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Associations between sedentary time, physical activity and bone health among older people using compositional data analysis

Rodríguez-Gómez, Irene, Mañas, Asier, Losa-Reyna, José, Rodríguez-Mañas, Leocadio, Chastin, Sebastien F. M., Alegre, Luis M., García-García, Francisco J., Ara, Ignacio·2018·PLOS ONE

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Crossref · 10.1371/journal.pone.0206013

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Research works printed but not linked: 44

  1. M Espallargues, 2001, Identifying bone-mass-related risk factors for fracture to guide bone densitometry measurements: a systematic review of the literature, Osteoporosis International, 12, 811, 10.1007/s001980170031 · DOI · Paper page
  2. JA Cauley, 2013, Public health impact of osteoporosis. Journals of Gerontology Series A, Biomedical Sciences and Medical Sciences, 68, 1243, 10.1093/gerona/glt093 · DOI · Paper page
  3. E Hernlund, 2013, Osteoporosis in the European Union: medical management, epidemiology and economic burden, Archives of osteoporosis, 8, 1
  4. J-Y Reginster, 2006, Osteoporosis: a still increasing prevalence, Bone, 38, 4, 10.1016/j.bone.2005.11.024 · DOI · Paper page
  5. JA Kanis, 2012, A systematic review of hip fracture incidence and probability of fracture worldwide, Osteoporosis International, 23, 2239, 10.1007/s00198-012-1964-3 · DOI · Paper page
  6. HG Ahlborg, 2010, Prevalence of osteoporosis and incidence of hip fracture in women-secular trends over 30 years, BMC musculoskeletal disorders, 11, 1, 10.1186/1471-2474-11-48 · DOI
  7. R Marks, 2010, Hip fracture epidemiological trends, outcomes, and risk factors, 1970–2009, International journal of general medicine, 3, 1
  8. SE Noel, 2017, Prevalence of Osteoporosis and Low Bone Mass Among Puerto Rican Older Adults, Journal of Bone and Mineral Research
  9. R Rizzoli, 2014, Management of osteoporosis of the oldest old, Osteoporosis International, 25, 2507, 10.1007/s00198-014-2755-9 · DOI
  10. L Giangregorio, 2014, Too Fit To Fracture: exercise recommendations for individuals with osteoporosis or osteoporotic vertebral fracture, Osteoporosis International, 25, 821, 10.1007/s00198-013-2523-2 · DOI
  11. W Kemmler, 2015, Exercise and fractures in postmenopausal women. Final results of the controlled Erlangen Fitness and Osteoporosis Prevention Study (EFOPS), Osteoporosis international, 26, 2491, 10.1007/s00198-015-3165-3 · DOI
  12. Ž Pedišić, 2014, Measurement issues and poor adjustments for physical activity and sleep undermine sedentary behaviour research—the focus should shift to the balance between sleep, sedentary behaviour, standing and activity, Kinesiology, 46, 135
  13. V Carson, 2017, Cross-sectional associations between sleep duration, sedentary time, physical activity, and adiposity indicators among Canadian preschool-aged children using compositional analyses, BMC Public Health, 17, 848, 10.1186/s12889-017-4852-0 · DOI
  14. FJ Garcia-Garcia, 2011, The prevalence of frailty syndrome in an older population from Spain. The Toledo Study for Healthy Aging, The journal of nutrition, health & aging, 15, 852, 10.1007/s12603-011-0075-8 · DOI · Paper page
  15. L Carcaillon, 2012, Higher levels of endogenous estradiol are associated with frailty in postmenopausal women from the toledo study for healthy aging, The Journal of Clinical Endocrinology & Metabolism, 97, 2898, 10.1210/jc.2012-1271 · DOI
  16. PJ Garry, 1999, Practical and validated use of the Mini Nutritional Assessment in geriatric evaluation, Nutrition in clinical Care, 2, 146, 10.1046/j.1523-5408.1999.00108.x · DOI
  17. R Colley, 2010, Quality control and data reduction procedures for accelerometry-derived measures of physical activity, Health Reports, 21, 63
  18. N Aguilar-Farías, 2014, ActiGraph GT3X+ cut-points for identifying sedentary behaviour in older adults in free-living environments, Journal of Science and Medicine in Sport, 17, 293, 10.1016/j.jsams.2013.07.002 · DOI · Paper page
  19. A Santos-Lozano, 2013, Actigraph GT3X: validation and determination of physical activity intensity cut points, International journal of sports medicine, 34, 975, 10.1055/s-0033-1337945 · DOI · Paper page
  20. SF Chastin, 2014, Associations between objectively-measured sedentary behaviour and physical activity with bone mineral density in adults and older adults, the NHANES study, Bone, 64, 254, 10.1016/j.bone.2014.04.009 · DOI
  21. P Gerdhem, 2003, Effect of previous and present physical activity on bone mass in elderly women, Osteoporosis international, 14, 208, 10.1007/s00198-002-1362-3 · DOI
  22. SI Braun, 2017, Sedentary Behavior, Physical Activity, and Bone Health in Postmenopausal Women, Journal of aging and physical activity, 25, 173, 10.1123/japa.2016-0046 · DOI
  23. L Langsetmo, 2012, Physical activity, body mass index and bone mineral density—associations in a prospective population-based cohort of women and men: The Canadian Multicentre Osteoporosis Study (CaMos), Bone, 50, 401, 10.1016/j.bone.2011.11.009 · DOI
