suicidal

自杀
  • 文章类型: Journal Article
    背景:中国年轻人中烟草/传统香烟(CC)和电子香烟(EC)使用量的增加已成为越来越多的公共卫生问题。这是第一项大规模研究,以比较CC和EC的使用对中国顺式异性恋,性和性别少数(SGM)青年人群的非自杀性自我伤害(NSSI)和自杀风险的影响。
    目的:本研究考察了中国青年NSSI和自杀的CC和EC风险,并比较了SGM和顺式异性恋青年NSSI和自杀的风险在多大程度上受到CC和EC的使用和依赖性的影响。
    方法:2021年共有89,342名中国参与者完成了横断面自我报告调查。社会人口统计信息,性取向,性别认同,CC和EC用法,CC和EC依赖性,并评估了自杀和NSSI的风险。对非正态分布连续变量和分类变量进行了Mann-WhitneyU检验和卡方检验,分别。多元线性回归模型用于检验CC和EC使用率以及CC和EC依赖性对NSSI和自杀性的影响,以及CC和EC使用率以及CC和EC依赖性对NSSI和自杀性的交互作用。
    结果:SGM参与者的CC使用率(P<.001)和依赖性(P<.001)的患病率低于其顺式异性恋者。然而,SGM参与者的EC使用率(P=.03)和EC依赖性(P<.001)高于顺式异性恋者.多元线性回归模型显示,CC依赖性和EC依赖性对NSSI和自杀性具有独特的影响(CCs:B=0.02,P<.001;B=0.09,P<.001;ECs:B=0.05,P<.001;B=0.14,P<.001)。(1)CC用法和群体类型对NSSI和自杀性的交互作用(分别为B=0.34,P<.001;B=0.24,P=.03)以及双重用法和群体类型对NSSI和自杀性的交互作用(分别为B=0.54,P<.001;B=0.84,P<.001)是显着的,(2)NSSI的CC依赖性和组类型显著(B=0.07,P<.001),(3)EC依赖性和群体类型对NSSI和自杀率的影响显着(分别为B=0.04,P<.001;B=0.09,P<.001)。EC使用和组类型对NSSI和自杀性(分别为B=0.15,P=.12;B=0.33,P=.32)之间以及CC依赖性和组类型对自杀性(B=-0.01,P=.72)之间未观察到显着的交互作用。
    结论:我们的研究表明,SGM和顺性异性恋青年之间NSSI和自杀风险的组间差异与CC和EC使用有关。这些发现有助于顺式异性恋和SGM人群中有关CC和EC的文献不断增加。必须在社会层面作出协调一致的努力,以遏制欧共体行业和媒体报道的积极营销战略,并最大限度地提高教育运动对青年群体中欧共体预防和干预的影响。
    BACKGROUND: The increase in tobacco/conventional cigarette (CC) and electronic cigarette (EC) usage among Chinese youth has become a growing public health concern. This is the first large-scale study to compare the impact of CC and EC usage on risk for nonsuicidal self-injury (NSSI) and suicidality in cis-heterosexual and sexual and gender minority (SGM) youth populations in China.
    OBJECTIVE: This study examines the CC and EC risks for NSSI and suicidality among Chinese youth and compares the extent to which SGM and cis-heterosexual youth\'s risks for NSSI and suicidality are influenced by their CC and EC usage and dependence.
    METHODS: A total of 89,342 Chinese participants completed a cross-sectional self-report survey in 2021. Sociodemographic information, sexual orientations, gender identities, CC and EC usage, CC and EC dependence, and risks for suicidality and NSSI were assessed. The Mann-Whitney U test and chi-square test were performed for nonnormally distributed continuous variables and categorical variables, respectively. The multivariable linear regression model was used to examine both the influence of CC and EC usage and CC and EC dependence on NSSI and suicidality as well as the interaction effects of CC and EC usage and CC and EC dependence on NSSI and suicidality by group.
    RESULTS: The prevalence of CC usage (P<.001) and dependence (P<.001) among SGM participants was lower than that among their cis-heterosexual counterparts. However, the prevalence of EC usage (P=.03) and EC dependence (P<.001) among SGM participants was higher than that among their cis-heterosexual counterparts. The multivariable linear regression model showed that CC dependence and EC dependence had a unique effect on NSSI and suicidality (CCs: B=0.02, P<.001; B=0.09, P<.001; ECs: B=0.05, P<.001; B=0.14, P<.001, respectively). The interaction effects of (1) CC usage and group type on NSSI and suicidality (B=0.34, P<.001; B=0.24, P=.03, respectively) and dual usage and group type on NSSI and suicidality (B=0.54, P<.001; B=0.84, P<.001, respectively) were significant, (2) CC dependence and group type on NSSI were significant (B=0.07, P<.001), and (3) EC dependence and group type on NSSI and suicidality were significant (B=0.04, P<.001; B=0.09, P<.001, respectively). No significant interaction effect was observed between EC usage and group type on NSSI and suicidality (B=0.15, P=.12; B=0.33, P=.32, respectively) and between CC dependence and group type on suicidality (B=-0.01, P=.72).
    CONCLUSIONS: Our study shows evidence of intergroup differences in NSSI and suicidality risks between SGM and cis-heterosexual youth related to CC and EC usage. These findings contribute to the growing literature on CC and EC in cis-heterosexual and SGM populations. Concerted efforts are necessary at a societal level to curb the aggressive marketing strategies of the EC industry and media coverage and to maximize the impact of educational campaigns on EC prevention and intervention among the youth population.
