18 research outputs found

    Comparison and potential determinants of health-related quality of life among rheumatoid arthritis, psoriatic arthritis, and spondyloarthritis: A cross-sectional study

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    Objectives: This study aimed to compare the health-related quality of life scores among rheumatoid arthritis, psoriatic arthritis, and spondyloarthritis and to evaluate socio-demographic and clinical determinantes of quality of life across diseases. Methods: The sample comprised 490 patients with rheumatoid arthritis, 198 with psoriatic arthritis, and 119 with spondyloarthritis who completed a series of health examinations and self-reported questionnaires. Quality of life was evaluated using the Short-Form 36 Health Survey, disease activity by DAS28-CRP, DAPSA, and ASDAS-CRP (for rheumatoid arthritis, psoriatic arthritis, and spondyloarthritis, respectively), depression and anxiety using the Hospital Anxiety and Depression Scale. ANOVA was used to compare the quality of life dimensions and their physical and mental summary measures among rheumatic diseases, and multivariate analysis was used to explore their potential determinants. Results: Rheumatoid arthritis had significantly worse scores than spondyloarthritis in the following dimensions: physical functioning, role limitation due to physical health, physical component score, and mental health. Psoriatic arthritis was not significantly different from the other two diseases. Multivariate analysis revealed that physical quality of life was mainly associated with disease activity across rheumatic diseases, rheumatological treatment and depression in rheumatoid arthritis and psoriatic arthritis. Mental quality of life is primarily associated with depression and anxiety across rheumatic diseases. Conclusion: There were differences in quality of life among patients with inflammatory rheumatic diseases, but overall, approximately uniform factors explained the variance in quality of life across diseases. Clinicians should develop general approaches and strategies for inflammatory rheumatic diseases to improve patients' quality of life

    Depression is associated with increased disease activity and higher disability in a large Italian cohort of patients with rheumatoid arthritis

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    Depression is a quite common comorbidity in patients with rheumatoid arthritis (RA) and is thought to influence its severity. This study aims to estimate, in a large cohort of Italian patients with RA, the prevalence of depression and to investigate the clinical correlates of depression in terms of disease activity and disability

    Gut microbiota diversity and T1DM onset: Preliminary data of a case-control study

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    Type-1 diabetes incidence is increasing during the last decades. Recently, a role of microbiota alteration is proposed as pre-diabetic and diabetic risk factor. A bicentric case-control study is in progress in Northern Italy. Here preliminary results are shown. The microbiome clusterization showed a division between cases and controls even if fingerprint profiles are heterogenic. Methanobrevibacter smithii is highly present only in few patients. The diversity index and the microorganism sequenced in cases and controls, seems to be quite dissimilar. The conclusive results could show a significant predictive value for the bio-indicators evaluated. Keywords: Type 1 diabetes mellitus, Microbiota, Children, Methanobrevibacter smithii, qRT-PC

    Gut microbiota, behavior, and nutrition after type 1 diabetes diagnosis: A longitudinal study for supporting data in the metabolic control

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    Introduction: Type 1 diabetes (T1D) risk involves genetic susceptibility but also epigenetics, environment, and behaviors. Appropriate metabolic control, especially quickly after the diagnosis, is crucial for the patient quality of life. Methods: This study aimed to produce a quantitative comparison of the behavior, nutrition habits, and gut microbiota composition between the onset and the 1-year follow-up in 35 children with T1D. Results and discussion: At follow-up, with the metabolic control, many parameters improved significantly, with respect to the onset, such as glycated hemoglobin (-19%), body mass index (BMI), and also nutritional behaviors, such as normal calorie intake (+6%), carbohydrate intake (-12%), extra portion request (-4%), and meals distribution during the day. Moreover, glycated hemoglobin decrement correlated with both total and rapid absorption carbohydrate intake (Spearman's rho = 0.288, 95% CI 0.066-0.510, p = 0.013), showing as the nutritional behavior supported the insulin therapy efficiency. The next-generation sequencing (NGS) analysis of microbiota revealed abundance differences for Ruminococcus bromii and Prevotella copri (higher at onset, p < 0.001) and the genera Succinivibrio and Faecalibacterium (lower at onset, p < 0.001), as a consequence of nutritional behavior, but it was not the only changing driver. The qRT-PCR analysis showed significant variations, in particular for Bacteroidetes and Bifidobacterium spp. (+1.56 log gene copies/g stool at follow-up, p < 0.001). During the year, in 11% of the patients, severe clinical episodes occurred (hypoglycemic or ketoacidosis). The likelihood of a severe hypoglycemic episode was modulated when the Methanobrevibacter smithii amount increased (odds ratio 3.7, 95% CI 1.2-11.4, p = 0.026). Integrated evaluation, including nutritional behavior and microbiota composition, could be considered predictive of the metabolic control management for children cohort with a recent diagnosis of T1D

