Evidence map›Paper›PMID 33875030›Full record

ArticlePublic health nutrition2021

Diet scores and prediction of general and abdominal obesity in the Melbourne collaborative cohort study.

Allison M Hodge, Md Nazmul Karim, James R Hébert, Nitin Shivappa, Roger L Milne, Barbora de Courten

Abstract read
In one paragraph

Article in Public health nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

6 authors.

Allison M HodgeCancer Epidemiology Division, Cancer Council Victoria, 615 St Kilda Rd, Melbourne, VIC3004, Australia.ORCID 0000-0001-5464-2197
Md Nazmul KarimSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
James R HébertCancer Prevention and Control Program, University of South Carolina, Columbia, SC, USA.ORCID 0000-0002-0677-2672
Nitin ShivappaCancer Prevention and Control Program, University of South Carolina, Columbia, SC, USA.
Roger L MilneCancer Epidemiology Division, Cancer Council Victoria, 615 St Kilda Rd, Melbourne, VIC3004, Australia.
Barbora de CourtenDepartment of Medicine, School of Clinical Sciences, Monash University, Melbourne, VIC, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo ascertain which of the Alternative Healthy Eating Index (AHEI) 2010, Dietary Inflammatory Index (DII®) and Mediterranean Diet Score (MDS) best predicted BMI and waist-to-hip circumference ratio (WHR).

designBody size was measured at baseline (1990-1994) and in 2003-2007. Diet was assessed at baseline using a FFQ, along with age, sex, socio-economic status, smoking, alcohol drinking, physical activity and country of birth. Regression coefficients and 95 % CI for the association of baseline dietary scores with follow-up BMI and WHR were generated using multivariable linear regression, adjusting for baseline body size, confounders and energy intake.

settingPopulation-based cohort in Melbourne, Australia.

participantsIncluded were data from 11 030 men and 16 774 women aged 40-69 years at baseline.

resultsMedian (IQR) follow-up was 11·6 (10·7-12·8) years. BMI and WHR at follow-up were associated with baseline DII® (Q5 v. Q1 (BMI 0·41, 95 % CI 0·21, 0·61) and WHR 0·009, 95 % CI 0·006, 0·013)) and AHEI (Q5 v. Q1 (BMI -0·51, 95 % CI -0·68, -0·35) and WHR -0·011, 95 % CI -0·013, -0·008)). WHR, but not BMI, at follow-up was associated with baseline MDS (Group 3 most Mediterranean v. G1 (BMI -0·05, 95 % CI -0·23, 0·13) and WHR -0·004, 95 % CI -0·007, -0·001)). Based on Akaike's Information Criterion and Bayesian Information Criterion statistics, AHEI was a stronger predictor of body size than the other diet scores.

conclusionsPoor quality or pro-inflammatory diets predicted overall and central obesity. The AHEI may provide the best way to assess the obesogenic potential of diet.

Indexed as

DietObesity, AbdominalAdultAgedAustraliaBody Mass IndexCohort StudiesDiet, MediterraneanFemaleHumansMaleMiddle AgedObesityRisk FactorsWaist-Hip RatioDiet scoreFFQNutritional epidemiologyOverall and central obesityProspective

Identifiers

PMID33875030
PMCPMC11148580

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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.