Impact of the Timing of Pasta Consumption on Health

NCT ID: NCT06185634

Last Updated: 2024-01-09

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Clinical Phase

NA

Total Enrollment

70 participants

Study Classification

INTERVENTIONAL

Study Start Date

2023-11-13

Study Completion Date

2025-11-13

Brief Summary

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To date, the optimal timing for pasta consumption remains uncertain. Based on recent evidence in the field of chrono-nutrition, it is speculated that eating pasta at dinner may have a negative impact on cardio-metabolic health. Carbohydrate intake during a period of minimal glucose tolerance could potentially alter the glycaemic profile and increase the risk of overweight and obesity. Conversely, other studies indicate that consuming carbohydrates at dinner may enhance sleep efficiency and quality. Thus, the aim of this study is, for the first time, to evaluate whether there are discernible differences between consuming pasta at lunch or dinner for the human health.

Detailed Description

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Background:

Pasta plays an indisputable role in the Mediterranean diet pyramid. Indeed, it is an excellent source of carbohydrates that can be part of a varied, balanced, and healthy diet. Despite this, more and more people are avoiding it because they consider it too caloric and associate it with weight gain, especially if eaten in the evening.

While it is known with certainty that the consumption of pasta, in the right quantities, is associated with positive health effects, there is limited information on the optimal time to consume it. The most common hypothesis is that it is better to consume it at lunch, as metabolism undergoes a physiological and progressive reduction as the evening approaches. Furthermore, recent findings in the field of chrono-nutrition have highlighted that glucose tolerance is high during the day and minimal during the night, suggesting that consuming a high amount of carbohydrates in the evening may predispose to weight gain and a worsened cardio-metabolic profile. On the other hand, according to some studies, consuming carbohydrates in the evening may ensure good sleep quality, as they are an excellent source of tryptophan, an amino acid that promotes serotonin production, also known as the sleep hormone.

Recently, some studies on animal models have suggested that the timing of carbohydrate consumption could also impact the composition and functionality of the gut microbiota. For example, it has been observed that the production of short-chain fatty acids (SCFA) fluctuates throughout the day under the control of the host's circadian rhythms. Considering that SCFA are produced from carbohydrates and are fundamental regulators for many metabolic processes, it could be extremely interesting to explore the relationship between "when carbohydrates are consumed" and microbial functionality.

In conclusion, to date, studies that have evaluated the timing of carbohydrate consumption are limited and rely on physiological and chrono-biological assumptions rather than experimental evidence. Consequently, it is not known whether consuming pasta at lunch or dinner, in the right quantities, may have effects on human weight and health.

Objective of the study:

The aim of this study is to assess, for the first time, whether there is a difference between consuming pasta at lunch or dinner in terms of sleep quality, anthropometric parameters, cardiovascular risk factors, composition and functionality of the gut microbiota in a sample of normal-weight subjects. Additionally, individual chronotype will be taken into consideration, a construct indicating when a subject is most active during the day, as recent studies have highlighted its impact on dietary habits, especially in terms of "meal timing," and human health.

Conditions

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Normal Weight

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

CROSSOVER

The experimental study will be a randomised controlled trial and will involve 2 phases of nutritional intervention.
Primary Study Purpose

TREATMENT

Blinding Strategy

NONE

In this study it will not be possible to blind the experimenters and participants. Blinding will be impossible for the experimenters, as they will provide the food plan with the dietary intervention. Blinding will also not be possible for the participants, who will have to eat pasta only at dinner for 3 months and only at lunch for the same period of time.

Study Groups

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Group 1

Group starting with the dietary intervention of eating pasta at dinner for 3 months.

Group Type EXPERIMENTAL

Dietary intervention - Pasta at dinner

Intervention Type OTHER

The "pasta at dinner" nutritional intervention will consist, as the name suggests, in eating pasta at dinner for 3 months. The dietary intervention will consist of a normo-caloric diet, defined on the basis of the individual basal metabolic rate measured by indirect calorimetry and on the calculation of the participant's calorie intake extrapolated from a 3-day food diary. The diet will be of the Mediterranean type with 30% of energy coming from fats, 15-20% from proteins and the remaining 50-55% from carbohydrates (mainly complexes). Calorie intake will be distributed as follows: 20% calories at breakfast, 5% calories in the mid-morning snack, 40% calories at lunch, 5% calories in the mid-afternoon snack, 30% calories at dinner.

