Evidence map›Paper›PMID 41677918›Full record

ArticleEuropean journal of nutrition2026

Temporal patterns of total, animal and plant protein intakes of Australian adults: a latent class analysis.

Hesti Retno Budi Arini, Sarah A McNaughton, Sze-Yen Tan, Rebecca M Leech

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Article in European journal of nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Hesti Retno Budi AriniInstitute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, 3220, Australia. a.arini@deakin.edu.au.ORCID http://orcid.org/0000-0003-0652-7754
Sarah A McNaughtonSchool of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, 3220, Australia.ORCID http://orcid.org/0000-0001-5936-9820
Sze-Yen TanInstitute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, 3220, Australia.ORCID http://orcid.org/0000-0002-9607-202X
Rebecca M LeechInstitute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, 3220, Australia.ORCID http://orcid.org/0000-0002-5333-0164

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeFew studies have investigated temporal protein patterns of different protein sources. This study aimed to describe temporal patterns of total, plant, and animal protein intake of Australian adults and examine their associations with sociodemographic and eating pattern characteristics.

methodsTotal, animal, and plant protein intakes were estimated from the Australian National Nutrition and Physical Activity Survey 2011–12 dietary recall data (≥ 19 years; n = 6741). Separate latent class models were used to determine the patterns based on hourly intakes of total, animal, and plant protein. Pearson’s Chi-square test and one-way analysis of variance were used to examine the differences in characteristics between latent classes of the patterns.

resultsThree sex-stratified temporal patterns of total (T1-T3), animal (A1-A3), and plant (P1-P3) proteins were identified. Class 1 was characterised by higher probabilities of consuming protein at the typical Australian mealtime (e.g., at 18:00 h for A1), while Class 2 had higher probabilities of intake 1-h later (e.g., 19:00 h for A2). Class 3 was characterised by variable timing (e.g., 17:00 h or 20:00 h for A3). Adults in Class T1, A1, and P1 were older than other classes, whereas those in Class T2 and A2 had higher incomes (all p < 0.001). Adults in Class T3, A3, and P3 were younger and had lower total, animal, and plant protein intakes from meals (all p < 0.001) but higher intakes from snacks (p < 0.001), except for women’s animal protein.

conclusionThis study identified three temporal protein patterns, which varied by age, income, meal frequency, and protein intake at meals and snacks. Future research needs to examine whether these patterns have different health implications.

Indexed as

Animal Proteins, DietaryDietDietary ProteinsFeeding BehaviorPlant ProteinsAdultAgedAnimalsAustraliaFemaleHumansLatent Class AnalysisMaleMealsMiddle AgedNutrition SurveysAnimal Proteins, DietaryDietary ProteinsPlant ProteinsDietary proteinEating occasionEating patternsLatent class analysis

Identifiers

PMID41677918
PMCPMC12901164

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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.