title: Self-reported clothing size as a proxy measure for body size.
abstract: BACKGROUND
  Few studies have considered the potential utility of clothing size as a predictor of diseases associated with body weight.
  
  
  METHODS
  We used data on weight-stable men and women from a subcohort of the Netherlands Cohort Study to assess the correlation of clothing size with other anthropometric variables. Cox regression using the case-cohort approach was performed to establish whether clothing size can predict cancer risk after 13.3 years of follow-up, and if additionally considering body mass index (BMI) in the model improves the prediction.
  
  
  RESULTS
  Trouser and skirt size correlated well with circumference measurements. Skirt size predicted endometrial cancer risk, and this effect was slightly attenuated when BMI was added to the model. Trouser size predicted risk of renal cell carcinoma, regardless of whether BMI was in the model.
  
  
  CONCLUSIONS
  Clothing size appears to predict cancer risk independently of BMI, suggesting that clothing size is a useful measure to consider in epidemiologic studies when waist circumference is not available.
authors.affiliation: Department of Epidemiology, School for Oncology and Developmental Biology (GROW), Maastricht University, Maastricht, The Netherlands. laura.hughes@epid.unimaas.nl
authors.forename: Laura A E
authors.initials: LA
authors.lastname: Hughes
authors.forename: Leo J
authors.initials: LJ
authors.lastname: Schouten
authors.forename: R Alexandra
authors.initials: RA
authors.lastname: Goldbohm
authors.forename: Piet A
authors.initials: PA
authors.lastname: van den Brandt
authors.forename: Matty P
authors.initials: MP
authors.lastname: Weijenberg
mesh_terms: D000368:Aged; D049628:Body Size / Q000502:physiology*; D003020:Clothing; D015331:Cohort Studies; D005260:Female; D005544:Forecasting; D006801:Humans; D008297:Male; D008875:Middle Aged; D009369:Neoplasms / Q000453:epidemiology*; D009426:Netherlands / Q000453:epidemiology; D016016:Proportional Hazards Models; D018570:Risk Assessment / Q000379:methods*