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 Clustering of Modifiable Behavioral Risk Factors and Their Association with All-Cause Mortality in Taiwan’s Adult Population: a Latent Class Analysis

2021 ◽  
Author(s):  
Shikha Kukreti ◽  
Tsung Yu ◽  
Po Wei Chiu ◽  
Carol Strong
Keyword(s):  
Physical Activity ◽  
Alcohol Consumption ◽  
Health Behavior ◽  
Latent Class Analysis ◽  
Risk Behaviors ◽  
Latent Class ◽  
Latent Classes ◽  
Class Analysis ◽  
Unhealthy Behavior ◽  
All Cause Mortality

Abstract Background Modifiable risk behaviors, such as smoking, diet, alcohol consumption, physical activity, and sleep, are known to impact health. This study aims toward identifying latent classes of unhealthy lifestyle behavior, exploring the correlations between sociodemographic factors, identifying classes, and further assessing the associations between identified latent classes and all-cause mortality. Methods For this study, the data were obtained from a prospective cohort study in Taiwan. The participants’ self-reported demographic and behavioral characteristics (smoking, physical activity, alcohol consumption, fruit and vegetable intake, and sleep) were used. Latent class analysis was used to identify health-behavior patterns, and Cox proportional hazard regression analysis was used to find the association between the latent class of health-behavior and all-cause mortality. Results A complete dataset was obtained from 290,279 participants with a mean age of 40 (12.4). Seven latent classes were identified, characterized as having a 100% likelihood of at least one unhealthy behavior coupled with the probability of having the other four unhealthy risk behaviors. This study also shows that latent health-behavior classes are associated with mortality, suggesting that they are representative of a healthy lifestyle. Finally, it appeared that multiple risk behaviors were more prevalent in younger men and individuals with low socioeconomic status. Conclusions There was a clear clustering pattern of modifiable risk behaviors among the adults under consideration, where the risk of mortality increased with increases in unhealthy behavior. Our findings can be used to design customized disease prevention programs targeting specific populations and corresponding profiles identified in the latent class analysis.

scholarly journals Using Latent Class Analysis to Identify Different Risk Patterns for Patients With Masked Hypertension

2021 ◽  
Vol 8 ◽  
Author(s):  
Ming Fu ◽  
Xiangming Hu ◽  
Shixin Yi ◽  
Shuo Sun ◽  
Ying Zhang ◽  
...  
Keyword(s):  
High Risk ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Latent Class Model ◽  
Fasting Blood Glucose ◽  
Low Risk ◽  
Biological Information ◽  
Masked Hypertension ◽  
Class Analysis ◽  
The Impact

Background: There is controversy whether masked hypertension (MHT) requires additional intervention. The aim of this study is to evaluate whether MHT accompanied with high-risk metabolic syndrome (MetS), as the subphenotype, will have a different prognosis from low-risk MetS.Methods: We applied latent class analysis to identify subphenotypes of MHT, using the clinical and biological information collected from High-risk Cardiovascular Factor Screening and Chronic Disease Management Programme. We modeled the data, examined the relationship between subphenotypes and clinical outcomes, and further explored the impact of antihypertensive medication.Results: We included a total of 140 patients with MHT for analysis. The latent class model showed that the two-class (high/low-risk MetS) model was most suitable for MHT classification. The high-risk MetS subphenotype was characterized by larger waist circumference, lower HDL-C, higher fasting blood glucose and triglycerides, and prevalence of diabetes. After four years of follow-up, participants in subphenotype 1 had a higher non-major adverse cardiovascular event (MACE) survival probability than those in subphenotype 2 (P = 0.016). There was no interaction between different subphenotypes and the use of antihypertensive medications affecting the occurrence of MACE.Conclusions: We have identified two subphenotypes in MHT that have different metabolic characteristics and prognosis, which could give a clue to the importance of tracing the clinical correlation between MHT and metabolic risk factors. For patients with MHT and high-risk MetS, antihypertensive therapy may be insufficient.

scholarly journals Examining risk behavior and syringe coverage among people who inject drugs accessing a syringe services program: A latent class analysis

2020 ◽  
Vol 78 ◽  
pp. 102716 ◽  
Author(s):  
Tyler S. Bartholomew ◽  
Hansel E. Tookes ◽  
Corinne Bullock ◽  
Jason Onugha ◽  
David W. Forrest ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Risk Behavior ◽  
Latent Class ◽  
People Who Inject Drugs ◽  
Class Analysis ◽  
Syringe Coverage

Using latent class analysis to profile risk behaviors among sexual minority students

2018 ◽  
pp. 120
Author(s):  
Yongwen Jiang ◽  
Jan Mermin ◽  
Tara Cooper ◽  
Rosemary ReillyChammat ◽  
Samara VinerBrown
Keyword(s):  
Latent Class Analysis ◽  
Minority Students ◽  
Risk Behaviors ◽  
Sexual Minority ◽  
Latent Class ◽  
Class Analysis
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