Economic development as a determinant of injury mortality - a longitudinal approach

The role of effective factors on suicidal tendency of women in Turkey

Background/Aim

This study aims to identify the variables that influence the suicidal tendency of women who are married, have had a relationship or are currently in a relationship in Turkey.

Methods

This study uses cross-sectional data from the 2014 Hacettepe University Institute of Population Studies National Research on Domestic Violence Against Women in Turkey. Data from 6,458 women between the ages of 15 and 49 were analyzed in this dataset. Binary logistic regression was used to determine the factors influencing women's suicidal tendencies.

Results

Based on the analysis's findings, age, education level, health status, number of children, the sector in which the spouse/partner works, the drinking status of the spouse/partner, the situation where the spouse/partner fights with another man in a way that involves physical violence, the cheating status of the spouse/partner, the controlling behaviour of the spouse/partner, exposure to various types of violence by both the spouse/partner and someone other than the partner, and the household income level variables were found to be associated with the suicidal tendency of women.

Conclusion

Prioritizing women who are, in particular, between the ages of 15 and 24, live in the south of Turkey, have a high school education, are in poor health, are childless, have low household incomes, live with an unemployed spouse or partner, and are exposed to various forms of violence from their partner or other sources can be achieved more effective results in reducing and preventing women's suicidal behaviors.

The Association between Comorbidities and Comorbid Injuries on Treatment Outcome in Pediatric and Elderly Patients with Injuries in Korea: An Observational Study

We aimed to compare the characteristics and types of injuries affecting pediatric and elderly patients and to identify factors associated with treatment outcomes. We used data from the 2006−2017 Korea National Hospital Discharge Survey. The patients were divided into two groups, children (0−12 years) and elderly (≥65 years), based on their age at discharge. In total, 47,528 (11,842 children and 35,686 older adults) patients with injuries were identified. The number of deaths and the LOS were 36 (0.3%) and 7.6 days (±10.1), respectively, in the children group, and 861 (2.4%) and 18.5 days (±27.3), respectively, in the elderly group (p < 0.001). In the children group, there were increased odds for surgery among boys, Medicaid and health insurance subscribers, patients with multiple injuries, patients without a subdiagnosis, and an increasing number of hospital beds. In the elderly group, there were increased odds for surgery among women, Medicaid and health insurance subscribers, patients who died, patients with a single injury, patients with a subdiagnosis, and increasing numbers of hospital beds. Treatment outcomes could be improved by providing early diagnosis and prompt treatment in pediatric patients and by taking multilateral approaches for multiple injuries and comorbidities in elderly patients.

Socioeconomic and environmental contexts of suicidal rates in a latitudinal gradient: Understanding interactions to inform public health interventions

Suicide results from complex interactions between biological, psychological, and socioeconomic factors. At the population level, the study of suicide rates and their environmental and social determinants allows us to disentangle some of these complexities and provides support for policy design and preventive actions. In this study we aim to evaluate the associations between environmental and socioeconomic factors and demographically stratified suicide rates on large temporal and spatial scales. Our dataset contains information about yearly suicides rates by sex and age from 2000 through 2017 along a 4000 km latitudinal gradient. We used zero-inflated negative binomial models to evaluate the spatio-temporal influence of each environmental and socioeconomic variable on suicide rates at each sex/age combination. Overall, we found differential patterns of associations between suicide rates and explanatory variables by age and sex. Suicide rates in men increases in middle and high latitude regions and intermediate age classes. For adolescent and adult women, we found a similar pattern with an increase in suicide rates at middle and high latitudes. Sex differences measured by the male/female suicide ratio shows a marked increase with age. We found that cloudiness has a positive effect on suicide rates in both men and women 24 years old or younger. Regional poverty shows a major impact on men in age classes above 35 years old, an effect that was absent in women. Alcohol and marijuana consumption showed no significant effect sizes. Our findings support high spatio-temporal variability in suicide rates in interaction with extrinsic factors. Several strong differential impacts of environmental and socioeconomic variables on suicide rates depending on sex and age were detected. These results suggest that the design of public policies and interventions to reduce suicide prevalence need to consider the local social and environmental contexts of target populations.

Analysis of the Correlation between Occupational Accidents and Economic Factors in China

One of the important factors affecting the production safety of a country or region is the level of economic development. Avoiding accidents under the condition of ensuring economic development is a problem that needs in-depth research. On the basis of collecting the data of occupational accidents and economic development indicators in China from 2000 to 2020, this paper studies the relationship between occupational accidents and five economic indicators, such as resident consumption, energy consumption, education funds, wage level and research input. The grey working accident model of Gaussian function is established, the occurrence trend of occupational accidents is quantitatively analyzed, and the accident reduction measures are suggested based on the relationship between accidents and economy. The results show that there is a strong correlation between accident and economic indicators, and the comprehensive correlation coefficient among scientific research investment, education funds and accident indicators is significantly higher than that of other economic indicators. Increasing investment in scientific research and education is conducive to improving the quality of workers and training safety professionals and can effectively reduce workplace accidents.

