» Articles » PMID: 29712630

Efficacy of a Community-Based Technology-Enabled Physical Activity Counseling Program for People With Knee Osteoarthritis: Proof-of-Concept Study

Overview
Publisher JMIR Publications
Date 2018 May 2
PMID 29712630
Citations 32
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Current practice guidelines emphasize the use of physical activity as the first-line treatment of knee osteoarthritis; however, up to 90% of people with osteoarthritis are inactive.

Objective: We aimed to assess the efficacy of a technology-enabled counseling intervention for improving physical activity in people with either a physician-confirmed diagnosis of knee osteoarthritis or having passed two validated criteria for early osteoarthritis.

Methods: We conducted a proof-of-concept randomized controlled trial. The immediate group received a brief education session by a physical therapist, a Fitbit Flex, and four biweekly phone calls for activity counseling. The delayed group received the same intervention 2 months later. Participants were assessed at baseline (T0) and at the end of 2 months (T1), 4 months (T2), and 6 months (T3). Outcomes included (1) mean time on moderate-to-vigorous physical activity (MVPA ≥3 metabolic equivalents [METs], primary outcome), (2) mean time on MVPA ≥4 METs, (3) mean daily steps, (4) mean time on sedentary activities, (5) Knee Injury and Osteoarthritis Outcome Score (KOOS), and (6) Partners in Health scale. Mixed-effects repeated measures analysis of variance was used to assess five planned contrasts of changes in outcome measures over measurement periods. The five contrasts were (1) immediate T1-T0 vs delayed T1-T0, (2) delayed T2-T1 vs delayed T1-T0, (3) mean of contrast 1 and contrast 2, (4) immediate T1-T0 vs delayed T2-T1, and (5) mean of immediate T2-T1 and delayed T3-T2. The first three contrasts estimate the between-group effects. The latter two contrasts estimate the effect of the 2-month intervention delay on outcomes.

Results: We recruited 61 participants (immediate: n=30; delayed: n=31). Both groups were similar in age (immediate: mean 61.3, SD 9.4 years; delayed: mean 62.1, SD 8.5 years) and body mass index (immediate: mean 29.2, SD 5.5 kg/m; delayed: mean 29.2, SD 4.8 kg/m). Contrast analyses revealed significant between-group effects in MVPA ≥3 METs (contrast 1 coefficient: 26.6, 95% CI 4.0-49.1, P=.02; contrast 3 coefficient: 26.0, 95% CI 3.1-49.0, P=.03), daily steps (contrast 1 coefficient: 1699.2, 95% CI 349.0-3049.4, P=.02; contrast 2 coefficient: 1601.8, 95% CI 38.7-3164.9, P=.045; contrast 3 coefficient: 1650.5, 95% CI 332.3-2968.7; P=.02), KOOS activity of daily living subscale (contrast 1 coefficient: 6.9, 95% CI 0.1-13.7, P=.047; contrast 3 coefficient: 7.2, 95% CI 0.8-13.6, P=.03), and KOOS quality of life subscale (contrast 1 coefficient: 7.4, 95% CI 0.0-14.7, P=.049; contrast 3 coefficient: 7.3, 95% CI 0.1-14.6, P=.048). We found no significant effect in any outcome measures due to the 2-month delay of the intervention.

Conclusions: Our counseling program improved MVPA ≥3 METs, daily steps, activity of daily living, and quality of life in people with knee osteoarthritis. These findings are important because an active lifestyle is an important component of successful self-management.

Trial Registration: ClinicalTrials.gov NCT02315664; https://clinicaltrials.gov/ct2/show/NCT02315664 (Archived by WebCite at http://www.webcitation.org/6ynSgUyUC).

Citing Articles

Family-Centered Model and mHealth Through Early Intervention in Rural Populations: A Quasi-Experimental Study.

Jimenez-Arberas E, Casais-Suarez Y, Menendez-Espina S, Menendez S, Mendez A, Saborit J Children (Basel). 2025; 12(2).

PMID: 40003314 PMC: 11854671. DOI: 10.3390/children12020212.


Can Wearable Device Promote Physical Activity and Reduce Pain in People with Chronic Musculoskeletal Conditions?.

Eboreime K, Hughes J, Lee R, Luo J J Clin Med. 2025; 14(3).

PMID: 39941673 PMC: 11818778. DOI: 10.3390/jcm14031003.


Development and validation of a nomogram to predict depression in older adults with heart disease: a national survey in China.

Ding X, Shi Z, Xiang L, Liu Q, Wu L, Long Q Front Public Health. 2024; 12:1469980.

PMID: 39722705 PMC: 11668657. DOI: 10.3389/fpubh.2024.1469980.


Wearable Devices for Supporting Chronic Disease Self-Management: Scoping Review.

Gagnon M, Ouellet S, Attisso E, Supper W, Amil S, Rheaume C Interact J Med Res. 2024; 13:e55925.

PMID: 39652850 PMC: 11667132. DOI: 10.2196/55925.


Identification of Pain through Actigraphy-Recorded Patient Movement: A Comprehensive Review.

Torres-Guzman R, Ho O, Borna S, Gomez-Cabello C, Haider S, Forte A Bioengineering (Basel). 2024; 11(9).

PMID: 39329647 PMC: 11429204. DOI: 10.3390/bioengineering11090905.


References
1.
Zhang W, Moskowitz R, Nuki G, Abramson S, Altman R, Arden N . OARSI recommendations for the management of hip and knee osteoarthritis, Part II: OARSI evidence-based, expert consensus guidelines. Osteoarthritis Cartilage. 2008; 16(2):137-62. DOI: 10.1016/j.joca.2007.12.013. View

2.
. Recommendations to increase physical activity in communities. Am J Prev Med. 2002; 22(4 Suppl):67-72. DOI: 10.1016/s0749-3797(02)00433-6. View

3.
ODonoghue G, Perchoux C, Mensah K, Lakerveld J, van der Ploeg H, Bernaards C . A systematic review of correlates of sedentary behaviour in adults aged 18-65 years: a socio-ecological approach. BMC Public Health. 2016; 16:163. PMC: 4756464. DOI: 10.1186/s12889-016-2841-3. View

4.
Petkov J, Harvey P, Battersby M . The internal consistency and construct validity of the partners in health scale: validation of a patient rated chronic condition self-management measure. Qual Life Res. 2010; 19(7):1079-85. DOI: 10.1007/s11136-010-9661-1. View

5.
Hutchison A, Breckon J, Johnston L . Physical activity behavior change interventions based on the transtheoretical model: a systematic review. Health Educ Behav. 2008; 36(5):829-45. DOI: 10.1177/1090198108318491. View