scholarly journals Reply to: Nix and Lozada (2020), “Do police killings of unarmed persons really have spillover effects? Reanalyzing Bor et al. (2018)”

2020 ◽  
Author(s):  
Jacob Brr ◽  
Atheendar Venkataramani ◽  
David Williams ◽  
Alexander C. Tsai
Keyword(s):  
Mental Health ◽  
Health Outcomes ◽  
State Level ◽  
Spillover Effects ◽  
Population Based ◽  
Mental Health Outcomes ◽  
Point Estimate ◽  
Police Violence ◽  
Quasi Experimental ◽  
Project Data

Nix and Lozada (2020) provide a critique of our 2018 paper, “Police killings and their spillover effects on the mental health of black Americans: a population-based, quasi-experimental study.” They take issue to our use of crowdsourced data from the Mapping Police Violence project database on whether or not a given victim was unarmed, our main exposure measure, and argue that 93 cases were miscoded as unarmed in these data. They then argue that recoding or dropping these 30% cases led to an attenuated and statistically non-significant estimate of the effect of these events on mental health outcomes among black American adults. In this reply, we argue that (1) our use of the Mapping Police Violence project data was carefully considered and scientifically valid both from a theoretical and analytic perspective, and (2) that the difference between our estimates and Nix and Lozada’s do not arise from “miscoding” as the authors claim, but rather a different definition of what constitutes an unarmed victim. To probe the robustness of our results, we estimate 128 regressions models representing all combinations of exclusions of the seven classes of events Nix and Lozada dispute as being unarmed. The estimates are uniformly positive (i.e., all indicative of a harmful relationship between exposure to these events at the state-level and mental health outcomes), and the range of estimates overlap substantially with the 95% confidence interval for our original point estimate.

scholarly journals Mental health outcomes after major trauma in Ontario: a population-based analysis

2018 ◽  
Vol 190 (45) ◽  
pp. E1319-E1327
Author(s):  
Christopher C.D. Evans ◽  
Yvonne DeWit ◽  
Dallas Seitz ◽  
Stephanie Mason ◽  
Avery Nathens ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Outcomes ◽  
Major Trauma ◽  
Population Based ◽  
Mental Health Outcomes

Pediatric Integrated Care Models: A Systematic Review

2019 ◽  
Vol 59 (2) ◽  
pp. 148-153 ◽  
Author(s):  
Kimberly Burkhart ◽  
Kenneth Asogwa ◽  
Nida Muzaffar ◽  
Mary Gabriel
Keyword(s):  
Mental Health ◽  
Primary Care ◽  
Health Outcomes ◽  
Collaborative Care ◽  
Experimental Studies ◽  
Mental Health Outcomes ◽  
Care Models ◽  
Quasi Experimental ◽  
Behavioral Health Treatment ◽  
Integrated Care Models

Psychiatric disorders are becoming more frequently diagnosed within the pediatric primary care setting. Despite increased diagnosis within primary care, only a minority of patients receive further psychiatric or specialty care. The integrated/collaborative care treatment model was designed to improve access within primary care. The purpose of this review is to identify randomized controlled trials and quasi-experimental studies that have investigated whether increased access improves treatment engagement, satisfaction, and improved mental health outcomes. Six studies met inclusion criteria. Studies reviewed indicated increased access to behavioral health treatment through use of the integrated/collaborative care model and improved mental health outcomes. Recommendations for screening and treatment are provided. Limitations of the reviewed studies include lack of generalizability to urban populations, minority youth, and youth younger than 4 years of age. Practice recommendations to address these limitations are identified.

Adolescent Concussion and Mental Health Outcomes: A Population-based Study

2019 ◽  
Vol 43 (2) ◽  
pp. 258-265 ◽  
Author(s):  
Max N. Yang ◽  
Kristen Clements-Nolle ◽  
Brian Parrish ◽  
Wei Yang
Keyword(s):  
Mental Health ◽  
Health Outcomes ◽  
Population Based ◽  
Mental Health Outcomes ◽  
Population Based Study

scholarly journals Community Support as a Moderator of Postdisaster Mental Health Symptoms in Urban and Nonurban Communities

2013 ◽  
Vol 7 (5) ◽  
pp. 443-451 ◽  
Author(s):  
Jenny S. West ◽  
Matthew Price ◽  
Kirstin Stauffacher Gros ◽  
Kenneth J. Ruggiero
Keyword(s):  
Mental Health ◽  
Health Outcomes ◽  
Protective Factor ◽  
Community Support ◽  
Recovery Process ◽  
Population Based ◽  
Mental Health Outcomes ◽  
Depression Symptoms ◽  
Interpersonal Effects ◽  
Disaster Exposure

AbstractObjectiveWe examined the association between disaster exposure, community support, and mental health outcomes in urban and nonurban participants of Galveston and Chambers counties after Hurricane Ike. The moderating effect of community support was evaluated as a protective factor relative to postdisaster mental health.MethodsA representative population-based sample of 157 urban and 714 nonurban adults were interviewed 12 to 17 months after the hurricane about their mental health functioning, disaster exposure, and perceptions of community support.ResultsA series of multiple regressions demonstrated that disaster exposure was associated with mental health outcomes for both groups. The strength of the association varied across population samples.Community support moderated the association between interpersonal effects of the disaster and posttraumatic stress disorder (PTSD) and depression outcomes in nonurban participants and the association between property damage and PTSD in urban participants.ConclusionsCommunity support played a larger role in reducing PTSD and depression symptoms associated with the interpersonal effects of a disaster in the nonurban sample only. Communities may play a more beneficial role in the recovery process in nonurban areas that have elevated levels of injury or death attributed to a disaster. (Disaster Med Public Health Preparedness. 2013;0:1–9)

scholarly journals Adverse mental health outcomes in a population-based cohort of survivors of childhood cancer

