Hair care practices in diverse populations: what makes the difference?
This study examines whether sociodemographic factors and/or hair attributes are better predictors of hair wash frequency. A total of 96 patients were recruited from the general dermatology outpatient clinic to complete an 18-item questionnaire by self-report. Three linear regression models were constructed and compared to determine whether sociodemographic factors, hair wash frequency, or a combination of the two would best predict wash frequency. Results showed that sociodemographic factors, specifically race, sex, and age group, are all better predictors of hair wash frequency than hair attributes such as hair type, texture, length, and scalp type (adjusted R2 = 0.59 vs 0.27, respectively).
Saint Louis University School of Medicine, Department of Dermatology, 1402 South Grand Boulevard, St. Louis, MO 63104, USA. jchappe1@slu.edu
Jeaneen
J
Chappell
Eric
E
Armbrecht
Sara
S
Jensen
D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D005260:Female; D006197:Hair / Q000502:physiology*; D006801:Humans; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D044469:Racial Groups / Q000706:statistics & numerical data*; D012737:Sex Factors; D011795:Surveys and Questionnaires; D013997:Time Factors; D055815:Young Adult