Uneven effects of twenty years of Chile's cannabis policy implementation in cannabis onset.

BACKGROUND: In Chile, Laws 19366 and 20000, implemented in 1995 and 2005 respectively, regulated and sanctioned cannabis' personal use, cultivation and trafficking. METHODS: We use thirteen biannual cross-sectional national surveys data from 1994 to 2018 to examine the effect of Laws 19366 and 20000-using the rate of individuals incarcerated per 100000 population due to drug-related crimes as proxy-on the age of onset of cannabis use over time. We estimate the effect of these policies using a mixed proportional hazards framework that models the transition to first cannabis use in 47,832 individuals aged 12-21. RESULTS: Overall, changes in these laws did not affect the transition to first cannabis use. However, increases in the rate of individuals incarcerated were associated with decreases on the age of onset of cannabis use in females and individuals living in affluent neighborhoods or in specific regions. CONCLUSION: We find no evidence of cannabis policy changes affecting the age of onset of cannabis use across all individuals aged 12-21. Policy effects associated with decreases in cannabis onset age in females and individuals from affluent neighborhoods or specific regions can be explained by using theoretical frames that recognize specific dynamics of cannabis supply and demand.

Analyzing 14-years of suicide rates in Chile: Impact of alcohol policy, domestic violence, and a suicide prevention program.

Suicide is a major public health problem worldwide with far-reaching effects on families, communities, and societies. Influencing factors range from macro-level interventions like alcohol control policies and suicide prevention programs to individual contributors such as alcohol abuse and domestic violence. This study aimed to examine the relationship between Chile's suicide rate changes from 2002 to 2015 and the Alcohol Act of 2004, a national suicide prevention program implemented in 2007, alcohol abuse, and domestic violence. Assembling a unique longitudinal dataset from Chilean public institutions, the study employed an instrumental variable time-series cross-regional design. Results indicated that the Alcohol Act was not associated with suicide rates, domestic violence exhibited a significant association with increased suicide rates, and the national suicide prevention program was linked to reductions in suicide rates, especially among males. These findings align with research from neighbouring countries, showcasing the efficacy of suicide prevention programs in decreasing suicide rates in Chile. Results highlight the importance of integrating protocols to early-detect domestic violence in suicide prevention programs, as well as the need to further improving alcohol control policies to complement suicide prevention programs.

Dataset: Repeated and longitudinal measures database from 1994 to 2018 to assess Chile's substance use control policies for the 2000-2010 decade.

We developed a database to assess Chile's substance use control policies implemented in the 2000-10 decade. The database includes the measurement of consumption of substances such as alcohol, tobacco, and drugs (cannabis, cocaine, and "pasta base" (crack)), individual, relationships, and environmental factors related to substance use, and variables that measure the implementation of laws regulating its use. For the construction of the database, we used information from three sources: i) the biannual National Survey of Drug Consumption for the general population of the National Service of Prevention and Rehabilitation for Drug and alcohol consumption (SENDA) from the Chilean government, ii) the cases filed in local police courts by group of offenses from Chile's Ministry of Justice reports, and iii) the regional imprisoned population from Chile's Correctional Services reports. In the case of the first data source, a data curation process was established to construct this unique database from 1994 to 2018, identifying variables measured systematically over time, standardizing variables' operationalization, and adjusting responses to prespecified flows in each year. On the other hand, substance use control laws enacted in 2004 (alcohol), 2005 (drugs), and 2006 (tobacco) were operationalized as categorical and continuous variables as indicators of its implementation.

The Increasing Prevalence of Children Home Alone in Ghana: The Importance of Considering Regional Inequalities.

