The Physical Inactivity Matrix: Lessons from the classification of physical inactivity interventions

Physical inactivity (PI), a leading modifiable cause of disease and injury, is endemic in industrialised nations. Although considerable research has been undertaken in this field, we lack a system to synthesise the research literature to inform policy and identify research needs. The aims of this study were to (1) develop a system to classify physical inactivity intervention studies, (2) examine the distribution of PI interventions published in the peer-reviewed health literature using the system, and (3) consider implications for future research. We developed the Physical Inactivity Matrix (PIM), with 12 intervention points, created by the intersection of two dimensions: the intervention target (individual, physical environment and social/cultural environment) and the activity focus (transport, work/school, leisure and consumer). A formal search of the health research literature identified 529 eligible studies and each was classified into one of the 12 cells of the PIM. Most studies were categorised as: individual-leisure (68%), individual-work/school (12%) or social/cultural environment-leisure (13%). Only 4% targeted the physical environment. The findings of this initial application of the PIM support the call for greater investment in policies, interventions and research that focus on the relationship between the environment and PI, and transportation in particular. There would be merit in establishing the inter-rater reliability of the PIM and applying it to a wider variety of studies, including those published in the transportation and urban planning literatures. The PIM could be a useful tool for monitoring trends in research directions and funding levels over time and across countries.     

瞄准前沿以人为本全面提升医院的综合竞争力

介绍了医院创新工作思路和瞄准国际前沿,高起点培训专业技术人才,全面提升医院综合竞争力的主要做法及取得的成效.     

Statistical characterisation of bacterial wild-type MIC value distributions and the determination of epidemiological cut-off values

MIC distribution data were obtained from a variety of international sources, and pooled after selection by a defined criterion. Sixty-seven of these datasets were subjected to a range of statistical goodness-of-fit tests. The log-normal distribution was selected for subsequent modelling. Cumulative counts of MIC distribution data were fitted to the cumulative log-normal distribution using non-linear least squares regression for a range of data subsets from each antibiotic-bacterium combination. Estimated parameters in the regression were the number of isolates in the subset, and (the log(2) values of) the mean and standard deviation. Optimum fits for the cumulative log-normal curve were then used to determine the wild-type MIC range, determined by calculating the MICs associated with the lower and upper 0.1% of the distribution, rounding to the nearest two-fold dilution, and calculating the probabilities of values higher and lower than these values. When plotted logarithmically, histograms of MIC frequencies appeared normal (Gaussian), but standard goodness-of-fit tests showed that the two-fold dilution grouping of MICs fits poorly to a log-normal distribution, whereas non-linear regression gave good fits to population (histogram) log-normal distributions of log(2) MIC frequencies, and even better fits to log-normal cumulative distributions. Optimum fits were found when the difference between the estimated and true number of isolates in the fitted subset was minimal. Sixteen antibiotic-bacterium datasets were fitted using this technique, and the log(2) values of the means and standard deviations were used to determine the 0.1% and 99.9% wild-type cut-off values. When rounded to the nearest two-fold dilution, > or = 98.5% of MIC values fall within the cut-off value range. Non-linear regression fitting to a cumulative log-normal distribution is a novel and effective method for modelling MIC distributions and quantifying wild-type MIC ranges.     

人心肌肌钙蛋白I第2和第4个密码子同义突变对其在大肠埃希菌中表达的影响

目的 对人心肌肌钙蛋白I（cTnI）基因实行定点突变并进行原核表达，观察此突变对cTnI表达量的影响。方法 利用RT-PCR方法从人心肌细胞的总RNA中克隆出编码人心肌肌钙蛋白I的cDNA片段，设计引物将其第2和第4个密码子突变后插入原核表达载体形成重组体，并导人宿主菌BL21（DE3）中，经IPTG诱导表达，Ni-NTA树脂纯化后行Western blot鉴定，观察突变对cTnI表达的影响。结果 突变后的cTnI基因与对照组相比在大肠埃希菌中得到高效表达，经纯化可获得电泳单点纯的cTnI蛋白。结论 成功克隆了cTnI基因，所设计的同义突变可促进cTnI在大肠埃希菌中的高效表达。     

