Evidence map›Paper›PMID 36986227›Full record

ArticleNutrients2023

Association between Late-Eating Pattern and Higher Consumption of Ultra-Processed Food among Italian Adults: Findings from the INHES Study.

Marialaura Bonaccio, Emilia Ruggiero, Augusto Di Castelnuovo, Claudia Francisca Martínez, Simona Esposito, Simona Costanzo, Chiara Cerletti, Maria Benedetta Donati, Giovanni de Gaetano, Licia Iacoviello and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.3field-weighted citation impact, top 6% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Marialaura BonaccioDepartment of Epidemiology and Prevention, IRCCS NEUROMED, 86077 Pozzilli, Italy.ORCID 0000-0002-8082-6552
Emilia RuggieroDepartment of Epidemiology and Prevention, IRCCS NEUROMED, 86077 Pozzilli, Italy.ORCID 0000-0002-7109-1128
Augusto Di CastelnuovoMediterranea Cardiocentro, 80122 Napoli, Italy.ORCID 0000-0001-9767-7998
Claudia Francisca MartínezDepartment of Epidemiology and Prevention, IRCCS NEUROMED, 86077 Pozzilli, Italy.
Simona EspositoDepartment of Epidemiology and Prevention, IRCCS NEUROMED, 86077 Pozzilli, Italy.
Simona CostanzoDepartment of Epidemiology and Prevention, IRCCS NEUROMED, 86077 Pozzilli, Italy.ORCID 0000-0003-4569-1186
Chiara CerlettiDepartment of Epidemiology and Prevention, IRCCS NEUROMED, 86077 Pozzilli, Italy.ORCID 0000-0002-4759-3179
Maria Benedetta DonatiDepartment of Epidemiology and Prevention, IRCCS NEUROMED, 86077 Pozzilli, Italy.ORCID 0000-0003-1747-5443
Giovanni de GaetanoDepartment of Epidemiology and Prevention, IRCCS NEUROMED, 86077 Pozzilli, Italy.ORCID 0000-0002-7823-1402
Licia IacovielloDepartment of Epidemiology and Prevention, IRCCS NEUROMED, 86077 Pozzilli, Italy.ORCID 0000-0003-0514-5885
INHES Study Investigators
Istituto Neurologico Mediterraneo · ITClinica Mediterranea · ITUniversity of Insubria · IT

Funding

Ministry of Education, Universities and Research Project code PE0000003
6 · The paper itself

Abstract

Late eating is reportedly associated with adverse metabolic health, possibly through poor diet quality. We tested the hypothesis that meal timing could also be linked to food processing, an independent predictor of health outcomes. We analysed data on 8688 Italians (aged > 19years) from the Italian Nutrition & HEalth Survey (INHES) established in 2010-2013 throughout Italy. Dietary data were collected through a single 24 h dietary recall, and the NOVA classification was used to categorize foods according to increasing levels of processing: (1) minimally processed foods (e.g., fruits); (2) culinary ingredients (e.g., butter); (3) processed foods (e.g., canned fish); (4) ultra-processed foods (UPFs; e.g., carbonated drinks, processed meat). We then calculated the proportion (%) of each NOVA group on the total weight of food eaten (g/d) by creating a weight ratio. Subjects were classified as early or late eaters based on the population's median timing for breakfast, lunch and dinner. In multivariable-adjusted regression models, late eaters reported a lower intake of minimally processed food (β = -1.23; 95% CI -1.75 to -0.71), a higher intake of UPF (β = 0.93; 0.60 to 1.25) and reduced adherence to a Mediterranean Diet (β = -0.07; -0.12 to -0.03) as compared to early eaters. Future studies are warranted to examine whether increased UPF consumption may underpin the associations of late eating with adverse metabolic health reported in prior cohorts.

Indexed as

Diet, MediterraneanFood, ProcessedDietFast FoodsFeeding BehaviorFood HandlingFruitHealth Surveysfood processinglate eatingmeal timingNOVA classificationultra-processed food

Identifiers

PMID36986227
PMCPMC10058735
OpenAlexW4328121682

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.