PreEx: Why do People Respond Differently to Resistance Training?

Sponsor
University of Jyvaskyla (Other)
Overall Status
Recruiting
CT.gov ID
NCT05874986
Collaborator
(none)
240
1
1
7
34.5

Study Details

Study Description

Brief Summary

It is well known that regular resistance training (RT) can have health benefits. However, considerable heterogeneity in RT responses has been observed. The mechanisms underlying an individual's ability to respond to RT are mainly unknown but involve a complex network of genomic and non-genomic factors.

The investigators aim to examine heterogeneity in physiological responses to RT while closely monitoring other environmental factors (e.g., physical activity levels, nutrition, sleep, and stress). Participants are healthy sedentary men and women aged 18-45 (n=240). A controlled 12-week RT intervention will be conducted to characterize RT response.

Data will be collected before, during, and after the study period by using measurements of body composition, muscle size, and physical fitness characteristics, as well as by collecting blood samples and questionnaires.

The investigators will identify the underlying factors contributing to why people differ in their physiological responses to RT. For this, comprehensive background data will be collected to identify common denominators underlying individual differences in response to RT. The investigators will use sophisticated analytical methods to reveal new predictors of training response for different traits.

This research project aims to gain insight into the sources of individual variation in physiological responses to RT. On this basis, exercise training can be personalized to optimize the benefits of RT for all individuals. Ultimately, the investigators will also be able to justify better using RT as part of individualized healthcare strategies in the future.

Condition or Disease Intervention/Treatment Phase
  • Other: Resistance training
N/A

Detailed Description

The benefits of regular resistance training (RT) are well known, but it is also well known that tremendous inter-individual variability can be detected in responses to RT. The reason(s) for individual variations in responses to RT is a very complex physiological phenomenon and is still poorly known. The individual variation in trainability suggests genetic diversity but non-genetic determinants potentially contribute significantly to training responses.

The investigators hypothesize that in this study, a broad spectrum of adaptive responses to RT is detected. By scrutinizing participants' backgrounds, it can be elucidated why individuals respond differently to regular RT. Furthermore, it is hypothesized that the investigators can identify specific predictive markers for RT responsiveness. That is possible by combining information on training responsiveness with the personal characteristics of the participant.

Healthy young adults will be recruited to the study to understand the biological basis of heterogeneity in exercise responses by minimizing potential age and health-related physiological confounders. They are premised to respond positively to the study's primary outcome, which is maximal lower limb muscle strength. To collect comprehensive data, the number of participants is maximized within practical limitations, and thus, 240 participants are recruited. According to the investigators' extensive experience in fully supervised exercise training interventions with comprehensive and time-consuming physiological measures, this is the maximum number of participants that can examine within the timeframe allocated for data collection. Participants comprise an equal proportion of men and women, and sex differences in RT responsiveness will be investigated as a secondary aim of the study.

The study design is a single-arm trial. After assessing eligibility, participants engage in the baseline measurements and the 12-week fully supervised RT intervention. The training protocol is identical for each participant. The participants will train two times weekly, and the program will target all major muscle groups. Each training session includes exercises for the lower (leg presses, knee extensions/flexions) and upper body (bench presses, biceps curls, and seated row). For the first two weeks, the participants will perform ~15 repetitions per set (approximately 50-70% of the one repetition maximum, 1RM) and three sets per exercise. After that, the training load will be at an 8- to 12-RM zone for four sets per exercise. The change in muscle strength (10RM test) is assessed in the gym at 2-week intervals. Loads are increased progressively for the next 2-week period if the prescribed number of repetitions is completed for a given load. A questionnaire on perceived exertion in each exercise session (sRPE) will be obtained to evaluate the participant's intrinsic effort in performing exercises. The training is executed in a local university gym with a standardized time of day, and training diaries are used to track the training loads.

