Time-Series Analysis of Suicidal and Undetermined Deaths

1997 ◽  
Vol 85 (3_suppl) ◽  
pp. 1242-1242 ◽  
Author(s):  
David Lester
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Suicide Rate ◽  
Death Rate ◽  
Death Rates ◽  
Negatively Associated ◽  
Fair Proportion ◽  
Series Analysis ◽  
The Usa ◽  
Over Time

The suicide rate and the death rate for undetermined causes were negatively associated over time from 1968 to 1990 in the USA, suggesting that these undetermined deaths may include a fair proportion of suicides. In contrast, there was no association between suicide and undetermined death rates over the states in 1980.

Recession and risk of suicide in Denmark during the 2009 global financial crisis: an ecological register-based study

2021 ◽  
pp. 140349482110132
Author(s):  
Agnieszka Konieczna ◽  
Sarah Grube Jakobsen ◽  
Christina Petrea Larsen ◽  
Erik Christiansen
Keyword(s):  
Time Series ◽  
Financial Crisis ◽  
Time Series Analysis ◽  
Suicide Rate ◽  
Global Financial Crisis ◽  
Interrupted Time Series ◽  
Interrupted Time Series Analysis ◽  
Series Analysis ◽  
Prevention Programmes ◽  
The Impact

Aim: The aim of this study is to analyse the potential impact from the financial crisis (onset in 2009) on suicide rates in Denmark. The hypothesis is that the global financial crisis raised unemployment which leads to raising the suicide rate in Denmark and that the impact is most prominent in men. Method: This study used an ecological study design, including register data from 2001 until 2016 on unemployment, suicide, gender and calendar time which was analysed using Poisson regression models and interrupted time series analysis. Results: The correlation between unemployment and suicide rates was positive in the period and statistically significant for all, but at a moderate level. A dichotomised version of time (calendar year) showed a significant reduction in the suicide rate for women (incidence rate ratio 0.87, P=0.002). Interrupted time series analysis showed a significant decreasing trend for the overall suicide rate and for men in the pre-recession period, which in both cases stagnated after the onset of recession in 2009. The difference between the genders’ suicide rate changed significantly at the onset of recession, as the rate for men increased and the rate for women decreased. Discussion: The Danish social welfare model might have prevented social disintegration and suicide among unemployed, and suicide prevention programmes might have prevented deaths among unemployed and mentally ill individuals. Conclusions: We found some indications for gender-specific differences from the impact of the financial crises on the suicide rate. We recommend that men should be specifically targeted for appropriate prevention programmes during periods of economic downturn.

scholarly journals Association of flavoured cigar regulations with wholesale tobacco volumes in Canada: an interrupted time series analysis

2018 ◽  
Vol 28 (4) ◽  
pp. 457-461 ◽  
Author(s):  
Michael O Chaiton ◽  
Robert Schwartz ◽  
Gabrielle Tremblay ◽  
Robert Nugent
Keyword(s):  
Time Series ◽  
Sensitivity Analysis ◽  
Time Series Analysis ◽  
Interrupted Time Series ◽  
Interrupted Time Series Analysis ◽  
Level Change ◽  
Series Analysis ◽  
Tobacco Sales ◽  
Health Canada ◽  
Over Time

IntroductionThis study examines the association of Federal Canadian regulations passed in 2009 addressing flavours (excluding menthol) in small cigars with changes in cigar sales.MethodsQuarterly wholesale unit data as reported to Health Canada from 2001 through 2016 were analysed using interrupted time series analysis. Changes in sales of cigars with and without flavour descriptors were estimated. Analyses were seasonally adjusted. Changes in the flavour types were assessed over time.ResultsThe Federal flavour regulations were associated with a reduction in the sales of flavoured cigars by 59 million units (95% CI −86.0 to −32.4). Increases in sales of cigars with descriptors other than flavours (eg, colour or other ambiguous terms) were observed (9.6 million increase (95% CI −1.3 to 20.5), but the overall level (decline of 49.6 million units (95% CI −73.5 to −25.8) and trend of sales of cigars (6.9 million units per quarter (95% CI −8.1 to −5.7)) declined following the ban. Sensitivity analysis showed that there was no substantial difference in effect over time comparing Ontario and British Columbia, suggesting that other provincial tobacco control legislation was not associated with the changes in levels. Analyses suggested that the level change was sensitive to the specification of the date.ConclusionThis study demonstrates that flavour regulations have the potential to substantially impact tobacco sales. However, exemptions for certain flavours and product types may have reduced the effectiveness of the ban, indicating the need for comprehensive, well-designed regulations.

