严重精神障碍患者连续化“专全结合”管理模式效果评价北大核心CSCD

目的评估天津市严重精神障碍患者连续化“专全结合”管理模式的实施效果。方法回顾性收集2018-2020年由天津市精神卫生中心明确诊断并接受社区随访管理的6种严重精神障碍患者,包括精神分裂症、偏执性精神病、分裂情感性障碍、双相(情感)障碍、癫痫所致精神障碍、精神发育迟滞伴发精神障碍,将患者分为由天津市精神卫生中心负责指导的连续化“专全结合”管理模式组(试点组),共计1435例,以及由其他精神卫生医疗机构负责指导的非连续化“专全结合”管理模式组(非试点组),共计3514例。以规范管理、规律服药、病情稳定、发生危险行为情况来评估患者管理效果。结果单因素分析显示,试点组规范管理(99.02%vs.97.89%)、病情稳定(91.85%vs.85.83%)患者比例高于非试点组(P<0.01),规律服药(89.97%vs.90.10%)、发生危险行为(0.35%vs.0.46%)情况组间无统计学差异(P>0.05)。控制一般资料,多因素logistic回归分析显示,试点组患者规范管理率高于非试点组患者(OR=2.08,95%CI:1.11~3.92),规律服药率高于非试点组(OR=1.56,95%CI:1.23~1.99)。结论连续化“专全结合”管理模式能提高社区严重精神障碍患者的规范管理率及服药依从性。     

社区精神分裂症患者服药依从性调查及影响因素分析

目的探讨社区精神分裂症患者服药依从性及影响因素。方法对上海市虹口区8个街道社区卫生服务中心登记在册的精神分裂症患者服药依从性情况进行问卷调查,运用二元Logistic回归方法分析影响患者服药依从性的因素。结果入组的2342例社区精神分裂症患者中,服药依从性好者为2159例(占92.2%),服药依从性差者为183例(占7.8%)。Logistic回归分析结果显示起病形式缓慢(OR=2.230,95%CI:1.374～3.619,P=0.001)、自知力不全(OR=6.027,95%CI:1.769～20.533,P=0.004)或缺失(OR=9.306,95%CI:2.146～40.360,P=0.003)、病情严重程度评分 10分(OR=3.229,95%CI:1.765～5.910,P0.001)、就诊方式为未门诊(OR=15.413,95%CI:5.912～40.180,P0.001)、不定期复诊(OR=19.838,95%CI:11.914～33.032,P0.001)、监护情况差(OR=2.156,95%CI:1.402～3.318,P0.001)、近期有心理生活应激事件(OR=9.112,95%CI:2.854～29.085,P0.001)为社区精神分裂症患者服药依从性的不利因素。结论社区精神分裂症患者服药依从性的影响因素包括患者的起病形式、自知力、病情严重程度、就诊方式、复诊及时性、监护情况和近期心理生活应激事件,需针对性采取干预措施以提高社区精神分裂症患者服药依从性。     

常德地区严重精神障碍患者暴力攻击行为研究

目的了解常德市严重精神障碍患者的暴力攻击行为现状,探索暴力攻击行为的危险因素,为优化对这一人群的管控策略提供参考。方法于2017年7月-12月,在常德市康复医院接受暴力危险性评估的2 362例疑似精神障碍患者中,采用Excel生成随机整数的方式,随机选出790名被试,并将其中757例符合入组标准的患者纳入本研究,收集其一般人口学资料和临床资料,并进行修订版外显攻击行为量表(MOAS)评定。将MOAS加权总分≥5分者定义为研究组(n=505),MOAS加权总分5分者定义为对照组(n=252),比较两组一般人口学资料和临床资料,采用二元Logistic回归分析探索暴力攻击行为的独立相关因素。结果研究组中男性、年龄相对较小、单身、近半年无业、不(规律)服药、存在被关锁情况、伴有反社会人格特征者所占比例高于对照组(P0.05或0.01)。二元Logistic回归分析显示,不(规律)服药(OR=2.659,95%CI:1.892～3.738)、年龄≤30岁(OR=1.845,95%CI:1.163～2.926)、男性(OR=1.486,95%CI:1.085～2.036)、无业(OR=1.621,95%CI:1.069～2.457)与高暴力攻击风险呈独立正相关(P0.05或0.01)。结论常德市严重精神障碍患者发生暴力攻击行为的危险因素主要包括不(规律)服药、年龄≤30岁、男性、无业。     

