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Cited by 14

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Physical Activity Producing Low, but Not Medium or Higher, Vertical Impacts Is Inversely Related to BMI in Older Adults: Findings From a Multicohort Study

Elhakeem, Ahmed, Hannam, Kimberly, Deere, Kevin C, Hartley, April, Clark, Emma M, Moss, Charlotte, Edwards, Mark H, Dennison, Elaine, Gaysin, Tim, Kuh, Diana, Wong, Andrew, Cooper, Cyrus, Cooper, Rachel, Tobias, Jon H·2018·The Journals of Gerontology: Series A
DOI 10.1093/gerona/glx176
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Research works printed but not linked: 27

  1. Bann, 2014, Physical activity across adulthood in relation to fat and lean body mass in early old age: findings from the Medical Research Council National Survey of Health and Development, 1946–2010, Am J Epidemiol, 179, 1197, 10.1093/aje/kwu033 · DOI
  2. Golubic, 2014, Levels of physical activity among a nationally representative sample of people in early old age: results of objective and self-reported assessments, Int J Behav Nutr Phys Act, 11, 58, 10.1186/1479-5868-11-58 · DOI
  3. Riddoch, 2009, Prospective associations between objective measures of physical activity and fat mass in 12-14 year old children: the Avon Longitudinal Study of Parents and Children (ALSPAC), BMJ, 339, b4544, 10.1136/bmj.b4544 · DOI
  4. Freedson, 1998, Calibration of the Computer Science and Applications, Inc. accelerometer, Med Sci Sports Exerc, 30, 777, 10.1097/00005768-199805000-00021 · DOI · Paper page
  5. Rubin, 1984, Regulation of bone formation by applied dynamic loads, J Bone Joint Surg Am, 66, 397, 10.2106/00004623-198466030-00012 · DOI · Paper page
  6. Tobias, 2014, Physical Activity and Bone: May the Force be with You, Front Endocrinol (Lausanne), 5, 20, 10.3389/fendo.2014.00020 · DOI
  7. Deere, 2016, Quantifying habitual levels of physical activity according to impact in older people: accelerometry protocol for the VIBE study, J Aging Phys Act, 24, 290, 10.1123/japa.2015-0066 · DOI
  8. Hannam, 2016, Characterization of vertical accelerations experienced by older people attending an aerobics class designed to produce high impacts, J Aging Phys Act, 24, 268, 10.1123/japa.2015-0060 · DOI
  9. Hannam, 2016, Habitual levels of higher, but not medium or low, impact physical activity are positively related to lower limb bone strength in older women: findings from a population-based study using accelerometers to classify impact magnitude, Osteoporos Int
  10. Lee, 2007, Endocrine regulation of energy metabolism by the skeleton, Cell, 130, 456, 10.1016/j.cell.2007.05.047 · DOI · Paper page
  11. Clark, 2012, Randomized controlled trial of a primary care-based screening program to identify older women with prevalent osteoporotic vertebral fractures: Cohort for Skeletal Health in Bristol and Avon (COSHIBA), J Bone Miner Res, 27, 664, 10.1002/jbmr.1478 · DOI
  12. Kuh, 2011, Cohort profile: updating the cohort profile for the MRC National Survey of Health and Development: a new clinic-based data collection for ageing research, Int J Epidemiol, 40, e1, 10.1093/ije/dyq231 · DOI · Paper page
  13. Kuh, 2016, The MRC National Survey of Health and Development reaches age 70: maintaining participation at older ages in a birth cohort study, Eur J Epidemiol, 31, 1135, 10.1007/s10654-016-0217-8 · DOI
  14. Syddall, 2005, Cohort profile: the Hertfordshire cohort study, Int J Epidemiol, 34, 1234, 10.1093/ije/dyi127 · DOI · Paper page
  15. Schaap, 2011, European Project on OSteoArthritis (EPOSA): methodological challenges in harmonization of existing data from five European population-based cohorts on aging, BMC Musculoskelet Disord, 12, 272, 10.1186/1471-2474-12-272 · DOI
  16. Hannam, 2017, 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, 28, 1001, 10.1007/s00198-016-3810-5 · DOI
  17. Ainsworth, 2011, 2011 Compendium of physical activities: a second update of codes and MET values, Med Sci Sports Exerc, 43, 1575, 10.1249/MSS.0b013e31821ece12 · DOI · Paper page
  18. Tennant, 2007, The Warwick-Edinburgh Mental Well-being Scale (WEMWBS): development and UK validation, Health Qual Life Outcomes, 5, 63, 10.1186/1477-7525-5-63 · DOI · Paper page
  19. White, 2011, Multiple imputation using chained equations: Issues and guidance for practice, Stat Med, 30, 377, 10.1002/sim.4067 · DOI · Paper page
  20. Deere, 2012, High impact activity is related to lean but not fat mass: findings from a population-based study in adolescents, Int J Epidemiol, 41, 1124, 10.1093/ije/dys073 · DOI
  21. Abe, 2012, Lower body site-specific sarcopenia and accelerometer-determined moderate and vigorous physical activity: the HIREGASAKI study, Aging Clin Exp Res, 24, 657, 10.1007/BF03654851 · DOI
  22. Foong, 2016, Accelerometer-determined physical activity, muscle mass, and leg strength in community-dwelling older adults, J Cachexia Sarcopenia Muscle, 7, 275, 10.1002/jcsm.12065 · DOI
  23. Schrack, 2016, Assessing daily physical activity in older adults: unraveling the complexity of monitors, measures, and methods, J Gerontol A Biol Sci Med Sci, 71, 1039, 10.1093/gerona/glw026 · DOI
  24. Schrack, 2014, Assessing the “physical cliff”: detailed quantification of age-related differences in daily patterns of physical activity, J Gerontol A Biol Sci Med Sci, 69, 973, 10.1093/gerona/glt199 · DOI
  25. Troiano, 2014, Evolution of accelerometer methods for physical activity research, Br J Sports Med, 48, 1019, 10.1136/bjsports-2014-093546 · DOI · Paper page
  26. Rejeski, 2017, Evaluating accelerometry thresholds for detecting changes in levels of moderate physical activity and resulting major mobility disability, J Gerontol A Biol Sci Med Sci
  27. Cooper, 2017, Obesity history and daily patterns of physical activity at age 60–64 years: findings from the MRC National Survey of Health and Development, J Gerontol A Biol Sci Med Sci, 10.1093/gerona/glw331 · DOI