The measurements are obtained at baseline and after the intervention. Participants are informed of the study goals and are carefully familiarized with study protocols. All the tests are carried out at the same time of day. The participants are given feedback on their test results during the project. The primary outcome of this study is maximum leg press strength. Gains in muscle strength are determined by increased muscle size and/or improvements in capability to activate working muscles. In addition to genetics, environmental factors are essential in explaining individuality in training responses. In this project, the investigators focus on gathering comprehensive data on variables of participants' background, nutrition, health status, and physical activity that can potentially influence the heterogeneity of RT adaptations.

Study Design

Study Type:
Interventional
Anticipated Enrollment :
240 participants
Allocation:
N/A
Intervention Model:
Single Group Assignment
Masking:
None (Open Label)
Primary Purpose:
Basic Science
Official Title:
Precision Exercise (PreEx): Identifying the Determinants of Inter-individual Variation in Resistance Training Responses
Actual Study Start Date :
Feb 22, 2023
Anticipated Primary Completion Date :
Sep 22, 2023
Anticipated Study Completion Date :
Sep 22, 2023

Arms and Interventions

Arm Intervention/Treatment
Other: Training group

Resistance training

Other: Resistance training
12-week resistance training intervention
Other Names:
  • Exercise training
  • Outcome Measures

    Primary Outcome Measures

    1. Change in lower limb maximal strength after 12-week resistance training intervention [12-weeks]

      Maximal voluntary concentric muscle strength of leg extensors (kg) is determined in horizontal leg press device (David 210) via one-repetition maximum (1RM) test according to the NCSA guidelines

    Secondary Outcome Measures

    1. Change in m.Vastus Lateralis cross-sectional area (CSA) after 12-week resistance training intervention [12-weeks]

      Vastus Lateralis muscle CSA (cm^2) is determined at mid-thigh using a B-mode axial plane ultrasound (model SSD-α10, Aloka, Tokyo, Japan) with a 10 MHz linear-array probe (60 mm width) in extended-field-of-view mode (23 Hz sampling frequency)

    2. Change in whole body fat-free mass after 12-week resistance training intervention [12-weeks]

      Fat-free body mass (kg) is measured at morning after overnight fasting by bioimpedance device (InBody 770, Biospace Co. Seoul, Korea)

    3. Change in whole body fat mass after 12-week resistance training intervention [12-weeks]

      Fat body mass (kg) is measured at morning after overnight fasting by bioimpedance device (InBody 770, Biospace Co. Seoul, Korea)

    4. Change in waist circumference after 12-week resistance training intervention [12-weeks]

      Waist circumference is measured by measuring tape horizontally around the waist above hipbones after exhaling in standing position

    5. Change in grip strength after 12-week resistance training intervention [12-weeks]

      The maximal isometric grip strength is measured on dominant side at 90 degree elbow angle in a sitting position using a dynamometer chair (Good Strength, Metitur, Palokka, Finland)

    6. Change in maximal vertical jump height after 12-week resistance training intervention [12-weeks]

      The countermovement jump height is calculated by measurement of flight time by jump mat

    7. Change in blood count determined from the venous blood sample obtained at morning after overnight fasting before and after 12-week resistance training intervention [12-weeks]

      Full blood count is measured by hematology analyzer (Sysmex KX-21N, Sysmex Corp., Japan)

    8. Change in C-reactive protein (CRP) determined from the venous blood sample obtained at morning after overnight fasting before and after 12-week resistance training intervention [12-weeks]

      Serum CRP is measured by high-sensitivity ELISA kit (Quantikine HS, R&D Systems, Minneapolis, USA).

    9. Change in metabolomics determined from the venous blood sample obtained at morning after overnight fasting before and after 12-week resistance training intervention [12-weeks]

      A high-throughput serum Nuclear Magnetic Resonance (NMR) metabolomics platform will be used for the absolute quantification of serum lipids and metabolite profile.

