance of targeted interventions to address these enduring sleep disturbances in affected individuals.

Background/Objectives: Assessing age-related health decline in the elderly is critical, yet standard metrics like Body Mass Index (BMI) can be misleading. Bioelectrical impedance analysis (BIA) is a popular method to assess body composition. This study evaluated the relationship between BIA-derived parameters, a comprehensive panel of laboratory biomarkers, and nutritional status in a cohort of Polish older adults. Methods: In a cross-sectional study of 126 elderly participants (106 women, 20 men; mean age: 72.4 years), we performed multi-frequency segmental BIA to measure fat-free mass, skeletal muscle mass, and phase angle (PA). Nutritional status was assessed using the Mini Nutritional Assessment (MNA). Venous blood samples were analyzed for a comprehensive panel of hematological, inflammatory (CRP), hormonal (leptin), and metabolic biomarkers. Results: The analysis characterized the body composition and biomarker profiles of the cohort. MNA-defined malnutrition risk was associated with significantly lower muscle mass and PA, and altered fluid distribution (higher extracellular-to-total body water ratio), but not with reduced fat mass. Adiposity correlated strongly with leptin and CRP. Hematological parameters were linked to lean mass, while zinc and albumin correlated with PA. Canonical analysis identified two distinct physiological axes: a dominant “adipo-hormonal” axis linking leptin to fat mass, and a secondary “metabolic–cellular integrity” axis linking zinc and iron status to Phase Angle and fluid balance. Conclusions: In older adults, nutritional risk is characterized by sarcopenia and fluid shifts, not low adiposity, highlighting the inadequacy of BMI. BIA parameters, especially the phase angle, may serve as promising indicators of cellular health that correlate strongly with key micronutrients, suggesting a potential role in complementary geriatric assessment.

Ankle sprains, particularly lateral sprains involving the anterior talofibular ligament (ATFL), represent up to 85% of ankle injuries and are common in both athletic and general populations. Despite their prevalence, misdiagnosis and inadequate treatment can lead to chronic ankle instability and post-traumatic osteoarthritis. This narrative review synthesizes current clinical guidelines and evidence-based practices for diagnosis and treatment. Clinical assessment, supported by the Ottawa Ankle Rules, ultrasound, and MRI, enables accurate injury classification. Conservative treatment is preferred for Grade I and II injuries, with early mobilization and functional support—especially within the POLICE protocol—demonstrating superior outcomes. Exercise therapy effectively reduces recurrence, while surgical intervention is reserved for Grade III injuries or chronic instability in high-demand patients. Timely and structured rehabilitation remains key to restoring ankle function.

Mammography is a critical tool in breast cancer screening and secondary prevention, enabling early detection and significantly reducing breast cancer mortality. This literature review assesses the effectiveness of mammography in identifying early-stage tumors, discussing its advantages, limitations, and specific challenges. Additionally, advancements in imaging techniques, such as 3D tomosynthesis, are examined, especially for their enhanced sensitivity in women with dense breast tissue, which reduces structural overlap and improves diagnostic precision. The integration of artificial intelligence (AI) in mammographic image analysis opens new opportunities, supporting radiologists by automating the detection and classification of potential lesions, thereby increasing screening efficiency and reducing false-positive rates. However, effective implementation of AI requires seamless integration with clinical systems and ongoing research to refine algorithms for diverse clinical needs. Furthermore, legal frameworks are essential to delineate responsibility in AI-supported diagnostics. This review emphasizes the status of breast cancer screening in Poland, where participation rates remain low despite the availability of free screenings. This highlights the need for improved public awareness and accessibility, especially in underserved areas. Overall, the findings underscore the fundamental role of mammography in breast cancer detection, with AI and other technological advancements significantly enhancing diagnostic accuracy while identifying areas for further improvement.