IMPACT
OF GENDER DIFFERENCES AND BODY MASS
INDEX ON SKIN BIOPHYSICAL PARAMETERS OF CORONAVIRUS PATIENTS
Dindar
S. Bari1,2, Jalal M. Salih3, Haval Y. Yacoob Aldosky3,
and Ørjan G. Martinsen4,5
Dindar.Bari@uoz.edu.krd
1Scientific
Research Center, University of Zakho, Zakho, Kurdistan region, Iraq
2Department
of Physics, College of Science, University of Zakho, Zakho, Kurdistan region,
Iraq
3Department
of Physics, College of Science, University of Duhok, Duhok, Kurdistan region,
Iraq
4Department
of Clinical and Biomedical Engineering, Oslo University Hospital, 0424 Oslo,
Norway
5Department
of Physics, University of Oslo, Sem Sælands vei 24, 0371 Oslo, Norway
Received:
23 Apr., 2024 / Accepted: 9 July., 2024 / Published: 30 July., 2024. https://doi.org/10.25271/sjuoz.2024.12.3.1306
ABSTRACT:
Once the pandemic started, there were no clues regarding overall
COVID-19 infections. There are no studies that demonstrate the effects of
COVID-19 on skin surface pH, moisture, sebum, and temperature in terms of
gender differences and body mass index (BMI) among infected people. The goal of
this study was to investigate some of the skin biophysical scores of patients
infected with COVID-19 and evaluate the impact of gender differences and the
body mass index on them. Skin surface sebum, pH, temperature, and hydration
(moisture), were measured in 30 COVID-19 patients using employing non-invasive
portable devices. Insignificant effects of gender differences and BMI on skin
biophysical properties were observed. In addition, females showed higher skin
biophysical characteristics than males. Moreover, obese patients had higher
skin biophysical parameter values than normal-weight patients. However, all the
study results were statistically insignificant (p > 0.05). Further investigations
are required to recognize other skin biophysical parameters such as transepidermal water loss and elasticity that may aid in the
early identification of skin damage in COVID-19 patients.
KEYWORDS: Body mass index, COVID-19, coronavirus,
gender, patients, skin moisture
1.
INTRODUCTION
The skin as the largest organ of the
human body consists of a set of complex layers that provide protection and
sensory functions. The skin performs some vital functions in the human body by protecting
it from external harms such as pathogens, chemical and mechanical impacts, and
temperature. Moreover, the skin carries sorts of receptors that produce
afferent information associated to temperature, pain, and touch.
The skin biophysical properties, namely
sebum (oil) content, skin moisture, pH, and temperature can be used to indicate
skin condition. For instance, lower sebum content, moisture (Firooz et al., 2007) and higher
skin pH (Rippke et al., 2004) are related to
atopic dermatitis. On the other hand, increased sebum content (Choi et al., 2013) and skin pH (Prakash et al., 2017) are associated
with acne. Moreover, reduced skin hydration is found in patients with various
types of diabetes (Sekijima et al., 2018; Horikawa et al., 2021). Additionally,
it is shown that obesity alters skin hydration (Ye et al., 2022). Therefore,
the skin's biophysical properties might be helpful in the management of skin
diseases with a proper approach.
The biophysical characteristics of the
skin might also be related or influenced by some other parameters such as body
mass index (BMI), gender differences, age, and lifestyle. Zhao et al. (2021), observed
that the biophysical properties of the skin are influenced by gender, age, and
unhealthy lifestyles. In contrast, studies by Jacobi et al. (2005), Kim et al. (2006),
Man et al. (2009), and Luebberding et al. (2013)
observed higher pH values in females than males. Additionally, Kim et al.
(2006) found significant gender differences in skin sebum content.
The effects of BMI on skin biophysical
parameters have been investigated. Rodrigues et al. (2017), reported that skin
moisture was higher for overweight and obese individuals than normal-weight
individuals. Yosipovitch et al. (2007) observed that
higher skin pH is associated with individuals who are obese.
Since the outbreak of the deadly
coronavirus 2019 (COVID-19) epidemic, as far as we know, none of the studies
have been focused on the relationship between the impact of BMI and skin
biophysical parameters. In this study, the authors
aimed to assess the effects of BMI and gender differences on the skin (epidermis
layer) biophysical scores of coronaviruses 2019 patients.
2.
MATERIALS
AND METHODS
30 COVID-19 patients (14 males and 16
females with an age range between 27 and 90 years (average 64 years) participated in this study. The
protocol of the study was approved by the directory of the COVID-19 hospital in the Duhok Governorate as
well as the Ethics Committee at the University of Duhok. Written consent forms
were obtained from all patients before data was collected. All the study
measurements were done at the COVID-19 hospital in the Duhok Governorate under standard environmental
conditions (relative humidity = 40-60% and temperature = 20-23°C).
Skin sebum, temperature, moisture, and
pH were measured from patients
infected with COVID-19. It
is important to note that patients with severe cases were not targeted in the
present investigation. All preventive measures related to COVID-19 were applied throughout the recordings.
2.2 Instrumentation
Skin surface sebum, moisture,
temperature, and pH were measured usingthree different
portable devices. A digital moisture sensor (SK-IV, Riuty-
China) was used to record skin sebum and moisture. This sensor operates based
on the latest technology of bioelectric impedance analysis and can record skin
moisture in the range of 0 to 99.9%. The skin temperature was recorded using an
infrared thermometer instrument (EFT-162-China). Finally, skin pH (SK-IV, Riuty- China) was monitored using a pH meter which has an
accuracy of ±0.1pH, employing a high precision probe, and corrosion resistance.
