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https://www.readbyqxmd.com/read/28106914/classification-of-childhood-onset-eating-disorders-a-latent-class-analysis
#1
Leora Pinhas, Dasha Nicholls, Ross D Crosby, Anne Morris, Richard M Lynn, Sloane Madden
This study tested the hypothesis that latent class analysis (LCA) would successfully classify eating disorder (ED) symptoms in children into categories that mapped onto DSM-5 diagnoses and that these categories would be consistent across countries. Childhood onset ED cases were ascertained through prospective active surveillance by the Australian Paediatric Surveillance Unit, the Canadian Paediatric Surveillance Program, and the British Paediatric Surveillance Unit for 36, 24, and 14 months, respectively. Pediatricians and child psychiatrists reported symptoms of any child aged ≤ 12 years with a newly diagnosed restrictive ED...
January 20, 2017: International Journal of Eating Disorders
https://www.readbyqxmd.com/read/28105700/derivation-and-validation-of-a-diagnostic-test-for-irritable-bowel-syndrome-using-latent-class-analysis
#2
R Sood, D J Gracie, M J Gold, N To, M I Pinto-Sanchez, P Bercik, P Moayyedi, A C Ford, G R Law
BACKGROUND: The accuracy of symptom-based diagnostic criteria for irritable bowel syndrome (IBS) is modest. AIMS: To derive and validate a new test that utilises latent class analysis. METHODS: Symptom, colonoscopy, and histology data were collected from 1981 patients and 360 patients in two cohorts referred to secondary care for investigation of their gastrointestinal symptoms in Canada and the UK, respectively. Latent class analysis was used to identify naturally occurring clusters in patient-reported symptoms in the Canadian dataset, and the latent class model derived from this was then applied to the UK dataset in order to validate it...
January 20, 2017: Alimentary Pharmacology & Therapeutics
https://www.readbyqxmd.com/read/28105000/determining-non-cigarette-tobacco-alcohol-and-substance-use-typologies-across-menthol-and-non-menthol-smokers-using-latent-class-analysis
#3
Amy Cohn, Amanda Johnson, Jennifer Pearson, Shyanika Rose, Sarah Ehlke, Ollie Ganz, Raymond Niaura
BACKGROUND: Substance use and mental health are robustly associated with smoking and poor cessation outcomes, but not often examined in combination with menthol cigarette smoking, which is also associated with lower quit rates. This study identified classes of Black and White menthol and non-menthol cigarette smokers based on demographics, alcohol, drug, and other tobacco use behaviors. METHODS: Using screening data from two studies, latent class analysis (LCA) was conducted to classify n = 1177 menthol and non-menthol cigarette smokers on demographic characteristics, heavy smoking, alcohol and drug use, desire to quit smoking, other tobacco product use, and use of psychotropic medication...
2017: Tobacco Induced Diseases
https://www.readbyqxmd.com/read/28104290/exploring-the-longitudinal-offending-pathways-of-child-sexual-abuse-victims-a-preliminary-analysis-using-latent-variable-modeling
#4
Nina L Papalia, Stefan Luebbers, James R P Ogloff, Margaret Cutajar, Paul E Mullen
Very little research has been conducted to show the way in which criminal behavior unfolds over the life-course in children who have been sexually abused, and whether it differs from the 'age-crime' patterns consistently documented in the criminology literature. This study investigated the temporal pathways of criminal offending between the ages of 10-25 years among medically confirmed cases of child sexual abuse (CSA), and considered whether abuse variables, offense variables, and the presence of other adverse outcomes, were associated with heterogeneity in offending pathways among CSA survivors...
January 16, 2017: Child Abuse & Neglect
https://www.readbyqxmd.com/read/28103415/predictors-of-ptsd-symptom-change-among-outpatients-in-the-u-s-department-of-veterans-affairs-health-care-system
#5
Rebecca K Sripada, Paul N Pfeiffer, Jessica Rampton, Dara Ganoczy, Sheila A M Rauch, Melissa A Polusny, Kipling M Bohnert
Although the U.S. Department of Veterans Affairs (VA) has prioritized care for posttraumatic stress disorder (PTSD), many patients with PTSD remain symptomatic. Patterns of PTSD symptom change are not well understood. Thus, the current study was designed to categorize and investigate potential predictors of symptom trajectories in patients with PTSD. The sample comprised 2,237 VA patients who were diagnosed with PTSD in 2013 and completed at least 4 PTSD Checklist (PCL) assessments over 12 weeks. Latent trajectory analysis was used to identify latent classes of patients based on PCL scores...
