Page 37 - JCBP-1-1

Journal of Clinical and
Basic Psychosomatics Quality of life in patients with atopic dermatitis

impact [16,17] and (ii) Hospital Anxiety and Depression Scale 3.3. Analysis of factors influencing depression in AD
(HADS) was used to identify the likelihood of anxiety and patients
depression in patients in non-psychiatric hospital clinics HADS-D was divided into a little suspected depression group
and was divided into the Anxiety subscale (HADS-A) (score ≤10) and an abnormal depression group (score ≥11)
and the Depression subscale (HADS-D), both of which according to the severity, and there were no statistical
contained seven mixed items, with a minimum score of 0 differences in the overall means of the groups in terms of
and a maximum score of 21. The scores were categorized gender, age, education level, employment status, working
as follows: 0 – 7 for asymptomatic, 8 – 10 for suspected environment, work nature, and atopic comorbidities
anxiety or depression, and 11 – 21 for definite anxiety or (P > 0.05). The likelihood of depression for those with
depression [17-19] . middle school education or below was 9.374 times higher

2.2. Statistical method than those with graduate education or above (95% CI, 1.246
– 86.398); thus, middle school education or below was a
SPSS 26.0 was used to make descriptive statistics on the risk factor for depression. The likelihood of depression for
scores of DLQI and HADS. Fisher’s exact test was used to those in outdoor working environments was 20.945 times
compare the scores of different groups. Logistic regression higher than those in both indoor and outdoor working
was used to analyze the influencing factors of QOL, environments (95% CI, 1.298 – 270.948) (Table 4).
anxiety, and depression. Spearman’s rank-order correlation
was used to analyze the correlation among QOL, anxiety, 3.4. Correlation analysis of QOL in dermatology,
and depression. Select bilateral α = 0.05 for the inspection hospital anxiety, and depression scale
level and correct α = 0.05/n according to the comparison Spearman’s rank-order correlation analysis of the degree of
times by pairwise comparison. impact on QOL, anxiety, and depression in AD patients
showed that the three were positively correlated, as shown
3. Results in Table 5.
3.1. Analysis of factors influencing the DLQI
4. Discussion
There were 106 valid responses obtained. Demographic
characteristics are shown in Table 1. According to the There is no definite conclusion about the influencing
degree of influence, the DLQI scores were divided into a no factors of QOL for AD patients. Our research shows that
or little influence group (score ≤5) and a certain influence the factors influencing QOL in AD patients are not related
group (score ≥6). There were no statistical differences in to demographic and medical characteristics (such as age,
the overall average of the groups in terms of gender, age, sex, and atopic comorbidities), consistent with previous
[20-26]
education level, employment status, working environment, studies . Unfortunately, we could not include the
work nature, and atopic comorbidities (P > 0.05). The relevant grading of disease severity. Still, our findings added
[22]
main factors affecting the QOL had nothing to do with to the AD QOL knowledge in the Asian populations .
demographic characteristics or medical factors (such as The severity of the disease is the main influencing factor
gender, age, education level, employment status, working of the QOL of AD patients in the Asian population. The
environment, work nature, and atopic comorbidities. affected degree of the QOL is not affected by demographic
Table 2). characteristics or medical factors but is related to some
personality characteristics (free floating anxiety disorder,
3.2. Analysis of factors influencing anxiety in AD compulsion, somatization, and depression) . There
[22]
patients are statements that QOL may be affected by personality,
The HADS-A scores were divided into no or suspected education level, employment status, financial and social
[20]
anxiety (score ≤10) and abnormal anxiety groups situation, and medical issues . However, our research
(score ≥11) according to severity, and there were no results show that the education level and working
statistical differences in the overall means of the groups conditions are not the main influencing factors of QOL,
in terms of gender, age, education level, employment which may include the local education system, government
status, working environment, work nature, and atopic welfare policies, and others.
comorbidities (P > 0.05). The main influences on anxiety Moreover, there are significant differences among
were not related to demographic or medical factors countries and regions. The findings vary across different
(such as gender, age, education level, employment regions regarding the mean DLQI scores of AD patients.
status, working environment, work nature, and atopic The average DLQI score of a previous study was 6.73 ,
[27]
comorbidities. Table 3). the average DLQI score of a more recent study was 10.3 ,
[28]
Volume 1 Issue 1 (2023) 3 https://doi.org/10.36922/jcbp.0956