Fertility, economic development, and suicides among women in India

PURPOSE

Indian states at greater levels of economic development report more suicides. This relation appears stronger among women relative to men. We test the hypothesis, suggested in the literature, that conflict between rapid economic growth and inadequate female autonomy (approximated using total fertility rate) varies positively with female suicides.

METHODS

We used state-level data on female suicides for all 35 Indian states and union territories, from 2001 to 2011, from the National Crime Records Bureau. We specified, as our outcome, age-adjusted female suicides per 100,000 population per state-year. We retrieved data on key covariates, namely, gross state domestic product (GSDP) per capita, total fertility rate (TFR), and other control variables from multiple national surveys and publicly available data sources. We examined whether and to what extent age-adjusted female suicides (per 100,000 population) correspond with total fertility rate (lower TFR indicates greater female autonomy and vice versa) within the context of greater economic development (GSDP per capita). Linear longitudinal mixed effect regressions controlled for state-specific random intercepts, son preference (male:female sex ratio at birth), literacy gap (percentage difference between literate males and females), access to health systems (institutional deliveries), female to male employment ratio, and linear time trends.

RESULTS

At constant levels of GSDP per capita, a one unit decline in TFR corresponds with 0.27 fewer female suicides per 100,000 population (P value = 0.008). Sensitivity tests indicate that this relation does not hold for male age-adjusted suicides (per 100,000 population).

CONCLUSION

Our findings, if replicated, indicate that at constant levels of economic development, lower TFR (indicating greater female autonomy) may reduce suicide risk among women.

Analysis of the Characteristics of Fatal Accidents in the Construction Industry in China Based on Statistical Data

Background: Construction activities not only provide the necessary conditions for citizens to live, but also cause fatal accidents. Methods: This study aimed to reveal the characteristics of fatal accidents in the construction industry in China based on statistical data. From 2010 to 2019, there were 6005 fatal accidents in China’s construction industry causing 7275 deaths. The important features of these fatal accidents, such as the type, time of occurrence, site location, severity, and geographical region of the accident, were carefully analyzed. Results: There were 258 major and severe construction accidents causing 1037 deaths, accounting for 4.3% and 14.25% of the total number of construction accidents and deaths in this period, respectively. As an important finding, more deaths occurred in August and on Mondays. The greatest number of construction accidents took place along openings and edges, accounting for 22.9% of all fatal accidents. Taking into account their economic development level and number of employees, Qinghai and Hainan experienced a higher mortality rate than Jiangsu. Falls from a high place were the dominant type of construction accident, accounting for 51.66% of all accidents. However, collapses were the primary type of major and severe construction accident, accounting for 60.09% of such accidents. The predicted number of construction deaths in 2020 is 887 according to the GM(1,1) model. Corresponding safety measures should be adopted to improve the working environment of the construction industry. Implications: The implications of these results with respect to the characteristics of construction accidents can be regarded as the foundation for accident prevention in practice.

Friendship Importance Around the World: Links to Cultural Factors, Health, and Well-Being

Prioritizing friendship is associated with many health and well-being benefits. However, to date, there have been relatively few studies that have examined cultural moderators of the link between friendship and important outcomes. In other words, is prioritizing friendships more beneficial in some contexts than others? In the current study, we examined how culture- and country-level factors were associated with the importance people place on friendships and the benefits derived from this importance. The sample comprised of 323,200 participants (M = 40.79 years, SD = 16.09 years) from 99 countries from the World Values Survey. Multilevel analyses revealed that women, people with higher levels of education, and people living in countries that are more economically equal and high in indulgence placed more value on friendships. Prioritizing friendships in life was associated with better health and well-being, but these associations depended on many cultural factors. The findings are discussed in the context of the ways in which friendships can enrich health and well-being across different settings.

Burden of injury along the development spectrum: associations between the Socio-demographic Index and disability-adjusted life year estimates from the Global Burden of Disease Study 2017

BACKGROUND

The epidemiological transition of non-communicable diseases replacing infectious diseases as the main contributors to disease burden has been well documented in global health literature. Less focus, however, has been given to the relationship between sociodemographic changes and injury. The aim of this study was to examine the association between disability-adjusted life years (DALYs) from injury for 195 countries and territories at different levels along the development spectrum between 1990 and 2017 based on the Global Burden of Disease (GBD) 2017 estimates.

METHODS

Injury mortality was estimated using the GBD mortality database, corrections for garbage coding and CODEm-the cause of death ensemble modelling tool. Morbidity estimation was based on surveys and inpatient and outpatient data sets for 30 cause-of-injury with 47 nature-of-injury categories each. The Socio-demographic Index (SDI) is a composite indicator that includes lagged income per capita, average educational attainment over age 15 years and total fertility rate.

RESULTS

For many causes of injury, age-standardised DALY rates declined with increasing SDI, although road injury, interpersonal violence and self-harm did not follow this pattern. Particularly for self-harm opposing patterns were observed in regions with similar SDI levels. For road injuries, this effect was less pronounced.

CONCLUSIONS

The overall global pattern is that of declining injury burden with increasing SDI. However, not all injuries follow this pattern, which suggests multiple underlying mechanisms influencing injury DALYs. There is a need for a detailed understanding of these patterns to help to inform national and global efforts to address injury-related health outcomes across the development spectrum.

