Differential factors associated with challenge-proven food allergy phenotypes in a population cohort of infants: a latent class analysis

2015 ◽  
Vol 45 (5) ◽  
pp. 953-963 ◽  
Author(s):  
R. L. Peters ◽  
K. J. Allen ◽  
S. C. Dharmage ◽  
C. J. Lodge ◽  
J. J. Koplin ◽  
...  
Keyword(s):  
Food Allergy ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Class Analysis ◽  
Factors Associated ◽  
Population Cohort

A latent class analysis of modifiable risk factors associated with child maltreatment re-reporting and recurrence

2021 ◽  
Vol 120 ◽  
pp. 105249
Author(s):  
Jeffrey Waid ◽  
N. Jeanie Santaularia ◽  
Kristine Piescher ◽  
Traci LaLiberte
Keyword(s):  
Risk Factors ◽  
Child Maltreatment ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Modifiable Risk Factors ◽  
Class Analysis ◽  
Factors Associated

scholarly journals Activity Profiles among Older Adults: Latent Class Analysis Using the Korean Time Use Survey

2021 ◽  
Vol 18 (16) ◽  
pp. 8786
Author(s):  
Yungsoo Lee
Keyword(s):  
Older Adults ◽  
Latent Class Analysis ◽  
Time Use ◽  
Latent Class ◽  
Multinomial Logistic Regression ◽  
Well Being ◽  
Class Analysis ◽  
Factors Associated ◽  
Wide Range ◽  
Time Use Survey

This study empirically explored the activity profiles of Korean older adults by considering a wide range of activities simultaneously and further investigated the socioeconomic factors associated with activity profiles. Gender differences in activity profiles were examined in-depth. Latent class analysis (LCA) was used to identify activity profiles based on a nationally representative sample of older adults from the most recent two waves of the Korean Time Use Survey (n = 3034 for 2014 and n = 3960 for 2019). Multinomial logistic regression analysis was employed to further examine the factors associated with the activity profiles. The findings revealed four distinct activity groups, although there were differences in activity profiles between the two waves. Several sociodemographic factors, such as gender, age, assets and income, were significantly associated with the activity profiles. Findings from this study can inform policy makers seeking interventions that enhance the overall well-being of older adults through activity engagement.

A Latent Class Analysis of Factors Associated with Levels of Aggression among Low-Income African American Youth in Chicago

2019 ◽  
Vol 46 (4) ◽  
pp. 452-461 ◽  
Author(s):  
Sarah M. Bassett ◽  
Dong Ha Kim ◽  
Lois Takahashi ◽  
Sonya Mathies Dinizulu ◽  
Royce Lee ◽  
...  
Keyword(s):  
African American ◽  
Latent Class Analysis ◽  
Low Income ◽  
Latent Class ◽  
African American Youth ◽  
Class Analysis ◽  
Factors Associated

Latent Class Analysis of Syndemic Factors Associated with Sustained Viral Suppression among Ryan White HIV/AIDS Program Clients in Miami, 2017

2021 ◽  
Author(s):  
Rahel Dawit ◽  
Mary Jo Trepka ◽  
Semiu O. Gbadamosi ◽  
Sofia B. Fernandez ◽  
Sikeade O. Caleb-Adepoju ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Viral Suppression ◽  
Latent Class ◽  
Class Analysis ◽  
Factors Associated ◽  
Sustained Viral Suppression ◽  
Ryan White ◽  
Aids Program ◽  
Hiv Aids

Characterizing smoking cessation maintenance among former smokers: A latent class analysis

2013 ◽  
Author(s):  
James Clifton ◽  
Sydney M. Loewen ◽  
Sarah Depaoli ◽  
Anna V. Song
Keyword(s):  
Smoking Cessation ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Class Analysis ◽  
Former Smokers

Latent Class Analysis of Psychosocial and Psychophysiological Risks for Drinking

2009 ◽  
Author(s):  
Tomoko Udo ◽  
Jennifer F. Buckman ◽  
Marsha E. Bates ◽  
Evgeny Vaschillo ◽  
Bronya Vaschillo ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Class Analysis
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