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A Survey on the Mental Health Status of Social Workers Under Long-term Stress of COVID-19 and the Exploration of Associated Factors: A Case Study of Chaoyang District, Beijing
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摘要:目的
了解COVID-19疫情防控常态化期间, 社工焦虑、抑郁、睡眠障碍发生情况并分析其影响因素。
方法采用分层整群抽样法, 于2021年11月—2022年3月期间选取北京市朝阳区酒仙桥、望京、太阳宫、十八里店、孙河5个街道的全部社工为研究对象(社工组), 并以该5个街道对应社区医院且具有相同年龄范围的在职一线医护人员(医护组)、社区居民(居民组)为对照人群。社工组、医护组、居民组比例为1∶1∶1。采用问卷星平台, 向社工、医护人员、社区居民微信群发放电子问卷展开调查。比较3组焦虑、抑郁、睡眠障碍筛查阳性率, 并采用多因素Logistic回归和决策树分析社工焦虑、抑郁、睡眠障碍的影响因素。
结果共回收问卷954份, 其中62份不合格予以剔除, 最终纳入892份(93.5%)有效问卷进行数据分析。其中社工组372份(41.7%), 医护组262份(29.4%), 居民组258份(28.9%)。社工组焦虑、抑郁、睡眠障碍筛查阳性率分别为15.3%、22.0%、48.1%, 较医护组(7.6%、10.3%、30.5%)和居民组(7.0%、8.5%、29.5%)明显升高(P均＜0.001)。多因素Logistic回归显示, 家庭负担(OR=1.80, 95% CI: 1.09~2.96)、中文版压力知觉量表(Chinese perceived stress scale, CPSS)评分(OR=1.34, 95% CI: 1.24~1.45)是社工焦虑的独立影响因素, CPSS评分(OR=1.29, 95% CI: 1.20~1.39)、社会支持评定量表(social support rating scale, SSRS)评分(OR=0.96, 95% CI: 0.92~1.00)是社工抑郁的独立影响因素, 有精神疾病家族史(OR=4.91, 95% CI: 1.27~18.94)、CPSS评分(OR=1.20, 95% CI: 1.14~1.27)、SSRS评分(OR=0.95, 95% CI: 0.91~0.98)是社工睡眠障碍的独立影响因素。决策树分析结果与多因素Logistic回归分析结果基本一致, 家庭负担、CPSS评分、SSRS评分是影响社工心理健康的重要变量, 其中CPSS评分与社工焦虑、抑郁、睡眠障碍均呈强关联。
结论在COVID-19疫情防控常态化时期, 相较于医护人员和社区居民, 社工表现出更高水平的心理健康问题。压力知觉、社会支持为社工心理健康的重要影响因素, 尤其以压力知觉的影响为著。
Abstract:ObjectiveTo study the prevalence of depression, anxiety, and insomnia among social workers during the prolonged battle against the COVID-19 pandemic and explore the associated risk factors.
MethodsUsing a stratified cluster sampling method, we selected all social workers in the five streets of Chaoyang District, Beijing(Jiuxianqiao, Wangjing, Taiyanggong, Shibalidian, Sunhe) from November 2021 to March 2022 as the study population(social worker group), and the frontline medical staffs(medical professional group) of the same age range of the corresponding community hospitals of the same five streets, and the community residents(resident group) as the control population. The ratio of the social worker group, medical professional group, and resident group was 1∶1∶1. The Sojump platform was used to send electronic questionnaires to the wechat groups of social workers, healthcare workers, and community residents to carry out the survey. The screen positive rates for anxiety, depression, and sleep disorders were compared among the 3 groups. Multifactorial Logistic regression and decision tree were used to analyze the influencing factors of anxiety, depression, and sleep disorders among social workers.
