Shoulder Symptom Trajectories Over Four Years: Data From a Longitudinal Study on Osteoarthritis

Objective
\nLimited data exist on the natural history of shoulder symptoms. We aimed to describe longitudinal patterns of shoulder symptoms and determine risk factors for incidence and persistence.
\n
\nMethods
\nData from Osteoarthritis Initiative participants observed annually for four years were used to describe shoulder symptom (yes/no, side) incidence and prevalence using descriptive analyses. Regression analyses investigated the association among three shoulder symptoms outcomes (persistent, incident, and intermittent) and clinical factors. Latent class growth analysis (LCGA) identified trajectories in those reporting pain at one or more time point.
\n
\nResults
\nIn total, 4,796 participants (58% women, mean age 61.2 years) were included. Baseline shoulder symptom prevalence was 22%; 32% of these reported bilateral symptoms. In those reporting right symptoms, 260 of 1,886 (14%) had persistent symptoms. Those with persistent symptoms had worse baseline and four-year clinical status (poorer function, mental health, and quality of life). In regression analysis, persistent symptoms were associated with sleep disturbance (adjusted odds ratio [aOR] 1.97, 95% confidence interval [95% CI] 1.49–2.62), work absenteeism (aOR 2.16, 95% CI 1.38–2.62), lower limb weakness (aOR 1.76, 95% CI 1.37–2.27), multiple-site joint symptoms (≥3 joints excluding shoulders) (aOR 4.90, 95% CI 2.79–8.58) and White race (aOR 1.39, 95% CI 1.04–1.88). Lower limb weakness was also associated with incident symptoms; no variables were associated with intermittent symptoms. LCGA identified two trajectories: the trajectory with high probability for symptoms (9% of LCGA analysis cohort) showed similar relationships to clinical variables as in the persistent symptoms group.
\n
\nConclusion
\nIn this large, four-year study, persistent shoulder symptoms were common and associated with worse clinical outcomes. At least one risk factor for incident symptoms is modifiable.

Publication Details

Journal
White Rose Research Online (University of Leeds, The University of Sheffield, University of York)
Published
2024-10-01
Primary Topic
Theoretical and Computational Physics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Shoulder Symptom Trajectories Over Four Years: Data From a Longitudinal Study on Osteoarthritis

White Rose Research Online (University of Leeds, The University of Sheffield, University of York)
Theoretical and Computational Physics
article

Shoulder Symptom Trajectories Over Four Years: Data From a Longitudinal Study on Osteoarthritis

article en

Abstract

Objective
\nLimited data exist on the natural history of shoulder symptoms. We aimed to describe longitudinal patterns of shoulder symptoms and determine risk factors for incidence and persistence.
\n
\nMethods
\nData from Osteoarthritis Initiative participants observed annually for four years were used to describe shoulder symptom (yes/no, side) incidence and prevalence using descriptive analyses. Regression analyses investigated the association among three shoulder symptoms outcomes (persistent, incident, and intermittent) and clinical factors. Latent class growth analysis (LCGA) identified trajectories in those reporting pain at one or more time point.
\n
\nResults
\nIn total, 4,796 participants (58% women, mean age 61.2 years) were included. Baseline shoulder symptom prevalence was 22%; 32% of these reported bilateral symptoms. In those reporting right symptoms, 260 of 1,886 (14%) had persistent symptoms. Those with persistent symptoms had worse baseline and four-year clinical status (poorer function, mental health, and quality of life). In regression analysis, persistent symptoms were associated with sleep disturbance (adjusted odds ratio [aOR] 1.97, 95% confidence interval [95% CI] 1.49–2.62), work absenteeism (aOR 2.16, 95% CI 1.38–2.62), lower limb weakness (aOR 1.76, 95% CI 1.37–2.27), multiple-site joint symptoms (≥3 joints excluding shoulders) (aOR 4.90, 95% CI 2.79–8.58) and White race (aOR 1.39, 95% CI 1.04–1.88). Lower limb weakness was also associated with incident symptoms; no variables were associated with intermittent symptoms. LCGA identified two trajectories: the trajectory with high probability for symptoms (9% of LCGA analysis cohort) showed similar relationships to clinical variables as in the persistent symptoms group.
\n
\nConclusion
\nIn this large, four-year study, persistent shoulder symptoms were common and associated with worse clinical outcomes. At least one risk factor for incident symptoms is modifiable.

White Rose Research Online (University of Leeds, The University of Sheffield, University of York)
No poverty
Openalex Percentile: Top 56%
Theoretical and Computational Physics
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.

Shoulder Symptom Trajectories Over Four Years: Data From a Longitudinal Study on Osteoarthritis · White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (2024) | TGRS Research Map | TGRS