Evidence map›Paper›PMID 30970648›Full record

ArticleNutrients2019

Adherence to DASH-Style Dietary Pattern Impacts on Adiponectin and Clustered Metabolic Risk in Older Women.

Andreas Nilsson, Patrik Halvardsson, Fawzi Kadi

Abstract read
In one paragraph

Article in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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

3 authors.

Andreas NilssonSchool of Health Sciences, Örebro University, 70182 Örebro, Sweden. andreas.nilsson@oru.se.
Patrik HalvardssonSchool of Health Sciences, Örebro University, 70182 Örebro, Sweden. pathah132@studentmail.oru.se.
Fawzi KadiSchool of Health Sciences, Örebro University, 70182 Örebro, Sweden. fawzi.kadi@oru.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While dietary patterns are related to the age-related progression of chronic diseases, to what extent different dietary patterns influence inflammatory and metabolic risk factors in older adults remains to be elucidated. Additionally, potential moderating effects by physical activity (PA) become important to clarify. Here, we hypothesize that dietary patterns are linked to inflammatory and metabolic biomarkers and that these links are independent of PA. The present study aims to explore links between two dietary constructs and biomarkers of systemic inflammation and metabolic health in older women, while considering time spent in moderate-to-vigorous PA (MVPA). A cross-sectional analysis of a sample of 112 community-dwelling older women (65–70 years old) was performed. Dietary constructs based on the Dietary Approach to Stop Hypertension (DASH) and the dietary inflammatory index (DII) were determined from food records. MVPA was objectively assessed using accelerometry. Metabolic outcomes (waist circumference, systolic/diastolic blood pressures and levels of glucose, triglycerides and high-density lipoprotein (HDL)-cholesterol) and inflammatory biomarkers (C-reactive protein (CRP), fibrinogen and adiponectin) were determined using standardized procedures and a clustered metabolic risk score was derived. Adherence to DASH-style diet was significantly (

Indexed as

AdiponectinAgedBiomarkersCholesterol, HDLC-Reactive ProteinCross-Sectional StudiesDietDietary Approaches To Stop HypertensionFemaleHumansHypertensionIndependent LivingMetabolic DiseasesPatient ComplianceRisk FactorsTriglyceridesAdiponectinADIPOQ protein, humanBiomarkersCholesterol, HDLC-Reactive ProteinTriglyceridesagingCRPdietdietary inflammatory indexinflammationmoderate-to-vigorous physical activity

Identifiers

PMID30970648
PMCPMC6520850

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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.