Inequality, validity of self-reported height, and its implications for BMI estimates: An analysis of randomly selected primary sampling units' data.

ABSTRACT: Any systematic errors in self-reported height, a measure commonly used in health research, may produce biased BMI estimates and reduce the effectiveness of public health interventions. To our knowledge, none of the studies evaluating the validity of self-reported height explore this issue in cross-national settings. This study analyses data on a sub-set of 750 individuals with information on self-reported and measured height from the Life in Transition Survey (LITS) conducted in 34 European and Central Asian countries in 2016. We make use of the unique design of LITS in which all respondents reported their height, but in one randomly selected primary sampling unit in each country the actual height was also measured, using a portable stadiometer. In addition to analysing individual-level ch

SUBMITTER: Gugushvili A 

PROVIDER: S-EPMC6715954 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature