Association Between Food/Nutrient Intake and Sleep Quality in Middle Aged and Older Population

NCT03554954 | Completed Results

• 1 other identifier: S1
• Study Type: observational
• Target: 108
• Locations: 1 country
• Sites: 1

Brief Summary

Sleep is essential to health. Quality of sleep, measure through indexes of sleep, is related to the incidence of obesity, type 2 diabetes, cardiovascular disease, hypertension, and premature death. Sleep pattern changes as people age. They tend to have a harder time falling asleep and more trouble staying asleep than when they were younger. Studies have shown that food/nutrient intake may be associated with sleep duration, quality, and patterns. Singapore's population is aging rapidly and improving their indexes of sleep may result in their health promotion.

Conditions

Sleep

Keywords

Nutrients; Diet; Sleep Quality; Middle-aged adults; Older adults

Outcome Measures

Primary Outcomes (9)

• Sleep Quality Assessment 1 (GSS)

  Pittsburgh sleep quality index (PSQI) Global Sleep Score (GSS): 0-21 (arbitrary unit; au) A lower value indicates better sleep quality

  Day 1

• Sleep Quality Assessment 2

  Sleep evaluation questionnaire Score: 0-56 (arbitrary unit) Lower score suggests better sleep

  Day 1

• Dietary Assessment

  Food Frequency Questionnaire (FFQ)

  Day 1

• Dietary Assessment 2 (Dietary Carotenoids)

  3 Day 24-Hr Dietary Recall: Participants will be given a diagram showing serving sizes that they can refer to for measurements. Only 3 out of the 7 days of the week are required for the participants to record their food intake. Results are reported as the average value of the analysed nutrients (dietary carotenoids) across the 3 days the dietary data was collected.

  Day 3

• Blood Amino Acid Concentration (Plasma Tryptophan)

  Amino acid analysis on collected blood serum for blood amino acid profile.

  Day 1

• Dietary Assessment 2 (Dietary Macronutrients)

  3 Day 24-Hr Dietary Recall: Participants will be given a diagram showing serving sizes that they can refer to for measurements. Only 3 out of the 7 days of the week are required for the participants to record their food intake. Results are reported as the average value of the analysed nutrients (dietary fat) across the 3 days the dietary data was collected.

  Day 3

• Sleep Quality Assessment 1 (Sleep Duration)

  Pittsburgh sleep quality index (PSQI) Sleep duration (hours)

  Day 1

• Sleep Quality Assessment 1 (Sleep Latency)

  Pittsburgh sleep quality index (PSQI) Sleep latency (minutes)

  Day 1

• Sleep Quality Assessment 1 (Sleep Efficiency)

  Pittsburgh sleep quality index (PSQI) Sleep efficiency (%)

  Day 1

Secondary Outcomes (8)

• Blood Pressure

  Day 1

• Anthropometric Measurements 1

  Day 1

• Anthropometric Measurements 2

  Day 1

• Anthropometric Measurements 3

  Day 1

• Skin Carotenoid Status

  Day 1

Eligibility Criteria

• Age: 50 Years - 75 Years
• Sex: all
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Study population includes middle-aged and older adults (aged 50 to 75 years) who are in general good health and not regularly having protein or vitamin supplements.

You may qualify if:

• Ability to give an informed consent
• Age 50 to 75 years
• Not taking dietary supplements which may impact the outcome of the interests (I.e. dietary protein and vitamin supplements)
• Not having significant dietary changes for the past 1 year (i.e. weight loss, vegetarian diet)
• Having sufficient venous access to allow the blood collection
• Willing to follow the study procedure

You may not qualify if:

• Unable to give an informed consent
• Age \< 50 years
• Taking dietary supplements which may impact the outcome of the interest (i.e. dietary proteins and vitamin supplements)
• Having/had significant dietary changes for the past 1 year
• Not having sufficient venous access to allow the blood collection
• Unwilling to follow the study procedure

Sponsors & Collaborators

• National University of Singapore: lead

Study Sites (1)

Investigational Medical Unit (IMU)

Singapore, 117599, Singapore

Location

Related Publications (5)

• Smagula SF, Koh WP, Wang R, Yuan JM. Chronic disease and lifestyle factors associated with change in sleep duration among older adults in the Singapore Chinese Health Study. J Sleep Res. 2016 Feb;25(1):57-61. doi: 10.1111/jsr.12342.

  PMID: 26412328 RESULT

• Pan A, De Silva DA, Yuan JM, Koh WP. Sleep duration and risk of stroke mortality among Chinese adults: Singapore Chinese health study. Stroke. 2014 Jun;45(6):1620-5. doi: 10.1161/STROKEAHA.114.005181. Epub 2014 Apr 17.

  PMID: 24743442 RESULT

• Dashti HS, Scheer FA, Jacques PF, Lamon-Fava S, Ordovas JM. Short sleep duration and dietary intake: epidemiologic evidence, mechanisms, and health implications. Adv Nutr. 2015 Nov 13;6(6):648-59. doi: 10.3945/an.115.008623. Print 2015 Nov.

  PMID: 26567190 RESULT

• Tan D, Sutanto CN, Lin JWX, Toh DWK, Le KA, Kim JE. Measures of carbohydrate quality and their association with diet quality and cardiometabolic health outcomes in Singapore middle-aged and older adults. Nutr Metab Cardiovasc Dis. 2023 Apr;33(4):778-788. doi: 10.1016/j.numecd.2023.01.008. Epub 2023 Jan 16.

  PMID: 36842956 DERIVED

• Toh DWK, Sutanto CN, Loh WW, Lee WY, Yao Y, Ong CN, Kim JE. Skin carotenoids status as a potential surrogate marker for cardiovascular disease risk determination in middle-aged and older adults. Nutr Metab Cardiovasc Dis. 2021 Feb 8;31(2):592-601. doi: 10.1016/j.numecd.2020.10.016. Epub 2020 Oct 26.

  PMID: 33358716 DERIVED

Biospecimen

Retention: SAMPLES WITH DNA

Whole Blood, Serum

MeSH Terms

Conditions

Sleep Initiation and Maintenance Disorders

Condition Hierarchy (Ancestors)

Sleep Disorders, Intrinsic; Dyssomnias; Sleep Wake Disorders; Nervous System Diseases; Mental Disorders

Results Point of Contact

• Title: Dr. Kim Jung Eun
• Organization: National University of Singapore

fstkje@nus.edu.sg

65161136

Study Officials

• Jung Eun Kim, PhD, RD

  NUS (Chemistry, FST)

  PRINCIPAL INVESTIGATOR

Publication Agreements

• PI is Sponsor Employee: No
• Restrictive Agreement: No

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: CROSS SECTIONAL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Assistant Professor

Study Record Dates

• First Submitted: April 22, 2018
• First Posted: June 13, 2018
• Study Start: August 2, 2018
• Primary Completion: October 31, 2019
• Study Completion: October 31, 2019
• Last Updated: June 1, 2020
• Results First Posted: June 1, 2020

Record last verified: 2020-05

Data Sharing

• IPD Sharing: Will not share

Locations

SG (1)