Effects of emotional state, metacognition, and serum miRNAs on disease fear in depressed patients
-
摘要:
目的 分析抑郁症患者情绪、元认知以及血清miRNA-134、miRNA-16水平,探讨影响抑郁症患者疾病恐惧的因素。 方法 选取绍兴市第七人民医院2022年9月—2024年1月治疗的首发未用药抑郁症患者142例,按照恐惧疾病进展简化量表(FoP-Q-SF)评分将患者分为高恐惧组(79例)和低恐惧组(63例)。比较2组患者基线资料、情绪、元认知和血清miR-134、miR-16表达水平;采用logistic回归分析评估影响抑郁症患者疾病恐惧的因素。 结果 高恐惧组患者汉密尔顿抑郁量表(HAMD-17)评分、汉密尔顿焦虑量表(HAMA-14)评分和无认知问卷(MCQ-30)评分均高于低恐惧组(P<0.05);血清miRNA-134、miRNA-16水平均低于低恐惧组(P<0.05);2组患者性别、年龄、就业状态、独居、抑郁家族史及睡眠时长比较差异均有统计学意义(P<0.05)。Logistic回归分析结果显示,影响抑郁症患者疾病恐惧的因素包括独居、MCQ-30评分、血清miRNA-134和miRNA-16水平(OR=8.149、1.094、<0.001、<0.001)。 结论 元认知水平和血清miR-134、miR-16表达水平对抑郁症患者疾病恐惧具有显著影响。 Abstract:Objective To explore the relationship between emotional state, metacognition, and serum levels of miRNA-134 and miRNA-16 with disease fear in patients with depression. Methods A total of 142 patients with first-episode, medication-free depression treated at Shaoxing Seventh People's Hospital from September 2022 to January 2024 were selected. According to the fear of progression questionnaire-short form (FoP-Q-SF) score, the patients were divided into a high fear group (79 cases) and a low fear group (63 cases). The baseline data, emotional state, metacognition, and serum levels of miRNA-134 and miRNA-16 were compared between the two groups. Logistic regression analysis was used to evaluate the factors affecting the fear of disease in patients with depression. Results The scores of Hamilton depression scale-17 (HAMD-17), Hamilton anxiety scale-14 (HAMA-14), and the metacognitions questionnaire-30 (MCQ-30) in the high fear group were significantly higher than those in the low fear group (P < 0.05). The serum levels of miRNA-134 and miRNA-16 were significantly lower than those in the low fear group (P < 0.05). Additionally, there were significant differences in gender, age, employment status, living alone, family history of depression, and sleep duration between the two groups (P < 0.05). Logistic regression analysis identified living alone, MCQ-30 score, serum levels of miRNA-134 and miRNA-16 as significant factors affecting disease fear, with OR values of 8.149, 1.094, < 0.001, and < 0.001, respectively. Conclusion Metacognition levels and serum expression of miRNA-134 and miRNA-16 significantly impact the fear of disease in patients with depression. -
Key words:
- Depressive disorder /
- Metacognition /
- Micro ribonucleic acids /
- Disease fear /
- Influencing factors
-
表 1 2组抑郁症患者基线资料比较
Table 1. Comparison of baseline data between two groups of patients with depression
