Sung Kgun Lee
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Sung Kgun Lee has a total of 13 co-authors. Here are the top co-authors by number of shared publications:
- Chaemoon Lim
Department of Orthopedic Surgery, Jeju National University Hospital, Jeju, Korea
1 shared publication - Chul-Hoo Kang
Department of Neurology, Jeju National University Hospital, Jeju National University School of Medicine, Jeju, Korea
1 shared publication - Gil Myeong Seong
Department of Internal Medicine, Jeju National University Hospital, Jeju National University School of Medicine, Jeju, Korea
1 shared publication Hyun Jung Lee
Department of Physical Medicine and Rehabilitation, College of Medicine, Jeju National University, Jeju, Republic of Korea
1 shared publication- Hyun‐Ju Yang
Jeju national University hospital School of medicine, Jeju‐si, Korea, Republic of (South)
1 shared publication - In-Seok Son
Department of Orthopaedic Surgery, Kyung Hee University Hospital at Gangdong, College of Medicine, Kyung Hee University, Seoul 05278, Republic of Korea
1 shared publication
Latest Publications
- Open Access
- 23 February 2024
- Published by Wolters Kluwer Health in Medicine
- Vol. 103 (8) , e37043
Prevalence of shoulder pain and its correlates in Jeju agricultural population: A retrospective cross-sectional study
The aim of this study was to investigate the prevalence of shoulder pain and analyze its association with socio-demographic factors, agricultural work-related conditions, and biomechanical factors among farmers on Jeju Island. We utilized initial survey data from the Safety for Agricultural Injury of Farmers’ cohort study involving adult farmers on Jeju Island. The presence and characteristics of shoulder pain, socio-demographics, agricultural work-related conditions, and biomechanical factors were assessed using semi-structured questionnaires. A total of 1206 participants were analyzed for prevalence and associated risk factors using frequency and multivariate logistic regression analyses. The overall prevalence of shoulder pain was 17%. Multivariate logistic regression analysis, adjusted for significant socio-demographic and agricultural work-related condition variables, revealed that stress level, type of farming, and experiencing an agricultural injury within the preceding year were significantly associated with shoulder pain (stress level: “occasional,” adjusted odds ratio [aOR], 1.581; 95% confidence interval [CI], 1.079–2.318; “frequent,” aOR, 1.964; 95% CI, 1.205–3.200; and “extreme,” aOR, 2.999; 95% CI, 1.480–6.074 vs “rarely”; type of farming: “orchard,” aOR, 0.82; 95% CI, 0.597–1.124; “livestock,” aOR, 0.225; 95% CI, 0.079–0.641 vs “field”; and experienced an agricultural injury within the past year: “yes,” aOR, 2.078; 95% CI, 1.269–3.405). In addition, 3 biomechanical factors significantly contributed to shoulder pain: activities requiring significant power such as shoveling, pickaxing, and hammering; repetitive use of a particular body part; and constant elevation of the arm above the head. The findings highlight the importance of postural education, injury prevention, and psychological support in managing shoulder pain among farmers.
- 23 February 2024
- Published by Wolters Kluwer Health in Medicine
- Vol. 103 (8) , e37043
Open AccessPrevalence of shoulder pain and its correlates in Jeju agricultural population: A retrospective cross-sectional study
The aim of this study was to investigate the prevalence of shoulder pain and analyze its association with socio-demographic factors, agricultural work-related conditions, and biomechanical factors among farmers on Jeju Island. We utilized initial survey data from the Safety for Agricultural Injury of Farmers’ cohort study involving adult farmers on Jeju Island. The presence and characteristics of shoulder pain, socio-demographics, agricultural work-related conditions, and biomechanical factors were assessed using semi-structured questionnaires. A total of 1206 participants were analyzed for prevalence and associated risk factors using frequency and multivariate logistic regression analyses. The overall prevalence of shoulder pain was 17%. Multivariate logistic regression analysis, adjusted for significant socio-demographic and agricultural work-related condition variables, revealed that stress level, type of farming, and experiencing an agricultural injury within the preceding year were significantly associated with shoulder pain (stress level: “occasional,” adjusted odds ratio [aOR], 1.581; 95% confidence interval [CI], 1.079–2.318; “frequent,” aOR, 1.964; 95% CI, 1.205–3.200; and “extreme,” aOR, 2.999; 95% CI, 1.480–6.074 vs “rarely”; type of farming: “orchard,” aOR, 0.82; 95% CI, 0.597–1.124; “livestock,” aOR, 0.225; 95% CI, 0.079–0.641 vs “field”; and experienced an agricultural injury within the past year: “yes,” aOR, 2.078; 95% CI, 1.269–3.405). In addition, 3 biomechanical factors significantly contributed to shoulder pain: activities requiring significant power such as shoveling, pickaxing, and hammering; repetitive use of a particular body part; and constant elevation of the arm above the head. The findings highlight the importance of postural education, injury prevention, and psychological support in managing shoulder pain among farmers.