NCT02984553

Brief Summary

The purpose of this study is to accurately assess weekly physical activity levels of postmenopausal women using lactate thresholds to individualize the accelerometer cut-points.

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
80

participants targeted

Target at P50-P75 for all trials

Timeline
Completed

Started Nov 2015

Geographic Reach
1 country

1 active site

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

November 1, 2015

Completed
1.1 years until next milestone

First Submitted

Initial submission to the registry

November 24, 2016

Completed
13 days until next milestone

First Posted

Study publicly available on registry

December 7, 2016

Completed
7 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

July 1, 2017

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

July 1, 2017

Completed
Last Updated

December 7, 2016

Status Verified

December 1, 2016

Enrollment Period

1.7 years

First QC Date

November 24, 2016

Last Update Submit

December 2, 2016

Conditions

Keywords

accelerometryaerobic fitnessmetabolic thresholdsmoderate to vigorous physical activity

Outcome Measures

Primary Outcomes (1)

  • Time spent in moderate-to-vigorous physical activities

    The time spent in moderate-to-vigorous physical activities during a week (The participants have to wear an accelerometer attatched at the hip on an elastic belt for a period of 7 days)

    1 week

Secondary Outcomes (3)

  • accelerometer intensity cut-points

    an average of 1 month

  • Number of vertical acceleration peaks during the day

    1 week

  • aerobic fitness

    an average of 1 month

Other Outcomes (2)

  • Maximum Strength

    1 day

  • Heart rate variability

    an average of 1 month

Eligibility Criteria

Age50 Years - 70 Years
Sexfemale
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Postmenopausal women

You may qualify if:

  • Age between 50 and 70 years
  • Surgical or natural menopause (no menstrual periods during at least the last 6 months)

You may not qualify if:

  • Body mass index less than 39kg/m2 (obesity class III)
  • Osteoporosis
  • Presence of low-trauma fractures or severe arthrosis at hip, knees or feet
  • Functional limitation to walk fast or altered gait patters and instability
  • Presence of any chronic disesase that would impair the cardiovascular (e.g. myocardial infarction, stroke, chronic heart failure), musculoskeletal (osteoporosis, low-trauma fractures) and respiratory systems (COPD) or any disease or medication known to affect bone metabolism (glucocorticoids)

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Centro de Estudios, Investigación y Medicina del Deporte

Pamplona, Navarre, 31005, Spain

Location

Related Publications (11)

  • Vainionpaa A, Korpelainen R, Vihriala E, Rinta-Paavola A, Leppaluoto J, Jamsa T. Intensity of exercise is associated with bone density change in premenopausal women. Osteoporos Int. 2006;17(3):455-63. doi: 10.1007/s00198-005-0005-x. Epub 2006 Jan 11.

    PMID: 16404492BACKGROUND
  • Martyn-St James M, Carroll S. High-intensity resistance training and postmenopausal bone loss: a meta-analysis. Osteoporos Int. 2006;17(8):1225-40. doi: 10.1007/s00198-006-0083-4. Epub 2006 Jun 1.

    PMID: 16823548BACKGROUND
  • Borer KT, Fogleman K, Gross M, La New JM, Dengel D. Walking intensity for postmenopausal bone mineral preservation and accrual. Bone. 2007 Oct;41(4):713-21. doi: 10.1016/j.bone.2007.06.009. Epub 2007 Jun 26.

    PMID: 17686670BACKGROUND
  • Freedson PS, Melanson E, Sirard J. Calibration of the Computer Science and Applications, Inc. accelerometer. Med Sci Sports Exerc. 1998 May;30(5):777-81. doi: 10.1097/00005768-199805000-00021.

    PMID: 9588623BACKGROUND
  • Ozemek C, Cochran HL, Strath SJ, Byun W, Kaminsky LA. Estimating relative intensity using individualized accelerometer cutpoints: the importance of fitness level. BMC Med Res Methodol. 2013 Apr 1;13:53. doi: 10.1186/1471-2288-13-53.

    PMID: 23547769BACKGROUND
  • Sasaki JE, John D, Freedson PS. Validation and comparison of ActiGraph activity monitors. J Sci Med Sport. 2011 Sep;14(5):411-6. doi: 10.1016/j.jsams.2011.04.003. Epub 2011 May 25.

    PMID: 21616714BACKGROUND
  • Singh SJ, Morgan MD, Scott S, Walters D, Hardman AE. Development of a shuttle walking test of disability in patients with chronic airways obstruction. Thorax. 1992 Dec;47(12):1019-24. doi: 10.1136/thx.47.12.1019.

    PMID: 1494764BACKGROUND
  • Miller NE, Strath SJ, Swartz AM, Cashin SE. Estimating absolute and relative physical activity intensity across age via accelerometry in adults. J Aging Phys Act. 2010 Apr;18(2):158-70. doi: 10.1123/japa.18.2.158.

    PMID: 20440028BACKGROUND
  • Lopes VP, Magalhaes P, Bragada J, Vasques C. Actigraph calibration in obese/overweight and type 2 diabetes mellitus middle-aged to old adult patients. J Phys Act Health. 2009;6 Suppl 1:S133-40. doi: 10.1123/jpah.6.s1.s133.

    PMID: 19998859BACKGROUND
  • Hannam K, Deere KC, Hartley A, Clark EM, Coulson J, Ireland A, Moss C, Edwards MH, Dennison E, Gaysin T, Cooper R, Wong A, McPhee JS, Cooper C, Kuh D, Tobias JH. A novel accelerometer-based method to describe day-to-day exposure to potentially osteogenic vertical impacts in older adults: findings from a multi-cohort study. Osteoporos Int. 2017 Mar;28(3):1001-1011. doi: 10.1007/s00198-016-3810-5. Epub 2016 Oct 31.

    PMID: 27798733BACKGROUND
  • Beneke R. Methodological aspects of maximal lactate steady state-implications for performance testing. Eur J Appl Physiol. 2003 Mar;89(1):95-9. doi: 10.1007/s00421-002-0783-1. Epub 2003 Jan 21.

    PMID: 12627312BACKGROUND

Study Officials

  • Esteban Gorostiaga, Medicine

    Centro de Estudios, Investigación y Medicina del Deporte

    STUDY DIRECTOR

Study Design

Study Type
observational
Observational Model
CASE ONLY
Time Perspective
CROSS SECTIONAL
Sponsor Type
OTHER GOV
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Principal Investigator

Study Record Dates

First Submitted

November 24, 2016

First Posted

December 7, 2016

Study Start

November 1, 2015

Primary Completion

July 1, 2017

Study Completion

July 1, 2017

Last Updated

December 7, 2016

Record last verified: 2016-12

Data Sharing

IPD Sharing
Will share

Codified IPD (personal data not shown, e.g. 321RR) will be shared with the Musculoskeletal Research Unit of the University of Bristol for the deep analysis of the 3th outcome

Locations