This readme.txt file was generated on 2024-10-10 by Recommended citation for the data: Bagheri Hosseinabadi, Majid; Yu, Minji; Petersen, Ashley; Griffin, Linsey; Durfee, William; Arnold, Susan. (2024). N95 filtering facepiece respirator fit test performance for the general population attending Minnesota State Fair 2021 and 2022. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://hdl.handle.net/11299/265860. ------------------- GENERAL INFORMATION ------------------- 1. Title of Dataset: N95 filtering facepiece respirator fit test performance for the general population attending Minnesota State Fair 2021 and 2022 2. Author Information Author Contact: Susan Arnold (arnol353@umn.edu) Name: Majid Bagheri Hosseinabadi Institution: School of Public Health Email: baghe020@umn.edu ORCID: 0000-0002-5477-199X Name: Minji Yu Institution: Email: yu000480@umn.edu ORCID: 0000-0003-3997-6409 Name: Ashley Petersen Institution: Email: pete6459@umn.edu ORCID: 0000-0001-7711-9657 Name: Linsey Griffin Institution: Email: lgriffin@umn.edu ORCID: 0000-0003-4058-5106 Name: William Durfee Institution: Email: wkdurfee@umn.edu ORCID: 0000-0002-9747-2199 Name: Susan Arnold Institution: Email: arnol353@umn.edu ORCID: 0000-0002-1465-3761 3. Date published or finalized for release: 2024-10-07 4. Date of data collection: 2021-08-26 to 2022-09-05 5. Geographic location of data collection (where was data collected?): Minnapolis, Minnesota 6. Information about funding sources that supported the collection of the data: 7. Overview of the data (abstract): The data was collected using a demographic questionnaire from the general population attending the Minnesota state fair 2021 and 2022. Demographic information included age (in years), gender, race/ethnicity, and facial hair (yes/no and type). Each participant also performed quantitative fit testing of N95 respirators (3M Aura Respirator 9205+) using a TSI PortaCount Pro+ model 8038. Fit testing was conducted according to the quantitative OSHA 29 CFR 1910.134 standard protocol with a criterion of ≥100 for pass level fit factor. This study aimed to investigate the performance of the general population passing quantitative fit tests for one type of N95 respirator (3M Aura Respirator 9205+) and consider the role of gender, age, race/ethnicity, and facial hair in the fit testing pass rate. -------------------------- SHARING/ACCESS INFORMATION -------------------------- 1. Licenses/restrictions placed on the data: CC0 1.0 Universal (http://creativecommons.org/publicdomain/zero/1.0/) 2. Links to publications that cite or use the data: N95 filtering facepiece respirator fit test performance for the general population by gender, age, race, and facial hair 3. Was data derived from another source? If yes, list source(s): 4. Terms of Use: Data Repository for the U of Minnesota (DRUM) By using these files, users agree to the Terms of Use. https://conservancy.umn.edu/pages/policies/#drum-terms-of-use --------------------- DATA & FILE OVERVIEW --------------------- Filename: N95_Respiratory_Fit_Test_Data.csv Short description: N95 filtering facepiece respirator fit test performance for the general population attending Minnesota State Fair 2021 and 2022 2. Relationship between files: NA -------------------------- METHODOLOGICAL INFORMATION -------------------------- 1. Description of methods used for collection/generation of data: Demographic Questionnaire Quantitative fit test using TSI PortaCount Pro+ model 8038 condensation particle counter and based on OSHA 29 CFR 1910.134 standard protocol 2. Methods for processing the data: 3. Instrument- or software-specific information needed to interpret the data: 4. Standards and calibration information, if appropriate: 5. Environmental/experimental conditions: 6. Describe any quality-assurance procedures performed on the data: 7. People involved with sample collection, processing, analysis and/or submission: Samle collection: MBH, MY, LG, WD and SA Processing: MBH, MY, LG, WD and SA Analysis: MBH and AP Submission: SA ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: N95_Respiratory_Fit_Test_Data.csv ----------------------------------------- rows: 384 cols: 7 A. Name: Year.1.2021.2.2022. Description: The year the data was collected, either 2021 or 2022. B. Name: Age Description: The age of participants at the time of the respirator fit test, recorded in years. C. Name: Gender.1.male.2.female.5.non.binary. Description: The gender of participants at the time of the respirator fit test, recorded as 1) male, 2) female, or 3) non-binary. D. Name: FacialHair.1.malewithfacialhair.2.malenofacial.3.female.4.Non.binary. Description: The facial hair status of participants at the time of the respirator fit test, recorded as 1) male with facial hair, 2) male without facial hair, 3) female, or 4) non-binary. E. Name: Facialhairdetailed.1.No.2.Goatee.3.Stubble.4.Mustache.5.Fullbeard. Description: The type of facial hair participants had during the respirator fit test, recorded as 1) no facial hair, 2) goatee, 3) stubble, 4) mustache, or 5) full beard F. Name: Ethnicity Description: The race or ethnicity of participants at the time of the respirator fit test, recorded as white, Black or African American, Asian, American Indian or Alaska Native, Hispanic or Latino, or other G. Name: N95Talking Description: The participants' fit test score for the talking portion of the N95 respirator fit test, recorded as a continuous variable.