Untangling the role of diet quality and other risk factors in the severity of metabolic syndrome: Insights from the Hoveyzeh Cohort study using structural equation modeling
Authors' conclusion
The findings emphasize that improving diet quality as a means of managing modifiable risk factors may reduce MetS severity.
Study context
- Population
- Participants of the Hoveyzeh Cohort Study
- Participants
- 8,086 participants
- Exposure
- Females vs Males
- Femalesn = 4,600
- Malesn = 3,486
- Outcome
- MetS severity in relation to diet quality scores (DDS, PDS, EAT-Lancet Diet Score) and other risk factors
Methodological detailsstructural equation modeling
- Structural equation modeling
Main finding
As reported in the abstract
Associations of diet scores with MetS severity (structural equation modeling (SEM) β)
| Group | Dietary Diversity Score (DDS) direct β | DDS indirect β | Paleolithic Diet Score (PDS) direct β | PDS indirect β | EAT-Lancet indirect β |
|---|---|---|---|---|---|
| Females | −0.04 | −0.06 | −0.03 | −0.05 | −0.04 |
| Males | −0.04 | −0.09 | −0.02 | −0.07 | −0.03 |
Dietary Diversity Score (DDS) direct β
Females−0.04
Males−0.04
DDS indirect β
Females−0.06
Males−0.09
Paleolithic Diet Score (PDS) direct β
Females−0.03
Males−0.02
PDS indirect β
Females−0.05
Males−0.07
EAT-Lancet indirect β
Females−0.04
Males−0.03
Observational data: associations, not effects.
Original publication
Untangling the role of diet quality and other risk factors in the severity of metabolic syndrome: Insights from the Hoveyzeh Cohort study using structural equation modeling. Diabetes Res Clin Pract. Published 25 August 2025. doi:10.
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