ResultsA total of 954 questionnaires were collected, of which 62 were disqualified and excluded. Finally, 892 valid questionnaires(93.5%) were included for data analysis. Among them, there were 372 questionnaires(41.7%) from the social worker group, 262(29.4%) from the medical professional group, and 258(28.9%) from the resident group. The prevalences of anxiety, depression, and sleep disorders among social workers group were found to be 15.3%, 22.0%, and 48.1%, respectively, which were significantly higher than those in the medical professional group(7.6%, 10.3%, and 30.5%) and the resident group(7.0%, 8.5%, and 29.5%), all P < 0.001. Multiple Logistic regression showed that family burden(OR=1.80, 95% CI: 1.09-2.96) and Chinese perceived stress scale(CPSS) score(OR=1.34, 95% CI: 1.24-1.45) were independent influencing factors for anxiety among social workers; CPSS score(OR=1.29, 95% CI: 1.20-1.39) and social support rating scale(SSRS) score(OR=0.96, 95% CI: 0.92-1.00) were independent influencing factors for depression among social workers; family history of mental illness(OR=4.91, 95% CI: 1.27-18.94), CPSS score(OR=1.20, 95% CI: 1.14-1.27), and SSRS score(OR=0.95, 95% CI: 0.91-0.98) were independent influencing factors for sleep disorders among social workers. The results of decision tree analysis were consistent with those of multiple Logistic regression analysis. Family burden, CPSS score, and SSRS score were important variables affecting the mental health of social workers, among which CPSS score was strongly associated with anxiety, depression, and sleep disorders among social workers.
ConclusionsSocial workers exhibited significant levels of anxiety, depression, and sleep disorders during the long-term pandemic prevention, with CPSS being the most significant influencing factor.
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Keywords:
- COVID-19 /
- social-workers /
- anxiety /
- depression /
- sleep disorders
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研讨式(Seminar)教学法是将“以教师为中心”的传统教学模式转变为“以学生为中心”的新型教学模式，能够充分调动学生的主动性和积极性，加深其对课程内容的理解、培养科研思维及能力，以实现“教”与“学”的双重获益。随着我国医学教育体制改革的发展，以Seminar为代表的教学与科研相结合的模式成为目前主要教学模式[1-4]。然而，Seminar教学法存在流于形式(如变相的问答式教学)、难以保证学生的参与度等不足[5]。案例教学法(case-based learning，CBL)则以典型案例为载体提出问题，引导学生主动学习，加深对基本原理和概念的理解，已广泛应用于医药领域教学实践中[6-9]。然而，典型案例的选取、案例的深度剖析及引导等降低了CBL的实施效果[5]。Seminar教学法与CBL教学法相结合，可提升学生的理论和实践能力，拓展其科研视野, 促进学生按照“理论学习—案例分析—实践思考—知识巩固”这一模式实现专业知识的融会贯通。
