Live Video Adaptations to a Mind-Body Activity Program for Chronic Pain and Cognitive Decline: Protocol for the Virtual Active Brains Study

Ryan A Mace, James D Doorley, Paula J Popok, Ana-Maria Vranceanu, Ryan A Mace, James D Doorley, Paula J Popok, Ana-Maria Vranceanu

Abstract

Background: Chronic pain (CP) and cognitive decline (CD) are costly, challenging to treat, prevalent among older adults, and worsen each other over time. We are iteratively developing Active Brains-Fitbit (AB-F), a live video program for older adults with CP and CD that teaches mind-body skills and gradual increases in step count. AB-F has demonstrated feasibility; acceptability; and signs of improvement in emotional, physical, and cognitive functions when delivered in person to older adults.

Objective: We are conducting a feasibility randomized controlled trial (RCT) of AB-F versus a time- and dose-matched educational control (health enhancement program [HEP]) in older adults with CP and CD. Here, we describe virtual adaptions to our study protocol, manualized treatments, evaluation plan, and study design in response to feedback from former participants and COVID-19. We will evaluate the feasibility benchmarks and the potential of AB-F to improve physical, emotional, and cognitive functions.

Methods: This is a single-blind pilot RCT. Participants are randomized to AB-F or HEP. Patients are recruited through pain clinic referrals, institutional registries, and flyers. Interested participants are screened for eligibility via telephone and provide electronic informed consent. After randomization, participants are mailed all study documents, including their treatment manual, an ActiGraph accelerometer, and a Fitbit (separate envelope for AB-F only). Both conditions are manualized and delivered over 8 weekly sessions via Zoom. Participants complete self-report and performance-based (6-min walk test and Montreal Cognitive Assessment) outcome measures via Zoom at baseline and post intervention. Primary outcomes are a priori set feasibility (recruitment, quantitative measures, and adherence), acceptability, credibility, expectancy, and satisfaction benchmarks. Secondary outcomes are physical, cognitive, and emotional functions as well as intervention targets (social function, pain intensity, pain-specific coping, and mindfulness).

Results: The trial is ongoing. We have recruited 21 participants (10 AB-F and 11 HEP) across 2 rounds. Only 2 participants have withdrawn (1 before baseline and 1 before the first session). All 19 remaining participants have completed the baseline assessment. In the first round, attendance is high (11 out of 12 participants completed all 4 sessions so far), and AB-F participants are adherent to their Fitbit and step goals (5 out of 6 participants).

Conclusions: Preliminary findings are promising for the feasibility of our completely virtual AB-F intervention. However, these findings need to be confirmed at the trial conclusion. This study will answer important questions about the feasibility of delivering a completely virtual mind-body activity program to older adults with comorbid CP and CD, which, to our knowledge, is unprecedented. Details on integrating multiple digital platforms for virtual assessments and intervention delivery will inform treatment development for older adults and those with comorbid CP and CD, which is crucial during the COVID-19 pandemic.

Trial registration: ClinicalTrials.gov NCT04044183; https://ichgcp.net/clinical-trials-registry/NCT04044183.

International registered report identifier (irrid): DERR1-10.2196/25351.

Keywords: aged; chronic pain; cognitive decline; mind-body therapies; mobile phone; physical activity; telemedicine.

Conflict of interest statement

Conflicts of Interest: None declared.

©Ryan A Mace, James D Doorley, Paula J Popok, Ana-Maria Vranceanu. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 04.01.2021.

Figures

Figure 1
Figure 1
Iterative stages of Active Brains-Fitbit development. The study described in this protocol is outlined in bold. The subsequent efficacy randomized controlled trial is outlined by a dashed line. CD: cognitive decline; CP: chronic pain; RCT: randomized controlled trial.
Figure 2
Figure 2
Study design and timeline. AB-F: Active Brains-Fitbit; HEP: health enhancement program; MoCA: Montreal Cognitive Assessment; RA: research assistant; and 6MWT: 6-min walk test.