Research from industrialized settings has linked inadequate child supervision with various negative consequences. Nevertheless, empirical research in lower- and middle-income countries about correlates of inadequate child supervision has been scarce. The few studies that exist tended to focus on individual- and household-level factors, and reported associations that are not significant or in mixed directions depending on the context. Structural factors are left underexplored, but taking a more macro-level lens in settings with high regional disparities can hold the key to explaining increases in prevalence of inadequate child supervision. Exploring the evolution over time of child supervision practices can also enrich this explanation. We use data from two rounds of Ghana Multiple Indicator Cluster Surveys to examine factors associated with children left home alone, and employ regional analysis using strata-level mixed effects. We found that in Ghana, the prevalence of children left home alone without adult supervision increased by 8.5% between 2011 and 2018 - an increase of more than 500,000 children over seven years. Statistical analyses suggest that variation between regions likely are associated with the growth of inadequate child supervision in this country. Future research should pay closer attention to how structural conditions, proxied by regions, can serve as either barriers or facilitators to adequate child supervision practices, helping shed light on residual variance unexplained by individual- and household-level factors. Supplementary Information: The online version contains supplementary material available at 10.1007/s12187-023-10038-w.

The absence of data on driving under the influence of alcohol in road traffic studies: a scoping review of non-randomized studies with vote counting based on the direction of effects of alcohol policies.

BACKGROUND: Data on driving under the influence of alcohol (DUIA) are not always available, accurate, or reliable, making it difficult to study the effects of alcohol policies on road traffic outcomes. The objectives of our study were twofold: 1) to describe how road traffic outcomes of alcohol policies are assessed when DUIA data are missing, and 2) to explore the effects of alcohol policies when DUIA data are missing. METHODS: We conducted a scoping review of non-randomized studies that assessed the road traffic outcomes of alcohol policies when DUIA data are missing. Until November 2021, we searched studies published between 2000 and 2021, in English or French, via MEDLINE, APA PsycInfo, CINAHL, and SocINDEX. We assessed the risk of bias in the included studies with the Quality Assessment Tool for Before-After (Pre-Post) Studies With No Control Group. The selection process, data extraction, and the risk of bias assessment were conducted independently and in duplicate. We used vote counting based on the direction of the effects of alcohol policies as a synthesis method. The protocol for this review was published in PROSPERO under record number CRD42021266744. RESULTS: Twenty-four eligible studies were included. Regarding objective 1, most studies used uncontrolled interrupted time series designs to assess road traffic fatalities resulting from night-time crashes. The reasons for missing DUIA data were generally not reported. Regarding objective 2, we found evidence for an association between alcohol policies and decreased road traffic fatalities. Subgroup analyses found no evidence for an association between methodological modifiers and positive effect directions for road traffic fatalities. CONCLUSION: Caution is needed when interpreting road traffic outcomes associated with alcohol policies when DUIA data are missing. Greater efforts should be made to improve the reporting of outcomes assessments. Future studies must address several methodological issues (e.g., more granular data, well-defined intervention and implementation, and controlled designs). Our results should be compared to those from others reviews where DUIA data were available to confirm or recalibrate the associations found in studies where DUIA data were missing.

Did the cannabis recreational use law affect traffic crash outcomes in Toronto? Building evidence for the adequate number of authorised cannabis stores' thresholds.

INTRODUCTION: In the past decade, a group of studies has begun to explore the association between cannabis recreational use policies and traffic crashes. After these policies are set in place, several factors may affect cannabis consumption, including the number of cannabis stores (NCS) per capita. This study examines the association between the enactment of Canada's Cannabis Act (CCA) (18 October 2018) and the NCS (allowed to function from 1 April 2019) with traffic injuries in Toronto. METHODS: We explored the association of the CCA and the NCS with traffic crashes. We applied two methods: hybrid difference-in-difference (DID) and hybrid-fuzzy DID. We used generalised linear models using CCA and the NCS per capita as the main variables of interest. We adjusted for precipitation, temperature and snow. Information is gathered from Toronto Police Service, Alcohol and Gaming Commission of Ontario, and Environment Canada. The period of analysis was from 1 January 2016 to 31 December 2019. RESULTS: Regardless of the outcome, neither the CCA nor the NCS is associated with concomitant changes in the outcomes. In hybrid DID models, the CCA is associated with non-significant decreases of 9% (incidence rate ratio 0.91, 95% confidence interval 0.74,1.11) in traffic crashes and in the hybrid-fuzzy DID models, the NCS are associated with nonsignificant decreases of 3% (95% confidence interval - 9%, 4%) in the same outcome. DISCUSSION AND CONCLUSIONS: This study observes that more research is needed to better understand the short-term effects (April to December 2019) of NCS in Toronto on road safety outcomes.