2.3 Statistical Analysis
The Mann-Whitney U test, as an ordinal statistical
test was employed for the purpose of comparison between two independent samples
(male and female) for all skin physiological characteristics. Differences among
patients concerning BMI for all parameters were analyzed using the one-way
repeated measures analysis of variance (ANOVA) and multiple pairwise
comparisons using Sidak correction. IBM SPSS Statistics was used to perform the
statistical analyses.
3.
RESULTS
3.1 Effects of Gender on Skin
Biophysical Parameters
Skin moisture data for over 30 patients
with respect to gender are shown in Figure 1A. Even though females have a larger
median skin moisture value than males, the observed findings were statistically
insignificant (p > 0.05). On the other hand,
the data for skin sebum are shown in Figure 1B for all 30 coronavirus patients
from both groups. The skin sebum of females is higher than that of males.
However, Mann-Whitney U analysis indicated that this difference was
insignificant (p > 0.05).
Furthermore, the data
for skin pH with respect to gender are presented in Figure 1C. The data reveal
that the median value of skin pH in females is higher than that of males;
however, this finding was not significant (p > 0.05).
Results for the skin
temperature are presented in Figure 1D. Inspection of the figure shows that
females had a higher skin temperature than males; however, these findings were
not significant (p > 0.05).
Figure 1: The box plot shows (A) skin
moisture, (B) skin sebum, (C) skin pH, and (D) skin temperature of coronavirus
patients (n=30) regarding gender
3.2 Effects of BMI on Skin
Biophysical Parameters
Figure 2A
shows variations in median values of skin moisture across the three groups
(normal, overweight, and obese) based on their BMI for 30 coronavirus patients.
In addition, skin moisture is higher for the obese group compared to other
groups. However, when data on skin moisture were statistically analyzed, an insignificant
(p > 0.05) difference among the groups was found as revealed by ANOVA
analysis.
The findings for skin sebum across the different patient
groups are shown in Figure 2B. Skin sebum was reduced for both overweight and
obese patients compared to the normal group. However, once ANOVA was carried
out, an insignificant (p > 0.05) difference among the three groups
was observed. The error bars shown in Figure 2B represent the minimum and
maximum of skin sebum obtained from overweight patients. The error is not due
to uncertainty in the recorded data but it is rather due to individual
differences as the skin sebum data were gathered from a diverse group of patients.
Figure 2: The box plot shows (A) the skin
moisture, and (B) the skin sebum of the three groups concerning BMI (normal,
overweight, and obese).
Skin pH also changed across different patient groups, as seen in Figure
3. Moreover, skin pH was higher for
overweight and obese patients compared to the normal group. However, these variations
were insignificant (p > 0.05).
Based on Figure 3B, the skin temperature
increased with increasing BMI of overweight and obese patients. However, ANOVA
analysis showed that the obtained findings were statistically insignificant (p>0.05).
Figure 3: The
box plot shows (A) the skin pH, and (B) the skin temperature of the three
groups concerning BMI (normal, overweight, and obese).
4.
DISCUSSION
In
this work, the impacts of BMI and gender-related differences on the epidermal biophysical properties of
coronavirus patients were investigated. Although the effects of both BMI and
gender were observed, the results were statistically insignificant.
Regarding gender, higher median skin
moisture was observed in females than in males. These results are in agreement
with Firooz et al. (2012), Luebberding et al. (2013),
and Zhao et al. (2021), who also found that skin hydration (moisture) was
higher in female subjects.
Females also on average showed higher
skin sebum than males, but this difference insignificant. In some studies, such
as Wilhelm et al. (1991) and Mehta et al. (2018),
no changes in sebum content between men and women was observed, while some
other studies Kim et al. (2013), Man et al., (2009), and Firooz et
al. (2012)
reported higher sebum production in males. These conflicting findings could be
due to differences in sample size and whether the participants were healthy or
not as in our study unhealthy (coronavirus patients) were enrolled. Generally,
gender differences in skin sebum are attributed with differences in the hormones
of males and females (Rahrovan et al., 2018).
Gender differences were also observed in
skin pH and temperature. Females showed a higher skin pH than males. These
findings were also supported by Zhao et al. (2021), Man et al. (2009), Jacobi
et al. (2005), Luebberding et al. (2013), and Kim et
al. (2006). Such difference in pH between women and men might be due to differences
in hormonal status (Jacobi et al., 2005), and also
biochemical differences (Luebberding et al., 2013). In this study, female coronavirus patients also showed
higher skin temperature than male patients. Such differences between the both
genders could be due to the biological differences between males and females.
Overall, the underlying mechanisms
leading to the differences in the epidermal biophysical properties of men and
women are still unclear and need further investigations in future studies.
Likewise, the effects of BMI on skin
biophysical parameters were also observed, but were insignificant. Skin
moisture increased with BMI, with obese patients showing higher skin moisture
than normal-weight patients. These findings agree with the findings of Rodrigues
et al. (2017), who also observed same results.
Skin sebum decreased in overweight and obese patients (Figure 2B). On
the other hand, the skin pH and temperature increased with increased BMI, but the
differences were statistically non-significant. Yosipovitch
et al. (2013) and Yosipovitch et al. (2007) also reported that the skin pH is
higher in individuals who are obese. This could be due to many sweat glands,
mainly apocrine, and because skin humidity elevates skin surface pH (Yosipovitch et al., 1993).
CONCLUSIONS
The biophysical characteristics of the
skin, such as sebum, moisture, temperature, and pH, were slightly higher in
females compared to males, but the difference was not statistically
significant. Similarly, these parameters showed insignificant changes with
increasing BMI, associated with obesity. While this study did not find
significant alterations in COVID-19 patients' skin properties, further research
is necessary to explore additional biophysical parameters like transepidermal water loss (TEWL) and elasticity for early
detection of skin damage in COVID-19 patients.
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