Impact of national income and inequality on sugar and caries relationship

M Masood, Y Masood, T Newton

Research output: Contribution to journalArticlepeer-review

41 Citations (Scopus)

Abstract

Objective: The aim of this study was to examine the impact that national income and income inequality in high and low income countries have on the relationship between dental caries and sugar consumption.

Methods: An ecological study design was used in this study of 73 countries. The mean decayed, missing, or filled permanent teeth (DMFT) for 12-year-old children were obtained from the WHO Oral Health Country/Area Profile Programme. United Nations Food and Agricultural Organization data were used for per capita sugar consumption. Gross national incomes per capita based on purchasing power parity and the Gini coefficient were obtained from World Bank data. Bivariate and multivariate linear regression analysis was performed to estimate the associations between mean DMFT and per capita sugar consumption in different income and income inequality countries.

Results: Bivariate and multivariate regression analysis showed that countries with a high national income and low income inequality have a strong negative association between sugar consumption and caries (B = –2.80, R2 = 0.17), whereas countries with a low income and high income inequality have a strong positive relationship between DMFT and per capita sugar consumption (B = –0.89, R2 = 0.20).

Conclusion: The relationship between per capita consumption of sugar and dental caries is modified by the absolute level of income of the country, but not by the level of income inequality within a country.
Original languageEnglish
Pages (from-to)581-588
Number of pages8
JournalCaries research
Volume46
Issue number6
DOIs
Publication statusPublished - Dec 2012

Keywords

  • Gross Domestic Product
  • Humans
  • Linear Models
  • Dietary Sucrose
  • Health Status Disparities
  • Developing Countries
  • Child
  • Developed Countries
  • DMF Index
  • Dental Caries
  • Models, Economic
  • Income

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