Trial reportInternational journal of behavioral medicine2015
Application of Latent Class Analysis to Identify Behavioral Patterns of Response to Behavioral Lifestyle Interventions in Overweight and Obese Adults.
Trial report in International journal of behavioral medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Trial
- Latent class growth modelling for the evaluation of intervention outcomes: example from a physical activity intervention.Journal of behavioral medicine · 2021Trial
- From Overweight to Severe Obesity: Physical Activity and Behavioural Profiles in a Large Clinical Cohort.Journal of functional morphology and kinesiology · 2025Article
- Diagnostic Accuracy of Three Methods of Body Temperature Measurement in Children: A Latent Class Approach.Cureus · 2025Article
- Identifying Clusters of Health Behaviors in a Japanese Working Population at Risk for Non-Communicable Diseases: A Latent Class Analysis of 12,168 Individuals.SSM - population health · 2023Article
- Trajectories of depression symptoms in a therapist-supported digital mental health intervention: a repeated measures latent profile analysis.Social psychiatry and psychiatric epidemiology · 2023Article
- Distinguishing early patterns of physical activity goal attainment and weight loss in online behavioral obesity treatment using latent class analysis.Translational behavioral medicine · 2021Article
- Patterns of self-monitoring technology use and weight loss in people with overweight or obesity.Translational behavioral medicine · 2021Article
- Article
- Differences in treatment response to a total diet replacement intervention versus a food-based intervention: A secondary analysis of the OPTIWIN trial.Obesity science & practice · 2020Article
- Adherence to behavioral recommendations for weight loss and associated psychosocial factors among African American adults.Journal of behavioral medicine · 2020Article
- Article
- Evaluation of lifestyle of female adolescents through latent class analysis approach.BMC public health · 2019Article
- Predictors of Long-Term Adherence to Multiple Health Behavior Recommendations for Weight Management.Health education & behavior : the official publication of the Society for Public Health Education · 2018Article
- Validation of the Diet Satisfaction Questionnaire: a new measure of satisfaction with diets for weight management.Obesity science & practice · 2018Article
- CKD Self-management: Phenotypes and Associations With Clinical Outcomes.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2018Article
- Clinical Trajectories, Healthcare Resource Use, and Costs of Diabetic Nephropathy Among Patients with Type 2 Diabetes: A Latent Class Analysis.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2018Article
- Identifying Patterns of Lifestyle Behaviors among People with Type 2 Diabetes in Tianjin, China: A Latent Class Analysis.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2017Article
- Managing temptation in obesity treatment: A neurobehavioral model of intervention strategies.Appetite · 2016Review
- Adaptive Interventions in Child and Adolescent Mental Health.Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53Review
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Authors and funding
9 authors.
Funding
Abstract
backgroundExamining responders and non-responders to behavioral lifestyle interventions among overweight/obese adults with additional comorbidities may aid in refining and tailoring obesity treatment. PURPOSE: The purpose of this study is to demonstrate the use of latent class analysis to identify patterns of response to behavioral lifestyle interventions based on adherence to diet and exercise recommendations.
methodRepeated measures latent class analysis was applied to two clinical trial datasets, combination of two active interventions in the PREMIER Trial (n = 501) and phase 1 of the Weight Loss Maintenance Trial (WLM; n = 1685), to identify patterns of response to behavioral lifestyle interventions. Treatment response was based on adherence to daily recommendations for fruit/vegetable, fat, saturated fat, sodium, and exercise at baseline and 6 months.
resultsIn PREMIER, three distinct latent classes emerged: responders (45.9%), non-responders (23.6%), and early adherers (30.5%). Responders and Early Adherers had greater weight loss at 6 and 18 months and were more likely to meet behavioral recommendations at 18 months than Non-responders. For WLM, there were four latent classes: partial responders (16%), non-responders (40%), early adherers (2%), and fruit/veggie only responders (41%). Non-responders in WLM had significantly less weight loss at 6 months compared to that of the other three latent classes.
conclusionLatent class analysis is a useful method to apply to clinical trial data to identify distinct patterns of response to behavioral interventions. Overweight/ obese participants who respond to behavioral lifestyle treatment (i.e., meet behavioral recommendations) have significantly greater weight loss than that of participants who do not make behavioral changes.
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