Subjective response to respirator type: effect of disease status and gender. 2010

Philip Harber, and Silverio Santiago, and Samantha Wu, and Siddharth Bansal, and Yihang Liu, and David Yun
Occupational and Environmental Medicine, UCLA, 10880 Wilshire, #1800, Los Angeles, CA 90024, USA. pharber@mednet.ucla.edu

OBJECTIVE To assess the effect of respirator type and user characteristics (eg, health status) on the subjective response to respirator use. METHODS The subjective responses for multiple domains were evaluated in 104 volunteers performing work tasks in a simulated work environment. Each used a dual cartridge half face mask and a filtering facepiece (N95) respirator. The study population was recruited to include four groups (normal respiratory status, mild asthma, chronic obstructive pulmonary disease, or chronic rhinitis). Mixed model regression analyses determined the effects of respirator type, disease, gender, and age. RESULTS Half face mask produced more adverse subjective response than the N95 for most scales. There were significant interactions such that disease status modified the effect of respirator type. In general, women reported greater adverse ratings than did men. CONCLUSIONS The effect of respirator type depends on disease status. Respirator design evaluation panels should include persons with mild respiratory disease.

UI MeSH Term Description Entries
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D012134 Respiratory Protective Devices Respirators to protect individuals from breathing air contaminated with harmful dusts, fogs, fumes, mists, gases, smokes, sprays, or vapors. Gas Masks,Respirators, Air-Purifying,Respirators, Industrial,Industrial Respirators,Air-Purifying Respirator,Air-Purifying Respirators,Device, Respiratory Protective,Devices, Respiratory Protective,Gas Mask,Industrial Respirator,Mask, Gas,Masks, Gas,Protective Device, Respiratory,Protective Devices, Respiratory,Respirator, Air-Purifying,Respirator, Industrial,Respirators, Air Purifying,Respiratory Protective Device
D003258 Consumer Behavior Behavior associated with the procurement of goods, services, or experiences. Consumer Preference,Consumer Satisfaction,Behavior, Consumer,Behaviors, Consumer,Consumer Behaviors,Consumer Preferences,Preference, Consumer,Preferences, Consumer,Satisfaction, Consumer
D005260 Female Females
D006304 Health Status The level of health of the individual, group, or population as subjectively assessed by the individual or by more objective measures. General Health,General Health Level,General Health Status,Level of Health,Overall Health,Overall Health Status,General Health Levels,Health Level,Health Level, General,Health Levels,Health Status, General,Health Status, Overall,Health, General,Health, Overall,Level, General Health,Levels, General Health,Status, General Health,Status, Health,Status, Overall Health
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000328 Adult A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available. Adults
D000367 Age Factors Age as a constituent element or influence contributing to the production of a result. It may be applicable to the cause or the effect of a circumstance. It is used with human or animal concepts but should be differentiated from AGING, a physiological process, and TIME FACTORS which refers only to the passage of time. Age Reporting,Age Factor,Factor, Age,Factors, Age

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