Suicides in Greece before and during the period of austerity by sex and age group: Relationship to unemployment and economic variables

BACKGROUND

There is disagreement on the specific mechanism through which the economic recession increased suicides in Greece. Unemployment is considered by many authors to be the determining factor but the data are inconclusive and often negative, especially concerning the temporal relationship between onset of increase in unemployment and increase in suicides AIMS: The aim of this paper was to clarify the specific role of unemployment as well as of other socioeconomic variables on specific age-by-gender groups concerning the increase in suicides.

METHODS

Data of the Hellenic Statistical Authority ELSTAT (www.

STATISTICS

gr) were analyzed with Linear Regression Analysis and Bonferroni correction for multiple testing RESULTS: Unemployment correlates with suicide rates only in males aged 20-24, 50-54 and 60-64 years (p < 0.001). Unemployment could held responsible for an additional 148 male deaths during the period 2009-2015, which accounts for 5.3% of the total (29 additional deaths per year). The changes in all the socioeconomic conditions could held responsible for 317 cases of suicide or 9.4% of total CONCLUSIONS: The results of the current study suggest that there was a 33% increase in deaths by suicide in Greece during the early years of recession (2009-2015); one third could be directly attributed to unemployment, one third to other consequences of recession while another third is of unknown origin. The effect of unemployment is specifically restricted to males at the beginning of their working career (20-24 years old) and to middle aged (45-49 and 55-59 years old).

Mortality due to road injuries in the states of India: the Global Burden of Disease Study 1990-2017

Background

A systematic understanding of population-level trends in deaths due to road injuries at the subnational level over time for India's 1·4 billion people, by age, sex, and type of road user is not readily available; we aimed to fill this knowledge gap.

Methods

As part of the Global Burden of Diseases, Injuries, and Risk Factors Study, we estimated the rate of deaths due to road injuries in each state of India from 1990 to 2017 based on several verbal autopsy data sources. We calculated the number of deaths and death rate for road injuries by type of road user, and assessed the age and sex distribution of these deaths over time. Based on the trends of the age-standardised death rate from 1990 to 2017, we projected the age-standardised death rate to 2030 to assess if the states of India would meet the Sustainable Development Goal (SDG) target to halve the death rate for road injuries from 2015 by 2020 or 2030. We calculated 95% uncertainty intervals (UIs) for the point estimates.

Findings

In 2017, 218 876 deaths (95% UI 201 734 to 231 141) due to road injuries occurred in India, with an age-standardised death rate for road injuries of 17·2 deaths (15·7 to 18·1) per 100 000 population, which was much higher in males (25·7 deaths [23·5 to 27·4] per 100 000) than in females (8·5 deaths [7·2 to 9·1] per 100 000). The number of deaths due to road injuries in India increased by 58·7% (43·6 to 74·7) from 1990 to 2017, but the age-standardised death rate decreased slightly, by 9·2% (0·6 to 18·3). In 2017, pedestrians accounted for 76 729 (35·1%) of all deaths due to road injuries, motorcyclists accounted for 67 524 (30·9%), motor vehicle occupants accounted for 57 802 (26·4%), and cyclists accounted for 15 324 (7·0%). India had a higher age-standardised death rate for road injury among motorcyclists (4·9 deaths [3·9–5·4] per 100 000 population) and cyclists (1·2 deaths [0·9–1·4] per 100 000 population) than the global average. Road injury was the leading cause of death in males aged 15 to 39 years in India in 2017, and the second leading cause in this age group for both sexes combined. The overall age-standardised death rate for road injuries varied by up to 2·6 times between states in 2017. Wide variations were seen between the states in the percentage change in age-standardised death rate for road injuries from 1990 to 2017, ranging from a reduction of 38·2% (22·3 to 51·7) in Delhi to an increase of 17·0% (0·6 to 34·7) in Odisha. If the trends estimated up to 2017 were to continue, no state in India or India overall would achieve the SDG 2020 target in 2020 or even in 2030.

Interpretation

India's contribution to the global number of deaths due to road injuries is increasing, and the country is unlikely to meet the SDG targets if the trends up to 2017 continue. India needs to implement evidence-based road safety interventions, promote strong policies and traffic law enforcement, have better road and vehicle design, and improve care for road injuries at the state level to meet the SDG goal.

Funding

Bill & Melinda Gates Foundation and Indian Council of Medical Research, Department of Health Research, Ministry of Health and Family Welfare, Government of India.

Influence of Area-Level Characteristics on the Suicide Rate in Korean Adolescents

OBJECTIVE

We aimed to investigate the influence of area-level factors on adolescent suicide and to determine which variables differ according to age and sex.

METHODS

We selected variables that were available for collection through an online database from 2005 to 2015 in the Korean Statistical Information Service and the Korea Labor Institute. We used administrative districts of Korea in 2017 for geographical classification. We examined the relationships between regional suicide rates and area-level variables in male and female subjects aged 10-14 years and 15-19 years. In addition, we analyzed area-level variables in adolescents aged 15-19 years according to sex.

