scholarly journals Community patterns of stigma towards persons living with HIV: A population-based latent class analysis from rural Vietnam

2011 ◽  
Vol 11 (1) ◽  
Author(s):  
Anastasia Pharris ◽  
Nguyen Phuong Hoa ◽  
Carol Tishelman ◽  
Gaetano Marrone ◽  
Nguyen Thi Kim Chuc ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Population Based ◽  
Class Analysis ◽  
Community Patterns ◽  
Persons Living With Hiv ◽  
Living With Hiv

scholarly journals Estimates and Determinants of SARS-Cov-2 Seroprevalence and Infection Fatality Ratio Using Latent Class Analysis: The Population-Based Tirschenreuth Study in the Hardest-Hit German County in Spring 2020

Viruses ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1118
Author(s):  
Ralf Wagner ◽  
David Peterhoff ◽  
Stephanie Beileke ◽  
Felix Günther ◽  
Melanie Berr ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Care Home ◽  
Case Fatality ◽  
The Elderly ◽  
Population Based ◽  
Class Analysis ◽  
Population Based Study ◽  
Targeted Testing ◽  
June July

SARS-CoV-2 infection fatality ratios (IFR) remain controversially discussed with implications for political measures. The German county of Tirschenreuth suffered a severe SARS-CoV-2 outbreak in spring 2020, with particularly high case fatality ratio (CFR). To estimate seroprevalence, underreported infections, and IFR for the Tirschenreuth population aged ≥14 years in June/July 2020, we conducted a population-based study including home visits for the elderly, and analyzed 4203 participants for SARS-CoV-2 antibodies via three antibody tests. Latent class analysis yielded 8.6% standardized county-wide seroprevalence, a factor of underreported infections of 5.0, and 2.5% overall IFR. Seroprevalence was two-fold higher among medical workers and one third among current smokers with similar proportions of registered infections. While seroprevalence did not show an age-trend, the factor of underreported infections was 12.2 in the young versus 1.7 for ≥85-year-old. Age-specific IFRs were <0.5% below 60 years of age, 1.0% for age 60–69, and 13.2% for age 70+. Senior care homes accounted for 45% of COVID-19-related deaths, reflected by an IFR of 7.5% among individuals aged 70+ and an overall IFR of 1.4% when excluding senior care home residents from our computation. Our data underscore senior care home infections as key determinant of IFR additionally to age, insufficient targeted testing in the young, and the need for further investigations on behavioral or molecular causes of the fewer infections among current smokers.

scholarly journals Identifying patterns of retention in care and viral suppression using latent class analysis among women living with HIV in Florida 2015–2017

AIDS Care ◽  
2020 ◽  
Vol 33 (1) ◽  
pp. 131-135
Author(s):  
Rahel Dawit ◽  
Diana M. Sheehan ◽  
Semiu O. Gbadamosi ◽  
Kristopher P. Fennie ◽  
Tan Li ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Viral Suppression ◽  
Latent Class ◽  
Retention In Care ◽  
Class Analysis ◽  
Women Living With Hiv ◽  
Living With Hiv

Patterns of substance use and arrest among hospitalized people living with HIV: A latent class analysis

2017 ◽  
Vol 171 ◽  
pp. e189-e190 ◽  
Author(s):  
Karen Shiu ◽  
Ahnalee Marie Brincks ◽  
Daniel J. Feaster ◽  
Jemima A. Frimpong ◽  
Lauren Gooden ◽  
...  
Keyword(s):  
Substance Use ◽  
Latent Class Analysis ◽  
Latent Class ◽  
People Living With Hiv ◽  
Class Analysis ◽  
Living With Hiv

Latent class analysis of the Apathy Scale does not identify subtypes of apathy in general population-based older persons

2016 ◽  
Vol 31 (9) ◽  
pp. 1021-1028 ◽  
Author(s):  
Isis Groeneweg-Koolhoven ◽  
Lotte J. Huitema ◽  
Margot W. M. de Waal ◽  
Max L. Stek ◽  
Jacobijn Gussekloo ◽  
...  
Keyword(s):  
General Population ◽  
Latent Class Analysis ◽  
Older Persons ◽  
Latent Class ◽  
Population Based ◽  
Class Analysis

scholarly journals Health Information-Seeking Behaviors of a German Speaking Minority in Italy: Latent Class Analysis of a Population-Based Cross-Sectional Survey

2021 ◽  
Author(s):  
Dietmar Ausserhofer ◽  
Wolfgang Wiedermann ◽  
Christian J. Wiedermann ◽  
Ulrich Becker ◽  
Anna Vögele ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Health Information ◽  
Information Seeking ◽  
Latent Class ◽  
Population Based ◽  
Health Information Seeking ◽  
Class Analysis ◽  
Online Class ◽  
German Speaking ◽  
Information Seeking Behaviors

Abstract Latent classes of health information-seeking behaviors of adults in a German-speaking minority of Italy were explored in a population-based, telephone survey on 10 health information sources conducted in South Tyrol, Italy. Data were collected from 504 adults (primary language German 68%, Italian 28%) and analyzed using latent class analysis and latent class multinomial logistic regression models. Three classes of health information-seeking behaviors emerged: “multidimensional” (23.3%), “interpersonal” (38.6%) and “technical/online” (38.1%). Compared to the “technical/online” class, “interpersonal” class members were older, had lower education than high school, and were less likely to be of Italian ethnicity. “Multidimensional” class members were more likely to be female, older, and of German ethnicity than those in the “technical/online” class. Linguistic ethnicity explains membership in classes of health-information-seeking behaviour. Policy makers and healthcare providers need to consider the health information-seeking behaviors of population subgroups to promote the health literacy skills of language minority groups.

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