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https://www.readbyqxmd.com/read/29331772/alcohol-induced-risk-behaviors-among-brazilian-nightclub-patrons-a-latent-class-analysis
#1
A Sañudo, S Andreoni, Z M Sanchez
OBJECTIVE: The aim of this study is to identify risk behavior profiles associated with alcohol consumption among patrons during or just after departure from nightclubs in São Paulo, Brazil. STUDY DESIGN: Cross-sectional survey. METHODS: The study used a two-stage cluster sampling survey design. Data were collected on a probabilistic sample of nightclub patrons. Overall, 2422 patrons were interviewed at the entrance of 31 nightclubs. Latent class analysis (LCA) was used to identify risk behavior profiles with an emphasis on risky driving, fights, alcoholic blackouts, and harm and unsafe sex...
January 11, 2018: Public Health
https://www.readbyqxmd.com/read/29331702/is-very-low-infant-birth-weight-a-predictor-for-a-five-year-course-of-depression-in-parents-a-latent-growth-curve-model
#2
Claus Barkmann, Nadine Helle, Carola Bindt
BACKGROUND: A very low birth weight (VLBW) is considered as a significant risk factor for early-onset developmental problems in infants, but is also discussed as a potential risk factor for the development of depressive symptoms in affected parents. METHODS: In this study, the 5-year courses of maternal and paternal depression with VLBW and term born infants (n = 250 families) are modeled and predicted by factors existing at the time of birth. RESULTS: The dyadic trajectories of depression could be best described by five classes (I no depression, II minor maternal depression, III increasing dyadic depression, IV significant maternal depression, V highly depressed mothers)...
December 13, 2017: Journal of Affective Disorders
https://www.readbyqxmd.com/read/29331593/latent-class-analysis-of-the-health-of-the-nation-outcome-scales-a-comparison-of-swiss-and-english-profiles-and-exploration-of-their-predictive-utility
#3
P Maddison, P Golay, S J Muncer
No abstract text is available yet for this article.
November 21, 2017: European Psychiatry: the Journal of the Association of European Psychiatrists
https://www.readbyqxmd.com/read/29326412/-identifying-latent-classes-of-risk-factors-for-coronary-artery-disease
#4
Eunsil Ju, JiSun Choi
PURPOSE: This study aimed to identify latent classes based on major modifiable risk factors for coronary artery disease. METHODS: This was a secondary analysis using data from the electronic medical records of 2,022 patients, who were newly diagnosed with coronary artery disease at a university medical center, from January 2010 to December 2015. Data were analyzed using SPSS version 20.0 for descriptive analysis and Mplus version 7.4 for latent class analysis. RESULTS: Four latent classes of risk factors for coronary artery disease were identified in the final model: 'smoking-drinking', 'high-risk for dyslipidemia', 'high-risk for metabolic syndrome', and 'high-risk for diabetes and malnutrition'...
December 2017: Journal of Korean Academy of Nursing
https://www.readbyqxmd.com/read/29322400/general-mixture-item-response-models-with-different-item-response-structures-exposition-with-an-application-to-likert-scales
#5
Jesper Tijmstra, Maria Bolsinova, Minjeong Jeon
This article proposes a general mixture item response theory (IRT) framework that allows for classes of persons to differ with respect to the type of processes underlying the item responses. Through the use of mixture models, nonnested IRT models with different structures can be estimated for different classes, and class membership can be estimated for each person in the sample. If researchers are able to provide competing measurement models, this mixture IRT framework may help them deal with some violations of measurement invariance...
January 10, 2018: Behavior Research Methods
https://www.readbyqxmd.com/read/29319608/novel-approach-to-characterising-individuals-with-low-back-related-leg-pain-cluster-identification-with-latent-class-analysis-and-12-month-follow-up
#6
Siobhán Stynes, Kika Konstantinou, Reuben Ogollah, Elaine M Hay, Kate M Dunn
Traditionally, low back-related leg pain (LBLP) is diagnosed clinically as referred leg pain or sciatica (nerve root involvement). However, within the spectrum of LBLP, we hypothesised that there may be other unrecognised patient subgroups. This study aimed to identify clusters of patients with LBLP using latent class analysis and describe their clinical course. The study population was 609 LBLP primary care consulters. Variables from clinical assessment were included in the latent class analysis. Characteristics of the statistically identified clusters were compared, and their clinical course more than 1 year was described...