Birth, Expansion, and Contestation of Alcohol Per Se Laws: A Global Data Set of Policies Regulating Driving Under the Influence of Alcohol.

OBJECTIVE: More than 270,000 people across the world die every year from alcohol-related crashes. Introducing alcohol per se laws (APL) based on a blood alcohol concentration (BAC) threshold of .05% could save at least 16,000 lives annually. Nevertheless, little is known about the evolution of APL adoptions at this BAC threshold. This study organizes the available data to chart the evolution of APLs across 183 countries from 1936 to 2021. METHOD: A review to identify relevant policies involved (a) probing multiple data sources, including legislation archives, international and national reports, and peer-review articles; and (b) an iterative record search and screening by two independent researchers, data collection, and expert consultations. RESULTS: Data for 183 countries were organized and integrated to form a new global data set. A global diffusion process framework describes the evolution of APLs based on the data set. In the first period of analysis (1936-1968), APLs emerged in Nordic countries as well as in England, Australia, and the United States. APLs then spread to other parts of continental Europe and to Canada. By 2021, more than 140 countries had adopted an APL with a BAC threshold of at least .05%. CONCLUSIONS: The present study offers a methodology for tracing alcohol-related policies from a cross-national and historic perspective. Future studies could integrate other variables into this data set to chart the speed of adoption of APLs and to test how changes in APLs correlate with alcohol-related crashes over time between and within jurisdictions.

A new alcohol-related traffic law, a further reduction in traffic fatalities? Analyzing the case of Turkey.

BACKGROUND: In June 2013, an alcohol-related traffic law took effect in Turkey. The law 6487 introduced administrative fines for not respecting blood alcohol concentration limits, health warning messages on alcohol containers (bottles, cans), and prohibited the sale of alcohol beverages in retail facilities between 10 p.m. and 6 a.m.. This article examines how this law is associated with traffic fatality variation. METHODS: Data from the Turkish Statistical Institute for the 2008-2019 period were analyzed. Outcomes were traffic fatality rates per 100,000 population and 10,000 motor vehicles. Exposure variable was the presence of law 6487. Alcohol, tobacco, and related beverages' household expenditure, unemployment rate, number of health professionals, number of crashes, and lags of the outcomes represented control variables. A time-series cross-regional fixed effect model was applied. RESULTS: Empirical estimates suggest that the law 6487 was associated with a reduction of 15% (Incidence Rate Ratio (IRR) 0.85, 95% Confidence Interval (CI): 082, 0.94) in the traffic fatality per population rate and with a reduction of 14% (IRR: 0.86 (95% CI: 0.78, 0.92) in the traffic fatality per motor-vehicle rate. After 6 years of its implementation, this intervention was associated with an absolute reduction of 1519 (95% reduction interval: 1177, 1810) traffic fatalities. CONCLUSIONS: Our research emphasizes that legislation with direct and indirect measures targeting driving under the influence of alcohol (DUIA) may be related to traffic fatalities reduction. PRACTICAL APPLICATIONS: This finding has important implications for policy and future research in contexts in which alcohol consumption is low such is in Turkey. Future research should seek to identify mechanisms that explain how laws are ultimately associated with DUIA variation.

COVID-19 and European carcerality: Do national prison policies converge when faced with a pandemic?