January 19, 2017: Journal of Traumatic Stress
https://www.readbyqxmd.com/read/28100627/inflammatory-biomarkers-predict-heart-failure-severity-and-prognosis-in-patients-with-heart-failure-with-preserved-ejection-fraction-a-holistic-proteomic-approach
#6
Camilla Hage, Erik Michaëlsson, Cecilia Linde, Erwan Donal, Jean-Claude Daubert, Li-Ming Gan, Lars H Lund
BACKGROUND: Underlying mechanisms in heart failure (HF) with preserved ejection fraction remain unknown. We investigated cardiovascular plasma biomarkers in HF with preserved ejection fraction and their correlation to diastolic dysfunction, functional class, pathophysiological processes, and prognosis. METHODS AND RESULTS: In 86 stable patients with HF and EF ≥45% in the Karolinska Rennes (KaRen) biomarker substudy, biomarkers were quantified by a multiplex immunoassay...
February 2017: Circulation. Cardiovascular Genetics
https://www.readbyqxmd.com/read/28095193/semisupervised-multilabel-multi-instance-learning-for-structured-data
#7
Hossein Soleimani, David J Miller
Many classification tasks require both labeling objects and determining label associations for parts of each object. Example applications include labeling segments of images or determining relevant parts of a text document when the training labels are available only at the image or document level. This task is usually referred to as multi-instance (MI) learning, where the learner typically receives a collection of labeled (or sometimes unlabeled) bags, each containing several segments (instances). We propose a semisupervised MI learning method for multilabel classification...
January 17, 2017: Neural Computation
https://www.readbyqxmd.com/read/28095145/performance-of-four-frailty-classifications-in-older-patients-with-cancer-prospective-elderly-cancer-patients-cohort-study
#8
Emilie Ferrat, Elena Paillaud, Philippe Caillet, Marie Laurent, Christophe Tournigand, Jean-Léon Lagrange, Jean-Pierre Droz, Lodovico Balducci, Etienne Audureau, Florence Canouï-Poitrine, Sylvie Bastuji-Garin
Purpose Frailty classifications of older patients with cancer have been developed to assist physicians in selecting cancer treatments and geriatric interventions. They have not been compared, and their performance in predicting outcomes has not been assessed. Our objectives were to assess agreement among four classifications and to compare their predictive performance in a large cohort of in- and outpatients with various cancers. Patients and Methods We prospectively included 1,021 patients age 70 years or older who had solid or hematologic malignancies and underwent a geriatric assessment in one of two French teaching hospitals between 2007 and 2012...
January 17, 2017: Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology
https://www.readbyqxmd.com/read/28093467/blood-pressure-trajectories-from-childhood-to-young-adulthood-associated-with-cardiovascular-risk-results-from-the-23-year-longitudinal-georgia-stress-and-heart-study
#9
Guang Hao, Xiaoling Wang, Frank A Treiber, Gregory Harshfield, Gaston Kapuku, Shaoyong Su
The purpose of this study is to identify subgroups of individuals with similar trajectories in blood pressure (BP) from childhood to young adulthood and to determine the relationship of BP trajectories with carotid intima-media thickness (IMT) and left ventricular mass index (LVMI). BP was measured ≤16 times during a 23-year period in 683 participants from childhood to young adulthood. IMT and LVMI were measured in 551 participants and 546 participants, respectively. Using latent class models, 3 trajectory groups in BP from childhood to young adulthood were identified, including high-increasing, moderate-increasing, and low-increasing groups...
January 16, 2017: Hypertension
https://www.readbyqxmd.com/read/28092462/adolescent-cardiovascular-functional-and-structural-outcomes-of-growth-trajectories-from-infancy-prospective-community-based-study
#10
Alanna N Hanvey, Fiona K Mensah, Susan A Clifford, Melissa Wake
BACKGROUND: Adult BMI trajectories outperform single BMI measurements as predictors of cardiovascular mortality; however, it is unknown whether this also holds in childhood. We aimed to identify BMI trajectory categories from birth to adolescence, and examine their associations with adolescent cardiovascular function and structure. METHODS: Adolescents from a community-based prospective birth cohort completed 11-16 BMI measurements between birth and adolescence...
