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), 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 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 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.

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), 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.

Displacement during Hurricane Sandy: The impact on mental health

2018 ◽  
Vol 16 (1) ◽  
pp. 17 ◽  
Author(s):  
Rebecca M. Schwartz, PhD ◽  
Rehana Rasul, MA ◽  
Samantha M. Kerath, MS ◽  
Alexis R. Watson, BS ◽  
Wil Lieberman-Cribbin, MPH ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Outcomes ◽  
Perceived Stress ◽  
Hurricane Sandy ◽  
Mental Health Outcomes ◽  
Ptsd Symptoms ◽  
Post Traumatic Stress ◽  
Convenience Sample ◽  
Illicit Substance ◽  
The Impact

Objective: To assess the effect of displacement due to Hurricane Sandy on mental health outcomes among residents of the greater New York City (NYC) area.Design: Prospective, cross sectional.Setting: NYC area residents, including Queens, Staten Island, and Long Island.Participants: In a 4.25 year period (June 2012 to September 2016), a convenience sample of 1,615 adult residents from the greater NYC area completed validated measures of hurricane exposure (including displacement), perceived stress, depression, anxiety, and post-traumatic stress disorder (PTSD) symptoms as well as indicators of alcohol, illicit substance, and tobacco use.Main Outcome Measures: Perceived stress, depression, anxiety and PTSD symptoms and alcohol, illicit substance, and tobacco use.Results: Multivariable analyses indicated that displaced participants were more likely to have PTSD (adjusted Odds Ratio (AOR): 2.21, 95%CI: 1.73-2.82), depression (AOR: 1.37, 95%CI: 1.05-1.79) and anxiety symptoms (AOR: 1.30, 95%CI: 1.01-1.67) and had a 1.16 unit increase in perceived stress score (SE = 0.38) compared to nondisplaced participants. Staying with friends/family vs. at a shelter was significantly associated with a 48 percent decreased odds of having PTSD symptoms (AOR: 0.52, 95%CI: 0.31-0.88) and of being a current tobacco user (AOR: 0.52, 95%CI: 0.30-0.92).Conclusions: Displacement is associated with negative mental health outcomes, particularly displacement to shelters. Disaster preparedness efforts should involve increasing mental health resources to those who are displaced and providing support services within the shelter setting.

Incidence and Predictors of Mental Health Outcomes Among Survivors of Adolescent and Young Adult Cancer: A Population-Based Study Using the IMPACT Cohort

2021 ◽  
pp. JCO.20.02019
Author(s):  
Riddhita De ◽  
Rinku Sutradhar ◽  
Paul Kurdyak ◽  
Suriya Aktar ◽  
Jason D. Pole ◽  
...  
Keyword(s):  
Mental Health ◽  
Young Adult ◽  
Health Outcomes ◽  
Psychotic Disorder ◽  
Population Based ◽  
Mental Health Outcomes ◽  
Adolescent And Young Adult ◽  
Increased Risk ◽  
The Impact

PURPOSE Risk and predictors of long-term mental health outcomes in survivors of adolescent and young adult (AYA) cancers are poorly characterized. Mental health is consequently neglected in long-term follow-up. METHODS We identified all AYA in Ontario, Canada age 15-21 years when diagnosed with one of six common cancers between 1992-2012 using a population-based database, and compared them with matched controls. Linkage to provincial healthcare data allowed analysis of rates of outpatient (family physician and psychiatrist) visits for psychiatric indications and time to severe psychiatric events (emergency room visit, hospitalization, and suicide). Demographic-, disease-, and treatment-related predictors of adverse outcomes, including treatment setting (adult v pediatric), were examined. RESULTS Among 2,208 survivors and 10,457 matched controls, 5-year survivors experienced higher rates of outpatient mental health visits than controls (671 visits per 1,000 person-years v 506; adjusted rate ratio [RR] 1.3; 95% CI, 1.1 to 1.5; P = .006). Risk of a severe psychiatric episode was also increased among survivors (adjusted hazard ratio [HR], 1.2; 95% CI, 1.1 to 1.4, P = .008). Risk of a psychotic disorder–associated severe event was doubled in survivors (HR, 2.0, 95% CI, 1.3 to 2.4; P = .007) although absolute risk remained low (15-year cumulative incidence 1.7%; 95% CI, 1.0 to 2.7). In multivariable analysis, survivors treated in adult centers experienced substantially higher outpatient visit rates compared with those treated in pediatric settings (RR 1.8; 95% CI, 1.0 to 3.1; P = .04). CONCLUSION Survivors of AYA cancer are at substantially increased risk of adverse mental health outcomes, with those treated in adult centers at particular risk. Although absolute incidence was low, survivors were at increased risk of psychotic disorder–associated severe events. Long-term mental health surveillance is warranted, as is research into effective interventions during or after cancer treatment.