RESULTS

Our findings indicated that several area-level variables affected adolescent suicide rates, varying according to age and sex. Economic problems were shown to be more associated with suicide in male adolescents than in female adolescents. On the other hand, social fragmentation and health services were shown to be more associated with suicide in females.

CONCLUSION

Suicide in adolescents was attributable to area-level factors such as economic status, social fragmentation, and community health services. By identifying area-level variables affecting adolescent suicide rates, we will be able to contribute to implement mental health policies related to adolescent suicide.

Paper Versus Digital Data Collection for Road Safety Risk Factors: Reliability Comparative Analysis From Three Cities in Low- and Middle-Income Countries

Background

Rapid advances in mobile technologies and applications and the continued growth in digital network coverage have the potential to transform data collection in low- and middle-income countries. A common perception is that digital data collection (DDC) is faster and quickly adaptable.

Objective

The objective of this study was to test whether DDC is faster and more adaptable in a roadside environment. We conducted a reliability study comparing digital versus paper data collection in 3 cities in Ghana, Vietnam, and Indonesia observing road safety risk factors in real time.

Methods

Roadside observation of helmet use among motorcycle passengers, seat belt use among 4-wheeler passengers, and speeding was conducted in Accra, Ghana; Ho Chi Minh City (HCMC), Vietnam; and Bandung, Indonesia. Two independent data collection teams were deployed to the same sites on the same dates and times, one using a paper-based data collection tool and the other using a digital tool. All research assistants were trained on paper-based data collection and DDC. A head-to-head analysis was conducted to compare the volume of observations, as well as the prevalence of each risk factor. Correlations (r) for continuous variables and kappa for categorical variables are reported with their level of statistical significance.

Results

In Accra, there were 119 observation periods (90-min each) identical by date, time, and location during the helmet and seat belt use risk factor data collection and 118 identical periods observing speeding prevalence. In Bandung, there were 150 observation periods common to digital and paper data collection methods, whereas in HCMC, there were 77 matching observation periods for helmet use, 82 for seat belt use, and 84 for speeding. Data collectors using paper tools were more productive than their DDC counterparts during the study. The highest mean volume per session was recorded for speeding, with Bandung recording over 1000 vehicles on paper (paper: mean 1092 [SD 435]; digital: mean 807 [SD 261]); whereas the lowest volume per session was from HCMC for seat belts (paper: mean 52 [SD 28]; digital: mean 62 [SD 30]). Accra and Bandung showed good-to-high correlation for all 3 risk factors (r=0.52 to 0.96), with higher reliability in speeding and helmet use over seat belt use; HCMC showed high reliability for speeding (r=0.99) but lower reliability for helmet and seat belt use (r=0.08 to 0.32). The reported prevalence of risk factors was comparable in all cities regardless of the data collection method.

Conclusions

DDC was convenient and reliable during roadside observational data collection. There was some site-related variability in implementing DDC methods, and generally the productivity was higher using the more familiar paper-based method. Even with low correlations between digital and paper data collection methods, the overall reported population prevalence was similar for all risk factors.

Factors Associated With the Complexity of Facial Trauma

INTRODUCTION

Facial fractures have their incidence, etiology, clinical presentation, and features influenced by variables such as economic, cultural, and demographic factors. A large number of these fractures require simple or more complex approaches, and it becomes important to understand their clinical and epidemiological profile and factors associated with the fracture event and surgical indication.

OBJECTIVE

The objective of this research is to analyze the clinical and epidemiological profile of surgical fractures and their associations with causal factors such as alcohol consumption, day of the incident, and nonuse of helmet for motorcycle accidents.

METHOD

A retrospective study was conducted with collection of data from medical records of patients operated for facial fractures at the Hospital Regional of Cariri, state of Ceara, the Northeast of Brazil. Records from 2012 to 2014 were acquired highlighting sex, age, occupation, etiology, anatomical sites of fractures, and surgeries of varying complexities for single or multiple fractures. The day of the event, report or signs of alcohol consumption, and the use of helmets in motorcycle accidents were named associated factors.

RESULTS

As a result the authors had a total of 624 cases of surgical facial fractures. Out of these, 546 (87.5%) were male and the majority of them presented between 20 and 30 years of age (40.5%). It was also observed that as an etiological factor motorcycle accidents led to more cases of surgical facial fractures, with 357 cases (62.1%), followed by physical aggression with 72 cases (12.5%).

CONCLUSIONS

It can be concluded that there is a high prevalence of surgical facial fractures in male patients between 20 and 30 years of age, caused by motorcycle accidents, and that there was a strong association between the consumption of alcohol, failure to wear a helmet, and the presence of surgical facial multiple fractures.

Reducing road traffic deaths: where should we focus global health initiatives?

BACKGROUND

Current global surgery initiatives focus on increasing surgical workforce; however, it is unclear whether this approach would be helpful globally, as patients in low-resource countries may not be able to reach hospitals in a timely fashion without formal Emergency Medical Services (EMS). We hypothesize that increased surgical workforce correlates with decreased road traffic deaths (RTDs) only in countries with EMS.