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  • 文章类型: Journal Article
    这项研究的目的是确定经历过短暂性脑缺血发作(TIA)的个体是否有自我伤害行为的风险增加。
    在这项配对队列研究中,我们回顾了1993年1月1日至2019年12月31日期间因任何原因在香港公立医院入院的所有患者的电子健康记录.我们选择了由37,356名患者组成的TIA后队列和由37,352名受试者组成的比较队列。所有参加这项研究的参与者都接受了随访,直到诊断出自我伤害。其他原因死亡,或2020年底,以先发生者为准。使用单变量Cox比例风险回归模型来计算自TIA发作以来的自我伤害风险。
    在整个27年的研究期间,在TIA和对照组中表现出自我伤害行为的个体数量为1031(2.76%)和512(1.37%),分别。TIA组有自我伤害的受试者比例较高(χ2=178,p<.001)。TIA患者和比较者的自我伤害发生率为33.94和19.27/10,000人年,分别。与比较器相比,TIA患者自我伤害的调整风险比为1.63(95%置信区间,1.46-1.82)。
    TIA与自我伤害风险增加有关。医疗保健专业人员应帮助识别高风险患者,并为该人群提供有效和有针对性的预防策略。
    The purpose of this study was to determine whether individuals who have experienced a transient ischemic attack (TIA) have an increased risk of self-harm behaviors.
    In this matched cohort study, we reviewed the electronic health records of all patients admitted for any reason to Hong Kong public hospitals between January 1, 1993, and December 31, 2019. We selected a post-TIA cohort consisting of 37,356 patients and a comparison cohort comprising 37,352 subjects. All participants enrolled in this study were followed up until a diagnosis of self-harm, death from other causes, or the end of 2020, whichever occurred first. Univariate Cox proportional hazards regression models were used to calculate the risk of self-harm since the onset of TIA.
    Throughout the 27-year study period, the number of individuals exhibiting self-harm behavior in the TIA and comparison groups was 1031 (2.76%) and 512 (1.37%), respectively. The TIA group had a higher proportion of subjects with self-harm (χ2 = 178, p < .001). The incidence rates of self-harm were 33.94 and 19.27 per 10,000 person-years in TIA patients and comparators, respectively. Compared with the comparators, the adjusted hazard ratio for self-harm in TIA patients was 1.63 (95% confidence interval, 1.46-1.82).
    TIA is associated with an increased risk of self-harm. Healthcare professionals should help identify patients at heightened risk and provide efficient and targeted prevention strategies for this population.
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  • 文章类型: Journal Article
    自杀是抑郁症最严重的后果,抑郁症已成为残疾的主要原因和全球疾病负担。最近的证据表明,小分子在抑郁症的发病机理和相关的自杀行为中起着核心作用。然而,在抑郁症相关自杀的发展中缺乏对小分子的系统探索,目前还不清楚它们如何影响个人的行为。为了比较抑郁症相关自杀行为的药物初治患者和健康个体之间的代谢组学特征,我们进行了系统的数据库搜索,以研究抑郁症相关自杀行为的代谢特征.在Excel中进行手动数据分析和统计分析和整合。我们使用Reactome途径分析工具进一步进行了信号传导途径预测的富集分析。我们已经确定了17种代谢物,在患有抑郁症相关自杀行为的未服用药物的患者和健康对照之间表达不同。我们已经将这些代谢物整合到生物信号通路中,并为抑郁症自杀患者提供了可视化的信号网络。我们已经揭示了“小分子的运输”,\"疾病\",“代谢”和“蛋白质代谢”是最相关的信号部分,其中“无机阳离子/阴离子和氨基酸/寡肽的转运”,“SLC介导的跨膜转运”,和“氨基酸及其衍生物的代谢”应进一步研究,以阐明其在抑郁症和相关自杀行为发展中的潜在致病机制。总之,我们对这17种代谢产物和相关信号通路的发现可为了解抑郁症相关自杀行为的分子发病机制和新药发明的潜在靶点提供依据.
    Suicide is the most severe consequence of depression which has become a leading cause of disability and a global disease burden. Recent evidence indicates a central role of small molecules in the pathogenesis of depression and associated suicidal behaviors. However, there lacks a systemic exploration of small molecules in the development of depression-associated suicide, and it remains unclear how they affect an individual\'s behavior. In order to compare the metabonomic profiles between drug-naïve patients with depression-associated suicidal behaviors and healthy individuals, we conducted a systemic database search for studies of metabolic characteristics in depression-associated suicidal behavior. Manual data curation and statistical analysis and integration were performed in Excel. We further performed an enrichment analysis of signaling pathway prediction using the Reactome Pathway Analysis tool. We have identified 17 metabolites that expressed differently between drug-naïve patients with depression-associated suicidal behaviors and healthy controls. We have integrated these metabolites into biological signaling pathways and provided a visualized signaling network in depressed suicidal patients. We have revealed that \"transport of small molecules\", \"disease\", \"metabolism\" and \"metabolism of proteins\" were the most relevant signaling sections, among which \"transport of inorganic cations/anions and amino acids/oligopeptides\", \"SLC-mediated transmembrane transport\", and \"metabolism of amino acids and derivatives\" should be further studied to elucidate their potential pathogenic mechanism in the development of depression and associated suicidal behavior. In conclusion, our findings of these 17 metabolites and associated signaling pathways could provide an insight into the molecular pathogenesis of depression-associated suicidal behavior and potential targets for new drug inventions.
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