Physical Function and Pain as Predictors of Movement Behaviors in Adults With Arthritis

PurposeTo investigate how physical function performance and arthritis-related pain relate to sensor assessed movement behaviors in a diverse sample of inactive adults with various forms of arthritis.DesignCross-sectional study.SettingColumbia, SC.SubjectsAdults with arthritis (n = 267; 60.0% Black, 92.0% female, 64.1 ± 9.4 years) from a telephone-based walking intervention.MeasuresMovement behaviors (moderate to vigorous intensity physical activity, MVPA; sedentary time) were assessed with ActiGraph accelerometers at baseline. Physical function was assessed through the six-minute walk test (6MWT) and the 30-second chair stand test (30CST). Arthritis-related pain was measured through a visual analog scale.AnalysisMultiple linear regression was used to examine the extent to which physical function performance and pain predicted movement behaviors while adjusting for sociodemographic and health characteristics.ResultsBetter 6MWT performance was positively associated with more MVPA per week (<i>P</i> < 0.001). Worse performance in the 6MWT (<i>P</i> < 0.001) and less pain (<i>P</i> = 0.02) were associated with more daily time spent sedentary. Performance in the 30CST was not significantly associated with either movement behavior.ConclusionThese findings emphasize the importance of functional endurance and pain management in promoting physical activity and sedentary behavior among inactive adults with arthritis. Future public health interventions should prioritize strategies to enhance these components to effectively promote physical activity and less sedentary time.

Authors

Institutions

Publication Details

Journal
American Journal of Health Promotion
Published
2025-09-04
DOI
https://doi.org/10.1177/08901171251375974
Primary Topic
Physical Activity and Health
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Physical Function and Pain as Predictors of Movement Behaviors in Adults With Arthritis

Chih‐Hsiang Yang, Christine A. Pellegrini, Yesil Kim, Sara Wilcox et al.
American Journal of Health Promotion
Physical Activity and Health
article

Physical Function and Pain as Predictors of Movement Behaviors in Adults With Arthritis

Chih‐Hsiang Yang, Christine A. Pellegrini, Yesil Kim, Sara Wilcox, Scott Jamieson
article en

Abstract

PurposeTo investigate how physical function performance and arthritis-related pain relate to sensor assessed movement behaviors in a diverse sample of inactive adults with various forms of arthritis.DesignCross-sectional study.SettingColumbia, SC.SubjectsAdults with arthritis (n = 267; 60.0% Black, 92.0% female, 64.1 ± 9.4 years) from a telephone-based walking intervention.MeasuresMovement behaviors (moderate to vigorous intensity physical activity, MVPA; sedentary time) were assessed with ActiGraph accelerometers at baseline. Physical function was assessed through the six-minute walk test (6MWT) and the 30-second chair stand test (30CST). Arthritis-related pain was measured through a visual analog scale.AnalysisMultiple linear regression was used to examine the extent to which physical function performance and pain predicted movement behaviors while adjusting for sociodemographic and health characteristics.ResultsBetter 6MWT performance was positively associated with more MVPA per week (<i>P</i> < 0.001). Worse performance in the 6MWT (<i>P</i> < 0.001) and less pain (<i>P</i> = 0.02) were associated with more daily time spent sedentary. Performance in the 30CST was not significantly associated with either movement behavior.ConclusionThese findings emphasize the importance of functional endurance and pain management in promoting physical activity and sedentary behavior among inactive adults with arthritis. Future public health interventions should prioritize strategies to enhance these components to effectively promote physical activity and less sedentary time.

American Journal of Health PromotionVol. 40(3)
University of South Carolina (US)
Centers for Disease Control and Prevention
Openalex Percentile: Top 70%
Physical Activity and Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.