인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
Objective: The aim of this study is to evaluate fatigue severity and analyze contributing factors, including demographic characteristics, job conditions, environmental factors, and musculoskeletal pain among courier delivery workers.
Background: Rapid growth in e-commerce has increased workload and fatigue among courier delivery workers, heightening musculoskeletal risks. Comprehensive studies incorporating various factors influencing fatigue are lacking.
Method: A questionnaire survey was conducted with 20 courier workers in Seoul, collecting demographic data, job and environmental characteristics, musculoskeletal pain, and fatigue severity. Statistical analyses, including independent sample t-test, analysis of variance, correlation and stepwise multiple linear regression, were performed.
Results: Lower back and wrist/hand were the highest reported musculoskeletal pain. Fatigue severity was positively correlated with daily handled package count and daily temperature range. Lower extremity pain (ankle/foot, knee, hip/thigh) significantly affected fatigue severity. The regression model identified shoulder, hip/thigh, and ankle/foot pain as significant predictors, explaining 47.2% of fatigue variance.
Conclusion: Fatigue severity in delivery workers is significantly influenced by workload, temperature fluctuations, and lower extremity musculoskeletal pain. It is important to consider ergonomic interventions to reduce workload, particularly those that reduce lower extremity strain.
Application: The findings offer practical guidelines for managing workload and ergonomic improvements to reduce fatigue among courier workers.
Background: Rapid growth in e-commerce has increased workload and fatigue among courier delivery workers, heightening musculoskeletal risks. Comprehensive studies incorporating various factors influencing fatigue are lacking.
Method: A questionnaire survey was conducted with 20 courier workers in Seoul, collecting demographic data, job and environmental characteristics, musculoskeletal pain, and fatigue severity. Statistical analyses, including independent sample t-test, analysis of variance, correlation and stepwise multiple linear regression, were performed.
Results: Lower back and wrist/hand were the highest reported musculoskeletal pain. Fatigue severity was positively correlated with daily handled package count and daily temperature range. Lower extremity pain (ankle/foot, knee, hip/thigh) significantly affected fatigue severity. The regression model identified shoulder, hip/thigh, and ankle/foot pain as significant predictors, explaining 47.2% of fatigue variance.
Conclusion: Fatigue severity in delivery workers is significantly influenced by workload, temperature fluctuations, and lower extremity musculoskeletal pain. It is important to consider ergonomic interventions to reduce workload, particularly those that reduce lower extremity strain.
Application: The findings offer practical guidelines for managing workload and ergonomic improvements to reduce fatigue among courier workers.
본문·목차
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