title: Influence of proxy respondents in children's health interview surveys.
abstract: OBJECTIVE
  To study the influence of the proxy respondent on health interview surveys in children.
  
  
  METHODS
  Cross sectional study.
  
  
  METHODS
  Children under the age of 15 years drawn from the general population of Catalonia, Spain.
  
  
  METHODS
  The Catalan Health Interview Survey consisted of a multistage probability sample representative to the population of Catalonia. The sample size was 2433 children younger than 15 years of age. The interviews were answered by proxy respondents (the mother, father, or other carer), with the questionnaire adapted for the proxy respondent. Logistic regression models were used to analyse the relation between the proxy respondent's characteristics and health status and health care utilisation, controlling for the effect of sociodemographic factors.
  
  
  RESULTS
  Proxy respondent's characteristics influenced the reports of chronic conditions and accidents within the last year. Proxy respondents over 55 years (OR = 0.47; 95% CI = 0.26, 0.82), men (OR = 0.69; 95% CI = 0.53, 0.89), the father (OR = 0.66; 95% CI = 0.50, 0.89), and the grandparents (OR = 0.49; 95% CI = 0.26, 0.89), reported a lower rate of chronic conditions. Age of the proxy 55 years or greater (OR = 0.41; 95% CI = 0.20, 0.82), men (OR = 0.70; 95% CI = 0.52, 0.94), fathers (OR = 0.68; 95% CI = 0.49, 0.92), and grandparents (OR = 0.40; 95% CI = 0.18, 0.85) showed a lower probability to report accidents. No variables related to the proxy were associated with physician visits or hospitalisation in the previous year.
  
  
  CONCLUSIONS
  Selected characteristics of the proxy respondent can influence responses to health surveys involving children. A minimum set of basic data should be collected from the proxy respondent to evaluate different patterns of response.
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D002648:Child; D002675:Child, Preschool; D003430:Cross-Sectional Studies; D005191:Family Characteristics; D005260:Female; D006304:Health Status; D006306:Health Surveys; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D016015:Logistic Models; D008297:Male; D008487:Medical History Taking / Q000379:methods*; D008875:Middle Aged; D019727:Proxy; D013030:Spain / Q000453:epidemiology