目的：提高門診糖尿病患者自我保健意識。方法：通過門診保健教育方式對門診糖尿病患者進行心理療法、飲食療法、運動療法、藥物療法方面的指導。結果：通過健康教育，患者將有一個較好的心態很好地配合醫生積極治療。結論：門診護理對提高糖尿病患者的自覺意識的作用是不可忽視的。
目的：調查了解成都市建筑工地工作的流動人口工人的生殖健康現狀，為項目的干預打下基礎。方法：采用定量調查和定性研究相結合的方法獲取相關數據和信息。結果和結論：流動人口中的建筑工人的確是一個獲取生殖健康知識和服務方面十分脆弱的人群：1)流動人群中的建筑工人們的健康狀況不容樂觀。他們大都看似健康，但健康知識貧乏、不重視自身生殖健康、尋求健康服務的行為單一且不安全；2)建筑公司和工地基本不允許女工在工期懷孕；除特殊工種外，工人沒有體檢；一般只給工人買工傷險，但沒有醫療保險；3)流動人群中的建筑工人們對性與生殖健康方面的需求是迫切的。但他們求醫難，尋求性與生殖健康服務更難。
With the continuous development of new drugs and immunotherapy, the survival period of patient with multiple myeloma (MM) is continuously prolonged, and the disease is becoming chronic. Due to the involvement of multiple systems and numerous complications, the daily nursing for MM faces significant challenges. The doctor-nurse-patient integration model and the whole life cycle health management model for daily nursing of MM are expected to reduce the social burden related to diseases, improve patients’ quality of life, and reduce medical costs. This article provides a review on three aspects of MM doctor-nurse-patient integration, whole life cycle health management, and daily health management involving multiple systems.
Cardiovascular diseases and psychological disorders represent two major threats to human physical and mental health. Research on electrocardiogram (ECG) signals offers valuable opportunities to address these issues. However, existing methods are constrained by limitations in understanding ECG features and transferring knowledge across tasks. To address these challenges, this study developed a multi-resolution feature encoding network based on residual networks, which effectively extracted local morphological features and global rhythm features of ECG signals, thereby enhancing feature representation. Furthermore, a model compression-based continual learning method was proposed, enabling the structured transfer of knowledge from simpler tasks to more complex ones, resulting in improved performance in downstream tasks. The multi-resolution learning model demonstrated superior or comparable performance to state-of-the-art algorithms across five datasets, including tasks such as ECG QRS complex detection, arrhythmia classification, and emotion classification. The continual learning method achieved significant improvements over conventional training approaches in cross-domain, cross-task, and incremental data scenarios. These results highlight the potential of the proposed method for effective cross-task knowledge transfer in ECG analysis and offer a new perspective for multi-task learning using ECG signals.
目的:了解汶川大地震自然災難對幸存者心理健康狀況的影響。方法:在地震發生后1月內采用SCL-90對地震災區幸存者進行心理健康狀況評估。結果:SCL-90各因子分中,軀體化、抑郁、焦慮及敵對因子災區幸存者均高于常模,其余各因子災區幸存者均低于常模;男性、女性之間和不同文化程度之間比較, SCL-90總均分及各因子分差異均無統計學意義(P均gt;0.05);不同居住地之間比較,軀體化、恐怖和偏執因子差異有統計學意義。 其中,軀體化癥狀中,居住農村者均分最高(2.06±1.23),其次為山區幸存者(1.75±0.47),城市幸存者最輕(1.63±0.51)(P= 0.042),而在恐怖、偏執因子分中,居住山區者最高(1.36±0.68;1.59±0.79),其次為農村(1.15±0.39;1.34±0.45),城市最低(1.07±0.30;1.25±0.35)(P均= 0.015)。結論:特大地震自然災難給幸存者造成的心理創傷很普遍,需要對幸存者進行及時的心理危機干預,政府衛生部門在制定救援政策時有必要納入心理危機干預計劃。