Consumption patterns and attitudinal insights on artificial sweeteners in Saudi Arabia

This study highlights a high prevalence of AS use among Saudi adults, largely motivated by weight management goals but tempered by health concerns and a preference for natural foods. These findings underscore the need for targeted educational and public health interventions to support informed dietary choices.

Authors

Institutions

Publication Details

Journal
Frontiers in Public Health
Published
2025-07-16
DOI
https://doi.org/10.3389/fpubh.2025.1643309
Primary Topic
Obesity, Physical Activity, Diet
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Consumption patterns and attitudinal insights on artificial sweeteners in Saudi Arabia

Eman A. Abduljawad, Nada Benajiba, Buthaina M. Aljehany, Fadhah Alatwi
Frontiers in Public Health
Obesity, Physical Activity, Diet
article

Consumption patterns and attitudinal insights on artificial sweeteners in Saudi Arabia

Eman A. Abduljawad, Nada Benajiba, Buthaina M. Aljehany, Fadhah Alatwi
article en

Abstract

This study highlights a high prevalence of AS use among Saudi adults, largely motivated by weight management goals but tempered by health concerns and a preference for natural foods. These findings underscore the need for targeted educational and public health interventions to support informed dietary choices.

Frontiers in Public HealthVol. 13
King Abdulaziz University (SA), Centre Régional Africain des Sciences et Technologies de l'Espace (MA)
Openalex Percentile: Top 76%
Obesity, Physical Activity, Diet
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.