La Trobe University

About: La Trobe University is a education organization based out in Melbourne, Victoria, Australia. It is known for research contribution in the topics: Population & Health care. The organization has 13370 authors who have published 41291 publications receiving 1138269 citations. The organization is also known as: LaTrobe University & LTU.

Body Dissatisfaction Prospectively Predicts Depressive Mood and Low Self-Esteem in Adolescent Girls and Boys

Abstract: This research examined whether body dissatisfaction prospectively predicted depressive mood and low self-esteem in adolescent girls and boys 5 years later. Participants were early-adolescent girls (n = 440, Time 1 M age = 12.7 years) and boys (n = 366, Time 1 M age = 12.8 years) and midadolescent girls (n = 946, Time 1 M age = 15.8 years) and boys (n = 764, Time 1 M age = 15.9 years). After controlling for Time 1 of the relevant dependent variable, ethnicity, socioeconomic status, and body mass index, Time 1 body dissatisfaction was a unique predictor of Time 2 depressive mood and low self-esteem in early-adolescent girls (depressive mood: F = 4.80, p < .05; self-esteem: F = 9.64, p < .01) and midadolescent boys (depressive mood: F = 12.27, p < .001; self-esteem: F = 9.38, p < .01) but not in early-adolescent boys or midadolescent girls. These findings are consistent with the hypothesis that body dissatisfaction is a risk factor for depressive mood and low self-esteem in both girls and boys but in different phases of adolescence.

Introduction to Research in the Health Sciences

Abstract: Preface. Section 1: The scientific method. Chapter 1 - Methods and health research. Discussion, questions and answers. Section 2: Research planning. Chapter 2 - Research planning. Chapter 3 - Sampling methods and external validity. Chapter 4 - Causal research and internal validity. Discussion, questions and answers. Section 3: Research designs. Chapter 5 - Experimental designs and intervention studies. Chapter 6 - Surveys and quasi-experimental designs. Chapter 7 - Single case (n=1) designs. Chapter 8 - Qualitative research. Discussion, questions and answers. Section 4: Data collection. Chapter 9 - Questionnaire design. Chapter 10 - Interview techniques and the analysis of interview data. Chapter 11 - Observation. Chapter 12 - Measurement. Discussion, questions and answers. Section 5: Descriptive statistics. Chapter 13 - Organisation and presentation of data. Chapter 14 - Measures of central tendency and variability. Chapter 15 - Standard scores and normal curve. Chapter 16 - Correlation. Discussion, questions and answers. Section 6: Inferential statistics. Chapter 17 - Probability and sampling distributions. Chapter 18 - Hypotheses testing. Chapter 19 - Selection and use of statistical tests. Chapter 20 - The interpretation of research evidence. Discussion, questions and answers. Section 7: Dissemination and critical evaluation of research. Chapter 21 - Qualitative data analysis. Chapter 22 - Presentation of health science research. Chapter 23 - Critical evaluation of published research. Chapter 24 - Syntheses of research evidence. Glossary. References and further reading. Answers to questions. Appendices. Index.

Extracellular vesicle isolation and characterization: toward clinical application

Abstract: Two broad categories of extracellular vesicles (EVs), exosomes and shed microvesicles (sMVs), which differ in size distribution as well as protein and RNA profiles, have been described. EVs are known to play key roles in cell-cell communication, acting proximally as well as systemically. This Review discusses the nature of EV subtypes, strategies for isolating EVs from both cell-culture media and body fluids, and procedures for quantifying EVs. We also discuss proteins selectively enriched in exosomes and sMVs that have the potential for use as markers to discriminate between EV subtypes, as well as various applications of EVs in clinical diagnosis.

Drawing to Learn in Science.

Abstract: Should science learners be challenged to draw more? Certainly making visualizations is integral to scientific thinking. Scientists do not use words only but rely on diagrams, graphs, videos, photographs, and other images to make discoveries, explain findings, and excite public interest. From the notebooks of Faraday and Maxwell ( 1 ) to current professional practices of chemists ( 2 ), scientists imagine new relations, test ideas, and elaborate knowledge through visual representations ( 3 – 5 ).