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Record W4320857244 · doi:10.1093/heapro/daac197

Why and how do consumers use dietary supplements? A systematic review and thematic analysis

2023· review· en· W4320857244 on OpenAlexaff
Yun Wang, Leighann C. Neilson, Shaobo Ji

Bibliographic record

VenueHealth Promotion International · 2023
Typereview
Languageen
FieldMedicine
TopicConsumer Attitudes and Food Labeling
Canadian institutionsCarleton UniversityMount Saint Vincent University
Fundersnot available
KeywordsConsumption (sociology)SocializationHealth promotionThematic analysisPublic relationsProcess (computing)Promotion (chess)PsychologySociologyMarketingPublic healthBusinessQualitative researchSocial psychologyMedicinePolitical scienceSocial scienceComputer scienceNursing

Abstract

fetched live from OpenAlex

Using the input-process-output (IPO) model as an organizing framework, this paper provides an overview of the literature on multiple dimensions of dietary supplement (DS) consumption. Based on a systematic review of 174 studies from different disciplines over two decades, we pinpointed the key topics that have been examined in this growing body of literature and identified the major themes within DS consumption. Moreover, we integrated the major themes in inputs, processes, and outputs to develop a comprehensive understanding of individuals' DS consumption behaviors, motivations, and social mechanisms underlying such behaviors. This research has implications for health consumption and promotion research. We identified DS consumption as a social-cultural process in which individuals practice lifelong self-learning and socialization activities through which lay health knowledge may be developed. Accordingly, their DS use motives may be related to health improvement or not (e.g. identity expressions), which are formed during interactions with various stakeholders in the health marketplace. When confronting the contemporary health promotion culture and self-care paradigm, it is important for researchers to deepen our knowledge of consumers' motives for DS consumption and the underlying social mechanisms to aid consumers' health consumption decisions and guide the multiple stakeholders in the health marketplace.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.128
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.194
GPT teacher head0.445
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations15
Published2023
Admission routes1
Has abstractyes

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