| Issue |
BIO Web Conf.
Volume 243, 2026
The 4th IPB International Conference on Nutrition and Food (ICNF 2026)
|
|
|---|---|---|
| Article Number | 02007 | |
| Number of page(s) | 5 | |
| Section | Community Nutrition | |
| DOI | https://doi.org/10.1051/bioconf/202624302007 | |
| Published online | 09 July 2026 | |
Association between fruit and vegetable consumption, physical activity, and metabolic syndrome among clinical adult patients
Department of Nutrition, Sekolah Tinggi Ilmu Kesehatan Salewangang Maros, 90511 Maros, Indonesia
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Metabolic syndrome is a cluster of cardiometabolic risk factors, including central obesity, impaired fasting glucose, dyslipidemia, and elevated blood pressure, which increase the risk of cardiovascular disease and type 2 diabetes. This study aimed to examine the association between fruit and vegetable consumption, physical activity, and metabolic syndrome among adults. A cross-sectional study was conducted among 60 adults recruited from Maros District Regional Hospital using purposive sampling. Fruit and vegetable intake were assessed using a semi-quantitative food frequency questionnaire (SQ-FFQ). Physical activity was measured using the Global Physical Activity Questionnaire (GPAQ) and categorized based on MET-minutes/week. Metabolic syndrome was defined using standard criteria. Associations were analyzed using Chi-square tests. The results indicated that most participants had low fruit consumption (73.3%) and vegetable intake (76.6%). Over half (51.7%) engaged in low physical activity. Significant associations were observed between fruit intake (p=0.003) and vegetable intake (p=0.001) with metabolic syndrome. Physical activity was not significantly associated (p=0.219). Low fruit and vegetable intake was significantly associated with metabolic syndrome among adult hospital patients. However, these findings should be interpreted with caution because the study population may not represent the general community.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