新时代背景下的课程思政是积极贯彻习近平总书记在全国教育大会上的重要讲话精神、落实“立德树人”根本任务的重要方式。在临床药理学课程中融入课程思政教学能够培养学生的责任心和高尚医德。目前，抗肿瘤药物的临床药理课程教学中存在学生肿瘤药理专业基础知识薄弱、传统讲授方法导致“教”与“学”分离、教材内容陈旧且滞后、学生积极性不高等问题。因此，本文以部分课程教学为例，探讨“Seminar-CBL-课程思政”创新模式在临床药理学教学实践中的作用，以期激发学生的学习兴趣，培养学生正确的世界观、人生观、价值观，实现“教”与“学”双重目标，为优化临床药理学教育提供借鉴。
1. “Seminar-CBL-课程思政”教学模式
以我国自主研发的创新性抗肿瘤分子靶向药物埃克替尼的临床药动学研究为例，指导学生结合“临床药动学”授课内容及各自研究方向进行自我学习，加深对理论知识点的认识和理解，具体教学步骤如下。
1.1 融合理论知识、结合典型案例开展“Seminar-CBL”教学
教师在提高自身专业素养的同时应转变思维，提倡“以学生为主”的教学模式。首先由授课教师进行基础知识讲解，再由小组代表进行专题汇报讲解，内容包括埃克替尼的药理作用及相关机制，文献的目的、方法、结果、结论等，并就典型案例进行交流，阐述文献思路、指出文献中存在的局限性、提出改进方案、开展自我学习或小组学习。最后，由授课教师对本次研讨中的案例进行指导和纠偏、梳理教材中“临床药动学”相关内容。
1.2 挖掘课程思政要素
在上述“Seminar-CBL”教学基础上，结合我国医药技术的快速发展进程，介绍我国近代自主研发的抗肿瘤分子靶向创新药物埃克替尼，增强学生的民族自豪感和爱国情怀。以埃克替尼的吸收、分布、代谢和排泄存在个体差异，需制订个体化的治疗方案为例，阐述唯物辩证法的观点，在矛盾普遍性原理指导下具体分析矛盾特殊性的唯物主义思想，引导学生树立科学的世界观，强化对祖国医药事业快速发展的人文情怀。在埃克替尼药理作用机制方面，通过讲授开展临床药理学研究中涉及的动物伦理及医学伦理，传递“防病治病、救死扶伤、保护人民健康”的医德医风；通过讲授埃克替尼临床试验中发生的不良事件和及时处置，传递医生、护士、药师、技师等不同科室和专业人员的通力协作精神。
1.3 建立“Seminar-CBL-课程思政”创新模式教学案例库
结合课程特色编写体现临床药理学逻辑特点及课程思政要求的教材，初步建立临床药理学创新授课模式的教学案例库，并成立教学督导组，以创新模式的融入程度、教学方法和思想引导等作为教师教学考核的重要指标。此外，将教学过程中如何体现以下课程思政要素作为重要的考核指标之一，包括但不限于：“诚信守法”的职业规范、“救死扶伤，医者仁心”的医德医风、“科学严谨”的敬业精神、“不惧艰难，勇攀高峰”的创新精神、“大公无私，人民至上”的爱国情怀、“以人为本”的价值体现(人文关怀、用药安全、精准用药)等。
2. 教学效果评价与反馈
2022—2023学年第一学期接受《临床药理学》课程教学的首都医科大学“5+3”一体化2019级共47名学生接受“Seminar-CBL-课程思政”创新模式教学，随机分为5个研讨小组，每组约10名学生。组内成员根据学习成绩及服务意识自荐或推选一名组长，由组长进行任务分工，选择埃克替尼临床药理学研究中的典型案例完成课件制作及主题发言稿。组内成员按照本次研讨的准备程度、语言表达能力、逻辑思维能力及应变能力，选择其中1人作为代表进行汇报展示，全体组员筹划研讨小论文初稿。
教师通过考察学生在检索文献及观点提炼、现场演讲及回答问题、与其他学生交流探讨等方面的能力评价“Seminar-CBL-课程思政”创新模式的教学效果。具体评价方式包括教师评分、学生互评，评审专家现场评价等。具体考核指标主要包括论文讲解的正确性、现场幻灯片制作质量、论文逻辑思路、内容凝练程度、回答问题的贴切度等，最终按照得分高低排名，遴选出综合成绩前三名的研讨小组。同时，教师也可邀请高年资教授担任点评人对案例分析及讨论内容进行提问、补充及学术述评，以考核学生对理论知识的熟悉程度。最后，由教师进行全面总结，提出需要改进的环节。
3. 讨论
“Seminar-CBL- 课程思政”创新模式不仅解决了Seminar模式程序化和学生发言不积极的瓶颈问题，且通过典型案例讲解改进了教师主导的填鸭式教学模式，有助于学生对专业知识的整合和理解，营造多学科交叉的学术交流氛围，激发学生的创新思维，从而提高教学质量。此外，该模式倡导一种平等的互学助学关系，教师和学生是整个课程的“双中心”；同时，这一综合教学模式可实现学生“理论—实践—理论”的环路反馈，即把理论应用于案例实践，再通过案例实践发现理论的适应性和局限性，提升学生对理论的再认识，有助于学生对课堂知识的消化吸收。本研究中，通过小组成员集体查阅文献、梳理文献思路、制作幻灯片并现场汇报等形式进行教学，不仅创新授课形式，让学生亲身参与，且在教学过程中进一步升华了爱国主义教育等思政要素。
目前该模式仍存在一定的局限性：(1)教师方面：课前需精心准备课程内容和推荐授课典型案例、需具备一定专业素养和优秀的主持控场能力、易与课程思政要素(仁爱精神、医德医风等)脱节。(2)学生方面：需遵守研讨规则(如Seminar中不同部分的演讲时间、回答问题的逻辑性和严谨性)，主动参与度要求较高，需做好充分的准备并尝试回答专业问题，积极投入自学互学，共同提高研讨会的质量。(3)其他方面：要求师生课上课下保持互动交流、教学设施设置合理(需设置“回”字型座椅便于师生面对面交流探讨)。
本文初步探讨了“Seminar-CBL-课程思政”创新教学模式在提升学生主动学习积极性、提高学生检索文献并汇报展示的能力、凝练“教”与“学”中的课程思政要素(如仁爱精神、创新精神及职业精神等)等方面的关键作用，助力学生对临床药理学知识的融会贯通，未来仍需进一步获取和分析具体评价指标以明确这一创新模式对于提升学生理论及实践能力的重要价值。
作者贡献：张函负责研究设计、论文撰写；马万欣、刘宏新、孟凡锐、张丹萍、刘春宇负责多中心数据收集；高媛主要承担数据分析；邢颖、刘璐负责指导论文修订。利益冲突：所有作者均声明不存在利益冲突 -
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图 1 社工精神心理状态的决策树模型
A.焦虑；B.抑郁；C.睡眠障碍
