Evidence map›Paper›PMID 42196722›Full record

ArticleInternational journal of environmental research and public health2026

What Drives Nutritional Supplement Use Among Academics? An Intention-Behavior Model of Motivation, Work Stress, and Digital Influences.

Şermin Önem

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 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

1 author.

Şermin ÖnemE-Commerce and Marketing Program, Vocational School, Istanbul Atlas University, Istanbul 34408, Türkiye.ORCID 0000-0003-3230-0801

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nutritional supplement use has emerged as an important health-related consumption behavior in digitalized environments, with implications for both public health and individual well-being. While prior research has largely focused on general populations, limited attention has been paid to how occupational pressures and digital information contexts jointly shape supplement-related decision-making among highly educated professionals. Addressing this gap, this study examines the behavioral determinants of nutritional supplement use among academics within an intention-behavior framework. Using survey data collected from academic professionals, the proposed model was tested through confirmatory factor analysis and structural equation modeling. The findings reveal that health motivation and academic work stress significantly predict supplement use intention, which, in turn, strongly influences actual consumption behavior. In contrast, digital health literacy and digital marketing exposure do not exert significant direct effects on usage intention. These results provide theoretical insight into the boundary conditions of informational determinants in consumer behavior models, suggesting that intrinsic motivation and contextual stressors may play a more dominant role than digital influences among highly educated consumers. From a practical perspective, the findings highlight the importance of addressing stress-related health coping mechanisms and motivation-driven behaviors in promoting informed supplement use.

Indexed as

Dietary SupplementsIntentionMotivationOccupational StressAdultDigital MediaFemaleHealth BehaviorHumansMaleacademic work stressdigital health literacyhealth motivationintention–behaviornutritional supplement use

Identifiers

PMID42196722
PMCPMC13206039

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.