Activity pacing in daily life: A within-day analysis
Open accessAbstract
Activity pacing is a widely used self-management strategy, but we lack a clear understanding of its nature and usefulness. One source of confusion is a lack of clarity about the use of pacing in everyday life (ie, naturalistic pacing) in people not trained on how to pace activities. It is unknown whether people engage in more pacing when pain is high (pain-contingent) or when fatigue is high (fatigue-contingent). Conversely, it is not known whether naturalistic pacing results in reduced symptoms. We conducted a multilevel daily process study in which participants with osteoarthritis (N=162) reported pain and fatigue severity and frequency of pacing behaviors 5times per day over 5days. We hypothesized that increased pain and fatigue would predict increased pacing and that pacing would have a short-term benefit in terms of decreased pain and fatigue. Multilevel modeling results showed that, as expected, both momentary pain and fatigue were positively associated with subsequent pacing behaviors. Contrary to our hypothesis, increased pacing was associated with higher subsequent levels of pain and fatigue. Naturalistic pacing seems symptom-contingent and not reinforced by symptom reduction. Naturalistic pacing may be distinct from trained or programmatic pacing in terms of outcomes, and further research into naturalistic pacing may provide an important foundation for how best to deliver activity pacing interventions.
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Different fatigue patterns by age may be due to increased use of planning and activity pacing in older individuals, to account for greater fatigability.
“Different fatigue patterns by age may be due to increased use of planning and activity pacing70 in older individuals, to account for greater fatigability71.”
From Ecological momentary assessment of pain, fatigue, depressive, and cognitive symptoms reveals significant daily variability in multiple sclerosis (2017) · cites this paper as [71]
The Results (Primary Analyses; page not provided) associate older age with more pacing behavior in adults with osteoarthritis, although the age association was marginal in the fatigue model (p = .06). The paper does not establish increased use of planning or show that pacing explains age-related fatigue patterns. (LLM, conf=0.84)
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Validity of four pain intensity rating scales
Ferreira-Valente, M. A., Pais-Ribeiro, J. L., & Jensen, M. P. (2011) · Pain · doi:10.1016/j.pain.2011.07.005 · Cited by 1,872 · see citing works
Six-item screener to identify cognitive impairment among potential subjects for clinical research
Callahan, C. M., Unverzagt, F. W., Hui, S. L., Perkins, A. J., & Hendrie, H. C. (2002) · Medical Care · doi:10.1097/00005650-200209000-00007 · Cited by 1,499 · cited 1× · see citing works
“Participants also needed to have adequate cognitive ability (scoring >5 on the 6-item screener to identify cognitive impairment) [8]; be able to enter ratings on the Actiwatch-Score accelerometer used in the study; and have a consistent, typical sleep schedule (with usual wake-up time before 11 am and bedtime before 2…”
MethodMcCracken, L. M. (2013) · The Journal of Pain · doi:10.1016/j.jpain.2013.02.009 · Cited by 172 · see citing works
The impact of momentary pain and fatigue on physical activity in women with osteoarthritis
Murphy, S. L., Smith, D. M., Clauw, D. J., & Alexander, N. B. (2008) · Arthritis Care & Research · doi:10.1002/art.23710 · Cited by 134 · see citing works
Self-citationKindermans, H. P. J., Roelofs, J., Goossens, M. E. J. B., Huijnen, I. P. J., Verbunt, J. A., & Vlaeyen, J. W. S. (2011) · The Journal of Pain · doi:10.1016/j.jpain.2011.04.009 · Cited by 124 · see citing works
