Helping nurses increase their human relations skills; an account of a workshop offered by the University of Pittsburg Graduate School of Public Health [June 15-24, 1955]

Bibliography: leaves xi-xx.Mode of access: Internet

STM_diagram_traditional_approach – Supplemental material for A Multidimensional Array Representation of State-Transition Model Dynamics

Supplemental material, STM_diagram_traditional_approach for A Multidimensional Array Representation of State-Transition Model Dynamics by Eline M. Krijkamp, Fernando Alarid-Escudero, Eva A. Enns, Petros Pechlivanoglou, M.G. Myriam Hunink, Alan Yang and Hawre J. Jalal in Medical Decision Makin

3D_memory – Supplemental material for A Multidimensional Array Representation of State-Transition Model Dynamics

Supplemental material, 3D_memory for A Multidimensional Array Representation of State-Transition Model Dynamics by Eline M. Krijkamp, Fernando Alarid-Escudero, Eva A. Enns, Petros Pechlivanoglou, M.G. Myriam Hunink, Alan Yang and Hawre J. Jalal in Medical Decision Makin

3D_time – Supplemental material for A Multidimensional Array Representation of State-Transition Model Dynamics

Supplemental material, 3D_time for A Multidimensional Array Representation of State-Transition Model Dynamics by Eline M. Krijkamp, Fernando Alarid-Escudero, Eva A. Enns, Petros Pechlivanoglou, M.G. Myriam Hunink, Alan Yang and Hawre J. Jalal in Medical Decision Makin

3D_time – Supplemental material for A Multidimensional Array Representation of State-Transition Model Dynamics

Supplemental material, 3D_time for A Multidimensional Array Representation of State-Transition Model Dynamics by Eline M. Krijkamp, Fernando Alarid-Escudero, Eva A. Enns, Petros Pechlivanoglou, M.G. Myriam Hunink, Alan Yang and Hawre J. Jalal in Medical Decision Makin

Subclinical binge eating symptoms in early adolescence and its preceding and concurrent factors: a population-based study

Abstract Objective Binge eating, loss of control eating and overeating often develop during late childhood or early adolescence. Understanding the presentation of binge eating as early as symptoms manifest and its preceding and concurrent factors is essential to hamper the development of eating disorders. This study examined the prevalence, concurrent and preceding factors (e.g. compensatory behaviors, emotional and behavioral problems) of subclinical binge eating symptoms in early adolescence. Methods Data from the population-based Generation R Study were used (n = 3595). At 10 years and 14 years, preceding and concurrent factors including eating behaviors, body dissatisfaction, emotional and behavioral problems and body composition were assessed. At 14 years, 3595 adolescents self-reported on binge eating symptoms in the past 3 months and were categorized into four groups: no symptoms (n = 3143, 87.4%), overeating only (n = 121, 3.4%), loss of control (LOC) eating only (n = 252, 7.0%) or binge eating (i.e. both, n = 79, 2.2%). Results In total, 452 (12.6%) young adolescents reported subclinical binge eating symptoms. Those who reported LOC eating and binge eating showed most compensatory behaviors (e.g. hide or throw away food, skipping meals). Concurrent emotional and behavioral problems, body dissatisfaction, more emotional-, restrained- and uncontrolled eating, and a higher BMI were associated with subclinical binge eating symptoms. Preceding self-reported emotional and behavioral problems, body dissatisfaction, more restrained eating and higher BMI (both fat mass and fat-free mass) at 10 years were associated with LOC eating and binge eating, but not with overeating. Discussion Among young adolescents, subclinical binge eating symptoms were common. Considering the high prevalence of LOC eating, and the overlapping preceding and concurrent factors of LOC eating and binge eating compared to overeating, LOC eating seems to be a key symptom of binge eating in early adolescence

Additional file 2 of Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

Additional file 2: Table S2. Association results for the multi-ancestry index SNPs with the gene prioritization

Additional file 18 of Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

Additional file 18: Table S10. Lambda GC values across minor allele frequency bins for sex-specific meta-analyses