The article analyses an original dataset on policies adopted in 47 European countries between December 2019 and June 2020 to prevent coronavirus from spreading to prisons, applying event-history analysis. We answer two questions: 1) Do European countries adopt similar policies when tackling the COVID-19 pandemic in prisons? 2) What factors are associated with prison policy convergence or divergence? We analyze two policies we identified as common responses across prisons around the world: limitations on visitation rights for prisoners, and early releases of prisoners. We found that all states in our sample implemented bans on visits, showing policy convergence. Fewer countries (16) opted for early releases. Compared to the banning of visitation, early releases took longer to enact. We found that countries with prison overcrowding problems were quicker to release or pardon prisoners. When prisons were not overcrowded, countries with higher proportions of local nationals in their prisons were much faster to limit visits relative to prisons in which the foreign population was high. This research broadens our comparative understanding of European carcerality by moving the comparative line further East, taking into account multi-level governance of penality, and analyzing variables that emphasize the 'society' element of the 'punishment and society' nexus.

Estimate of the magnitude of risky and protective behaviors associated with road traffic injuries in capitals participating in the Life in Traffic Project of Brazil.

BACKGROUND: Brazil occupies the fifth position in the ranking of the highest mortality rates due to RTI in the world. With the objective of promoting traffic safety and consequently reducing deaths, Brazil created the Life in Traffic Project (LTP). The main goal of LTP is reducing 50% of RTI deaths, by promoting interventions to tackle risk factors, such as driving under the influence of alcohol and excessive and/or inappropriate speed. Thus, the aim of this study was to estimate the magnitude of risky and protective factors for RTI in capitals participating in the LTP in Brazil. We estimated these factors according to sociodemographic (age group, sex, education, race and, type of road user). METHODS: A total of 5,922 car drivers and motorcyclists from 14 Brazilian capitals participating in the LTP were interviewed. Data collection was carried out in sobriety checkpoints at night and consisted of the administration of an interview and a breathalyzer test. Risky and protective behaviors associated with RTI were investigated. Covariates of the study were: age, sex, education, race and, type of road user. Poisson multiple regression analysis was used to assess the relationship between variables of interest. RESULTS: The prevalence of individuals with positive blood alcohol concentration (BAC) was 6.3% and who reported driving after drinking alcohol in the last 30 days was 9.1%. The others risky behaviors reported were: driving at excessive speed on roads of 50 km/h, using a cell phone for calls while driving, using a cell phone to send or read calls while driving, running a red light. Use of seatbelts and helmets showed prevalence above 96,0% Use of seatbelts showed prevalence of 98.6% among car drivers, and helmet use was described by 96.6% of motorcycle drivers. Most risky behaviors were more prevalent in younger age groups (except BAC measurement higher in older participants), in males (except for cell phone use), in participants with higher education level and without a driver's license. CONCLUSION: Excessive speed and driving under the influence of alcohol, defined as priorities within the LTP, need more consistent interventions, as they still have considerable prevalence in the cities investigated. The factors described such as cell phone usage and passing red traffic lights should also need to be prioritized as a focus on promoting traffic safety.

Investigating the Risk Factors Associated with Injury Severity in Pedestrian Crashes in Santiago, Chile.

Pedestrians are vulnerable road users that are directly exposed to road traffic crashes with high odds of resulting in serious injuries and fatalities. Therefore, there is a critical need to identify the risk factors associated with injury severity in pedestrian crashes to promote safe and friendly walking environments for pedestrians. This study investigates the risk factors related to pedestrian, crash, and built environment characteristics that contribute to different injury severity levels in pedestrian crashes in Santiago, Chile from a spatial and statistical perspective. First, a GIS kernel density technique was used to identify spatial clusters with high concentrations of pedestrian crash fatalities and severe injuries. Subsequently, partial proportional odds models were developed using the crash dataset for the whole city and the identified spatial clusters to examine and compare the risk factors that significantly affect pedestrian crash injury severity. The model results reveal higher increases in the fatality probability within the spatial clusters for statistically significant contributing factors related to drunk driving, traffic signage disobedience, and imprudence of the pedestrian. The findings may be utilized in the development and implementation of effective public policies and preventive measures to help improve pedestrian safety in Santiago.

