We will conduct a cross-sectional survey from adults 18 years of age and older to examine consumer knowledge, attitudes and behavior towards aging skin.
We will perform a cross-sectional survey study to understand the significance of age-related skin changes to consumers. We will recruit participants through ResearchMatch (a national free and secure online tool) and collect the following data: Demographic information, including age, gender, race/ethnicity, geographic location, and yearly household income * How do participants feel towards their own skin and age-related skin changes? * Which aging-related skin changes are the most significant? * What factors affect how participants feel towards their skin? * What role do age-related skin changes play in other aspects of the participants' lives, such as their social and work life? * What treatments are participants currently seeking, and what are their goals for these treatments? * How much do they prioritize these treatments? * What else are they hoping to do? Using the demographic information, we will also analyze whether there are differences with: * Age * Gender identity * Racial/ethnic identity * Marital status * Geographic location * Yearly household income
Study Type
OBSERVATIONAL
Enrollment
1,434
Northwestern University Fienberg School of Medicine Department of Dermatology
Chicago, Illinois, United States
Frequency (percentage) of participants with aging-related skin concerns
to determine the frequency of participants who indicate having aging-related skin concerns
Time frame: 2 months
Frequency (percentage) of participants with social and work life impact of age-related skin changes
To determine the frequency of participants who indicate age-related skin changes impact their social and work life
Time frame: 2 months
Measure (count) the type of treatments participants are currently seeking for aging skin concerns
To summarize the number of participants who would prioritize certain treatments for aging skin concerns
Time frame: 2 months
Summarize (mean/standard deviations) demographic information
Demographic information, including age, gender, race/ethnicity, geographic location, marital status and yearly household income will be summarize with means and standard deviations.
Time frame: 2 months
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