Figure 1. Decision tree model for the mental health status of social workers
A.anxiety; B.depression; C.sleep disorders
表 1 3组人口学信息与心理健康水平比较
Table 1 Demographic information and mental health comparisons between 3 groups
指标 社工组(n=372) 医护组(n=262) 居民组(n=258) P值 性别[n(%)] ＜0.001 男 102(27.4)* 52(19.8)* 102(39.5) 女 270(72.6) 210(80.2) 156(60.5) 年龄[M(P25, P75)，岁] 38.5(33, 43)* 37.5(31, 44.3)* 39(33, 46) 0.032 焦虑[n(%)] 57(15.3)#* 20(7.6) 18(7.0) ＜0.001 抑郁[n(%)] 82(22.0)#* 27(10.3) 22(8.5) ＜0.001 睡眠障碍[n(%)] 179(48.1)#* 80(30.5) 76(29.5) ＜0.001 与医护组比较，# P＜0.05；与居民组比较，* P＜0.05 
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表 2 社工组有/无焦虑、抑郁、睡眠障碍人群临床资料比较
Table 2 Clinical data comparisons on among social worker groups with and without anxiety, depression and sleep disorders
指标 焦虑(n=57) 无焦虑(n=315) P值 抑郁(n=82) 无抑郁(n=290) P值 睡眠障碍(n=179) 无睡眠障碍(n=193) P值 性别[n(%)] 0.158 0.481 0.362 男 20(35.1) 82(26.0) 25(30.5) 77(26.0) 53(29.6) 49(25.4) 女 37(64.9) 233(74.0) 57(69.5) 213(73.4) 126(70.4) 144(74.6) 年龄[M(P25, P75)，岁] 38(34，43) 39(33，44) 0.746 37(32.8, 42.5) 39(34，44) 0.037 38(33，43) 39(34，43.5) 0.633 独居[n(%)] 2(3.5) 10(3.2) 0.895 3(3.7) 9(3.1) 0.802 7(3.9) 5(2.6) 0.472 文化程度[n(%)] 0.175 0.231 0.897 高中及以下 1(1.8) 22(7.0) 2(2.4) 21(7.2) 10(5.6) 13(6.7) 大专及本科 56(98.2) 287(91.1) 78(95.1) 265(91.4) 166(92.7) 177(91.7) 研究生及以上 0(0) 6(1.9) 2(2.4) 4(1.4) 3(1.7) 3(1.6) 工作年限[n(%)] 0.656 0.831 0.291 ＜5年 24(42.1) 136(43.2) 37(45.1) 123(42.4) 72(40.2) 88(45.6) 5~10年 23(40.4) 110(34.9) 27(32.9) 106(36.6) 63(35.2) 70(36.3) ＞10年 10(17.5) 69(21.9) 18(22.0) 61(21.0) 44(24.6) 35(18.1) CPSS评分[M(P25, P75)，分] 33(29，37) 25(20，28) ＜0.001 32(29，37) 24(20，28) ＜0.001 29(27，32) 22(17.5，26) ＜0.001 CD-RISC评分[M(P25, P75)，分] 43(36，55) 62(50，74) ＜0.001 47(37，56) 64(50，75) ＜0.001 50(42，62) 67(56，81) ＜0.001 SSRS评分[M(P25, P75)，分] 34(30，40) 42(36，47) ＜0.001 34(29，40) 42(37，47) ＜0.001 37(31，42) 45(39，49) ＜0.001 工作负担[n(%)] 0.014 0.017 ＜0.001 轻度 0(0) 10(3.2) 1(1.2) 9(3.1) 3(1.7) 7(3.6) 中度 19(33.3) 158(50.2) 29(35.4) 148(51.0) 67(37.4) 110(57.0) 重度 38(66.7) 147(46.7) 52(63.4) 133(45.9) 109(60.9) 76(39.4) 经济负担[n(%)] ＜0.001 ＜0.001 ＜0.001 轻度 2(3.5) 84(26.7) 7(8.5) 79(27.2) 21(11.7) 65(33.7) 中度 20(35.1) 142(45.1) 28(34.1) 134(46.2) 79(44.1) 83(43.0) 重度 35(61.4) 89(28.3) 47(57.3) 77(26.6) 79(44.1) 45(23.3) 家庭负担[n(%)] ＜0.001 0.001 0.001 轻度 13(22.8) 163(51.7) 26(31.7) 150(51.7) 67(37.4) 109(56.5) 中度 30(52.6) 118(37.5) 38(46.3) 110(37.9) 81(45.3) 67(34.7) 重度 14(24.6) 34(10.8) 18(22.0) 30(10.3) 31(17.3) 17(8.8) 共患慢性疾病[n(%)] 30(52.6) 104(33.0) 0.005 42(51.2) 92(31.7) 0.001 82(45.8) 52(26.9) ＜0.001 有精神疾病家族史[n(%)] 11(19.3) 16(5.1) ＜0.001 14(17.1) 13(4.5) ＜0.001 23(12.8) 4(2.1) ＜0.001 CPSS(Chinese perceived stress scale)：中文版压力知觉量表；CD-RISC(Connor-Davidson resilience scale)：心理弹性量表；SSRS(social support rating scale)：社会支持评定量表