Nielson, W. R., Jensen, M. P., & Hill, M. L. (2001) · Pain · doi:10.1016/s0304-3959(00)00351-1 · Cited by 107 · see citing works
Flagged first, then by citations
Research works printed but not linked: 32
- [2]Altman R Alarcón G Appelrouth D Bloch D Borenstein D Brandt K Brown C Cooke TD Daniel W Feldman D Greenwald R Hochberg M Howell D Ike R Kapila P Kaplan D Koopman W Marino C McDonald E McShane DJ Medsger T Michel B Murphy WA Osial T Ramsey-Goldman R Rothschild B Wolfe F The American college of rheumatology Criteria for the classification of osteoarthritis of the hip Arthritis Rheum 1991 34 505 514 2025304
- [3]Altman R Asch E Bloch D Bole G Borenstein D Brandt K Christy W Cooke TD Greenwald R Hochberg M Development of criteria for the classification and reporting of osteoarthritis. Classification of osteoarthritis of the knee. Diagnostic and Therapeutic Criteria Committee of the American Rheumatism Association Arthritis Rheum 1986 29 1039 1049 3741515
- [4]Andresen EM Malmgren JA Carter WB Patrick DL Screening for depression in well older adults: Evaluation of a short form of the CES-D (Center for Epidemiologic Studies Depression Scale) Am J Prev Med 1994 10 77 84 8037935
- [5]Bellamy N Buchanan W Goldsmith C Campbell J Stitt L Validation study WOMAC: a health status instrument for measuring clinically-important patient-relevant outcomes following total hip or knee arthroplasy in osteoarthritis J Orthop Rheumatol 1988 15 95 108 3068365
- [7]Butland RJ Pang J Gross ER Woodcock AA Geddes DM Two-, six-, and 12-minute walking tests in respiratory disease Br Med J (Clin Res Ed) 1982 284 1607 1608 PMC1498516 6805625
- [9]Carver CS White TL Behavioral inhibition, behavioral activation, and affective responses to impending reward and punishment: the BIS/BAS Scales Journal of Personality and Social Psychology 1994 67 319 333
- [11]Dahl J Luciano C Wilson K Acceptance and commitment therapy for chronic pain 2005 Oakland, CA Context Press
- [12]Enders C Tofighi D Centering predictor variables in cross-sectional multilevel models: a new look at an old issue Psychol Methods 2007 12 121 138 17563168
- [14]Fordyce W Behavioral Methods for Chronic Pain and Illness 1976 St. Louis Mosby
- [15]Gatzounis R Schrooten MGS Crombez G Vlaeyen JWS Operant learning theory in pain and chronic pain rehabilitation Curr Pain Headache Rep 2012 16 117 126 22261987
- [16]Gill J Brown C A structured review of the evidence for pacing as a chronic pain intervention Eur J Pain 2009 13 214 216 18448368
- [17]Goggins J Baker K Felson D What WOMAC pain score should make a patient eligible for a trial in knee osteoarthritis? J Rheumatol 2005 32 540 542 15742450
- [18]Hart T Swartz A Cashin S Strath S How many days of monitoring predict physical activity and sedentary behaviour in older adults? International Journal of Behavioral Nutrition and Physical Activity 2011 8 62 21679426 PMC3130631
- [19]Huber P The behavior of the maximum likelihood estimates under nonstandard conditions, Proceedings of the fifth Berkeley symposium on mathematical statistics and probability 1967 1 University of California Press 221 233
- [20]Jensen MP Turner JA Romano JM Karoly P Coping with chronic pain: a critical review of the literature Pain 1991 47 249 283 1784498
- [21]Jensen MP Turner JA Romano JM Strom SE The Chronic Pain Coping Inventory: development and preliminary validation Pain 1995 60 203 216 7784106
- [22]Karsdorp P Vlaeyen JWS Active avoidance but not activity pacing is associated with disability in fibromyalgia Pain 2009 147 29 35 19716234
- [25]McCracken LM Samuel VM The role of avoidance, pacing, and other activity patterns in chronic pain Pain 2007 130 119 125 17240065
- [26]Mendoza TR Wang XS Cleeland CS Morrissey M Johnson BA Wendt JK Huber SL The rapid assessment of fatigue severity in cancer patients: use of the Brief Fatigue Inventory Cancer 1999 85 1186 1196 10091805
