Objective Physical Activity Assesment in Postmenopausal Women
The Use of Lactate Thresholds to Individualize Accelerometer Cut-points and Objectively Assess Physical Activity Levels in Postmenopausal Women
1 other identifier
observational
80
1 country
1
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
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Nov 2015
1 active site
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
CompletedFirst Submitted
Initial submission to the registry
November 24, 2016
CompletedFirst Posted
Study publicly available on registry
December 7, 2016
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 1, 2017
CompletedStudy Completion
Last participant's last visit for all outcomes
July 1, 2017
CompletedDecember 7, 2016
December 1, 2016
1.7 years
November 24, 2016
December 2, 2016
Conditions
Keywords
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
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
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: 16404492BACKGROUNDMartyn-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: 16823548BACKGROUNDBorer 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: 17686670BACKGROUNDFreedson 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: 9588623BACKGROUNDOzemek 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: 23547769BACKGROUNDSasaki 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: 21616714BACKGROUNDSingh 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: 1494764BACKGROUNDMiller 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: 20440028BACKGROUNDLopes 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: 19998859BACKGROUNDHannam 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: 27798733BACKGROUNDBeneke 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
- STUDY DIRECTOR
Esteban Gorostiaga, Medicine
Centro de Estudios, Investigación y Medicina del Deporte
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