2014
DOI: 10.1016/j.jclinepi.2014.03.007
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Latent class growth analysis successfully identified subgroups of participants during a weight loss intervention trial

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Cited by 7 publications
(12 citation statements)
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“…Confounding factors could distort this association. For example, a secondary analysis on data derived from the PROOF study showed, among other things, that participants with a relatively low body weight around their 40th year of life were more likely to lose weight during the study (42). This could mean that the group that lost 5 kg or 5% of their body weight is, in fact, a group of participants with an overall healthier lifestyle, which could account for the better health outcomes.…”
Section: Discussionmentioning
confidence: 99%
“…Confounding factors could distort this association. For example, a secondary analysis on data derived from the PROOF study showed, among other things, that participants with a relatively low body weight around their 40th year of life were more likely to lose weight during the study (42). This could mean that the group that lost 5 kg or 5% of their body weight is, in fact, a group of participants with an overall healthier lifestyle, which could account for the better health outcomes.…”
Section: Discussionmentioning
confidence: 99%
“…Previously de Vos and colleagues 15 used growth mixture modelling to identify trajectories in a weight loss trial in overweight women which investigated the effectiveness of an individualised intervention for weight loss compared with a control who received no intervention. Their study differed from the present study in several ways.…”
Section: Discussionmentioning
confidence: 99%
“…For the present study, we used three weight change subgroups, identified previously with LCGA using six-monthly weight data 20 . This three-group model showed the best fit to the data according to objective parameters and had the best usefulness of the latent classes 20 .…”
Section: Evaluation Of Changes In Body Weight Over Timementioning
confidence: 99%
“…As a disadvantage, subjects with fluctuations in BMI during follow-up were not distinguished from those with steady weight loss. Recently, Latent Class Growth Analysis (LCGA) successfully identified three subgroups with different weight change during 2.5 years within the PROOF Study 20 .…”
Section: Introductionmentioning
confidence: 99%