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Record W4408837721 · doi:10.3389/ijph.2025.1608065

Trends in Salt Consumption and Reduction Practices in Vietnam During 2015–2021: Analyzing Urinary Sodium Levels Among 18–69 Aged Populations

2025· article· en· W4408837721 on OpenAlexaff
Lan Vu, Bui Thi Tu Quyen, Pham Quang Duy, Le Tu Hoang, Hoàng Văn Minh

Bibliographic record

VenueInternational Journal of Public Health · 2025
Typearticle
Languageen
FieldNursing
TopicSodium Intake and Health
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineEnvironmental healthDiabetes mellitusPublic healthVietnamesePopulationDemographyEndocrinology

Abstract

fetched live from OpenAlex

Objectives: This study investigates changes in salt intake and reduction practices among Vietnamese adults (ages 18-69), focusing on high-risk groups for non-communicable diseases (NCDs) like hypertension, diabetes, and elevated BMI. Methods: Participants aged 18-69 from the 2015 and 2020 STEPs surveys provided data on the spot urine test. Average daily salt intake was calculated using the Intersalt Southern European equation. The prevalence of excessive salt intake was assessed, along with subgroup analyses based on demographic factors and NCD risk. Results: Average salt intake decreased significantly from 9.42 g/day in 2015 to 8.07 g/day in 2020 (p < 0.01), with the most substantial decline among younger individuals. The percentage exceeding the global average of 10.78 g/day dropped from 24.88% to 8.31%. High-risk groups, including those with hypertension and diabetes, consumed more salt but also showed reductions. Awareness of salt reduction advice remained low, with only 60.9% of the general population informed. Conclusion: While progress has been made in reducing salt intake, ongoing public health initiatives are essential to meet recommended levels, especially for high-risk populations.

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)0.003
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.068
Threshold uncertainty score0.622

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.001
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 head0.156
GPT teacher head0.449
Teacher spread0.293 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations1
Published2025
Admission routes1
Has abstractyes

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