Impact of Different Types of Higher Dietary Protein Intake on Sleep Quality in Singapore Older Adults
1 other identifier
interventional
54
1 country
1
Brief Summary
Today, insufficient sleep has become a growing global problem. Sleep is essential to health and changes in sleep patterns are a part of the aging process. Inadequate and low-quality sleep also increases the risk for age-related cognitive decline and disease conditions. More importantly, due to COVID-19 health emergency, there is a significant increase of psychological distress and symptoms of mental illness and a worsening of quality of sleep. Therefore, there is an urgent need to investigate the way of improving sleep quality, in particular during and post COVID-19 period, in older adults. One of the possible strategies in improving sleep quality with lifestyle modification is having higher-protein diet. However, this effect has not been fully elucidated in older adults. In addition, the effect of type of dietary protein on sleep quality is inconclusive and there is no clinical trial which assessed the differential response in sleep quality between animal-sourced protein vs. plant-sourced protein. Therefore, the purpose of this research project is to assess the impact of different types of higher dietary protein intake on sleep quality in Singapore older adults. Findings from the proposed research will provide the scientific evidence of the beneficial effects of regularly consuming higher-protein diet on sleep quality in Singapore older adults. In addition, this research may validate the differential effect of different type of dietary protein on sleep quality. The results from the proposed research will also assist a practical guidance of nutritional behaviour changes providing sleep promoting effects to a large proportion of the Singapore population.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Feb 2023
Typical duration for not_applicable
1 active site
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
May 27, 2022
CompletedFirst Posted
Study publicly available on registry
June 1, 2022
CompletedStudy Start
First participant enrolled
February 1, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 22, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2025
CompletedSeptember 10, 2025
September 1, 2025
1.7 years
May 27, 2022
September 4, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (5)
Change in sleep quality assessed by validated sleep questionnaires
Pittsburgh Sleep Quality Index Questionnaire (PSQI) will be used to assess the sleep quality. Overall score ranging from 0 to 21 points, where lower scores denote a healthier sleep quality.
Every 4 weeks (week 0, week 4, week 8, week 12 and week 16)
Change in sleep quality assessed by electronic equipment
An electronic equipment, actigraphy, will be used to assess the sleep quality, including sleep timing and wake up timing.
Every 4 weeks (week 0, week 4, week 8, week 12 and week 16)
Change in blood amino acid concentration
Amino acid concentration in the blood will be measured
Every 8 weeks (week 0 , week 8 and week 16)
Change in blood serotonin concentration
Serotonin concentration in the blood will be measured
Every 8 weeks (week 0 , week 8 and week 16)
Change in urinary 6-sulfatoxymelatonin (aMT6s) concentration
6-sulfatoxymelatonin (aMT6s) concentration in the urine samples will be measured
Every 8 weeks (week 0 , week 8 and week 16)
Secondary Outcomes (27)
Change in fecal microbiome composition
Every 8 weeks (week 0 , week 8 and week 16)
Change in fecal short chain fatty acid (SCFA) concentration
Every 8 weeks (week 0 , week 8 and week 16)
Change in serum lipopolysaccharide binding protein (LBP) concentration
Every 8 weeks (week 0 , week 8 and week 16)
Change in blood short chain fatty acid (SCFA) concentration
Every 8 weeks (week 0 , week 8 and week 16)
Change in fecal bile acids
Every 8 weeks (week 0 , week 8 and week 16)
- +22 more secondary outcomes
Study Arms (3)
Normal protein diet (control)
NO INTERVENTIONSubjects are to consume normal-protein diet based on the "My Healthy Plate" diet (launched by Health Promotion Board of Singapore) for the duration of the 16-week study.
High protein diet (soy)
EXPERIMENTALSubjects are to consume higher-protein diet by following the "My Healthy Plate" diet (launched by Health Promotion Board of Singapore) and 20g of soy protein isolate for the duration of the 16-week study.
High protein diet (Micellar Casein)
EXPERIMENTALSubjects are to consume higher-protein diet by following the "My Healthy Plate" diet (launched by Health Promotion Board of Singapore) and 20g of micellar casein isolate for the duration of the 16-week study.