Dietary intervention - Pasta at lunch

Intervention Type OTHER

The "pasta at lunch" nutritional intervention will consist, as the name suggests, in eating pasta at lunch for 3 months. The dietary intervention will consist of a normo-caloric diet, defined on the basis of the individual basal metabolic rate measured by indirect calorimetry and on the calculation of the participant's calorie intake extrapolated from a 3-day food diary. The diet will be of the Mediterranean type with 30% of energy coming from fats, 15-20% from proteins and the remaining 50-55% from carbohydrates (mainly complexes). Calorie intake will be distributed as follows: 20% calories at breakfast, 5% calories in the mid-morning snack, 40% calories at lunch, 5% calories in the mid-afternoon snack, 30% calories at dinner.

Group 2

Group starting with the dietary intervention of eating pasta at lunch for 3 months.

Group Type EXPERIMENTAL

Dietary intervention - Pasta at dinner

Intervention Type OTHER

The "pasta at dinner" nutritional intervention will consist, as the name suggests, in eating pasta at dinner for 3 months. The dietary intervention will consist of a normo-caloric diet, defined on the basis of the individual basal metabolic rate measured by indirect calorimetry and on the calculation of the participant's calorie intake extrapolated from a 3-day food diary. The diet will be of the Mediterranean type with 30% of energy coming from fats, 15-20% from proteins and the remaining 50-55% from carbohydrates (mainly complexes). Calorie intake will be distributed as follows: 20% calories at breakfast, 5% calories in the mid-morning snack, 40% calories at lunch, 5% calories in the mid-afternoon snack, 30% calories at dinner.

Dietary intervention - Pasta at lunch

Intervention Type OTHER

The "pasta at lunch" nutritional intervention will consist, as the name suggests, in eating pasta at lunch for 3 months. The dietary intervention will consist of a normo-caloric diet, defined on the basis of the individual basal metabolic rate measured by indirect calorimetry and on the calculation of the participant's calorie intake extrapolated from a 3-day food diary. The diet will be of the Mediterranean type with 30% of energy coming from fats, 15-20% from proteins and the remaining 50-55% from carbohydrates (mainly complexes). Calorie intake will be distributed as follows: 20% calories at breakfast, 5% calories in the mid-morning snack, 40% calories at lunch, 5% calories in the mid-afternoon snack, 30% calories at dinner.

Interventions

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Dietary intervention - Pasta at dinner

The "pasta at dinner" nutritional intervention will consist, as the name suggests, in eating pasta at dinner for 3 months. The dietary intervention will consist of a normo-caloric diet, defined on the basis of the individual basal metabolic rate measured by indirect calorimetry and on the calculation of the participant's calorie intake extrapolated from a 3-day food diary. The diet will be of the Mediterranean type with 30% of energy coming from fats, 15-20% from proteins and the remaining 50-55% from carbohydrates (mainly complexes). Calorie intake will be distributed as follows: 20% calories at breakfast, 5% calories in the mid-morning snack, 40% calories at lunch, 5% calories in the mid-afternoon snack, 30% calories at dinner.

Intervention Type OTHER

Dietary intervention - Pasta at lunch

The "pasta at lunch" nutritional intervention will consist, as the name suggests, in eating pasta at lunch for 3 months. The dietary intervention will consist of a normo-caloric diet, defined on the basis of the individual basal metabolic rate measured by indirect calorimetry and on the calculation of the participant's calorie intake extrapolated from a 3-day food diary. The diet will be of the Mediterranean type with 30% of energy coming from fats, 15-20% from proteins and the remaining 50-55% from carbohydrates (mainly complexes). Calorie intake will be distributed as follows: 20% calories at breakfast, 5% calories in the mid-morning snack, 40% calories at lunch, 5% calories in the mid-afternoon snack, 30% calories at dinner.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* normal weight condition (BMI=18.5-24.9 kg/m2)
* age between 18 and 65 years
* willing to give informed consent

Exclusion Criteria

* subjects who were involved in night work, planned long-distance jet travel during the study period, had irregular sleeping schedules or were taking any drugs known to affect sleep or metabolism
* presence of current chronic illness or unstable condition (e.g., cardiovascular disease, chronic liver disease, inflammatory bowel disease)
* current or recent (past 2 months) use of antibiotics or probiotics
* pregnancy or intention to become pregnant in the next 12 months
* breastfeeding
Minimum Eligible Age

18 Years

Maximum Eligible Age

65 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Azienda Ospedaliero-Universitaria Careggi

OTHER

Sponsor Role lead

Responsible Party

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Francesco Sofi

Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Unit of Clinical Nutrition, University Hospital of Careggi

Florence, , Italy

Site Status RECRUITING

Countries

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Italy

Central Contacts

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Francesco Sofi, MD, PhD

Role: CONTACT

+390552758042

Facility Contacts

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Francesco Sofi, Prof.