The Impact of Cannabis Decriminalization and Legalization on Road Safety Outcomes: A Systematic Review.

INTRODUCTION: There is substantial debate concerning the impact of cannabis decriminalization and legalization on road safety outcomes. METHODS: Seven databases were systematically searched: Embase, MEDLINE, and PsycINFO through Ovid as well as Web of Science Core Collection, SafetyLit, Criminal Justice Database (ProQuest), and Transport Research International Documentation (from inception to June 16, 2021). Eligible primary studies examined group-level cannabis decriminalization or legalization and a road safety outcome in any population. RESULTS: A total of 65 reports of 64 observational studies were eligible, including 39 that applied a quasi-experimental design. Studies examined recreational cannabis legalization (n=50), medical cannabis legalization (n=22), and cannabis decriminalization (n=5). All studies except 1 used data from the U.S. or Canada. Studies found mixed impacts of legalization on attitudes, beliefs, and self-reported driving under the influence. Medical legalization, recreational legalization, and decriminalization were associated with increases in positive cannabis tests among drivers. Few studies examined impacts on alcohol or other drug use, although findings suggested a decrease in positive alcohol tests among drivers associated with medical legalization. Medical legalization was associated with reductions in fatal motor-vehicle collisions, whereas recreational legalization was conversely associated with increases in fatal collisions. DISCUSSION: Increased cannabis positivity may reflect changes in cannabis use; however, it does not in itself indicate increased impaired driving. Subgroups impacted by medical and recreational legalization, respectively, likely explain opposing findings for fatal collisions. More research is needed concerning cannabis decriminalization; the impacts of decriminalization and legalization on nonfatal injuries, alcohol and other drugs; and the mechanisms by which legalization impacts road safety outcomes.

Structural gender inequalities and symptoms of postpartum depression in 40 countries.

BACKGROUND: The role of structural gender inequality in macro-level differences in women's perinatal mental health remains largely unexplored. This short communication explores structural gender inequalities and their potential as a macro-level, upstream social determinant of postpartum depression (PPD). METHODS: We compiled meta-analytically derived national-level prevalence estimates of PPD symptoms - based on the Edinburgh Postnatal Depression Scale - with economic (e.g., income inequality), health (e.g., infant mortality rate), sociodemographic (e.g., urban population), and structural gender inequality variables (e.g., abortion policies) for 40 countries. Meta-regression techniques and traditional p-value based stepwise procedures, complemented with a Bayesian model averaging approach, were used for a robust selection of variables associated with national-level PPD symptom prevalence. RESULTS: Income inequality (ß = 0.04, 95% CI = 0.02 to 0.07) and abortion policies (ß = 0.02, 95% CI = 0.00 to 0.03) were the only variables selected in the final, adjusted model, accounting for 60.7% of cross-national variations in PPD symptoms. LIMITATIONS: Study quality of primary studies was not assessed and some national-level meta-analytical estimates were based on few primary studies. A fifth of world countries and territories could be included, with high-income regions overrepresented. High rate of missing national-level data for potential predictors of PPD. Cross-sectional analyses precludes causal inferences. CONCLUSIONS: Abortion policies are a significant macro-level social determinant of PPD, and its liberalization might be associated with women's mental health at a population level. Our findings should be a relevant argument for clinicians to advocate for changing discriminatory social norms against women.

Differential impacts of ridesharing on alcohol-related crashes by socioeconomic municipalities: rate of technology adoption matters.

