scholarly journals Associations between clusters of perceived social support level, depression, and suicidal ideation among transgender women: a latent class analysis

2021 ◽  
Author(s):  
Pankaew Tantirattanakulchai ◽  
Nuchanad Hounnaklang
Keyword(s):  
Public Health ◽  
Social Support ◽  
Logistic Regression ◽  
Suicidal Ideation ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Perceived Social Support ◽  
Transgender Women ◽  
Class Analysis ◽  
Multivariable Logistic Regression

Background: Suicide is recognized as a pivotal public health issue and has become a significant cause of death worldwide. Transgender persons are at greater risk of suicide than the general population. This study aims to identify suicidal ideation in transgender women according to clusters of depressive symptoms, and levels of perceived social support using latent class analysis (LCA), and identify associations between the identified classes and suicidal ideation.Design and methods: This cross-sectional study was conducted between March 2019 and May 2019 using the snowball sampling method in a sample of 280 transgender women in Bangkok, Thailand. Data were collected using a self-administered questionnaire, and LCA was performed according to the level of perceived social support and depression. The questionnaire included the following: demographic information, measures of social support (MSPSS), depression (CES-D), and suicidal ideation (C-SSRS). Multivariable logistic regression was used to examine the associations between the identified classes and suicidal ideation.Results: The multivariable logistic regression analysis showed that suicidal ideation was significantly associated with perceived moderate social support with depression (class 1; odds ratio [OR] 5.57, 95% confidence interval [CI] 2.64–11.71; p < 0.001) and perceived low social support with depression (class 4; OR 4.55, 95% CI 1.67–12.42; p = 0.003) after adjusting for income sufficiency, chronic disease, and alcohol drinking.Conclusion: The findings indicate that less perceived social support and depression significantly increased suicidal ideation among transgender women. To tackle this issue efficiently, it is necessary for public health service providers, parties, and individuals concerned to collaborate and prioritize key agendas that support the social and psychological aspects of transgender women.

scholarly journals Social inequalities in multimorbidity among European population

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
J Alvarez-Galvez ◽  
V Suarez-Lledo ◽  
J Almenara-Barrios ◽  
C O'Ferral-Gonzalez ◽  
C Lagares-Franco ◽  
...  
Keyword(s):  
Public Health ◽  
Life Expectancy ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Social Inequalities ◽  
Class Analysis ◽  
Socioeconomic Groups ◽  
Disease Patterns ◽  
The World ◽  
Public Health Strategies

Abstract Background Life expectancy has increased dramatically in all regions of the world over the last years. The average life expectancy in Western Europe was 79 years for males and 84 years for females in 2018. Consequently, the number of people suffering (or at risk of) long-term conditions, such as diabetes, heart disease, musculoskeletal disorders, mental health conditions, or cancer is also rising rapidly. Multimorbidity can be defined as the presence of two or more chronic medical conditions in an individual and is one of the main challenges facing governments and healthcare systems around the world. This health condition is associated with a lower quality of life, increased disability, functional decline, higher healthcare utilisation and fragmentation of care, complex treatment, and higher mortality. This study is aimed to identify the underlying determinants of social inequalities in multimorbidity. Methods We used latent class analysis to identify multimorbidity subgroups with interdependent disease patterns using the European Social Survey. The statistical model was based on 13 chronic diseases: heart problem, high blood pressure, breathing problems, allergies, back or neck pain, muscular or joint pain in hand or arm, muscular pain in foot or leg, stomach or digestion related, skin condition, severe headaches, diabetes, cancer, and obesity. Results Specific multimorbidity classes with singular disease patterns were identified among different socioeconomic groups the in the latent class analysis. The study showed that some disease combinations were more prevalent between different socioeconomic groups and countries. In particular, musculoskeletal diseases and cardiovascular diseases were found to be the most prevalent multimorbidity classes in Europe. Conclusions These findings suggests that tailored public health strategies are needed to address social inequalities in multimorbidity. Key messages Multimorbidity patterns present a different distribution depending on socioeconomic characteristics of population. Tailored public health strategies are needed to address social inequalities in multimorbidity.

