Results 41 to 50 of about 48,842 (252)

The dynamics of adolescents’ pornography use and psychological well-being: a six-wave latent growth and latent class modeling approach

European Child & Adolescent Psychiatry, 2019
Despite increasing concerns that pornography decreases adolescents' well-being, existing empirical support for this position is largely limited to cross-sectional studies. To explore possible links between adolescent pornography use and psychological well-being more systematically, this study focused on parallel dynamics in pornography use, self-esteem
Aleksandar Štulhofer, Azra Tafro, Taylor Kohut   +2 more
  +6 more sources

Measuring the performance of LPA, LCGA, LGCM, and GMM in identifying the homogenous subgroups (latent classes) within the wider heterogeneous population of patients on DTG

Frontiers in Applied Mathematics and Statistics
BackgroundIdentifying heterogeneity in longitudinal data is critical for understanding diverse trajectories in clinical and epidemiological research. Traditional analytical methods often fail to distinguish latent subpopulations.
Harrid Nkhoma, Atupele Ngina Mulaga, Save Kumwenda, Mphatso Kamndaya   +3 more
doaj   +1 more source

Epigenetic blind spots – the role of DNA methylation dynamics in stem cell‐based models of embryogenesis

FEBS Letters, EarlyView.
Embryo‐like structures (stembryos) are an innovative tool, but they are hindered by experimental variability and limited developmental potential. DNA methylation is crucial for mammalian development, but its status in stembryo models is poorly characterized.
Sara Canil, Anna Corrà, Annalisa Scapolatiello, Chengxiang Qiu, Gianluca Amadei   +4 more
wiley   +1 more source

A bootstrap approach for validating the number of groups identified by latent class growth models

, 2022
The use of longitudinal finite mixture models such as group-based trajectory modeling has seen a sharp increase during the last decades in the medical literature. However, these methods have been criticized especially because of the data-driven modelling process which involves statistical decision-making. In this paper, we propose an approach that uses
Mésidor, Miceline, Sirois, Caroline, Simard, Marc, Talbot, Denis   +3 more
openaire   +2 more sources

Recovery Trajectories of Executive Functioning After Pediatric TBI: A Latent Class Growth Modeling Analysis [PDF]

Journal of Head Trauma Rehabilitation, 2017
Objective: To identify latent trajectories of executive functioning (EF) recovery overtime after childhood traumatic brain injury (TBI) and examine the predictive value of known risk factors within and across recovery trajectories using latent class growth modeling (LCGM). Method: A
Megan E, Narad, Amery, Treble-Barna, James, Peugh, Keith O, Yeates, H Gerry, Taylor, Terry, Stancin, Shari L, Wade   +6 more
openaire   +2 more sources

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

Molecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson, Lyanne Delgado‐Coka, Natalia Marchenko, Luisa F. Escobar‐Hoyos, Kenneth R. Shroyer, Alisa Yurovsky, Trey Ideker, Gábor Balázsi, Thomas MacCarthy, Scott Powers   +9 more
wiley   +1 more source

Metastasis on pause: How dormant tumor cells stay hidden within the tumor microenvironment and evade immune surveillance

Molecular Oncology, EarlyView.
Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary, Jose Javier Bravo‐Cordero   +1 more
wiley   +1 more source

Epigenetic heterogeneity and plasticity in therapy‐induced tumor states through single‐cell multi‐omics

Molecular Oncology, EarlyView.
Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim, Hwiyeong Lee, Jin Hong, Daechan Park   +3 more
wiley   +1 more source

Early‐life high‐fat diet exposure increases Achilles tendon stiffness and induces transcriptomic alterations

FEBS Open Bio, EarlyView.
Early‐life exposure to a high‐fat diet altered intact Achilles tendons in rat offspring, making them thinner, stiffer, and molecularly distinct even without injury. These findings suggest that developmental high‐fat diet exposure may impair tendon quality and increase susceptibility to mechanical overload or tendon injury later in life.
Heyong Yin, Ziyang Yuan, Wenli Jiang, Ai Guo   +3 more
wiley   +1 more source

The heterogeneous life space trajectories and predictors in stroke patients: a cohort study

Frontiers in Neurology
ObjectiveThis study aimed to identify heterogeneous trajectories of life space among stroke patients and explore the predictors for different classes of life space.MethodsThis prospective cohort study assessed 210 stroke patients’ life space at baseline ...
Bei Yang, Bei Yang, Rui Xie, Siyuan Ge, Ruixue Tang, Kangyao Cheng, Yin Wang   +6 more
doaj   +1 more source