scholarly journals Effect of Insurance-Related Factors on the Association between Flooding and Mental Health Outcomes

2019 ◽  
Vol 16 (7) ◽  
pp. 1174 ◽  
Author(s):  
Ranya Mulchandani ◽  
Melissa Smith ◽  
Ben Armstrong ◽  
Charles Beck ◽  
Isabel Oliver ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Outcomes ◽  
Public Health Problem ◽  
Psychological Morbidity ◽  
Mental Health Outcomes ◽  
National Study ◽  
Mild Stress ◽  
Severe Stress ◽  
Post Traumatic Stress ◽  
Related Factors

Floods are a significant public health problem linked with increased psychological morbidity. We aimed to investigate the effect of insurance-related factors on the association between flooding and probable mental health outcomes. We performed a secondary analysis of cross-sectional survey data from the English National Study of Flooding and Health (NSFH) collected two years after an initial flooding event in 2013-14. Our analysis focused on 851 respondents who experienced flooding or disruption. Multivariable logistic regression models were run for each exposure group. Among those whose homes had been flooded, not having household insurance was associated with increased odds of all outcomes compared to those with household insurance, significantly so for post-traumatic stress disorder (PTSD) (aOR 4.31, 95% CI 1.31–14.20). Those who reported severe stress due to insurance issues had increased odds of probable depression (aOR 11.08, 95% CI 1.11–110.30), anxiety (aOR 4.48, 95% CI 1.02–19.70) and PTSD (aOR 7.95, 95% CI 2.10–30.1) compared to those reporting no/mild stress. The study suggests there is increased psychological morbidity amongst the uninsured and those who report feeling severe stress as a result of insurance issues associated with flooding. Services should be prepared to support communities through insurance processes, to reduce probable mental health morbidity following a flood event.

scholarly journals A Nosological Exploration of PTSD and Trauma in Disaster Mental Health and Implications for the COVID-19 Pandemic

2021 ◽  
Vol 11 (1) ◽  
pp. 7
Author(s):  
Carol S. North ◽  
Alina M. Surís ◽  
David E. Pollio
Keyword(s):  
Mental Health ◽  
Health Outcomes ◽  
Diagnostic Criteria ◽  
Traumatic Stress ◽  
Essential Elements ◽  
Mental Health Outcomes ◽  
Medical Illness ◽  
Health Consequences ◽  
Post Traumatic Stress ◽  
Post Traumatic

The coronavirus disease of 2019 (COVID-19) pandemic rapidly spread around the world, resulting in massive medical morbidity and mortality and substantial mental health consequences. Post-traumatic stress disorder (PTSD) is an important psychiatric disorder associated with disasters, and many published scientific articles have reported post-traumatic stress syndromes in populations studied for COVID-19 mental health outcomes. American diagnostic criteria for PTSD have evolved across editions of the manual, and the current definition excludes naturally occurring medical illness (such as viral illness) as a qualifying trauma, ruling out this viral pandemic as the basis for a diagnosis of PTSD. This article provides an in-depth nosological consideration of the diagnosis of PTSD and critically examines three essential elements (trauma, exposure, and symptomatic response) of this diagnosis, specifically applying these concepts to the mental health outcomes of the COVID-19 pandemic. The current criteria for PTSD are unsatisfying for guiding the response to mental health consequences associated with this pandemic, and suggestions are made for addressing the conceptual diagnostic problems and designing research to resolve diagnostic uncertainties empirically. Options might be to revise the diagnostic criteria or consider categorization of COVID-19-related psychiatric syndromes as non-traumatic stressor-related syndromes or other psychiatric disorders.

