Literature DB >> 30677057

Quality of life of adult vitiligo patients using camouflage: A survey in a Chinese vitiligo community.

Dian Chen1, HsiaoHan Tuan1, Eray Yihui Zhou1, DeHua Liu1, Yi Zhao1.   

Abstract

BACKGROUND: Vitiligo is an acquired depigmented skin disease resulting in white macules, which may significantly impair the quality of life (QoL) of the patients.
OBJECTIVE: To estimate the QoL in Chinese vitiligo patients using camouflage with a more detailed description, and to identify the possible risk factors related to poor QoL.
METHODS: An online survey was conducted in vitiligo patients using camouflage from a vitiligo community. Survey questions included demographic, clinical information, dermatology- and vitiligo-specific QoL questionnaires. Multivariate logistic analysis was performed to identify risk factors that related to poor QoL.
RESULTS: In total, 884 respondents were included in the analyses, of which 413 (46.7%) were male. The score of DLQI was 5.83±5.75 (mean± SD). Age, gender, marriage status, occupational status, anogenital involvement, patient-perceived severity (presented by VAS score), symptoms as itching, pain, sunburn and koebner phenomenon, total cost of treatment and degree of satisfaction in camouflage therapy were independently associated with DLQI score (p<0.05).
CONCLUSION: Vitiligo has considerable impact on QoL of affected patients in Chinese population even when they were using camouflage. Camouflage might be helpful to improve QoL of the patients.

Entities:  

Mesh:

Year:  2019        PMID: 30677057      PMCID: PMC6345473          DOI: 10.1371/journal.pone.0210581

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Vitiligo is an acquired chronic depigmenting disorder of the skin, predominantly asymptomatic, manifested by circumscribed depigmented macules and patches due to the disappearance of melanocytes from the epidermis. Vitiligo was recognized in ancient times and is still confused with leprosy in some countries[1]. Numerous studies have revealed that vitiligo has a major effect on the patients’ quality of life (QoL) and negatively affects sexual relations[2]. Cosmetic camouflage is an alternative and complementary option to the traditional standard treatment options, since the effectiveness of the latter are often disappointing with only partial results, and the treatment may last for months or years, before re-pigmentation occur. Preliminary studies have reported that camouflage for patients with vitiligo could improve their quality of life[3,4]. However, all these studies were conducted in small populations, therefore this effect remains to be observed in a larger population. Furthermore, the effect of camouflage on QoL can be significantly influenced by social-psychological factors but has not been studied in Chinese population. We conducted this study to determine the dermatology-specific QoL in a group of adult vitiligo patients using camouflage in a large Chinese vitiligo community, especially to identify the possible risk factors for poor QoL. We also used a vitiligo-specific QoL questionnaire to illustrate the vitiligo-specific QoL aspects that haven’t been covered by DLQI.

Methods

An online survey was conducted from September to December 2016 to assess QoL of adult vitiligo patients using camouflage, and to identify risk factors that related to poor QoL.

Recruitment

An online questionnaire was formulated and sent to 8602 consecutive adult patients (age ≥18 years) with vitiligo, in WeChat groups and QQ groups of a vitiligo community, “Leukoplakia Common Home”. Before taking the survey, participants had to sign the online consent form first. Patients who had been using camouflage for more than 1 month were invited. Patients who were younger than 18 years, and who had not been diagnosed by dermatologists were excluded from the study. Information that could identify individual participants was not collected. The study protocol was approved by the ethics committee of Beijing Tsinghua Changgung Hospital.

Measures

Demographic and clinical Information

Demographic and clinical information was collected including gender, age, residential location, marital status, fertility status, educational level, employment status, income, duration of the disease, localizations of vitiligo (e.g. face, neck, scalp, upper arms, forearms, hands, thighs, legs, feet, chest, upper back, waist, axillae, groins, anogenital area), percentage of body surface area (BSA) affected, symptoms, duration of camouflage therapy, degree of satisfaction in camouflage therapy, other previous treatment, and total cost of treatment, as well as visual analogue scale (VAS) to assess the patient-perceived severity.

