Clinical trial NCT03680768: Biological Age in Health Promotion - Novel Health Technology
Official title: Development of a New Biological Age Technology Applicable in Public Health Promotion Interventions.
Study type: OBSERVATIONAL
Overall status: COMPLETED
Conditions: Aging
Healthy
Keywords: Health
Risk of disease
Prediction
Lifestyle
Lead sponsor: University of Copenhagen
Sponsor class: OTHER
Collaborators: name: Technical University of Denmark
First posted: 2018-09-21
Enrollment: 100
Sex: ALL
Minimum age (years): 18
Maximum age (years): 65
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: yes
Observational model: COHORT
Time perspective: CROSS_SECTIONAL
Sampling method: NON_PROBABILITY_SAMPLE
Study population: Sample size representing the general healthy danish population

Brief summary: The purpose of this cross-sectional study is to collect relevant molecular markers of aging and measures of physiological function. Together these biomarkers are used to develope a new Biological Age model, useful in health promotion interventions in the public health sector .

Detailed description: Study design: 100 participants representing the healthy danish working adult population. This study seek to include both men and women equally distributed in the range of 18-65 of age.

Data collection: After recruitment, participants need to attend once to the laboratory, overnight fasted and without having exercised for the previous 24 hours.

All analyse are done in investigators lab (Xlab) at the department of Biomedical Sciences, Copenhagen University. When analyzes are done, the results are used in algorithm developement in cooperation with Technical university Denmark.

Eligibility criteria: Inclusion Criteria:

* Males and females interested in their personal health status
* Healthy males and females

Exclusion Criteria:

* Pregnancy
* Previous or current cardiovascular disease
* Use of medication that affects our measurements such as betablockers,statins or medication that affects the metabolism.

Primary outcomes:
measure: Biological Age
timeFrame: Day 1
Secondary outcomes:
measure: Fitness Level
timeFrame: Day 0
measure: Strength
timeFrame: Day 0
measure: Sit to Stand test
timeFrame: Day 0
measure: Central obesity
timeFrame: Day 0
measure: Weight
timeFrame: Day 0
measure: Height
timeFrame: Day 0
measure: Body composition
timeFrame: Day 0
measure: Muscle mass
timeFrame: Day 0
measure: Fat mass
timeFrame: Day 0
measure: Fat percentage
timeFrame: Day 0
measure: Lipid profile
timeFrame: Day 0
measure: Hormones
timeFrame: Day 0
measure: Inflammatory profile
timeFrame: Day 0
measure: Levels of glycated protein and lipids as a result of exposure of excess sugars
timeFrame: Day 0
measure: Color passport photography
timeFrame: Day 0
measure: Respirometry
timeFrame: Day 0
measure: Blood Pressure
timeFrame: Day 0
measure: Blood glucose
timeFrame: Day 0
measure: Blood profile
timeFrame: Day 0
measure: Aging biomarker
timeFrame: Day 0
measure: Youth biomarker
timeFrame: Day 0
Other outcomes:
Locations:
city: Copenhagen
country: Denmark
facility: University of Copenhagen, Department of Biomedical Sciences
Study officials:
affiliation: Biomedicinsk Institut
name: Jørn W Helge, Prof
role: PRINCIPAL_INVESTIGATOR
References:
citation: Husted KLS, Brink-Kjaer A, Fogelstrom M, Hulst P, Bleibach A, Henneberg KA, Sorensen HBD, Dela F, Jacobsen JCB, Helge JW. A Model for Estimating Biological Age From Physiological Biomarkers of Healthy Aging: Cross-sectional Study. JMIR Aging. 2022 May 10;5(2):e35696. doi: 10.2196/35696.
citation: Husted KLS, Fogelstrom M, Hulst P, Brink-Kjaer A, Henneberg KA, Sorensen HBD, Dela F, Helge JW. A Biological Age Model Designed for Health Promotion Interventions: Protocol for an Interdisciplinary Study for Model Development. JMIR Res Protoc. 2020 Oct 26;9(10):e19209. doi: 10.2196/19209.