一户多名严重精神障碍家庭监护人现状及患者服药依从性影响因素调查

目的调查一户多名严重精神障碍患者家庭监护人现状和患者服药依从性的影响因素,为有针对性地对此群体给予精神卫生服务提供参考。方法于2017年11月-2018年5月从国家严重精神障碍管理治疗系统中选取重庆市江北区、沙坪坝区、万州区一户多名严重精神障碍患者家庭110户,采用自制调查表收集患者及其监护人一般人口学资料及患者临床资料、服药情况等。结果①在110户严重精神障碍患者家庭中,无监护人家庭为10户(9. 1%),有1名监护人的家庭为84户(76. 4%),有2名监护人的家庭为16户(14. 5%);②有3名患者的家庭共4户(3. 6%),有2名患者的家庭共106户(96. 4%);③患者服药依从性与其居住地(r=0. 201,P0. 01)、是否与监护人同住(r=0. 193,P0. 01)及受教育程度(r=0. 370,P0. 01)呈正相关,两名患者服药依从性之间呈正相关(r=0. 451,P0. 01);④有序Logistic回归分析显示,是否与监护人同住(OR=-1. 14)、小学及以下(OR=20. 24)、初中受教育程度(OR=18. 94)对患者服药依从性产生影响。结论一户多名严重精神障碍患者之间服药依从性呈正相关,与监护人同住是患者服药依从性的保护因素,患者受教育程度低是服药依从性的危险因素。     

青海省藏族精神分裂症未治期及影响因素分析

目的探讨藏族精神分裂症患者精神病未治期(duration of untreated psychosis,DUP)的影响因素。方法采用精神分裂症患者精神卫生服务利用调查问卷及精神分裂症首发症状评定量表对188例藏族精神分裂症患者的社会人口学资料、精神疾病家族史、家庭类型、起病形式、医疗付款方式、居住地、自评家庭收入水平、首发症状出现的时间等进行调查,分析DUP影响因素。结果患者DUP呈偏态分布,中位数375 d(QL=4 d,QU=1661 d)。将患者分为短DUP组(DUP≤375 d)90例和长DUP组(DUP375 d)98例,不同DUP组患者的起病形式、婚姻状况、文化程度、家庭类型、居住地的组间差异有统计学意义(P0.05)。DUP影响因素的logistic回归分析显示,结构缺失的家庭(OR=2.340,95%CI:1.130~4.847,P=0.022)、慢性起病(OR=2.136,95%CI:1.172~3.891,P=0.013)、居住在农牧区(OR=2.239,95%CI:1.097~4.571,P=0.027)与长DUP相关联。结论藏族精神分裂症DUP较长,受多种因素影响,主要的危险因素有结构缺失的家庭、慢性起病、居住在农牧区。     

精神障碍患者低钠血症危险因素研究

目的评估在精神障碍患者中出现低钠血症的相关危险因素。方法采用自制调查表,回顾记录87例在住院期间出现低钠血症的精神障碍患者与87例同期未出现低钠血症精神障碍患者的社会人口学特征、精神科诊断、精神科用药、躯体疾病诊断、躯体疾病用药情况,采用1:1配对进行病例对照研究。结果多因素条件logistic回归分析显示,器质性疾病所致精神障碍(OR=3.08,95%CI:1.43~6.05)、抗抑郁药(OR=2.14,95%CI:1.01~1.27)、躯体疾病用药(OR=3.50,95%CI:1.96~4.60)与低钠血症相关联(P0.05)。结论患有器质性疾病所致精神障碍、使用抗抑郁药、使用躯体疾病用药是精神障碍患者低钠血症的重要危险因素。     

颅内动脉瘤破裂危险因素分析

目的探讨颅内动脉瘤破裂的危险因素。方法回顾分析2011年1月~2016年1月在我院确诊为颅内动脉瘤的373例患者的病历资料,根据动脉瘤破裂与否将研究对象分为破裂组(n=343)和未破裂组(n=30),对两组患者的临床资料及动脉瘤相关特征资料进行搜集,并进行单因素分析筛选,然后行Logistic回归分析。结果(1)经χ2分析及t检验示年龄、吸烟、饮酒、动脉瘤直径、动脉瘤部位等比较结果具有统计学意义(P0.05)。(2)经logistic回归分析示颅内动脉瘤发生破裂的相关危险因素有青年(OR=1.437,95%CI=0.542~3.813)、老年(OR=1.083,95%CI=0.619~1.895)、中等动脉瘤(OR=1.764,95%CI=0.611~5.096)、前交通动脉瘤(OR=2.839,95%CI=1.238~6.509)、后交通动脉瘤(OR=1.102,95%CI=0.624~1.944)、高血压(OR=1.04895%CI=0.585~1.877)、饮酒史(OR=1.286,95%CI=0.503~3.290)。结论青年、老年、高血压、饮酒史、中等动脉瘤、前交通动脉瘤、后交通动脉瘤是颅内动脉瘤破裂的相关危险因素。     

