Unintentional injury fatalities in the context of rising U.S. suicide rates: A five-year review of the web-based injury statistics query and reporting system

Impact of Magnesium and Ferritin Deficiency on Depression Among Adolescent Students

BACKGROUND

Depression is considered the fourth-leading cause of health problems. It is the fourth-leading cause of health problems and disability, which causes 16% of the worldwide burden of disease and injury among adolescents.

OBJECTIVE

The aim of the present study was to evaluate the possible association of magnesium (Mg) and ferritin deficiency with depression in adolescent students.

PATIENTS AND METHODS

This case control study in secondary schools at Al-Ghanayem discrete. The total number included was 358 students. All were screened for depression by the Arabic version of the Beck questionnaire. The students who had positive score was selected as cases 86 and a matched same number of students with negative score was selected as controls. Serum level of ferritin and magnesium was measured in the 2 groups.

RESULTS

There was statistically significant difference between the studied groups when comparing depression grade with each of ferritin and Mg Depressed group cases had lower mean values of ferritin and Mg. The ferritin cut-off level for the prediction of depression was (35.5 μg/dL, which had a sensitivity of 74.4% and a specificity of 75.6%. The magnesium cut-off levels for the prediction of depression were1.95 mg/dL and 104.5 ng/dL which had a sensitivity of 70% and 64%, respectively.

CONCLUSION

There was a statistically significant negative correlation between depression severity and each of socio-economic status ferritin and Mg. Each of ferritin and Mg were predictors for depression.

US racial and sex-based disparities in firearm-related death trends from 1981-2020

BACKGROUND

Firearms cause the most suicides (60%) and homicides (36%) in the US. The high lethality and availability of firearms make them a particularly dangerous method of attempted violence. The aim of this study was to study US trends in firearm suicide and homicide mortality and years of potential life lost before age 75 (YPLL-75) between 1981 and 2020.

METHODS

Data in this cross-sectional study were collected between 1981 and 2020 from the Centers for Disease Control and Prevention (CDC)'s WISQARS database for fatal injury and violence. Data from the US population were considered for all age groups and were divided by racial groups and sex for analysis.

RESULTS

Those most heavily impacted by firearm homicide were Black, with homicide age-adjusted death rates almost seven times higher than White people. A spike in firearm homicide deaths occurred between 2019 and 2020, with Black people having the largest increase (39%). White people had the highest rates of firearm suicide, and suicide death rates increased between 2019 and 2020. Increases in homicide and suicide YPLL-75 between 2011 and 2020 had most heavily impacted minority populations. Men had a firearm suicide rate that was seven times higher than women, and a firearm homicide rate that was five times higher than women.

CONCLUSION

This study demonstrated that Black and White men were most impacted by firearm deaths, and that firearm homicide and suicide rates increased between 2019 and 2020 for all racial groups except Asian/Pacific Islander. Our results suggest that prevention efforts should focus on specific demographic factors and articulate the urgency to mitigate firearm-related deaths in the US.

Predicting the Number of Suicides in Japan Using Internet Search Queries: Vector Autoregression Time Series Model

BACKGROUND

The number of suicides in Japan increased during the COVID-19 pandemic. Predicting the number of suicides is important to take timely preventive measures.

OBJECTIVE

This study aims to clarify whether the number of suicides can be predicted by suicide-related search queries used before searching for the keyword "suicide."

METHODS

This study uses the infoveillance approach for suicide in Japan by search trends in search engines. The monthly number of suicides by gender, collected and published by the National Police Agency, was used as an outcome variable. The number of searches by gender with queries associated with "suicide" on "Yahoo! JAPAN Search" from January 2016 to December 2020 was used as a predictive variable. The following five phrases highly relevant to suicide were used as search terms before searching for the keyword "suicide" and extracted and used for analyses: "abuse"; "work, don't want to go"; "company, want to quit"; "divorce"; and "no money." The augmented Dickey-Fuller and Johansen tests were performed for the original series and to verify the existence of unit roots and cointegration for each variable, respectively. The vector autoregression model was applied to predict the number of suicides. The Breusch-Godfrey Lagrangian multiplier (BG-LM) test, autoregressive conditional heteroskedasticity Lagrangian multiplier (ARCH-LM) test, and Jarque-Bera (JB) test were used to confirm model convergence. In addition, a Granger causality test was performed for each predictive variable.

RESULTS

In the original series, unit roots were found in the trend model, whereas in the first-order difference series, both men (minimum tau 3: -9.24; max tau 3: -5.38) and women (minimum tau 3: -9.24; max tau 3: -5.38) had no unit roots for all variables. In the Johansen test, a cointegration relationship was observed among several variables. The queries used in the converged models were "divorce" for men (BG-LM test: P=.55; ARCH-LM test: P=.63; JB test: P=.66) and "no money" for women (BG-LM test: P=.17; ARCH-LM test: P=.15; JB test: P=.10). In the Granger causality test for each variable, "divorce" was significant for both men (F₁₀₄=3.29; P=.04) and women (F₁₀₄=3.23; P=.04).

CONCLUSIONS

The number of suicides can be predicted by search queries related to the keyword "suicide." Previous studies have reported that financial poverty and divorce are associated with suicide. The results of this study, in which search queries on "no money" and "divorce" predicted suicide, support the findings of previous studies. Further research on the economic poverty of women and those with complex problems is necessary.