References

    1. Glajchen M. Chronic pain: treatment barriers and strategies for clinical practice. J Am Board Fam Pract. 2001;14(3):211–8.
    1. Patel KV, Guralnik JM, Dansie EJ, Turk DC. Prevalence and impact of pain among older adults in the United States: findings from the 2011 national health and aging trends study. Pain. 2013 Dec;154(12):2649–57. doi: 10.1016/j.pain.2013.07.029.
    1. Won AB, Lapane KL, Vallow S, Schein J, Morris JN, Lipsitz LA. Persistent nonmalignant pain and analgesic prescribing patterns in elderly nursing home residents. J Am Geriatr Soc. 2004 Jun;52(6):867–74. doi: 10.1111/j.1532-5415.2004.52251.x.
    1. Cravello L, di Santo S, Varrassi G, Benincasa D, Marchettini P, de Tommaso M, Shofany J, Assogna F, Perotta D, Palmer K, Paladini A, di Iulio F, Caltagirone C. Chronic pain in the elderly with cognitive decline: a narrative review. Pain Ther. 2019 Jun;8(1):53–65. doi: 10.1007/s40122-019-0111-7.
    1. Nahin RL, DeKosky ST. Comorbid pain and cognitive impairment in a nationally representative adult population: prevalence and associations with health status, health care utilization, and satisfaction with care. Clin J Pain. 2020 Oct;36(10):725–39. doi: 10.1097/AJP.0000000000000863.
    1. Lautenschlager NT, Cox KL, Ellis KA. Physical activity for cognitive health: what advice can we give to older adults with subjective cognitive decline and mild cognitive impairment? Dialogues Clin Neurosci. 2019 Mar;21(1):61–8.
    1. van Kooten J, Binnekade TT, van der Wouden JC, Stek ML, Scherder EJ, Husebø BS, Smalbrugge M, Hertogh CM. A review of pain prevalence in alzheimer's, vascular, frontotemporal and lewy body dementias. Dement Geriatr Cogn Disord. 2016;41(3-4):220–32. doi: 10.1159/000444791.
    1. Eggermont LH, Leveille SG, Shi L, Kiely DK, Shmerling RH, Jones RN, Guralnik JM, Bean JF. Pain characteristics associated with the onset of disability in older adults: the maintenance of balance, independent living, intellect, and zest in the elderly boston study. J Am Geriatr Soc. 2014 Jun;62(6):1007–16. doi: 10.1111/jgs.12848.
    1. Zis P, Daskalaki A, Bountouni I, Sykioti P, Varrassi G, Paladini A. Depression and chronic pain in the elderly: links and management challenges. Clin Interv Aging. 2017;12:709–20. doi: 10.2147/CIA.S113576. doi: 10.2147/CIA.S113576.
    1. Ma L. Depression, anxiety, and apathy in mild cognitive impairment: current perspectives. Front Aging Neurosci. 2020;12:9. doi: 10.3389/fnagi.2020.00009. doi: 10.3389/fnagi.2020.00009.
    1. Gagliese L, Gauthier LR, Narain N, Freedman T. Pain, aging and dementia: towards a biopsychosocial model. Prog Neuropsychopharmacol Biol Psychiatry. 2018 Dec 20;87(Pt B):207–15. doi: 10.1016/j.pnpbp.2017.09.022.
    1. Wideman TH, Asmundson GG, Smeets RJ, Zautra AJ, Simmonds MJ, Sullivan MJ, Haythornthwaite JA, Edwards RR. Rethinking the fear avoidance model: toward a multidimensional framework of pain-related disability. Pain. 2013 Nov;154(11):2262–5. doi: 10.1016/j.pain.2013.06.005.
    1. Mace R, Gates M, Bullard B, Lester E, Silverman I, Quiroz Y, Vranceanu AM. Development of a novel mind-body activity and pain management program for older adults with cognitive decline. Gerontologist. 2020 Jun 30;:-. doi: 10.1093/geront/gnaa084. epub ahead of print.
    1. Raina P, Santaguida P, Ismaila A, Patterson C, Cowan D, Levine M, Booker L, Oremus M. Effectiveness of cholinesterase inhibitors and memantine for treating dementia: evidence review for a clinical practice guideline. Ann Intern Med. 2008 Mar 4;148(5):379–97. doi: 10.7326/0003-4819-148-5-200803040-00009.
    1. Cooper C, Li R, Lyketsos C, Livingston G. Treatment for mild cognitive impairment: systematic review. Br J Psychiatry. 2013 Sep;203(3):255–64. doi: 10.1192/bjp.bp.113.127811.
