Asthma and Suicidal Ideation Among Youth in the Community

Crisis ◽  
2004 ◽  
Vol 25 (3) ◽  
pp. 99-102 ◽  
Author(s):  
Renee D. Goodwin ◽  
Andrej Marušič

Summary: Objective: To determine the association between asthma and suicidal ideation among youth in the community. Method: Data were drawn from the MECA (n = 1285), a community-based study of youth aged 9-17 in the United States. Multiple logistic regression analyses were used to determine the association between asthma and suicidal ideation, adjusting for differences in sociodemographic characteristics and mental disorders. Results: Asthma was associated with a significantly increased likelihood of suicidal ideation (OR = 3.25 ‘1.04, 10.1’), compared to youth without asthma. Conclusions: These data suggest that youth who are hospitalized for asthma may have higher than expected levels of suicidal ideation, compared with youth without asthma in the community. This association appears to persist after controlling for the effects of comorbid mental disorders. These findings are consistent with previous clinical reports of an association between physical illness and suicidal ideation, as well as with links between asthma and suicidal ideation among adults. More in-depth evaluation of the mental health of youth hospitalized for asthma may be indicated if these results are replicated.

Crisis ◽  
2011 ◽  
Vol 32 (6) ◽  
pp. 346-351 ◽  
Author(s):  
Renee D. Goodwin ◽  
Andrej Marusic

Background: There is a well-known association between perception of poor physical health and higher rates of physical and psychological morbidity. However, little is known about the possible link between perception of health and suicidality. Aims: The study examines the relationship between perception of poor health and suicidal ideation and suicide attempt among adults in the community. Methods: Data were drawn from the National Comorbidity Survey (n = 5,877), a representative sample of individuals 15–54 years of age in the United States. Multiple logistic regression analyses were used to determine the relationship between perception of poor health and the likelihood of suicidal ideation and suicide attempt. Sociodemographic characteristics, comorbid mental disorders, and physical illnesses were adjusted for in the final model. Results: Perception of poor health was associated with a significantly increased likelihood of suicidal ideation (OR = 2.14 (1.36, 3.35) and suicide attempt (OR = 2.03 (1.06, 3.91)), which persisted after adjusting for differences in sociodemographic characteristics, mental disorders, and self-reported physical illnesses. Conclusions: Our findings provide initial evidence that perception of poor health is associated with a significantly increased likelihood of suicidal ideation and suicide attempt among adults in the community.


Author(s):  
Eyal Kalanthroff ◽  
Gideon E. Anholt ◽  
Helen Blair Simpson

This chapter discusses the Research Domain Criteria (RDoC) project, an initiative of the National Institutes of Mental Health (NIMH) of the United States to develop for research purposes new ways of classifying mental disorders based on dimensions of observable behavior and neurobiological measures, and explores how the hallmark symptoms of OCD (obsessions, compulsions, and anxiety) can be mapped onto RDoC domains. Unlike current categorical diagnostic systems (e.g., DSM), RDoC seeks to integrate many levels of information (from genomics to self-report) to validate dimensions defined by neurobiology and behavioral measures that cut across current disorder categories. The chapter explores, for heuristic reasons, how the RDoC matrix might be used to elucidate the neurobehavioral domains of dysfunction that lead to the characteristic symptoms of OCD. It then selectively reviews the OCD literature from the perspective of the RDoC domains, aiming to guide future transdiagnostic studies to examine specific neurobehavioral domains across disorders.


CNS Spectrums ◽  
2020 ◽  
Vol 25 (5) ◽  
pp. 638-650 ◽  
Author(s):  
Joel A. Dvoskin ◽  
James L. Knoll ◽  
Mollie Silva

This article traces the history of the way in which mental disorders were viewed and treated, from before the birth of Christ to the present day. Special attention is paid to the process of deinstitutionalization in the United States and the failure to create an adequately robust community mental health system to care for the people who, in a previous era, might have experienced lifelong hospitalization. As a result, far too many people with serious mental illnesses are living in jails and prisons that are ill-suited and unprepared to meet their needs.


2015 ◽  
Vol 18 (4) ◽  
pp. 828-835 ◽  
Author(s):  
Trong Ao ◽  
Sharmila Shetty ◽  
Teresa Sivilli ◽  
Curtis Blanton ◽  
Heidi Ellis ◽  
...  

10.2196/19347 ◽  
2020 ◽  
Vol 7 (6) ◽  
pp. e19347 ◽  
Author(s):  
Nicholas C Jacobson ◽  
Damien Lekkas ◽  
George Price ◽  
Michael V Heinz ◽  
Minkeun Song ◽  
...  