January 16, 2017: Childhood Obesity
https://www.readbyqxmd.com/read/28088739/the-effects-of-rurality-on-substance-use-disorder-diagnosis-a-multiple-groups-latent-class-analysis
#11
Billy Brooks, Matthew McBee, Robert Pack, Arsham Alamian
BACKGROUND: Rates of accidental overdose mortality from substance use disorder (SUD) have risen dramatically in the United States since 1990. Between 1999 and 2004 alone rates increased 62% nationwide, with rural overdose mortality increasing at a rate 3 times that seen in urban populations. Cultural differences between rural and urban populations (e.g., educational attainment, unemployment rates, social characteristics, etc.) affect the nature of SUD, leading to disparate risk of overdose across these communities...
January 6, 2017: Addictive Behaviors
https://www.readbyqxmd.com/read/28087677/incorporating-persistent-pain-in-phenotypic-frailty-measurement-and-prediction-of-adverse-health-outcomes
#12
Matthew C Lohman, Karen L Whiteman, Rebecca L Greenberg, Martha L Bruce
BACKGROUND: Frailty, a syndrome of physiological deficits, is prevalent among older adults and predicts elevated risk of adverse health outcomes. Although persistent pain predicts similar risk, it is seldom considered in frailty measurement. This article evaluated the construct and predictive validity of including persistent pain in phenotypic frailty measurement. METHODS: Frailty and persistent pain were operationalized using data from the Health and Retirement Study (2006-2012 waves)...
February 2017: Journals of Gerontology. Series A, Biological Sciences and Medical Sciences
https://www.readbyqxmd.com/read/28081515/distinguishing-subpopulations-of-marijuana-users-with-latent-profile-analysis
#13
Matthew R Pearson, Adrian J Bravo, Bradley T Conner
BACKGROUND: Although marijuana is the most commonly used illicit drug in the United States, little is known about the effects of typical marijuana use patterns and whether there are distinct subgroups of marijuana users. METHODS: The present study used latent profile analysis to determine the number of distinct subgroups of marijuana users in a large sample of college students (n=2129 past month marijuana users across 11 universities). We also examined how these distinct groups differ on several putative risk/protective factors (e...
November 23, 2016: Drug and Alcohol Dependence
https://www.readbyqxmd.com/read/28081166/comparison-of-criteria-for-choosing-the-number-of-classes-in-bayesian-finite-mixture-models
#14
Kazem Nasserinejad, Joost van Rosmalen, Wim de Kort, Emmanuel Lesaffre
Identifying the number of classes in Bayesian finite mixture models is a challenging problem. Several criteria have been proposed, such as adaptations of the deviance information criterion, marginal likelihoods, Bayes factors, and reversible jump MCMC techniques. It was recently shown that in overfitted mixture models, the overfitted latent classes will asymptotically become empty under specific conditions for the prior of the class proportions. This result may be used to construct a criterion for finding the true number of latent classes, based on the removal of latent classes that have negligible proportions...
2017: PloS One
https://www.readbyqxmd.com/read/28081006/latent-feature-representation-with-depth-directional-long-term-recurrent-learning-for-breast-masses-in-digital-breast-tomosynthesis
#15
Dae Hoe Kim, Seong Tae Kim, Jung Min Chang, Yong Man Ro
Characterization of masses in computer-aided detection systems for digital breast tomosynthesis (DBT) is an important step to reduce false positive (FP) rates. To effectively differentiate masses from FPs in DBT, discriminative mass feature representation is required. In this paper, we propose a new latent feature representation boosted by depth directional long-term recurrent learning for characterizing malignant masses. The proposed network is designed to encode mass characteristics in two parts. First, 2D spatial image characteristics of DBT slices are encoded as a slice feature representation by convolutional neural network (CNN)...
