Evidence map›Paper›PMID 39198625›Full record

ArticleScientific reports2024

Investigating the impact of dietary guidelines transition on cardiometabolic risk profile: a forensic analysis using diet quality metrics.

Ayesha Sualeheen, Ban-Hock Khor, Jun-Hao Lim, Gaiyal Viliy Balasubramanian, Khun-Aik Chuah, Zu-Wei Yeak, Karuthan Chinna, Sreelakshmi Sankara Narayanan, Kalyana Sundram, Zulfitri Azuan Mat Daud and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Ayesha SualeheenInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, 3220, Australia.
Ban-Hock KhorFaculty of Food Science and Nutrition, University Malaysia Sabah, 88400, Kota Kinabalu, Malaysia.
Jun-Hao LimDepartment of Dietetics, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia.
Gaiyal Viliy BalasubramanianDietetics Program, Faculty of Health Sciences, University Kebangsaan Malaysia, 50300, Kuala Lumpur, Malaysia.
Khun-Aik ChuahNutrition Program, Faculty of Health Sciences, University Kebangsaan Malaysia, 50300, Kuala Lumpur, Malaysia.
Zu-Wei YeakNutrition Program, Faculty of Health Sciences, University Kebangsaan Malaysia, 50300, Kuala Lumpur, Malaysia.
Karuthan ChinnaFaculty of Business and Management, UCSI University, Cheras, 56000, Kuala Lumpur, Malaysia.
Sreelakshmi Sankara NarayananSchool of Biosciences, Faculty of Health and Medical Sciences, Taylor's University, 47500, Subang Jaya, Selangor, Malaysia.
Kalyana SundramMalaysia Palm Oil Council, Menara Axis, 46100, Petaling Jaya, Selangor, Malaysia.
Zulfitri Azuan Mat DaudDepartment of Dietetics, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia.
Tilakavati KarupaiahSchool of Biosciences, Faculty of Health and Medical Sciences, Taylor's University, 47500, Subang Jaya, Selangor, Malaysia. tilly_karu@yahoo.co.uk.

Funding

Funder = Malaysian Palm Oil Council (MPOC) Grant Reference Number = NN-047-2012Universiti Kebangsaan Malaysia (National University of Malaysia) DLP-2014-017Universiti Kebangsaan Malaysia (National University of Malaysia) GSP-2013-020Universiti Kebangsaan Malaysia (National University of Malaysia) GUP-2014-057
6 · The paper itself

Abstract

Evaluating dietary guidelines using diet quality (DQ) offers valuable insights into the healthfulness of a population's diet. We conducted a forensic analysis using DQ metrics to compare the Malaysian Dietary Guidelines (MDG-2020) with its former version (MDG-2010) in relation to cardiometabolic risk (CMR) for an adult Malaysian population. A DQ analysis of cross-sectional data from the Malaysia Lipid Study (MLS) cohort (n = 577, age: 20-65yrs) was performed using the healthy eating index-2015 (HEI-2015) framework in conformation with MDG-2020 (MHEI

Indexed as

Cardiometabolic Risk FactorsDietNutrition PolicyAdultAgedCardiovascular DiseasesCross-Sectional StudiesDiet, HealthyFemaleHumansMalaysiaMaleMiddle AgedYoung Adult

Identifiers

PMID39198625
PMCPMC11358446

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.