title: Chronic diseases, self-perceived health status and health risk behaviors: gender differences.
abstract: OBJECTIVE
  To analyze the association between chronic diseases and health risk behaviors and self-perceived health status by gender.
  
  
  METHODS
  A total of 39.821 adults (30+ years old) who participated in the system Vigilância de Fatores de Risco e Proteção para Doenças Crônicas por Inquérito Telefônico (VIGITEL--Telephone-Based Surveillance of Risk and Protective Factors for Chronic Diseases) carried out in 27 Brazilian capitals in 2006 were included in the study. The dependent variable was medical diagnosis reporting of diabetes, hypertension and myocardial infarct or stroke. Respondents were grouped into three categories: no disease; one chronic disease; and two or more. The associations between the dependent variable and sociodemographic characteristics, behavioral risk factors (smoking, consumption of fatty meat and whole milk, leisure-time physical inactivity, low fruit and vegetable intake and intake of added salt) and self-perceived health status were assessed in men and women using multinomial logistic regression.
  
  
  RESULTS
  Chronic disease reporting was higher among older men and women with lower schooling, BMI > or = 30 kg/m2 and who were on a diet. There was an inverse association between number of risk behaviors and two or more chronic diseases (OR: 0.64; 95% CI: 0.54;0.76 among men and OR: 0.86; 95% CI: 0.77;0.97 among women). Those men (OR: 33.61; 95% CI: 15.70;71.93) and women (OR: 13.02; 95% CI: 6.86; 24.73) who self-perceived their health as poor reported more chronic diseases. There was no statistical interaction between self-perceived health status and gender.
  
  
  CONCLUSIONS
  An inverse association between number of risk behaviors and reporting of two or more chronic diseases suggests a reverse causality and/or higher survival rates among those who take better care of themselves. Men seem to have poorer perception of their health status compared to women, after adjustment for confounders.
authors: Departamento de Medicina Preventiva e Social, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brasil. sbarreto@medicina.ufmg.br
authors: Sandhi Maria
authors: SM
authors: Barreto
authors: Roberta Carvalho de
authors: RC
authors: Figueiredo
mesh_terms: D000328:Adult; D000368:Aged; D001938:Brazil / Q000453:epidemiology; D002908:Chronic Disease / Q000453:epidemiology / Q000523:psychology; D003920:Diabetes Mellitus / Q000453:epidemiology; D004032:Diet / Q000706:statistics & numerical data; D004812:Epidemiologic Methods; D005260:Female; D015438:Health Behavior; D006304:Health Status; D006306:Health Surveys; D006801:Humans; D006973:Hypertension / Q000453:epidemiology; D008297:Male; D008875:Middle Aged; D009203:Myocardial Infarction / Q000453:epidemiology; D012309:Risk-Taking; D017678:Sex Distribution; D012959:Socioeconomic Factors; D020521:Stroke / Q000453:epidemiology