NCT05163964

Brief Summary

Chronotype and chrononutrition, both are emerging research fields in nutritional epidemiology. However, its association with glycemic control in the global population is less clear. A better understanding of how activity/ eating time can influence glucose levels in prediabetic individuals may improve strategies for blood glucose control. The present paper aims to determine the associations of chronotype and chrononutrition with glucose tolerance among prediabetic individuals in Malaysia.

Trial Health

87
On Track

Trial Health Score

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

Enrollment
120

participants targeted

Target at P50-P75 for all trials

Timeline
Completed

Started Jan 2022

Geographic Reach
1 country

11 active sites

Status
completed

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

First Submitted

Initial submission to the registry

November 8, 2021

Completed
1 month until next milestone

First Posted

Study publicly available on registry

December 20, 2021

Completed
12 days until next milestone

Study Start

First participant enrolled

January 1, 2022

Completed
2 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2023

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2023

Completed
Last Updated

May 8, 2024

Status Verified

May 1, 2024

Enrollment Period

2 years

First QC Date

November 8, 2021

Last Update Submit

May 6, 2024

Conditions

Keywords

ChrononutritionChronotypeGlycemic outcomesMeal Timing

Outcome Measures

Primary Outcomes (4)

  • The change of baseline glycated hemoglobin (HbA1c) among prediabetes adults at 6 months.

    The results displayed in unit (%)

    Baseline to 6 months

  • The change of baseline fasting plasma glucose (FPG) among prediabetes adults at 6 months.

    The results displayed in unit (mmol/L).

    Baseline to 6 months

  • The change of baseline 2-hour post-load plasma glucose among prediabetes adults at 6 months.

    The results displayed in unit (mmol/L).

    Baseline to 6 months

  • The change of baseline continuous glucose monitoring (CGM) profile among prediabetes adults at 6 months.

    The results displayed in glycemic variability.

    Baseline to 6 months

Secondary Outcomes (2)

  • The change of eating misalignment among prediabetes adults at 6 months

    Baseline to 6 months

  • The change of chronotype among prediabetes adults at 6 months.

    Baseline to 6 months

Study Arms (1)

Control Group

Prediabetes patients aged 18-65 years old, who plan to continue healthcare services at a community clinic in Malacca, no literacy barries

Behavioral: Lifestyle Intervention

Interventions

Circadian misalignment contributes to the high glycemic outcome. To adjust meal timing earlier and avoid late-night meal eating patterns, to switch from the evening chronotype to morning chronotype possibility to reverse glucose fluctuation conditions.

Also known as: Dietary consultation
Control Group

Eligibility Criteria

Age18 Years - 65 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

The proposed study will be conducted in community clinics in Malacca, Malaysia. Malacca is the capital of the coastal stage, located in southwestern Malaysia, with an estimated total population of 0.93 million in the year 2019 (Department of Survey and Mapping Malaysia, 2021). In 2019, National Health and Morbidity Survey reported that 17% of Malaccan adults had hyperglycemia and 13.7% of them had known diabetes. Malacca is 1 out of the top five states showing the highest prevalence of diabetes in Malaysia (IPH, NIH and MOH, 2019). Prediabetes and diabetes will be defined according to the latest Clinical Practice Guideline in Malaysia (WHO \& IDF, 2006; ADA, 2020; MOH et al., 2020).

You may qualify if:

  • Newly diagnosed prediabetic individuals who have been first seen by clinical dieticians registered under the Ministry of Health Malaysia.
  • Malaysian ≥ 18 years old.
  • Those who plan to continue prediabetes care at the selected community clinic in Melaka.
  • Those who can read, write and understand the Malay Language.

You may not qualify if:

  • Night shift workers at least 3 times per week.
  • Known sleep disorder.
  • Pregnant Women.
  • Those on oral glucose-lowering medications, diabetes supplements, anticonvulsant medications or oral steroids currently or in the last month.
  • Those with prior explored to any information regarding time-of-eating/time-of-activity restriction.
  • Those with chronic kidney disease. They are excluded as current research lack of evidence to support the accuracy of using 24-hour continuous glucose monitoring system (CGMS) (Freestyle Libre Pro, Abbott, Germany).

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (11)

Community Clinic Sungai Udang

Melaka Tengah, Melaka, 75350, Malaysia

Location

Community Clinic Ayer Keroh

Melaka Tengah, Melaka, 75450, Malaysia

Location

Community Clinic Ayer Molek

Melaka Tengah, Melaka, 75450, Malaysia

Location

Community Clinic Bukit Rambai

Melaka Tengah, Melaka, 75450, Malaysia

Location

Community Clinic Jalan Gereja

Melaka Tengah, Melaka, 75450, Malaysia

Location

Community Clinic Klebang Besar

Melaka Tengah, Melaka, 75450, Malaysia

Location

Community Clinic Seri Tanjung

Melaka Tengah, Melaka, 75450, Malaysia

Location

Community Clinic Tengkera

Melaka Tengah, Melaka, 75450, Malaysia

Location

Community Clinic Ujong Pasir

Melaka Tengah, Melaka, 75450, Malaysia

Location

Community Clinic Peringgit

Malacca, 75450, Malaysia

Location

Community Clinic Batu Berendam

Malacca, 77000, Malaysia

Location

Related Publications (11)

  • Wirth MD, Zhao L, Turner-McGrievy GM, Ortaglia A. Associations between Fasting Duration, Timing of First and Last Meal, and Cardiometabolic Endpoints in the National Health and Nutrition Examination Survey. Nutrients. 2021 Aug 3;13(8):2686. doi: 10.3390/nu13082686.

