Short chain fatty acids (SCFAs) being produced during fermentation of non-digestible polysaccharides are regulatory compounds with the potential to influence inflammatory, as well as emotional state and cognition through the gut–brain axis. We analyzed the association between stool concentration of SCFAs (acetic acid (C 2:0), propionic acid (C 3:0), isobutyric acid (C 4:0 i), butyric acid (C 4:0 n), isovaleric acid (C 5:0 i) valeric acid (C 5:0 n), isocaproic acid (C 6:0 i), caproic acid, and (C 6:0 n) heptanoic acid (C 7:0)) and depressive symptoms among women and looked for the potential confounders of microbiota byproduct synthesis. We enrolled 116 women aged 52.0 ± 4.7 years and recognized depression in 47 (40.52%). To analyze the emotional state, Beck’s Depression Inventory (BDI) was used. We assessed SCFAs content by means of gas chromatography. Fiber intake was estimated using parts of food frequency questionnaire. The content of acetic acid was significantly lowered compared to non-depressed women (median {IQR}: 29.49 {20.81} vs. 34.99 {19.55}, p = 0.04). A tendency toward decreased level of propionic acid was noticed (median {IQR}: 16.88 {9.73} vs. 21.64 {12.17}, p = 0.07), while the concentration of isocaproic acid was significantly increased in (median {IQR}: 0.89 {1.15} vs. 0.56 {0.95}, p < 0.01) comparison to matched healthy subjects. We found negative correlations between acetate, propionate, and Beck’s score (r = −0.2, p = 0.03; r = −0.21, p = 0.02, respectively). Statistically significant correlations between acetate and propionate and BDI somatic score (r = −0.21, p = 0.01; r = −0.17, p = 0.03), as well as correlations regarding isocaproic and both cognitive/affective (r = 0.37, p = 0.0001) and somatic (r = 9.37, p < 0.001) scores were found. Women who declared current usage of lipid-lowering and thyroid drugs in the past, had higher content of C6:0-i (Users; median {IQR}: 1.91 {3.62} vs. non-users; 0.55 {0.67}; p = 0.0048).and lower of C2:0 (Users; median {IQR}: 23.07 {12.80} vs. non users 33.73 {21.44}; p = 0.041), respectively. No correlations regarding SCFAs concentration and fiber intake were found. We concluded that SCFAs may potentially contribute to depression phenotype, however, due to the small size of groups suffering from moderately heavy (n = 5) and severe (n = 7) depression, the conclusion should be treated with caution. Pharmacotherapy of hyperlipidemia and thyroid disease might affect SCFAs synthesis. Studies with more participants are required.

Pancreatic cancer is the malignant disease with the highest mortality rate, and it ranks third in the world after lung and colon cancer. Identified factors that increase the risk of developing pancreatic cancer include chronic pancreatitis, radiation therapy to the pancreatic area due to another cancer, diabetes mellitus, obesity, smoking, and age. The objective of this study was to present the current state of knowledge on the quality of life of patients diagnosed with pancreatic cancer, factors that determine QoL, and ways of coping with the disease. The low curability and low survival rates of pancreatic cancer significantly affect the quality of life of patients, often in the form of significant deterioration, especially in terms of mental changes, cognitive functions, and coping with the disease. Cognitive decline with comorbid depression is also typical for patients with this type of cancer. Research has shown that the health-related quality of life of patients with pancreatic cancer is low, so further research is needed to improve the situation in this area.

