Search results for " socio-economic statu"
showing 4 items of 4 documents
Real-world evidence from a European cohort study of patients with treatment resistant depression : Baseline patient characteristics
2021
Journal of affective disorders 283, 115-122 (2021). doi:10.1016/j.jad.2020.11.124
Childhood Environment and Adult Height among Polish University Students
2010
The objective of the study is to assess whether the choice of a childcare type (i.e., a mother giving up a professional career to take care of her child, employing a childminder, day care centre and kindergarten) depends on a child's family socio-economic status and to investigate whether the childcare type affects an adult's height. The material for the study was gathered in the cross-section research carried out among 783 female students and 535 male students of universities in Krakow and Opole (southern Poland). The height was measured with standard anthropometric instruments. To assess a socio-economic status (SES), the following factors were analysed: a place of living before entering …
Real-world evidence from a European cohort study of patients with treatment resistant depression: Baseline patient characteristics: Patient character…
2021
Background: Treatment resistant depression (TRD; failure to respond to ≥2 treatments) affects ~20% of patients with major depressive disorder (MDD). Real-world data could help describe patient characteristics and TRD disease burden, to assess the unmet needs of TRD patients in Europe. Methods: This observational study collected data from adults with moderate to severe TRD initiating a new treatment for depression, according to local standards of care. At baseline, socio-demographic characteristics, medical history, prior and current treatments were recorded. Disease severity, health-related quality of life (HRQoL), functionality and productivity were assessed. Results: Overall, 411 eligible…
HIV Prevalence in some African Territories: Socio-Economic Drivers
2022
In 2020, 35% of all HIV-positive people in the world lived in Eastern and Southern Africa. This work aims at assessing the relationship between socio-economic drivers and HIV prevalence at the sub-national level in these countries. The data used are drawn from the Demographic and Health Survey, in which a subset of respondents is tested for HIV. Using a fractional logistic regression model on clusters of individuals, middle-to-high wealth is positively associated with higher HIV prevalence, while a higher average number of children acts as a protective factor; moreover, higher proportions of people who have never been in sexual relationships lower their cluster’s HIV prevalence but HIV-posi…