January 9, 2018: Pain
https://www.readbyqxmd.com/read/29317003/identification-of-heterogeneous-cognitive-subgroups-in-community-dwelling-older-adults-a-latent-class-analysis-of-the-einstein-aging-study
#7
Andrea R Zammit, Charles B Hall, Richard B Lipton, Mindy J Katz, Graciela Muniz-Terrera
OBJECTIVES: The aim of this study was to identify natural subgroups of older adults based on cognitive performance, and to establish each subgroup's characteristics based on demographic factors, physical function, psychosocial well-being, and comorbidity. METHODS: We applied latent class (LC) modeling to identify subgroups in baseline assessments of 1345 Einstein Aging Study (EAS) participants free of dementia. The EAS is a community-dwelling cohort study of 70+ year-old adults living in the Bronx, NY...
January 10, 2018: Journal of the International Neuropsychological Society: JINS
https://www.readbyqxmd.com/read/29315743/suicide-risk-across-latent-class-subgroups-a-test-of-the-generalizability-of-the-interpersonal-psychological-theory-of-suicide
#8
Jennifer S Ma, Philip J Batterham, Alison L Calear, Jin Han
It remains unclear whether the Interpersonal Psychological Theory of Suicide (IPTS; Joiner, ) is generalizable to the population or holds more explanatory power for certain subgroups compared to others. The aim of this study was to (1) identify subgroups of individuals who endorsed suicide ideation in the past month based on a range of mental health and demographic variables, (2) compare levels of the IPTS constructs within these subgroups, and (3) test the IPTS predictions for suicide ideation and suicide attempt for each group...
January 6, 2018: Suicide & Life-threatening Behavior
https://www.readbyqxmd.com/read/29315434/recognizable-clinical-subtypes-of-osa-across-a-worldwide-sleep-center-population-a-cluster-analysis
#9
Brendan T Keenan, Jinyoung Kim, Bhajan Singh, Lia Bittencourt, Ning-Hung Chen, Peter A Cistulli, Ulysses Magalang, Nigel McArdle, Jesse W Mindel, Bryndis Benediktsdottir, Erna Sif Arnardottir, Lisa Kristin Prochnow, Thomas Penzel, Bernd Sanner, Richard Schwab, Chol Shin, Kate Sutherland, Sergio Tufik, Greg Maislin, Thorarinn Gislason, Allan I Pack
Study Objectives: A recent study of moderate-severe obstructive sleep apnea (OSA) patients in Iceland identified 3 clinical clusters based on symptoms and comorbidities. We sought to verify this finding in a new cohort in Iceland and examine the generalizability of OSA clusters in an international ethnically diverse cohort. Methods: Using data on 972 moderate-severe OSA patients [apnea-hypopnea index (AHI) ≥15 events/hour] recruited from the Sleep Apnea Global Interdisciplinary Consortium (SAGIC) we performed a latent class analysis of 18 self-reported symptom variables, hypertension, cardiovascular disease and diabetes...
January 5, 2018: Sleep
https://www.readbyqxmd.com/read/29313268/trajectories-of-circulating-monocyte-subsets-after-st-elevation-myocardial-infarction-during-hospitalization-latent-class-growth-modeling-for-high-risk-patient-identification
#10
Shan Zeng, Li-Fang Yan, Yan-Wei Luo, Xin-Lin Liu, Jun-Xiang Liu, Zhao-Zeng Guo, Zhong-Wei Xu, Yu-Ming Li, Wen-Jie Ji, Xin Zhou
It remains unclear if the developmental trajectories of a specific inflammatory biomarker during the acute phase of ST-elevation myocardial infarction (STEMI) provide outcome prediction. By applying latent class growth modeling (LCGM), we identified three distinctive trajectories of CD14++CD16+ monocytes using serial flow cytometry assays from day 1 to day 7 of symptom onset in 96 de novo STEMI patients underwent primary percutaneous coronary intervention. Membership in the high-hump-shaped trajectory (16.8%) independently predicted adverse cardiovascular outcomes during a median follow-up of 2...