Beverage-Specific Alcohol Sale and Suicide in Russia

Crisis ◽  
2009 ◽  
Vol 30 (4) ◽  
pp. 186-191 ◽  
Author(s):  
Y.E. Razvodovsky
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Binge Drinking ◽  
Suicide Rate ◽  
Drinking Pattern ◽  
Drinking Patterns ◽  
Series Analysis ◽  
Suicide Rates ◽  
Per Capita ◽  
Alcohol Sales

Background: The high suicide rate in Russia and its profound fluctuation over the past decades have attracted considerable interest. There is growing evidence that beverage preference and binge-drinking patterns, i.e., excessive consumption of strong spirits, results in a quicker and deeper level of intoxication, which increases the propensity for the alcohol-related suicide. In line with this evidence, we assumed that higher levels of vodka consumption, in conjunction with binge-drinking patterns, would result in a close, aggregate-level association between vodka sales and suicide in Russia. Aims and Methods: To test this hypothesis, trends in beverage-specific alcohol sales per capita and suicide rates from 1970 to 2005 in Russia were analyzed employing ARIMA time-series analysis. Results: The results of the time-series analysis suggested that a 1 liter increase in overall alcohol sales would result in a 4% increase in the male suicide rate and a 2.8% increase in the female suicide rate; a 1 liter increase in vodka sales would increase the suicide rate by 9.3% for men and by 6% for women. Conclusions: This study replicates previous findings from other settings, which suggest that suicide rates tend to be more responsive to changes in distilled spirits consumption per capita than to the total level of alcohol consumption. Assuming that drinking spirits is usually associated with intoxication episodes, these findings provide additional evidence that the drinking pattern is an important determinant in the relationship between alcohol and suicide. The outcomes of this study also provide support for the hypothesis that suicide and alcohol are closely connected in cultures where an intoxication-oriented drinking pattern prevails and adds to the growing body of evidence that alcohol plays a crucial role in the fluctuation in suicide mortality rates in Russia during recent decades.

Time Series

2021 ◽  
pp. 288-291
Author(s):  
Jean-Frédéric Morin ◽  
Christian Olsson ◽  
Ece Özlem Atikcan
Keyword(s):  
Time Series ◽  
Social Change ◽  
Time Series Analysis ◽  
Longitudinal Analysis ◽  
Analysis Time ◽  
Social Phenomena ◽  
Series Analysis ◽  
Level Of Analysis ◽  
Patterns Of Recurrence ◽  
Over Time

This chapter focuses on time series analysis, a statistical method of longitudinal analysis which is suitable if researchers are interested in the temporality of social phenomena and want to analyse social change and patterns of recurrence over time. In contrast to other statistical methods of longitudinal analysis, time series analysis can be applied even if researchers have only a few cases (maybe even only one) and only a few (maybe even only one) variables. Time series can be built for any level of analysis, as cases can be persons, but are usually organizations or countries. In order to build a time series, the variables need to have been measured several times over a given period, and for each measurement one needs to know the measurement date. There are different goals when doing time series analysis, which can be used in descriptive, explanatory, and interpretive approaches.

Effect of 13-valent pneumococcal conjugate vaccine on admissions to hospital 2 years after its introduction in the USA: a time series analysis

2014 ◽  
Vol 2 (5) ◽  
pp. 387-394 ◽  
Author(s):  
Lone Simonsen ◽  
Robert J Taylor ◽  
Cynthia Schuck-Paim ◽  
Roger Lustig ◽  
Michael Haber ◽  
...  
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Conjugate Vaccine ◽  
Pneumococcal Conjugate Vaccine ◽  
Series Analysis ◽  
The Usa

scholarly journals Tall Man lettering and potential prescription errors: a time series analysis of 42 children's hospitals in the USA over 9 years

2015 ◽  
Vol 25 (4) ◽  
pp. 233-240 ◽  
Author(s):  
Wenjun Zhong ◽  
James A Feinstein ◽  
Neil S Patel ◽  
Dingwei Dai ◽  
Chirs Feudtner
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Children's Hospitals ◽  
Prescription Errors ◽  
Series Analysis ◽  
Children’S Hospitals ◽  
The Usa

scholarly journals A comparative time series analysis of crude mortality rate in the BRICS countries

2021 ◽  
Vol 2 (2) ◽  
pp. 17-32
Author(s):  
Olawale Awe ◽  
O.C. Ayeni ◽  
G.P. Sanusi ◽  
L.O. Oderinde
Keyword(s):  
Time Series ◽  
Mortality Rate ◽  
Time Series Analysis ◽  
Death Rate ◽  
Structural Breaks ◽  
Policy Implications ◽  
P Value ◽  
Crude Death Rate ◽  
Series Analysis ◽  
Brics Countries

Proper research and analysis of mortality dynamics is essential to provide reliable economic information about any country. This paper deals with the historical comparative time series analysis of the mortality rate dynamics in the BRICS countries to determine their economic performances over the years. This article presents stochastic models based on autoregressive integrated moving average (ARIMA (p, d, q)) models of various orders with a view to identifying the optimal and comparative model for the crude death rate (CDR) in the BRICS countries. The ARIMA (p, d, q) models were formulated for the crude death rates in the BRICS countries and the overall annual crude death rate for the period 1960–2018. The optimal choice of ARIMA models of order p and q was selected for each of the series. The results indicate that the ARIMA (2, 2, 0) model was the optimal model for predicting mortality dynamics in the overall BRICS data. In addition, there was a significant decrease in trends (p-value < 2.22e-16) during the study period from 1960 to 2018. In addition, the crude death rate’s data for the BRICS countries proved to be mostly non-linear, non-seasonal and without structural breaks. Finally, the findings of this study were discussed and recognized as having relevant policy implications for forecasting, insurance planning, as well as for disaster or risk reduction in the context of unprecedented global happenings in the post-pandemic era.

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