Using household economic survey data to assess food expenditure patterns and trends in a high-income country with notable health inequities

Sci Rep. 2022 Dec 15;12(1):21703. doi: 10.1038/s41598-022-26301-z.

Abstract

This study aimed to identify dietary trends in Aotearoa New Zealand (NZ) and whether inequities in dietary patterns are changing. We extracted data from the Household Economic Survey (HES), which was designed to provide information on impacts of policy-making in NZ, and performed descriptive analyses on food expenditures. Overall, total household food expenditure per capita increased by 0.38% annually over this period. Low-income households spent around three quarters of what high-income households spent on food per capita. High-income households experienced a greater increase in expenditure on nuts and seeds and a greater reduction in expenditure on processed meat. There was increased expenditure over time on fruit and vegetables nuts and seeds, and healthy foods in Māori (Indigenous) households with little variations in non-Māori households. But there was little change in processed meat expenditure for Māori households and expenditure on less healthy foods also increased over time. Routinely collected HES data were useful and cost-effective for understanding trends in food expenditure patterns to inform public health interventions, in the absence of nutrition survey data. Potentially positive expenditure trends for Māori were identified, however, food expenditure inequities in processed meat and less healthy foods by ethnicity and income continue to be substantial.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Australasian People / statistics & numerical data
  • Diet* / economics
  • Diet* / ethnology
  • Diet* / statistics & numerical data
  • Diet* / trends
  • Family Characteristics / ethnology
  • Food* / economics
  • Food* / statistics & numerical data
  • Fruit
  • Health Inequities*
  • Humans
  • Income* / statistics & numerical data
  • Maori People* / statistics & numerical data
  • New Zealand / epidemiology
  • Socioeconomic Factors
  • Surveys and Questionnaires

Supplementary concepts

  • New Zealander people