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表 3 社工焦虑、抑郁、睡眠障碍影响因素的多因素Logistic回归分析结果
Table 3 Influencing factors in multifactor Logistic regression analysis on anxiety, depression, and sleep disorders among social workers
指标 β SE Wald χ2 OR(95% CI) P值 焦虑 常量 -11.31 1.38 67.28 - ＜0.001 家庭负担 0.59 0.26 5.30 1.80(1.09~2.96) 0.021 CPSS评分 0.29 0.04 50.24 1.34(1.24~1.45) ＜0.001 抑郁 常量 -7.87 1.53 26.37 - ＜0.001 CPSS评分 0.26 0.04 44.47 1.29(1.20~1.39) ＜0.001 SSRS评分 -0.04 0.02 4.81 0.96(0.92~1.00) 0.028 睡眠障碍 常量 -4.44 1.26 12.51 - ＜0.001 有精神疾病家族史 1.59 0.69 5.34 4.91(1.27~18.94) 0.021 CPSS评分 0.18 0.03 41.50 1.20(1.14~1.27) ＜0.001 SSRS评分 -0.06 0.02 10.31 0.95(0.91~0.98) 0.001 -：不适用；CPSS、SSRS：同表 2
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[1] Hossain M M, Tasnim S, Sultana A, et al. Epidemiology of mental health problems in COVID-19: a review[J]. F1000Res, 2020, 9: 636. DOI: 10.12688/f1000research.24457.1
[2] Lu W, Wang H, Lin Y X, et al. Psychological status of medical workforce during the COVID-19 pandemic: a cross-sectional study[J]. Psychiatry Res, 2020, 288: 112936. DOI: 10.1016/j.psychres.2020.112936
[3] Lai J B, Ma S M, Wang Y, et al. Factors associated with mental health outcomes among health care workers exposed to coronavirus disease 2019[J]. JAMA Netw Open, 2020, 3(3): e203976. DOI: 10.1001/jamanetworkopen.2020.3976
[4] Lewinson T D, Washington T R, Allen S E, et al. "We're kind of on the back burner": Psychological distress and coping among medical social workers during the COVID-19 pandemic[J]. Soc Work Health Care, 2023, 62(6/7): 243-262.
[5] Latimer A, Fantus S, Pachner T M, et al. Palliative and hospice social workers' moral distress during the COVID-19 pandemic[J]. Palliat Support Care, 2023, 21(4): 628-633. DOI: 10.1017/S1478951522001341
[6] Pollock A, Campbell P, Cheyne J, et al. Interventions to support the resilience and mental health of frontline health and social care professionals during and after a disease outbreak, epidemic or pandemic: a mixed methods systematic review[J]. Cochrane Database Syst Rev, 2020, 11(11): CD013779.
[7] 鞠玉朦, 王汨, 廖梅, 等. 新型冠状病毒肺炎疫情社区防控工作者抑郁焦虑状态及相关因素分析[J]. 中华精神科杂志, 2020, 53(4): 275-281. Ju Y M, Wang M, Liao M, et al. Depression, anxiety and relevant factors in community workers fighting against COVID-19[J]. Chin J Psychiatry, 2020, 53(4): 275-281.
