Associations Between Patterns of Daily Stepping Behavior, Health-Related Quality of Life, and Pain Symptoms Among Older Adults with Chronic Pain: A Secondary Analysis of Two Randomized Controlled Trials

References

• Healy GN, Dunstan DW, Salmon J, et al. Breaks in sedentary time: beneficial associations with metabolic risk. Diabetes Care. 2008;31(4):661–666. doi:10.2337/dc07-2046
   PubMed Web of Science ®Google Scholar
• Healy GN, Wijndaele K, Dunstan DW, et al. Objectively measured sedentary time, physical activity, and metabolic risk: the Australian Diabetes, Obesity and Lifestyle Study (AusDiab). Diabetes Care. 2008;31(2):369–371. doi:10.2337/dc07-1795
   PubMed Web of Science ®Google Scholar
• Dunstan DW, Dogra S, Carter SE, Owen N. Sit less and move more for cardiovascular health: emerging insights and opportunities. Nat Rev Cardiol. 2021;1–12. doi:10.1038/s41569-021-00547-y
   PubMed Web of Science ®Google Scholar
• Dunstan DW, Healy GN, Sugiyama T, Owen N. Too much sitting: the population health science of sedentary behavior. Eur Endocrinol. 2010;6(1):19–23.
   Google Scholar
• Dunstan DW, Howard B, Healy GN, Owen N. Too much sitting: a health hazard. Diabetes Res Clin Pract. 2012;97(3):368–376. doi:10.1016/j.diabres.2012.05.020
   PubMed Web of Science ®Google Scholar
• Ross R, Chaput JP, Giangregorio LM, et al. Canadian 24-Hour Movement Guidelines for Adults aged 18–64 years and Adults aged 65 years or older: an integration of physical activity, sedentary behaviour, and sleep. Appl Physiol Nutr Metab. 2020. doi:10.1139/apnm-2020-0467
   Web of Science ®Google Scholar
• Piercy KL, Troiano RP, Ballard RM, et al. The physical activity guidelines for Americans. JAMA. 2018;320(19):2020–2028. doi:10.1001/jama.2018.14854
   PubMed Web of Science ®Google Scholar
• Dzakpasu FQS, Carver A, Brakenridge CJ, et al. Musculoskeletal pain and sedentary behaviour in occupational and non-occupational settings: a systematic review with meta-analysis. Int J Behav Nutr Phys Act. 2021;18(1):1–56. doi:10.1186/S12966-021-01191-Y/FIGURES/6
   PubMed Web of Science ®Google Scholar
• Naugle KM, Ohlman T, Naugle KE, Riley ZA, Keith NCR. Physical activity behavior predicts endogenous pain modulation in older adults. Pain. 2017;158(3):383–390. doi:10.1097/J.PAIN.0000000000000769
   PubMed Web of Science ®Google Scholar
• Heneweer H, Vanhees L, Picavet HSJ. Physical activity and low back pain: a U-shaped relation? Pain. 2009;143(1–2):21–25. doi:10.1016/J.PAIN.2008.12.033
   PubMed Web of Science ®Google Scholar
• Fanning J, Brooks AK, Ip E, Nicklas BJ, Rejeski WJ. A Mobile Health Intervention to Reduce Pain and Improve Health (MORPH) in older adults with obesity: protocol for the MORPH trial. JMIR Res Protoc. 2018;7(5):e128. doi:10.2196/resprot.9712
   PubMedGoogle Scholar
• Fanning J, Brooks AK, Ip E, et al. A Mobile Health Behavior Intervention to Reduce Pain and Improve Health in Older Adults With Obesity and Chronic Pain: the MORPH pilot trial. Front Digit Health. 2020;2(598456). doi:10.3389/fdgth.2020.598456
   PubMedGoogle Scholar
• Fanning J, Brooks AK, Hsieh KL, et al. Building on lessons learned in a Mobile Intervention to Reduce Pain and Improve Health (MORPH): protocol for the MORPH-II trial. JMIR Res Protoc. 2021;10(7):e29013. doi:10.2196/29013