    10. Self-reported measure of physical activity [Baseline and after 12-week resistance training intervention]

      Investigated by the Global Physical Activity Questionnaire (GPAQ), a standardized 16-question questionnaire that assesses categories of low, moderate, and vigorous physical activity (in MET minutes per week) in three different domains: activity at work, travel to and from places, and leisure activities. Also, sedentary behavior (minutes per week) is assessed.

    11. Sleep self-assessment [Baseline and after 12-week resistance training intervention]

      Investigated by The Pittsburgh Sleep Quality Index (PSQI) questionnaire which consists of questions of a four-point Likert scale (0-3), with higher scores representing greater sleep difficulties.

    12. Self-report of eating disorder behaviors and attitudes [Baseline and after 12-week resistance training intervention]

      Investigated by the Eating Disorder Examination Questionnaire (EDE-Q), which assesses the extent, frequency, and severity of eating disorder-related behaviors on a seven-point Likert scale or occurrence over a 28-day period. Higher scores represent higher levels of eating disorders.

    13. Self-estimated dietary intake [Baseline and after 12-week resistance training intervention]

      Investigated by a food frequency questionnaire (FFQ) which consists of a finite list of foods and beverages with response categories to indicate usual frequency of consumption over the time period queried.

    14. Self-estimated energy availability [Baseline and after 12-week resistance training intervention]

      Investigated by the Low Energy Availability Questionnaire (LEAF-Q for females, LEAM-Q for men) which identifies persons at risk for low energy availability by utilizing subsets of gastrointestinal symptoms, injury frequency, and menstrual dysfunction (in women). A score ≥8 indicates that an individual is at risk for low energy availability.

    15. Self-measure of perceived stress [Baseline and after 12-week resistance training intervention]

      Investigated by Perceived Stress Scale (14 items); from 0 (never) to 4 (very often)

    16. Self-assessed personality traits [Baseline]

      Investigated by Finnish NEO Five-Factor Inventory

    Other Outcome Measures

    1. Background information of the participants [Baseline]

      Background information of the participants that are critical for training responsiveness is recorded by questionnaires, including educational and socioeconomic status (i.e., educational attainment, occupation, household income level, work and marital status, social and environmental support to exercise), history of physical training, manual labor history, medications and medical history, familial disease risks, health status (e.g. acute inflammations and acute upper respiratory infections), personality, and exercise behavior.

    Eligibility Criteria

    Criteria

    Ages Eligible for Study:
    18 Years to 45 Years
    Sexes Eligible for Study:
    All
    Accepts Healthy Volunteers:
    Yes
    Inclusion Criteria:
    • age 18-45

    • healthy (e.g., no diagnosed type 2 diabetes, cardiovascular disease, musculoskeletal disorders, etc.)

    • limited experience in resistance training

    Exclusion Criteria:
    • medication affecting the cardiovascular system or metabolism

    • metabolic, musculoskeletal, cardiovascular, or other diseases or disorders which may preclude the ability to perform exercise training and testing

    Contacts and Locations

    Locations

    Site City State Country Postal Code
    1 University of Jyväskylä Jyväskylä Central Finland Finland 40014

    Sponsors and Collaborators

    • University of Jyvaskyla

    Investigators

    • Principal Investigator: Juha P Ahtiainen, Assoc.Prof., University of Jyväskylä, Faculty of Sport and Health Sciences

    Study Documents (Full-Text)

    None provided.

    More Information

    Publications

    None provided.
    Responsible Party:
    Juha Ahtiainen, Associate Professor, University of Jyvaskyla
    ClinicalTrials.gov Identifier:
    NCT05874986
    Other Study ID Numbers:
    • 60/13.00.04.00/2023
    First Posted:
    May 25, 2023
    Last Update Posted:
    May 25, 2023
    Last Verified:
    May 1, 2023
    Individual Participant Data (IPD) Sharing Statement:
    Yes
    Plan to Share IPD:
    Yes
    Studies a U.S. FDA-regulated Drug Product:
    No
    Studies a U.S. FDA-regulated Device Product:
    No

    Study Results

    No Results Posted as of May 25, 2023