• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

社会经济地位、种族与青春期前痤疮:美国一个城乡混合社区(明尼苏达州奥姆斯特德县)的基于人群的回顾性队列分析。

Socioeconomic status, race, and preadolescent acne: A population-based retrospective cohort analysis in a mixed rural-urban community of the United States (Olmsted County, Minnesota).

机构信息

Ponce Health Sciences University, Ponce, Puerto Rico, USA.

Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, Minnesota, USA.

出版信息

Pediatr Dermatol. 2023 May-Jun;40(3):460-465. doi: 10.1111/pde.15294. Epub 2023 Mar 25.

DOI:10.1111/pde.15294
PMID:36965126
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10202841/
Abstract

BACKGROUND/OBJECTIVE: There is limited information about the potential relationship of socioeconomic status (SES) with acne in preadolescents. Our objective was to assess the possible relationship between SES and preadolescent acne.

METHODS

A population-based retrospective cohort study was conducted to identify Olmsted County, Minnesota, residents with an initial acne diagnosis between 7 and ≤12 years old during 2010 to 2018 using the Rochester Epidemiology Project. For each acne case, we randomly selected 2 sex- and age-matched controls without an acne diagnosis from the county. Individual HOUsing-based SocioEconomic Status index (HOUSES) derived from real property data was used to evaluate SES, represented as four quartiles with higher quartile representing higher SES.

RESULTS

A total of 604 patients met the criteria. HOUSES distribution significantly differed between cases and controls (p = .001); a higher proportion of acne cases were in quartile 4 (42.2% vs. 32.7%), indicating higher SES. Race and ethnicity did not significantly differ between cases and controls. Among cases and controls, 74.5% and 72.3% were White, respectively. Study limitations include its retrospective design, only patients who visited a physician were included, and Olmsted County residents are largely non-Hispanic White.

CONCLUSION

Preadolescents diagnosed with acne have a higher SES than those without diagnosed acne, highlighting a potential disparity in access to care and appropriate diagnosis.

摘要

背景/目的:关于社会经济地位(SES)与青少年痤疮之间潜在关系的信息有限。我们的目的是评估 SES 与青少年痤疮之间可能存在的关系。

方法

采用基于人群的回顾性队列研究,使用罗切斯特流行病学项目,在 2010 年至 2018 年间,确定明尼苏达州奥姆斯特德县 7 岁至≤12 岁之间初次诊断为痤疮的居民。对于每例痤疮病例,我们从该县随机选择 2 名性别和年龄匹配、无痤疮诊断的对照者。使用基于住房的个体社会经济地位指数(HOUSES)评估 SES,该指数基于房地产数据得出,代表四个四分位数,较高的四分位数代表较高的 SES。

结果

共有 604 名患者符合标准。病例组和对照组的 HOUSES 分布差异显著(p=0.001);痤疮病例中较高 SES 的四分位数 4 比例更高(42.2% vs. 32.7%)。病例组和对照组的种族和民族差异无统计学意义。在病例组和对照组中,分别有 74.5%和 72.3%为白人。研究的局限性包括其回顾性设计、仅纳入了就诊过的患者,以及奥姆斯特德县居民主要是非西班牙裔白人。

结论

被诊断为痤疮的青少年比未被诊断为痤疮的青少年 SES 更高,这突出了在获得护理和进行适当诊断方面可能存在的差异。

相似文献

1
Socioeconomic status, race, and preadolescent acne: A population-based retrospective cohort analysis in a mixed rural-urban community of the United States (Olmsted County, Minnesota).社会经济地位、种族与青春期前痤疮:美国一个城乡混合社区(明尼苏达州奥姆斯特德县)的基于人群的回顾性队列分析。
Pediatr Dermatol. 2023 May-Jun;40(3):460-465. doi: 10.1111/pde.15294. Epub 2023 Mar 25.
2
Socioeconomic Status, Race/Ethnicity, and Health Disparities in Children and Adolescents in a Mixed Rural-Urban Community-Olmsted County, Minnesota.社会经济地位、种族/民族与明尼苏达州混合城乡社区-奥姆斯特德县儿童和青少年的健康差异。
Mayo Clin Proc. 2019 Jan;94(1):44-53. doi: 10.1016/j.mayocp.2018.06.030.
3
Ethnicity, Socioeconomic Status, and Health Disparities in a Mixed Rural-Urban US Community-Olmsted County, Minnesota.美国城乡混合社区(明尼苏达州奥尔姆斯特德县)的种族、社会经济地位与健康差异
Mayo Clin Proc. 2016 May;91(5):612-22. doi: 10.1016/j.mayocp.2016.02.011. Epub 2016 Apr 8.
4
A novel measure of socioeconomic status using individual housing data to assess the association of SES with rheumatoid arthritis and its mortality: a population-based case-control study.一种使用个人住房数据评估社会经济地位(SES)与类风湿关节炎及其死亡率之间关联的新型社会经济地位衡量方法:一项基于人群的病例对照研究。
BMJ Open. 2015 Apr 29;5(4):e006469. doi: 10.1136/bmjopen-2014-006469.
5
An Individual Housing-Based Socioeconomic Status Measure Predicts Advance Care Planning and Nursing Home Utilization.一种基于个人住房的社会经济地位衡量指标可预测预先护理计划和养老院使用情况。
Am J Hosp Palliat Care. 2019 May;36(5):362-369. doi: 10.1177/1049909118812431. Epub 2018 Nov 20.
6
An innovative housing-related measure for individual socioeconomic status and human papillomavirus vaccination coverage: A population-based cross-sectional study.一项针对个体社会经济地位和人乳头瘤病毒疫苗接种率的创新性住房相关措施:基于人群的横断面研究。
Vaccine. 2020 Sep 3;38(39):6112-6119. doi: 10.1016/j.vaccine.2020.07.026. Epub 2020 Jul 24.
7
Development and initial testing of a new socioeconomic status measure based on housing data.基于住房数据的新社会经济地位衡量指标的制定与初步测试。
J Urban Health. 2011 Oct;88(5):933-44. doi: 10.1007/s11524-011-9572-7.
8
Acne incidence in preadolescents and association with increased body mass index: A population-based retrospective cohort study of 643 cases with age- and sex-matched community controls.青少年前痤疮的发病率与体重指数增加的相关性:一项基于人群的回顾性队列研究,共纳入 643 例年龄和性别匹配的社区对照病例。
Pediatr Dermatol. 2023 May-Jun;40(3):428-433. doi: 10.1111/pde.15223. Epub 2023 Jan 3.
9
The relationship of 25-hydroxyvitamin D concentrations and individual-level socioeconomic status.25-羟维生素 D 浓度与个体社会经济地位的关系。
J Steroid Biochem Mol Biol. 2020 Mar;197:105545. doi: 10.1016/j.jsbmb.2019.105545. Epub 2019 Nov 18.
10
A novel housing-based socioeconomic measure predicts hospitalisation and multiple chronic conditions in a community population.一种基于住房的新型社会经济指标可预测社区人群的住院情况和多种慢性病。
J Epidemiol Community Health. 2016 Mar;70(3):286-91. doi: 10.1136/jech-2015-205925. Epub 2015 Oct 12.

