title: [The lifetime prevalence of mental disorders in north-eastern Germany. What is the influence of earlier mental morbidity on survey participation and prevalence estimates? Results from the SHIP-study].
abstract: OBJECTIVE
  This work addresses the life-time-prevalence of mental disorders in the adult general population in a German region (Vorpommern). We address effects of attrition on prevalence estimates.
  
  
  METHODS
  Analyses are based on a general population cohort study (29 - 89 years, Study of Health in Pomerania, N = 2400), using the M-CIDI to obtain life-time diagnoses of mental disorders according to ICD-10. Statistical weights were used to assess the effects of selective non-response on prevalence estimates related to baseline physical and psychological morbidity and sociodemographic variables, measured 10 years before.
  
  
  RESULTS
  In total 44.6 % of the male and 55.2 % of the female participants fulfilled criteria for at least one ICD mental disorder including specific phobias and tobacco dependence. Physical but not psychological baseline morbidity showed relevant associations to participation in the psychological examination ten years later. Weighted and unweighted prevalence estimates for mental disorders were very similar.
  
  
  CONCLUSIONS
  Our results illustrate the high burden due to mental disorders. Most prevalence estimates seem robust to prior mental comorbidities.
authors.affiliation: Institut für Community Medicine, Universitätsmedizin Greifswald, Greifswald. carsten.schmidt@unigreifswald.de
authors.forename: Carsten Oliver
authors.initials: CO
authors.lastname: Schmidt
authors.forename: Anna-Bettina
authors.initials: AB
authors.lastname: Watzke
authors.forename: Andrea
authors.initials: A
authors.lastname: Schulz
authors.forename: Sebastian E
authors.initials: SE
authors.lastname: Baumeister
authors.forename: Harald J
authors.initials: HJ
authors.lastname: Freyberger
authors.forename: Hans-Jörgen
authors.initials: HJ
authors.lastname: Grabe
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D015331:Cohort Studies; D003625:Data Collection / Q000706:statistics & numerical data; D005260:Female; D005858:Germany; D006306:Health Surveys / Q000706:statistics & numerical data*; D006801:Humans; D038801:International Classification of Diseases; D007406:Interview, Psychological; D008297:Male; D001523:Mental Disorders / Q000453:epidemiology* / Q000523:psychology; D008875:Middle Aged; D011157:Population Dynamics; D011788:Quality of Life; D015983:Selection Bias; D012737:Sex Factors; D055815:Young Adult