The study analyzes the relationship between nutritional status and depression symptoms severity in the older population. A total of 1975 older outpatients (1457 women and 518 men, median age 75) were included in the study. Depression symptoms severity was assessed using the Geriatric Depression Scale (GDS). Participants were divided into two subgroups according to GDS score. Group A: 0–5 points—without depression symptoms (1237, W:898, M:339), and group B: 6–15 points—with depression symptoms (738, W:559, M:179). The nutritional status of the patients was assessed with Mini Nutritional Assessment (MNA) and basic anthropometric variables (waist, hips, calf circumferences, body mass index (BMI), waist to hip ratio (WHR), and waist to height ratio (WHtR)). Education years and chronic diseases were also noted. Women with higher depression symptoms severity had significantly lower MNA scores [A: 26.5 (24–28) (median (25%−75% quartiles)) vs. B:23 (20.5–26)], shorter education time [A:12 (8–16) vs. B:7 (7–12)], smaller calf circumference [A:36 (33–38) vs. B: 34 (32–37)], and higher WHtR score [A:57.4 (52.3–62.9) vs. B:58.8 (52.1–65.6)]. Men with depression symptoms had lower MNA scores [A:26.5 (24.5–28) vs. B:24 (20.5–26.5)], shorter education [A:12 (9.5–16), B:10 (7–12)], and smaller calf circumference [A:37 (34–39), B:36 (33–38)]. In the model of stepwise multiple regression including age, years of education, anthropometric variables, MNA and concomitant diseases nutritional assessment, and education years were the only independent variables predicting severity of depression symptoms both in women and men. Additionally, in the female group, odds were higher with higher WHtR. Results obtained in the study indicate a strong relationship between proper nutritional status and education level with depression symptoms severity in older women and men.

Objectives: This study aimed to analyze the relationship between sucrose and fiber intake and symptoms of depression in older people. Material and Methods: The research group consisted of 813 community-dwelling subjects (221 males and 592 females, median age 75). The symptoms of depression were assessed using the Geriatric Depression Scale (GDS). Participants were divided into two subgroups according to the GDS scale. Group A: 0–5 points – no symptoms of depression (612, M:167, W:445), and group B: 6–15 points – with symptoms of depression (201, M:54, W:147). The level of nutrient consumption was assessed with a 24 h Recall Questionnaire and the software ‘Dieta 5.0’. Results: In males, consumption of sucrose (A: 30 g (18.1–53.3), B: 62.8 g (43.2–92.6)) (median (25%–75% quartile) and % of energy from sucrose (A: 7.3% (4.8–11.9), B: 13.5% (7.8–18.6)) were significantly higher in the group with symptoms of depression. Kilocalories per 1 g of fiber intake ratios were higher in depressive groups of both males (A: 89.1 kcal/g (68.1–109), B: 103.9 kcal/g (86.1–134.1)) and females (A: 78.6 kcal/g (62.1–99.9), B: 93 kcal/g (67.1–118.3)). Females without symptoms of depression consumed significantly more fiber (17.2 g (12.9–23.1)) than females with symptoms of depression (16.1 g (11.3–20)). Conclusions: This analysis shows increased kilocalories per 1 g of fiber intake in patients with symptoms of depression. In males, symptoms of depression were connected with higher consumption of sucrose and higher % of energy intake from sucrose. In females, greater fiber consumption was related to less frequent symptoms of depression.

Depression is one of the most common diseases in the older population. Difficulties in recognizing its etiology and recurrence make depression a major challenge for health care professionals. The risk of developing depression is influenced by many factors, including lifestyle and diet. Research studies have shown a relationship between the consumption of specific macro- and microelements and depression. However, so far, no nutritional recommendations on how to reduce the risk of the disease and its relapses in older adults have been developed. This review outlines research results of conducted studies and focuses on both basic and potentially promising elements of diet, such as proteins, carbohydrates, fats, dietary fiber, vitamins (D, E, C, and B), and microelements such as magnesium, zinc, selenium, or iron.