    Risk factors for type 1 diabetes, including environmental, behavioural and gut microbial factors: a case&#8211;control study

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    Type 1 diabetes (T1D) is a common autoimmune disease that is characterized by insufficient insulin production. The onset of T1D is the result of gene-environment interactions. Sociodemographic and behavioural factors may contribute to T1D, and the gut microbiota is proposed to be a driving factor of T1D. An integrated preventive strategy for T1D is not available at present. This case-control study attempted to estimate the exposure linked to T1D to identify significant risk factors for healthy children. Forty children with T1D and 56 healthy controls were included in this study. Anthropometric, socio-economic, nutritional, behavioural, and clinical data were collected. Faecal bacteria were investigated by molecular methods. The findings showed, in multivariable model, that the risk factors for T1D include higher Firmicutes levels (OR 7.30; IC 2.26-23.54) and higher carbohydrate intake (OR 1.03; IC 1.01-1.05), whereas having a greater amount of Bifidobacterium in the gut (OR 0.13; IC 0.05 - 0.34) was a protective factor for T1D. These findings may facilitate the development of preventive strategies for T1D, such as performing genetic screening, characterizing the gut microbiota, and managing nutritional and social factors

    Moral Distress and Burnout in Neonatal Intensive Care Unit Healthcare Providers: A Cross-Sectional Study in Italy

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    Moral distress (MD) in healthcare providers is widely recognized as a serious issue in critical care contexts. It has the potential to have negative impacts on both personal and professional wellbeing, the quality of care provided and staff turnover. The aim of this study was to investigate the relationship between MD and burnout among neonatal intensive care unit (NICU) healthcare professionals and identify the possible factors associated with its occurrence. Participants were asked to complete an online survey, which covered sociodemographic and professional information and included two self-report questionnaires (Italian Moral Distress Scale-Revised and Maslach Burnout Inventory). The sample comprised 115 healthcare providers (nurses and physiotherapists: 66.1%; physicians: 30.4%; healthcare assistants: 3.5%) working in four NICUs located within the province of Turin, Italy. The results revealed overall low levels of MD, with no significant differences between nurses/physiotherapists and physicians. Nurses/physiotherapists showed a statistically significant higher percentage of personal accomplishment burnout (32.9%) compared with physicians (8.6%; p = 0.012). MD was associated with the emotional exhaustion dimension of burnout. Spirituality and/or religiousness was shown to be a moderating variable. Further research is needed to deepen our understanding of the correlation between MD and burnout and the role of spirituality and/or religiousness as moderators

    The Elephant in the Room: A Cross-Sectional Study on the Stressful Psychological Effects of the COVID-19 Pandemic in Mental Healthcare Workers

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    Despite extensive research on COVID-19’s impact on healthcare workers, few studies have targeted mental health workers (MHWs) and none have investigated previous traumatic events. We investigated psychological distress in MHWs after the first lockdown in Italy to understand which COVID-19, sociodemographic, and professional variables represented greater effects, and the role of previous trauma. The survey included sociodemographic and professional questions, COVID-19 variables, and the questionnaires Life Events Checklist for DSM-5 (LEC-5), Impact of Event Scale—Revised (IES-R), and Depression Anxiety Stress Scales 21 (DASS-21). On the 271 MHWs who completed the survey (73.1% female; mean age 45.37), we obtained significant effects for contagion fear, experience of patients’ death, increased workload, and worse team relationship during the first wave. Nurses were more affected and showed more post-traumatic stress symptoms, assessed by IES-R, and more depressive, anxiety, and stress symptoms, assessed by DASS-21. The strongest risk factors for distress were greater age, professional role, increased workload, worse team relationship, and separation from family members. Previous experience of severe human suffering and unwanted sexual experiences negatively impacted IES-R and DASS-21 scores. Being a psychiatrist or psychologist/psychotherapist and good team relationships were protective factors. Recent but also previous severe stressful events might represent relevant risk factors for distress, reducing resilience skills. Identifying vulnerable factors and professional categories may help in the development of dedicated measures to prevent emotional burden and support psychological health. Highlights: Psychological distress in mental health workers in the COVID-19 pandemic is more frequent in nurses, who experience more depression, anxiety, and post-traumatic stress symptoms. Previous and recent stressful events are risk factors for distress and should guide intervention strategies
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