    PMID: 34444846BACKGROUND
  • Mezitis NHE, Bhatnagar V. Chrononutrition Applied to Diabetes Management: A Paradigm Shift Long Delayed. Diabetes Spectr. 2018 Nov;31(4):349-353. doi: 10.2337/ds18-0014. No abstract available.

    PMID: 30510391BACKGROUND
  • Hawley JA, Sassone-Corsi P, Zierath JR. Chrono-nutrition for the prevention and treatment of obesity and type 2 diabetes: from mice to men. Diabetologia. 2020 Nov;63(11):2253-2259. doi: 10.1007/s00125-020-05238-w. Epub 2020 Aug 6.

    PMID: 32761356BACKGROUND
  • Oda H. Chrononutrition. J Nutr Sci Vitaminol (Tokyo). 2015;61 Suppl:S92-4. doi: 10.3177/jnsv.61.S92.

    PMID: 26598903BACKGROUND
  • Jiang P, Turek FW. Timing of meals: when is as critical as what and how much. Am J Physiol Endocrinol Metab. 2017 May 1;312(5):E369-E380. doi: 10.1152/ajpendo.00295.2016. Epub 2017 Jan 31.

    PMID: 28143856BACKGROUND
  • Sakai R, Hashimoto Y, Ushigome E, Miki A, Okamura T, Matsugasumi M, Fukuda T, Majima S, Matsumoto S, Senmaru T, Hamaguchi M, Tanaka M, Asano M, Yamazaki M, Oda Y, Fukui M. Late-night-dinner is associated with poor glycemic control in people with type 2 diabetes: The KAMOGAWA-DM cohort study. Endocr J. 2018 Apr 26;65(4):395-402. doi: 10.1507/endocrj.EJ17-0414. Epub 2018 Jan 27.

  • Imai S, Kajiyama S, Hashimoto Y, Yamane C, Miyawaki T, Ozasa N, Tanaka M, Fukui M. Divided consumption of late-night-dinner improves glycemic excursions in patients with type 2 diabetes: A randomized cross-over clinical trial. Diabetes Res Clin Pract. 2017 Jul;129:206-212. doi: 10.1016/j.diabres.2017.05.010. Epub 2017 May 16.

  • Gouda M, Matsukawa M, Iijima H. Associations between eating habits and glycemic control and obesity in Japanese workers with type 2 diabetes mellitus. Diabetes Metab Syndr Obes. 2018 Oct 17;11:647-658. doi: 10.2147/DMSO.S176749. eCollection 2018.

  • Anothaisintawee T, Lertrattananon D, Thamakaison S, Knutson KL, Thakkinstian A, Reutrakul S. Later chronotype is associated with higher hemoglobin A1c in prediabetes patients. Chronobiol Int. 2017;34(3):393-402. doi: 10.1080/07420528.2017.1279624. Epub 2017 Jan 27.

  • Chong GY, Kaur S, Abd Talib R, Loy SL, Tan HY, Binti Abdullah R, Binti Mahmud H, Siah WY, Tan LK, Kee CC, Koo HC. Association between chrononutrition, sleep behaviours, and glycaemic outcomes in individuals with prediabetes: Findings from the Chrono-DMTM study. Chronobiol Int. 2025 Oct;42(10):1328-1340. doi: 10.1080/07420528.2025.2543298. Epub 2025 Aug 20.

  • Chong GY, Kaur S, Talib RA, Loy SL, Tan HY, Harjit Singh SS, Abdullah RB, Mahmud HB, Siah WY, Koo HC. Chronotype, chrononutrition and glucose tolerance among prediabetic individuals: research protocol for a prospective longitudinal study Chrono-DM. BMC Prim Care. 2022 Aug 4;23(1):193. doi: 10.1186/s12875-022-01815-7.

Related Links

MeSH Terms

Conditions

Prediabetic StateDiabetes Mellitus, Type 2

Condition Hierarchy (Ancestors)

Diabetes MellitusGlucose Metabolism DisordersMetabolic DiseasesNutritional and Metabolic DiseasesEndocrine System Diseases

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Target Duration
6 Months
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Associate Professor

Study Record Dates

First Submitted

November 8, 2021

First Posted

December 20, 2021

Study Start

January 1, 2022

Primary Completion

December 31, 2023

Study Completion

December 31, 2023

Last Updated

May 8, 2024

Record last verified: 2024-05

Data Sharing

IPD Sharing
Will not share

The validation and reliability of Chrononutrition Profile Questionnaire planned to share with researchers but the other data are not shared with other researchers.

Locations