scholarly journals Healthcare system performance and socioeconomic inequalities in hearing and visual impairments in 17 European countries

2020 ◽  
Author(s):  
Asri Maharani ◽  
Piers Dawes ◽  
James Nazroo ◽  
Gindo Tampubolon ◽  
Neil Pendleton ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Latent Class Analysis ◽  
Healthcare System ◽  
System Performance ◽  
Latent Class ◽  
Visual Impairments ◽  
Class Analysis ◽  
Individual Level ◽  
Logistic Regressions ◽  
The Individual

Abstract Background Socioeconomic status is associated with health status among older adults, including hearing and vision impairments, and healthcare system performance is an important consideration in examining that association. We explored the link between a country’s healthcare system performance and the hearing and visual impairments of its people in Europe. Methods This study enrolled 65 332 individuals aged 50+ from 17 countries participating in the Survey of Health, Ageing and Retirement in Europe Wave 6. We used latent class analysis to identify groups of countries based on six domains of healthcare system performance. We then performed multiple logistic regressions to quantify the association between socioeconomic status and hearing and visual impairments adjusted for demographic and other co-variates; finally, we compared the patterns of observed associations in each of the country groups. Results The latent class analysis separated countries into three groups based on the performance of their healthcare systems: poor, moderate and high. Respondents in countries with moderate and poor healthcare performance were more likely to experience hearing and visual impairment than those in countries with high healthcare performance. With respect to hearing and visual impairments, wealth gradients at the individual level varied among countries in different healthcare performance groups, with less wealth associated with worse hearing and seeing only in the countries with moderate and poor healthcare performance. Conclusion The relationships between wealth and hearing and visual impairments differ among countries with different healthcare performance.

scholarly journals Use of Individual-level Covariates to Improve Latent Class Analysis of Trypanosoma cruzi Diagnostic Tests

2012 ◽  
Vol 1 (1) ◽  
Author(s):  
Aaron W. Tustin ◽  
Dylan S. Small ◽  
Stephen Delgado ◽  
Ricardo Castillo Neyra ◽  
Manuela R. Verastegui ◽  
...  
Keyword(s):  
Trypanosoma Cruzi ◽  
Latent Class Analysis ◽  
Diagnostic Tests ◽  
Latent Class ◽  
Class Analysis ◽  
Individual Level

scholarly journals Neighborhood socioeconomic status and food environment: A 20-year longitudinal latent class analysis among CARDIA participants

2014 ◽  
Vol 30 ◽  
pp. 145-153 ◽  
Author(s):  
Andrea S. Richardson ◽  
Katie A. Meyer ◽  
Annie Green Howard ◽  
Janne Boone-Heinonen ◽  
Barry M. Popkin ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Latent Class Analysis ◽  
Food Environment ◽  
Latent Class ◽  
Class Analysis ◽  
Neighborhood Socioeconomic Status

scholarly journals Protest as One Political Act in Individuals’ Participation Repertoires: Latent Class Analysis and Political Participant Types

2021 ◽  
pp. 000276422110216
Author(s):  
Jennifer Oser
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Methodological Approach ◽  
Theoretical Perspective ◽  
Class Analysis ◽  
Political Actors ◽  
Individual Level ◽  
Advance Research ◽  
Political Act ◽  
Election Studies

This study advances research on the role of protest in individual-level participation repertoires by examining how latent class analysis can be used to identify distinctive types of political participants. This methodological approach requires shifting researchers’ traditional theoretical and analytical focus on protest as a single political act to the ways in which political actors combine protest with other political behaviors. From a theoretical perspective, the study examines the increased salience of research on the causes and consequences of protest in the context of individuals’ broader participation repertoires. From a methodological perspective, an illustrative analysis is conducted using the 2016 American National Election Studies survey to test theoretical expectations about the relationship between protest and civic duty. The study concludes with a discussion of how latent class analysis can be used to advance research on protest as one political act in individuals’ broader repertories of political participation.