   PubMed Web of Science ®Google Scholar
• Fanning J, Brooks AK, Ford S, Robison JT, Irby MB, Rejeski WJ. A remote group-mediated daylong physical activity intervention for older adults with chronic pain: results of the MORPH-II randomized pilot trial. Front Digit Health. 2022;4:1040867. doi:10.3389/fdgth.2022.1040867
   PubMedGoogle Scholar
• Fanning J, Brooks AK, Robison JT, et al. Associations between patterns of physical activity, pain intensity, and interference among older adults with chronic pain: a secondary analysis of two randomized controlled trials. Front Aging. 2023;4:1216942. doi:10.3389/fragi.2023.1216942
   PubMedGoogle Scholar
• Ullah S, Finch CF. Applications of functional data analysis: a systematic review. BMC Med Res Methodol. 2013;13:43. doi:10.1186/1471-2288-13-43
   PubMed Web of Science ®Google Scholar
• Zeitzer JM, Blackwell T, Hoffman AR, et al. Daily Patterns of Accelerometer Activity Predict Changes in Sleep, Cognition, and Mortality in Older Men. J Gerontol a Biol Sci Med Sci. 2018;73(5):682–687. doi:10.1093/gerona/glw250
   PubMed Web of Science ®Google Scholar
• Melanson EL Jr, Freedson PS. Validity of the Computer Science and Applications, Inc. (CSA) activity monitor. Med Sci Sports Exerc. 1995;27(6):934–940. doi:10.1249/00005768-199506000-00021
   PubMed Web of Science ®Google Scholar
• Freedson PS, Melanson E, Sirard J. Calibration of the Computer Science and Applications, Inc. accelerometer. Med Sci Sports Exercise. 1998;30(5):777–781. doi:10.1097/00005768-199805000-00021
   PubMed Web of Science ®Google Scholar
• Fanning J, Miller ME, Chen S-H, Davids C, Kershner K, Rejeski WJ. Is Wrist Accelerometry Suitable for Threshold Scoring? A Comparison of Hip-Worn and Wrist-Worn ActiGraph Data in Low-Active Older Adults With Obesity. J Gerontol a Biol Sci Med Sci. 2022;77(12):2429–2434. doi:10.1093/GERONA/GLAB347
   PubMed Web of Science ®Google Scholar
• Hall KS, Howe CA, Rana SR, Martin CL, Morey MC. METs and accelerometry of walking in older adults: standard versus measured energy cost. Med Sci Sports Exercise. 2013;45(3):574–582. doi:10.1249/MSS.0b013e318276c73c
   PubMed Web of Science ®Google Scholar
• Medicine E. Rx for Health Series. American College of Sports Medicine; 2023. Available from: https://www.exerciseismedicine.org/eim-in-action/health-care/resources/rx-for-health-series/. Accessed March 12, 2024.
   Google Scholar
• Bien T. Mindfulness-Based Relapse Prevention for Addictive Behaviors: a Clinician’s Guide. J Psychiatr Ment Health Nurs. 2011;18(7):e19–e20. doi:10.1111/j.1365-2850.2011.01761.x
   Web of Science ®Google Scholar
• Shields M, Connor Gorber S, Janssen I, Tremblay MS. Bias in self-reported estimates of obesity in Canadian health surveys: an update on correction equations for adults. Health Rep. 2011;22(3):35–45.
   PubMed Web of Science ®Google Scholar
• Bandura A. Self-Efficacy: The Exercise of Control. W. H. Freeman and Company; 1997.
   Google Scholar
• Deci EL, Ryan RM. Self-determination theory: a macrotheory of human motivation, development, and health. Can Psycho. 2008;49:182–185.