METHODS

Estimated RTDs were obtained from the Global Status Report on Road Safety 2013, which estimated the RTD rate in 2010 (RTD 2010). The classification of EMS was defined by the Global Status Report on Road Safety 2009. The density of surgeons, anesthesiologists, and obstetricians (SAO density) and 2010 income classification were accessed from the World Bank. Multivariable regression analysis was performed adjusting for different countries, income levels, and trauma system characteristics. Sensitivity analysis was performed.

RESULTS

One-fourth of the countries reported not having formal EMS (n = 41, 23.4%). On adjusted analysis, SAO density was not associated with changes in RTD 2010 in countries without EMS (n = 25, P = 0.50). However, in countries with EMS, each increase in SAO density per 100,000 population decreased RTDs by 0.079 per 100,000 population (n = 97, P <0.001). Income was the only other factor resulting in reduced mortality rates (P = 0.004). Sensitivity analysis confirmed these findings.

CONCLUSIONS

Increases in surgical workforce reduce RTDs only when EMS exist. Surgical workforce and EMS must be seen as part of the same system and developed together to maximize their effect in reducing RTDs. Global health initiatives should be tailored to individual country need.

LEVEL OF EVIDENCE

Level II (Ecological study).

Ten-year evolution of suicide rates and economic indicators in large Brazilian urban centers

PURPOSE OF REVIEW

This was a retrospective ecological study to examine the relationship between suicide rates and economic indicators in large Brazilian urban centers. Data on macroeconomic indicators (GDP and unemployment rates) and suicide rates of the largest Brazilian cities were collected from January 2006 to December 2015.

RECENT FINDINGS

Six cities were included in the study: Porto Alegre in the South, Recife and Salvador in the Northeast, and Belo Horizonte, São Paulo and Rio de Janeiro in the Southeast region. We observed a 4% increase in the age-adjusted suicide rate in these large Brazilian urban centers from 2006 to 2015, which is less pronounced than the 9% increase in the national rates of suicide observed in the same period.

SUMMARY

The effect of economic indicators was heterogeneous among the centers, but, overall, the variation in suicide rates was inversely related to unemployment and did not show a significant relationship with GDP. These findings indicate a more complex link between economics and suicide whenever looking at local regional indicators. Further research should focus on possible intervening factors, what may inform better preventive interventions.

Prediction of mortality risk in victims of violent crimes

BACKGROUND

To predict mortality risk in victims of violent crimes based on individual injury diagnoses and other information available in health care registries.

METHODS

Data from the Swedish hospital discharge registry and the cause of death registry were combined to identify 15,000 hospitalisations or prehospital deaths related to violent crimes. The ability of patient characteristics, injury type and severity, and cause of injury to predict death was modelled using conventional, Lasso, or Bayesian logistic regression in a development dataset and evaluated in a validation dataset.

RESULTS

Of 14,470 injury events severe enough to cause death or hospitalization 3.7% (556) died before hospital admission and 0.5% (71) during the hospital stay. The majority (76%) of hospital survivors had minor injury severity and most (67%) were discharged from hospital within 1day. A multivariable model with age, sex, the ICD-10 based injury severity score (ICISS), cause of injury, and major injury region provided predictions with very good discrimination (C-index=0.99) and calibration. Adding information on major injury interactions further improved model performance. Modeling individual injury diagnoses did not improve predictions over the combined ICISS score.

CONCLUSIONS

Mortality risk after violent crimes can be accurately estimated using administrative data. The use of Bayesian regression models provides meaningful risk assessment with more straightforward interpretation of uncertainty of the prediction, potentially also on the individual level. This can aid estimation of incidence trends over time and comparisons of outcome of violent crimes for injury surveillance and in forensic medicine.

Demographic and regional characteristics of road traffic injury deaths in Jiangsu Province, China

Background

The study investigates the magnitude and distribution of fatal road traffic injuries (RTIs) in the Chinese province of Jiangsu by road user.

Method

The 13 694 RTI deaths and years of potential life lost (YPLL) that occurred in 2012 were analysed; vulnerable and non-vulnerable road users were considered separately. Age-adjusted mortality and YPLL were compiled and the association between demographic characteristics and RTI mortality rate was analysed using negative binomial regression.

Results

The age-adjusted RTI mortality and YPLL in Jiangsu in 2012 were 18.14 (95% CI: 17.84-18.45) and 494.3 (95% CI: 492.7-496.0) per 100 000 population. Half of the deaths were among pedestrians and for vulnerable road users as a whole, male fatalities were over three times that of female (adjusted incidence rate ratio = 3.26, 95% CI: 1.89-3.77). Fatalities in the oldest age group (80+ years) were over 14 times that of the youngest one (0-9 years) (adjusted incidence rate ratio = 14.13, 95% CI: 9.49-21.01). Fatality rates in the central and northern regions surpassed that of the south.

Conclusion

As in the rest of the country, RTIs are a considerable public health problem in Jiangsu where fatality and YPLL rates fall heavily on pedestrians, men, and older persons and are more pronounced in the less developed regions.

