目的：瞭解社區中特定族群肩頸疼痛的盛行率，並分析發生肩頸疼痛的危險因子，以及與電子產品、智慧型手機使用之相關性。方法：以某地區醫院員工為研究對象，用問卷填答方式評估員工發生肩頸疼痛之情形及相關危險因子。問卷內容包括個人基本資料、骨骼肌肉系統症狀及工作與生活狀況（包含電子產品使用），以描述性統計及邏輯斯迴歸分析探討各個因子對肩頸疼痛發生的影響。結果：研究問卷發放計120份，結果共得97份有效問卷，參與率為80.3%，曾經發生肩頸疼痛比率約為82%，肩頸疼痛在過去一週之盛行率為63.9%。每天使用電腦超過7小時以上、使用智慧型手機大於3小時以上、睡眠時間小於5小時者有最大疼痛指數(電腦：5.06±1.93；手機：5.03±2.93；睡眠：5.80±1.81，三者p值皆小於0.05)。經邏輯斯迴歸分析後發現，在控制其它變項之下，女性、已婚、教育程度較低、每天睡眠時間小於8小時者其肩頸疼痛勝算比較高，每天使用智慧型手機小於3小時者其勝算比較低，其p值皆小於0.05。結論：肩頸疼痛的發生與女性、已婚及每週運動次數偏少相關，疼痛指數則與每天使用電腦7小時以上、使用智慧型手機3小時以上、教育程度較低、平均睡眠時間偏少有關。電子產品使用於肩頸疼痛的發生為重要危險因子，需要受到重視以提出相關預防改善策略避免傷害。其他危險因子與肩頸疼痛直接與間接的相關性，則需要更加詳盡的研究去探討。

Purpose: To understand the prevalence of neck-shoulder pain, analyze its risk factors and find out the association with electronics and smartphone usage in a local community hospital. Method: The questionnaire was surveyed to the local community hospital employees. Personal information, musculoskeletal symptoms, and life-style differences were included in the questionnaire. The descriptive statistics and logistic regression were used to analyze the association between neck-shoulder pain and each personal life-style factors. Results: There were one hundred and twenty participants in this study, and the valid questionnaires was ninety seven (80.3%). The prevalence of neck-shoulder pain was 82% of valid questionnaire, and 63.9% of them had neck-shoulder pain one week before. Those who use computers more than 7 hours, smartphone more than 3 hours, and sleep less than 5 hours every day had greatest pain severity (numeric pain score: 5.06±1.93 in computers use, 5.03±2.93 in smartphone use, 5.80±1.81 in sleep pattern, all of them p<0.05). The result of logistic regression analysis showed that people female, married, with lower educational status and less sleeping time (less than 8 hours every day) had higher risks and severity of neck-shoulder pain. Those using smartphone less than 3 hours every day had lower risks of severe neck-shoulder pain compared with longer time usage. Conclusion: People female, married, with less exercise were related to the incidence of neck-shoulder pain. In addition, longer time of computer usage (more than 7 hours every day), smartphone usage (more than 3 hours every day), lower educational status and less sleeping time were related to the severity of neck-shoulder pain. It shows that electronics usage is an important risk factors of neck-shoulder pain. The risk factors should be alerted, and adequate preventative strategies need to be adopted.