Trial reportJournal of behavioral medicine2021
Latent class growth modelling for the evaluation of intervention outcomes: example from a physical activity intervention.
Trial report in Journal of behavioral medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed.
- Verbal framing, rather than measured cognitive-affective variables, is associated with short-term outcomes after spinal manipulation: a secondary analysis of a randomized controlled trial.Pain management · 2026Trial
- Associations of genetic risk, BMI trajectories, and the risk of non-small cell lung cancer: a population-based cohort study.BMC medicine · 2022Trial
- A US-Based National Virtual Cohort of People Living With HIV at Risk for Viral Nonsuppression: Protocol for the EPI-LoVE Prospective Cohort Study.JMIR research protocols · 2026Article
- A machine learning-based prediction model for poor prognosis in sepsis using lymphocyte count: a national, multicenter prospective cohort.Scientific reports · 2026Article
- Trajectories and predictors of self-care from pre-discharge to 12 months after discharge in people with spinal cord injury: a longitudinal study using growth mixture modeling.Frontiers in neuroscience · 2026Article
- Trajectories and related factors of subjective cognitive function in patients living with breast cancer receiving postoperative chemotherapy: a latent class growth model study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Article
- Blood Urine Nitrogen Trajectories of Acute Pancreatitis Patients in Intensive Care Units.Journal of inflammation research · 2024Article
- Brief Report: Social Factors Associated With Trajectories of HIV-Related Stigma and Everyday Discrimination Among Women Living With HIV in Vancouver, Canada: Longitudinal Cohort Findings.Journal of acquired immune deficiency syndromes (1999) · 2023Article
- Effects of exclusive breastfeeding on educational attainment and longitudinal trajectories of grade progression among children in a 13-year follow-up study in Malawi.Scientific reports · 2023Article
- Distinct physical activity and sedentary behavior trajectories in older adults during participation in a physical activity intervention: a latent class growth analysis.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2022Article
- Identification of high-risk symptom cluster burden group among midlife peri-menopausal and post-menopausal women with metabolic syndrome using latent class growth analysis.Women's health (London, England)Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Intervention studies often assume that changes in an outcome are homogenous across the population, however this assumption might not always hold. This article describes how latent class growth modelling (LCGM) can be performed in intervention studies, using an empirical example, and discusses the challenges and potential implications of this method. The analysis included 110 young adults with mobility disability that had participated in a parallel randomized controlled trial and received either a mobile app program (n = 55) or a supervised health program (n = 55) for 12 weeks. The primary outcome was accelerometer measured moderate to vigorous physical activity (MVPA) levels in min/day assessed at baseline, 6 weeks, 12 weeks, and 1-year post intervention. The mean change of MVPA from baseline to 1-year was estimated using paired t-test. LCGM was performed to determine the trajectories of MVPA. Logistic regression models were used to identify potential predictors of trajectories. There was no significant difference between baseline and 1-year MVPA levels (4.8 min/day, 95% CI: -1.4, 10.9). Four MVPA trajectories, 'Normal/Decrease', 'Normal/Increase', 'Normal/Rapid increase', and 'High/Increase', were identified through LCGM. Individuals with younger age and higher baseline MVPA were more likely to have increasing trajectories of MVPA. LCGM uncovered hidden trajectories of physical activity that were not represented by the average pattern. This approach could provide significant insights when included in intervention studies. For higher accuracy it is recommended to include larger sample sizes.
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