农村青少年不同时期家庭逆境与精神病理症状的关联

目的探讨家庭逆境致精神病理症状结局的累积性与关键期效应,为预防与干预逆境伤害提供依据。方法2017年12月,采用方便抽样的方法选取安徽省阜阳地区2所农村学校的710名青少年。采用《童年期不良经历问卷》评估家庭逆境,《MacArthur健康与行为问卷》评价内化症状和外化症状。采用多元线性回归分析家庭逆境发生时间与数量和精神病理症状的关联。结果持续家庭逆境组与内化症状、外化症状增加均有相关性[β值(95%CI)分别为0.35(0.15~0.54),0.16(0.01~0.32)]。家庭逆境数量为2和≥3与内化症状[β值(95%CI)分别为0.20(0.04~0.36),0.42(0.24~0.60)]、外化症状[β值(95%CI)分别为0.14(0.01~0.26),0.23(0.09~0.37)]增加有关。在仅童年期家庭逆境中,家庭逆境数量为2和≥3的内化症状[β值(95%CI)分别为0.23(0.06~0.41),0.34(0.11~0.58)]、外化症状[β值(95%CI)分别为0.17(0.02~0.31),0.21(0.02~0.39)]的风险增高。在持续家庭逆境组中,逆境数量≥3与内化症状、外化症状相关[(β值(95%CI)分别为0.56(0.31~0.82),0.24(0.02~0.45)]。仅青春期家庭逆境与精神病理症状无关。结论家庭逆境的多次发生可增加精神病理症状风险,童年期可能是家庭逆境致精神病理症状的关键期。     

积极主动为贫困人口服务--上海市北站医院平价病房的案例调查

目的:对上海市一所国有民营医院的平价病房进行案例调查,了解运行状况、经验及存在问题。方法:相关人员访谈和现场观察。结果:该院设立了14张床位的平价病房,收治对象是低保户、特困户及经济困难的外来务工人员。对医保病人和自费病人设定不同的减免优惠方案,包括减免50.0%的床位费和10.0%的护理、检查、治疗及手术等劳务费用(药费除外)。以收治急性病为主,住院时间原则上不超过2周。出院病人总费用的实际减免率约为6.0%￣10.0%。结论:创办平价病房的方向应予肯定。是民营机构委托管理医院的一种公益性(非营利性)的表现,对其他公立医疗机构具有促进作用。     

石家庄地区汉族人群DIS80(pMCT118)位点VNTR基因频率分布调查

本文采用ＰＣＲ技术对石家庄地区２１６名无关个体ＤＩＳ８０（ｐＭＣＴ１１８）位点扩增片段长度多态性的等位基因频率进行调查。ＰＣＲ扩增产物采用聚丙烯酰胺凝胶电泳分型及溴化乙锭染色，共检出７０种基因型，２５个等位基因，其中以１８、２４、３０三个等位基因频率最高。将本文结果与日本人群在ＤＩＳ８０（ｐＭＣＴ１１８）位点多态性结果进行比较，石家庄地区汉族人群ＤＩＳ８０（ｐＭＣＴ１１８）位点基因频率分布符合ＨａｒｄｙＷｅｉｎｂｅｒｇ平衡定律，该位点非父排除率为０．７１，个体识别率为０．９，杂合度为０．８５。     

Mental health in the population approaching retirement age. Preliminary findings of the TURVA project

The present paper deals with a Finnish long-term prospective study, the objective of which is to shed light on adjustment to retirement and old age. In this phase, only the preliminary findings of the initial survey carried out in 1982 are available. For the purposes of the study, a random sample of 200 individuals was drawn from among Turku inhabitants born in 1920. Another sample, consisting of 189 persons of the same age, was drawn from rural municipalities in the neighborhood of Turku. An extensive structured psychosocial interview could be conducted with a total of 339 subjects. The research methods used included e.g. the 36-item version of Goldberg's General Health Questionnaire (GHQ). Relatively little mental disturbance was revealed in the interview, and no major differences occurred between the urban and the rural sample. Somewhat over one-third of both samples were probable psychiatric cases as defined according to the GHQ.     

The role of Self-Defined Race/Ethnicity in Population Structure Control

Population-based association studies are powerful tools for the genetic mapping of complex diseases. However, this method is sensitive to potential confounding by population structure. While statistical methods that use genetic markers to detect and control for population structure have been the focus of current literature, the utility of self-defined race/ethnicity in controlling for population structure has been controversial. In this study of 1334 individuals, who self-identified as either African American, European American or Hispanic, we demonstrated that when the true underlying genetic structure and the self-defined racial/ethnic groups were roughly in agreement with each other, the self-defined race/ethnicity information was useful in the control of population structure.     

Fisher information matrix for nonlinear mixed effects multiple response models: Evaluation of the appropriateness of the first order linearization using a pharmacokinetic/pharmacodynamic model

We focus on the Fisher information matrix used for design evaluation and optimization in nonlinear mixed effects multiple response models. We evaluate the appropriateness of its expression computed by linearization as proposed for a single response model. Using a pharmacokinetic–pharmacodynamic (PKPD) example, we first compare the computation of the Fisher information matrix with approximation to one derived from the observed matrix on a large simulation using the stochastic approximation expectation–maximization algorithm (SAEM). The expression of the Fisher information matrix for multiple responses is also evaluated by comparison with the empirical information obtained through a replicated simulation study using the first‐order linearization estimation methods implemented in the NONMEM software (first‐order (FO), first‐order conditional estimate (FOCE)) and the SAEM algorithm in the MONOLIX software. The predicted errors given by the approximated information matrix are close to those given by the information matrix obtained without linearization using SAEM and to the empirical ones obtained with FOCE and SAEM. The simulation study also illustrates the accuracy of both FOCE and SAEM estimation algorithms when jointly modelling multiple responses and the major limitations of the FO method. This study highlights the appropriateness of the approximated Fisher information matrix for multiple responses, which is implemented in PFIM 3.0, an extension of the R function PFIM dedicated to design evaluation and optimization. It also emphasizes the use of this computing tool for designing population multiple response studies, as for instance in PKPD studies or in PK studies including the modelling of the PK of a drug and its active metabolite. Copyright © 2009 John Wiley & Sons, Ltd.