title: Eating habits, health status, and concern about health: a study among 1641 employees in the German metal industry.
abstract: BACKGROUND
  Nutrition has been found to be associated with sociodemographic characteristics and concern about health. There is limited knowledge, however, of associations between blue-collar worker's diet, morbidity, and health care utilization.
  
  
  METHODS
  We conducted a survey on eating habits, physical symptoms, health care utilization, health status, and concern about health in two German metal companies. A self-administered questionnaire was mailed to employees of whom 1641 participated in the study (response rate 54. 7%).
  
  
  RESULTS
  Most employees were characterized by a combination of healthy and unhealthy eating elements. Using linear regression analyses adjusted for age, gender, and occupational status, healthy eating was negatively associated with stomach aches and headaches, but not with cardiovascular disease. Restricted activity days and days in hospital were associated with healthy eating, but self-assessed health status and physician consultations were not. Using stepwise multiple regression analysis, age, gender, and concern about health were strongly and morbidity was weakly related to diet. Occupational status, marital status, and number of children were not associated with nutrition.
  
  
  CONCLUSIONS
  Health promotion programs should motivate younger and male employees to participate in and aim toward increasing concern about health.
authors.affiliation: Department of Medical Sociology, University of Ulm, Ulm, D-89081, Germany.
authors.forename: B
authors.initials: B
authors.lastname: Reime
authors.forename: P
authors.initials: P
authors.lastname: Novak
authors.forename: J
authors.initials: J
authors.lastname: Born
authors.forename: E
authors.initials: E
authors.lastname: Hagel
authors.forename: V
authors.initials: V
authors.lastname: Wanek
mesh_terms: D000328:Adult; D000368:Aged; D001294:Attitude to Health; D004651:Employment / Q000706:statistics & numerical data; D005247:Feeding Behavior; D005260:Female; D005858:Germany; D006304:Health Status; D006306:Health Surveys; D006801:Humans; D016014:Linear Models; D008297:Male; D008669:Metallurgy / Q000706:statistics & numerical data*; D008875:Middle Aged; D009749:Nutrition Surveys; D011237:Predictive Value of Tests; D011795:Surveys and Questionnaires