Quality of life

We used a dermatology-specific QoL questionnaire, Dermatology Life Quality Index (DLQI) and a vitiligo-specific QoL questionnaire, Vitiligo Impact Scale-22 (VIS-22), to assess the impact of vitiligo. The DLQI contains 10 questions related to patients’ symptoms and feelings, daily activities, leisure, work or school, personal relationships, and treatment over the previous 1 week, and each question has four possible answers scored from 0 to 3. The VIS-22 comprises 22 items covering domains of self-confidence, anxiety, depression, marriage, family worries, social interactions, school/college-related, occupation-related, treatment-related and attitude. Each question has four possible answers scored from 0 to 3. The QoL impairment could be classified into 5 levels according to the total score of DLQI. A DLQI score of 0–1 means no effect at all, 2–5 means a small effect, 6–10 moderate effect, 11–20 large effect, and 21–30 extremely large effect on patient’s life.

Statistical analysis

The data was carefully checked for consistency and plausibility to guarantee the quality of data. Normally distributed data were expressed as means±SD, whereas variables with a skewed distribution were reported as median (range). Categorical variables were represented by frequency and percentage. Univariate associations were calculated using Mann-Whitney U test or Kruskal-Wallis test with Bonferroni correction. The outcome variables were the sum score of DLQI. Independent variables were the sociodemographic and clinical characteristics. The independent variables that were univariately associated with the outcome variables (P <0.10) were entered into a stepwise multivariate logistic regression models with dichotomized DLQI (6–30 vs. 0–5) as dependent variable. A value of P < 0.05 was considered significant. All calculations were performed with the statistical package Stata 12.0 (Stata Corp., College Station, Tex.).

Results

One thousand nine hundred and twenty four patients had shown a willingness to participate in this study. Of whom 1198 completed the questionnaires. However, 314 were excluded after plausibility checking (Fig 1). Therefore, 884 respondents were included in the final analyses.
Fig 1

Flow diagram of patient enrollment, exclusion, data quality control and data analysis.

(Online completion ensured that there were no missing data in completed questionnaires).

Flow diagram of patient enrollment, exclusion, data quality control and data analysis.

(Online completion ensured that there were no missing data in completed questionnaires).

Demographic and clinical characteristics of respondents

The median age of these 884 respondents was 36 years (range 18–83); 413 (46.7%) were male. The visible body areas, such as face, scalp, neck, hands, were affected in most of the patients (n = 829, 93.8%). All but one patient had received previous treatment. The median duration of camouflage therapy was 50 months (range 1–216). The demographic and clinical characteristics were presented in Table 1.
Table 1

Demographic and clinical characteristics of the study group.

Study population (n)N = 854Percent (%)
Gender
    Male41346.7
    Female47153.3
Age, y38.88 ± 13.1036 (18–83)a
    18–2926429.9
    30–4942147.6
    50–6918320.7
    ≥ 70161.8
Marital status
    Single, without a committed relationship10111.4
    Single, in a committed relationship718.0
    Married68677.6
    Divorced192.2
    Widowed70.8
Fertility status
    No children22225.1
    Have child/children66274.9
Residential location 
    Urban75485.3
    Rural13014.7
Educational level
    Less than high school13214.9
    High school diploma or equivalent27431.0
    College graduate43749.4
    Postgraduate414.6
Employment status
    Employed66274.9
    Unemployed and Seeking Work819.2
    Students242.7
    Retire11713.2
Onset age, y23.41 ± 13.0321 (1–70)
    <2039144.2
    20–2924427.6
    30–4012714.4
    ≥ 4012213.8
Disease duration, y15.47 ± 10.3814 (0–55)
    <511913.5
    5–1015317.3
    10–2035840.5
    ≥ 2025428.7
Number of affected body sites4.87 ± 3.834 (1–15)
    Visible body areas affectedb82993.8
Localizationc
    Face56163.5
    Neck38944.0
    Scalp19422.0
    Upper arms23326.4
    Forearms24627.8
    Hands60468.3
    Thighs25228.5
    Legs25428.7
    Feet34038.5
    Chest24327.5
    Upper back20523.2
    Waist31435.5
    Axillae17019.2
    Groins13415.2
    Anogenital16318.4
Extension (%BSA)
    <1%35540.2
    1–3%20723.4
    3–10%16218.3
    >10%16018.1
Symptoms 
    Pruritus10011.3
    Pain121.4
    Sunburn21023.8
    Koebner phenomenon30033.9
    Asymptomatic45551.5
VAS score of severity4.77 ± 2.794.9 (0–10) 
Total cost of treatment
    <10,000 RMB27831.5
    10,000–50,000 RMB39845.0
    >50,000–10,000 RMB20823.5
Duration of camouflage therapy, m58.1 ± 44.350 (1–216)
Degree of satisfaction in camouflage use
    Not at all182.0
    A little23927.0
    A lot54561.7
    Very much829.3

a All quantitative data were presented as mean ± SD, median (range).

