Meta-Analysis of DASH Diet Effects on Metabolic Syndrome Components
by Pengyu Zhao·Updated 26d ago
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Description
A systematic review and meta-analysis of 14 randomized controlled trials involving 1,062 participants, evaluating the effects of the DASH diet on components of metabolic syndrome. The document, authored by Pengyu Zhao and published on figshare in 2026, presents pooled effect sizes for outcomes including waist circumference, blood pressure, triglycerides, HDL-C, and HOMA-IR. It includes sensitivity analyses, publication bias assessment, and a GRADE evaluation of evidence certainty.
Use Cases
Calculate pooled effect sizes for dietary interventions based on the reported mean differences and confidence intervals.
Assess evidence quality for clinical guidelines based on the GRADE certainty ratings provided.
Design future clinical trials on metabolic syndrome based on the identified gaps in evidence, such as for fasting blood glucose.
Conduct sensitivity or subgroup analyses informed by the methodological framework described in the review.
Strengths
Includes data from 14 randomized controlled trials, a gold-standard study design for intervention evaluation.
Reports specific quantitative results, such as a mean difference of -2.33 cm for waist circumference with 95% confidence intervals.
Applies standardized evidence assessment methods, including the GRADE approach and Egger's test for publication bias.
Limitations
The primary data is embedded in a DOCX document (1.3 MB), requiring manual extraction for computational analysis.
Row count and column-level documentation are absent; field semantics must be inferred from the text.
The analysis is based on studies published up to April 2025; its conclusions may be superseded by newer research.
Provenance
Source
figshare
Collection Method
Systematic review and meta-analysis of randomized controlled trials sourced from PubMed, Web of Science, Embase, and Cochrane Library.
Time Range
Studies published until April 6, 2025.
Freshness
Last updated 2026-05-11 04:20:58
License is CC-BY-4.0, requiring attribution for reuse. Data is presented in narrative form within a DOCX file, not in a machine-readable tabular format.