1,720,991 research outputs found
Self-rated Health Over the Life Course: Evidence from the 1958 and 1970 British Birth Cohorts
No full textThe Role of Education at Young and Older Ages in Explaining Health Inequalities in Europe
No full textOverweight and obesity in childhood and adolescence: Findings from the UK millennium cohort study, up to age 14
No full textThe arrival of the new coronavirus in the era of chronic degenerative diseases
No full textIl 9 gennaio 2020, il Chinese Centre for Disease Control ha identificato un nuovo Coronavirus, SARSCoV- 2, come agente responsabile del Covid-19. In circa due mesi il virus si e diffuso in tutto il mondo e l’11 marzo l’Organizzazione Mondiale della Sanita ha dichiarato il Covid-19 pandemia. L’Italia e stato il primo Paese europeo a esserne duramente colpito. Al suo arrivo, il virus ha trovato una popolazione con eta media elevata e alta prevalenza di patologie croniche. Questo ha aumentato la letalita e gravita del Covid-19 e, a sua volta, l’emergenza sanitaria che ne e derivata rischia di peggiorare gli esiti delle malattie croniche gia esistenti. E fondamentale analizzare fin da subito gli effetti collaterali della pandemia su altre patologie, per valutarne la portata e l’impatto. Utilizzando le conoscenze che abbiamo accumulato nel tempo e acquisito in queste settimane si potranno anticipare alcuni dei bisogni sanitari futuri e limitare gli effetti indiretti negativi di Covid-19
Depression deterioration of older adults during the first wave of the COVID-19 outbreak in Europe
No full textRationale: Determining who is particularly vulnerable to mental health deterioration during the COVID-19 pandemic is essential when designing and targeting interventions to mitigate the adverse psychological impacts of the outbreak. Older people have appeared to be less exposed to mental health deterioration compared with younger individuals, but most exposed to the risk of severe illness and death from the virus, as well as less equipped to use technologies for coping with lockdown measures. Objective: Amongst the old population, we aim at determining how depressive symptoms have changed during the first wave of the COVID-19 pandemic and identifying individual risk factors associated with changes in reporting depression. We are particularly interested in exploring the role of pre-existing mental health problems and evaluating gender differences. Method: Data come from the Survey of Health, Ageing and Retirement in Europe, in particular from the first COVID-19 survey administered in summer 2020. Logistic models are estimated and Average Marginal Effects computed to take the degree of individual unobserved heterogeneity into account comparing point estimates across samples. Multiple Imputation (implemented through Multivariate Imputation by Chained Equations) is used to replace missing data. Statistical power of the effect sizes is estimated by a simulation approach. Results: Pre-existing mental health problems, a diagnosis of affective/emotional disorders, a recent diagnosis of a major illness, and (only for men) job loss during the first wave of the outbreak are the most important risk factors. Statistical differences between genders emerge, with women experiencing higher levels of depression and greater worsening of mental health than men. Conclusions: To identify people at greater risk of depression deterioration during an outbreak it is very important to consider their pre-existing mental and general health, distinguishing severity level. On population level, it is also crucial to evaluate depression disorders separately by gender
Inequalities in avoidable hospitalisation in large urban areas: Retrospective observational study in the metropolitan area of Milan
No full textThe effect of sociodemographic factors on energy intake by time of day in the Italian over-50 population: a multilevel approach
No full textExcess hospitalizations and in-hospital mortality associated with seasonal influenza in Italy: a 11-year retrospective study
No full textImpact of chemotherapy-induced nausea and vomiting on health-related quality of life and resource utilization: A systematic review
No full textBackground: Chemotherapy-induced nausea and vomiting (CINV) is a particularly distressing event for oncology patients. This review aims at analyzing the impact of CINV on Health-Related Quality of Life (QoL) and on the use of healthcare resources. Methods: A systematic search was conducted according to the PRISMA statement on MEDLINE, EMBASE and NHS EED. Results: Sixty-seven studies were included in the final selection. Despite the availability of numerous treatment options, CINV was found to have a strong impact on HRQoL of patients. Direct costs are particularly affected, but this result could be due to scarcity of studies assessing indirect costs. Conclusions: Evidence supports the notion that CINV continues to have a negative impact on HRQoL of patients, even for those receiving moderately emetic chemotherapy. Further studies need also to collect data on the cost of CINV, particularly indirect costs, to ensure that decisions on use of healthcare resources are better supported
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