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Medicina is published by MDPI from Volume 54 Issue 1 (2018). Articles in this Issue were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence. Articles are hosted by MDPI on mdpi.com as a courtesy and upon agreement with Lithuanian Medical Association, Lithuanian University of Health Sciences, and Vilnius University.
Open AccessArticle

What Are the Predictors of Self-Assessed Health in Lithuanian Health Professionals?

1
Department of Preventive Medicine, Faculty of Public Health, Medical Academy, Lithuanian University of Health Sciences
2
Neuroscience Institute, Lithuanian University of Health Sciences
3
Institute of Hygiene 4 Institute of Health Research, Faculty of Public Health, Medical Academy, Lithuanian University of Health Sciences, Lithuania
*
Author to whom correspondence should be addressed.
Medicina 2013, 49(1), 5; https://doi.org/10.3390/medicina49010005
Received: 15 November 2012 / Accepted: 31 January 2013 / Published: 5 February 2013
Background and Objective. Scientific evidence indicates that patient safety and access to health care is linked to the well-being of health professionals. The self-assessed health status has been widely used as a health measure in different surveys. The aim of this study was to examine and determine the factors related to the self-assessed health status of health professionals.
Material and Methods
. The cross-sectional questionnaire surveys of nurses and physicians were carried out in randomly selected hospitals. A total of 1025 health professionals (739 nurses and 286 physicians) from 3 hospitals of different size located in 1 geographical region of Lithuania participated in the survey. The response rate among the nurses and the physicians was 89.2% and 52.5%, respectively. The overall response rate was 74.7%. The data on self-assessed health, demographic factors, anthropometric data, blood pressure, cholesterol level in blood, personal history of diseases, smoking, and alcohol consumption were gathered with the help of the questionnaire.
Results
. About two-thirds (64.1%) of the health professionals reported good or quite good health, and only 1.5% of the respondents reported quite poor or poor health. Multivariate logistic regression analysis revealed that the SAH status of health professionals was dependent on age (odds ratio [OR], 1.03; 95% confidence interval [CI], 1.02–1.05 [Model 1]; OR, 1.04; 95% CI, 1.02–1.06 [Model 2]), diseases (OR, 7.32; 95%, 5.18–10.35), heart diseases (OR, 12.09; 95% CI, 2.9–50.35), hypertension (OR, 2.53; 95% CI, 1.55–4.14), cancer (OR, 6.19; 95% CI, 1.27–30.13), gastrointestinal (OR, 3.54; 95% CI, 1.59–7.86) and musculoskeletal diseases (OR, 3.21; 95% CI, 1.71–6.02), smoking (OR, 2.1; 95% CI, 1.28–3.45 [Model 1]; OR, 2.00; 95% CI, 1.26–3.16 [Model 2]), and occupation (OR, 1.47; 95% CI, 1.04–2.07 [ Model 1]; OR, 1.54; 95% CI, 1.11–2.16 [Model 2]).
Conclusions
. Diseases are the main predictors of self-assessed health in health professionals. Advancing age and smoking also contribute to poorer self-assessed health.
Keywords: self-assessed health; self-reported disease; risk factors; health professionals; cross-sectional survey self-assessed health; self-reported disease; risk factors; health professionals; cross-sectional survey
MDPI and ACS Style

Misevičienė, I.; Strumylaitė, L.; Pajarskienė, B.; Žalnieraitienė, K. What Are the Predictors of Self-Assessed Health in Lithuanian Health Professionals? Medicina 2013, 49, 5.

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