Cancer ◽  
2018 ◽  
Vol 124 (9) ◽  
pp. 2045-2057 ◽  
Author(s):  
Paul C. Nathan ◽  
Alex Nachman ◽  
Rinku Sutradhar ◽  
Paul Kurdyak ◽  
Jason D. Pole ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Outcomes ◽  
Childhood Cancer ◽  
Population Based ◽  
Mental Health Outcomes ◽  
Survivors Of Childhood Cancer

scholarly journals Mental health among immigrants in Germany – the impact of self-attribution and attribution by others as an immigrant

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Yuriy Nesterko ◽  
Michael Friedrich ◽  
Elmar Brähler ◽  
Andreas Hinz ◽  
Heide Glaesmer
Keyword(s):  
Mental Health ◽  
Health Outcomes ◽  
Population Based ◽  
Migration Background ◽  
Mental Health Outcomes ◽  
Anxiety And Depression ◽  
Post Traumatic Stress ◽  
Related Factors ◽  
Logistic Regression Models ◽  
The Impact

Abstract Background In Germany, the term ‘migration background’ has been established to differentiate between immigrants and natives. In the present study post-traumatic stress disorder (PTSD), anxiety, and depression were analysed in immigrant populations in Germany by considering self-attribution as well as attribution by others on one’s own ‘migration background’. Methods In a population-based survey (N = 2317), socio-demographic characteristics, migration background (official statistics definition vs. self-attribution as well as the anticipated attribution by others), PTSD (PCL-5), and symptoms of anxiety and depression (PHQ-4) were assessed. Logistic regression models were applied to predict mental health outcomes by considering socio-demographic and immigration-related factors. Results A total of 10.7% of respondents (N = 248) had a ‘migration background’. Immigrants of the 2nd generation compared to 1st generation immigrants are less likely to see themselves as immigrants. Attribution as an immigrant (self and/or by others) was found as significant predictor for PTSD and depression, but not anxiety. Conclusions It seems useful to focus on immigration-related factors considering subjective perspectives and not only comparing immigrants and natives using a federal statistics definition. Our findings suggest that research on the association between immigration-related factors such as attribution as an immigrant and mental health outcomes might be a promising approach to better identify subgroups at higher risk of mental distress.

scholarly journals Sibling Bullying: A Prospective Longitudinal Study of Associations with Positive and Negative Mental Health during Adolescence

2021 ◽  
Author(s):  
Umar Toseeb ◽  
Dieter Wolke
Keyword(s):  
Mental Health ◽  
Health Outcomes ◽  
Early Adolescence ◽  
Developmental Trajectories ◽  
Late Adolescence ◽  
Population Based ◽  
Poor Mental Health ◽  
Mental Health Outcomes ◽  
Prospective Longitudinal Study ◽  
Prospective Longitudinal

AbstractSibling bullying is associated with poor mental health outcomes, but the relevance of specific bullying roles remains unclear. Data from a population-based study (n = 17,157, 48% female) focusing on early (11 years), middle (14 years), and late (17 years) adolescence were analyzed. Associations between sibling bullying roles in early adolescence and positive and negative mental health outcomes in late adolescence were investigated. Generally, bullying, irrespective of role, was associated with poorer mental health outcomes in late adolescence. As the frequency of bullying victimization increased between early and middle adolescence so did the severity of mental health outcomes in late adolescence. The developmental trajectories of externalizing problems were influenced by bullying in early adolescence. Sibling bullying, irrespective of role, is associated with poor mental health outcomes.

scholarly journals Mental health among immigrants in Germany – the impact of self-attribution and attribution by others as an immigrant

2019 ◽  
Author(s):  
Yuriy Nesterko ◽  
Michael Friedrich ◽  
Elmar Brähler ◽  
Andreas Hinz ◽  
Heide Glaesmer
Keyword(s):  
Mental Health ◽  
Health Outcomes ◽  
Population Based ◽  
Migration Background ◽  
Mental Health Outcomes ◽  
Anxiety And Depression ◽  
Post Traumatic Stress ◽  
Related Factors ◽  
Logistic Regression Models ◽  
The Impact

Abstract Background In Germany, the term ‘migration background' has been established to differentiate between immigrants and natives. In the present study post-traumatic stress disorder (PTSD), anxiety and depression were analysed in immigrant populations in Germany by considering self-attribution as well as attribution by others on one’s own ‘migration background’. Methods In a population-based survey (N = 2317), socio-demographic characteristics, migration background (official statistics definition vs. self-attribution as well as the anticipated attribution by others), PTSD (PCL-5), symptoms of anxiety and depression (PHQ-4) were assessed. Logistic regression models were applied to predict mental health outcomes by considering socio-demographic and immigration-related factors. Results A total of 10.7% of the respondents (N = 248) had a ‘migration background’. Immigrants of the 2nd generation compared to 1st generation immigrants are less likely to see themselves as immigrants. Attribution as an immigrant (self and/or by others) was found as significant predictor for PTSD and depression, but not anxiety. Conclusions It seems useful to focus on immigration-related factors considering subjective perspectives and not only comparing immigrants and natives using a federal statistics definition. Our findings suggest that research on the association between immigration-related factors such as attribution as an immigrant and mental health outcomes might be a promising approach to better identify subgroups at higher risk of mental distress.

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