January 8, 2018: Journal of Cardiovascular Translational Research
https://www.readbyqxmd.com/read/29306686/application-of-fractal-theory-for-crash-rate-prediction-insights-from-random-parameters-and-latent-class-tobit-models
#11
Sai Chand, Vinayak V Dixit
The repercussions from congestion and accidents on major highways can have significant negative impacts on the economy and environment. It is a primary objective of transport authorities to minimize the likelihood of these phenomena taking place, to improve safety and overall network performance. In this study, we use the Hurst Exponent metric from Fractal Theory, as a congestion indicator for crash-rate modeling. We analyze one month of traffic speed data at several monitor sites along the M4 motorway in Sydney, Australia and assess congestion patterns with the Hurst Exponent of speed (Hspeed)...
January 4, 2018: Accident; Analysis and Prevention
https://www.readbyqxmd.com/read/29306067/maternal-ratings-of-odd-symptoms-subtypes-versus-severity-in-a-general-community-sample-of-children
#12
Rapson Gomez, Vasilis Stavropoulos
BACKGROUND AND AIMS: Oppositional Defiant Disorder (ODD) is a common childhood disorder (American Psychiatric Association [APA], 2000; APA, 2013). The aim of the present study was to ascertain the optimal structure for the ODD symptoms by identifying whether ODD is a qualitatively distinct entity (categorical) or is a continuum, with high levels on this continuum reflecting ODD (quantitative or dimensional view). METHODS: Mothers' ratings of the ODD symptoms of 457 children, aged 3 to 15years, as presented in the disruptive behavior rating scale were obtained...
December 8, 2017: Comprehensive Psychiatry
https://www.readbyqxmd.com/read/29305761/patterns-of-substance-use-and-arrest-histories-among-hospitalized-hiv-drug-users-a-latent-class-analysis
#13
Karen Shiu-Yee, Ahnalee M Brincks, Daniel J Feaster, Jemima A Frimpong, Ank Nijhawan, Raul N Mandler, Robert Schwartz, Carlos Del Rio, Lisa R Metsch
Using baseline data from the NIDA Clinical Trials Network 0049 study (Project HOPE), we performed latent class analyses (LCA) to identify discrete classes, or clusters, of people living with HIV (PLWH) based on their past year substance use behaviors and lifetime arrest history. We also performed multinomial logistic regressions to identify key characteristics associated with class membership. We identified 5 classes of substance users (minimal drug users, cocaine users, substantial cocaine/hazardous alcohol users, problem polysubstance users, substantial cocaine/heroin users) and 3 classes of arrest history (minimal arrests, non-drug arrests, drug-related arrests)...
January 5, 2018: AIDS and Behavior
https://www.readbyqxmd.com/read/29304947/trading-bankruptcy-for-health-a-discrete-choice-experiment
#14
Mark G Shrime, Milton C Weinstein, James K Hammitt, Jessica L Cohen, Joshua A Salomon
BACKGROUND: Although nearly two-third of bankruptcy in the United States is medical in origin, a common assumption is that individuals facing a potentially lethal disease opt for cure at any cost. This assumption has never been tested, and knowledge of how the American population values a trade-off between cure and bankruptcy is unknown. OBJECTIVES: To determine the relative importance among the general American population of improved health versus improved financial risk protection, and to determine the impact of demographics on these preferences...
January 2018: Value in Health: the Journal of the International Society for Pharmacoeconomics and Outcomes Research
https://www.readbyqxmd.com/read/29300827/miic-online-a-web-server-to-reconstruct-causal-or-non-causal-networks-from-non-perturbative-data
#15
Nadir Sella, Louis Verny, Guido Uguzzoni, Séverine Affeldt, Hervé Isambert
Summary: We present a web server running the MIIC algorithm, a network learning method combining constraint-based and information-theoretic frameworks to reconstruct causal, non-causal or mixed networks from non-perturbative data, without the need for an a priori choice on the class of reconstructed network. Starting from a fully connected network, the algorithm first removes dispensable edges by iteratively subtracting the most significant information contributions from indirect paths between each pair of variables...
