scholarly journals Voluntary Climate Change Mitigation Actions of Young Adults: A Classification of Mitigators through Latent Class Analysis

PLoS ONE ◽  
2014 ◽  
Vol 9 (7) ◽  
pp. e102072 ◽  
Author(s):  
Essi A. E. Korkala ◽  
Timo T. Hugg ◽  
Jouni J. K. Jaakkola
Keyword(s):  
Climate Change ◽  
Young Adults ◽  
Latent Class Analysis ◽  
Climate Change Mitigation ◽  
Latent Class ◽  
Class Analysis ◽  
Change Mitigation

Classification of multiple sclerosis patients by latent class analysis of magnetic resonance imaging characteristics

2006 ◽  
Vol 12 (5) ◽  
pp. 565-572 ◽  
Author(s):  
J NP Zwemmer ◽  
J Berkhof ◽  
J A Castelijns ◽  
F Barkhof ◽  
C H Polman ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Class Analysis ◽  
Resonance Imaging ◽  
Disease Characteristics ◽  
Mri Characteristics ◽  
The Brain ◽  
Laboratory Measures

Background Disease heterogeneity is a major issue in multiple sclerosis (MS). Classification of MS patients is usually based on clinical characteristics. More recently, a pathological classification has been presented. While clinical subtypes differ by magnetic resonance imaging (MRI) signature on a group level, a classification of individual MS patients based purely on MRI characteristics has not been presented so far. Objectives To investigate whether a restricted classification of MS patients can be made based on a combination of quantitative and qualitative MRI characteristics and to test whether the resulting subgroups are associated with clinical and laboratory characteristics. Methods MRI examinations of the brain and spinal cord of 50 patients were scored for 21 quantitative and qualitative characteristics. Using latent class analysis, subgroups were identified, for whom disease characteristics and laboratory measures were compared. Results Latent class analysis revealed two subgroups that mainly differed in the extent of lesion confluency and MRI correlates of neuronal loss in the brain. Demographics and disease characteristics were comparable except for cognitive deficits. No correlations with laboratory measures were found. Conclusions Latent class analysis offers a feasible approach for classifying subgroups of MS patients based on the presence of MRI characteristics. The reproducibility, longitudinal evolution and further clinical or prognostic relevance of the observed classification will have to be explored in a larger and independent sample of patients.

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

Patterns of negative emotional eating among Chinese young adults: A latent class analysis

Appetite ◽  
2020 ◽  
Vol 155 ◽  
pp. 104808 ◽  
Author(s):  
Jinbo He ◽  
Gui Chen ◽  
Siwei Wu ◽  
Ruiling Niu ◽  
Xitao Fan
Keyword(s):  
Young Adults ◽  
Latent Class Analysis ◽  
Emotional Eating ◽  
Latent Class ◽  
Class Analysis ◽  
Chinese Young Adults

scholarly journals Patterns of Alcohol Use among Italian Young Adults before and during a COVID-19 lockdown: A Latent Class Analysis Study

2021 ◽  
Author(s):  
Giovanni Aresi ◽  
Angela Sorgente ◽  
Michael J. Cleveland ◽  
Elena Marta
Keyword(s):  
Young Adults ◽  
Alcohol Use ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Secondary Analysis ◽  
Stress And Coping ◽  
Class Analysis ◽  
Nationally Representative ◽  
And Coping ◽  
Representative Samples

Introduction: Two not mutually exclusive theories have been proposed to explain the effects of the COVID-19 pandemic on alcohol use: The Availability hypothesis contends that reduced opportunities to drink due to the closure of outlets and consumption sites should lead to decreases in alcohol use, whereas the Stress and Coping hypothesis argues that those exposed to stressful situations may increase drinking. Aims: This study aimed to test such hypotheses by describing pre/during-COVID-19-pandemic changes in patterns of alcohol use among the Italian young adults (18–34 years).Methods: This study involves the secondary analysis of data collected in 2015 and 2020 from nationally representative samples of Italian young adults. Latent class analysis (LCA) was used to identify common patterns of alcohol use.Results: Five classes were found: current non-drinker class (CND), weekend risky (WRD) and weekend non-risky drinkers (WnRD), daily non-risky (DnRD) and daily risky drinkers (DRD). Results indicate gender-specific changes in the prevalence of the five drinker profiles from 2015 to 2020.Conclusions: In support to the Availability hypothesis, increases in abstaining women and men were observed, however among men there were also increases in the prevalence of patterns characterized by risky drinking and related harm (Stress and Coping hypothesis).

scholarly journals Four Europes: Climate change beliefs and attitudes predict behavior and policy preferences using a latent class analysis on 23 countries

2021 ◽  
Author(s):  
Ondřej Kácha ◽  
Jáchym Vintr ◽  
Cameron Brick
Keyword(s):  
Climate Change ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Social Trust ◽  
European Social Survey ◽  
Attitudes And Beliefs ◽  
Class Analysis ◽  
Climate Action ◽  
Change Beliefs ◽  
Climate Change Attitudes

Building public will for climate action requires designing messages for different audiences. Previous studies that identified groups based on similar beliefs, behavior, and political preferences related to climate change were in single countries and were not pre-registered. The current study ran latent class analysis on the European Social Survey (ESS 2016, N= 44,387) to identify groups of people according to their climate change attitudes and beliefs in 22 European countries and Israel. We found strong evidence for four groups: Engaged (18%), Conflicted (18%), Indifferent (42%), and Skeptical (21%) and we compare the segment structure and proportions within Europe and to other countries. We identify differences between the groups in values, life satisfaction, and social trust, and then revealed that the groups uniquely predict self-reported behaviors not included in the segmentation. The findings characterize climate change beliefs for all of Europe and guide governments and pan-European bodies in designingeffective communications to promote climate beliefs and actions.

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