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1.
BJPsych Open ; 9(1): e6, 2022 Dec 21.
Article in English | MEDLINE | ID: mdl-36539265

ABSTRACT

BACKGROUND: Suicide is one of the leading causes of preventable death in the USA, representing a critical public health threat. Suicide risks differ for different populations. In particular, the sexual and gender minority (SGM) population remains at increased risk for suicide. One of the circumstances that may differ for SGM and non-SGM individuals is the propensity to leave a suicide note. Information regarding note-leaving may be helpful in informing suicide prevention and intervention. AIMS: This study documents the differences in note-leaving in SGM individuals compared with non-SGM individuals, using recent data from the National Violent Death Reporting System (N = 98 515) and accounting for important covariates. METHOD: We fit a logistic regression model with SGM status and covariates predicting note-leaving in suicide. RESULTS: SGM decedents were 1.508 times more likely to leave a note than their non-SGM counterparts, controlling for demographic, mental health and substance use covariates. CONCLUSIONS: These findings highlight the importance of tailoring suicide prevention and intervention efforts to meet the needs of SGM populations.

2.
Int J Behav Dev ; 46(2): 125-141, 2022 Mar.
Article in English | MEDLINE | ID: mdl-38406589

ABSTRACT

Researchers in behavioral sciences are often interested in longitudinal behavior change outcomes and the mechanisms that influence changes in these outcomes over time. The statistical models that are typically implemented to address these research questions do not allow for investigation of mechanisms of dynamic change over time. However, latent change score models allow for dynamic change (not just linear or exponential change) over time and have flexibility in parameter constraints that other longitudinal models do not have. Developmental researchers also frequently utilize mediation analyses to investigate mechanisms of influence in longitudinal research implemented in path analytic or latent growth curve models. In this article, we provide three examples of how mediation can be tested in the latent change score framework by combining aspects of traditional mediation models with latent change score models of repeated measures outcomes (and mediators and predictors) with more than two timepoints. We also provide the Mplus syntax to complete these analyses and practical considerations of latent change score mediation (LCSM) models.

3.
J Youth Adolesc ; 48(8): 1555-1566, 2019 Aug.
Article in English | MEDLINE | ID: mdl-31115785

ABSTRACT

Future orientation has been established as having positive associations with health and educational outcomes for adolescents exposed to violence. However, conceptualizations of future orientation have been inconsistent. This study uses latent profile analysis to understand the interrelationships between measures of future orientation (e.g., commitment to learning, goal orientation, hope, expectancies, fatalism). Participants were 188 primarily African American male early adolescents ranging from 10 to 15 years old (60.6% male; Mage = 12.87, SDage = 1.52). Adolescents in the high- and low-future orientation profiles differed on academic behaviors and aggressive behavior. A discordant profile emerged with adolescents moderate on all measures of future orientation except expectancies. Relational aspects of parenting were associated with higher likelihood of adolescents being assigned to the high- and low-future orientation profiles. These findings suggest the importance of parental warmth in promoting future orientation for adolescents in risky environments, as improving future orientation might mitigate risk for future negative academic comes or engagement in violent behavior.


Subject(s)
Crime Victims , Adolescent , Adolescent Behavior , Black or African American , Aggression , Child , Female , Humans , Male , Parenting , Violence
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