February 7, 2017: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/28077018/patient-factors-and-quality-of-life-outcomes-differ-among-four-subgroups-of-oncology-patients-based-on-symptom-occurrence
#16
Guro Lindviksmoen Astrup, Kristin Hofsø, Kristin Bjordal, Marianne Grønlie Guren, Ingvild Vistad, Bruce Cooper, Christine Miaskowski, Tone Rustøen
CONTEXT: Reviews of the literature on symptoms in oncology patients undergoing curative treatment, as well as patients receiving palliative care, suggest that they experience multiple, co-occurring symptoms and side effects. OBJECTIVES: The purposes of this study were to determine if subgroups of oncology patients could be identified based on symptom occurrence rates and if these subgroups differed on a number of demographic and clinical characteristics, as well as on quality of life (QoL) outcomes...
January 12, 2017: Acta Oncologica
https://www.readbyqxmd.com/read/28076648/latent-class-profile-of-psychiatric-symptoms-and-treatment-utilization-in-a-sample-of-patients-with-co-occurring-disorders
#17
Luis Villalobos-Gallegos, Rodrigo Marín-Navarrete, Calos Roncero, Hugo González-Cantú
Objective: To identify symptom-based subgroups within a sample of patients with co-occurring disorders (CODs) and to analyze intersubgroup differences in mental health services utilization. Methods: Two hundred and fifteen patients with COD from an addiction clinic completed the Symptom Checklist 90-Revised. Subgroups were determined using latent class profile analysis. Services utilization data were collected from electronic records during a 3-year span. Results: The five-class model obtained the best fit (Bayesian information criteria [BIC] = 3,546...
January 9, 2017: Revista Brasileira de Psiquiatria
https://www.readbyqxmd.com/read/28070781/the-support-needs-of-children-with-intellectual-disability-and-autism-implications-for-supports-planning-and-subgroup-classification
#18
Karrie A Shogren, Leslie A Shaw, Michael L Wehmeyer, James R Thompson, Kyle M Lang, Marc J Tassé, Robert L Schalock
The Supports Intensity Scale-Children's version (SIS-C) was developed to provide a standardized measure of support needs of children with intellectual disability. Over half of the norming sample had a secondary diagnosis of autism. Using this subset of the sample, we engaged in exploratory analysis to examine the degree to which latent clusters were present in the data, and after identifying these clusters, the degree to which they mapped on the SIS-C standard scores. A four latent class solution provided the best fit to the data...
January 9, 2017: Journal of Autism and Developmental Disorders
https://www.readbyqxmd.com/read/28069560/does-usage-of-an-ehealth-intervention-reduce-the-risk-of-excessive-gestational-weight-gain-secondary-analysis-from-a-randomized-controlled-trial
#19
Meredith Leigh Graham, Myla S Strawderman, Margaret Demment, Christine Marie Olson
BACKGROUND: Excessive gestational weight gain (GWG) contributes to the development of obesity in mother and child. Internet-based interventions have the potential for delivering innovative and interactive options for prevention of excessive GWG to large numbers of people. OBJECTIVE: The objective of this study was to create a novel measure of Internet-based intervention usage patterns and examine whether usage of an Internet-based intervention is associated with reduced risk of excessive GWG...
January 9, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28068157/cancer-survivors-preference-for-follow-up-care-providers-a-cross-sectional-study-from-the-population-based-profiles-registry
#20
Lotte J Huibertse, Mies van Eenbergen, Belle H de Rooij, Maarten T Bastiaens, Laurent M C L Fossion, Rob B de la Fuente, Paul J M Kil, Evert L Koldewijn, A H P Meier, Roland J M Mommers, A Q Niemer, Jorg R Oddens, Eric H G M Oomens, Mandy Prins, Kees-Peter de Roos, Monique R T M Thissen, Martine W H Timmermans, Bart P Wijsman, Lonneke V van de Poll-Franse, Nicole P M Ezendam
BACKGROUND: The best practice for the organization of follow-up care in oncology is under debate, due to growing numbers of cancer survivors. Understanding survivors' preferences for follow-up care is elementary for designing patient-centred care. Based on data from prostate cancer and melanoma survivors, this study aims to identify: 1) preferences for follow-up care providers, for instance the medical specialist, the oncology nurse or the general practitioner; 2) characteristics associated with these preferences and 3) the preferred care provider to discuss cancer-related problems...
January 9, 2017: Acta Oncologica
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