Prevalent skin and dermatoses care in older adults treated at a private clinic and its relationship with comorbidities
Abstract Objectives : To identify and assess the prevalence of skin changes in the older adults surveyed, as well as to detect skin phototype according to the Fitzpatrick classification and to assess whether there was an association between the changes identified and predisposing factors (smoking, diabetes mellitus and hypertension). Additionally, evaluate the level of knowledge of the subjects regarding skin care. Method : A cross-sectional study was conducted in April to August 2018, based on a convenience sample of 80 older adults attending a private clinic. A questionnaire was applied among the subjects to identify their skin care and an answer sheet was completed by the researcher with information about the physical examination of the skin. Data were analyzed by the chi square or Fisher’s exact method. Poisson regression was used to determine the independent effect of the exploratory variables on the response variable. Results : The sampled population had a low level of education and was low-income and did not take proper care of their skin, while 70% were skin phototype 4. Most (73%) were aware of what skin cancer is and a significant portion 50% did not use sunscreen or moisturizer. There was no significant difference between the sexes (p>0.05). About half of the older adults reported having been instructed about skin care. Seventy two percent knew about the dangers of sun exposure. The most common skin alteration was melanosis and an association was found between diabetes and keratosis. Conclusions : The study population was low income, with a low level of education. They were exposed to the sun and did not make proper use of sunscreen or moisturizers, but sought health information from their doctor and knew what skin cancer was.
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Format: | Digital revista |
Language: | English |
Published: |
Universidade do Estado do Rio Janeiro
2019
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Online Access: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1809-98232019000600207 |
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