The Impact of Mobile Application Systems Use on Mental Health Outcomes: A Secondary Analysis of the Effect of Systems Usage on Anxiety, Worry, & Emotional Reactivity Among Participants in the Unwinding Anxiety Program (Preprint)

2021 ◽  
Author(s):  
William Nardi ◽  
Alexandra Roy ◽  
Shira Dunsiger ◽  
Judson Brewer
Keyword(s):  
Mental Health ◽  
Health Outcomes ◽  
Emotional Regulation ◽  
Mobile Application ◽  
Secondary Analysis ◽  
Health Behavior Change ◽  
Mental Health Outcomes ◽  
Interoceptive Awareness ◽  
Point Increase ◽  
The Impact

BACKGROUND Mobile health applications provide a promising avenue to help mitigate the burden on mental health services by complimenting therapist-led treatments for anxiety. However, it remains unclear how specific systems' use of application components (i.e., tools) may be associated with changes in clinical symptomatology (i.e., anxiety, worry). OBJECTIVE This study was a secondary analysis of systems usage data from the Stage I randomized controlled trial testing the impact of the Unwinding Anxiety mobile application among adults with GAD. This secondary analysis was conducted to assess how using specific application tools may be associated with improvements in anxiety, worry, emotional regulation, and interoceptive awareness. METHODS We present analyses of the intervention group (i.e., those who received the Unwinding Anxiety program) during the Stage 1 trial. Total use of specific mobile application tools (i.e., ecological tools, meditation practices, educational modules) as well use specific to each tool (e.g., stress meter, lovingkindness meditation practice) were calculated. We utilized multivariate linear models to investigate the effect of total use of these tools on anxiety, worry, interoceptive awareness, emotional regulation at 2-months post-program initiation controlling for baseline scores, age, and education level. In addition, associations between systems usage metrics and baseline participant characteristics were assessed for differences in usage groupings. RESULTS The sample was primarily female (n=25; 92.6%) and the average age was 42.9 years old (SD=15.6) and educational module completion, the central intervention component, averaged 20.2 + 11.4 modules out of XXX for the total sample. Multivariate models revealed that completing >75% of the program was associated with an average 22.6-point increase in interoceptive awareness (SE=8.32, p=0.013) and an 11.6-point decrease in worry (SE=4.12, p=0.009). In addition, a single log unit change in total number of meditations was associated with a 0.95-point reduction in GAD-7 scores (SE=0.27, p=0.005) while a single log unit use of the stress meter was associated with an average of a 0.5-point increase in emotional regulation scores (FFMQ) (SE=0.21, p=0.027). CONCLUSIONS The work presented offers a clearer understanding of the impact of specific mobile app systems use on mental health outcomes. In addition, this research lays the groundwork for future comprehensive investigations of systems usage in dosing studies for health behavior change. CLINICALTRIAL Developing a Novel Digital Therapeutic for the Treatment of Generalized Anxiety Disorder (NCT03683472).

Longitudinal Effects of Gendered Harassment Perpetration and Victimization on Mental Health Outcomes in Adolescence

2017 ◽  
Vol 35 (23-24) ◽  
pp. 5997-6016 ◽  
Author(s):  
Sarah J. Rinehart ◽  
Dorothy L. Espelage ◽  
Kristen L. Bub
Keyword(s):  
Mental Health ◽  
Sexual Harassment ◽  
Health Outcomes ◽  
Mental Health Outcomes ◽  
Depression Symptoms ◽  
Negative Outcomes ◽  
Cross Sectional ◽  
The Impact ◽  
Homophobic Name Calling ◽  
Gendered Harassment

Gendered harassment, including sexual harassment and homophobic name-calling, is prevalent in adolescents and is linked to negative outcomes including depression, anxiety, suicidality, substance abuse, and personal distress. However, much of the extant literature is cross-sectional and rarely are perpetrators of these behaviors included in studies of outcomes. Therefore, the current study examined the effects of longitudinal changes in gendered harassment perpetration and victimization on changes in mental health outcomes among a large sample of early adolescents. Given that these behaviors commonly occur in the context of a patriarchal society (males hold power), we also investigated the impact of gender on gendered harassment. Participants included 3,549 students from four Midwestern middle schools (50.4% female, 49% African American, 34% White) at two time points (13 and 17 years old). Results indicated that increases from age 13 to 17 years in sexual harassment perpetration and victimization and homophobic name-calling perpetration and victimization predicted increases in depression symptoms and substance use. Gender did not moderate these pathways. These findings highlight that negative outcomes are associated with changes in gendered harassment among adolescents and emphasize the importance of prevention efforts. Implications for school interventions are discussed.

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