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Characterization of personal solar ultraviolet radiation exposure using detrended fluctuation analysis

机译:趋势波动分析法表征个人太阳紫外线辐射暴露

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摘要

Studies of personal solar ultraviolet radiation (pUVR) exposure are important to identify populations at-risk of excess and insufficient exposure given the negative and positive health impacts, respectively, of time spent in the sun. Electronic UVR dosimeters measure personal solar UVR exposure at high frequency intervals generating large datasets. Sophisticated methods are needed to analyze these data. Previously, wavelet transform (WT) analysis was applied to high-frequency personal recordings collected by electronic UVR dosimeters. Those findings showed scaling behavior in the datasets that changed from uncorrelated to long-range correlated with increasing duration of time spent in the sun. We hypothesized that the WT slope would be influenced by the duration of time that a person spends in continuum outside. In this study, we address this hypothesis by using an experimental study approach. We aimed to corroborate this hypothesis and to characterize the extent and nature of influence time a person spends outside has on the shape of statistical functions that we used to analyze individual UVR exposure patterns. Detrended fluctuation analysis (DFA) was applied to personal sun exposure data. We analyzed sun exposure recordings from skiers (on snow) and hikers in Europe, golfers in New Zealand and outdoor workers in South Africa. Results confirmed validity of the DFA superposition rule for assessment of pUVR data and showed that pUVR scaling is determined by personal patterns of exposure on lower scales. We also showed that this dominance ends at the range of time scales comparable to the maximal duration of continuous exposure to solar UVR during the day; in this way the superposition rule can be used to quantify behavioral patterns, particularly accurate if it is determined on WT curves. These findings confirm a novel way in which large datasets of personal UVR data may be analyzed to inform messaging regarding safe sun exposure for human health.
机译:对个人太阳紫外线辐射(pUVR)暴露进行研究对于确定人口面临过度和不足暴露的风险非常重要,因为分别暴露在阳光下的时间会对健康造成负面和正面影响。电子UVR剂量计以高频率间隔测量个人日照UVR暴露,从而生成大量数据集。需要复杂的方法来分析这些数据。以前,小波变换(WT)分析应用于电子UVR剂量计收集的高频个人记录。这些发现表明,随着时间的增加,数据集中的缩放行为从不相关变为远距离相关,并随着时间的延长而增加。我们假设WT斜率将受到一个人在外部连续体上度过的时间的影响。在这项研究中,我们通过使用实验研究方法来解决这个假设。我们旨在证实这一假设,并描述人们在户外度过的时间对统计功能的影响程度和性质,这些统计功能用于分析各个UVR暴露模式。将去趋势波动分析(DFA)应用于个人日晒数据。我们分析了欧洲滑雪者(在雪地上)和徒步旅行者,新西兰的高尔夫球手和南非的户外工人的日照记录。结果证实了DFA叠加规则对pUVR数据评估的有效性,并表明pUVR缩放由较低等级的个人暴露模式决定。我们还表明,这一优势在与日间连续暴露于太阳UVR的最大持续时间相当的时间范围内结束。以这种方式,叠加规则可用于量化行为模式,如果在WT曲线上确定,则特别准确。这些发现证实了一种新颖的方法,在该方法中,可以分析个人UVR数据的大型数据集,以告知有关安全暴露于人类健康的信息。

著录项

  • 来源
    《Environmental research》 |2020年第3期|108976.1-108976.8|共8页
  • 作者单位

    Institute for Medical Research University jo Belgrade Belgrade Serbia Department of Environmental Sciences Informatics and Statistics Ca'Foscari University fo Venice Venice Italy Center for Participatory Science Belgrade Serbia;

    Department of Geography Geoinformatics and Meteorology University of Pretoria Pretoria South Africa;

    Faculty of Dental Medicine University of Belgrade Belgrade Serbia;

    Faculty of Veterinary Medicine University of Belgrade Serbia;

    Occupational Hygiene and Health Research Initiative (OHHPJ) Faculty of Health Sciences North-West University Potchefstroom South Africa;

    MacDiarmid Institute for Advanced Materials and Nanotechnology University of Canterbury New Zealand;

    Department of Geography Geoinformatics and Meteorology University of Pretoria Pretoria South Africa Environment and Health Research Unit South African Medical Research Council Pretoria South Africa;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Solar ultraviolet radiation exposure; Personal dosimetry; Statistical analysis; Environmental health;

    机译:太阳紫外线辐射暴露;个人剂量学;统计分析;环境卫生;

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