Self-Perceived Health, Life Satisfaction and Related Factors among Healthcare Professionals and the General Population: Analysis of an Online Survey, with Propensity Score Adjustment
| Autor: | Ramón Ferri-García, María del Mar Rueda, Andrés Cabrera-León |
|---|---|
| Přispěvatelé: | [Ferri-Garcia, Ramon] Univ Granada, Dept Stat & Operat Res, Granada 18071, Spain, [Rueda, Maria del Mar] Univ Granada, Dept Stat & Operat Res, Granada 18071, Spain, [Cabrera-Leon, Andres] Andalusian Sch Publ Hlth, Granada 18080, Spain, [Cabrera-Leon, Andres] Network Biomed Res Ctr Epidemiol & Publ Hlth CIBE, Madrid 28029, Spain, Ministerio de Ciencia e Innovacion, Spain, FPU grant from the Spanish Ministry of Science, Innovation and Universities |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Gerontology
propensity score adjustment 020205 medical informatics General Mathematics media_common.quotation_subject Population education 02 engineering and technology Burnout Ordinal regression multivariate ordinal regression models 03 medical and health sciences online survey self-perceived health 0302 clinical medicine Models Health care 0202 electrical engineering electronic engineering information engineering Computer Science (miscellaneous) Medicine 030212 general & internal medicine Engineering (miscellaneous) media_common Selection bias education.field_of_study business.industry lcsh:Mathematics Life satisfaction lcsh:QA1-939 Physician Calibration Propensity score matching Anxiety medicine.symptom business |
| Zdroj: | Digibug: Repositorio Institucional de la Universidad de Granada Universidad de Granada (UGR) Digibug. Repositorio Institucional de la Universidad de Granada instname Mathematics; Volume 9; Issue 7; Pages: 791 Mathematics, Vol 9, Iss 791, p 791 (2021) |
| Popis: | Healthcare professionals (HCPs) often suffer high levels of depression, stress, anxiety and burnout. Our main study aimswereto estimate the prevalences of poor self-perceived health, life dissatisfaction, chronic disease and unhealthy habits among HCPs and to explore the use of machine learning classification algorithms to remove selection bias. A sample of Spanish HCPs was asked to complete a web survey. Risk factors were identified by multivariate ordinal regression models. To counteract the absence of probabilistic sampling and representation, the sample was weighted by propensity score adjustment algorithms. The logistic regression algorithm was considered the most appropriate for dealing with misestimations. Male HCPs had significantly worse lifestyle habits than their female counterparts, together with a higher prevalence of chronic disease and of health problems. Members of the general population reported significantly poorer health and less satisfaction with life than the HCPs. Among HCPs, the prior existence of health problems was most strongly associated with worsening self-perceived health and decreased life satisfaction, while obesity had an important negative impact on female practitioners’ self-perception of health. Finally, the HCPs who worked as nurses had poorer self-perceptions of health than other HCPs, and the men who worked in primary care had less satisfaction with their lives than those who worked in other levels of healthcare. Ministerio de Ciencia e Innovación, Spain |
| Databáze: | OpenAIRE |
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