The subjective quality of life (QOL) (i.e. individual evaluation of one's life experiences) has been studied according to a series of different parameters such as resource availability, and sociodemographic and clinical variables, at times yielding contradictory results. Subjective quality of life and standard of life from a selected sample of 45 chronic out-patients (25 schizophrenics, and 20 patients with major depression) were evaluated by means of structured interviews. Statistical analysis revealed that subjective QOL was largely independent of standard of living (so long as basic needs were satisfied), diagnosis, and clinical course of illness, and only partly dependent on sociodemographic variables. No correlation was found between clinically evaluated symptoms (both psychotic and depressive) and subjective QOL. On the contrary, significant correlations were found between self-ratings of depression, depressive cognitive attitudes and subjective ratings of QOL.

ObjectiveTo examine the relationship between sense of coherence (SOC) and physical health–related quality of life in patients with chronic illnesses by focusing on the mediating role of the mental component of quality of life.DesignCross-sectional survey design.SettingSecondary care; three departments of an Italian university hospital.MethodsThe participants (n=209) in the study were adult (≥18 years) outpatients with a chronic pathology (eg, diabetes, thyroid disorders or cancer) at any phase in the care trajectory (eg, pre-treatment, undergoing treatment, follow-up care). They agreed to participate in the study after providing their informed consent. Data were collected using a structured self-reporting questionnaire. Data analysis was carried out using SPSS, and mediation analysis was performed via PROCESS macro.ResultsThe SOC score of the study sample was equivalent to that of the general population (mean difference=−2.50, 95% CI −4.57 to 0.00). Correlation analysis showed that SOC was mainly correlated to the mental component (MCS) (r=0.51, p<0.01) of quality of life and then to the physical component (PCS) (r=0.35, p<0.01). Mediation analysis showed that SOC was directly related to MCS (p<0.001, 95% CI 0.62 to 0.99) but not to PCS (p=0.42, 95% CI −0.27 to 0.12). In turn, MCS was directly related to PCS (p<0.001, 95% CI 0.76 to 1.01). The indirect effect of SOC on PCS through MCS was significant (0.71, p<0.001, bootstrap 95% CI 0.54 to 0.91), thus supporting the mediating role of the mental component of quality of life.ConclusionThe indirect effect suggests that SOC is a marker of quality of life, especially of the mental component. The findings show that SOC is a psychological process that impacts patients’ mental health status, which in turn affects physical health. Better knowledge of a person’s SOC and how it affects his/her quality of life may help to plan tailoring interventions to strengthen SOC and improve health-related quality of life.

Parkinson's disease (PD) is a complex neurodegenerative disease with motor and non‐motor symptoms. Diagnosis is complicated by lack of reliable biomarkers. To individuate peptides and/or proteins with diagnostic potential for early diagnosis, severity and discrimination from similar pathologies, the salivary proteome in 36 PD patients was investigated in comparison with 36 healthy controls (HC) and 35 Alzheimer's disease (AD) patients. A top‐down platform based on HPLC‐ESI‐IT‐MS allowed characterizing and quantifying intact peptides, small proteins and their PTMs (overall 51). The three groups showed significantly different protein profiles, PD showed the highest levels of cystatin SA and antileukoproteinase and the lowest of cystatin SN and some statherin proteoforms. HC exhibited the lowest abundance of thymosin β4, short S100A9, cystatin A, and dimeric cystatin B. AD patients showed the highest abundance of α‐defensins and short oxidized S100A9. Moreover, different proteoforms of the same protein, as S‐cysteinylated and S‐glutathionylated cystatin B, showed opposite trends in the two pathological groups. Statherin, cystatins SA and SN classified accurately PD from HC and AD subjects. α‐defensins, histatin 1, oxidized S100A9, and P‐B fragments were the best classifying factors between PD and AD patients. Interestingly statherin and thymosin β4 correlated with defective olfactory functions in PD patients. All these outcomes highlighted implications of specific proteoforms involved in the innate‐immune response and inflammation regulation at oral and systemic level, suggesting a possible panel of molecular and clinical markers suitable to recognize subjects affected by PD.