    1. Shorr RI, Griffin MR, Daugherty JR, Ray WA. Opioid analgesics and the risk of hip fracture in the elderly: codeine and propoxyphene. J Gerontol. 1992 Jul;47(4):M111–5. doi: 10.1093/geronj/47.4.m111.
    1. Wright R, Roumani Y, Boudreau R, Newman A, Ruby C, Studenski S, Shorr R, Bauer D, Simonsick E, Hilmer S, Hanlon J, Health‚ AgingBody Composition Study Effect of central nervous system medication use on decline in cognition in community-dwelling older adults: findings from the health, aging and body composition study. J Am Geriatr Soc. 2009 Feb;57(2):243–50. doi: 10.1111/j.1532-5415.2008.02127.x.
    1. Wetherell JL, Afari N, Rutledge T, Sorrell JT, Stoddard JA, Petkus AJ, Solomon BC, Lehman DH, Liu L, Lang AJ, Atkinson JH. A randomized, controlled trial of acceptance and commitment therapy and cognitive-behavioral therapy for chronic pain. Pain. 2011 Sep;152(9):2098–107. doi: 10.1016/j.pain.2011.05.016.
    1. Farhang M, Miranda-Castillo C, Rubio M, Furtado G. Impact of mind-body interventions in older adults with mild cognitive impairment: a systematic review. Int Psychogeriatr. 2019 May;31(5):643–66. doi: 10.1017/S1041610218002302.
    1. Goyal M, Singh S, Sibinga EM, Gould NF, Rowland-Seymour A, Sharma R, Berger Z, Sleicher D, Maron DD, Shihab HM, Ranasinghe PD, Linn S, Saha S, Bass EB, Haythornthwaite JA. Meditation programs for psychological stress and well-being: a systematic review and meta-analysis. JAMA Intern Med. 2014 Mar;174(3):357–68. doi: 10.1001/jamainternmed.2013.13018.
    1. O'Connor SR, Tully MA, Ryan B, Bleakley CM, Baxter GD, Bradley JM, McDonough SM. Walking exercise for chronic musculoskeletal pain: systematic review and meta-analysis. Arch Phys Med Rehabil. 2015 Apr;96(4):724–34.e3. doi: 10.1016/j.apmr.2014.12.003.
    1. Terrier P, Praz C, le Carré J, Vuistiner P, Léger B, Luthi F. Influencing walking behavior can increase the physical activity of patients with chronic pain hospitalized for multidisciplinary rehabilitation: an observational study. BMC Musculoskelet Disord. 2019 May 4;20(1):188. doi: 10.1186/s12891-019-2561-9.
    1. Onken LS, Carroll KM, Shoham V, Cuthbert BN, Riddle M. Reenvisioning clinical science: unifying the discipline to improve the public health. Clin Psychol Sci. 2014 Jan 1;2(1):22–34. doi: 10.1177/2167702613497932.
    1. Fitbit Internet. Fitbit. 2019. [2020-10-30]. .
    1. Martínez-Alcalá CI, Rosales-Lagarde A, de los Alonso-Lavernia M, Ramírez-Salvador JA, Jiménez-Rodríguez B, Cepeda-Rebollar RM, López-Noguerola JS, Bautista-Díaz ML, Agis-Juárez RA. Digital inclusion in older adults: a comparison between face-to-face and blended digital literacy workshops. Front ICT. 2018 Aug 28;5 doi: 10.3389/fict.2018.00021.
    1. Patel MS, Asch DA, Volpp KG. Wearable devices as facilitators, not drivers, of health behavior change. J Am Med Assoc. 2015 Feb 3;313(5):459–60. doi: 10.1001/jama.2014.14781.
    1. Mahaffey BL, Mackin DM, Vranceanu AM, Lofaro L, Bromet EJ, Luft BJ, Gonzalez A. The stony brook health enhancement program: the development of an active control condition for mind-body interventions. J Health Psychol. 2020;25(13-14):2129–40. doi: 10.1177/1359105318787024.
    1. CDC COVID-19 Response Team Severe outcomes among patients with coronavirus disease 2019 (COVID-19) - United States, February 12-March 16, 2020. MMWR Morb Mortal Wkly Rep. 2020 Mar 27;69(12):343–6. doi: 10.15585/mmwr.mm6912e2. doi: 10.15585/mmwr.mm6912e2.
    1. Mace R, Gates M, Popok P, Kulich R, Quiroz Y, Vranceanu AM. Feasibility trial of a mind-body activity pain management program for older adults with cognitive decline. Gerontologist. 2020 Nov 7; doi: 10.1093/geront/gnaa179. epub ahead of print.