试尖对根管充填质量影响的研究

目的：了解试尖对侧向加压法根管充填质量的影响因素。方法：随机提取我院1998年10月至2004年12月所完成的根管充填病例的X线片1000例，按试尖与未试尖，分别对前牙、前磨牙和磨牙根管充填质量进行分析。结果：在482例未试尖根管充填病例中，前牙、前磨牙和磨牙的适充比例分别为46％、37％和23％，欠充为20％、29％和47％。超充为34％、33％和29％：在518例试尖病例中，前牙、前磨牙和磨牙的适充比例分别为68％、62％和51％，欠充为6％、12％和13％，超充为25％、24％和36％。结论：在侧向加压法根管充填中，试尖可明显改善充填质量。     

磁珠耳穴贴压治疗偏头痛临床观察

目的比较磁珠耳穴贴压治疗与服用西药治疗偏头痛的疗效差异。方法将偏头痛患者200例随机分为磁珠耳穴贴压组（观察组）和西药组（对照组）,比较其对头部疼痛改善情况。结果观察组总有效率94.6%,明显优于对照组的78.6%（P〈0.01）。结论磁珠耳穴贴压治疗偏头痛疗效肯定,总有效率优于西药治疗。     

新生儿医院感染原因探讨及干预对策

目的：分析新生儿医院感染相关危险因素及干预对策.方法：通过对榆林市第一医院2006年5月至2010年5月收治的1428例住院新生儿医院感染发生情况.结果：新生儿患者医院感染率从2006年5月至2008年5月的3.20%,下降到2008年5月至2010年5月的1.99%.结论：对新生儿室医疗护理工作中各种医院感染相关危险因素采取相应的干预对策后,新生儿患者的医院感染率明显降低,提高了医疗护理质量.     

基于薄板样条和形状内容的医学图像非刚性配准方法研究

目的 针对医学图像非刚性点配准的现状,给出一种基于点特征的非刚性配准方法.方法 利用一种新的相似度测量方法--形状内容来解决两幅图像中点的对应关系,并利用点对应关系来估计非刚性映射函数.结果 利用薄板样条实现了医学图像的快速准确非刚性配准.结论 实验结果表明,上述方法获得了很好的配准效果.     

福建省消除碘缺乏病综合干预策略与措施的研究

目的探讨福建省消除碘缺乏病的综合干预策略与措施。方法实施以盐田废转、目标人群健康教育和健康促进为主要干预措施的综合干预方法。结果实现了以省为单位消除碘缺乏病的目标：在项目的实施期间，福清市、同安区、华安县、石狮市、晋江市、平和县等项目县达到消除碘缺乏病标准；项目地区居民合格碘盐食用率大幅度提高；全省碘盐销量从1997年的9．8万吨提高到2005年的16．65万吨。结论消除碘缺乏病综合干预项目有力促进了福建省消除碘缺乏病的进程，提高了居民合格碘盐的食用率。     

虚拟现实互动技术在交叉韧带等长重建计算机辅助设计中的应用

目的 利用虚拟现实技术还原膝关节骨性结构在屈伸运动过程中的三维空间形态，为观测膝关节面交叉韧带附丽区的相对位置变化和进一步研究前、后交叉韧带等长重建最佳等长点提供计算机辅助设计新方法。方法 采用实验与计算机仿真相结合的方法，对新鲜人体膝关节标本进行屈伸运动实验，并通过激光三维扫描方法记录、计算膝关节的空间活动指标，然后重建膝关节计算机三维模型。通过实验中的空间活动指标控制此模型虚拟运动，再现膝关节各屈伸角度下股骨、胫骨和腓骨的空间位置。结果 计算机还原出各运动角度下膝关节骨性结构（股骨、胫骨及关节面）的空间形态，利用软件Geomagic的几何计算功能可分别测量模型中各个运动状态交叉韧带附丽区两点间的三维空间距离。讨论本研究方法可以真实地记录和再现膝关节三维运动过程，从空间结构上更精确、合理地寻找重建等长点，对膝关节交叉韧带手术重建有重要临床意义。