b The visible body areas were defined as face, scalp, neck, and hands.

c Multiple-choice questions with more than one answer; the sum of percentage >100%.

a All quantitative data were presented as mean ± SD, median (range). b The visible body areas were defined as face, scalp, neck, and hands. c Multiple-choice questions with more than one answer; the sum of percentage >100%.

Quality of life

The DLQI score (mean± SD) was 5.83±5.75 (range 0–30), and 228 (25.8%) patients reported DLQI scores between 0–1, which mean no effect at all; 294 (33.3%) reported small effects; 198 (22.4%), moderate effects; 164 (18.5%), large to extremely large effects. The mean± SD score for the six domains of DLQI were 1.47±1.52 for daily activities, 1.47±1.53 for leisure, 1.25±1.14 for symptoms and feelings, 0.63±1.22 for personal relationship, 0.51±0.88 for work and school, and 0.49±0.79 for treatment. The frequency of the answers to each item of the DLQI and VIS-22 were shown in Fig 2.
Fig 2

Frequency of the answers to each item of the DLQI and VIS-22 questionnaires, ordered by mean scores of each item.

Factors associated with quality of life

Univariate associations

The dermatology-specific QoL was more impaired in female patients with vitiligo, and those who were younger than 30y/o, and who live in rural areas had significantly higher scores on DLQI. The involvement of any part of the body except for face and upper arms, as well as greater percentages of BSA affected were associated with significantly higher scores of DLQI. Patients with symptoms, such as pruritus, pain, koebner phenomenon, and sunburn, had significantly higher DLQI scores compared with those without. Marriage, fertility and occupational status, as well as total cost of treatment, and the degree of satisfaction in camouflage therapy also had influences on DLQI (S1 Table).

Multivariate associations

Multivariate logistic regression analysis revealed that gender, age, marriage status, occupational status, anogenital involvement, patient-perceived severity (presented by VAS score), symptoms as itching, pain, sunburn and koebner phenomenon, total cost of treatment and degree of satisfaction in camouflage therapy were statistically independently associated with DLQI score (Table 2).
Table 2

Multivariate logistic regression to identify sociodemographic and clinical factors related to poor health-related quality of life.

DLQI
OR95% CIP
Gender (female vs. male)1.791.28~2.520.001
Age (≥30 vs. <30 y/o)0.450.30~0.66<0.001
Marriage (Single, without a committed relationship vs. married)2.381.38~4.110.002
Occupational status (Employed vs. retire)1.701.03~2.810.038
Occupational status (Unemployed and Seeking Work vs. retire)2.111.04~4.290.038
Anogenital involvement1.921.22~3.010.004
Hands involvement1.471.00~2.160.052
Itching2.541.51~4.29<0.001
Pain12.761.25~130.710.032
Sunburn2.801.90~4.13<0.001
Koebner phenomenon1.831.29~2.590.001
VAS score of severity1.201.13~1.28<0.001
Cost of treatment (≥10,000 vs. <10,000 RMB)1.481.02~2.140.037
Degree of satisfaction in camouflage use (Very much/ A lot vs. A little/ not at all)0.490.34~0.70<0.001

Abbreviations: OR, Odds ratio; CI, Confidence interval

a A poor QoL was defined as DLQI scores between 6–30. The logistic regression model fit was tested with the likelihood ratio test (P<0.0001).

Abbreviations: OR, Odds ratio; CI, Confidence interval a A poor QoL was defined as DLQI scores between 6–30. The logistic regression model fit was tested with the likelihood ratio test (P<0.0001).

