Translating cross-lagged effects into incidence rates and risk ratios: The case of psychosocial safety climate and depression

Longitudinal studies are the gold standard of empirical work and stress research whenever experiments are not plausible. Frequently, scales are used to assess risk factors and their consequences, and cross-lagged effects are estimated to determine possible risks. Methods to translate cross-lagged effects into risk ratios to facilitate risk assessment do not yet exist, which creates a divide between psychological and epidemiological work stress research. The aim of the present paper is to demonstrate how cross-lagged effects can be used to assess the risk ratio of different levels of psychosocial safety climate (PSC) in organisations, an important psychosocial risk for the development of depression. We used available longitudinal evidence from the Australian Workplace Barometer (N?=?1905) to estimate cross-lagged effects of PSC on depression. We applied continuous time modelling to obtain time-scalable cross effects. These were further investigated in a 4-year Monte Carlo simulation, which translated them into 4-year incident rates. Incident rates were determined by relying on clinically relevant 2-year periods of depression. We suggest a critical value of PSC?=?26 (corresponding to ?1.4 SD), which is indicative of more than 100% increased incidents of persistent depressive disorder in 4-year periods compared to average levels of PSC across 4 years.     

A New Methodology for Before–After Safety Assessment Using Survival Analysis and Longitudinal Data

The widely used empirical Bayes (EB) and full Bayes (FB) methods for before–after safety assessment are sometimes limited because of the extensive data needs from additional reference sites. To address this issue, this study proposes a novel before–after safety evaluation methodology based on survival analysis and longitudinal data as an alternative to the EB/FB method. A Bayesian survival analysis (SARE) model with a random effect term to address the unobserved heterogeneity across sites is developed. The proposed survival analysis method is validated through a simulation study before its application. Subsequently, the SARE model is developed in a case study to evaluate the safety effectiveness of a recent red‐light‐running photo enforcement program in New Jersey. As demonstrated in the simulation and the case study, the survival analysis can provide valid estimates using only data from treated sites, and thus its results will not be affected by the selection of defective or insufficient reference sites. In addition, the proposed approach can take into account the censored data generated due to the transition from the before period to the after period, which has not been previously explored in the literature. Using individual crashes as units of analysis, survival analysis can incorporate longitudinal covariates such as the traffic volume and weather variation, and thus can explicitly account for the potential temporal heterogeneity.     

Comprehensive neighbourhood mapping: developing a powerful tool for child protection

This paper proposes ‘comprehensive neighbourhood mapping’ as a schema for gathering and interpreting information within a given geographical area which is informed by imaginative thinking about the safety of children and young people from sexual crime. It would build upon current forms of profiling by local authorities, health authorities and central Government. CNM would actively involve local people, in partnership with agencies, in ‘mapping’ danger points and support points. Eight components are discussed, including environmental issues, locations of sex offenders, sites where teenagers meet and share information, supportive individuals and organizations. Some issues for pilot projects are discussed, including the need to set up planning and implementation groups and to integrate CNM into wider child protection and community safety strategies. CNM is grounded in an ecological perspective which sees partnership approaches as essential and believes an overarching view of neighbourhood needs, based on detailed local information and understanding of how different forms of harm interconnect, is crucial in developing child protection strategies. At times of acute official anxiety about community ‘lynch‐mob’ reactions to known paedophiles, CNM aims to build communities which instead are informed and thoughtful about child protection. Copyright © 2002 John Wiley & Sons, Ltd.     

试析我国房地产投资运作模式及其发展

随着我国房地产市场由卖方市场逐渐过渡到买方市场,房地产投资运作模式由作坊生产式投资模式逐渐向社会化大生产式投资模式椎进。     

更高层次的迈进——企业相对社会责任的实现

相对社会责任的承担与实现,对企业自身和社会都具有重大意义,但由于缺乏机制的制约和策略的应用,其实现是困难的。正确处理企业利益与社会责任的关系,促使更多企业从履行绝对社会责任,上升到追求更高层次社会责任的实现,一方面需要外在环境的保障,另一方面要求企业在履行社会责任时,注意策略选择。     

近代资本主义生产生活方式对中国传统慈善事业的影响——以北京为例

以交通、通讯、新闻舆论等为典型代表的近代西方资本主义生产与生活方式传入中国后，它们或便利救济物资的调配，或加速救助对象的区域流动，或监督与制约救济事务的运转，或宣传与流播新型慈善思想等，从整体上对中国传统慈善活动的近代转型发挥强大的刺激与推动作用。     

城市公众安全文化教育的方法与思路——兼议北京2008“安全奥运文化”普及问题

通过对安全文化发展演变历史的简单回眸,探讨了适用于城市安全减灾的安全文化教育的模式及方法,尤其从文化建设层面上研究了应用安全文化建设方法的特点。作为最现实的应用,还就2008年北京“安全奥运”的系统化建设提出了“安全奥运文化”普及教育的思路。     

新形势下农资价格大幅上涨对“三农”的影响分析

文章首先以湖北省襄樊市的调研数据为依据对此次农资价格整体变动情况作了说明，紧接着对本轮农资价格大幅上涨的深层次原因、趋势及其对“三农”的影响作了深入剖析。结果表明，农资生产原料价格的迅猛上涨是此次农资价格上涨的导火索与根本推动力量，农资上涨基本上冲销了中央一系列惠农政策带给农民的实惠，使农民的种粮积极性遭受很大挫伤。最后从放开价格、加强宏观调控、改变补贴方式、健全营销网络、完善储备制度、加强市场监管及监测等方面提出政策建议。     

评鲍德里亚的"消费社会理论"

鲍德里亚系统提出了"消费社会"的理论。他企图对唯物史观进行"颠覆"是错误的。但是不能简单地认为他是资本主义制度的辩护士。鲍德里亚不懂得马克思从根本上颠覆了国民经济学和唯心主义历史观的两种"幻象",从而奠定了生产和劳动对于人类社会存在与发展的基础性地位;不懂得消费与生产的现实辩证关系,片面地离开生产探讨消费的新特征,甚至主张用消费取代生产。消费异化是劳动异化的表现。技术救赎不可能解决当代人类面临的重大社会问题。     

团队生产、计量难题与企业的性质

阿尔奇安和德姆塞茨(1972)从团队生产引发的“计量难题”及其解决机制的角度来解释企业的性质。本文在概述该企业理论的概念框架的基础上,指出了该理论存在的一个缺陷,即它忽视了企业的监督者-剩余索取者和其他成员之间的利益冲突及其解决机制。