Association of Midlife Dietary and Lifestyle Factors on Cardiac Functional Changes in the Elderly

NCT ID: NCT02791139

Last Updated: 2016-06-16

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

UNKNOWN

Total Enrollment

800 participants

Study Classification

OBSERVATIONAL

Study Start Date

2014-07-31

Study Completion Date

2017-04-30

Brief Summary

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The investigators aim to investigate the association of midlife dietary and lifestyle factors on cardiac functional changes in the elderly. The investigators hypothesize that even in those without clinically manifest cardiovascular disease, the extent of underlying abnormalities in cardiovascular structure and function in the elderly would be independently related to midlife dietary and lifestyle factors.

Detailed Description

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This proposal will investigate how midlife factors in diet and lifestyle affect various aspects of cardiac structure and function related to ageing. The investigators plan to conduct the study among a sub-cohort of 600 participants from the Singapore Chinese Health Study. Comprehensive information on diet and lifestyle factors had been collected at recruitment and updated in two subsequent follow-up interviews. Candidate nutrition-related blood biomarkers such as vitamins D, homocysteine, fatty acids (short, medium and long-chain) and lipids (LDL, HDL, triglycerides) will be analyzed from samples obtained between 1999 and 2004. The investigators will study effects of smoking, alcohol consumption, sleep duration, physical activity and diet on cardiac ageing. The investigators will study overall dietary pattern, intake of specific items such as fatty acids, soy food, coffee and tea beverages, from validated food frequency questionnaires (FFQ), and nutrients from questionnaire information from this cohort previously obtained.

These nutrient and lifestyle factors will be studied individually, and for their joint or interactive effects on cardiac ageing measurements. Quantitative cardiac ageing-related outcome parameters describing cardiac mass, systolic and diastolic function, and vessel distensibility will be examined by cardiac magnetic resonance imaging. Maximum oxygen uptake (VO2 max) will be calculated based on age, gender, waist circumference, resting heart rate, and exercise habits. Body composition will be analysed by a body composition analyser machine onto which subjects stand on.

Conditions

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Ageing

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

PROSPECTIVE

Study Groups

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Control

Healthy Volunteers will undergo the following studying procedures: Cardiovascular Magnetic Resonance Imaging (CMRI) Echocardiography Tonometry Genetic Testing (Blood) Hand-Grip Strength Measurement Body Fat Mass Analysis

Cardiovascular Magnetic Resonance Imaging (MRI)

Intervention Type OTHER

Cardiovascular MRI uses interaction of the magnetic properties of body tissues with strong magnetic fields to create heart images.

Echocardiography

Intervention Type OTHER

To measure heart chamber size, heart function, blood vessel size and blood vessel function. These measurements will help us understand the type and severity of heart failure.

Tonometry

Intervention Type OTHER

Tonometry is a noninvasive method to obtain arterial pressure waveform

Genetic Testing (Blood)

Intervention Type OTHER

The blood will be stored for genetic tests and development of cell lines to study genetic risks for aging related diseases and cardiovascular disease.

Hand-Grip Strength Measurement

Intervention Type OTHER

We will measure your hand grip strength using a standard hand dynamometer which is a portable meter that you will use your hands to press on.

Body Fat Mass Analysis

Intervention Type OTHER

Body composition will be analysed by a body composition analyser machine onto which you will have to stand on.

Ageing

Ageing cohort will undergo the following studying procedures:

Cardiovascular Magnetic Resonance Imaging (CMRI) Echocardiography Tonometry Genetic Testing (Blood) Body Fat Mass Analysis

Cardiovascular Magnetic Resonance Imaging (MRI)

Intervention Type OTHER

Cardiovascular MRI uses interaction of the magnetic properties of body tissues with strong magnetic fields to create heart images.

Echocardiography

Intervention Type OTHER

To measure heart chamber size, heart function, blood vessel size and blood vessel function. These measurements will help us understand the type and severity of heart failure.

Tonometry

Intervention Type OTHER

Tonometry is a noninvasive method to obtain arterial pressure waveform

Genetic Testing (Blood)

Intervention Type OTHER

The blood will be stored for genetic tests and development of cell lines to study genetic risks for aging related diseases and cardiovascular disease.

Body Fat Mass Analysis

Intervention Type OTHER

Body composition will be analysed by a body composition analyser machine onto which you will have to stand on.

Interventions

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Cardiovascular Magnetic Resonance Imaging (MRI)

Cardiovascular MRI uses interaction of the magnetic properties of body tissues with strong magnetic fields to create heart images.

Intervention Type OTHER

Echocardiography

To measure heart chamber size, heart function, blood vessel size and blood vessel function. These measurements will help us understand the type and severity of heart failure.

Intervention Type OTHER

Tonometry

Tonometry is a noninvasive method to obtain arterial pressure waveform

Intervention Type OTHER

Genetic Testing (Blood)

The blood will be stored for genetic tests and development of cell lines to study genetic risks for aging related diseases and cardiovascular disease.

