How valid are self-reported height and weight? A comparison between CATI self-report and clinic measurements using a large cohort study

Aust N Z J Public Health. 2006 Jun;30(3):238-46. doi: 10.1111/j.1467-842x.2006.tb00864.x.

Abstract

Objective: To examine the relationship between self-reported and clinical measurements for height and weight in adults aged 18 years and over and to determine the bias associated with using household telephone surveys.

Method: A representative population sample of adults aged 18 years and over living in the north-west region of Adelaide (n = 1,537) were recruited to the biomedical cohort study in 2002/03. A computer-assisted telephone interviewing (CATI) system was used to collect self-reported height and weight. Clinical measures were obtained when the cohort study participants attended a clinic for biomedical tests.

Result: Adults over-estimated their height (by 1.4 cm) and under-estimated their weight (by 1.7 kg). Using the self-report figures the prevalence of overweight/ obese was 56.0% but this prevalence estimate increased to 65.3% when clinical measurements were used. The discrepancy in self-reported height and weight is partly explained by 1) a rounding effect (rounding height and weight to the nearest 0 or 5) and 2) older persons (65+ years) considerably over-estimating their height.

Conclusion: Self-report is important in monitoring overweight and obesity; however, it must be recognised that prevalence estimates obtained are likely to understate the problem.

Implications: The public health focus on obesity is warranted, but self-report estimates, commonly used to highlight the obesity epidemic, are likely to be underestimations. Self-report would be a more reliable measure if people did not round their measurements and if older persons more accurately knew their height.

Publication types

  • Comparative Study
  • Validation Study

MeSH terms

  • Adolescent
  • Adult
  • Age Factors
  • Aged
  • Anthropometry / instrumentation
  • Anthropometry / methods*
  • Body Height*
  • Body Mass Index
  • Body Weight*
  • Cohort Studies
  • Female
  • Health Care Surveys
  • Humans
  • Male
  • Middle Aged
  • Obesity / diagnosis
  • Reproducibility of Results
  • Self Care / instrumentation
  • Self Care / methods*
  • Sensitivity and Specificity
  • Sex Factors
  • Socioeconomic Factors