本文引用的文献

1
Validating the optimal classification approach using International Classification of Diseases, 10th Revision codes to identify dermatology patients with acne.使用国际疾病分类第十次修订版代码验证最佳分类方法,以识别患有痤疮的皮肤科患者。
J Am Acad Dermatol. 2021 May;84(5):1491-1493. doi: 10.1016/j.jaad.2020.07.075. Epub 2020 Jul 22.
2
Association of Race/Ethnicity and Sex With Differences in Health Care Use and Treatment for Acne.种族/民族和性别与痤疮的医疗保健使用和治疗差异的关联。
JAMA Dermatol. 2020 Mar 1;156(3):312-319. doi: 10.1001/jamadermatol.2019.4818.
3
HOUSES Index as an Innovative Socioeconomic Measure Predicts Graft Failure Among Kidney Transplant Recipients.HOUSES 指数作为一种创新性的社会经济衡量指标,可预测肾移植受者的移植物失功。
Transplantation. 2020 Nov;104(11):2383-2392. doi: 10.1097/TP.0000000000003131.
4
Association between an individual housing-based socioeconomic index and inconsistent self-reporting of health conditions: a prospective cohort study in the Mayo Clinic Biobank.基于个体住房情况的社会经济指数与健康状况自我报告不一致之间的关联:梅奥诊所生物样本库的一项前瞻性队列研究
BMJ Open. 2018 May 14;8(5):e020054. doi: 10.1136/bmjopen-2017-020054.
5
Data Resource Profile: Expansion of the Rochester Epidemiology Project medical records-linkage system (E-REP).数据资源简介:罗切斯特流行病学项目医疗记录链接系统(E-REP)的扩展
Int J Epidemiol. 2018 Apr 1;47(2):368-368j. doi: 10.1093/ije/dyx268.
6
Racial disparities in the management of acne: evidence from the National Ambulatory Medical Care Survey, 2005-2014.痤疮治疗中的种族差异:来自2005 - 2014年国家门诊医疗护理调查的证据
J Dermatolog Treat. 2018 May;29(3):287-289. doi: 10.1080/09546634.2017.1371836. Epub 2017 Sep 11.
7
Disparities in access to a dermatologist for acne care in the United States.美国在获得皮肤科医生治疗痤疮方面存在的差异。
Int J Dermatol. 2017 Jun;56(6):e131-e133. doi: 10.1111/ijd.13481. Epub 2017 Mar 1.
8
Assessing health disparities in children using a modified housing-related socioeconomic status measure: a cross-sectional study.使用改良的住房相关社会经济地位指标评估儿童健康差异:一项横断面研究。
BMJ Open. 2016 Jul 22;6(7):e011564. doi: 10.1136/bmjopen-2016-011564.
9
Acne scars in 18-year-old male adolescents: a population-based study of prevalence and associated factors.18岁男性青少年的痤疮瘢痕:一项基于人群的患病率及相关因素研究。
An Bras Dermatol. 2016 May-Jun;91(3):291-5. doi: 10.1590/abd1806-4841.20164405.
10
Role of individual-housing-based socioeconomic status measure in relation to smoking status among late adolescents with asthma.基于个体住房情况的社会经济地位衡量指标与晚期青少年哮喘患者吸烟状况的关系
Ann Epidemiol. 2016 Jul;26(7):455-460. doi: 10.1016/j.annepidem.2016.05.001. Epub 2016 May 11.