[8] 王康, 王子杰. 新冠疫情期间社会工作者抗逆力现状调查及影响因素研究[J]. 江苏卫生事业管理, 2022, 33(2): 235-237. https://www.cnki.com.cn/Article/CJFDTOTAL-JWSG202202028.htm Wang K, Wang Z J. Investigation on the current situation and influencing factors of resilience on social workers during COVID-19[J]. Jiangsu Healthc Adm, 2022, 33(2): 235-237. https://www.cnki.com.cn/Article/CJFDTOTAL-JWSG202202028.htm
[9] 武雅学, 魏悦, 庞军, 等. 新冠肺炎疫情封控社区服务1年后社会工作者职业倦怠的影响因素[J]. 中国民康医学, 2022, 34(12): 1-4. https://www.cnki.com.cn/Article/CJFDTOTAL-ZMYX202212001.htm Wu Y X, Wei Y, Pang J, et al. Influencing factors of job burnout of social workers after serving COVID-19 lockdown communities for 1 year[J]. Med J Chin Peoples Health, 2022, 34(12): 1-4. https://www.cnki.com.cn/Article/CJFDTOTAL-ZMYX202212001.htm
[10] 李青, 许丽英, 王云, 等. 疫情防控背景下社会工作者的职业倦怠和离职意向: 职业自我关怀的调节作用[J]. 中国医学伦理学, 2023, 36(2): 160-166. https://www.cnki.com.cn/Article/CJFDTOTAL-XNLX202302008.htm Li Q, Xu L Y, Wang Y, et al. Occupational burnout and turnover intention of social workers under the context of epidemic prevention and control: the moderating effect of professional self-care[J]. Chin Med Ethics, 2023, 36(2): 160-166. https://www.cnki.com.cn/Article/CJFDTOTAL-XNLX202302008.htm
[11] 北京市委社会工委市民政局课题组. 社区工作者与社会工作者融合发展研究(2020)[M]//张洪温. 北京人才发展报告(2020). 北京: 社会科学文献出版社, 2020: 48-65. Research Group of the Social Work Committee and Civil Affairs Bureau of the Beijing Municipal Party Committee. Research on the integration and development of community workers and social workers(2020)[M]//Zhang H W. Annual Report on Development of Beijing's Talent(2020). Beijing: Social Sciences Academic Press(China), 2020: 48-65.
[12] 2022年民政事业发展统计公报发布[J]. 大社会, 2023(10): 61. Statistical bulletin on the development of civil affairs in 2022[J]. Dashehui Mag, 2023(10): 61.
[13] 何筱衍, 李春波, 钱洁, 等. 广泛性焦虑量表在综合性医院的信度和效度研究[J]. 上海精神医学, 2010, 22(4): 200-203. https://www.cnki.com.cn/Article/CJFDTOTAL-JSYI201004003.htm He X Y, Li C B, Qian J, et al. Reliability and validity of a generalized anxiety disorder scale in general hospital outpatients[J]. Shanghai Arch Psychiatry, 2010, 22(4): 200-203. https://www.cnki.com.cn/Article/CJFDTOTAL-JSYI201004003.htm
[14] 卞崔冬, 何筱衍, 钱洁, 等. 患者健康问卷抑郁症状群量表在综合性医院中的应用研究[J]. 同济大学学报(医学版), 2009, 30(5): 136-140. https://www.cnki.com.cn/Article/CJFDTOTAL-TJIY200905038.htm Bian C D, He X Y, Qian J, et al. The reliability and validity of a modified patient health questionnaire for screening depressive syndrome in general hospital outpatients[J]. J Tongji Univ(Med Sci), 2009, 30(5): 136-140. https://www.cnki.com.cn/Article/CJFDTOTAL-TJIY200905038.htm
[15] 陈曼曼, 胜利, 曲姗. 病人健康问卷在综合医院精神科门诊中筛查抑郁障碍的诊断试验[J]. 中国心理卫生杂志, 2015, 29(4): 241-245. https://www.cnki.com.cn/Article/CJFDTOTAL-ZXWS201504001.htm Chen M M, Sheng L, Qu S. Diagnostic test of screening depressive disorders in general hospital with the Patient Health Questionnaire[J]. Chin Ment Health J, 2015, 29(4): 241-245. https://www.cnki.com.cn/Article/CJFDTOTAL-ZXWS201504001.htm
[16] 陆林, 王雪芹, 唐向东. 睡眠与睡眠障碍相关量表[M]. 北京: 人民卫生出版社, 2016: 177-177. Lu L, Wang X Q, Tang X D. Scale related to sleep and sleep disorders[M]. Beijing: People's Medical Publishing House, 2016: 177-177.