Demographic Factors Associated With Leading Causes of Injury Mortality in Ningbo, China: 2004-2013

Injuries have emerged as a crucial public health concern in China. Data were obtained from the death registry system in Ningbo during 2004-2013. Mortality rates resulting from all injuries and the 6 most common types of injuries were analyzed to identify time trends using linear regression models on both the absolute scale and log scale. A decreased male to female ratio and increasing age were observed among the total injury deaths. The annual all-injury mortality rates declined considerably during the observation period. Injury mortality rates for motor vehicle traffic crashes, drowning, and suicide all showed a deceasing trend; however, only mortality from falls showed an increasing trend. There was a sharp increasing trend among females, with a disproportionate number of falls. The injury patterns in Ningbo are mostly comparable to those in high-income countries. Appropriate preventive strategies should be urgently tailored to control this aggressive evolution in older individuals and females.

Poverty and suicide research in low- and middle-income countries: systematic mapping of literature published in English and a proposed research agenda

Approximately 75% of suicides occur in low- and middle-income countries (LMICs) where rates of poverty are high. Evidence suggests a relationship between economic variables and suicidal behaviour. To plan effective suicide prevention interventions in LMICs we need to understand the relationship between poverty and suicidal behaviour and how contextual factors may mediate this relationship. We conducted a systematic mapping of the English literature on poverty and suicidal behaviour in LMICs, to provide an overview of what is known about this topic, highlight gaps in literature, and consider the implications of current knowledge for research and policy. Eleven databases were searched using a combination of key words for suicidal ideation and behaviours, poverty and LMICs to identify articles published in English between January 2004 and April 2014. Narrative analysis was performed for the 84 studies meeting inclusion criteria. Most English studies in this area come from South Asia and Middle, East and North Africa, with a relative dearth of studies from countries in Sub-Saharan Africa. Most of the available evidence comes from upper middle-income countries; only 6% of studies come from low-income countries. Most studies focused on poverty measures such as unemployment and economic status, while neglecting dimensions such as debt, relative and absolute poverty, and support from welfare systems. Most studies are conducted within a risk-factor paradigm and employ descriptive statistics thus providing little insight into the nature of the relationship. More robust evidence is needed in this area, with theory-driven studies focussing on a wider range of poverty dimensions, and employing more sophisticated statistical methods.

The impact of road traffic injury in North India: a mixed-methods study protocol

BACKGROUND

Road traffic injuries are a large and growing public health burden, especially in low and middle income countries where 90% of the world's deaths due to road traffic injuries are estimated to occur. India is one of the fastest growing economies, with rapid motorisation and increasing road traffic burden. However, there are limited data addressing the problem of non-fatal road traffic injuries, with existing data being of poor quality, non-representative and difficult to access, and encompassing a limited number of relevant variables. This study aims to determine the outcomes of road traffic injuries on function and health-related quality of life, to assess their social impact and to weigh the economic cost of road traffic crashes in an urban setting in India.

METHODS AND ANALYSIS

This prospective observational study will recruit approximately 1500 participants injured in road traffic crashes, who are admitted to hospital for >24 h at any of three participating hospitals in Chandigarh, India. Face-to-face baseline interviews will be conducted by telephone at 1, 2, 4 and 12 months postinjury. Standardised tools will be used to collect data on health and social outcomes, and on the economic impact of road traffic crashes. Descriptive analysis and multivariate models will be used to report outcome data and associations. The qualitative in-depth interviews will be analysed thematically using content analysis. This study will provide the first comprehensive estimates on outcomes of serious road traffic injury in India, including economic and social costs, and the impact on individuals and families.

ETHICS AND DISSEMINATION

Primary ethics approval was received from the Postgraduate Institute for Medical Education and Research, institute's ethics committee, Chandigarh, India. Results will be disseminated via the usual scientific forums including peer-reviewed publications and presentations at international conferences.

Relationship of suicide rates to economic variables in Europe: 2000-2011

BACKGROUND

It is unclear whether there is a direct link between economic crises and changes in suicide rates.

AIMS

The Lopez-Ibor Foundation launched an initiative to study the possible impact of the economic crisis on European suicide rates.

METHOD

Data was gathered and analysed from 29 European countries and included the number of deaths by suicide in men and women, the unemployment rate, the gross domestic product (GDP) per capita, the annual economic growth rate and inflation.

RESULTS

There was a strong correlation between suicide rates and all economic indices except GPD per capita in men but only a correlation with unemployment in women. However, the increase in suicide rates occurred several months before the economic crisis emerged.

CONCLUSIONS

Overall, this study confirms a general relationship between the economic environment and suicide rates; however, it does not support there being a clear causal relationship between the current economic crisis and an increase in the suicide rate.

BRICS: opportunities to improve road safety

Brazil, the Russian Federation, India, China and South Africa--the countries known as BRICS--are currently undergoing a deep epidemiological transition that is mainly driven by rapid economic growth and technological change. The changes being observed in the distribution of the burden of diseases and injuries--such as recent increases in the incidence of road traffic injuries--are matters of concern. BRICS may need stronger institutional capacity to address such changes in a timely way. In this paper, we present data on road traffic injuries in BRICS and illustrate the enormous challenge that these countries currently face in reducing the incidence of such injuries. There is an urgent need to improve road safety indicators in every country constituting BRICS. It is imperative for BRICS to invest in system-wide road safety interventions and reduce the mortality and morbidity from road traffic injuries.

