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
Submission received: 15 November 2012
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Accepted: 31 January 2013
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Published: 5 February 2013
Abstract
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.
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.
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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. https://doi.org/10.3390/medicina49010005
AMA Style
Misevičienė I, Strumylaitė L, Pajarskienė B, Žalnieraitienė K. What Are the Predictors of Self-Assessed Health in Lithuanian Health Professionals? Medicina. 2013; 49(1):5. https://doi.org/10.3390/medicina49010005
Chicago/Turabian StyleMisevičienė, Irena, Loreta Strumylaitė, Birutė Pajarskienė, and Kristina Žalnieraitienė. 2013. "What Are the Predictors of Self-Assessed Health in Lithuanian Health Professionals?" Medicina 49, no. 1: 5. https://doi.org/10.3390/medicina49010005
