Biological Age in Health Promotion - Novel Health Technology (BATE)

Development of a New Biological Age Technology Applicable in Public Health Promotion Interventions.

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 .

Study Overview

• Status: Completed
• Conditions: Healthy; Aging
• Intervention / Treatment: Other: Health Assessment

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.

• Study Type: Observational
• Enrollment (Actual): 100

Contacts and Locations

Study Locations

• Denmark
  • Copenhagen, Denmark, 2200
    • University of Copenhagen, Department of Biomedical Sciences

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 18 years to 65 years (Adult, Older Adult)
• Accepts Healthy Volunteers: Yes
• Genders Eligible for Study: All

• Sampling Method: Non-Probability Sample

Study Population

Sample size representing the general healthy danish population

Description

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.

Study Plan

How is the study designed?

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Biological Age	A composite score of ones biological state (in years)	Day 1

Secondary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Fitness Level	VO2max - maximal oxygen consumption (ml/min/kg)	Day 0
Strength	Hand grip, isometric quadriceps and biceps strength (Nm)	Day 0
Sit to Stand test	Rise and sit from a chair as many times as possible during 1 minute (number og rises)	Day 0
Central obesity	Waist to hip ratio is measured by dividing waist circumference with hip circumference in cm.	Day 0
Weight	measured in kilograms	Day 0
Height	measured in cm	Day 0
Body composition	BMI (kg/m2) is calculated	Day 0
Muscle mass	muscle mass(g) is assessed by dual energy x-ray absorptiometry (DXA) and bioimpedance	Day 0
Fat mass	fat mass(g) is assessed by DXA and bioimpedance	Day 0
Fat percentage	Fat%, is assessed by DXA and bioimpedance	Day 0
Lipid profile	HighDensityLipoprotein (mmol/L), LowDensityLipoprofile (mmol/L), TriGlycerides (mmol/L), FreeFattyAcids (mmol/L) and Glycerol (mmol/L) is measured in a blood sample.	Day 0
Hormones	Sex hormones: testosteron and estradiol (nmol/L) and InsulinGrowthFactor-1 (nmol/L) and Insulin (µU/ml) ais analysed from blood samples	Day 0
Inflammatory profile	C-reactive protein mg/L, soluble urokinase plasminogen activating receptor ng/ml, InterLeukin 6,8 and 10 (pg/mL), tumor necrosis factor (pg/mL), Leptin and Adiponectin (ng/ml) is analysed from blood samples	Day 0
Levels of glycated protein and lipids as a result of exposure of excess sugars	advanced glycation endproducts (AGE) measured in the skin	Day 0
Color passport photography	Profile picture taken to assess perceived age	Day 0
Respirometry	forced vital capacity and forced expiratory volume at one second(L)	Day 0
Blood Pressure	Systolic and Diastolic blood pressure (mmHg)	Day 0
Blood glucose	HbA1c and fasting glucose (mmol/L) measured from blood sample	Day 0
Blood profile	Haematocrit and Haemoglobin (mmol/L) measured in a blood sample	Day 0
Aging biomarker	Chemokines Eotaxin (CCL11) analysed from blood samples	Day 0
Youth biomarker	Growth Differential Factor (GDF-11) analysed from blood samples	Day 0

Collaborators and Investigators

• Sponsor: University of Copenhagen
• Collaborators: Technical University of Denmark
• Investigators: Principal Investigator: Jørn W Helge, Prof, Biomedicinsk Institut

Publications and helpful links

General Publications

• 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.
• 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. Erratum In: JMIR Aging. 2022 Jun 28;5(2):e40508.

Study record dates

Study Major Dates

• Study Start (Actual): October 9, 2018
• Primary Completion (Actual): December 20, 2019
• Study Completion (Actual): December 20, 2019

Study Registration Dates

• First Submitted: September 17, 2018
• First Submitted That Met QC Criteria: September 20, 2018
• First Posted (Actual): September 21, 2018

Study Record Updates

• Last Update Posted (Actual): February 19, 2020
• Last Update Submitted That Met QC Criteria: February 18, 2020
• Last Verified: February 1, 2020

More Information

Terms related to this study

• Keywords: Health; Prediction; Lifestyle; Risk of disease
• Other Study ID Numbers: Biological Age Technology

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: UNDECIDED

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No