  24. NR Nokes, 2012, Changes in hip bone mineral density and objectively measured physical activity in middle-aged women: a 6-year prospective study, American Journal of Health Promotion, 26, 341, 10.4278/ajhp.100622-QUAN-208 · DOI
  25. A Gába, 2012, The relationship between accelerometer-determined physical activity (PA) and body composition and bone mineral density (BMD) in postmenopausal women, Archives of gerontology and geriatrics, 54, e315, 10.1016/j.archger.2012.02.001 · DOI
  26. E Füzéki, 2017, Health Benefits of Light-Intensity Physical Activity: A Systematic Review of Accelerometer Data of the National Health and Nutrition Examination Survey (NHANES), Sports Medicine, 1
  27. J Johansson, 2015, Objectively measured physical activity is associated with parameters of bone in 70-year-old men and women, Bone, 81, 72, 10.1016/j.bone.2015.07.001 · DOI · Paper page
  28. CR Ratzlaff, 2010, Lifetime trajectory of physical activity according to energy expenditure and joint force, Arthritis care & research, 62, 1452, 10.1002/acr.20243 · DOI
  29. M Martyn-St James, 2006, High-intensity resistance training and postmenopausal bone loss: a meta-analysis, Osteoporosis international, 17, 1225, 10.1007/s00198-006-0083-4 · DOI
  30. J Multanen, 2017, Effect of progressive high-impact exercise on femoral neck structural strength in postmenopausal women with mild knee osteoarthritis: a 12-month RCT, Osteoporosis international, 28, 1323, 10.1007/s00198-016-3875-1 · DOI
  31. K 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, Osteoporosis International, 28, 1001, 10.1007/s00198-016-3810-5 · DOI
  32. O Babatunde, 2012, A meta-analysis of brief high-impact exercises for enhancing bone health in premenopausal women, Osteoporosis international, 23, 109, 10.1007/s00198-011-1801-0 · DOI
  33. R Zhao, 2014, Efficiency of jumping exercise in improving bone mineral density among premenopausal women: a meta-analysis, Sports medicine, 44, 1393, 10.1007/s40279-014-0220-8 · DOI
  34. A Hartley, 2017, Sarcopenia is negatively related to high gravitational impacts achieved from day-to-day physical activity, The journals of gerontology Series A, Biological sciences and medical sciences
  35. M Martyn-St James, 2008, A meta-analysis of impact exercise on postmenopausal bone loss: the case for mixed loading exercise programmes, British journal of sports medicine
  36. LB McMillan, 2017, Prescribing Physical Activity for the Prevention and Treatment of Osteoporosis in Older Adults, Healthcare
  37. R Korpelainen, 2006, Effect of impact exercise on bone mineral density in elderly women with low BMD: a population-based randomized controlled 30-month intervention, Osteoporosis International, 17, 109, 10.1007/s00198-005-1924-2 · DOI
  38. SJ Allison, 2013, High impact exercise increased femoral neck bone mineral density in older men: a randomised unilateral intervention, Bone, 53, 321, 10.1016/j.bone.2012.12.045 · DOI
  39. B Morseth, 2011, Physical activity and bone: The importance of the various mechanical stimuli for bone mineral density, A review. Norsk epidemiologi, 20
  40. R Zhao, 2015, The effects of differing resistance training modes on the preservation of bone mineral density in postmenopausal women: a meta-analysis, Osteoporosis international, 26, 1605, 10.1007/s00198-015-3034-0 · DOI
  41. TJ Beck, 2011, Confounders in the association between exercise and femur bone in postmenopausal women, Medicine and science in sports and exercise, 43, 80, 10.1249/MSS.0b013e3181e57bab · DOI
  42. E Bassey, 1995, Weight-bearing exercise and ground reaction forces: a 12-month randomized controlled trial of effects on bone mineral density in healthy postmenopausal women, Bone, 16, 469
  43. K Hannam, 2017, 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, Osteoporosis International, 28, 2813, 10.1007/s00198-016-3863-5 · DOI · Paper page
  44. A Mañas, 2017, Role of objectively measured sedentary behaviour in physical performance, frailty and mortality among older adults: A short systematic review, European journal of sport science, 17, 940, 10.1080/17461391.2017.1327983 · DOI

Metadata

Authors
Rodríguez-Gómez, I., Mañas, A., Losa-Reyna, J., Rodríguez-Mañas, L., Chastin, S. F. M., Alegre, L. M., García-García, F. J., & Ara, I.
Venue
PLOS ONE
Published
2018-10-22
Volume
13
Issue
10
Pages
e0206013
ISSN
1932-6203
Cited by
58
References
7
Language
en
Funders
  • Biomedical Research Networking Center on Frailty and Healthy Aging (CIBERFES) and FEDER funds from the European Union ((CB16/10/00456), (CB16/10/00477))
  • Government of Castilla-La Mancha (PI2010/020)
  • Institute of Health Sciences, Ministry of Health of Castilla-La Mancha (03031-00)
  • Spanish Ministry of Economy, “Ministerio de Economía y Competitividad,” Instituto de Salud Carlos III (PI10/01532, PI031558, PI11/01068)
  • Universidad de Castilla-La Mancha “Contratos predoctorales para la formación de personal investigador en el marco del Plan Propio de I+D+i, cofinanciados por el Fondo Social Europeo” (2014/10340, 2015/4062)

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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.