Gesundheitsrisiken bei Unternehmern
Abstract
An einer Studie zum Zusammenhang zwischen der Gesundheit von Unternehmern, deren Arbeitsmerkmalen und deren Erfolg nahmen 53 klein- und mittelständische Unternehmer teil. Erfasste Arbeitsmerkmale waren: Handlungs-/Entscheidungsspielraum, Arbeitsintensität, Arbeitszeit, Konkurrenzdruck und Prognose über die Auftragsentwicklung. Der Unternehmenserfolg wurde über das Mitarbeiterwachstum, die Möglichkeit des Unternehmers, von seiner Firma abwesend zu sein (Urlaubstage), und dem erlebten Unternehmenserfolg operationalisiert. Gesundheitsindikatoren waren Depression, Angst, vitale Erschöpfung, Schlafstörungen und Bluthochdruck. Im Vergleich zur Gesamtbevölkerung wiesen die Unternehmer in allen untersuchten Gesundheitsvariablen häufiger Beeinträchtigungen auf. Regressionsanalysen ergaben, dass lange Arbeitszeiten und Konkurrenzdruck mit einer verzögerten Rückstellung des systolischen Blutdrucks (SBD) in der Freizeit und Nacht einhergingen. Alle untersuchten Erfolgsmerkmale waren für die Gesundheit prädiktiv. So war Mitarbeiterwachstum negativ mit dem SBD während der Arbeit sowie Schlafstörungen assoziiert. Je mehr Unternehmenserfolg erlebt wurde, desto geringer waren die Werte für vitale Erschöpfung und Depression. Die Urlaubsdauer war negativ mit Angst und vitaler Erschöpfung korreliert. Insgesamt hatte von den Arbeitsmerkmalen nur die Dauer der Arbeitszeit einen Effekt auf die Gesundheit von Unternehmern. Daneben existieren aber offensichtlich weitere Faktoren, die mit der Unternehmergesundheit in Beziehung stehen. Dies sind neben dem Konkurrenzdruck am Markt insbesondere Indikatoren des Unternehmenserfolgs.
The relationship between health and workload as well as entrepreneurial success was analyzed in 53 entrepreneurs. Workload data (decision latitude, job demand, working time, competition, market development) were determined by using structured interviews and Karasek's job content questionnaire. Firm success was operationalized by employee growth, the possibility of absence from the company (days of holiday), and perceived success. Health was measured by questionnaires for sleep disturbances, vital exhaustion, depression, and anxiety, and by 24 hour ambulatory blood pressure monitoring. Regression analyses showed that working time and strength of competition within the market were predictive for systolic blood pressure (SBP) during leisure time and night, but not during work. All variables measuring entrepreneurial success were predictive for health. Employee growth was related to decreasing SBP during work and to fewer sleep disturbances. The duration of holidays was negatively related to vital exhaustion and anxiety. Perceived company success was negatively related to depression and vital exhaustion. In conclusion, only the relationship between working time and bad health conformed to findings reported for the relationship between work and health in employees. However, there were additional indicators, especially indicators of competition and entrepreneurial success, that affected the health of entrepreneurs.
Literatur
1996). Erholung und Gesundheit. Gesundheitspsychologie (Band 7). Göttingen: Hogrefe.
(1989). Loss of control, vital exhaustion and coronary heart disease. In , Stress, personal control and health (pp. 215 – 235), Chichester: Wiley.
(1997). Exhausted subjects, exhausted systems. Acta Physiologica Scandinavica. Supplementum, 640, 153 – 154.
(2006). Maastricht Questionnaire. www.cpsych.org.uk/VE/index.htm.
(1994). Arbeitszeitgesetz (ArbZG). BGBl. I 1994, S. 1170.
(2004). Leitlinien der Deutschen Gesellschaft für Schlafforschung und Schlafmedizin: AWMF-Leitlinien-Register Nr. 063/001, „Nicht erholsamer Schlaf“. online: www.uni-duesseldorf.de/WWW/AWMF/.
(2005). A prospective study on the influences of workplace stress on mental health. Journal of Occupational Health, 47, 490 – 495.
(1997). Low job control and risk of coronary heart disease in Whitehall II (prospective cohort) study. British Medical Journal, 314, 558 – 564.
(2006). Online: www.bmwi.de/Navigation/Wirtschaft/mittelstandspolitik.html.
(1990). Subjective sleep characteristics as coronary risk factors, their association with Type A behaviour and vital exhaustion. Journal of Psychosomatic Research, 34, 415 – 426.
(2002). Pulse pressure and cardiovascular disease-related mortality: Follow-up study of the Multiple Risk Factor Intervention Trial (MRFIT). JAMA, 287, 2677 – 2683.
(2005). Online: europa.eu.int. Zugriff: August, 2005.
(2002). Netzwerk Arbeitsforschung in der neuen Arbeitswelt – FQMD, gefördert vom BMBF, Projektträger DLR (FKZ 01HN0149, 2002 – 2005).
(1997). Hemodynamic patterns of age-related changes in blood pressure: The Framingham Heart Study. Circulation, 96, 308 – 315.