组别 例数 性别[例(%)] 年龄[M(P25, P75),岁] 受教育程度[例(%)] 户籍[例(%)] 男性 女性 初中以下 高中/中专 大专以上 城市 农村 高恐惧组 79 25(31.65) 54(68.35) 30.00(25.00,37.00) 46(58.23) 20(25.32) 13(16.45) 34(43.04) 45(56.96) 低恐惧组 63 31(49.21) 32(50.79) 26.00(24.00,32.00) 31(49.21) 14(22.22) 18(28.57) 31(49.21) 32(50.79) 统计量 4.525a -2.585b 3.023b 0.537a P值 0.033 0.010 0.221 0.464 组别 例数 婚姻状况[例(%)] 就业状态[例(%)] 独居[例(%)] 未婚 已婚 离婚/丧偶 在职 无业/退休 是 否 高恐惧组 79 22(27.85) 36(45.57) 21(26.58) 26(32.91) 53(67.09) 44(55.70) 35(44.30) 低恐惧组 63 21(33.33) 31(49.21) 11(17.46) 33(52.38) 30(47.62) 23(36.51) 40(63.49) 统计量 1.741a 5.471a 5.178a P值 0.419 0.019 0.023 注:a为χ2值,b为U值。 表 2 2组抑郁症患者疾病与健康状态比较
Table 2. Comparison of disease and health status between two groups of patients with depression
组别 例数 BMI(x±s) 抑郁症家族史[例(%)] 睡眠时长[例(%)] 是 否 ≤6 h >6 h 高恐惧组 79 22.17±2.62 27(34.18) 52(65.82) 59(74.68) 20(25.32) 低恐惧组 63 22.50±1.97 12(19.05) 51(80.95) 37(58.73) 26(41.27) 统计量 0.874a 4.027b 4.073b P值 0.384 0.045 0.044 注:a为t值,b为χ2值。 表 3 2组抑郁症患者情绪、元认知及血清miRNA-134、miRNA-16水平比较
Table 3. Comparison of emotion, metacognition, and serum levels of miRNA-134, miRNA-1 between two groups of patients with depression
组别 例数 HAMD-17评分[M(P25, P75),分] HAMA-14评分(x±s,分) MCQ-30评分(x±s,分) 血清miRNAs[M(P25, P75)] miRNA-134 miRNA-16 高恐惧组 79 27.00(24.00,31.00) 21.97±5.52 70.30±14.64 0.31(0.27,0.35) 0.03(0.02,0.04) 低恐惧组 63 25.00(21.00,27.00) 18.49±4.82 57.70±11.65 0.44(0.39.0.50) 0.04(0.03,0.05) 统计量 -2.515a 3.951b 5.570b -8.618a -4.611a P值 0.120 <0.001 <0.001 <0.001 <0.001 注:a为U值,b为t值。 表 4 情绪、元认知及血清miRNAs对抑郁症患者疾病恐惧的影响分析(n=142)
Table 4. Effects of emotion, metacognition, and serum miRNAs on disease-related fear in patients with depression(n=142)
变量 B SE Waldχ2 P值 OR值 95% CI 独居 2.098 0.889 5.561 0.018 8.149 1.426~46.568 MCQ-30评分 0.090 0.035 6.595 0.010 1.094 1.022~1.172 miRNA-134 -41.040 9.657 18.384 <0.001 <0.001 <0.001~<0.001 miRNA-16 -108.711 40.109 7.346 0.007 <0.001 <0.001~<0.001 -
[1] 马莉莉, 袁正玮, 马兵, 等. 抑郁症患者的心理弹性现状及其影响因素[J]. 国际精神病学杂志, 2023, 50(6): 1319-1324.MA L L, YUAN Z W, MA B, et al. The status of psychological resilience in patients with major depression and its influencing factors[J]. Journal of International Psychiatry, 2023, 50(6): 1319-1324. [2] 于晓磊, 李文鑫, 陈盼盼, 等. 癌症信息超载对头颈部恶性肿瘤放化疗患者恐惧疾病进展的影响: 决策冲突的中介作用[J]. 军事护理, 2023, 40(11): 74-78.YU X L, LI W X, CHEN P P, et al. The Effect of information overload on the fear of disease progression in patients with head and neck cancer undergoing radiotherapy and chemotherapy: the mediating role of decisional conflict[J]. Military Nursing, 2023, 40(11): 74-78. [3] RANIERI J, GUERRA F, DI GIACOMO D. Role of metacognition thinking and psychological traits in breast cancer survivorship[J]. Behav Sci (Basel), 2020, 10(9): 135. doi: 10.3390/bs10090135 [4] 陈玲玲, 吴继敏, 张冬英, 等. 直肠癌患者癌症复发恐惧与元认知和神经质的关系[J]. 中华现代护理杂志, 2022, 28(17): 2320-2324. doi: 10.3760/cma.j.cn115682-20211115-05115CHEN L L, WU J M, ZHAG D Y, et al. Correlation of fear of cancer recurrence with metacognition and neuroticism in patients with rectal cancer[J]. Chinese Journal of Modern Nursing, 2022, 28(17): 2320-2324. doi: 10.3760/cma.j.cn115682-20211115-05115 [5] 任江艳, 王新星, 王向阳, 等. 血清miR-193b-3p与动脉瘤性蛛网膜下腔出血病人不良预后的关系[J]. 