Background/Objectives: Hypomagnesemia and hypocalcemia are common conditions among older adults that may contribute to cognitive decline. However, most of the existing research has focused primarily on dietary intake rather than the actual serum levels of these nutrients or examined them separately. This study aims to investigate the relationship between hypomagnesemia, hypocalcemia, and the concurrent presence of both deficiencies in relation to cognitive performance among seniors. Methods: A total of 1220 hospitalized patients aged 60 and older were included in the analysis. The participants were categorized into four groups: those with normal serum levels of magnesium and calcium, those with hypomagnesemia, those with hypocalcemia, and those with both serum magnesium and calcium deficiencies. To evaluate the potential influence of age, sex, common comorbidities, and disturbances in magnesium and calcium levels on cognitive performance, two general linear models were employed, using the Mini-Mental State Examination (MMSE) and Clock-Drawing Test (CDT) as dependent variables. Results: After adjusting for age, sex, body mass index, and comorbidities, the mean values for the MMSE and CDT were 23.33 (95%CI: 22.89–23.79) and 5.56 (95%CI: 5.29–5.83) for the group with normomagnesemia and normocalcemia, 22.59 (95%CI: 21.94–23.24) and 5.16 (95%CI: 4.77–5.54) for the group with hypomagnesemia, 19.53 (95%CI: 18.36–20.70) and 4.52 (95%CI: 3.83–5.21) for the group with hypocalcemia, and 21.14 (95%CI 19.99–22.29) and 4.28 (95%CI 3.61–4.95) for the group with both hypomagnesemia and hypocalcemia, respectively. Magnesium and calcium deficiencies contributed to MMSE and CDT variance in the general linear models. Conclusions: Our findings indicate that in addition to age, body mass index, and chronic heart failure, both hypomagnesemia and hypocalcemia are associated with reduced cognitive performance.

Objectives: The aim of this study was to evaluate which anthropometric index, either body mass index (BMI) or weight-adjusted waist index (WWI), is more accurately associated with the prevalence of the most common chronic diseases and components of geriatric assessment in hospitalized older adults. Methods: The study included a total of 2945 hospitalized older adults (median age 82 years). The associations between the presence of chronic diseases and Comprehensive Geriatric Assessment (CGA) results were compared with WWI and BMI values. Results: The WWI was significantly higher in both sex groups suffering from hypertension, diabetes, osteoarthritis, and depression. In women, the parameter was increased among individuals with previous myocardial infarction, who presented heart failure symptoms or had chronic kidney disease diagnosed, whereas in men, among those with pulmonary diseases and osteoporosis, WWI was related to many CGA parameters oftentimes where BMI proved to fail. There was a positive correlation of WWI with the presence of depressive symptoms assessed with the geriatric depression scale (GDS) but no significant correlation with BMI. In multiple logistic regression models, WWI was a stronger predictor of depression as compared to waist circumference or the waist-to-height ratio. Conclusions: There is an association between a higher WWI and depression diagnosis as well as the presence of depressive symptoms according to the GDS in hospitalized older adults, both women and men. There is no such correlation between depression and BMI. Both high BMI and high WWI values seem to identify older patients with cardiometabolic diseases such as hypertension and diabetes. According to this study, WWI seems to be a promising indicator of depression risk and, similarly to BMI, a useful parameter for the assessment of cardiometabolic risk in older hospitalized adults.

Left ventricular hypertrophy (LVH) may result in the development of heart failure, which is widespread among people of advanced age. The pathophysiology of LVH is complex and its biochemical pathways are not fully understood in this group. Elevated soluble urokinase-type plasminogen activator receptor (suPAR), a biomarker of immune activation, including fibrosis, reflects subclinical organ damage in systematic diseases. The present study assesses the clinical role of suPAR measurement in determination of LVH-associated cardiac disorders in the elderly. The studied population consisted of 238 individuals aged 76–91 years; of these, 139 (58%) were diagnosed with LVH. Serum biomarkers measurement (suPAR, troponin T, NT-proBNP and CRP) and echocardiography were performed in all subjects. The suPAR level was significantly higher in the LVH group (4.01 vs. 3.82 ng/mL, p = 0.033) and correlated with the parameters of cardiac diastolic function. Stepwise logistic regression found suPAR level (OR = 1.55, p = 0.016), BMI (OR = 1.17, p = 0.0003) and hypertension (OR = 2.42, p = 0.046) to be independently associated with LVH in women. In men, the strongest predictors of LVH were hypertension (OR = 7.52, p = 0.014) and BMI (OR = 1.42, p = 0.032). The observations indicate suPAR as a promising marker reflecting LVH, especially in women at advanced age, independent of age-associated cardiac remodeling.