Discussion

Impact of QoL of vitiligo and the assessment tools

Vitiligo is often perceived as a cosmetic disease, whereas it has a profound and permanent impact on patients’ quality of life (QoL). Numerous studies had revealed the association of stigmatization, distress, depression, anxiety, low self-esteem, social isolation and impact on sexual life with vitiligo[5,6]. DLQI is one of the most widely used dermatology-specific QoL instruments in vitiligo, and the DLQI scores reported by previous studies showed obvious geographical differences, with the highest mean DLQI score of 15.00 reported in a Turkish study[7], followed by two Arab studies (mean score 11.86) [8,9], and ten Indian studies (mean score 9.51)[10-16], while the lowest score was 1.82 in one Italian study[17,18]. Therefore, QoL of vitiligo patients is considerably variable according to different skin phototypes and cultures. However, few studies have reported the impact of vitiligo on Chinese patients’ QoL. Although preliminary studies have shown that camouflage can help improving QoL of the patients[3,4], this have never been studied in Chinese patients. This is the first study to evaluate the impact of vitiligo on Chinese patients who had been using camouflage. To obtain a more comprehensive profile of QoL, we conducted the study in a large vitiligo community using both dermatology-specific and vitiligo-specific QoL instruments. Since disease-specific instruments could be more sensitive to disease-specific issues, there were four vitiligo-specific Qol instruments had been developed in recent years, including Vitiligo-specific Quality-of-Life instrument (VitiQoL) in the U.S.[19], Vitiligo Impact Patient Scale (VIPs) in France[20], Vitiligo Life Quality Index (VLQI) in Turkey[7], and Vitiligo Impact Scale-22 (VIS-22) in India[13]; and since China and India shared many similarities in culture and belief, we chose the VIS-22 to estimate the vitiligo-specific Qol in our participants. Compared with DLQI, VIS-22 covered the attitude and anxiety about the disease, as well as family worries. Nevertheless, VIS-22 did not have any questions concerned about the symptoms and sexual life.

Impairment of QoL found in Chinese vitiligo patients

Eight hundred and eighty four vitiligo patients who had been using camouflage for more than 1 month were available for final analyses. The mean total score of DLQI was 5.83. There were more than one third of the vitiligo patients experiencing a significant impairment of QoL, as 40.9% of the patients reported a moderate to extremely large QoL impairment assessed with DLQI (score 6–30). The highest DLQI score was found in ‘daily activities’, followed by ‘leisure’ and ‘symptoms and feelings’. The high scores of VIS-22 added more detailed information of QoL in domains of attitude and anxiety about the disease, such as ‘disease incurable’, ‘worried about new lesions’, ‘the worst disease’, and ‘keep thinking about this disease’; and treatment-related burdens, such as ‘difficulties in adhering to treatment’, ‘the amount of money spent on treatment’; then ‘problems in getting married’ and the feelings of ‘embarrassment’ and ‘helpless’, while there were only small impacts on work/school life or personal relationship.

Risk factors related to QoL

The impact of vitiligo on QoL varies in patients with different clinical and demographic characteristics. In the majority of previous studies, women showed more QoL impairment than men did[18], as did young patients compared to elderly ones[10], married women with vitiligo than singles[21], and patients with involvement on exposed sites than those on unexposed sites[18,22-24]. Our results showed that female patients, patients aged less than 30 y/o, patients who were single and without a committed relationship (compared with who were married), patients who were working or seeking work (compared with who retired), patients with anogenital involvement, patients who experienced pruritus or pain, with symptoms as sunburn or koebner phenomenon, and patients who had spent more than 10,000RMB (vs. <10,000 RMB) on treatment had more impaired QoL. Intriguingly, the presence of vitiligo on visible sites, such as face, neck, scalp was not associated with a poor dermatology-specific QoL, which was inconsistent with the previous studies. Several studies showed that patients had higher scores of QoL when having lesions on visible sites[22,23,25,26]. Nevertheless, there were also several studies did not find any relationship between DLQI score and visibility of lesions[6,10,27]. In our study, since most of participants had visible sites involvement (n = 829, 93.8%), the sample size of those without visible sites involvement may be too small (n = 55, 6.2%) to reach statistical significance. Meanwhile, all of our participants had been using camouflage for more than 1 month. QoL has been shown to be improved in vitiligo patients who had lesions on visible sites after use of camouflage[3,4]. Therefore, we supposed that the effectiveness of hiding the visible vitiligo lesions might have abrogated the impact on the patient’s QoL. We found that the patients with lesions on hands had poor QoL (p = 0.052). These might be explained by the fact that acral lesions of vitiligo were usually resistant to conventional treatment[28-30] as well as surgical interventions[31], and the effect of camouflage on these visible sites could not sustain for long because of frequent hand-washing.