[17] 李亚杰, 李咸志, 李剑波, 等. 中文版压力知觉量表在代表性社区成人群体中的应用[J]. 中国心理卫生杂志, 2021, 35(1): 67-72. https://www.cnki.com.cn/Article/CJFDTOTAL-ZXWS202101015.htm Li Y J, Li X Z, Li J B, et al. Application of the Chinese version of the Stress Perception Scale in representative community adult population[J]. Chin Ment Health J, 2021, 35(1): 67-72. https://www.cnki.com.cn/Article/CJFDTOTAL-ZXWS202101015.htm
[18] 张丹梅, 熊梅, 李彦章. 心理弹性量表简版在社区老年人中的信效度检验[J]. 中华行为医学与脑科学杂志, 2018, 27(10): 942-946. Zhang D M, Xiong M, Li Y Z. The reliability and validity of 10-item connor-davidson resilience scale in the community-dwelling older adults[J]. Chin J Behav Med Brain Sci, 2018, 27(10): 942-946.
[19] 于肖楠, 张建新. 自我韧性量表与Connor-Davidson韧性量表的应用比较[J]. 心理科学, 2007, 30(5): 1169-1171. https://www.cnki.com.cn/Article/CJFDTOTAL-XLKX200705037.htm Yu X N, Zhang J X. A comparison between the Chinese version of ego-resiliency scale and Connor-Davidson resilience scale[J]. Psychol Sci, 2007, 30(5): 1169-1171. https://www.cnki.com.cn/Article/CJFDTOTAL-XLKX200705037.htm
[20] 刘继文, 李富业, 连玉龙. 社会支持评定量表的信度效度研究[J]. 新疆医科大学学报, 2008, 31(1): 1-3. https://www.cnki.com.cn/Article/CJFDTOTAL-XJYY200801000.htm Liu J W, Li F Y, Lian Y L. Investigation of reliability and validity of the social support scale[J]. J Xinjiang Med Univ, 2008, 31(1): 1-3. https://www.cnki.com.cn/Article/CJFDTOTAL-XJYY200801000.htm
[21] 郑卫军, 何凡. 现况调查的样本量计算方法[J]. 预防医学, 2020, 32(6): 647-648. https://www.cnki.com.cn/Article/CJFDTOTAL-ZYFX202006029.htm Zheng W J, He F. Sample size estimate for cross-sectional study[J]. China Prev Med J, 2020, 32(6): 647-648. https://www.cnki.com.cn/Article/CJFDTOTAL-ZYFX202006029.htm
[22] Forenza B, Eckert C. Social worker identity: a profession in context[J]. Soc Work, 2018, 63(1): 17-26.
[23] 刘继同. 国外社工岗位怎么设置[J]. 中国社会导刊, 2008(33): 16. Liu J T. How to set up social work positions abroad[J]. China Soc Period, 2008(33): 16.
[24] Cederbaum J A, Ross A M, Zerden L S, et al. "We are on the frontlines too": a qualitative content analysis of US social workers' experiences during the COVID-19 pandemic[J]. Health Soc Care Community, 2022, 30(6): e5412-e5422.
[25] Pappa S, Ntella V, Giannakas T, et al. Prevalence of depression, anxiety, and insomnia among healthcare workers during the COVID-19 pandemic: a systematic review and meta-analysis[J]. Brain Behav Immun, 2020, 88: 901-907.
[26] Salari N, Khazaie H, Hosseinian-Far A, et al. The prevalence of stress, anxiety and depression within front-line healthcare workers caring for COVID-19 patients: a systematic review and meta-regression[J]. Hum Resour Health, 2020, 18(1): 100.
[27] 褚建欣, 许龙, 冯鑫媛, 等. 新型冠状病毒肺炎疫情对天津市医护人员心理及躯体状况的影响[J]. 职业与健康, 2022, 38(5): 640-644. https://www.cnki.com.cn/Article/CJFDTOTAL-ZYJK202205013.htm Chu J X, Xu L, Feng X Y, et al. Influence of COVID-19 epidemic on psychology and physical health of medical staff in Tianjin[J]. Occup Health, 2022, 38(5): 640-644. https://www.cnki.com.cn/Article/CJFDTOTAL-ZYJK202205013.htm
[28] 宋贝贝, 杜雪平, 董玉明. 新型冠状病毒肺炎疫情下北京市某社区居民心理状况调查[J]. 中华全科医师杂志, 2020, 19(7): 593-597. https://www.cnki.com.cn/Article/CJFDTOTAL-SDGW202102003.htm Song B B, Du X P, Dong Y M. Mental health status of residents in a Beijing community during COVID-19 epidemic period[J]. Chin J Gen Pract, 2020, 19(7): 593-597. https://www.cnki.com.cn/Article/CJFDTOTAL-SDGW202102003.htm
[29] 汪涛, 朱安平, 徐松, 等. 知觉压力与抑郁的关系: 反思、沉浸性反刍的多重中介作用[J]. 陆军军医大学学报, 2019, 41(4): 388-393. https://www.cnki.com.cn/Article/CJFDTOTAL-MZSG202304028.htm Wang T, Zhu A P, Xu S, et al. Relationship between perceived stress and depression: multiple mediating roles of reflection and brooding[J]. J Army Med Univ, 2019, 41(4): 388-393. https://www.cnki.com.cn/Article/CJFDTOTAL-MZSG202304028.htm
[30] Ramos-Cejudo J, Salguero J M. Negative metacognitive beliefs moderate the influence of perceived stress and anxiety in long-term anxiety[J]. Psychiatry Res, 2017, 250: 25-29.
