Evidence map›Paper›PMID 35892798›Full record

ArticleFoods (Basel, Switzerland)2022

On-the-Pack Voluntary Well-Being Messaging for Milks Targeting Chinese Older Adults: A Content Analysis.

Ao Chen, Saleh Moradi, Joanne Hort

Open access · goldAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 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
1.0field-weighted citation impact, top 24% of its field
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, 5 citations in OpenAlex.

  1. Article
  2. Review
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

3 authors at 2 institutions in 1 country.

Ao ChenFood Experience and Sensory Testing (Feast) Lab, Massey University, Palmerston North 4442, New Zealand.
Saleh MoradiFood Experience and Sensory Testing (Feast) Lab, Massey University, Palmerston North 4442, New Zealand.
Joanne HortFood Experience and Sensory Testing (Feast) Lab, Massey University, Palmerston North 4442, New Zealand.ORCID 0000-0001-8609-4543
Riddet Institute · NZFonterra (New Zealand) · NZ

Funding

Ministry of Business, Innovation and Employment MAUX1803
6 · The paper itself

Abstract

China is experiencing severe population aging. Given that milks targeting older adults are one of the most popular foods designed for Chinese older adults (COA), this study investigated on-the-pack (OTP) voluntary well-being messaging (VWM, ways of communicating a product's broad well-being benefits through information on food content or statements linked to favourable components, functions, or well-being outcomes) for milk targeting COA. Over 200 products identified from two sources (JD.com and Mintel's global new products database), were analysed for type, content, and VWM frequency for different brand origins and milk sources of various animal species, nutrition claim regulation compliance and alignment with nutrition facts. The results suggested: (1) different brand origins (domestic vs. international) and milk source (cow vs. goat) highlighted different well-being aspects of products, (2) three products failed to comply with government regulations made for nutrition labelling of pre-packed foods (GB 28050-2011), but (3) excepting fat, all 'contains' claims and most 'high' claims did not reflect significantly greater levels of nutrients, compared to products with no claims. The findings create a comprehensive picture of OTP VWM for milks targeting older adults in China, providing useful information for consumer, domestic, and international dairy industries, and policymakers.

Indexed as

Chinaconsumer insightsdairyfood safety national standardswell-being message

Identifiers

PMID35892798
PMCPMC9331808
OpenAlexW4287833050

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.