Income inequality,welfare regimes and aggregate health: Review of reviews

Wide income inequality in a society has been associated with worse aggregate health. Regarding the relationship, often termed as ‘the Wilkinson Hypothesis’, a number of empirical findings and related systematic reviews have reached inconsistent conclusions. In addition, the Scandinavian welfare regime is expected to have better aggregate health indicators in comparison with the other welfare regimes. The expectation is largely based on the Wilkinson Hypothesis because the regime has relatively narrow income inequalities. Again, related empirical findings and systematic reviews have produced inconsistent conclusions. This article reports on two rounds of ‘review of reviews’ (RR) over six previous (systematic) review articles. The first round of RR found that the review articles reached divergent conclusions. The second round of RR over another set of three review articles also demonstrated that their conclusions did not reach a consensus. Neither the hypothesised Scandinavia's good health nor the Wilkinson Hypothesis was given solid empirical backing.     

Child care subsidy and child maltreatment

This study examined the relationship between receipt of child care subsidies and child maltreatment investigations in a sample of low‐income mothers in Illinois. We expected that receiving child care subsidies would have a protective effect on child maltreatment risk and therefore decrease the likelihood of child protective services investigations. Using structural equation modelling, we tested the direct and indirect paths of the receipt of child care subsidies to physical abuse or neglect. We found only direct effects of receiving child care subsidies on both physical abuse and neglect investigations. The findings suggest an important protective role of child care subsidies in the lives of low‐income families.     

Differences in Risky Sexual Behavior According to Sexual Orientation in Korean Adolescents

Adolescents in sexual minority groups are known to be at risk of contracting sexually transmitted diseases through risky sexual behavior. However, few studies have examined associations between sexual orientation and risky sexual behavior and sexually transmitted diseases in Korean adolescents. Therefore, this cross-sectional study used raw data from the Tenth Korea Youth Risk Behavior Web-Based Survey to explore these relationships. Logistic regression analyses were performed to examine the associations between risky sexual behavior and sexual orientation in adolescents. The participants were 6,884 adolescents who provided data regarding demographic characteristics, sexual orientation, and risky sexual behavior. The proportions of homosexual and bisexual subjects who used condoms, engaged in sexual intercourse after drinking alcohol, and experienced sexually transmitted diseases were higher relative to those of heterosexual subjects. Associations between homosexuality and bisexuality and sexually transmitted diseases and engagement in sexual intercourse after drinking remained after multivariate adjustment. Interventions to prevent risky sexual behavior should target sexual orientation, to improve sexual health and prevent sexually transmitted disease in homosexual and bisexual adolescents.     

Statistical methods for handling missing data to align with treatment policy strategy

The International Council for Harmonization (ICH) E9(R1) addendum recommends choosing an appropriate estimand based on the study objectives in advance of trial design. One defining attribute of an estimand is the intercurrent event, specifically what is considered an intercurrent event and how it should be handled. The primary objective of a clinical study is usually to assess a product's effectiveness and safety based on the planned treatment regimen instead of the actual treatment received. The estimand using the treatment policy strategy, which collects and analyzes data regardless of the occurrence of intercurrent events, is usually utilized. In this article, we explain how missing data can be handled using the treatment policy strategy from the authors' viewpoint in connection with antihyperglycemic product development programs. The article discusses five statistical methods to impute missing data occurring after intercurrent events. All five methods are applied within the framework of the treatment policy strategy. The article compares the five methods via Markov Chain Monte Carlo simulations and showcases how three of these five methods have been applied to estimate the treatment effects published in the labels for three antihyperglycemic agents currently on the market.     

The Bullwhip Effect—Impact of Stochastic Lead Time,Information Quality,and Information Sharing: A Simulation Study

We use a simulation model called ‘SISCO’ to examine the effects in supply chains of stochastic lead times and of information sharing and quality of that information in a periodic order‐up‐to level inventory system. We test the accuracy of the simulation by verifying the results in Chen et al. (2000a) and Dejonckheere et al. (2004). We find that lead‐time variability exacerbates variance amplification in a supply chain, and that information sharing and information quality are highly significant. For example, using the assumptions in Chen et al. (2000a) and Dejonckheere et al. (2004), we find in a numerical experiment of a customer‐retailer‐wholesaler‐distributor‐factory supply chain that variance amplification is attenuated by nearly 50 percent at the factory due to information sharing. Other assumptions we make are based on interviews or conversations with managers at large supply chains.     

中、韩企业投资税收扶持制度的比较

企业投资左右着一个国家经济的成长。现在,韩国企业的国内投资明显减少已成为迫在眉睫的问题。本文将以影响企业(设备)投资的各种因素中的税收和税收扶持制度为中心进行研究。本文认为,虽然税收和税收扶持制度不是企业在决定投资地点时的重要因素,但分析在日趋白热化的东北亚地区的竞争中,韩国和中国的税收和税收扶持制度在投资时所起的作用却也不无意义。     

A Latent Class Analysis of Factors Associated with Levels of Aggression among Low-Income African American Youth in Chicago

Abstract

African American youth are often stereotyped as being more aggressive than and experience more severe negative social sanctions relative to their European American peers. This cross-sectional study assessed self-reported levels of aggression among a sample of 538 low-income African American youth in Chicago, and employed latent class analysis to determine groups of aggression. Major study findings showed low, middle high aggression group. The largest number of youth fell within the low aggression group. Social factors (e.g., low student-teacher connectedness, high risky peer norms, neighborhood violence, and family conflict) were associated with inclusion in the high aggression group. Intrapersonal factors (e.g., depression, anxiety, post-traumatic stress disorder) were associated with inclusion in the middle aggression group. Future longitudinal research should examine what factors are associated with movement across aggression groups and capitalize upon knowledge gained in the current study to develop interventions.     

Dynamic and Marketing Capabilities as Predictors of Social Enterprises’ Performance

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - Social enterprises (SEs) have an increasingly important role in developing more equitable societies worldwide. The...     

Risk Factors for Problematic Gambling: A Critical Literature Review

This article is a critical review of risk factors for pathological gambling categorized by demographics, physiological and biological factors, cognitive distortions, comorbidity and concurrent symptoms, and personality symptoms and characteristics. There is also a varia section (availability, parents playing, sensory characteristics, schedules of reinforcement, age of onset, and playing duration). The review found very few well established risk factors for pathological gambling (i.e. more than two studies to support the conclusions). Well established risk factors included demographic variables (age, gender), cognitive distortions (erroneous perceptions, illusion of control), sensory characteristics, schedules of reinforcement, comorbid disorders (OCD, drug abuse), and delinquency/illegal acts. An understanding of risk factors for pathological gambling should enhance prevention and treatment approaches.