BACKGROUND: An emergent group of studies have examined the extent under which ridesharing may decrease alcohol-related crashes in countries such as United States, United Kingdom, Brazil, and Chile. Virtually all existent studies have assumed that ridesharing is equally distributed across socioeconomic groups, potentially masking differences across them. We contribute to this literature by studying how socioeconomic status at the municipal level impacts Uber's effect on alcohol-related crashes. METHODS: We use data provided by Chile's Road Safety Commission considering all alcohol-related crashes, and fatal and severe alcohol-related injuries that occurred between January 2013 and September 2013 (before Uber) and January and September 2014 (with Uber) in Santiago. We first apply spatial autocorrelation techniques to examine the level of spatial dependence between the location of alcohol-related crashes with and without Uber. We then apply random-effects meta-analysis to obtain risk ratios of alcohol-related crashes by considering socioeconomic municipality differences before and after the introduction of Uber. RESULTS: In both analyses, we find that the first 9 months of Uber in Santiago is associated with significant rate ratio decreases (RR = 0.71 [95% Confidence Interval (C.I.) 0.56, 0.89]) in high socioeconomic municipalities in all alcohol-related crashes and null (RR = 1.10 [95% C.I. 0.97, 1.23]) increases in low socioeconomic municipalities. No concomitant associations were observed in fatal alcohol-related crashes regardless of the socioeconomic municipality group. CONCLUSIONS: One interpretation for the decline in alcohol-related crashes in high socioeconomic municipalities is that Uber may be a substitute form of transport for those individuals who have access to credit cards, and thus, could afford to pay for this service at the time they have consumed alcohol. Slight increases of alcohol-related crashes in low socioeconomic municipalities should be studied further since this could be related to different phenomena such as increases in alcohol sales and consumption, less access to the provision of public transport services in these jurisdictions, or biases in police reports.

The risks of warm nights and wet days in the context of climate change: assessing road safety outcomes in Boston, USA and Santo Domingo, Dominican Republic.

BACKGROUND: There remains a dearth of cross-city comparisons on the impact of climate change through extreme temperature and precipitation events on road safety. We examined trends in traffic fatalities, injuries and property damage associated with high temperatures and heavy rains in Boston (USA) and Santo Domingo (Dominican Republic). METHODS: Official publicly available data on daily traffic outcomes and weather conditions during the warm season (May to September) were used for Boston (2002-2015) and Santo Domingo (2013-2017). Daily maximum temperatures and mean precipitations for each city were considered for classifying hot days, warm days, and warm nights, and wet, very wet, and extremely wet days. Time-series analyses were used to assess the relationship between temperature and precipitation and daily traffic outcomes, using a quasi-Poisson regression. RESULTS: In Santo Domingo, the presence of a warm night increased traffic fatalities with a rate ratio (RR) of 1.31 (95% CI [confidence interval]: 1.00,1.71). In Boston, precipitation factors (particularly, extremely wet days) were associated with increments in traffic injuries (RR 1.25, 95% CI: 1.18, 1.32) and property damages (RR 1.42, 95% CI: 1.33, 1.51). CONCLUSION: During the warm season, mixed associations between weather conditions and traffic outcomes were found across Santo Domingo and Boston. In Boston, increases in heavy precipitation events were associated with higher traffic injuries and property damage. As climate change-related heavy precipitation events are projected to increase in the USA, the associations found in this study should be of interest for road safety planning in a rapidly changing environment.

The global viralization of policies to contain the spreading of the COVID-19 pandemic: Analyses of school closures and first reported cases.