社区精神分裂症患者低体重率及相关因素分析

目的探讨精神分裂症患者低体重率及相关社会人口学和临床特征危险因素。方法纳入503例社区精神分裂症患者与323名健康对照,以体质指数小于18.5 kg/m2定义低体重,比较两组低体重率;收集患者组社会人口学资料、临床资料以及实验室检查指标,阳性和阴性症状量表中文版(positive and negative syndrome scale,PANSS)评估患者精神症状,分析患者低体重的相关因素。结果社区精神分裂症患者低体重率为9.9%(50/503),对照组为1.5%(5/323),组间差异有统计学意义(P0.01)。多因素logistic回归分析显示,男性(OR=2.43,95%CI:1.74~3.39)、吸烟(OR=1.50,95%CI:1.21~1.86)、住院次数(OR=1.18,95%CI:1.06~1.31)、PANSS阴性症状因子分(OR=1.09,95%CI:1.04~1.14)是低体重的危险因素(均P0.05)。结论精神分裂症患者体重不足较为常见,远高于健康人群,需要重点关注男性、吸烟、多次住院及阴性症状突出的患者。     

北京市怀柔区社区严重精神障碍患者免费服药依从性相关因素分析

目的 探索了解北京市怀柔区社区居家严重精神障碍患者免费服药依从性的相关因素。 方法 采用简单随机抽样的方法，对 2018 年 3 月至 2019 年 3 月期间，登记在“北京市怀柔区精神卫生管 理系统”的社区免费服药的严重精神障碍患者 600 例进行 Morisky 自我报告服药依从性问卷（MAQ-8）调 查，依据调查情况分为依从性差（MAQ-8 得分＜ 6 分）组与依从性好（MAQ-8 得分 6～8 分）组。收集所有 对象的一般特征（性别、年龄、工作情况、居住环境、婚姻状态、居住方式、躯体疾病、家族史、药敏史、疾 病类型、家庭收入、受教育年限、住院次数等）以及影响服药依从性的因素。采用访谈法对 15 例严重精 神障碍患者进行个案访谈，通过现象学分析法对资料进行分析，得到影响服药依从性的 9 个主题；采用 t检验和χ2 检验分析依从性差组与依从性好组患者一般特征的差异，采用多因素 Logistic 回归分析方法 分析影响患者依从性的因素。结果 本次研究共筛查 600 例，采集有效信息 435 例，其中 325 例（74.7%） 服药依从性好，110 例（25.3%）服药依从性差；未按医嘱服药的原因中，选择率最高者为忘记服用（60.0%， 66/110），其次为无监护人管理督促（43.6%，48/110）和自知力缺乏（35.5%，39/110）。多因素 Logistic 回归 分析结果显示，居住环境在平原区的患者服药依从性劣于山区的患者（OR=2.41，95%CI：1.14～5.10，P＜ 0.05）；家庭月收入＜ 3 000 元的患者服药依从性优于家庭月收入≥ 5 000 元的患者（OR=0.36，95%CI： 0.19～0.70，P＜ 0.01）；受教育程度低是服药依从性的危险因素（OR=13.81，95%CI：2.82～67.7，P＜ 0.01）。 结论 北京市怀柔区的居家免费服药的严重精神障碍患者中，居住环境、家庭月收入、受教育年限是影 响依从性的主要影响因素。未按医嘱服药的原因主要为各种原因忘记服用，其次为无监护人管理督促 而未服药和自知力缺乏。     