    1. Becker WC, Dorflinger L, Edmond SN, Islam L, Heapy AA, Fraenkel L. Barriers and facilitators to use of non-pharmacological treatments in chronic pain. BMC Fam Pract. 2017 Mar 20;18(1):41. doi: 10.1186/s12875-017-0608-2.
    1. Rosenberg L, Kottorp A, Winblad B, Nygård L. Perceived difficulty in everyday technology use among older adults with or without cognitive deficits. Scand J Occup Ther. 2009;16(4):216–26. doi: 10.3109/11038120802684299.
    1. Telehealth Use Among Older Adults Before and During COVID-19. National Poll on Healthy Aging. 2020. Aug, [2020-12-04]. .
    1. Vranceanu AM, Riklin E, Merker VL, Macklin EA, Park ER, Plotkin SR. Mind-body therapy via videoconferencing in patients with neurofibromatosis: an RCT. Neurology. 2016 Aug 23;87(8):806–14. doi: 10.1212/WNL.0000000000003005.
    1. Vranceanu AM, Merker VL, Plotkin SR, Park ER. The relaxation response resiliency program (3RP) in patients with neurofibromatosis 1, neurofibromatosis 2, and schwannomatosis: results from a pilot study. J Neurooncol. 2014 Oct;120(1):103–9. doi: 10.1007/s11060-014-1522-2.
    1. Greenberg J, Lin A, Zale EL, Kulich RJ, James P, Millstein RA, Shapiro H, Schatman ME, Edwards RR, Vranceanu AM. Development and early feasibility testing of a mind-body physical activity program for patients with heterogeneous chronic pain; the getactive study. J Pain Res. 2019;12:3279–97. doi: 10.2147/JPR.S222448. doi: 10.2147/JPR.S222448.
    1. International Association for the Study of Pain . In: Classification of Chronic Pain: Descriptions of Chronic Pain Syndromes and Definitions of Pain Terms. Merskey H, Bogduk N, editors. Washington, DC, USA: IASP Press; 1994.
    1. Adams R. Revised physical activity readiness questionnaire. Can Fam Physician. 1999 Apr;45:992, 995, 1004–5.
    1. Salvi D, Poffley E, Orchard E, Tarassenko L. The mobile-based 6-minute walk test: usability study and algorithm development and validation. JMIR Mhealth Uhealth. 2020 Jan 3;8(1):e13756. doi: 10.2196/13756.
    1. Vranceanu AM, Zale E, Funes C, Macklin E, McCurley J, Park E, Jordan J, Lin A, Plotkin S. Mind-body treatment for international english-speaking adults with neurofibromatosis via live videoconferencing: protocol for a single-blind randomized controlled trial. JMIR Res Protoc. 2018 Oct 23;7(10):e11008. doi: 10.2196/11008.
    1. Reichman M, Riklin E, Macklin E, Vranceanu AM. Virtual mind-body treatment for adolescents with neurofibromatosis: study protocol for a single-blind randomized controlled trial. Contemp Clin Trials. 2020 Aug;95:106078. doi: 10.1016/j.cct.2020.106078.
    1. Kelly SL, Steinberg EA, Suplee A, Upshaw NC, Campbell KR, Thomas JF, Buchanan CL. Implementing a home-based telehealth group adherence intervention with adolescent transplant recipients. Telemed J E Health. 2019 Nov;25(11):1040–8. doi: 10.1089/tmj.2018.0164.
    1. Chadi N, Weisbaum E, Vo DX, Kohut SA. Mindfulness-based interventions for adolescents: time to consider telehealth. J Altern Complement Med. 2020 Mar;26(3):172–5. doi: 10.1089/acm.2019.0302.
    1. Nasreddine ZS, Phillips NA, Bédirian V, Charbonneau S, Whitehead V, Collin I, Cummings JL, Chertkow H. The montreal cognitive assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005 Apr;53(4):695–9. doi: 10.1111/j.1532-5415.2005.53221.x.
    1. Haederle M. Technology Fear Stops Older Adults From Logging On. AARP Bulletin. 2011. [2020-10-29]. .
    1. Czaja S, Sharit J. Designing Training and Instructional Programs for Older Adults. Boca Raton, Florida: CRC Press; 2012. pp. 978–1.