Interventions
Intervention of the study include consuming a higher protein diet. Depending on the group allocation, this is done by asking the subjects to follow "My Healthy Plate" diet and consumption of 20g of protein isolates (casein or soy).
Eligibility Criteria
You may qualify if:
- Adults 60-85 years old
- Not following HPB diet
You may not qualify if:
- Weight change \> 3kg in the past 3 months
- Exercise vigorously over the past 3 months
- Drinking more than 2 alcoholic drinks per day
- (if applicable) Pre-menopausal women
- Taking dietary supplements or medications which may impact sleep outcomes (e.g. Nutritional Shakes (e.g. Ensure), Trp, 5-HTP or melatonin supplementations) the past 1 month
- Taking dietary supplements which may impact the gut microbiota (e.g. antibiotics, prebiotics, probiotics) the past 2 months (a list of fermented foods)
- Impaired renal function (normal values: estimated glomerular filtration rate ≥ 90 mL/min/1.73 m2 calculated by chronic kidney disease epidemiology collaboration equation; CKD EPI)
- Soy intolerance and/or allergy or any medical conditions that may be affected by consumption of soy products (e.g. gout)
- Prescribed and taking antihypertensive/cholesterol-lowering/ type-2 diabetic medication or Chinese medicine herb which started less than 3 years prior to the intervention participation
- Diagnosed with gut/gastrointestinal issues such as lactose intolerance and irritable bowel syndrome (IBS)
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
National University of Singapore
Singapore, 117546, Singapore
Related Publications (6)
Cappuccio FP, D'Elia L, Strazzullo P, Miller MA. Sleep duration and all-cause mortality: a systematic review and meta-analysis of prospective studies. Sleep. 2010 May;33(5):585-92. doi: 10.1093/sleep/33.5.585.
PMID: 20469800BACKGROUNDSutanto CN, Wang MX, Tan D, Kim JE. Association of Sleep Quality and Macronutrient Distribution: A Systematic Review and Meta-Regression. Nutrients. 2020 Jan 2;12(1):126. doi: 10.3390/nu12010126.
PMID: 31906452BACKGROUNDZhou J, Kim JE, Armstrong CL, Chen N, Campbell WW. Higher-protein diets improve indexes of sleep in energy-restricted overweight and obese adults: results from 2 randomized controlled trials. Am J Clin Nutr. 2016 Mar;103(3):766-74. doi: 10.3945/ajcn.115.124669. Epub 2016 Feb 10.
PMID: 26864362BACKGROUNDRosenfield AT, Zeman RK, Cronan JJ, Kay CJ. Ultrasound in the evaluation of renal masses. Conn Med. 1980 Jan;44(1):1-5. No abstract available.
PMID: 7353359BACKGROUNDSt-Onge MP, Crawford A, Aggarwal B. Plant-based diets: Reducing cardiovascular risk by improving sleep quality? Curr Sleep Med Rep. 2018 Mar;4(1):74-78. Epub 2018 Feb 5.
PMID: 29910998BACKGROUNDYao Y, Mak IE, Sutanto CN, Leong ZN, He Q, Pahwa U, Ling LH, Khoo CM, Ackers-Johnson MA, Foo RS, Kim JE. Impact of quantity and source of dietary protein intake within a healthy dietary pattern on cardiovascular disease risk factors in Singapore older adults: a randomized controlled trial. Food Funct. 2025 Dec 8;16(24):9533-9544. doi: 10.1039/d5fo03817k.
PMID: 41284351DERIVED
MeSH Terms
Interventions
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Jung Eun Kim, PhD
National University of Singapore
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- DOUBLE
- Who Masked
- INVESTIGATOR, OUTCOMES ASSESSOR
- Purpose
- BASIC SCIENCE
- Intervention Model
- FACTORIAL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Assistant Professor
Study Record Dates
First Submitted
May 27, 2022
First Posted
June 1, 2022
Study Start
February 1, 2023
Primary Completion
October 22, 2024
Study Completion
December 1, 2025
Last Updated
September 10, 2025
Record last verified: 2025-09
Data Sharing
- IPD Sharing
- Will not share
Electronic copies of the data with identifiable participant information will be kept on a secure website with access limited to Dr. Kim and her research staff. All data will be de-identified prior to statistical analyses.