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Latent growth mixture modeling

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https://www.readbyqxmd.com/read/28641215/worry-and-cognitive-control-predict-course-trajectories-of-anxiety-in-older-adults-with-late-life-depression
#1
P Spinhoven, D C van der Veen, R C Oude Voshaar, H C Comijs
BACKGROUND: Many older adults with depressive disorder manifest anxious distress. This longitudinal study examines the predictive value of worry as a maladaptive cognitive emotion regulation strategy, and resources necessary for successful emotion regulation (i.e., cognitive control and resting heart rate variability [HRV]) for the course of anxiety symptoms in depressed older adults. Moreover, it examines whether these emotion regulation variables moderate the impact of negative life events on severity of anxiety symptoms...
May 19, 2017: European Psychiatry: the Journal of the Association of European Psychiatrists
https://www.readbyqxmd.com/read/28634437/latent-growth-curve-models-for-biomarkers-of-the-stress-response
#2
REVIEW
John M Felt, Sarah Depaoli, Jitske Tiemensma
Objective: The stress response is a dynamic process that can be characterized by predictable biochemical and psychological changes. Biomarkers of the stress response are typically measured over time and require statistical methods that can model change over time. One flexible method of evaluating change over time is the latent growth curve model (LGCM). However, stress researchers seldom use the LGCM when studying biomarkers, despite their benefits. Stress researchers may be unaware of how these methods can be useful...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28633558/an-introduction-to-bayesian-statistics-in-health-psychology
#3
Sarah Depaoli, Holly M Rus, James P Clifton, Rens van de Schoot, Jitske Tiemensma
The aim of the current article is to provide a brief introduction to Bayesian statistics within the field of Health Psychology. Bayesian methods are increasing in prevalence in applied fields, and they have been shown in simulation research to improve the estimation accuracy of structural equation models, latent growth curve (and mixture) models, and hierarchical linear models. Likewise, Bayesian methods can be used with small sample sizes since they do not rely on large sample theory. In this article, we discuss several important components of Bayesian statistics as they relate to health-based inquiries...
June 20, 2017: Health Psychology Review
https://www.readbyqxmd.com/read/28600278/defining-and-predicting-patterns-of-early-response-in-a-web-based-intervention-for-depression
#4
Wolfgang Lutz, Alice Arndt, Julian Rubel, Thomas Berger, Johanna Schröder, Christina Späth, Björn Meyer, Wolfgang Greiner, Viola Gräfe, Martin Hautzinger, Kristina Fuhr, Matthias Rose, Sandra Nolte, Bernd Löwe, Fritz Hohagen, Jan Philipp Klein, Steffen Moritz
BACKGROUND: Web-based interventions for individuals with depressive disorders have been a recent focus of research and may be an effective adjunct to face-to-face psychotherapy or pharmacological treatment. OBJECTIVE: The aim of our study was to examine the early change patterns in Web-based interventions to identify differential effects. METHODS: We applied piecewise growth mixture modeling (PGMM) to identify different latent classes of early change in individuals with mild-to-moderate depression (n=409) who underwent a CBT-based web intervention for depression...
June 9, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28585777/natural-course-of-co-occurring-ptsd-and-alcohol-use-disorder-among-recent-combat-veterans
#5
Kyle Possemato, Stephen A Maisto, Michael Wade, Kimberly Barrie, Emily M Johnson, Paige C Ouimette
Posttraumatic stress disorder (PTSD) and alcohol use disorder (AUD) commonly co-occur in veterans, yet little is known about the longitudinal course of PTSD and drinking in comorbid populations. This study assessed the natural course of daily alcohol consumption and weekly changes in PTSD symptoms in 112 recent combat veterans over the course of 11 months. Latent class growth mixture modeling was used to classify individuals into distinct classes with similar PTSD symptom and alcohol use growth trajectories...
June 6, 2017: Journal of Traumatic Stress
https://www.readbyqxmd.com/read/28582857/identification-of-successful-cognitive-aging-in-the-alzheimer-s-disease-neuroimaging-initiative-study
#6
Feng V Lin, Xixi Wang, Rachel Wu, George W Rebok, Benjamin P Chapman
The present prospective observational study aimed to identify the existence of successful cognitive agers among a group of well-defined cognitively healthy older adults (n = 354, mean age = 75 years), and to examine baseline individual-level predictors and associated health outcomes over time. Episodic memory (EM) and executive function (EF) composite scores and multiple health outcomes were obtained annually over 5 years. Potential individual-level predictors that were related to Alzheimer's disease pathology or genetic risk, neurodegeneration, and vascular risks were collected at baseline...
May 30, 2017: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/28482012/deployment-and-alcohol-use-in-a-military-cohort-use-of-combined-methods-to-account-for-exposure-related-covariates-and-heterogeneous-response-to-exposure
#7
David S Fink, Katherine M Keyes, Joseph R Calabrese, Israel Liberzon, Marijo B Tamburrino, Gregory H Cohen, Laura Sampson, Sandro Galea
Studies have shown that combat area deployment is associated with increases in alcohol use; however, studying the influence of deployment on alcohol use faces two complications. First, the military considers a confluence of factors before determining whether to deploy a service member, creating a nonignorable exposure and unbalanced comparison groups that inevitably complicate inference about the role of deployment itself. Second, regression analysis assumes that a single effect estimate can approximate the population's change in post-deployment alcohol use, which ignores that previous studies have documented that respondents tend to exhibit heterogeneous post-deployment drinking behaviors...