BACKGROUND: On January 30th 2020, the World Health Organization (WHO) declared a international health emergency due to the unprecedented phenomenon of COVID-19. After this declaration countries swiftly implemented a variety of health policies. In this work we examine how rapid countries responded to this pandemic using two events: the day in which the first case of COVID-19 was reported, and first day in which countries used school closure as one of the measures to avoid outbreaks. We also assessed how countries' health systems, globalization, economic development, political systems, and economic integration to China, Republic of Korea and Italy increased the speed of adoption. METHODS: We compiled information from multiple sources, from December 31st 2019 to June 1st 2020, to trace when 172 countries reported their first COVID-19 case and implemented school closure to contain outbreaks. We applied cross-national Weibull survival analysis to evaluate the global speed of detection of first COVID-19 reported cases and school closure. RESULTS: Ten days after WHO declared COVID-19 to be an international emergency, relative to seven days from this declaration, countries were 28 (95% CI: 12-77) times more likely to report first COVID-19 cases and 42 (95% CI: 22-90) times more likely to close schools. One standard deviation increase in the epidemic security index rises the rate of report first cases by 37% (Hazard Ratio (HR) 1.37 (95% CI: 1.09-1.72) and delays the adoption for school closures by 36% (HR 0.64 (95% CI:0.50-0.82). One standard deviation increase in the globalization index augments the adoption for school closures by 74% (HR 1.74 (95% CI:1.34-2.24). CONCLUSION: After the WHO declared a global emergency, countries were unprecedently acting very rapidly. While countries more globally integrated were swifter in closing schools, countries with better designed health systems to tackle epidemics were slower in adopting it. More studies are needed to assess how the speed of school closures and other policies will affect the development of the pandemic.

Green, Brown, and Gray: Associations between Different Measurements of Land Patterns and Depression among Nursing Students in El Paso, Texas.

BACKGROUND: While greenness has been associated with lower depression, the generalizability of this association in arid landscapes remains undetermined. We assessed the association between depression and residential greenness, but also brownness and grayness among nursing students living in El Paso, Texas (the Chihuahuan desert). METHODS: Depression was measured with the Patient Health Questionnaire-9 scale and greenness with the normalized difference vegetation index across three buffer sizes (i.e., 250, 500, and 1000 m). Using data from the National Land Cover Database, two additional measures of land patterns were analyzed: grayness and brownness. Structural equation models were used to assess the relationships of these land patterns to depression and quantify the indirect effects of peer alienation. RESULTS: After adjusting for individual characteristics, at buffers 250 m, greenness was not associated with a decrease in the Incidence Rate Ratios (IRR) of depression (IRR, 0.51; 95% CI, 0.12-2.10); however, grayness and brownness were respectively associated with increases by 64% (IRR, 1.64; 95% CI, 1.07-2.52) and decreases by 35% (IRR, 0.65; 95% CI, 0.42-0.99). At buffer 250 m, peer alienation explained 17.43% (95% CI, -1.79-36.66) of the association between depression and brownness, suggesting a pathway to depression. CONCLUSIONS: We did not observe an association between depression and residential greenness in El Paso, Texas. However, we did observe a protective association between brownness and depression and an adverse association with grayness. These results have theoretical implications as they were based on commonly used frameworks in this literature, and adverse association of brownness (and the lack of greenness) and depression was expected.

Solid fuel use and early child development disparities in Ghana: analyses by gender and urbanicity.

In Ghana, more than 77% of the population depends on biomass fuels for cooking. Previous studies show that solid fuel use (SFU) has adverse effects on pregnancy and child health outcomes. Yet, no previous study considered potential effects on early child development indicators (ECDI), nor how SFU effects may vary by gender, and rural and urban areas. We investigated the associations of SFU with ECDI measures, and whether these associations exhibited sex and urban/rural differences. We used the 2011-2012 Ghana's Multiple Indicator Cluster Surveys-UNICEF (N = 3326 children; 3-4 years). We derived a binary ECDI measure reflecting whether the child is developmentally on track or not from a caregiver-report of ten yes/no/do not know questions designed specifically to assess four domains of early child development: learning-cognition, literacy-numeracy, socio-emotional, and physical. We used multilevel Poisson regressions adjusting for neighborhood, household, mother, and child's characteristics to estimate covariate-adjusted prevalence ratios (PRs) of the associations between SFU and ECDI and its four dimensions. We run stratified analyses and used z-score tests of differences to evaluate effect modification by sex and urbanicity. Overall, 85% of children were exposed to SFU and 28% of children were not developmentally on track. After adjustment for confounders, children exposed to SFU were more likely to be not developmentally on track in comparison with nonexposed children (PR = 1.16; 95% confidence interval, [95% CI]: 1.10,1.22). These associations were stronger in girls (PR = 1.36; 95% CI: 1.03,1.79) in comparison with boys (PR = 0.87; 95% CI: 0.73,1.04). No difference in associations was observed between urban and rural children. Overall, these associations were mainly driven by the literacy-numeracy dimension. In this study, we show that SFU was associated with developmental delays in Ghanaian girls. Policy efforts which tackle SFU should be mindful of gender disparities in susceptibility to indoor pollution.

