Objective: The aim of this study was to assess the relationship between frailty syndrome and the nutritional status of older patients. Material and methods: This cross-sectional study was conducted in a sample of 120 patients hospitalized at the Geriatric Clinic between January 2017 and May 2017. The research tools were the Frailty Instrument of the Survey of Health, Ageing and Retirement in Europe (SHARE-FI), including relevant anthropometric measurements and muscle strength measurement, and the Mini Nutritional Assessment (MNA). All the calculations were performed using the Statistica 10.0 program. The p-values lower than 0.05 were considered as statistically significant. Results: The mean age of the participants was 71 years (SD=9.03). Most participants were from urban areas. More than half of the participants (53.3%) were women. Based on the SHARE-FI, the frailty syndrome was found in 33.3% of the participants. The mean value in the MNA scale was 24.4 points (SD=3.4). The frailty syndrome was significantly correlated to gender (p<0.025), financial status (p=0.036) and MNA (p<0.01) score. A statistically significant difference was observed between gender (p=0.026), financial status (p=0.016), place of living (p=0.046) and MNA score. Conclusion: This study confirmed significant correlations between the frailty syndrome and the nutritional status of older adults. In terms of prevention and clinical application, it seems important to control the nutritional status of older people and the frailty syndrome. The above-mentioned scales should be used to evaluate patients, analyze the risk and plan the intervention for that group of patients.

Objective: Breast cancer is one of the most common cancers in women, particularly among older women. This illness along with its treatment has a great impact on a woman’s subjective opinion of her quality of life and functioning in everyday life. The aim of this research was to assess the quality of life in women undergoing radiotherapy for the treatment of breast cancer. Patients and methods: The research was carried out in 120 patients with breast cancer undergoing radiotherapy in the Oncological Center in Bydgoszcz, Poland. Among the 120 examined patients, there were 30 women aged between 20–50 years and the remaining were over 50 years of age, including 42 women over the age of 60. Demographic and clinical data were collected and the Functional Assessment of Chronic Illness Therapy-Fatigue questionnaire (version 4) was used to assess health-related quality of life (HRQOL) of the patients. Statistical analyses were conducted using Statistica, version 10.0. Results: Patients with breast cancer undergoing radiotherapy rated their quality of life with an average of 113.83 points. Older patients above 71 years of age also displayed significantly higher HRQOL (122.70 points). A lower level of fatigue was noticed among patients ≤50 years and ≥71 years of age. Education and marital status also had an important impact on HRQOL. Educated women with a good financial situation had a significantly higher HRQOL, compared to those with a lower education and in poor living conditions. Conclusion: HRQOL and state of fatigue in breast cancer patients treated with radiotherapy depended upon their age. Both were high among women aged 71 years and above, while younger patients (51–70 years of age) had slightly lower values. Results suggest that sociodemographic factors influence the conditions of life of women treated with radiotherapy for breast cancer in a significant way. Overall, patients tolerated this type of treatment well.

Introduction: Frailty syndrome, as a physiological syndrome, is characterized by a gradual decline in physiological reserve and a lowered resistance to stress-inducing factors, leading to an increased risk of adverse outcomes. It is significantly connected with dependence on care and frequent hospitalizations.Objectives: The aim of the study was to describe socio-demographic, clinical and psychological profile of frailty older adults living in their own homes and to nursing homes.Methods: The study was conducted with 180 patients who were over 60 years of age, the mean (±SD) was 74.1 (±8.8) years. Among the subjects, 90 individuals were community-dwelling older adults. The survey used a list of socio-demographic questions, as well as the following scales: Mini-Mental State Examination (MMSE), Geriatric Depression Scale (GDS), SHARE-FI, and The World Health Organization Quality of Life (WHOQOL-Bref).Results: Pre-frailty was confirmed in 49 (27.2%) patients, and frailty syndrome was noticed in 47 patients (26.1%). The prevalence of frailty syndrome in the study group was related to: place of living (p < 0.001), age (p < 0.001), widowhood (p < 0.001), a poor economic situation (p < 0.001), basic education level (p < 0.001), living alone (p < 0.001), longer duration of illness (p < 0.001), comorbidities (p < 0.001), more medications taken (p < 0.001), deterioration of hearing (p = 0.003), impairment of cognitive functions (p < 0.001), depression (p < 0.001), and decreased quality of life (p < 0.001).Discussion: A lot of socio-demographic and medical factors, particularly cognitive and mental functioning were connected with the prevalence and progression of frailty syndrome in the study group. Quality of life was significantly dependent on the presence of frailty syndrome, both in homes and in nursing homes.

Introduction: Frailty syndrome occurs more frequently in patients with diabetes than in the general population. The reasons for this more frequent occurrence and the interdependence of the two conditions are not well understood. To date, there is no fully effective method for the diagnosis, prevention, and monitoring of frailty syndrome. This study aimed to assess the degree of metabolic control of diabetes in patients with frailty syndrome and to determine the impact of frailty on the course of diabetes using a retrospective analysis. Materials and Methods: A total of 103 individuals aged 60+ with diabetes were studied. The study population included 65 women (63.1%) and 38 men (36.9%). The mean age was 72.96 years (SD 7.55). The study was conducted in the practice of a general practitioner in Wielkopolska in 2018–2019. The research instrument was the authors’ original medical history questionnaire. The questions of the questionnaire were related to age, education, and sociodemographic situation of the respondents, as well as their dietary habits, health status, and use of stimulants. Other instruments used were: the Mini-Mental State Examination (MMSE), Lawton Scale (IADL—Instrumental Activities of Daily Living), Katz Scale (ADL—Activities of Daily Living), Geriatric Depression Rating Scale (GDS), and SHARE-FI scale (Survey of Health, Aging, and Retirement in Europe). Anthropometric and biochemical tests were performed. Results: In the study, frailty syndrome was diagnosed using the SHARE-FI scale in 26 individuals (25%): 32 (31.1%) were pre-frailty and 45 (43.7%) represented a non-frailty group. Statistical analysis revealed that elevated HbA1c levels were associated with a statistically significant risk of developing frailty syndrome (p = 0.048). In addition, the co-occurrence of diabetes and frailty syndrome was found to be a risk factor for loss of functional capacity or limitation in older adults (p = 0.00) and was associated with the risk of developing depression (p < 0.001) and cognitive impairment (p < 0.001). Conclusions: Concerning metabolic control of diabetes, higher HbA1c levels in the elderly are a predictive factor for the development of frailty syndrome. No statistical significance was found for the other parameters of metabolic control in diabetes. People with frailty syndrome scored significantly higher on the Geriatric Depression Rating Scale and lower on the MMSE cognitive rating scale than the comparison group. This suggests that frailty is a predictive factor for depression and cognitive impairment. Patients with frailty and diabetes have significantly lower scores on the Basic Activities of Daily Living Rating Scale and the Complex Activities of Daily Living Rating Scale, which are associated with loss or limitation of functioning. Frailty syndrome is a predictive factor for loss of functional capacity in the elderly.