    1. Hoogendam Y, van der Lijn F, Vernooij M, Hofman A, Niessen W, van der Lugt A, Ikram M, van der Geest JN. Older age relates to worsening of fine motor skills: a population-based study of middle-aged and elderly persons. Front Aging Neurosci. 2014;6:259. doi: 10.3389/fnagi.2014.00259. doi: 10.3389/fnagi.2014.00259.
    1. Andersen GJ. Aging and vision: changes in function and performance from optics to perception. Wiley Interdiscip Rev Cogn Sci. 2012 May;3(3):403–10. doi: 10.1002/wcs.1167.
    1. Barnard Y, Bradley MD, Hodgson F, Lloyd AD. Learning to use new technologies by older adults: perceived difficulties, experimentation behaviour and usability. Comput Hum Behav. 2013 Jul;29(4):1715–24. doi: 10.1016/j.chb.2013.02.006.
    1. Chaffin AJ, Harlow SD. Cognitive learning applied to older adult learners and technology. Educ Gerontol. 2005 Apr 20;31(4):301–29. doi: 10.1080/03601270590916803.
    1. Merriam S, Caffarella R, Baumgartner L. Learning in Adulthood: A Comprehensive Guide, 3rd Edition. New Jersey, United States: John Wiley & Sons; 2012. Mar,
    1. Tsai HS, Shillair R, Cotten SR. Social support and 'Playing around': an examination of how older adults acquire digital literacy with tablet computers. J Appl Gerontol. 2017 Jan;36(1):29–55. doi: 10.1177/0733464815609440.
    1. Pierre-Louis C, Heinhuis T, Riklin E, Vranceanu AM. Challenges associated with parenting youth with neurofibromatosis: a qualitative investigation. Am J Med Genet A. 2018 Apr;176(4):959–68. doi: 10.1002/ajmg.a.38640.
    1. Vranceanu AM, Bannon S, Mace R, Lester E, Meyers E, Gates M, Popok P, Lin A, Salgueiro D, Tehan T, Macklin E, Rosand J. Feasibility and efficacy of a resiliency intervention for the prevention of chronic emotional distress among survivor-caregiver dyads admitted to the neuroscience intensive care unit: a randomized clinical trial. JAMA Netw Open. 2020 Oct 1;3(10):e2020807. doi: 10.1001/jamanetworkopen.2020.20807.
    1. GT3X. ActiGraph. [2020-10-28].
    1. ActiLife Powerful Data Analysis Platform. ActiGraph. [2020-10-29].
    1. Burchartz A, Manz K, Anedda B, Niessner C, Oriwol D, Schmidt SC, Woll A. Measurement of physical activity and sedentary behavior by accelerometry among a nationwide sample from the KiGGS and MoMo study: study protocol. JMIR Res Protoc. 2020 Jul 14;9(7):e14370. doi: 10.2196/14370.
    1. Enright PL. The six-minute walk test. Respir Care. 2003 Aug;48(8):783–5.
    1. Hantke NC, Gould C. Examining older adult cognitive status in the time of COVID-19. J Am Geriatr Soc. 2020 Jul;68(7):1387–9. doi: 10.1111/jgs.16514.
    1. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)-a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009 Apr;42(2):377–81. doi: 10.1016/j.jbi.2008.08.010.
    1. Bellg AJ, Borrelli B, Resnick B, Hecht J, Minicucci DS, Ory M, Ogedegbe G, Orwig D, Ernst D, Czajkowski S, Treatment Fidelity Workgroup of the NIH Behavior Change Consortium Enhancing treatment fidelity in health behavior change studies: best practices and recommendations from the NIH behavior change consortium. Health Psychol. 2004 Sep;23(5):443–51. doi: 10.1037/0278-6133.23.5.443.
    1. Greenberg J, Popok PJ, Lin A, Kulich RJ, James P, Macklin EA, Millstein RA, Edwards RR, Vranceanu AM. A mind-body physical activity program for chronic pain with or without a digital monitoring device: proof-of-concept feasibility randomized controlled trial. JMIR Form Res. 2020 Jun 8;4(6):e18703. doi: 10.2196/18703.
    1. Devilly GJ, Borkovec TD. Psychometric properties of the credibility/expectancy questionnaire. J Behav Ther Exp Psychiatry. 2000 Jun;31(2):73–86. doi: 10.1016/s0005-7916(00)00012-4.
    1. Attkisson C. The Client Satisfaction Questionnaire (CSQ) Scales. Meas Clin Pract Sourceb. 1996 doi: 10.1037/t02616-000. epub ahead of print .