高龄MCI患者认知功能减退的影响因素分析

目的探讨本市社区高龄MCI患者认知功能减退的影响因素。方法采用巢式病例-对照研究方法,由629例患轻度认知功能损害的社区老年人群组成随访队列,按年龄、性别进行匹配,3次随访后为认知减退组(n=275)和对照组(n=354),Logistic回归分析认知功能减退的影响因素。结果认知功能减退的危险因素有年龄增加(OR=2.057,95%CI:1.125~3.762)、高血压史(OR=3.128,95%CI:1.616~6.055)、糖尿病史(OR=3.143,95%CI:2.043~18.642)、高血脂史(OR=2.812,95%CI:2.812~13.544),保护因素有文化程度(OR=0.726,95%CI:0.633~0.833)。结论年龄增加、高血压史、糖尿病史、高血脂史是高龄MCI患者认知减退的危险因素;文化程度高是保护因素。     

Findings from the National Comorbidity Survey on the frequency of violent behavior in individuals with psychiatric disorders

Previous studies using probability samples have found a noticeable, but small association between violence and psychiatric disorder. In this article, we analyze data from the National Comorbidity Survey (NCS) to further examine this question. Psychiatric diagnosis of survey responses was based on a modified version of the Composite International Diagnostic Interview. The NCS study also included items that permitted self-report of violent behaviors in the past year. People with 12-month diagnoses of anxiety disorders, dysthymia and major depression were three to four times more likely to admit violent behaviors than those with no disorders. People with bipolar disorder or drug and alcohol abuse were eight times more likely to report violent behaviors. People with co-occurring non-substance and substance abuse disorders were more likely to report violence than those with only non-abuse disorders. Adjusting violence rates by population base rates shows demographics including ethnicity and gender to be a better predictor of violent behavior than psychiatric diagnosis. The NCS findings approximate those in other probability studies and echo the conclusions of the 1996 Consensus Statement by Advocates and Researchers on violence and mental illness; namely, mental illness is only a weak predictor of violent behavior.     

Mortality associated with incident mental health disorders after stroke

OBJECTIVE: Sparse information is currently available about the incidence of the major psychiatric syndromes following a stroke and their long-term contribution to morbidity and mortality. This study was designed to determine: (1) the incidence of first ever mental health disorder in amongst stroke patients; (2) the 10-year mortality associated with incident post-stroke mental health disorders. METHODS: Design: Retrospective cohort study. Setting: Entire Western Australian community. Participants: First-ever stroke in 1990. Subjects with a prior recorded history of any mental health disorder were excluded from the study. Main outcomes of interest: Incident mental health diagnoses and 10-year mortality. RESULTS: 1,129 hospital stroke contacts were recorded in 1990, with 21 people dying on the same day of contact. Between 1990-2002 36.6% of the survivors received a mental health diagnosis (6.1 per 1,000 person-years): alcohol-related disorders (16.2%), dementia (12.1%), delirium (7.6%), psychotic disorders (6.7%), and depression (5.5%). Mental health disorder onset was usually within 6 months of the stroke. Patients with an incident psychotic disorder were twice as likely to die during the subsequent 10 years as post-stroke controls with no mental health disorder (risk ratio = 2.03, 95%CI = 1.39-2.95). Being a widow (HR = 1.61, 95%CI = 1.13-2.30) or having been born in 'other countries' as opposed to Australia (HR = 1.56, 95%CI = 1.15-2.11) was also associated with increased death hazard. CONCLUSIONS: Approximately 1 in 3 patients develop a mental health disorder after stroke, although incidence estimates are relatively low. Post-stroke psychosis is associated with greater 10-year mortality, but the mechanisms underlying such an association are yet to be determined.     

Mental illness and health care use: a study among new neurological patients

We investigated 198 new neurological patients to learn if mental illness had an impact on nonpsychiatric health care use. Mental illness was assessed in a two-phase design, including the Schedules for Clinical Assessment in Neuropsychiatry (SCAN), providing ICD-10 diagnoses and two brief rating scales: the Symptom Check List (SCL-8) for anxiety and depression and the Whiteley-7 for somatization. The patients' use of health care was studied 5-10 years before and 18 months after the psychiatric assessment, using data from national patient registers. Mental illness was linked to data on health care use through weighted logistic regression. ICD-10 psychiatric disorders increased the risk of subsequent high use of nonpsychiatric hospital admissions - somatoform disorders with more than five times (OR=5.6; 95% CI=1.6-20.1) and anxiety/depression with almost four times (OR=3.7; 95% CI=1.1-12.0). There was also a trend, though less marked, linking mental illness to previous hospital use. Use of primary care was also markedly increased by mental disorders, however, only in patients entering the study as inpatients. In conclusion, neurological patients are at risk of being high users of health care if they have a mental illness, somatoform disorders being the most powerful risk factor. The results are consistent with the findings among internal medical patients.     

