Stressful Life Event Experiences of Pregnant Women in the United States: A Latent Class Analysis

2017 ◽  
Vol 27 (1) ◽  
pp. 83-92 ◽  
Author(s):  
Soumyadeep Mukherjee ◽  
Stefany Coxe ◽  
Kristopher Fennie ◽  
Purnima Madhivanan ◽  
Mary Jo Trepka
Keyword(s):  
United States ◽  
Latent Class Analysis ◽  
Pregnant Women ◽  
Latent Class ◽  
Stressful Life Event ◽  
The United States ◽  
Stressful Life ◽  
Class Analysis ◽  
Life Event

scholarly journals Adverse event reports in patients taking psychiatric medication during pregnancy from spontaneous reports in Japan and the United States: an approach using latent class analysis

2020 ◽  
Author(s):  
Tatsuhiko Anzai ◽  
Kunihiko Takahashi ◽  
Michiko Watanabe ◽  
Mayumi Mochizuki ◽  
Atsuko Murashima
Keyword(s):  
United States ◽  
Adverse Event ◽  
Latent Class Analysis ◽  
Pregnant Women ◽  
Latent Class ◽  
The United States ◽  
Drug Event ◽  
Psychiatric Medication ◽  
Class Analysis ◽  
Spontaneous Reports

Abstract Background: Little is known regarding the association between adverse events (AEs) and psychiatric medications administered to pregnant women in clinical trials during the pre-marketing period. This study analyzes reports of AE association with psychiatric medication administrated during pregnancy using post-marketing spontaneous reports of AE from the Japanese Adverse Drug Event Report (JADER) database and Food and Drug Administration Adverse Event Reporting System in the United States (FAERS-US). Methods: We summarized AE reports of psychiatric medication administrated during pregnancy by comparing data obtained from JADER and FAERS-US databases with medication patterns determined as classes via latent class analysis. The odds ratios (ORs) of AE reports categorized into system organ classes in which each class was compared with those without psychiatric medications. Results: The proportions of AE reports under psychiatric medication in pregnancy among all AE reports were 22.0% and 16.6% in JADER and FAERS-US, respectively. The 10,389 reports of psychiatric medication during pregnancy were classified into 11 classes. The proportion of patients receiving four or more psychiatric drugs in JADER was larger than that in FAERS-US. The maximum number of reports in combinations of AE and medication pattern in JADER was 169, for ‘general disorders and administration site conditions’ from the class of four or more medications (OR = 9.1), while that in FAERS-US was 1,654, for ‘injury, poisoning, and procedural complications’ from the class of single psychiatric medication (OR = 2.8). Conclusions: The main AE reports and associated AE differed depending on medication patterns in pregnant women taking psychiatric medication. This study may provide a prediction of AEs that are likely to be reported with each medication pattern. Our findings of the association between AE reports and medication patterns could help improve the administration of psychiatric medications during pregnancy, though further research on additional datasets is needed to clarify these results.

A national study of the availability of law enforcement agency wellness programming for officers: A latent class analysis

2021 ◽  
pp. 146135572110640
Author(s):  
Bruce G Taylor ◽  
Weiwei Liu ◽  
Elizabeth A. Mumford
Keyword(s):  
Mental Health ◽  
United States ◽  
Substance Use ◽  
Law Enforcement ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Wellness Programs ◽  
The United States ◽  
Substance Use Treatment ◽  
Class Analysis

The purpose of this study is to understand the availability of employee wellness programs within law enforcement agencies (LEAs) across the United States, including physical fitness, resilience/wellness, coping skills, nutrition, mental health treatment, and substance use treatment. The research team investigated whether patterns of LEA wellness programming are identifiable and, if so, what characteristics describe these patterns. We assess using latent class analysis whether there are distinct profiles of agencies with similar patterns offering different types of wellness programs and explore what characteristics distinguish agencies with certain profiles of wellness programming. Data were from a nationally representative sample of 1135 LEAs: 80.1% municipal, 18.6% county and 1.3% other agencies (state-level and Bureau of Indian Affairs LEAs). We found that many agencies (62%) offer no wellness programming. We also found that 23% have comprehensive wellness programming, and that another group of agencies specialize in specific wellness programming. About 14% of the agencies have a high probability of providing resilience coping skill education, mental health and/or substance use treatment services programming. About 1% of the agencies in the United States limit their programming to fitness and nutrition, indicating that fitness and nutrition programs are more likely to be offered in concert with other types of wellness programs. The analyses revealed that agencies offering broad program support are more likely to be large, municipal LEAs located in either the West, Midwest or Northeast (compared with the southern United States), and not experiencing a recent budget cut that impacted wellness programming.

scholarly journals Patterns of high-intensity drinking among young adults in the United States: A repeated measures latent class analysis

2017 ◽  
Vol 74 ◽  
pp. 134-139 ◽  
Author(s):  
Megan E. Patrick ◽  
Yvonne M. Terry-McElrath ◽  
John E. Schulenberg ◽  
Bethany C. Bray
Keyword(s):  
United States ◽  
Young Adults ◽  
Latent Class Analysis ◽  
High Intensity ◽  
Repeated Measures ◽  
Latent Class ◽  
The United States ◽  
Class Analysis

Predominant typologies of psychopathology in the United States: A latent class analysis

2013 ◽  
Vol 47 (11) ◽  
pp. 1649-1657 ◽  
Author(s):  
Renée El-Gabalawy ◽  
Jack Tsai ◽  
Ilan Harpaz-Rotem ◽  
Rani Hoff ◽  
Jitender Sareen ◽  
...  
Keyword(s):  
United States ◽  
Latent Class Analysis ◽  
Latent Class ◽  
The United States ◽  
Class Analysis

scholarly journals Health Beliefs and Preventive Behaviors Among Adults During the Early COVID-19 Pandemic in the United States: a Latent Class Analysis

2021 ◽  
Author(s):  
Emily Smail ◽  
Kristin E. Schneider ◽  
Stephanie M. DeLong ◽  
Kalai Willis ◽  
Renata Arrington-Sanders ◽  
...  
Keyword(s):  
United States ◽  
Latent Class Analysis ◽  
Health Beliefs ◽  
Latent Class ◽  
The United States ◽  
Class Analysis ◽  
Preventive Behaviors

scholarly journals Latent Class Analysis of Students’ Science Motivation: A Comparison Between the United States and China

2020 ◽  
Vol 8 (2) ◽  
pp. 97
Author(s):  
Wenjuan Sang ◽  
Adam Maltese
Keyword(s):  
United States ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Family Background ◽  
Multinomial Logistic Regression ◽  
The United States ◽  
Linear Increase ◽  
Learning Science ◽  
Class Analysis ◽  
Science Motivation

Using latent class analysis (LCA), we examine the potential ways of classifying students’ science motivation in the United States and China using data from PISA 2015. Based on a set of nine observed variables of science motivation, we identify three subgroups of cases varied in their internal patterns of motivation, covering, respectively, 24.78%, 12.85%, and 62.37% of the entire sample size. Instead of classifying students into groups with a linear increase in motivation scores, latent class analysis shows that there are students who feel pure enjoyment in learning science but do not associate science with their future careers (Class 1), students who do not like learning science but believe science is important to their future (Class 2), and students who have both high enjoyment and the prospect of doing science for a living in the future (Class 3). Multinomial logistic regression reveals that science motivation groups are significantly affected by gender, nationality, and family background.

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