Perceived social support and its relationship with depression among Bangkok's trans women

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pankaew Tantirattanakulchai ◽  
Nuchanad Hounnaklang
Keyword(s):  
Social Support ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Transgender Women ◽  
Multivariable Logistic Regression Analysis ◽  
Snowball Sampling ◽  
Content Type ◽  
Multivariable Logistic Regression ◽  
Prevalence Of Depression

PurposeThe purpose of this paper is to evaluate the prevalence of depression and to determine the association between social support and depression among transgender women in Bangkok, Thailand.Design/methodology/approachA cross-sectional study was conducted among 280 transgender women in Bangkok, Thailand between March 2019 and May 2019 using the snowball sampling method. Data were collected through a self-administered questionnaire. The questionnaire included demographic questions and measures of social support (MSPSS) and depression (CES-D). Multivariable logistic regression analysis was employed to explore the association between social support and depression.FindingsThe prevalence of depression among transgender women was 58.2%. Multivariable logistic regression analysis indicated that depression was significantly associated with perceived low social support (OR: 9.55, 95%CI: 2.10–43.39) and moderate social support (OR: 2.03, 95%CI: 1.19–3.46) after being adjusted for religion, sufficient income and alcohol drinking.Originality/valueTransgender women were prone to experience a higher prevalence of depression than the general population. Social support would reduce the risk of depression among transgender women. Therefore, social support service systems for transgender women should be embedded into organizations concerned.

scholarly journals Suicidal ideation and behavior in institutions of higher learning: A latent class analysis

2017 ◽  
Vol 95 ◽  
pp. 253-259 ◽  
Author(s):  
Joel Bernanke ◽  
Hanga C. Galfalvy ◽  
Maggie G. Mortali ◽  
Laura A. Hoffman ◽  
Christine Moutier ◽  
...  
Keyword(s):  
Suicidal Ideation ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Higher Learning ◽  
Class Analysis ◽  
Institutions Of Higher Learning ◽  
And Behavior

scholarly journals Patterns of overkill in sexual homicides

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Julien Chopin ◽  
Eric Beauregard
Keyword(s):  
Logistic Regression ◽  
Latent Class Analysis ◽  
Design Methodology ◽  
Latent Class ◽  
Class Analysis ◽  
Regression Analyses ◽  
Sexual Homicide ◽  
Content Type ◽  
Process Characteristics ◽  
Binomial Regression

Purpose This paper aims to explore the presence of overkill in sexual homicide. More specifically, the study examines whether overkill is a valid indicator of an organized or disorganized sexual homicide. Moreover, the study tests the presence of various patterns of sexual homicide involving overkill. Design/methodology/approach The sample used in this study consists of 662 cases of extrafamilial SHs with (n = 145) and without (n = 517) evidence of overkill, respectively. A binomial regression was used to compare at the multivariate level the two groups of crimes, while a latent class analysis was used to determine whether overkill could be associated with different patterns of sexual homicide. Findings Findings from bivariate and logistic regression analyses show that the presence of overkill may be associated with both organized and disorganized sexual homicides. Moreover, latent class analysis suggests that there are three distinct patterns of overkill in sexual homicide: impulsive, sadistic and personal. Originality/value This study is the first to empirically analyze overkill in sexual homicides and to propose a classification using crime-commission process characteristics.

scholarly journals Public attitudes toward an authorization for contact program for clinical research

2020 ◽  
Author(s):  
Nyiramugisha K Niyibizi ◽  
Candace D Speight ◽  
Charlie Gregor ◽  
Yi-An Ko ◽  
Stephanie A Kraft ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Public Attitudes ◽  
Electronic Record ◽  
Class Analysis ◽  
Lower Odds ◽  
Interest In Research ◽  
Record Review ◽  
Experimental Survey

Abstract We conducted an online experimental survey to evaluate attitudes toward an authorization for contact (AFC) program allowing researchers to contact patients about studies based on electronic record review. A total of 1070 participants were randomly assigned to 1 of 3 flyers varying in design and framing. Participants were asked to select concerns about and reasons for signing up for AFC. Logistic regression and latent class analysis were conducted. The most commonly selected concerns included needing more information (43%), privacy (40%), and needing more time to think (28%). A minority were not interested in participating in research (16%) and did not want to be bothered (15%). Latent class analysis identified clusters with specific concerns about privacy, lack of interest in research, and not wanting to be bothered. A novel flyer with simple and positive framing was associated with lower odds of both not wanting to be bothered (P = .01) and not being interested in research (P = .01). Many concerns about AFC programs appear nonspecific. Addressing privacy, lack of interest in research, and not wanting to be bothered warrant further study as ways to enhance recruitment.

Latent class analysis of bipolar disorder symptoms and suicidal ideation and behaviors

2020 ◽  
Author(s):  
Josephine S. Au ◽  
Ana Martinez de Andino ◽  
Yara Mekawi ◽  
Madison W. Silverstein ◽  
Dorian A. Lamis
Keyword(s):  
Bipolar Disorder ◽  
Suicidal Ideation ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Class Analysis ◽  
And Behaviors
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