Nicola Magnavita1, Adriano Fileni. 1. Department of Public Health, Università Cattolica del Sacro Cuore, Largo Gemelli 8, 00168, Rome, Italy, nicolamagnavita@gmail.com.
Abstract
PURPOSE: Scientific data have amply demonstrated that work stress increases the risk of cardiovascular disease. However, less attention has been given to the association between stress and metabolic syndrome. In this study, our aim was to investigate the relationship between work stress and metabolic syndrome in a population of radiologists. MATERIALS AND METHODS: Radiologists and radiotherapists taking part in scientific conferences were invited to compile a questionnaire to evaluate work stress and the main parameters for diagnosing metabolic syndrome (obesity, hypertension, elevated cholesterol level, elevated triglycerides, and hyperglycemia). RESULTS: Most of the doctors taking part in the survey (n = 383, 58.6 %) were found to have at least one pathological component; 47 subjects (7.1 %) had metabolic syndrome. All the variables indicating work stress, whether derived from Karasek's demand/control model or from the effort/reward model devised by Siegrist, were significant predictors of metabolic syndrome components. Radiologists with elevated levels of stress had a significantly higher risk of being affected by metabolic syndrome than colleagues with lower stress levels, whether stress was defined as "job strain", i.e., elevated work load and reduced discretionary power (OR 4.89, 95 % CI 2.51-9.55), or as "effort reward imbalance", i.e., mismatch between effort and reward for the work performed (OR 4.66, 95 % CI 2.17-10.02). CONCLUSIONS: Should the results of this cross-sectional study be confirmed by a subsequent longitudinal survey, they would indicate the need for prompt organizational intervention to reduce occupational stress in radiologists.
PURPOSE: Scientific data have amply demonstrated that work stress increases the risk of cardiovascular disease. However, less attention has been given to the association between stress and metabolic syndrome. In this study, our aim was to investigate the relationship between work stress and metabolic syndrome in a population of radiologists. MATERIALS AND METHODS: Radiologists and radiotherapists taking part in scientific conferences were invited to compile a questionnaire to evaluate work stress and the main parameters for diagnosing metabolic syndrome (obesity, hypertension, elevated cholesterol level, elevated triglycerides, and hyperglycemia). RESULTS: Most of the doctors taking part in the survey (n = 383, 58.6 %) were found to have at least one pathological component; 47 subjects (7.1 %) had metabolic syndrome. All the variables indicating work stress, whether derived from Karasek's demand/control model or from the effort/reward model devised by Siegrist, were significant predictors of metabolic syndrome components. Radiologists with elevated levels of stress had a significantly higher risk of being affected by metabolic syndrome than colleagues with lower stress levels, whether stress was defined as "job strain", i.e., elevated work load and reduced discretionary power (OR 4.89, 95 % CI 2.51-9.55), or as "effort reward imbalance", i.e., mismatch between effort and reward for the work performed (OR 4.66, 95 % CI 2.17-10.02). CONCLUSIONS: Should the results of this cross-sectional study be confirmed by a subsequent longitudinal survey, they would indicate the need for prompt organizational intervention to reduce occupational stress in radiologists.
Authors: Göran Fahlén; Anders Knutsson; Richard Peter; Torbjörn Akerstedt; Maria Nordin; Lars Alfredsson; Peter Westerholm Journal: Int Arch Occup Environ Health Date: 2005-12-13 Impact factor: 3.015
Authors: John M Violanti; Cecil M Burchfiel; Tara A Hartley; Anna Mnatsakanova; Desta Fekedulegn; Michael E Andrew; Luenda E Charles; Bryan J Vila Journal: Arch Environ Occup Health Date: 2009 Impact factor: 1.663
Authors: Taina Hintsa; Martin J Shipley; David Gimeno; Marko Elovainio; Tarani Chandola; Markus Jokela; Liisa Keltikangas-Järvinen; Jussi Vahtera; Michael G Marmot; Mika Kivimäki Journal: Occup Environ Med Date: 2009-10-09 Impact factor: 4.402
Authors: Nicola Magnavita; Marko Elovainio; Tarja Heponiemi; Anna M Magnavita; Antonio Bergamaschi Journal: BMC Public Health Date: 2011-07-28 Impact factor: 3.295
Authors: Tara A Hartley; Sarah S Knox; Desta Fekedulegn; Celestina Barbosa-Leiker; John M Violanti; Michael E Andrew; Cecil M Burchfiel Journal: J Environ Public Health Date: 2012-01-18
Authors: Helena Pham; Thomas Svensson; Ung-Il Chung; Akiko Kishi Svensson Journal: Int J Environ Res Public Health Date: 2022-04-22 Impact factor: 3.390