- [27]Murphy SL Alexander NB Levoska M Smith DM Relationship between fatigue and subsequent physical activity among older adults with symptomatic osteoarthritis Arthritis Care Res 2013 65 1617 1624 PMC3787954 23592576
- [28]Murphy SL Clauw DJ Activity pacing: what are we measuring and how does it relate to treatment? Pain 2010 149 582 583 20381246
- [29]Murphy SL Kratz AL Williams DA Geisser ME The association between symptoms, pain coping strategies, and physical activity among people with symptomatic knee and hip osteoarthritis Frontiers in Psychology 2012 3 326 22969747 PMC3432514
- [30]Murphy SL Smith DM Alexander NB Measuring activity pacing in women with lower-extremity osteoarthritis: a pilot study Am J Occup Ther 2008 62 329 334 18557009 PMC3039298
- [33]Nielson WR Jensen MP Relationship between changes in coping and treatment outcome in patients with fibromyalgia syndrome Pain 2004 109 233 241 15157683
- [34]Nielson WR Jensen MP Karsdorp PA Vlaeyen JWS Activity pacing in chronic pain: Concepts, evidence, and future directions Clin J Pain 2013 29 461 468 23247005
- [35]Nielson WR Jensen MP Karsdorp PA Vlaeyen JWS A content analysis of activity pacing in chronic pain: What are we measuring and why? Clin J Pain 2014 30 7 639 645 24042344
- [39]Shuman-Paretsky MJ Belser-Ehrlich J Holtzer R Psychometric properties of the brief fatigue inventory in community-dwelling older adults Arch Phys Med Rehabil 2014 95 1533 1539 24742938 PMC4124821
- [41]Singer JD Willett JB Applied longitudinal data analysis: modeling change and event occurrence 2003 New York, NY Oxford University Press
- [42]Trost SG McIver KL Pate RR Conducting accelerometer-based activity assessments in field-based research Med Sci Sports Exerc 2005 37 11 Suppl S531 S543 16294116
- [43]Vlaeyen JWS Morley S Active despite pain: the putative role of stop-rules and current mood Pain 2004 110 512 516 15288391
- [46]Whitehouse SLCR Learmonth ID Validation for the reduced Western Ontario and McMaster Universities Osteoarthritis Index function scale J Orthop Surg 2008 16 50 54 18453660
- [47]Wolfe F Hawley DJ Wilson K The prevalence and meaning of fatigue in rheumatic disease J Rheumatol 1996 23 1407 1417 8856621
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Devan, H., Farmery, D., Peebles, L., & Grainger, R. (2019) · JMIR mHealth and uHealth · doi:10.2196/13080 · Cited by 115 · see citing works
Kratz, A. L., Murphy, S. L., & Braley, T. J. (2017) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2017.07.002 · Cited by 109 · see citing works
Self-citation
- Authors
- Murphy, S. L., & Kratz, A. L.
- Affiliations
- University of Michigan (US)
- Corresponding author
- Murphy, Susan Lynn
- Venue
- Pain
- Published
- 2014-12
- Volume
- 155
- Issue
- 12
- Pages
- 2630-2637
- ISSN
- 0304-3959 (ISSN-L)
- PMC
- PMC4353388
- OpenAlex
- W2054696006
- Cited by
- 44
- References
- 6
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 4 · 2023: 3 · 2021: 4 · 2020: 10 · 2019: 3 · 2018: 5 · 2017: 5 · 2016: 4 · 2015: 4
- FWCI
- 3.16
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Pain (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Rehabilitation and Research Branch of the Veterans Affairs Office of Research Development (1I01RX000410)
- Topics
- Health Sciences › Medicine › Pharmacology › Musculoskeletal pain and rehabilitation
- Health Sciences › Health Professions › Occupational Therapy › Occupational Therapy Practice and Research
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Keywords
- activity pacing, osteoarthritis, fatigue, self-management, within-day variation, symptom relief
- MeSH terms
- Activities of Daily Living, Aged, Fatigue, Female, Humans, Male, Middle Aged, Motor Activity, Osteoarthritis, Pain, Psychiatric Status Rating Scales, Self Care, Self Report
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