title: [Regional differences in health behaviour in bavaria - a multilevel analysis of a representative population questionnaire in combination with socioeconomic structural data].
abstract: OBJECTIVE
  There are regional differences in mortality in Bavaria. Although these regional dif-ferences in mortality were associated with behavioural risk factors and socioeconomic factors in a study conducted for this reason, the quantitative effect of behavioural risk factors and socio-economic factors as well as the regional structure on the individual health as a predictor of mortality were not known.
  
  
  METHODS
  Persons between the age of 18 and 80 were interviewed with the Behavioral Risk Factor Surveillance System (BRFSS) in two Bavarian regions with high mortality, two Bavarian regions with low mortality and in the capital of Bavaria, Munich. For regional structural data, the INKAR database was used. Data were analysed descriptively, with a multivariable-adjusted logistic regression and with a multilevel analysis.
  
  
  RESULTS
  There were lower proportions of persons with a good or very good state of health as well as adverse results for overweight/adipositas, the behavioural risk factors for doing sports, smoking and consuming fruits and vegetables and the socioeconomic factors education and unemployment in the two regions with high mortality "Ostbayerische Grenzregion" and "Oberfranken". In a multivariable adjusted logistic regression, the body mass index, smoking, doing sports, climbing stairs, consuming alcohol, being satisfied with the job and the interaction between education and marital status were found to have an influence on the individual health. The small remaining regional component could be explained in the multilevel analysis by different variables which describe the economical situation of the regions.
  
  
  CONCLUSIONS
  In accordance with the study hypotheses, a consistency between behavioural risk factors and regional differences in mortality could be observed. Socioeconomic influences and a small regional component are involved. In addition to specific prevention programmes for the target groups, structural support is also meaningful with regard to its potential health impact.
authors.affiliation: Die Institutsangaben sind am Ende des Beitrags gelistet.
authors.forename: D
authors.initials: D
authors.lastname: Kemptner
authors.forename: M
authors.initials: M
authors.lastname: Wildner
authors.forename: K
authors.initials: K
authors.lastname: Abu-Omar
authors.forename: W H
authors.initials: WH
authors.lastname: Caselmann
authors.forename: G
authors.initials: G
authors.lastname: Kerscher
authors.forename: P
authors.initials: P
authors.lastname: Reitmeir
authors.forename: A
authors.initials: A
authors.lastname: Mielck
authors.forename: A
authors.initials: A
authors.lastname: Rütten
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D005260:Female; D005858:Germany / Q000453:epidemiology; D015438:Health Behavior; D006801:Humans; D015994:Incidence; D008297:Male; D008875:Middle Aged; D009026:Mortality; D018570:Risk Assessment / Q000379:methods*; D012307:Risk Factors; D012959:Socioeconomic Factors; D011795:Surveys and Questionnaires; D016019:Survival Analysis; D015996:Survival Rate