Random Acts of Violence? Examining Probabilistic Independence of the Temporal Distribution of Mass Killing Events in the United States.

Recent mass killings, such as those in Newtown, Connecticut, and Aurora, Colorado, have brought new attention to mass killings in the United States. This article examines 323 mass killings taking place between January 1, 2006, and October 4, 2016, to assess how they are distributed over time. In particular, we find that they appear to be uniformly distributed over time, which suggests that their rate has remained stable over the past decade. Moreover, analysis of subsets of these mass killings sharing a common trait (e.g., family killings, public killings) suggests that they exhibit a memoryless property, suggesting that mass killing events within each category are random in the sense that the occurrence of a mass killing event does not signal whether another mass killing event is imminent. However, the same memoryless property is not found when combining all mass killings into a single analysis, consistent with earlier research that found evidence of a contagion effect among mass killing events. Because of the temporal randomness of public mass killings and the wide geographic area over which they can occur, these results imply that these events may be best addressed by systemic infrastructure-based interventions that deter such events, incorporate resiliency into the response system, or impede such events until law enforcement can respond when they do occur.

What Is Driving Obesity? A Review on the Connections Between Obesity and Motorized Transportation.

PURPOSE OF REVIEW: Traveling by automobile rather than walking or cycling can encourage obesity by eliminating physical activity. As national obesity rates in the USA have reached 37.9% in 2014, understanding the connections between obesity and transportation choices can help policymakers in the public health community propose effective obesity interventions at the national level. RECENT FINDINGS: Following from foundational studies examining associations between the built environment and leisure walking, recent studies consider a diverse set of transportation choices regarding mode (e.g., automobile, walking, public transit) and purpose (e.g., commuting, leisure), along with studies on the effectiveness of several transportation-related interventions for obesity. The reviewed studies point toward potential interventions for obesity; there is emerging evidence that commuting by public transit may be one such intervention. Moreover, new data-gathering tools such as global positioning systems, geographic information systems, and accelerometers may alleviate statistical obstacles in conducting future studies.

Analyzing the impact of public transit usage on obesity.

The objective of this paper is to estimate the impact of county-level public transit usage on obesity prevalence in the United States and assess the potential for public transit usage as an intervention for obesity. This study adopts an instrumental regression approach to implicitly control for potential selection bias due to possible differences in commuting preferences among obese and non-obese populations. United States health data from the 2009 Behavioral Risk Factor Surveillance System and transportation data from the 2009 National Household Travel Survey are aggregated and matched at the county level. County-level public transit accessibility and vehicle ownership rates are chosen as instrumental variables to implicitly control for unobservable commuting preferences. The results of this instrumental regression analysis suggest that a one percent increase in county population usage of public transit is associated with a 0.221 percent decrease in county population obesity prevalence at the α=0.01 statistical significance level, when commuting preferences, amount of non-travel physical activity, education level, health resource, and distribution of income are fixed. Hence, this study provides empirical support for the effectiveness of encouraging public transit usage as an intervention strategy for obesity.

Quantifying the association between obesity, automobile travel, and caloric intake.

OBJECTIVE: The objective of this study is to assess the association between average adult body mass index (BMI), automobile travel, and caloric intake in the US in order to predict future trends of adult obesity. METHODS: Annual BMI data (1984-2010) from the Behavioral Risk Factor Surveillance System (BRFSS), vehicle miles traveled data (1970-2009) from the Federal Highway Administration, licensed drivers data (1970-2009) from the Federal Highway Administration, and adult average daily caloric intake data (1970-2009) from the US Department of Agriculture were collected. A statistical model is proposed to capture multicollinearity across the independent variables. RESULTS: The proposed statistical model provides an estimate of changes in the average adult BMI associated with changes in automobile travel and caloric intake. According to this model, reducing daily automobile travel by one mile per driver would be associated with a 0.21 kg/m(2) reduction in the national average BMI after six years. Reducing daily caloric intake by 100 calories per person would be associated with a 0.16 kg/m(2) reduction in the national average BMI after three years. CONCLUSION: Making small changes in travel or diet choices may lead to comparable obesity interventions, implying that travel-based interventions may be as effective as dietary interventions.

The Phosphorylation Site Database: A guide to the serine-, threonine-, and/or tyrosine-phosphorylated proteins in prokaryotic organisms.

The Phosphorylation Site Database [http://vigen.biochem.vt.edu/xpd/xpd.htm] provides ready access to information from the primary scientific literature concerning those proteins from prokaryotic organisms, i.e., the members of the domains Archaea and Bacteria, that have been reported to undergo covalent phosphorylation on the hydroxyl side chains of serine, threonine, and/or tyrosine residues. Where known, the sequence of the site(s) of phosphorylation and the functional consequences of phosphorylation also are included. Active links enable users to quickly access further information concerning the phosphoprotein of interest from PubMed, GenBank, SWISS-PROT, and PIR.