May 6, 2017: American Journal of Epidemiology
https://www.readbyqxmd.com/read/28475250/iv-developments-in-the-analysis-of-longitudinal-data
#8
Kevin J Grimm, Pega Davoudzadeh, Nilam Ram
Longitudinal data analytic techniques include a complex array of statistical techniques from repeated-measures analysis of variance, mixed-effects models, and time-series analysis, to longitudinal latent variable models (e.g., growth models, dynamic factor models) and mixture models (longitudinal latent profile analysis, growth mixture models). In this article, we focus our attention on the rationales of longitudinal research laid out by Baltes and Nesselroade (1979) and discuss the advancements in the analysis of longitudinal data since their landmark paper...
June 2017: Monographs of the Society for Research in Child Development
https://www.readbyqxmd.com/read/28472529/linking-mastery-across-the-life-course-to-mobility-device-use-in-later-life
#9
Kenzie Latham-Mintus, Philippa J Clarke
Objectives: Mastery in older ages is shaped by earlier-life experiences. Prior research has demonstrated that mastery is associated with health-promoting behaviors; however, little research has examined whether mastery histories influence health behaviors such as mobility device use in later life. Method: Using 25 years of data from the Americans' Changing Lives Survey (N = 1,427), this research explores whether different trajectories of life course mastery influence the odds that an older adult will use a mobility device when experiencing functional impairment...
May 4, 2017: Journals of Gerontology. Series B, Psychological Sciences and Social Sciences
https://www.readbyqxmd.com/read/28460845/fitting-latent-variable-mixture-models
#10
Gitta H Lubke, Justin Luningham
Latent variable mixture models (LVMMs) are models for multivariate observed data from a potentially heterogeneous population. The responses on the observed variables are thought to be driven by one or more latent continuous factors (e.g. severity of a disorder) and/or latent categorical variables (e.g., subtypes of a disorder). Decomposing the observed covariances in the data into the effects of categorical group membership and the effects of continuous trait differences is not trivial, and requires the consideration of a number of different aspects of LVMMs...
April 17, 2017: Behaviour Research and Therapy
https://www.readbyqxmd.com/read/28436263/modern-methods-for-modeling-change-in-obesity-research-in-nursing
#11
Susan M Sereika, Yaguang Zheng, Lu Hu, Lora E Burke
Persons receiving treatment for weight loss often demonstrate heterogeneity in lifestyle behaviors and health outcomes over time. Traditional repeated measures approaches focus on the estimation and testing of an average temporal pattern, ignoring the interindividual variability about the trajectory. An alternate person-centered approach, group-based trajectory modeling, can be used to identify distinct latent classes of individuals following similar trajectories of behavior or outcome change as a function of age or time and can be expanded to include time-invariant and time-dependent covariates and outcomes...
April 1, 2017: Western Journal of Nursing Research
https://www.readbyqxmd.com/read/28395158/clinical-characteristics-of-latent-classes-of-co2-hypersensitivity-in-adolescents-and-young-adults
#12
Lance M Rappaport, Christina Sheerin, Jeanne E Savage, John M Hettema, Roxann Roberson-Nay
Although breathing CO2-enriched air reliably increases anxiety, there is debate concerning the nature and specificity of CO2 hypersensitivity to panic risk and panic disorder versus anxiety disorders and related traits broadly, particularly among adolescents and emerging adults. The present study sought to clarify the association of CO2 hypersensitivity with internalizing conditions and symptoms among adolescents and young adults. Participants (N = 628) self-reported anxiety levels every 2 min while breathing air enriched to 7...
June 2017: Behaviour Research and Therapy
https://www.readbyqxmd.com/read/28359031/emergence-of-depression-following-job-loss-prospectively-predicts-lower-rates-of-reemployment
#13
Catherine A Stolove, Isaac R Galatzer-Levy, George A Bonanno
Job loss has been associated with the emergence of depression and subsequent long-term diminished labor market participation. In a sample of 500 adults who lost their jobs, trajectories of depression severity from four years before to four years after job loss were identified using Latent Growth Mixture Modeling. Rates of unemployment by trajectory were compared at two and four years following job loss. Four trajectories demonstrated optimal model fit including resilience (72%), chronic pre-to-post job loss depression (9%), emergent depression (10%), and remitting depression (9%)...
March 22, 2017: Psychiatry Research
https://www.readbyqxmd.com/read/28329850/the-use-of-growth-mixture-modeling-for-studying-resilience-to-major-life-stressors-in-adulthood-and-old-age-lessons-for-class-size-and-identification-and-model-selection
#14
Frank J Infurna, Kevin J Grimm
Objectives: Growth mixture modeling (GMM) combines latent growth curve and mixture modeling approaches and is typically used to identify discrete trajectories following major life stressors (MLS). However, GMM is often applied to data that does not meet the statistical assumptions of the model (e.g., within-class normality) and researchers often do not test additional model constraints (e.g., homogeneity of variance across classes), which can lead to incorrect conclusions regarding the number and nature of the trajectories...