The population impact of severe mental illness on violent crime

OBJECTIVE: This study aimed to determine the population impact of patients with severe mental illness on violent crime. METHOD: Sweden possesses high-quality national registers for all hospital admissions and criminal convictions. All individuals discharged from the hospital with ICD diagnoses of schizophrenia and other psychoses (N=98,082) were linked to the crime register to determine the population-attributable risk of patients with severe mental illness to violent crime. The attributable risk was calculated by gender, three age bands (15-24, 25-39, and 40 years and over), and offense type. RESULTS: Over a 13-year period, there were 45 violent crimes committed per 1,000 inhabitants. Of these, 2.4 were attributable to patients with severe mental illness. This corresponds to a population-attributable risk fraction of 5.2%. This attributable risk fraction was higher in women than men across all age bands. In women ages 25-39, it was 14.0%, and in women over 40, it was 19.0%. The attributable risk fractions were lowest in those ages 15-24 (2.3% for male patients and 2.9% for female patients). CONCLUSIONS: The population impact of patients with severe mental illness on violent crime, estimated by calculating the population-attributable risk, varies by gender and age. Overall, the population-attributable risk fraction of patients was 5%, suggesting that patients with severe mental illness commit one in 20 violent crimes.     

武汉市武昌区重性精神疾病患者现状及相关因素分析

目的：了解武汉市武昌区重性精神疾病患者的现状与相关因素之间的关系,为社区有效管理提供依据。方法资料来源于国家重性精神疾病网络管理系统,对武昌区3358例重性精神疾病患者的相关数据进行描述性分析,对患者病程及疾病类型的影响因素进行 Logistic 回归分析。结果武昌区网络管理的重性精神疾病患者中单身者占59．38％,初中及以下文化程度者占60．18％,家庭经济状况贫困者占43．33％,无业或下岗者占60．76％。Logistic回归分析发现,经济状况（OR ＝0．896）、文化程度（OR ＝1．430）会影响病程;文化程度（OR ＝0．549）、经济状况（OR ＝1．212）、婚姻（OR ＝1．183）、职业（OR ＝1．215）会影响精神疾病类型。结论应将精神分裂症、精神发育迟滞（伴发精神障碍）作为管理重点,尤其是对未服药及依从性差的患者。     

Psychotic-like experiences and interpersonal violence in the general population

BACKGROUND: Research on the association of psychopathology and violence has mainly focused on severe but rare mental disorders, especially psychotic disorders. However, evidence is growing that psychotic disorders are continuous with common psychotic-like experiences in the general population. This study aimed to examine the association of psychotic-like experiences with violence in a general population sample. METHODS: In 38,132 adult participants of the 2001 US National Household Survey on Drug Abuse, the association of psychotic-like experiences with violent behavior were examined. RESULTS: Psychotic-like experiences were reported by 5.1% (N = 2,584) of adults in the community. These experiences were associated with increased risk of attacking someone with the intent of hurting that person (Odds Ratio [OR] = 5.72), intimate partner violence (OR = 4.97), arrests for aggravated assault (OR = 5.12), and arrests for other assault (OR = 3.65). The risk of violence increased with the number of psychotic-like experiences. Unusual perceptual experiences and paranoid ideations were more consistently associated with violence. CONCLUSIONS: The link between psychopathology and interpersonal violence appears to expand beyond the limits of severe mental disorders and to include more common psychotic-like experiences in the general population.     

