Factors associated with multiple suicide attempts in a nationally representative study of U.S. military veterans

Author(s):  
Brandon Nichter ◽  
Shira Maguen ◽  
Lindsey L. Monteith ◽  
Lorig Kachadourian ◽  
Sonya B. Norman ◽  
...  
Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Saqib Chaudhry ◽  
Ibrahim Laleka ◽  
Zelalem Bahiru ◽  
Hassan S Gill ◽  
Mohammad Rauf Chaudhry ◽  
...  

Background: Recent trials have demonstrated a reduction in death or disability with endovascular treatment in patients with acute ischemic strokes. However, readmission rates and predictors are not known. Objective: To identify rates and factors associated with 30-day readmission after endovascular treatment in ischemic stroke patients. Methods: Nationwide Readmissions Data (NRD) between 2010 and 2017 was utilized to identify endovascular treatment in acute ischemic stroke patients using ICD-9 and ICD-10 codes. We used hierarchical logistic regression model to identify factors associated with 30-day readmissions. Results: Among 17, 562 acute ischemic stroke patients who survived to discharge after endovascular treatment, 2334 (13.29%) were readmitted within 30-days. Age => 65 years (odds ratio [OR]: 1.23, 95% confidence interval [CI]: 1.09 to 1.39, p =0.0005), chronic kidney disease (OR: 1.28, 95%CI: 1.12 to 1.47, p = 0.0004), congestive heart failure (OR: 1.25, 95%CI: 1.13 to 1.39, p <.0001), post procedure intracranial hemorrhage (OR: 1.09, 95%CI: 0.99 to 1.20, p = 0.04) and diabetes mellitus (OR: 1.09, 95%CI: 0.99 to 1.20, p = .09) during the index hospitalization were associated with readmission within 30 days. Conclusion: In this large nationally representative study, nearly one in 10 patients were readmitted within 30 days after discharge in acute ischemic stroke patients undergoing endovascular treatment. Medical comorbidities and post procedure intracranial hemorrhage were associated with 30-day readmission.


2020 ◽  
Author(s):  
Kathleen Kenny ◽  
Lisa Merry ◽  
Brownbridge A. Douglas ◽  
ML Urquia

Abstract Objectives There is a paucity of research on patterns of cyber-victimization in minority groups, including immigrants. This study aimed at identifying individual, interpersonal and contextual characteristics associated with cyber-victimization among immigrants and non-immigrants.Methods We drew on nationally representative data from adolescents and adults in the Canadian General Social Survey on victimization (2014). Multivariable logistic regression was employed to identify potential factors associated with cyber-victimization in the last 12 months, stratified by immigrant status and sex.Results Among 27,425 survey respondents, the weighted prevalence of cyber-victimization in the last 12 months was 2.1% among immigrants and 2.3% among non-immigrants. Cyber-victimization rates differed significantly by sex among immigrants (2.8% for males vs. 1.4% for females), but not among non-immigrants (2.1% for males vs. 2.4% for females). While most other factors associated with cyber-victimization were similar for immigrants and non-immigrants, we found pronounced associations of past child maltreatment (adjusted prevalence odds ratio [aPOR] 4.85, 95% confidence interval [CI] 2.76, 8.52) and residence in an unwelcoming neighbourhood (aPOR 5.08, 95% CI 2.44, 10.55) with cyber-victimization among immigrants that were diminished or absent among non-immigrants. Additionally, sex-stratified analyses among immigrants showed cyber-victimization to be strongly associated with having a mental health condition (aPOR 3.50, 95% CI 1.36, 8.97) among immigrant males only, and with perceived discrimination (aPOR 4.08, 95% CI 1.65, 10.08), as well as being under 24 years old (aPOR 3.24, 95% CI 1.09, 9.60) among immigrant females.Conclusions Immigration status and sex were differentially associated with cyber-victimization. Findings support the salience of a social-ecological perspective and gender-stratified analyses to better elucidate complex pathways linking cyber-victimization to potential gender-based health inequities among immigrants.


