scholarly journals Suicidal ideation among racial/ethnic minorities: Moderating effects of rumination and depressive symptoms.

2015 ◽  
Vol 21 (1) ◽  
pp. 31-40 ◽  
Author(s):  
Soumia Cheref ◽  
Robert Lane ◽  
Lillian Polanco-Roman ◽  
Erin Gadol ◽  
Regina Miranda
Keyword(s):  
Depressive Symptoms ◽  
Suicidal Ideation ◽  
Ethnic Minorities ◽  
Moderating Effects ◽  
Racial Ethnic

Race, ethnicity, and suicidal ideation: Moderating effects of rumination and depressive symptoms

2014 ◽  
Author(s):  
Soumia Cheref ◽  
Robert Lane ◽  
Lillian A. Polanco-Roman ◽  
Regina Miranda
Keyword(s):  
Depressive Symptoms ◽  
Suicidal Ideation ◽  
Moderating Effects ◽  
Race Ethnicity

College Students' Exposure and Engagement with Tobacco-related Social Media

2020 ◽  
Vol 6 (1) ◽  
pp. 38-53 ◽  
Author(s):  
Stephanie L. Clendennen ◽  
Elizabeth A. Vandewater ◽  
Alexandra Loukas ◽  
Cheryl L. Perry ◽  
Anna V. Wilkinson
Keyword(s):  
College Students ◽  
Social Media ◽  
Depressive Symptoms ◽  
Ethnic Minorities ◽  
Behavioral Characteristics ◽  
Cross Sectional ◽  
Gender Minorities ◽  
Advertising Exposure ◽  
Racial Ethnic ◽  
Practical Implications

Objectives: In this study, we examine the prevalence and demographic, social, and behavioral characteristics associated with college students' exposure to and engagement with tobaccorelated social media, in a diverse sample from the Marketing and Promotions Across Colleges in Texas Study (N = 4384). Methods: We used multiple logistic regression to examine cross-sectional associations between characteristics and exposure and engagement. Results: Overall, 30% of students reported past 30-day exposure to tobacco advertising on social media. Exposure was greatest for e-cigarette advertisements on Facebook. A total of 23% reported engagement. Anti-engagement activities, like posting links to anti-tobacco messaging, were more prevalent than pro-engagement. Racial/ethnic minorities, 2-year college students, dual/poly-users, higher social media users, students with friends who use tobacco, and students with higher depressive symptoms were significantly more likely to report exposure. Racial/ethnic minorities, sexual/gender minorities, 2-year college students, dual/poly-users, higher social media users, and students with higher depressive symptoms were more likely to report pro-engagement. Sexual/gender minorities, non-users and dual/poly-users (vs single-product users), higher social media users, students with friends who use tobacco, and students with higher depressive symptoms were more likely to report anti-engagement. Females were more likely to report hookah advertising exposure and anti-tobacco engagement. Conclusions: We discuss the regulatory and practical implications.

The State of Asian American Businesses

2011 ◽  
Vol 9 (1-2) ◽  
pp. 70-77
Author(s):  
Diem Tran ◽  
OiYan Poon
Keyword(s):  
Ethnic Minorities ◽  
Asian American ◽  
The State ◽  
Business Success ◽  
American Business ◽  
Policy Recommendations ◽  
Business Ownership ◽  
Careful Scrutiny ◽  
Potential Factors ◽  
Racial Ethnic

Business success is a dominant theme in the Asian American narrative. However, Asian American entrepreneurship is more complex and multilayered than commonly believed and requires careful scrutiny. This brief examines the state of Asian American business ownership between 2005 and 2007. Findings suggest that although Asian Americans form businesses at higher rates than other racial/ethnic minorities, Asian American business ownership and outcomes continue to trail those of non-Hispanic whites. Potential factors contributing to racial/ethnic gaps and policy recommendations are discussed.

756 The Moderating Influence of Depression on Insomnia and Suicidal Ideation in a Military Sample

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A294-A295
Author(s):  
Emma Palermo ◽  
Jennifer Goldschmied ◽  
Elaine Boland ◽  
Elizabeth A Klingaman ◽  
Philip Gehrman ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Suicidal Ideation ◽  
Research University ◽  
Negative Binomial ◽  
Suicide Attempts ◽  
Risk And Resilience ◽  
Depression Severity ◽  
Significant Interaction Effect ◽  
Increased Risk ◽  
The Impact

Abstract Introduction Military personnel are at an increased risk for suicide compared to the general population, making it important to develop a deeper understanding of which factors contribute to this elevated risk. Given that suicidal ideation (SI) is one of the strongest predictors of suicide attempts, understanding factors that underlie SI may improve prevention efforts. Insomnia and depression both serve as independent risk factors for SI, and therefore the aim of this study was to examine the extent to which depressive symptoms moderate the association between insomnia and SI. Methods Data were obtained from the All Army Study of the Army Study to Assess Risk and Resilience in Servicemembers (STARRS). Soldiers (n=21,450) completed questions related to suicidal ideation (5 items), depressive symptoms (9 items), and insomnia (5 items) based on symptom presence in the past 30 days. Items in each domain were summed to create a total severity score. GEE models using a negative binomial linking function were conducted to examine the impact of depression, insomnia, and their interaction on SI. Results Both depression (χ2 =117.56, p<0.001) and insomnia (χ2=11.79, p=0.0006) were found to have significant main effects on SI, and there was a significant interaction effect (χ2=4.52, p=0.0335). Follow up simple effects revealed that insomnia was no longer significantly associated with SI when depression severity was low, but was associated with SI in the presence of greater depression severity (χ2=2.91, p=0.0882). Conclusion In a large sample of Army soldiers, depression significantly moderated the association between SI and insomnia, such that insomnia seems to amplify the effects of depression on SI. These findings highlight the importance of addressing insomnia severity as a mean of reducing SI in those with depression, potentially allowing for intervention prior to a suicide attempt. Support (if any) Perlis: K24AG055602 & R01AG041783. This publication is based on public use data from Army STARRS (Inter-university Consortium for Political and Social Research, University of Michigan- http://doi.org/10.3886/ICPSR35197-v1), funded by U.S. NIMH-U01MH087981.

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