John Blosnich

Dr. John Blosnich

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Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2014 in American Journal of Preventive Medicine
Verified
Journal Article
Closed access
JBJohn Blosnich
John Blosnich
GFGrant W. Farmer
Grant W. Farmer
JLJoseph Lee
Joseph Lee
VSVincent M.B. Silenzio
Vincent M.B. Silenzio
DBDeborah J. Bowen
Deborah J. Bowen

1 September 2014 in JAMA Psychiatry
Verified
Journal Article
Open access
PDF file
JBJohn Blosnich
John Blosnich
MDMelissa E. Dichter
Melissa E. Dichter
CCCatherine Cerulli
Catherine Cerulli
SBSonja V. Batten
Sonja V. Batten
RBRobert M. Bossarte
Robert M. Bossarte
Previous research about adverse childhood experiences (ACEs) clarifies the serious public health ramifications of early-life stressors, such as divorce, household substance abuse, and sexual abuse, on future health and wellness as children transition into adolescence and adulthood.1,2 Examples of such adulthood health consequences include posttraumatic stress disorder,3 substance use,4-6 attempted suicide,7-10 physical health conditions (such as lung cancer11 and liver disease12), and decreased life expectancy by up to 20 years.13 Persons with a history of military service may be a specific subpopulation of interest regarding ACEs because some may enlist to escape personal problems, such as household dysfunction or abuse,14-16 thereby potentially elevating the prevalence of ACEs among military populations. Perhaps more important, military service may expose persons with a history of trauma to additional trauma (eg, combat and military sexual trauma), which may additively elevate risks of poor mental health and suicide.17-19 However, the prevalence of childhood adversity among US military and veteran populations is largely unknown.

19 November 2019 in Journal of General Internal Medicine
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Journal Article
Closed access
PDF file
JBJohn Blosnich
John Blosnich
AMAnn Elizabeth Montgomery
Ann Elizabeth Montgomery
MDMelissa E. Dichter
Melissa E. Dichter
AGAdam J. Gordon
Adam J. Gordon
DKDio Kavalieratos
Dio Kavalieratos
RBRobert M. Bossarte
Robert M. Bossarte

21 May 2020 in American Journal of Public Health
Verified
Journal Article
Closed access
JBJohn Blosnich
John Blosnich
EHEmmett R. Henderson
Emmett R. Henderson
RCRobert W. S. Coulter
Robert W. S. Coulter
JGJeremy T. Goldbach
Jeremy T. Goldbach
IMIlan H. Meyer
Ilan H. Meyer
Objectives. To examine how sexual orientation change efforts (SOCE) are associated with suicide morbidity after controlling for adverse childhood experiences (ACEs). Methods. Cross-sectional survey data are from the Generations survey, a nationally representative sample of 1518 nontransgender sexual minority adults recruited between March 28, 2016, and March 30, 2018, in the United States. Self-identified transgender individuals were included in a separate, related TransPop study. We used weighted multiple logistic regression analyses to assess the independent association of SOCE with suicidal ideation and suicide attempt while controlling for demographics and ACEs. Results. Approximately 7% experienced SOCE; of them, 80.8% reported SOCE from a religious leader. After adjusting for demographics and ACEs, sexual minorities exposed to SOCE had nearly twice the odds of lifetime suicidal ideation, 75% increased odds of planning to attempt suicide, and 88% increased odds of a suicide attempt with minor injury compared with sexual minorities who did not experience SOCE. Conclusions. Over the lifetime, sexual minorities who experienced SOCE reported a higher prevalence of suicidal ideation and attempts than did sexual minorities who did not experience SOCE. Public Health Implications. Evidence supports minimizing exposure of sexual minorities to SOCE and providing affirming care with SOCE-exposed sexual minorities.

1 March 2016 in American Journal of Public Health
Verified
Journal Article
Closed access
JBJohn Blosnich
John Blosnich
MMMary C. Marsiglio
Mary C. Marsiglio
SGShasha Gao
Shasha Gao
AGAdam J. Gordon
Adam J. Gordon
JSJillian C. Shipherd
Jillian C. Shipherd
MFMichael J. Fine
Michael J. Fine
Objectives. To examine whether indicators of community- and state-level lesbian, gay, bisexual, and transgender equality are associated with transgender veterans’ mental health.Methods. We extracted Veterans Administration data for patients who were diagnosed with gender identity disorder, had at least 1 visit in 2013, and lived in a zip code with a Municipality Equality Index score (n = 1640). We examined the associations of whether a state included transgender status in employment nondiscrimination laws and in hate crimes laws with mood disorders; alcohol, illicit drug, and tobacco use disorders; posttraumatic stress disorder; and suicidal ideation or attempt.Results. Nearly half (47.3%) of the sample lived in states with employment discrimination protection, and 44.8% lived in states with hate crimes protection. Employment nondiscrimination protection was associated with 26% decreased odds of mood disorders (adjusted odds ratio [AOR] = 0.74; 95% confidence interval [CI] = 0.59, 0.93) and 43% decreased odds of self-directed violence (AOR = 0.57; 95% CI = 0.34, 0.95).Conclusions. Understanding lesbian, gay, bisexual, and transgender social stressors can inform treatment and care coordination for transgender populations.

4 April 2018 in Journal of the American Medical Informatics Association
Verified
Journal Article
Open access
PDF file
JBJohn Blosnich
John Blosnich
JCJohn Cashy
John Cashy
AGAdam J Gordon
Adam J Gordon
JSJillian C Shipherd
Jillian C Shipherd
MKMichael R Kauth
Michael R Kauth
MFMichael J Fine
Michael J Fine
Objective: Transgender individuals are vulnerable to negative health risks and outcomes, but research remains limited because data sources, such as electronic medical records (EMRs), lack standardized collection of gender identity information. Most EMR do not include the gold standard of self-identified gender identity, but International Classification of Diseases (ICDs) includes diagnostic codes indicating transgender-related clinical services. However, it is unclear if these codes can indicate transgender status. The objective of this study was to determine the extent to which patients’ clinician notes in EMR contained transgender-related terms that could corroborate ICD-coded transgender identity. Methods: Data are from the US Department of Veterans Affairs Corporate Data Warehouse. Transgender patients were defined by the presence of ICD9 and ICD10 codes associated with transgender-related clinical services, and a 3:1 comparison group of nontransgender patients was drawn. Patients’ clinician text notes were extracted and searched for transgender-related words and phrases. Results: Among 7560 patients defined as transgender based on ICD codes, the search algorithm identified 6753 (89.3%) with transgender-related terms. Among 22 072 patients defined as nontransgender without ICD codes, 246 (1.1%) had transgender-related terms; after review, 11 patients were identified as transgender, suggesting a 0.05% false negative rate. Conclusions: Using ICD-defined transgender status can facilitate health services research when self-identified gender identity data are not available in EMR.