NCT06185634

Brief Summary

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.

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
70

participants targeted

Target at P50-P75 for not_applicable

Timeline
Completed

Started Nov 2023

Typical duration for not_applicable

Geographic Reach
1 country

1 active site

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

November 13, 2023

Completed
1 month until next milestone

First Submitted

Initial submission to the registry

December 15, 2023

Completed
14 days until next milestone

First Posted

Study publicly available on registry

December 29, 2023

Completed
1.9 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

November 13, 2025

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

November 13, 2025

Completed
Last Updated

January 9, 2024

Status Verified

January 1, 2024

Enrollment Period

2 years

First QC Date

December 15, 2023

Last Update Submit

January 7, 2024

Conditions

Keywords

Sleep qualityAnthropometric parametersMealtimingPastaCardiovascular riskGut microbiota

Outcome Measures

Primary Outcomes (1)

  • Sleep quality

    The assessment of sleep quality will be done by actigraphy and the following parameters will be evaluated: sleep onset time, end of sleep time, waking after sleep onset, total sleep time, sleep efficiency, number of awakenings, duration of awakenings, movement index, activity index and sleep regularity index.This assessment will be carried out at the beginning and end of each of the two intervention phases.

    7 months

Secondary Outcomes (26)

  • Weight change

    7 months

  • Body mass index (BMI) changes

    7 months

  • Fat mass changes

    7 months

  • Basal Metabolic Rate

    7 months

  • Fasting Blood Glucose changes

    7 months

  • +21 more secondary outcomes

Study Arms (2)

Group 1

EXPERIMENTAL

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

Other: Dietary intervention - Pasta at dinnerOther: Dietary intervention - Pasta at lunch

Group 2

EXPERIMENTAL

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

Other: Dietary intervention - Pasta at dinnerOther: Dietary intervention - Pasta at lunch

Interventions

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.

Group 1Group 2

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 1Group 2

Eligibility Criteria

Age18 Years - 65 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

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

You may not qualify if:

  • 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

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Unit of Clinical Nutrition, University Hospital of Careggi

Florence, 50134, Italy

RECRUITING

Related Publications (11)

  • 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.

    PMID: 34308127BACKGROUND
  • 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.

    PMID: 32075959BACKGROUND
  • 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.

    PMID: 27633109BACKGROUND
  • 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.

    PMID: 31677970BACKGROUND
  • 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.

    PMID: 11375322BACKGROUND
  • 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.

    PMID: 17284739BACKGROUND
  • 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.

    PMID: 27912059BACKGROUND
  • 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.

    PMID: 32684833BACKGROUND
  • 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.

    PMID: 30761090BACKGROUND
  • 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.

    PMID: 34549270BACKGROUND
  • 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.

MeSH Terms

Conditions

Sleep Initiation and Maintenance Disorders

Condition Hierarchy (Ancestors)

Sleep Disorders, IntrinsicDyssomniasSleep Wake DisordersNervous System DiseasesMental Disorders

Central Study Contacts

Francesco Sofi, MD, PhD

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Masking Details
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.
Purpose
TREATMENT
Intervention Model
CROSSOVER
Model Details: The experimental study will be a randomised controlled trial and will involve 2 phases of nutritional intervention.
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Professor

Study Record Dates

First Submitted

December 15, 2023

First Posted

December 29, 2023

Study Start

November 13, 2023

Primary Completion

November 13, 2025

Study Completion

November 13, 2025

Last Updated

January 9, 2024

Record last verified: 2024-01

Locations