   Web of Science ®Google Scholar
• Brawley LR, Rejeski WJ, Lutes L. A group-mediated cognitive-behavioral intervention for increasing adherence to physical activity in older adults. J Appl Biobehav Res. 2000;5(1):47–65. doi:10.1111/j.1751-9861.2000.tb00063
   Web of Science ®Google Scholar
• Brawley LR, Rejeski WJ, King AC. Promoting physical activity for older adults: the challenges for changing behavior. Am J Preventive Med. 2003;25(3 SUPPL. 2):172–183. doi:10.1016/S0749-3797(03)00182-X
   PubMed Web of Science ®Google Scholar
• Wu Y, Petterson JL, Bray NW, Kimmerly DS, O’Brien MW. Validity of the activPAL monitor to measure stepping activity and activity intensity: a systematic review. Gait Posture. 2022;97:165–173. doi:10.1016/J.GAITPOST.2022.08.002
   PubMed Web of Science ®Google Scholar
• Rosenberg D, Walker R, Greenwood-Hickman MA, et al. Device-assessed physical activity and sedentary behavior in a community-based cohort of older adults. BMC Public Health. 2020;20(1):1–13. doi:10.1186/S12889-020-09330-Z/TABLES/3
   PubMed Web of Science ®Google Scholar
• Hart TL, Swartz AM, Cashin SE, Strath SJ. How many days of monitoring predict physical activity and sedentary behaviour in older adults? Int J Behav Nutr Phys Act. 2011;8:62. doi:10.1186/1479-5868-8-62
   PubMed Web of Science ®Google Scholar
• Zeitzer JM, Blackwell T, Hoffman AR, Cummings S, Ancoli-Israel S, Stone K. Daily Patterns of Accelerometer Activity Predict Changes in Sleep, Cognition, and Mortality in Older Men. J Gerontol Ser A. 2017;73(5):682–687. doi:10.1093/gerona/glw250
   Web of Science ®Google Scholar
• PROMIS. Intro to PROMIS. HealthMeasures; 2023. Available from: https://www.healthmeasures.net/explore-measurement-systems/promis/intro-to-promis. Accessed March 12, 2024.
   Google Scholar
• RAND Corporation. 36-Item Short Form Survey (SF-36) Scoring Instructions; 2023. Available from: https://www.rand.org/health-care/surveys_tools/mos/36-item-short-form/scoring.html. Accessed March 12, 2024.
   Google Scholar
• Wyrwich KW, Tierney WM, Babu AN, Kroenke K, Wolinsky FD. A comparison of clinically important differences in health-related quality of life for patients with chronic lung disease, asthma, or heart disease. Health Serv Res. 2005;40(2):577–592. doi:10.1111/j.1475-6773.2005.0l374.x
   PubMed Web of Science ®Google Scholar
• Grupo de Aprendizaje Automatico. FPCAPlot. Available from: https://fda.readthedocs.io/en/stable/modules/exploratory/autosummary/skfda.exploratory.visualization.FPCAPlot.html. Accessed April 12, 2023.
   Google Scholar
• Madrid GdAA-UAd. scikit-fda; 2023. Available from: https://fda.readthedocs.io/en/latest/index.html. Accessed March 12, 2024.
   Google Scholar
• Tudor-Locke C, Craig CL, Aoyagi Y, et al. How many steps/day are enough? For older adults and special populations. Int J Behav Nutr Phys Act. 2011;8(1):80. doi:10.1186/1479-5868-8-80
   PubMed Web of Science ®Google Scholar
• Physical Activity Guidelines Advisory Committee. 2018 Physical Activity Guidelines Advisory Committee Scientific Report; 2018.
   Google Scholar
• Zhaoyang R, Martire LM, Darnall BD. Daily pain catastrophizing predicts less physical activity and more sedentary behavior in older adults with osteoarthritis. Pain. 2020;161(11):2603–2610. doi:10.1097/j.pain.0000000000001959
   PubMed Web of Science ®Google Scholar
• Rothman KJ. No adjustments are needed for multiple comparisons. Epidemiology. 1990;1(1):43–46. doi:10.1097/00001648-199001000-00010
   PubMedGoogle Scholar