LATENT CLASS ANALYSIS OF RISK BEHAVIORS AMONG BAHAMIAN YOUNG ADOLESCENTS: RELATIONSHIP BETWEEN VALUES PRIORITIZATION AND LATENT CLASS

2007 ◽  
Vol 35 (8) ◽  
pp. 1061-1076 ◽  
Author(s):  
Matthew Cole ◽  
Bonita Stanton ◽  
Linette Deveaux ◽  
Carole Harris ◽  
Lesley Cottrell ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Risk Behavior ◽  
Risk Behaviors ◽  
Latent Class ◽  
Low Risk ◽  
Class Analysis ◽  
Youth Health ◽  
Values Assessment ◽  
Logistic Regressions ◽  
Risk Takers

To explore an association between values and risk behaviors among early adolescents, baseline data from 689 Bahamian youth (median age = 10) were collected from the Portrait Values Questionnaire (Schwartz et al., 2001) and The Bahamian Youth Health Risk Behavioral Inventory. Latent class analysis identified three classes of youth in differing patterns of risk behavior: (7.8%) high levels of drug and delinquency risk behaviors; (2.8%) high levels of sexual risk behavior; (89.4%) low risk takers. Results showed low risk takers included more females, while at least twice as many males comprised the two risk behavior classes. ANOVA found Benevolence, Conformity, Security, Tradition and Universalism values were associated with low risk takers, and logistic regressions for ordered categorical (ordinal) dependent variables showed both values and latent class predicted intentions for future risk behavior. Latent class analysis and values assessment are discussed as tools to guide adolescent riskreduction interventions.

scholarly journals Association of Unhealthy Behaviors with Self-Harm in Chinese Adolescents: A Study Using Latent Class Analysis

Trauma Care ◽  
2021 ◽  
Vol 1 (2) ◽  
pp. 75-86
Author(s):  
Rong Yang ◽  
Danlin Li ◽  
Run Tian ◽  
Jie Hu ◽  
Yanni Xue ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Cluster Sampling ◽  
Class Analysis ◽  
School Students ◽  
High Prevalence ◽  
Class 1 ◽  
Self Harm ◽  
Logistic Regressions ◽  
Harm Prevention

Previous studies have demonstrated the link between individual unhealthy behaviors and self-harm, but little is known about the influence of multiple unhealthy behaviors on self-harm among adolescents. This study aims to identify the potential patterns of unhealthy behaviors and to examine their associations with self-harm, which may become a useful tool for the screening of self-harm in adolescents. A total of 22,628 middle school students (10,990 males and 11,638 females) in six cities was enrolled in this study by multistage stratified cluster sampling from November 2015 to January 2016. Latent class analysis (LCA) was performed based on five kinds of unhealthy behaviors (unhealthy losing weight (ULW), tobacco use (TU), alcohol use (AU), screen time (ST), and mobile phone dependence (MPD)). Multivariate logistic regressions were used to examine associations between identified subgroups and self-harm. Four subgroups of unhealthy behaviors were identified. Class 1 (71.2%) had the lowest engagement in unhealthy behaviors. Class 2 ((ULW/MPD), 22.3%) had a relatively high prevalence of ULW and MPD. Class 3 ((TU/AU/ST), 3.2%) had a relatively high prevalence of TU, AU, and ST. Class 4 (3.3%) consistently engaged in unhealthy behaviors. Compared to class 1, class 2 (ULW/MPD), class 3 (TU/AU/ST), and class 4 showed OR (95%CI) values of 2.101 (1.964–2.248), 2.153 (1.839–2.520), and 3.979 (3.407–4.645) (p < 0.001 for each), respectively. Class 1, class 2 (ULW/MPD), and class 3 (TU/AU/ST) engagement in unhealthy behaviors was associated with increased self-harm. These findings strongly suggested that self-harm prevention efforts focusing on multiple unhealthy behaviors should be seriously considered for early detection of self-harm.

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