Evidence map›Paper›PMID 36522384›Full record

ArticleScientific reports2022

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

Nhung Nghiem, Andrea Teng, Christine Cleghorn, Christina McKerchar, Nick Wilson

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Nhung NghiemDepartment of Public Health, University of Otago, Wellington, New Zealand. nhung.nghiem@otago.ac.nz.
Andrea TengDepartment of Public Health, University of Otago, Wellington, New Zealand.
Christine CleghornDepartment of Public Health, University of Otago, Wellington, New Zealand.
Christina McKercharDepartment of Population Health, University of Otago, Christchurch, New Zealand.
Nick WilsonDepartment of Public Health, University of Otago, Wellington, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

DietFoodHealth InequitiesIncomeMaori PeopleAustralasian PeopleFamily CharacteristicsFruitHumansNew ZealandSocioeconomic FactorsSurveys and Questionnaires

Identifiers

PMID36522384
PMCPMC9753885

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.