Evidence map›Paper›PMID 38115219›Full record

Observational studyPublic health nutrition2023

New Zealand household purchases of sugar-sweetened, artificially sweetened, and unsweetened beverages: 2015-2019.

Helen Eyles, Sah Dodd, Kelly K Garton, Yannan Jiang, Teresa Gontijo de Castro

Abstract readObservational Study
In one paragraph

Observational study in Public health nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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.

Helen EylesNational Institute for Health Innovation, School of Population Health, Grafton Campus, The University of Auckland, Auckland, New Zealand.ORCID 0000-0002-9521-3513
Sah DoddFaculty of Medical and Health Sciences, Grafton Campus, The University of Auckland, Auckland, New Zealand.
Kelly K GartonDepartment of Epidemiology and Biostatistics, School of Population Health, Grafton Campus, The University of Auckland, Auckland, New Zealand.ORCID 0000-0002-6313-9128
Yannan JiangNational Institute for Health Innovation, School of Population Health, Grafton Campus, The University of Auckland, Auckland, New Zealand.
Teresa Gontijo de CastroDepartment of Epidemiology and Biostatistics, School of Population Health, Grafton Campus, The University of Auckland, Auckland, New Zealand.ORCID 0000-0003-1275-4072

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess annual household purchases of sugar-sweetened beverages (SSBs), artificially sweetened beverages (AFSBs), and unsweetened beverages (USBs) by household composition and income, and over time.

designObservational cohort study using beverage purchasing data linked to a supermarket database. ANOVA was used to compare total household purchase volumes (L) and the contribution of beverages purchased by category, household composition (size), household income (four categories from New Zealand (NZ) < $30 000 to > $90 000), and over time (trend from 2015 to 2019).

settingAotearoa NZ.

participants∼1800 households in the NielsenIQ Homescan® market research panel.

resultsIn 2019, the mean (sd) annual household purchase volume and relative contribution to total beverage volume of SSBs were 72·3 (93·0) L and 33 %, respectively. Corresponding values for AFSBs were 32·5 (79·3) L (15 %), and USBs were 112·5 (100·9) L (52 %). Larger households purchased more of all beverage types except AFSBs. Total purchases were similar by income, but households earning < $NZ 30 000 purchased fewer AFSBs and USBs (but not SSBs) than households earning > $NZ 90 000. Total and USB purchases were unchanged over time, but SSBs dropped by 5·9 L (

conclusionsUSBs contributed the most to household beverage purchases. Total purchases were higher for larger households and similar by income, including for SSBs. The reduction over time was too small for health benefits. Findings support policies and interventions to reduce SSB consumption and highlight the importance of focusing on equitable outcomes.

Indexed as

SugarsSweetening AgentsBeveragesConsumer BehaviorHumansNew ZealandSugarsSweetening AgentsBeveragesHousehold purchasingMonitoringSugarSweeteners

Identifiers

PMID38115219
PMCPMC10830360

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

None linked

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.