Effect of smoking on aging of photoprotected skin - Evidence gathered using a new photonumeric scale

Effect of smoking on aging of photoprotected skin - Evidence gathered using a new photonumeric scale
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DOI:
10.1001/archderm.143.3.397
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发表时间:
2007-03-01
影响因子:
--
通讯作者:
King, Anya
King, Anya
中科院分区:
其他
文献类型:
--
作者:
Helfrich, Yolanda R.;Yu, Le;King, Anya

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目的:开发一个可重复的photonumeric规模,以评估photoprotected皮肤老化,并确定是否健康和生活方式的因素,如吸烟,影响皮肤老化的photoprotected sites.Design:使用标准的照片参与者的上臂内侧,我们创建了一个9点photonumeric规模。三名设盲的审查员使用该量表对照片进行评分。参与者回答了多个生活方式问题。设置:学术门诊皮肤科诊所。参与者:82名健康男性和女性,年龄22至91岁。干预措施:一名专业医疗摄影师对每位参与者的上臂内侧进行标准化拍照。参与者回答了标准化的健康和生活方式问题。主要结果测量:(1)使用光数值量表的观察者间一致性和再现性;(2)最能预测光防护皮肤老化程度的健康和生活方式因素。有良好的盲观察者之间的协议,衡量每个参与者的分歧分数的最大范围(平均值,0.91; 95%置信区间,0.76-1.06)。结果具有重现性。我们开发了一个多元回归模型,表明最好的模型,用于预测的光保护皮肤老化的程度,包括2个变量:年龄和吸烟的香烟包,每天.Conclusions:这photonumeric规模表现出良好的interobserver协议和良好的再现性。使用该量表,光保护皮肤的老化程度与患者年龄和吸烟史显著相关。需要进一步的研究来继续收集关于光保护皮肤老化的独立风险因素的信息。
Objectives: To develop a reproducible photonumeric scale to assess photoprotected skin aging and to determine whether health and lifestyle factors, such as smoking, affect skin aging in photoprotected sites.Design: Using standard photographs of participants' upper inner arms, we created a 9-point photonumeric scale. Three blinded reviewers used the scale to grade the photographs. Participants answered multiple lifestyle questions.Setting: Academic outpatient dermatology clinic.Participants: Eighty-two healthy men and women aged 22 to 91 years.Interventions: A professional medical photographer took standardized photographs of each participant's upper inner arm. Participants answered standardized health and lifestyle questions.Main Outcome Measures: (1) Interobserver agreement and reproducibility using the photonumeric scale and (2) health and lifestyle factors most predictive of the degree of aging in photoprotected skin.Results: There was good blinded interobserver agreement as measured by the maximum range of disagreement scores for each participant (mean, 0.91; 95% confidence interval, 0.76-1.06). Results were reproducible. We developed a multiple regression model showing that the best model for predicting the degree of aging in photoprotected skin includes 2 variables: age and packs of cigarettes smoked per day.Conclusions: This photonumeric scale demonstrates good interobserver agreement and good reproducibility. Using this scale, the degree of aging in photoprotected skin was significantly correlated with patient age and a history of cigarette smoking. Additional studies are needed to continue garnering information regarding independent risk factors for aging of photoprotected skin.