Suicide rates in China from 2002 to 2011: an update

PURPOSES

The aims of this study were: (1) to present the time trend of suicide rate among people aged 15 or above in China over the period 2002-2011 and (2) to examine the current profile of completed suicides during 2009-2011.

METHODS

Data on suicide rate in 2002-2011 were provided by the Chinese Ministry of Health (MOH). The trends of region-, gender-, and age-specific suicide rates were examined using Poisson regression models. The mean number of completed suicides for each cohort during 2009-2011 was calculated and a mean national suicide rate was estimated.

FINDINGS

The overall suicide rate decreased significantly over the past decade, but rates in young males and rural older adults did not reduce and in fact increased among older adults in both urban and rural areas towards the end of the study period. For 2009-2011, 44 % of all suicides occurred among those aged 65 or above and 79 % among rural residents. The estimated mean national suicide rate was 9.8 per 100,000 and was slightly higher for males than females.

CONCLUSION

The benefits of economic growth, such as higher employment and more educational opportunities for the rural population in particular, may have contributed to the reduced suicide rate in China. However, the recent rapid changes in socioeconomic conditions could have increased stress levels and resulted in more suicides, especially among the elderly. Despite the significant reduction reported here, the latest figures suggest the declining trend is reversing. It will be important to continue monitoring the situation and to examine how urbanization and economic changes affect the well-being of 1.3 billion Chinese.

Technological innovation and its effect on public health in the United States

Background

Good public health ensures an efficient work force. Organizations can ensure a prominent position on the global stage by staying on the leading edge of technological development. Public health and technological innovation are vital elements of prosperous economies. It is important to understand how these elements affect each other. This research study explored and described the relationship between these two critical elements/constructs.

Methods

Indicators representing technological innovation and public health were identified. Indicator data from 2000 to 2009 were collected from various US federal government sources, for the four US Census regions. The four US Census regions were then compared in terms of these indicators. Canonical correlation equations were formulated to identify combinations of the indicators that are strongly related to each other. Additionally, the cause–effect relationship between public health and technological innovation was described using the structural equation modeling technique.

Results

The four US Census regions ranked differently in terms of both type of indicators in a statistically significant manner. The canonical correlation analysis showed that the first set of canonical variables had a fairly strong relationship, with a magnitude > 0.65 at the 95% confidence interval, for all census regions. Structural equation modeling analysis provided β < −0.69 and Student’s t statistic > 12.98, for all census regions. The threshold Student’s t statistic was 1.98. Hence, it was found that the β values were significant at the 95% confidence interval, for all census regions.

Discussion

The results of the study showed that better technological innovation indicator scores were associated with better public health indicator scores. Furthermore, the study provided preliminary evidence that technological innovation shares causal relation with public health.

Comparing the impact of socio-demographic factors associated with traffic injury among older road users and the general population in Japan

BACKGROUND

The increasing number of older road users represents a public health issue because older individuals are more susceptible to traffic injury and mortality than the general population. This study investigated the association between socio-demographic factors and traffic injury and traffic mortality for the general population and among older road users in Japan.

METHODS

An ecological study was conducted using national data in Japan. Multivariate regression methods were applied to investigate the association of traffic injury and traffic mortality for the general population and among older road users with significant demographic, economic, road traffic, and medical/cultural factors.

RESULTS

Income per capita, total road length, and alcohol consumption per person were significantly associated with traffic injury and traffic mortality both for the general population and among older road users in Japan. Income per capita and alcohol consumption per person were negatively associated with traffic mortality for both groups. Meanwhile, for both groups, income per capita was positively associated with traffic injury, while total road length and alcohol consumption per person were negatively associated with traffic injury.

CONCLUSIONS

The effects of socio-demographic factors on traffic injury and traffic mortality in Japan were similar for both the general population and older road users. The study results suggest that injury preventive measures designed for the general population will be beneficial also for older road users in Japan.

Suicide rates and income in São Paulo and Brazil: a temporal and spatial epidemiologic analysis from 1996 to 2008

BACKGROUND

In a classical study, Durkheim noted a direct relation between suicide rates and wealth in the XIX century France. Since that time, several studies have verified this relationship. It is known that suicide rates are associated with income, although the direction of this association varies worldwide. Brazil presents a heterogeneous distribution of income and suicide across its territory; however, evaluation for an association between these variables has shown mixed results. We aimed to evaluate the relationship between suicide rates and income in Brazil, State of São Paulo (SP), and City of SP, considering geographical area and temporal trends.

METHODS

Data were extracted from the National and State official statistics departments. Three socioeconomic areas were considered according to income, from the wealthiest (area 1) to the poorest (area 3). We also considered three regions: country-wide (27 Brazilian States and 558 Brazilian micro-regions), state-wide (645 counties of SP State), and city-wide (96 districts of SP city). Relative risks (RR) were calculated among areas 1, 2, and 3 for all regions, in a cross-sectional approach. Then, we used Joinpoint analysis to explore the temporal trends of suicide rates and SaTScan to investigate geographical clusters of high/low suicide rates across the territory.

