Relationship violence is prevalent among college students and frequently occurs before college. Emotional violence was most frequent before college; sexual and emotional violence were equally common during college. Women reported more victimization than men, but male victimization was common. Men perpetrated more sexual violence; women perpetrated more physical violence. Physical violence and emotional violence were most often committed by partners, while sexual violence was less likely to be partner related.
In clinical research, ethics review generally first examines whether study risks are reasonable in light of benefits provided. Through informed consent, then, prospective subjects consider whether the risk/benefit balance and procedures are reasonable for them. Unique ethics issues emerge in clinical research with healthy volunteers. Certain types of studies only recruit healthy volunteers as participants. Phase 1 studies, for example, including first time in human studies of investigational drugs and vaccines, generally are conducted in healthy volunteers. Although such research carries inherent and often unknown risks, healthy subjects provide the most efficient target population in which to conduct such research, as these volunteers generally are free of concurrent diseases or medications that could confound interpretation of toxicity. Other studies enrolling healthy volunteers often are simply looking for the most scientifically sound population for the study of normal human physiology.
To further the understanding of long-term sequelae as a result of repetitive head impacts in sports, in vivo head impact exposure data are critical to expand on existing evidence from animal model and laboratory studies. Recent technological advances have enabled the development of head impact sensors to estimate the head impact exposure of human subjects in vivo. Previous research has identified the limitations of filtering algorithms to process sensor data. In addition, observer and/or video confirmation of sensor-recorded events is crucial to remove false positives. The purpose of the current study was to conduct a systematic review to determine the proportion of published head impact sensor data studies that used filtering algorithms, observer confirmation and/or video confirmation of sensor-recorded events to remove false positives. Articles were eligible for inclusion if collection of head impact sensor data during live sport was reported in the methods section. Descriptive data, confirmation methods and algorithm use for included articles were coded. The primary objective of each study was reviewed to identify the primary measure of exposure, primary outcome and any additional covariates. A total of 168 articles met the inclusion criteria, the publication of which has increased in recent years. The majority used filtering algorithms (74%). The majority did not use observer and/or video confirmation for all sensor-recorded events (64%), which suggests estimates of head impact exposure from these studies may be imprecise.
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