    1. Czajkowski SM, Powell LH, Adler N, Naar-King S, Reynolds KD, Hunter CM, Laraia B, Olster DH, Perna FM, Peterson JC, Epel E, Boyington JE, Charlson ME. From ideas to efficacy: The ORBIT model for developing behavioral treatments for chronic diseases. Health Psychol. 2015 Oct;34(10):971–82. doi: 10.1037/hea0000161.
    1. Rounsaville B, Carroll K. A stage model of behavioral therapies research: getting startedmoving on from stage I. Clin Psychol. 2001;8(2):10. doi: 10.1093/clipsy.8.2.133.
    1. Gewandter JS, Dworkin RH, Turk DC, Devine EG, Hewitt D, Jensen MP, Katz NP, Kirkwood AA, Malamut R, Markman JD, Vrijens B, Burke L, Campbell JN, Carr DB, Conaghan PG, Cowan P, Doyle MK, Edwards RR, Evans SR, Farrar JT, Freeman R, Gilron I, Juge D, Kerns RD, Kopecky EA, McDermott MP, Niebler G, Patel KV, Rauck R, Rice AS, Rowbotham M, Sessler NE, Simon LS, Singla N, Skljarevski V, Tockarshewsky T, Vanhove GF, Wasan AD, Witter J. Improving study conduct and data quality in clinical trials of chronic pain treatments: IMMPACT recommendations. J Pain. 2020;21(9-10):931–42. doi: 10.1016/j.jpain.2019.12.003.
    1. Farrar JT, Young JP, la Moreaux L, Werth JL, Poole RM. Clinical importance of changes in chronic pain intensity measured on an 11-point numerical pain rating scale. Pain. 2001 Nov;94(2):149–58. doi: 10.1016/s0304-3959(01)00349-9.
    1. Ustün TB, Chatterji S, Kostanjsek N, Rehm J, Kennedy C, Epping-Jordan J, Saxena S, von Korff M, Pull C, WHO/NIH Joint Project Developing the world health organization disability assessment schedule 2.0. Bull World Health Organ. 2010 Nov 1;88(11):815–23. doi: 10.2471/BLT.09.067231.
    1. Stone AA, Broderick JE, Junghaenel DU, Schneider S, Schwartz JE. PROMIS fatigue, pain intensity, pain interference, pain behavior, physical function, depression, anxiety, and anger scales demonstrate ecological validity. J Clin Epidemiol. 2016 Jun;74:194–206. doi: 10.1016/j.jclinepi.2015.08.029.
    1. Godin G, Shephard R. A simple method to assess exercise behavior in the community. Can J Appl Sport Sci. 1985 Sep;10(3):141–6.
    1. Farias ST, Mungas D, Harvey DJ, Simmons A, Reed BR, Decarli C. The measurement of everyday cognition: development and validation of a short form of the everyday cognition scales. Alzheimers Dement. 2011 Nov;7(6):593–601. doi: 10.1016/j.jalz.2011.02.007.
    1. Pilkonis PA, Choi SW, Reise SP, Stover AM, Riley WT, Cella D, PROMIS Cooperative Group Item banks for measuring emotional distress from the patient-reported outcomes measurement information system (PROMIS®): depression, anxiety, and anger. Assessment. 2011 Sep;18(3):263–83. doi: 10.1177/1073191111411667.
    1. Hahn EA, de Walt DA, Bode RK, Garcia SF, de Vellis RF, Correia H, Cella D, PROMIS Cooperative Group New English and Spanish social health measures will facilitate evaluating health determinants. Health Psychol. 2014 May;33(5):490–9. doi: 10.1037/hea0000055.
    1. Russell D, Peplau LA, Ferguson ML. Developing a measure of loneliness. J Pers Assess. 1978 Jun;42(3):290–4. doi: 10.1207/s15327752jpa4203_11.
    1. Sullivan MJL, Bishop SR, Pivik J. The pain catastrophizing scale: development and validation. Psychol Assess. 1995;7(4):524–32. doi: 10.1037/1040-3590.7.4.524.
    1. Nicholas MK. The pain self-efficacy questionnaire: taking pain into account. Eur J Pain. 2007 Feb;11(2):153–63. doi: 10.1016/j.ejpain.2005.12.008.
    1. Carver C. Measure of Current Status (MOCS) Whitaker Instiutute. 2006. [2020-12-03]. .
    1. Feldman G, Hayes A, Kumar S, Greeson J, Laurenceau J. Mindfulness and emotion regulation: the development and initial validation of the cognitive and affective mindfulness scale-revised (CAMS-R) J Psychopathol Behav Assess. 2006 Nov 7;29(3):177–90. doi: 10.1007/s10862-006-9035-8.