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Metadata

Authors
Elhakeem, A., Hannam, K., Deere, K. C., Hartley, A., Clark, E. M., Moss, C., Edwards, M. H., Dennison, E., Gaysin, T., Kuh, D., Wong, A., Cooper, C., Cooper, R., & Tobias, J. H.
Venue
The Journals of Gerontology: Series A
Publisher
Oxford University Press (OUP)
Published
2017-09-19
Volume
73
Issue
5
Pages
643-651
ISSN
  • 1079-5006
  • 1758-535X
DOI
10.1093/gerona/glx176
Cited by
14
References
2
Language
en
Licence
creativecommons.org/licenses/by/4.0/ (vor)
Funders
Medical Research Council (MR/K024973/1)

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CoChat. (2026). Citation check: Physical Activity Producing Low, but Not Medium or Higher, Vertical Impacts Is Inversely Related to BMI in Older Adults: Findings From a Multicohort Study. https://app.cochat.ai/papers/10.1093/gerona/glx176
The paper
Elhakeem, A., Hannam, K., Deere, K. C., Hartley, A., Clark, E. M., Moss, C., Edwards, M. H., Dennison, E., Gaysin, T., Kuh, D., Wong, A., Cooper, C., Cooper, R., & Tobias, J. H. (2018). Physical Activity Producing Low, but Not Medium or Higher, Vertical Impacts Is Inversely Related to BMI in Older Adults: Findings From a Multicohort Study. The Journals of Gerontology: Series A. https://doi.org/10.1093/gerona/glx176

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.