A cross-sectional study is a type of observational study that examines data from a population, or a representative subset, at a particular point in time—that is, cross-sectional data—in the fields of medicine, social science, and biology. It is also referred to as a cross-sectional analysis, a transverse study, or a prevalence study. Cross-sectional studies, which are more common in medical research than case-control studies, aim to provide data on the entire population being studied, as opposed to case-control studies, which typically include only people who have developed a particular condition and compare them with a matched sample—often a very small minority—of the rest of the population. Descriptive studies include cross-sectional investigations. In contrast to case-control studies, they may be used to describe absolute risks and relative risks based on prevalences in addition to the odds ratio.
Title : Gamification and enabling technologies in preventative healthcare
David John Wortley, International Society of Digital Medicine (ISDM), United Kingdom
Title : Aidiet intervention vs. Hormonal and immune-metabolic health in normal and overweight adolescent girls with polycystic ovary syndrome
Malgorzata Mizgier, Poznan University of Physical Education, Poland
Title : Migration: A major challenge to health and safety at work
Mark Fullemann, Practice & Experience GmbH, Switzerland
Title : Principles and standards for designing and managing intelligent and ethical health and social care ecosystems
Habil Bernd Blobel, University of Regensburg, Germany
Title : Trends in the epigenetics human longevity: Sorting hope from hype
Kenneth R Pelletier, University of California, United States
Title : Occupational health and safety of Hong Kong nursing students during clinical placement: A study tool development
Wong Yat Cheung Maggie, Saint Francis University, Hong Kong