2020 ◽  
Author(s):  
Kathleen Kenny ◽  
Lisa Merry ◽  
Brownbridge A. Douglas ◽  
ML Urquia

Abstract Objectives: There is a paucity of research on patterns of cyber-victimization in minority groups, including immigrants. This study aimed at identifying individual, interpersonal and contextual characteristics associated with cyber-victimization among immigrants and non-immigrants.Methods: We drew on nationally representative data from adolescents and adults in the Canadian General Social Survey on victimization (2014). Multivariable logistic regression was employed to identify potential factors associated with cyber-victimization in the last 12 months, stratified by immigrant status and sex. Results: Among 27,425 survey respondents, the weighted prevalence of cyber-victimization in the last 12 months was 2.1% among immigrants and 2.3% among non-immigrants. Cyber-victimization rates differed significantly by sex among immigrants (2.8% for males vs. 1.4% for females), but not among non-immigrants (2.1% for males vs. 2.4% for females). While most other factors associated with cyber-victimization were similar for immigrants and non-immigrants, we found pronounced associations of past child maltreatment (adjusted prevalence odds ratio [aPOR] 4.85, 95% confidence interval [CI] 2.76, 8.52) and residence in an unwelcoming neighbourhood (aPOR 5.08, 95% CI 2.44, 10.55) with cyber-victimization among immigrants that were diminished or absent among non-immigrants. Additionally, sex-stratified analyses among immigrants showed cyber-victimization to be strongly associated with having a mental health condition (aPOR 3.50, 95% CI 1.36, 8.97) among immigrant males only, and with perceived discrimination (aPOR 4.08, 95% CI 1.65, 10.08), as well as being under 24 years old (aPOR 3.24, 95% CI 1.09, 9.60) among immigrant females.Conclusions: Immigration status and sex were differentially associated with cyber-victimization. Findings support the salience of a social-ecological perspective and gender-stratified analyses to better elucidate complex pathways linking cyber-victimization to potential gender-based health inequities among immigrants.


BMJ Open ◽  
2018 ◽  
Vol 8 (7) ◽  
pp. e021212 ◽  
Author(s):  
Albert Navarro ◽  
Sergio Salas-Nicás ◽  
Salvador Moncada ◽  
Clara Llorens ◽  
Emilia Molinero-Ruiz

ObjectivesThe aim of this study was to estimate the prevalence of sickness presenteeism (SP), its associated factors and the reasons given for SP episodes, among the overall salaried population and excluding the ‘healthy’ workers.DesignPopulation-based cross-sectional study.SettingSalaried population in Spain.ParticipantsData were obtained from the third Spanish Psychosocial Risks Survey (2016), carried out between October and December 2016, n=1615.Main outcome measuresSelf-reported episodes of SP and their reasons.Results23.0% (95% CI 19.2 to 26.8) of the workers exhibit SP, whereas among those manifesting having had some health problem in the preceding year, the figure was 53.0% (95% CI 46.9 to 59.1). The factors associated with SP when we study all workers are age, seniority, salary structure, working more than 48 hours, the contribution of worker’s wage to the total household income and downsizing; factors among the ‘unhealthy’ workers are working more than 48 hours and not having a contract. The most common reason for SP is ‘did not want to burden my colleagues’, 45.7% (95% CI 37.3 to 54.4), whereas ‘I could not afford it for economic reasons’ ranked third, 35.9% (29.4% to 42.9%), and 27.5% (21.3% to 34.6%) of the workers report ‘worried about being laid off’ as a reason for going to work despite being ill.ConclusionsThe estimated frequency of SP in Spain is lower than certain other countries, such as the Scandinavian countries. The factors associated vary depending on the population analysed (all workers or excluding ‘healthy’ workers). The reason ‘I was worried about being laid off’ was much more common than the estimates for Sweden or Norway.


PLoS ONE ◽  
2011 ◽  
Vol 6 (3) ◽  
pp. e17842 ◽  
Author(s):  
Reinhard Kaiser ◽  
Rebecca Bunnell ◽  
Allen Hightower ◽  
Andrea A. Kim ◽  
Peter Cherutich ◽  
...  

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