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用于医学研究的评估纹身人群墨水暴露及相关因素的流行病学纹身评估工具的开发与验证:横断面验证研究

Development and Validation of the Epidemiological Tattoo Assessment Tool to Assess Ink Exposure and Related Factors in Tattooed Populations for Medical Research: Cross-sectional Validation Study.

作者信息

Foerster Milena, Dufour Lucas, Bäumler Wolfgang, Schreiver Ines, Goldberg Marcel, Zins Marie, Ezzedine Khaled, Schüz Joachim

机构信息

Environment and Lifestyle Epidemiology Branch, International Agency for Research on Cancer, World Health Organisation, Lyon, France.

Department of Dermatology, University Hospital of Regensburg, Regensburg, Germany.

出版信息

JMIR Form Res. 2023 Jan 11;7:e42158. doi: 10.2196/42158.

Abstract

BACKGROUND

Tattooing, whose popularity is growing worldwide, is an invasive body art that involves the injection of chemical mixtures, the tattoo ink, into the upper layer of the dermis. Although these inks may contain environmental toxins, including known human carcinogens, their long-term health effects are poorly studied. To conduct the urgently required epidemiological studies on tattoos and their long-term health effects, a validated method for assessing the complex tattoo exposure is needed.

OBJECTIVE

We aimed to develop and validate the Epidemiological Tattoo Assessment Tool (EpiTAT), a questionnaire to self-assess tattoo ink exposure in tattooed populations suitable for application in large epidemiological cohort studies.

METHODS

One of 3 preliminary versions of the EpiTAT using one of the alternative tattoo measurement units hand surface, credit card, or body schemes was randomly filled in by tattooed volunteers in Lyon, France. To identify the most suitable unit of tattoo self-assessment, a validation study was conducted with the selected respondents (N=97) to compare the self-assessments of tattoo surface, color, and coverage with validation measurements made by trained study personnel. Intraclass correlation, the Kendall rank correlation, and 2-tailed t tests were used to statistically compare tattoo size, color area, and tattoo coverage separately for each questionnaire version. Participants' opinions on the alternative measurement units were also considered in the overall evaluation. For quality control of the validation measures, digital surface analysis of 62 photographs of selected tattoos was performed using Fiji/ImageJ.

RESULTS

In general, the results revealed overestimation of self-assessed measures compared with validation measures (eg, mean tattooed body surface 1768, SD 1547, cm vs 930, SD 1047, cm, respectively, for hand surface; P<.001) and validation measures compared with digital image analysis (mean individual tattoo surface 147, SD 303.9, cm vs 101, SD 154.7, cm, respectively; P=.05). Although the measurement unit credit card yielded the most accurate measures for all variables of interest, it had a much lower completion rate (78/129, 60.5%) than hand surface (89/104, 85.6%) and body schemes (90/106, 84.9%). Hand surface measured total tattoo size more accurately than body schemes (absolute agreement intraclass correlation coefficient: 0.71 vs 0.64, respectively).

CONCLUSIONS

The final version of the EpiTAT contains 21 items and uses hand surface as a visual unit of measurement. Likert scales are used to assess color and coverage as a proportion of the total tattoo area. The overestimation of tattoo size by self-reporting merits further research to identify potential influential factors or predictive patterns that could be considered when calculating exposure.

摘要

背景

纹身作为一种侵入性的人体艺术,在全球范围内越来越受欢迎,它涉及将化学混合物即纹身墨水注入真皮上层。尽管这些墨水可能含有环境毒素,包括已知的人类致癌物,但其对健康的长期影响却鲜有研究。为了开展关于纹身及其长期健康影响的迫切需要的流行病学研究,需要一种经过验证的方法来评估复杂的纹身暴露情况。

目的

我们旨在开发并验证流行病学纹身评估工具(EpiTAT),这是一种用于自我评估纹身人群中纹身墨水暴露情况的问卷,适用于大型流行病学队列研究。

方法

法国里昂的纹身志愿者随机填写EpiTAT三个初步版本之一,每个版本使用不同的纹身测量单位,即手部表面、信用卡或身体图式。为确定最合适的纹身自我评估单位,对选定的受访者(N = 97)进行了一项验证研究,以比较纹身表面、颜色和覆盖范围的自我评估与经过培训的研究人员进行的验证测量结果。使用组内相关系数、肯德尔等级相关系数和双尾t检验分别对每个问卷版本的纹身大小、颜色面积和纹身覆盖范围进行统计学比较。在总体评估中也考虑了参与者对不同测量单位的意见。为了验证测量的质量控制,使用Fiji/ImageJ对62张选定纹身的照片进行了数字表面分析。

结果

总体而言,结果显示自我评估测量值与验证测量值相比存在高估(例如,手部表面的纹身身体表面积自我评估均值为1768,标准差为1547平方厘米,而验证测量值分别为930,标准差为1047平方厘米;P <.001),且验证测量值与数字图像分析结果相比也存在高估(个体纹身表面均值分别为147,标准差为303.9平方厘米和101,标准差为154.7平方厘米;P =.05)。尽管信用卡测量单位对所有感兴趣的变量产生的测量结果最准确,但其完成率(78/129,60.5%)远低于手部表面(89/104,85.6%)和身体图式(90/106,84.9%)。手部表面比身体图式更准确地测量了纹身的总面积(组内相关系数绝对一致性:分别为0.71和0.64)。

结论

EpiTAT的最终版本包含21个项目,并使用手部表面作为视觉测量单位。李克特量表用于评估颜色和覆盖范围占纹身总面积的比例。自我报告对纹身大小的高估值得进一步研究,以确定在计算暴露量时可考虑的潜在影响因素或预测模式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d7e/9878366/a26fc338461f/formative_v7i1e42158_fig1.jpg

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