Background The coronavirus disease (COVID-19) has led to dramatic changes worldwide in people’s everyday lives. To combat the pandemic, many governments have implemented social distancing, quarantine, and stay-at-home orders. There is limited research on the impact of such extreme measures on mental health. Objective The goal of this study was to examine whether stay-at-home orders produced differential changes in mental health symptoms using internet search queries on a national scale. Methods In the United States, individual states vary in their adoption of measures to reduce the spread of COVID-19; as of March 23, 2020, 11 of the 50 states had issued stay-at-home orders. The staggered rollout of stay-at-home measures across the United States allows us to investigate whether these measures impact mental health by exploring variations in mental health search queries across the states. This paper examines the changes in mental health search queries on Google between March 16-23, 2020, across each state and Washington, DC. Specifically, this paper examines differential changes in mental health searches based on patterns of search activity following issuance of stay-at-home orders in these states compared to all other states. The participants were all the people who searched mental health terms in Google between March 16-23. Between March 16-23, 11 states underwent stay-at-home orders to prevent the transmission of COVID-19. Outcomes included search terms measuring anxiety, depression, obsessive-compulsive, negative thoughts, irritability, fatigue, anhedonia, concentration, insomnia, and suicidal ideation. Results Analyzing over 10 million search queries using generalized additive mixed models, the results suggested that the implementation of stay-at-home orders are associated with a significant flattening of the curve for searches for suicidal ideation, anxiety, negative thoughts, and sleep disturbances, with the most prominent flattening associated with suicidal ideation and anxiety. Conclusions These results suggest that, despite decreased social contact, mental health search queries increased rapidly prior to the issuance of stay-at-home orders, and these changes dissipated following the announcement and enactment of these orders. Although more research is needed to examine sustained effects, these results suggest mental health symptoms were associated with an immediate leveling off following the issuance of stay-at-home orders.


Author(s):  
Nicholas C Jacobson ◽  
Damien Lekkas ◽  
George Price ◽  
Michael V Heinz ◽  
Minkeun Song ◽  
...  

BACKGROUND The coronavirus disease (COVID-19) has led to dramatic changes worldwide in people’s everyday lives. To combat the pandemic, many governments have implemented social distancing, quarantine, and stay-at-home orders. There is limited research on the impact of such extreme measures on mental health. OBJECTIVE The goal of this study was to examine whether stay-at-home orders produced differential changes in mental health symptoms using internet search queries on a national scale. METHODS In the United States, individual states vary in their adoption of measures to reduce the spread of COVID-19; as of March 23, 2020, 11 of the 50 states had issued stay-at-home orders. The staggered rollout of stay-at-home measures across the United States allows us to investigate whether these measures impact mental health by exploring variations in mental health search queries across the states. This paper examines the changes in mental health search queries on Google between March 16-23, 2020, across each state and Washington, DC. Specifically, this paper examines differential changes in mental health searches based on patterns of search activity following issuance of stay-at-home orders in these states compared to all other states. The participants were all the people who searched mental health terms in Google between March 16-23. Between March 16-23, 11 states underwent stay-at-home orders to prevent the transmission of COVID-19. Outcomes included search terms measuring anxiety, depression, obsessive-compulsive, negative thoughts, irritability, fatigue, anhedonia, concentration, insomnia, and suicidal ideation. RESULTS Analyzing over 10 million search queries using generalized additive mixed models, the results suggested that the implementation of stay-at-home orders are associated with a significant flattening of the curve for searches for suicidal ideation, anxiety, negative thoughts, and sleep disturbances, with the most prominent flattening associated with suicidal ideation and anxiety. CONCLUSIONS These results suggest that, despite decreased social contact, mental health search queries increased rapidly prior to the issuance of stay-at-home orders, and these changes dissipated following the announcement and enactment of these orders. Although more research is needed to examine sustained effects, these results suggest mental health symptoms were associated with an immediate leveling off following the issuance of stay-at-home orders.


Author(s):  
Gayathri S. Kumar ◽  
Gwen Soffer ◽  
Danielle Begg

ABSTRACT Persons who are refugees may experience mental health concerns, such as posttraumatic stress disorder and depression, due to multiple layers of trauma experienced before, during, and after fleeing their country of origin. Although several health system– and community-based mental health interventions have been found to be effective in improving mental health outcomes among persons who are refugees in the United States, these services are underutilized among refugees. Movement-based and mind body–focused practices, such as yoga, may play an important role as complementary mental health supports for refugees. Data on the effectiveness of these practices in these populations are limited, and further research is needed. However, these practices can still be introduced in a safe way by trained professionals and offered as adjunctive therapeutic approaches to traditional Western psychotherapy options. We offer recommendations for clinical providers working with persons who are refugees and for movement-based facilitators and therapists on how to introduce these practices to resettled refugee populations in the United States.


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