RESULTS

Suicide rates in Brazil, the State of SP, and the city of SP were 6.2, 6.6, and 5.4 per 100,000, respectively. Taking suicide rates of the poorest area (3) as reference, the RR for the wealthiest area was 1.64, 0.88, and 1.65 for Brazil, State of SP, and city of SP, respectively (p for trend <0.05 for all analyses). Spatial cluster of high suicide rates were identified at Brazilian southern (RR = 2.37), state of SP western (RR = 1.32), and city of SP central (RR = 1.65) regions. A direct association between income and suicide were found for Brazil (OR = 2.59) and the city of SP (OR = 1.07), and an inverse association for the state of SP (OR = 0.49).

CONCLUSIONS

Temporospatial analyses revealed higher suicide rates in wealthier areas in Brazil and the city of SP and in poorer areas in the State of SP. We further discuss the role of socioeconomic characteristics for explaining these discrepancies and the importance of our findings in public health policies. Similar studies in other Brazilian States and developing countries are warranted.

Rising mortality from injury in urban China: demographic burden, underlying causes and policy implications

In urban China, mortality from injuries has increased over the past five decades. By contrast, life expectancy has continued to increase and has come to nearly equal life expectancy in developed countries. Currently, most of the life expectancy lost due to injury (65%) in urban China would be recovered if injury rates were the same as in countries with low injury-related mortality. Fundamentally, the rising trend in urban injury mortality in China reflects a continued focus on injury treatment rather than prevention in the face of fast socioeconomic development and increasing exposure to risk factors for injury. Despite improved injury prevention legislation and a "Safe Community" campaign, urban China needs to modify its approach to urban injury management and focus on prevention. The gap between urban China and countries with low injury mortality can be closed by means of legislation, strengthened law enforcement and the establishment of safer communities. Risks affecting children and migrants deserve greater attention, and the government needs to allocate more resources to injury prevention, especially to urban areas in the central-west region of China. Based on the population size of urban China, measures for the prevention of injury mortality would save an annual 436.4 million years of life.

Worldwide impact of economic cycles on suicide trends over 3 decades: differences according to level of development. A mixed effect model study

OBJECTIVES

To investigate the trends and correlations of gross domestic product (GDP) adjusted for purchasing power parity (PPP) per capita on suicide rates in 10 WHO regions during the past 30 years.

DESIGN

Analyses of databases of PPP-adjusted GDP per capita and suicide rates. Countries were grouped according to the Global Burden of Disease regional classification system.

DATA SOURCES

World Bank's official website and WHO's mortality database.

STATISTICAL ANALYSES

After graphically displaying PPP-adjusted GDP per capita and suicide rates, mixed effect models were used for representing and analysing clustered data.

RESULTS

Three different groups of countries, based on the correlation between the PPP-adjusted GDP per capita and suicide rates, are reported: (1) positive correlation: developing (lower middle and upper middle income) Latin-American and Caribbean countries, developing countries in the South East Asian Region including India, some countries in the Western Pacific Region (such as China and South Korea) and high-income Asian countries, including Japan; (2) negative correlation: high-income and developing European countries, Canada, Australia and New Zealand and (3) no correlation was found in an African country.

CONCLUSIONS

PPP-adjusted GDP per capita may offer a simple measure for designing the type of preventive interventions aimed at lowering suicide rates that can be used across countries. Public health interventions might be more suitable for developing countries. In high-income countries, however, preventive measures based on the medical model might prove more useful.

Macro determinants of cause-specific injury mortality in the OECD countries: an exploration of the importance of GDP and unemployment

Gross Domestic Product (GDP) and unemployment has a strong documented impact on injury mortality. The aim of our study is to investigate the relationship of GDP per capita and unemployment with gender- and cause-specific injury mortalities in the member nations of Organization for Economic Cooperation and Development (OECD). Country-based data on injury mortality per 100,000 population, including males and females aged 1-74, for the 4 year period 1996-1999, were gathered from the World Health Organization's Statistical Information System. We selected fourteen cause-specific injury mortalities. Data on GDP, unemployment rate and population growth were taken from World Development Indicators. GDP and unemployment rate per 100 separately were regressed on total and cause-specific injury mortality rate per 100,000 for males and females. Overall in the OECD countries, GDP per capita increased 12.5% during 1996-1999 (P = 0.03) where as unemployment rate decreased by 12.3% (P = 0.05). Among males, most cause-specific injury mortality rates decreased with increasing GDP except motor vehicle traffic crashes (MTC) that increased with increasing GDP (coefficient = 0.75; P < 0.001). Similar trend was found in females, except suicidal injury mortalities that also increased with increasing GDP (coefficient = 0.31; P = 0.04). When we modeled cause-specific injury mortality rates with unemployment, injuries due to firearm missiles (coefficient = 0.53; P < 0.001), homicide (coefficient = 0.36; P < 0.001), and other violence (coefficient = 0.41; P < 0.001) increased with increase in unemployment rate among males. However, among females only accidental falls (coefficient = 0.36; P = 0.01) were found significantly associated with increasing unemployment rate. GDP is more related to cause-specific injury mortality than unemployment. Injury mortality does not relate similarly to each diagnosis-specific cause among males and females. Further research on causation with more predictors is needed.