title: Body mass index as indicator of standard of living in developing countries.
abstract: OBJECTIVE
  To assess the suitability of the body mass index (BMI) as an indicator of standard of living in developing countries.
  
  
  METHODS
  The analysis is based on data collected in the first two rounds of the Ghana Living Standards Survey, held in 1987/88 (GLSS-I) and 1988/89 (GLSS-II). The dataset provides information on a wide range of socio-economic variables, at the individual, the household and the community level, including the height and weight data of approximately 9000 adults in the 20-65 y age bracket.
  
  
  METHODS
  Bivariate analysis was used to assess, at the individual level and at the level of population groups, the relationships between adult Body Mass Index and selected household characteristics such as income and expenditure, years of schooling of head of household, access to services, quality of housing, and nutritional status of children. Through multiple regression, indicative estimates have been derived of the effects of these variables on adult BMI. For comparison, the same relationships were investigated for weight and height.
  
  
  CONCLUSIONS
  At the individual level, BMI shows a significantly positive relation with the various socio-economic indicators of living standard, though the correlation coefficients indicate a poor fit. However, at the level of population groups, The relationship between BMI and other characteristics of socio-economic development is strong with a correlation coefficient of 0.86 between mean BMI and mean per capita expenditures of 12 population groups in Ghana, presumed to be at different levels of standard of living. The relationships between weight and the various socioeconomic characteristics were comparable to those for BMI, while height was poorly correlated with the selected household variables. Result suggest that in low-income countries, information on adult BMI (mean and distribution) can be used for assessing differences in standards of living between population groups or for monitoring changes over time.
authors.affiliation: Centre for World Food Studies (SOW-VU), Vrije Universiteit, Amsterdam, The Netherlands.
authors.forename: M
authors.initials: M
authors.lastname: Nubé
authors.forename: W K
authors.initials: WK
authors.lastname: Asenso-Okyere
authors.forename: G J
authors.initials: GJ
authors.lastname: van den Boom
mesh_terms: D000328:Adult; D000368:Aged; D015992:Body Mass Index; D003906:Developing Countries; D004522:Educational Status; D005260:Female; D005869:Ghana; D006801:Humans; D007182:Income; D008297:Male; D008875:Middle Aged; D009752:Nutritional Status; D012044:Regression Analysis; D012959:Socioeconomic Factors