Application Of High-frequency Ultrasound To Assess
Facial Skin Thickness In Association With Gender, Age, And BMI In Healthy Adults
Abstract
This study investigates the application of high-frequency ultrasound to
assess facial skin thickness in relation to gender, age,
and body mass index (BMI) in healthy adults. The primary aim was to determine whether these factors influence epidermis and dermis thickness measurements.
Using a structured approach, we analyzed the correlation between facial skin thickness and demographic variables
to provide insights into potential biomarkers of tissue aging
or fat distribution.
Background and objective
Facial skin thickness is an important indicator of skin health and
may be influenced by various factors, including age,
gender, and BMI. High-frequency ultrasound (HFU) has
been shown to effectively measure soft tissue depths,
making it a valuable tool for assessing facial skin thickness.
This study aims to explore the relationship between HFU-derived measurements of epidermis and
dermis thickness and demographic variables in healthy adults.
Methods
The study employed a cross-sectional design to evaluate facial skin thickness in 100 healthy adults aged 18–65 years.
Inclusion criteria included no history of skin disease or
surgery, while exclusion criteria excluded pregnancy and BMI 0.90.
Ultrasound measurements revealed mean epidermis thickness of 1.2 mm (SD = 0.15) and dermis thickness of
1.8 mm (SD = 0.20). Correlation analysis showed significant positive relationships between dermis thickness and age
(r=0.45, p0.90. Ultrasound-derived thickness showed significant positive
correlations between dermis and age (r=0.45, p0.90.
Ultrasound measurements of epidermis and dermis thickness
Mean epidermis thickness = 1.2 mm (SD=0.15), mean dermis thickness = 1.8 mm (SD=0.20).
Correlation of epidermis and dermis thickness with age and BMI
Dermis thickness showed significant positive correlation with
age (r=0.45, p0.90. Ultrasound-derived thickness showed
significant positive correlations between dermis and age
(r=0.45, pIsis)
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Application Of High-frequency Ultrasound To Assess
Facial Skin Thickness In Association With Gender, Age, And BMI In Healthy Adults
Abstract
This study investigates the application of high-frequency ultrasound to
assess facial skin thickness in relation to gender, age,
and body mass index (BMI) in healthy adults. The primary aim was to determine whether these factors influence epidermis and dermis thickness measurements.
Using a structured approach, we analyzed the correlation between facial skin thickness and demographic variables
to provide insights into potential biomarkers of tissue aging
or fat distribution.
Background and objective
Facial skin thickness is an important indicator of skin health and
may be influenced by various factors, including age,
gender, and BMI. High-frequency ultrasound (HFU) has
been shown to effectively measure soft tissue depths,
making it a valuable tool for assessing facial skin thickness.
This study aims to explore the relationship between HFU-derived measurements of epidermis and
dermis thickness and demographic variables in healthy adults.
Methods
The study employed a cross-sectional design to evaluate facial skin thickness in 100 healthy adults aged 18–65 years.
Inclusion criteria included no history of skin disease or
surgery, while exclusion criteria excluded pregnancy and BMI 0.90.
Ultrasound measurements revealed mean epidermis thickness of 1.2 mm (SD = 0.15) and dermis thickness of
1.8 mm (SD = 0.20). Correlation analysis showed significant positive relationships between dermis thickness and age
(r=0.45, p0.90. Ultrasound-derived thickness showed significant positive
correlations between dermis and age (r=0.45, p0.90.
Ultrasound measurements of epidermis and dermis thickness
Mean epidermis thickness = 1.2 mm (SD=0.15), mean dermis thickness = 1.8 mm (SD=0.20).
Correlation of epidermis and dermis thickness with age and BMI
Dermis thickness showed significant positive correlation with
age (r=0.45, p0.90. Ultrasound-derived thickness showed
significant positive correlations between dermis and age
(r=0.45, pIsis)