Can a new emergency response system reduce traffic fatalities? The case of the 911-emergency response system in the Dominican Republic.

BACKGROUND: In May 2014, the Dominican Republic introduced the 911-emergency response system (ERS) in Santo Domingo. Before its introduction, more than 40 phone numbers were available to report emergencies. The objective of this work is to assess whether this new emergency response system was effective in reducing traffic fatalities. METHODS: Weekly numbers of traffic fatalities per population and per vehicle fleet from January 2013 to December 2015 were obtained from the Ministry of Health and the National Institute of Statistics. A hybrid time-series difference-in-difference analysis using multivariable negative binomial regression models were used to compare trends in rates of traffic fatalities in Santo Domingo to La Romana and Santiago, before and after the introduction of the 911-ERS. RESULTS: Estimates from negative binomial models suggest that the introduction of the 911-ERS in Santo Domingo relative to Santiago-La Romana was associated with a 17% reduction in the Incidence Rate Ratio (IRR) of traffic fatalities per 1 000 000 population (IRR = 0.83, 95% confidence interval [CI]: 0.67; 1.03) and with a 20% reduction in the IRR of weekly traffic fatalities per 1 000 000 vehicle fleet (IRR = 0.80, 95% CI:0.67; 0.99). DISCUSSION: Our findings suggest that transitioning from multiple to one unique emergency phone number should be considered more attentively. Furthermore, the case of the Dominican Republic calls for more theoretical and methodological research to understand how to assess these road safety policies more accurately. Since various studies suggest that 911-ERS mature in the long run, how these systems evolve over time and other related variables should be carefully considered.

Do Election Laws Restricting Public Road Publicity Reduce Road Traffic Crashes and Their Consequences?

BACKGROUND: In April 2016, Chile enacted the Law 20,900, which restricted electoral publicity on public roads. It established two important regulations: first, candidates were allowed, 30 days before any election, to publicize their campaigns in specific street locations. Second, roadside publicity must follow strict size standards to avoid visual contamination. This article examines the impact of this regulation in reducing road traffic crashes. METHODS: We obtained a number of traffic injuries and fatalities per population from public records. A time-series difference-in-difference study, using generalized linear models with an interaction between time-period and intervention, compared a municipal election period before the introduction of Law 20,900 (2012) to the first municipal election affected by the law (2016). We adjusted for precipitation and temperature, and applied models to three cities: Santiago, Gran-Valparaíso, and Concepción. We assessed the overall impact of the intervention using random effects meta-analyses. RESULTS: The law was associated with a decrease of 0.01 (95% confidence interval [CI]: -0.02, -0.00) in Santiago, a decrease of 0.01 (95% CI: -0.03, -0.00) in Valparaíso and an increase of 0.09 (95% CI: 0.06, 0.13) in Concepción, in all daily injuries and fatalities per 100,000 population. After 40 days of its implementation, the intervention was associated with a mild absolute reduction of 34 (95% reduction interval: -270, 67) traffic injuries and fatalities. CONCLUSIONS: This study estimates that the regulation of public road publicity had an overall mild effect on reducing traffic injuries and fatalities in three large cities in Chile.