December 29, 2017: Bioinformatics
https://www.readbyqxmd.com/read/29298886/class-1-selective-histone-deacetylase-inhibitors-enhance-hiv-latency-reversal-while-preserving-the-activity-of-hdac-isoforms-necessary-for-maximal-hiv-gene-expression
#16
Thomas D Zaikos, Mark M Painter, Nadia T Sebastian, Valeri H Terry, Kathleen L Collins
Combinations of drugs that affect distinct mechanisms of HIV latency aim to induce robust latency reversal leading to cytopathicity and elimination of the persistent HIV reservoir. Thus far, attempts have focused on combinations of PKC agonists and pan-histone deacetylase inhibitors (HDIs) despite the knowledge that HIV gene expression is regulated by class 1 histone deacetylases. We hypothesized that class 1-selective HDIs would promote more robust HIV latency reversal in combination with a PKC agonist than pan-HDIs because they preserve the activity of pro-viral factors regulated by non-class 1 histone deacetylases...
January 3, 2018: Journal of Virology
https://www.readbyqxmd.com/read/29298103/family-peer-and-school-influences-on-children-s-developing-health-lifestyles
#17
Stefanie Mollborn, Elizabeth Lawrence
Health lifestyles are important for health and social identity, yet little is known about their development in early life. We use data from the Early Childhood Longitudinal Study-Kindergarten Cohort of 1998-99 (ECLS-K; N = 8,786) to track children's health lifestyles and assess a theoretical model of health lifestyle development. Latent class analyses identify health lifestyles at four time points from first to eighth grade, and multivariate models investigate their interrelationships and social contextual influences...
January 1, 2018: Journal of Health and Social Behavior
https://www.readbyqxmd.com/read/29295878/understanding-comorbidity-profiles-and-their-effect-on-treatment-and-survival-in-patients-with-colorectal-cancer
#18
Erin E Hahn, Michael K Gould, Corrine E Munoz-Plaza, Janet S Lee, Carla Parry, Ernest Shen
Background: Patients with colorectal cancer (CRC) commonly present at an older age with multiple comorbid conditions and complex care needs at the time of diagnosis. Clusters of comorbid conditions, or profiles, have not been systematically identified in this patient population. This study aimed to identify clinically distinct comorbidity profiles in a large sample of patients with CRC from an integrated healthcare system, and to examine the effect of comorbidity profiles on treatment and survival. Methods: In this retrospective cohort study, we used latent class analysis (LCA) to identify comorbidity profiles in a sample of 7,803 patients with CRC diagnosed between 2008 and 2013...
January 2018: Journal of the National Comprehensive Cancer Network: JNCCN
https://www.readbyqxmd.com/read/29294985/predictors-of-ptsd-treatment-response-trajectories-in-a-sample-of-childhood-sexual-abuse-survivors-the-roles-of-social-support-coping-and-ptsd-symptom-clusters
#19
Shelley Fletcher, Ask Elklit, Mark Shevlin, Cherie Armour
This study aimed to (a) identify posttraumatic stress disorder (PTSD) trajectories in a sample of Danish treatment-seeking childhood sexual abuse (CSA) survivors and (b) examine the roles of social support, coping style, and individual PTSD symptom clusters (avoidance, reexperiencing, and hyperarousal) as predictors of the identified trajectories. We utilized a convenience sample of 439 CSA survivors attending personalized psychotherapy treatment in Denmark. Four assessments were conducted on a six monthly basis over a period of 18 months...
November 1, 2017: Journal of Interpersonal Violence
https://www.readbyqxmd.com/read/29294981/patterns-of-bullying-behavior-by-sexual-orientation
#20
Jeremy T Goldbach, Henry Fisher Raymond, Claire M Burgess
Bullying has a long-lasting effect on both victims and their perpetrators; however, there is little literature dedicated to understanding the roles of sexual minority adolescents beyond being a victim or the specific types of bullying behaviors (verbal, relational, physical) in which sexual minority adolescents engage. Even less is known about the experiences of mostly heterosexual youth, as distinct from their lesbian, gay, and bisexual (LGB) peers. This exploratory study sought to identify sexual orientation differences in bullying behavior participation using a random cluster sample obtained from a county school district in the Southeastern United States...
November 1, 2017: Journal of Interpersonal Violence
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