中国临床神经外科杂志, 2023, 28(9): 569-572.REN J Y, WANG X X, WANG X Y, et al. Relationship between serum miR-193b-3p on admition and poor prognosis of patients with aneurysmal subarachnoid hemorrhage[J]. Chinese Journal of Clinical Neurosurgery, 2023, 28(9): 569-572. [6] 顾峰, 周岩, 韦培培. 乳腺癌患者外周血miRNA-134表达及化疗耐药的机制[J]. 重庆医学, 2018, 47(6): 779-782, 785.GU F, ZHOU Y, WEI P P. Expression of peripheral blood miRNA-134 in patients with breast cancer and mechanism of chemotherapy drug resistance[J]. Chongqing Medicine, 2018, 47(6): 779-782, 785. [7] 叶炜芃, 邓子豪, 黄群锋, 等. 肿瘤患者抑郁和焦虑影响因素相关性研究[J]. 中华生物医学工程杂志, 2022, 28(6): 662-667. doi: 10.3760/cma.j.cn115668-20220419-00088YE W P, DENG Z H, HUANG Q F, et al. Correlation analysis on influencing factors of depression and anxiety in cancer patients[J]. Chinese Journal of Biomedical Engineering, 2022, 28(6): 662-667. doi: 10.3760/cma.j.cn115668-20220419-00088 [8] 尉建红, 冯虹. 双相情感障碍患者睡眠状况及影响因素分析[J]. 中华全科医学, 2024, 22(4): 625-628, 655. doi: 10.16766/j.cnki.issn.1674-4152.003466WEI J H, FENG H. Sleep patterns and factors influencing sleep in patients with bipolar disorder[J]. Chinese Journal of General Practice, 2024, 22(4): 625-628, 655. doi: 10.16766/j.cnki.issn.1674-4152.003466 [9] 张榴红, 周婷, 黄峥, 等. 妇科肿瘤患者负性情绪和元认知在躯体症状与恐惧疾病进展间的链式中介作用[J]. 中华行为医学与脑科学杂志, 2022, 31(11): 1002-1007. doi: 10.3760/cma.j.cn371468-20220502-00221ZHANG L H, ZHOU T, HUANG Z, et al. Chain mediating effect of anxiety, depression and metacognition between somatic symptoms and fear of disease progression among gynecological tumor patients[J]. Chinese Journal of Behavioral Medicine and Brain Science, 2022, 31(11): 1002-1007. doi: 10.3760/cma.j.cn371468-20220502-00221 [10] MAHENDRAN R, LIU J, KUPARASUNDRAM S, et al. Validation of the English and simplified mandarin versions of the fear of progression questionnaire-short form in Chinese cancer survivors[J]. BMC Psychol, 2020, 8(1): 10. doi: 10.1186/s40359-020-0374-0 [11] 邓小梅, 侯铃宇, 石鑫, 等. 住院病人恐惧疾病进展与焦虑抑郁的相关性分析[J]. 全科护理, 2021, 19(34): 4866-4869. doi: 10.12104/j.issn.1674-4748.2021.34.030DENG X M, HOU L Y, SHI X, et al. Correlation analysis of hospitalized patients' fear of disease progression and anxiety and depressio[J]. Chinese General Practice Nursing, 2021, 19(34): 4866-4869. doi: 10.12104/j.issn.1674-4748.2021.34.030 [12] 刘津君, 段维, 肖泽萍, 等. 抑郁症患者参加网络正念认知治疗的疗效及其抑郁症状与恐惧自我的关系[J]. 中国健康心理学杂志, 2024, 32(5): 641-645.LIU J J, DUAN W, XIAO Z P, et al. Effectiveness of online MBCT for depressed patients and its relationship between their depressive symptoms and its of self[J]. China Journal of Health Psychology, 2024, 32(5): 641-645. [13] 刘玉洁, 申丽娟, 杨莹, 等. 元认知训练治疗伴非自杀性自伤青少年抑郁症患者的临床疗效观察[J]. 