Intervention Type OTHER

Hand-Grip Strength Measurement

We will measure your hand grip strength using a standard hand dynamometer which is a portable meter that you will use your hands to press on.

Intervention Type OTHER

Body Fat Mass Analysis

Body composition will be analysed by a body composition analyser machine onto which you will have to stand on.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Who were younger than 60 years at recruitment
* Had been interviewed at baseline and at the two follow-up interviews
* Had provided biospecimens for research previously before the age of 65 years (2000-2004)
* Who will be 65 years or older by 2013

Exclusion Criteria

* Any known history of heart disease or stroke
* Anticipated life expectancy \< 1 year
* Unable to provide written informed consent to participate in the study
* Patients with cancer
* Patients with chronic renal disease
* Any metallic implants
Minimum Eligible Age

60 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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National University of Singapore

OTHER

Sponsor Role collaborator

National Heart Centre Singapore

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Su-Mei Angela Koh, MBBS

Role: PRINCIPAL_INVESTIGATOR

National Heart Centre Singapore

Locations

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National Heart Centre Singapore

Singapore, Singapore, Singapore

Site Status RECRUITING

Countries

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Singapore

Central Contacts

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Su-Mei Angela Koh, MBBS

Role: CONTACT

Facility Contacts

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Angela Su-Mei Koh, MBBS

Role: primary

References

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Wong JJ, Zhang H, Leng S, Gao F, Zhao X, Tan K, Tan RS, Zhong L, Koh AS. Superior aortic strain and ventriculoarterial coupling in older women are moderately correlated with Framingham 10-year risk. Eur Heart J Imaging Methods Pract. 2025 Jun 4;3(1):qyaf075. doi: 10.1093/ehjimp/qyaf075. eCollection 2025 Jan.

Reference Type DERIVED
PMID: 40584917 (View on PubMed)

Wang LYT, Lim WS, Tan RS, Teo LLY, Tan SY, Ooi CH, Ong ACW, Kovalik JP, Goh J, Gao F, Koh AS. Frequency, intensity and duration of physical activity is associated with frailty in older adults with cardiac aging. Sci Rep. 2025 May 5;15(1):15679. doi: 10.1038/s41598-025-00657-4.

Reference Type DERIVED
PMID: 40325063 (View on PubMed)

Chng ACC, Tan HC, Teo LLY, Tan RS, Ewe SH, Leng S, Zhao XD, Zhong L, Koh WP, Kovalik JP, Gao F, Koh AS. Associations between glycated haemoglobin and multi-modal imaging markers of early cardiac aging. Geroscience. 2025 Apr;47(2):1911-1921. doi: 10.1007/s11357-024-01387-7. Epub 2024 Oct 14.

Reference Type DERIVED
PMID: 39397221 (View on PubMed)

Zhang H, Leng S, Gao F, Kovalik JP, Tan RS, Wee HN, Chua KV, Ching J, Zhao X, Allen J, Wu Q, Leiner T, Zhong L, Koh AS. Longitudinal aortic strain, ventriculo-arterial coupling and fatty acid oxidation: novel insights into human cardiovascular aging. Geroscience. 2024 Dec;46(6):5459-5471. doi: 10.1007/s11357-024-01127-x. Epub 2024 Mar 22.

Reference Type DERIVED
PMID: 38514519 (View on PubMed)

Tan YH, Lim JP, Lim WS, Gao F, Teo LLY, Ewe SH, Keng BMH, Tan RS, Koh WP, Koh AS. Obesity in Older Adults and Associations with Cardiovascular Structure and Function. Obes Facts. 2022;15(3):336-343. doi: 10.1159/000521729. Epub 2022 Mar 4.

Reference Type DERIVED
PMID: 35249039 (View on PubMed)

Kovalik JP, Zhao X, Gao F, Leng S, Chow V, Chew H, Teo LLY, Tan RS, Ewe SH, Tan HC, Wee HN, Lee LS, Ching J, Keng BMH, Koh WP, Zhong L, Koh AS. Amino acid differences between diabetic older adults and non-diabetic older adults and their associations with cardiovascular function. J Mol Cell Cardiol. 2021 Sep;158:63-71. doi: 10.1016/j.yjmcc.2021.05.009. Epub 2021 May 24.

Reference Type DERIVED
PMID: 34033835 (View on PubMed)

Koh AS, Velmurugan B, Gao F, Tan RS, Wong JI, Teo LLY, Keng BMH, Chua SJM, Yuan JM, Koh WP, Cheung C. Value of soluble Urokinase plasminogen activator receptor over age as a biomarker of impaired myocardial relaxation. BMC Geriatr. 2017 Nov 28;17(1):275. doi: 10.1186/s12877-017-0668-0.

Reference Type DERIVED
PMID: 29179674 (View on PubMed)

Other Identifiers

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2014/628/C

Identifier Type: -

Identifier Source: org_study_id

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