March 8, 2017: Journals of Gerontology. Series B, Psychological Sciences and Social Sciences
https://www.readbyqxmd.com/read/28323285/utilization-of-machine-learning-for-prediction-of-post-traumatic-stress-a-re-examination-of-cortisol-in-the-prediction-and-pathways-to-non-remitting-ptsd
#15
I R Galatzer-Levy, S Ma, A Statnikov, R Yehuda, A Y Shalev
To date, studies of biological risk factors have revealed inconsistent relationships with subsequent post-traumatic stress disorder (PTSD). The inconsistent signal may reflect the use of data analytic tools that are ill equipped for modeling the complex interactions between biological and environmental factors that underlay post-traumatic psychopathology. Further, using symptom-based diagnostic status as the group outcome overlooks the inherent heterogeneity of PTSD, potentially contributing to failures to replicate...
March 21, 2017: Translational Psychiatry
https://www.readbyqxmd.com/read/28318338/latent-class-profiles-of-anxiety-symptom-trajectories-from-preschool-through-school-age
#16
Sarah J Kertz, Chad Sylvester, Rebecca Tillman, Joan L Luby
Anxiety typically arises early in childhood and decreases during school age. However, little is known about the earlier developmental course of anxiety in preschool, especially in at risk children, posing a clinically important problem. Given that anxiety in youth has a chronic course for some and also predicts later development of other mental health problems, it is important to identify factors early in development that may predict chronic anxiety symptoms. At-risk children (oversampled for depression) and caregivers completed 6 assessment waves beginning at preschool age (between 3-5...
March 20, 2017: Journal of Clinical Child and Adolescent Psychology
https://www.readbyqxmd.com/read/28318274/do-multiple-health-events-reduce-resilience-when-compared-with-single-events
#17
Ruth T Morin, Isaac R Galatzer-Levy, Fiona Maccallum, George A Bonanno
OBJECTIVE: The impact of multiple major life stressors is hypothesized to reduce the probability of resilience and increase rates of mortality. However, this hypothesis lacks strong empirical support because of the lack of prospective evidence. This study investigated whether experiencing multiple major health events diminishes rates of resilience and increases rates of mortality using a large population-based prospective cohort. METHOD: There were n = 1,395 individuals sampled from the Health and Retirement Study (HRS) and examined prospectively from 2 years before 4 years after either single or multiple health events (lung disease, heart disease, stroke, or cancer)...
March 20, 2017: Health Psychology: Official Journal of the Division of Health Psychology, American Psychological Association
https://www.readbyqxmd.com/read/28288530/trajectories-of-health-related-quality-of-life-after-stroke-results-from-a-one-year-prospective-cohort-study
#18
Maria van Mierlo, Caroline van Heugten, Marcel W M Post, Trynke Hoekstra, Anne Visser-Meily
PURPOSE: To identify trajectories of physical and psychosocial health-related quality of life (HRQoL) from two months to one-year post stroke and to determine the factors that are associated with trajectory membership. METHOD: Multicenter prospective cohort study in which 351 stroke patients were followed up at 2, 6, and 12 months post stroke. Latent class growth mixture modeling was used to determine trajectories of physical and psychosocial HRQoL. Multinomial regression analyses were performed to predict trajectory membership...
March 13, 2017: Disability and Rehabilitation
https://www.readbyqxmd.com/read/28277038/has-growth-mixture-modeling-improved-our-understanding-of-how-early-change-predicts-psychotherapy-outcome
#19
Andrew Koffmann
OBJECTIVE: Early change in psychotherapy predicts outcome. Seven studies have used growth mixture modeling [GMM; Muthén, B. (2001). Second-generation structural equation modeling with a combination of categorical and continuous latent variables: New opportunities for latent class-latent growth modeling. In L. M. Collins & A. G. Sawyers (Eds.), New methods for the analysis of change (pp. 291-322). Washington, DC: American Psychological Association] to identify patient classes based on early change but have yielded conflicting results...
March 2, 2017: Psychotherapy Research: Journal of the Society for Psychotherapy Research
https://www.readbyqxmd.com/read/28182961/prospective-post-traumatic-stress-disorder-symptom-trajectories-in-active-duty-and-separated-military-personnel
#20
Ben Porter, George A Bonanno, Melissa A Frasco, Erin K Dursa, Edward J Boyko
Post-traumatic stress disorder (PTSD) is a serious mental illness that affects current and former military service members at a disproportionately higher rate than the civilian population. Prior studies have shown that PTSD symptoms follow multiple trajectories in civilians and military personnel. The current study examines whether the trajectories of PTSD symptoms of veterans separated from the military are similar to continuously serving military personnel. The Millennium Cohort Study is a population-based study of military service members that commenced in 2001 with follow-up assessments occurring approximately every 3 years thereafter...
January 30, 2017: Journal of Psychiatric Research
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