Numerous studies show that changes occurring in a woman’s organism during menopause may lower her quality of life. This study involved 630 healthy postmenopausal women from Poland. Its purpose was to assess their quality of life in relation to socio-demographic variables, medical data and personality profiles. The authors used the Short Form Health Survey (SF-36) to assess quality of life, the NEO-Five Factor Inventory to measure personality traits, and the Blatt-Kupperman Menopausal Index to estimate severity of climacteric symptoms. The study demonstrated significant relationships between quality of life and variables such as: age, education, employment status, and the use of menopausal hormone therapy. An analysis of personality traits revealed correlations between the openness to experience scores and the quality of life within physical functioning, vitality, and mental health. Neuroticism, agreeableness and extroversion significantly correlated with all quality of life domains. Conclusions: (1) Age, education and employment status have significant effects on the selected quality of life domains after menopause. (2) Quality of life within the general health domain was assessed lower by MHT-users (Menopausal hormone theraphy (MHT)). (3) Health-related quality of life is also influenced by personality traits, which are relatively stable throughout life.

The aim of this study was to assess the severity of depressive symptoms in postmenopausal women, depending on serum Mg and Zn levels. The study involved 171 postmenopausal women from Poland, who were not using menopausal hormone therapy (MHT). The intensity of depressive symptoms was evaluated using a standard research technique, the Beck Depression Inventory (BDI). The plasma Mg and Zn concentrations were measured. Depressive symptoms of different severity levels were diagnosed in 36.8 % of the women. The mean serum Mg level was 1.53 ± 0.28 mg/dL, and Zn level was 72 ±14 μg/dL. The women with higher serum Mg and Zn levels had less depressive symptoms, and this observation is a precious information which can be used when planning depressive disorder prevention programmes.

Depressive symptoms that are faced by women in the pre-, peri-, and postmenopausal periods are determined by a wide array of sociodemographic, psychological, and biological variables. The aim of our study was to identify factors that contribute to depressive problems at this stage of life. The study included 815 healthy Polish women aged 45–60 years. The survey part was conducted using the Beck Depression Inventory (BDI), the State–Trait Anxiety Inventory (STAI), the Neuroticism–Extroversion–Openness Five Factor Inventory (NEO-FFI), and a self-developed questionnaire. Genetic analysis was also performed. Depressive symptoms were observed in 25.5% of participants. 70% of the women were postmenopausal. No statistically significant differences in the severity of depressive symptoms were demonstrated with regard to genetic variables (p > 0.05). Reproductive capacity (p < 0.001), employment (p < 0.001), and being married (p < 0.018) were found to reduce the incidence of depressive symptoms. The contribution of personality and anxiety as a trait to depressive symptoms varied. Conclusions: The factors predisposing pre-, peri-, and postmenopausal women to depressive symptoms include lower education, lack of a life partner, unemployment, high anxiety, and neurotic personality. No evidence was found for the contribution of genetic factors to depressive symptoms in the examined women.

Numerous observations suggest a possible connection between the levels of Mg, Zn, Fe, and Zn and the incidence of depressive symptoms. Depression is two to three times more common in women than in men. The menopausal period is extremely conducive to depressive disorders. The aim of this study was to assess the severity of depressive symptoms in postmenopausal women depending on the levels of Mg, Zn, Ca, Cu, and Fe. The study included 198 healthy postmenopausal women at the average age of 56.26 ± 5.55 years. In the first part of the study, standardized research tools were used, namely the Primary Care Evaluation of Mental Disorders (PRIME-MD) and the Beck Depression Inventory (BDI). The second part involved biochemical analysis of Mg, Zn, Ca, Cu, and Fe levels in blood serum. The lowest Cu levels were observed in women without depressive symptoms (1.07 ± 0.22 mg/l) and the highest in those with severe depressive symptoms (1.19 ± 0.17 mg/l), (p ≤ 0.05). The lowest Mg levels were observed in women with depressive symptoms (14.28 ± 2.13 mg/l), and the highest in women without depressive symptoms (16.30 ± 3.51 mg/l), (p ≤ 0.05). The average serum Mg levels (15.75 ± 3.23 mg/l) decreased compared to the reference values (18.77–24 mg/l). What is striking is a potential relation between the levels of Mg and Cu and depressiveness. Our results indicate to a higher vulnerability to depression in a group of women with lower levels of Mg and higher levels of Cu.