Role: primary

+390552758042

References

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Huang M, Lo K, Li J, Allison M, Wu WC, Liu S. Pasta meal intake in relation to risks of type 2 diabetes and atherosclerotic cardiovascular disease in postmenopausal women : findings from the Women's Health Initiative. BMJ Nutr Prev Health. 2021 Apr 30;4(1):195-205. doi: 10.1136/bmjnph-2020-000198. eCollection 2021.

Reference Type BACKGROUND
PMID: 34308127 (View on PubMed)

Henry CJ, Kaur B, Quek RYC. Chrononutrition in the management of diabetes. Nutr Diabetes. 2020 Feb 19;10(1):6. doi: 10.1038/s41387-020-0109-6.

Reference Type BACKGROUND
PMID: 32075959 (View on PubMed)

St-Onge MP, Mikic A, Pietrolungo CE. Effects of Diet on Sleep Quality. Adv Nutr. 2016 Sep 15;7(5):938-49. doi: 10.3945/an.116.012336. Print 2016 Sep.

Reference Type BACKGROUND
PMID: 27633109 (View on PubMed)

Frazier K, Chang EB. Intersection of the Gut Microbiome and Circadian Rhythms in Metabolism. Trends Endocrinol Metab. 2020 Jan;31(1):25-36. doi: 10.1016/j.tem.2019.08.013. Epub 2019 Oct 31.

Reference Type BACKGROUND
PMID: 31677970 (View on PubMed)

la Fleur SE, Kalsbeek A, Wortel J, Fekkes ML, Buijs RM. A daily rhythm in glucose tolerance: a role for the suprachiasmatic nucleus. Diabetes. 2001 Jun;50(6):1237-43. doi: 10.2337/diabetes.50.6.1237.

Reference Type BACKGROUND
PMID: 11375322 (View on PubMed)

Afaghi A, O'Connor H, Chow CM. High-glycemic-index carbohydrate meals shorten sleep onset. Am J Clin Nutr. 2007 Feb;85(2):426-30. doi: 10.1093/ajcn/85.2.426.

Reference Type BACKGROUND
PMID: 17284739 (View on PubMed)

Thaiss CA, Levy M, Korem T, Dohnalova L, Shapiro H, Jaitin DA, David E, Winter DR, Gury-BenAri M, Tatirovsky E, Tuganbaev T, Federici S, Zmora N, Zeevi D, Dori-Bachash M, Pevsner-Fischer M, Kartvelishvily E, Brandis A, Harmelin A, Shibolet O, Halpern Z, Honda K, Amit I, Segal E, Elinav E. Microbiota Diurnal Rhythmicity Programs Host Transcriptome Oscillations. Cell. 2016 Dec 1;167(6):1495-1510.e12. doi: 10.1016/j.cell.2016.11.003.

Reference Type BACKGROUND
PMID: 27912059 (View on PubMed)

Zhao M, Tuo H, Wang S, Zhao L. The Effects of Dietary Nutrition on Sleep and Sleep Disorders. Mediators Inflamm. 2020 Jun 25;2020:3142874. doi: 10.1155/2020/3142874. eCollection 2020.

Reference Type BACKGROUND
PMID: 32684833 (View on PubMed)

Gerard C, Vidal H. Impact of Gut Microbiota on Host Glycemic Control. Front Endocrinol (Lausanne). 2019 Jan 30;10:29. doi: 10.3389/fendo.2019.00029. eCollection 2019.

Reference Type BACKGROUND
PMID: 30761090 (View on PubMed)

Lotti S, Pagliai G, Colombini B, Sofi F, Dinu M. Chronotype Differences in Energy Intake, Cardiometabolic Risk Parameters, Cancer, and Depression: A Systematic Review with Meta-Analysis of Observational Studies. Adv Nutr. 2022 Feb 1;13(1):269-281. doi: 10.1093/advances/nmab115.

Reference Type BACKGROUND
PMID: 34549270 (View on PubMed)

Lotti S, Dinu M, Napoletano A, Pagliai G, Asensi MT, Giangrandi I, Cesari F, Becatti M, Amedei A, Fiorillo C, Marcucci R, Colombini B, Sofi F. The impact of the timing of pasta intake on sleep quality and health outcomes: a protocol for a randomized controlled trial. Trials. 2025 May 8;26(1):150. doi: 10.1186/s13063-025-08859-x.

Reference Type DERIVED
PMID: 40340858 (View on PubMed)

Other Identifiers

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PASTA-TIMING

Identifier Type: -

Identifier Source: org_study_id

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