Evidence map›Paper›PMID 42450372›Full record

ArticleFoods (Basel, Switzerland)2026

Drivers and Barriers of Wine Consumption Among Predominantly Young, Highly Educated Chinese Consumers: A Sociodemographic and Network Analysis.

Lin Zhu, Xinshu Jiang, Yulin Fang, Xiangyu Sun

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Lin ZhuCollege of Enology, Northwest A&F University, Yangling 712100, China.
Xinshu JiangCollege of Tourism and Management, Shaanxi A&F Technology University, Yangling 712100, China.ORCID 0000-0001-9540-2747
Yulin FangCollege of Enology, Northwest A&F University, Yangling 712100, China.
Xiangyu SunCollege of Enology, Northwest A&F University, Yangling 712100, China.ORCID 0000-0002-3417-9323

Funding

Scientific Research Startup Fund of Northwest A&F University Grant No. Z1090124035 [L.Z.]Shaanxi Provincial Key R&D Program Grant No. 2024NC-LSTD-001 [X.S.]
6 · The paper itself

Abstract

Understanding the drivers and barriers of wine consumption is of substantial importance for both market development and sensory science research, and this is particularly salient in rapidly changing non-Western markets. Young, highly educated Chinese consumers represent one of the fastest-growing segments in the global wine market, yet large-scale studies of their consumption preferences and rejection patterns remain limited. This study aimed to characterize the conditional dependence structure of wine-consumption behavior in this population and to examine the associations between common consumption barriers and sociodemographic variables. A nationwide cross-sectional online survey collected 4823 valid responses. Non-parametric tests were used to compare sociodemographic groups, and a regularized Gaussian graphical model (GGM) was estimated to characterize the conditional associations among 15 consumption-behavior variables. The sample was dominated by young respondents (18-24 years) and individuals with higher education. The three most frequently endorsed barriers were taste aversion (51.1%), price sensitivity (38.7%), and lack of knowledge (19.6%). Age and education were the most central sociodemographic variables in the network. The knowledge barrier showed a moderate negative conditional association with education (partial

Indexed as

consumer behaviorGaussian graphical modelnetwork analysiswine consumption

Identifiers

PMID42450372
PMCPMC13360419

What OpenQuestion holds

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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.