[31] 张翔, 张榴红, 耿德勤, 等. 突发公共卫生事件中公众知觉压力对生活质量的影响: 焦虑、抑郁情绪的中介作用[J]. 徐州医科大学学报, 2022, 42(8): 613-617. https://www.cnki.com.cn/Article/CJFDTOTAL-XZYX202208012.htm Zhang X, Zhang L H, Geng D Q, et al. Effects of public perceived stress on quality of life in public health emergencies: the mediating effect of anxiety and depression[J]. J Xuzhou Med Univ, 2022, 42(8): 613-617. https://www.cnki.com.cn/Article/CJFDTOTAL-XZYX202208012.htm
[32] 吕涵, 林平, 赵振娟. 认知评价和应对方式在知觉压力与PCI术后主要心脏不良事件间的中介效应[J]. 中华现代护理杂志, 2020, 26(23): 3138-3143. Lyu H, Lin P, Zhao Z J. Mediating effects of cognitive appraisal and coping style between perceived stress and major adverse cardiac events after percutaneous coronary intervention[J]. Chin J Mod Nurs, 2020, 26(23): 3138-3143.
[33] Herr R M, Barrech A, Riedel N, et al. Long-term effectiveness of stress management at work: effects of the changes in perceived stress reactivity on mental health and sleep problems seven years later[J]. Int J Environ Res Public Health, 2018, 15(2): 255.
[34] 孙阳, 曹贵方, 毕晓霞, 等. 失眠症患者心理社会因素分析[J]. 临床精神医学杂志, 2007, 17(1): 22-24. https://www.cnki.com.cn/Article/CJFDTOTAL-LCJS200701013.htm Sun Y, Cao G F, Bi X X, et al. Analysis of factors of psychology and social support in patients with insomnia[J]. J Clin Psychiatry, 2007, 17(1): 22-24. https://www.cnki.com.cn/Article/CJFDTOTAL-LCJS200701013.htm
[35] Zhang H, Cui N Q, Chen D D, et al. Social support, anxiety symptoms, and depression symptoms among residents in standardized residency training programs: the mediating effects of emotional exhaustion[J]. BMC Psychiatry, 2021, 21(1): 460.
[36] Lluch C, Galiana L, Doménech P, et al. The impact of the COVID-19 pandemic on burnout, compassion fatigue, and compassion satisfaction in healthcare personnel: a systematic review of the literature published during the first year of the pandemic[J]. Healthcare(Basel), 2022, 10(2): 364.
[37] 吴秋彦, 邱丹, 肖水源. 新冠肺炎防控常态化期间医务人员睡眠质量与社会支持的关系[J]. 中国心理卫生杂志, 2023, 37(5): 442-448. https://www.cnki.com.cn/Article/CJFDTOTAL-ZXWS202305014.htm Wu Q Y, Qiu D, Xiao S Y. Relationship between sleep quality and social support in medical staff during normalized prevention and control of COVID-19[J]. Chin Ment Health J, 2023, 37(5): 442-448. https://www.cnki.com.cn/Article/CJFDTOTAL-ZXWS202305014.htm
[38] 崔珂, 沈芝芳, 宋玉田. 震后社会支持对灾民心理健康影响机制的范围综述[J]. 灾害学, 2023, 38(3): 148-155. https://www.cnki.com.cn/Article/CJFDTOTAL-ZHXU202303023.htm Cui K, Shen Z F, Song Y T. Scoping review of the impact of post-earthquake social support on the mental health of disaster survivors[J]. J Catastrophol, 2023, 38(3): 148-155. https://www.cnki.com.cn/Article/CJFDTOTAL-ZHXU202303023.htm
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