临床心身疾病杂志, 2024, 30(3): 5-10. doi: 10.3969/j.issn.1672-187X.2024.03.002LIU L J, SHEN L J, YANG Y, et al. Clinical effect of metacognitive training on adolescent depression complicated by non-suicidal self-injury[J]. Journal of Clinical Psychosomatic Diseases, 2024, 30(3): 5-10. doi: 10.3969/j.issn.1672-187X.2024.03.002 [14] COLEMAN S E, DUNLOP B J, HARTLEY S, et al. The relationship between rumination and NSSI: a systematic review and meta-analysis[J]. Br J Clin Psychol, 2022, 61(2): 405-443. doi: 10.1111/bjc.12350 [15] 王身祥, 关司宇, 汪彬, 等. 元认知训练对抑郁症及反刍思维的应用效果观察[J]. 浙江医学教育, 2021, 20(6): 49-52.WANG S X, GUAN S Y, WANG B, et al. Observation on the Effect of Metacognitive Training for Depression in Patients with Depression under Rumination Thinking[J]. Zhejiang Medical Education, 2021, 20(6): 49-52. [16] 马竹静, 冯钰婷, 孙科伟, 等. 元认知心理干预技术联合文拉法辛对首发抑郁症患者执行功能的影响: 来自行为学和ERPs的证据[J]. 精神医学杂志, 2022, 35(5): 476-480.MA Z J, FENG Y T, SUN K W, et al. Effect of conditioned emotional response intervening technique combined with venlafaxine on executive function in patients with first-episode depression: Evidence from praxeology and ERPs[J]. Journal of Psychiatry, 2022, 35(5): 476-480. [17] 彭世嘉. 元认知、情绪智力和反刍思维对抑郁青少年非自杀性自伤的影响[D]. 沈阳: 中国医科大学, 2023.PENG S J. The effects of metacognition, emotional intelligence and rumination on non-suicidal self-injury in depressed adolescents[D]. Shenyang: China Medical University, 2023. [18] 李静, 韩永凯, 苏静, 等. miR-134调控CREB/BDNF通路参与脑卒中后抑郁的作用机制研究[J]. 天津医药, 2021, 49(1): 16-21.LI J, HAN Y K, SU J, et al. Mechanism of miR-134 regulating CREB/BDNF pathway in post-stroke depression[J]. Tianjin Medical Journal, 2021, 49(1): 16-21. [19] 钱时兴, 房圆, 孙琳, 等. 西酞普兰对抑郁症患者外周血miRNA-16/5-羟色胺转运体通路的影响[J]. 上海交通大学学报(医学版), 2020, 40(6): 814-819. doi: 10.3969/j.issn.1674-8115.2020.06.017QIAN S X, FANG Y, SUN L, et al. Effect of citalopram on miRNA-16/serotonin transporter pathway in peripheral blood of patients with depression[J]. Journal of Shanghai Jiao tong University: Medical Science, 2020, 40(6): 814-819. doi: 10.3969/j.issn.1674-8115.2020.06.017 [20] 胡雅坤, 王志强, 梁家辉. 微小RNA-134靶向调控环腺苷酸应答元件结合蛋白/脑源性神经营养因子通路对脑卒中后抑郁海马神经细胞的影响[J]. 临床神经病学杂志, 2022, 35(1): 56-60.HU Y K, WANG Z Q, LIANG J H. Effect of microRNA-134 targeting cyclic AMP response element binding protein 1/brain derived neurotrophic factor pathway on hippocampal neurons of post-stroke depression[J]. Journal of Clinical Neurology, 2022, 35(1): 56-60. [21] 赵俊, 田会玲, 李昱颉, 等. 电针对抑郁模型大鼠不同脑区miRNA-16及5-羟色胺转运体的影响[J]. 针灸临床杂志, 2019, 35(11): 69-74.ZHAO J, TIAN H L, LI Y J, et al. Effect of Electro-Acupuncture on miRNA-16 and SERT in Different Brain Regions in Model Rat of Depression[J]. Journal of Clinical Acupuncture and Moxibustion, 2019, 35(11): 69-74. [22] 唐彩云, 黄蓉, 王瑶, 等. 农村丧偶独居老年女性抑郁、孤独感与生活质量的关系[J]. 中南大学学报(医学版), 2023, 48(12): 1865-1873.TANG C Y, HUANG R, WANG Y, et al. Relationship of depression and loneliness with quality of life in rural widowed elderly women living alone[J]. Journal of Central South University: Medical Science, 2023, 48(12): 1865-1873.
计量
- 文章访问数: 29
- HTML全文浏览量: 13
- PDF下载量: 3
- 被引次数: 0