    1. Mccullough ME, Emmons RA, Tsang J. The grateful disposition: a conceptual and empirical topography. J Pers Soc Psychol. 2002 Jan;82(1):112–27. doi: 10.1037//0022-3514.82.1.112.
    1. Raes F, Pommier E, Neff KD, Van Gucht D. Construction and factorial validation of a short form of the self-compassion scale. Clin Psychol Psychother. 2011;18(3):250–5. doi: 10.1002/cpp.702.
    1. Monticone M, Ambrosini E, Rocca B, Foti C, Ferrante S. Responsiveness and minimal clinically important changes for the Tampa Scale of Kinesiophobia after lumbar fusion during cognitive behavioral rehabilitation. Eur J Phys Rehabil Med. 2017 Jun;53(3):351–8. doi: 10.23736/S1973-9087.16.04362-8.
    1. Fish RA, McGuire B, Hogan M, Morrison TG, Stewart I. Validation of the chronic pain acceptance questionnaire (CPAQ) in an internet sample and development and preliminary validation of the CPAQ-8. Pain. 2010 Jun;149(3):435–43. doi: 10.1016/j.pain.2009.12.016.
    1. Jacobs C, Vranceanu AM. Development of a Mind Body Program to Reduce Knee Pain in Obese Osteoarthritis Patients with Comorbid Depression. Grantome. [2020-12-04]. .
    1. Rubin H, Rubin I. Qualitative Interviewing (2nd ed.): The Art of Hearing Data Internet. California, United States: SAGE Publications, Inc; 2005.
    1. Shaha M, Wenzel J, Hill EE. Planning and conducting focus group research with nurses. Nurse Res. 2011;18(2):77–87. doi: 10.7748/nr2011.01.18.2.77.c8286.
    1. Leon AC, Davis LL, Kraemer HC. The role and interpretation of pilot studies in clinical research. J Psychiatr Res. 2011 May;45(5):626–9. doi: 10.1016/j.jpsychires.2010.10.008.
    1. Lancaster GA, Dodd S, Williamson PR. Design and analysis of pilot studies: recommendations for good practice. J Eval Clin Pract. 2004 May;10(2):307–12. doi: 10.1111/j..2002.384.doc.x.
    1. Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol. 2006 Jan;3(2):77–101. doi: 10.1191/1478088706qp063oa.
    1. Gale NK, Heath G, Cameron E, Rashid S, Redwood S. Using the framework method for the analysis of qualitative data in multi-disciplinary health research. BMC Med Res Methodol. 2013 Sep 18;13:117. doi: 10.1186/1471-2288-13-117.
    1. O'Cathain A, Murphy E, Nicholl J. Three techniques for integrating data in mixed methods studies. Br Med J. 2010 Sep 17;341:c4587. doi: 10.1136/bmj.c4587.
    1. Broady T, Chan A, Caputi P. Comparison of older and younger adults attitudes towards and abilities with computers: implications for training and learning. Br J Educ Technol. 2010 May;41(3):473–85. doi: 10.1111/j.1467-8535.2008.00914.x.
    1. Building a Better Tracker: Older Consumers Weigh in on Activity and Sleep Monitoring Devices Internet. AARP Project Catalyst. 2014. [2020-11-01]. .
    1. Tedesco S, Barton J, O'Flynn B. A review of activity trackers for senior citizens: research perspectives, commercial landscape and the role of the insurance industry. Sensors (Basel) 2017 Jun 3;17(6) doi: 10.3390/s17061277.
    1. Trzepacz PT, Hochstetler H, Wang S, Walker B, Saykin AJ, Alzheimer’s Disease Neuroimaging Initiative Relationship between the montreal cognitive assessment and mini-mental state examination for assessment of mild cognitive impairment in older adults. BMC Geriatr. 2015 Sep 7;15:107. doi: 10.1186/s12877-015-0103-3.
    1. Pfeiffer E. A short portable mental status questionnaire for the assessment of organic brain deficit in elderly patients. J Am Geriatr Soc. 1975 Oct;23(10):433–41. doi: 10.1111/j.1532-5415.1975.tb00927.x.

Source: PubMed

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