(1999). Towards the 24-hour society – new approaches for aging shift workers? Scandinavian Journal of Work, Environment, and Health, 25, 610 – 615.
(1995). Hospital anxiety and depression scale – Deutsche Version (HADS-D). Manual. Bern: Huber.
(2002). The association between job demand, control and depression in workplaces in Japan. Journal of Occupational Health, 44, 427 – 428.
(2001). Angst und Depression in der Allgemeinbevölkerung: Eine Normierungsstudie zur Hospital Anxiety and Depression Scale. Psychotherapie, Psychosomatik, Psychologische Medizin, 51, 193 – 200.
(2001). Associations between overtime and psychological health in high and low reward jobs. Work & Stress, 15, 227 – 240.
(1987). Hypertension and other risk factors in coronary heart disease. American Heart Journal, 114, 918 – 925.
(2003). Prevalence and implications of uncontrolled systolic hypertension. Drugs and Aging, 20, 277 – 286.
(1979). Job demands, job decision latitude and mental strain: implications for job design. Administrative Science Quarterly, 24, 285 – 308.
(1985). Job content questionnaire and user's guide. Lowerll, MA: University of Massachusetts.
(1998). The Job Content Questionnaire (JCQ): An instrument for internationally comparative assessments of psychosocial job characteristics. Journal of Occupational Health Psychology, 3, 322 – 355.
(1990). Healthy work. New York: Basic Books.
(1999). Epidemiology of job stress and health in Japan: Review of current evidence and future direction. Industrial Health, 37, 174 – 186.
(2003). Alexithymia, depression and social support among japanese workers. Psychotherapy and Psychosomatics, 72, 307 – 314.
(2002). Dritte Europäische Umfrage über die Arbeitsbedingungen 2000. Luxemburg: Amt für amtliche Veröffentlichungen der Europäischen Gemeinschaften.
(2005). Work-related stressful life events and the risk of myocardial infarction. Case-control and case-crossover analyses within the Stockholm heart epidemiology programme (SHEEP). Journal of Epidemiology and Community Health, 59, 23 – 30.
(1998a). Psychosocial factors at work and subsequent depressive symptoms in the Gazel cohort. Scandinavian Journal of Work Environment and Health, 24, 197 – 205.
(1998b). Psychosocial work environment and cardiovascular risk factors in an occupational cohort in France. Journal of Epidemiology and Community Health, 52, 93 – 100.
(2005). Influence of overtime work, sleep duration, and perceived job characteristics on the physical and mental status of software engineers. Industrial Health, 43, 623 – 629.
(2000). Use and interpretation of ambulatory blood pressure monitoring: Recommendations of the British Hypertension Society. British Medical Journal, 320, 1128 – 1134.
(2002). Psychosocial factors at work, personality traits and depressive symptoms. Longitudinal results from the GAZEL Study. British Journal of Psychiatry, 181, 111 – 117.
(2002). Psychosocial work environment and psychological well-being: Assessment of the buffering effects in the job demand-control (-support) model in BELSTRESS. Stress and Health: Journal of the International Society for the Investigation of Stress, 18, 43 – 56.
(2004). Psychosocial factors at work and depression of central and eastern Europe. Social Science and Medicine, 58, 1475 – 1482.
(2005). Zusammenhang zwischen Arbeit und Depression. In , Arbeitsbedingtheit depressiver Störungen (S. 38 – 57). Bremerhaven: Wirtschaftsverlag NW.
(2004). Overtime in relation to blood pressure and mood during work, leisure and night time. Social Indicators Research, 67, 51 – 73.
(2005). Testing the job demand-control-support model with anxiety and depression as outcomes: The Hordaland Health Study. Occupational Medicine, 55, 463 – 473.
(1998). A longitudinal study of job strain and ambulatory blood pressure: Results from a three-year follow-up. Psychosomatic Medicine, 60, 697 – 706.
(1997). Health and safety problems associated with long working hours: A review of the current position. Occupational and Environmental Medicine, 54, 367 – 375.
(1990). Structural changes, ill health, and mortality in Sweden, 1963 – 1983: A macroaggregated study. International Journal of Health Services, 20, 27 – 42.
(2006). Erfolgreiche Unternehmen in Deutschland, Polen, Tschechien und Bulgarien (Band 2). Dresden: TUD press Verlag der Wissenschaften Dresden.
(1999). Blutdruck in Deutschland – Zustandsbeschreibung und Trends. Das Gesundheitswesen (Schwerpunktheft: Bundes-Gesundheitssurvey 1998), 61, 90 – 93.
(2003). Predictors of first onset major depressive episodes among white-collar workers. Psychiatry and Clinical Neurosciences, 57, 523 – 531.
(2001). Association between job strain and prevalence of hypertension: A cross sectional analysis in a Japanese working population with a wide range of occupations: The Jichi Medical School cohort study. Occupational and Environmental Medicine, 58, 367 – 373.
(1991). Long working hours and occupational stress-related cardiovascular attacks among middle-aged workers in Japan. Journal of Human Ergology, 20, 147 – 153.
(