Evidence map›Paper›PMID 24564930›Full record

ArticlePublic health nutrition2014

Capturing changes in dietary patterns among older adults: a latent class analysis of an ageing Irish cohort.

Janas M Harrington, Darren L Dahly, Anthony P Fitzgerald, Mark S Gilthorpe, Ivan J Perry

Open access · bronzeAbstract read
In one paragraph

Article in Public health nutrition, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% of its field
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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.

  1. Pooled it
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  4. The potential role of dietary patterns in modifying the association between ambient PMEnvironmental health : a global access science source · 2026
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  8. Advances in methods for characterizing dietary patterns: A scoping review.medRxiv : the preprint server for health sciences · 2024
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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

5 authors at 1 institution in 1 country.

Janas M Harrington1Department of Epidemiology & Public Health,University College Cork,Fourth Floor,Western Gateway Building,Western Road,Cork,Republic of Ireland.
Darren L Dahly1Department of Epidemiology & Public Health,University College Cork,Fourth Floor,Western Gateway Building,Western Road,Cork,Republic of Ireland.
Anthony P Fitzgerald1Department of Epidemiology & Public Health,University College Cork,Fourth Floor,Western Gateway Building,Western Road,Cork,Republic of Ireland.
Mark S Gilthorpe2Centre for Epidemiology & Biostatistics,University of Leeds,Leeds,UK.
Ivan J Perry1Department of Epidemiology & Public Health,University College Cork,Fourth Floor,Western Gateway Building,Western Road,Cork,Republic of Ireland.
University of Leeds · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveData-driven approaches to dietary patterns are under-utilized; latent class analyses (LCA) are particularly rare. The present study used an LCA to identify subgroups of people with similar dietary patterns, explore changes in dietary patterns over a 10-year period and relate these dynamics to sociodemographic factors and health outcomes.

designThe 1998 baseline and 2008 follow-up of the Cork and Kerry Diabetes and Heart Disease Study. Diets were assessed with a standard FFQ. LCA, under the assumption of conditional independence, was used to identify mutually exclusive subgroups with different dietary patterns, based on food group consumption.

settingRepublic of Ireland. SUBJECTS: Men and women aged 50-69 years at baseline (n 923) and at 10-year follow-up (n 320).

resultsThree dietary classes emerged: Western, Healthy and Low-Energy. Significant differences in demographic, lifestyle and health outcomes were associated with class membership. Between baseline and follow-up most people remained 'stable' in their dietary class. Most of those who changed class moved to the Healthy class. Higher education was associated with transition to a healthy diet; lower education was associated with stability in an unhealthy pattern. Transition to a healthy diet was associated with higher CVD risk factors at baseline: respondents were significantly more likely to be smokers, centrally obese and to have hypertension (non-significant).

conclusionsLCA is useful for exploring dietary patterns transitions. Understanding the predictors of longitudinal stability/transitions in dietary patterns will help target public health initiatives by identifying subgroups most/least likely to change and most/least likely to sustain a change.

Indexed as

DietFeeding BehaviorHealth BehaviorLife StyleAgedAgingCaloric RestrictionCardiovascular DiseasesDiet, WesternEducational StatusFemaleFollow-Up StudiesHealthHumansHypertensionIreland

Identifiers

PMID24564930
PMCPMC10282272
OpenAlexW2128306852

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.