Upaya Deteksi Dini Osteoarthritis pada Karyawan Universitas Tarumanagara dengan Instrumen WOMAC

Osteoarthritis (OA) is a degenerative joint disease that commonly affects individuals in their productive and elderly years, significantly impairing quality of life. Early detection is essential to prevent disability due to OA, particularly in vulnerable groups such as university employees. This community service activity involved OA screening of 26 employees at Tarumanagara University using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). In addition to screening, participants received education on risk factors and OA prevention. The screening revealed varied levels of joint pain, stiffness, and functional limitations. The average WOMAC score was 32.27 (SD 17.63), ranging from 4 to 66 points. Several participants exhibited moderate to severe symptoms, especially during activities such as climbing stairs and performing household tasks. The WOMAC instrument proved effective in detecting early functional joint complaints. The educational component played a crucial role in raising participants’ awareness of the importance of healthy lifestyles and early OA management. This initiative successfully identified OA risks among university employees and enhanced their knowledge regarding disease prevention. Early detection and education should be established as routine workplace health programs. Keywords: Early Detection, Community Service, Osteoarthritis, University Employees, WOMAC

Authors

Institutions

Publication Details

Journal
SEWAGATI Jurnal Pengabdian Masyarakat Indonesia
Published
2025-05-23
DOI
https://doi.org/10.56910/sewagati.v4i2.2212
Primary Topic
Occupational Health and Safety Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Upaya Deteksi Dini Osteoarthritis pada Karyawan Universitas Tarumanagara dengan Instrumen WOMAC

Noer Saelan Tadjudin, Tjie Haming Setiadi, Susy Olivia Lontoh, Alexander Halim Santoso
SEWAGATI Jurnal Pengabdian Masyarakat Indonesia
Occupational Health and Safety Management
article

Upaya Deteksi Dini Osteoarthritis pada Karyawan Universitas Tarumanagara dengan Instrumen WOMAC

Noer Saelan Tadjudin, Tjie Haming Setiadi, Susy Olivia Lontoh, Alexander Halim Santoso
article en

Abstract

Osteoarthritis (OA) is a degenerative joint disease that commonly affects individuals in their productive and elderly years, significantly impairing quality of life. Early detection is essential to prevent disability due to OA, particularly in vulnerable groups such as university employees. This community service activity involved OA screening of 26 employees at Tarumanagara University using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). In addition to screening, participants received education on risk factors and OA prevention. The screening revealed varied levels of joint pain, stiffness, and functional limitations. The average WOMAC score was 32.27 (SD 17.63), ranging from 4 to 66 points. Several participants exhibited moderate to severe symptoms, especially during activities such as climbing stairs and performing household tasks. The WOMAC instrument proved effective in detecting early functional joint complaints. The educational component played a crucial role in raising participants’ awareness of the importance of healthy lifestyles and early OA management. This initiative successfully identified OA risks among university employees and enhanced their knowledge regarding disease prevention. Early detection and education should be established as routine workplace health programs. Keywords: Early Detection, Community Service, Osteoarthritis, University Employees, WOMAC

SEWAGATI Jurnal Pengabdian Masyarakat IndonesiaVol. 4(2)
Tarumanagara University (ID)
Openalex Percentile: Top 82%
Occupational Health and Safety Management
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.