综合医院有自杀倾向的住院患者发生自杀行为的影响因素分析

目的描述综合医院具有自杀倾向患者的特征,并分析此类患者发生自杀行为的危险因素.方法回顾性连续纳入南方医科大学南方医院2012年10月至2017年10月的住院患者中具有自杀倾向的病例共680例,根据是否发生自杀行为分为自杀倾向组(有自杀倾向无自杀行为,527例)和自杀行为组(有自杀倾向亦有自杀行为,153例).收集他们的性别、年龄、婚姻状况、户籍、入院科室、自杀诱因、自杀方式、精神疾患、躯体疾患及显著的精神症状等资料.采用单因素分析比较两组间的社会人口学和临床特征差异,采用二分类Logistic回归分析研究自杀行为的危险因素.结果自杀倾向组主要为女性[66.6%(351例)]、已婚[77.4%(458例)]、心理科[74.4%(392例)]、抑郁症[66.2%(349例)].自杀行为组中,男性和女性的自杀方式差异有统计学意义(χ^2=12.489,P=0.014),选择跳楼方式的男性较多,药物及割脉方式的女性更多.Logistic回归分析结果表明,入住重症医学科(OR=7.844,95%CI:2.240~27.475,P=0.001)、婚恋受挫(OR=3.646,95%CI:1.217~10.917,P=0.021),肿瘤(OR=4.620,95%CI:1.552~13.755,P=0.006),双相情感障碍(OR=3.734,95%CI:1.157~12.052,P=0.028)是自杀行为的危险因素.结论具有自杀倾向的患者中,入住重症医学科、双相情感障碍、肿瘤、婚恋挫折是发生自杀行为的危险因素,而且两性的自杀方式有所不同,需要临床高度重视,并采取针对性预防措施.     

Crime victimization in adults with severe mental illness: comparison with the National Crime Victimization Survey

CONTEXT: Since deinstitutionalization, most persons with severe mental illness (SMI) now live in the community, where they are at great risk for crime victimization. OBJECTIVES: To determine the prevalence and incidence of crime victimization among persons with SMI by sex, race/ethnicity, and age, and to compare rates with general population data (the National Crime Victimization Survey), controlling for income and demographic differences between the samples. DESIGN: Epidemiologic study of persons in treatment. Independent master's-level clinical research interviewers administered the National Crime Victimization Survey to randomly selected patients sampled from 16 randomly selected mental health agencies. SETTING: Sixteen agencies providing outpatient, day, and residential treatment to persons with SMI in Chicago, Ill. PARTICIPANTS: Randomly selected, stratified sample of 936 patients aged 18 or older (483 men, 453 women) who were African American (n = 329), non-Hispanic white (n = 321), Hispanic (n = 270), or other race/ethnicity (n = 22). The comparison group comprised 32 449 participants in the National Crime Victimization Survey. MAIN OUTCOME MEASURE: National Crime Victimization Survey, developed by the Bureau of Justice Statistics. RESULTS: More than one quarter of persons with SMI had been victims of a violent crime in the past year, a rate more than 11 times higher than the general population rates even after controlling for demographic differences between the 2 samples (P<.001). The annual incidence of violent crime in the SMI sample (168.2 incidents per 1000 persons) is more than 4 times higher than the general population rates (39.9 incidents per 1000 persons) (P<.001). Depending on the type of violent crime (rape/sexual assault, robbery, assault, and their subcategories), prevalence was 6 to 23 times greater among persons with SMI than among the general population. CONCLUSIONS: Crime victimization is a major public health problem among persons with SMI who are treated in the community. We recommend directions for future research, propose modifications in public policy, and suggest how the mental health system can respond to reduce victimization and its consequences.     

广州市心理援助热线2008年-2019年未成年人自杀高危来电分析

目的分析广州市心理援助热线2008年-2019年未成年人自杀高危来电情况及特征,为预防未成年人自杀提供资料。方法对广州市心理援助热线2008年-2019年的3219例未成年人来电进行回顾性研究。对未成年人自杀高危来电数量随年份变化的趋势进行描述,并对未成年人自杀高危来电者的一般人口学信息、咨询问题和情绪状态进行分析。结果未成年人高危来电在同期高危来电中的占比呈线性上升趋势(Kendall's tau-b=0.150,P<0.01)。未成年人自杀高危组和非高危组在性别(χ2=52.97,P<0.01)、所在地区(χ2=13.22,P=0.004)、是否为学生(χ2=20.48,P<0.01)、受教育程度(χ2=23.20,P<0.01)、咨询问题(χ2=215.17,P<0.01)、情绪状态(χ2=357.69,P<0.01)等方面差异均有统计学意义。多因素非条件Logistic回归分析结果显示,女性(OR=1.33,95%CI:1.07~1.66)、咨询问题为恋爱与婚姻(OR=3.04,95%CI:1.08~8.57)、家庭矛盾(OR=4.44,95%CI:1.79~11.02)、工作与学习(OR=3.19,95%CI:1.23~8.27)、心理健康(OR=8.18,95%CI:3.57~18.47)、精神疾病(OR=14.90,95%CI:6.43~34.54)的未成年人是自杀高危来电者。结论性别、咨询问题和情绪状态是未成年人自杀高危来电的影响因素。