Camouflage use and QoL in vitiligo patients

Our result showed a less QoL impairment than that reported by Wang et al.[22], who reported a mean total DLQI score of 8.40 in 101 Chinses vitiligo patients. This may be due to the difference between the target populations of these two studies, as we recruited the patients who had been using camouflage for at least one month, from the community, while in the previous study, dermatology clinic outpatients were enrolled. There were 67 patients who finished the questionnaire were excluded from our primary analysis, as they used camouflage for less than one month. The mean DLQI score of them was higher than those who had been using camouflage for at least one month (7.22±6.83vs. 5.83±5.75), although the differences between the two groups did not reach statistically significance. One possible reason for the difference might be that continuous camouflage application improved the QoL of vitiligo patients who had lesions on visible sites[3,4]. As another evidence, in our multivariate analysis, the degree of satisfaction after camouflage therapy was positively correlated with QoL of the patients. Several limitations in our study should be addressed. Firstly, it was an online survey, thus the clinical characteristics such as type of vitiligo, disease activity, and vitiligo extent were unable to be assessed clinically. Secondly, there might be some non-serious respondents participated in the survey, and therefore would increase noise and reduce experimental power of the study[32]. For this reason, we performed a consistency and plausibility check to make sure most of the low-quality data sets submitted by non-serious respondents were excluded from the final analysis[32,33]. Thirdly, although China and India shared many similarities in culture and belief, we found that some items in VIS-22 may not be suitable for our patients, further modification and validation is needed. Furthermore, family history was not assessed and should be considered in future studies. Despite these limitations, our study demonstrated that vitiligo has considerable impact on QoL of affected patients in Chinese population even when they had been using camouflage for at least one month, and camouflage might be helpful to improve QoL of the patients.

Univariate associations of health-related quality of life and sociodemographic and clinical variables.

(DOC) Click here for additional data file.

Questionnaire used in this study in both Chinese and English.

(DOCX) Click here for additional data file.

STROBE Statement—checklist of items that should be included in reports of observational studies.

(DOCX) Click here for additional data file.
  31 in total

1.  Dermatology Life Quality Index score in vitiligo and its impact on the treatment outcome.

Authors:  D Parsad; R Pandhi; S Dogra; A J Kanwar; B Kumar
Journal:  Br J Dermatol       Date:  2003-02       Impact factor: 9.302

2.  Life quality assessment among patients with vitiligo: comparison of married and single patients in Iran.

Authors:  Marjan Dolatshahi; Payam Ghazi; Vida Feizy; Mohsen Rezaei Hemami
Journal:  Indian J Dermatol Venereol Leprol       Date:  2008 Nov-Dec       Impact factor: 2.545

3.  Development of a quality of life scale for vitiligo.

Authors:  Asli Şenol; Ayşe Deniz Yücelten; Pinar Ay
Journal:  Dermatology       Date:  2013-05-28       Impact factor: 5.366

4.  Acral lesions of vitiligo: why are they resistant to photochemotherapy?

Authors:  S M Esmat; A M El-Tawdy; G A Hafez; O A Zeid; D M Abdel Halim; M A Saleh; T M Leheta; M Elmofty
Journal:  J Eur Acad Dermatol Venereol       Date:  2011-08-18       Impact factor: 6.166

5.  Seriousness checks are useful to improve data validity in online research.

Authors:  Frederik Aust; Birk Diedenhofen; Sebastian Ullrich; Jochen Musch
Journal:  Behav Res Methods       Date:  2013-06

6.  Camouflage for patients with vitiligo vulgaris improved their quality of life.

Authors:  Miki Tanioka; Yosuke Yamamoto; Mayumi Kato; Yoshiki Miyachi
Journal:  J Cosmet Dermatol       Date:  2010-03       Impact factor: 2.696

7.  Quality of life and stigmatization profile in a cohort of vitiligo patients and effect of the use of camouflage.

Authors:  K Ongenae; L Dierckxsens; L Brochez; N van Geel; J M Naeyaert
Journal:  Dermatology       Date:  2005       Impact factor: 5.366

8.  Effect of vitiligo on self-reported health-related quality of life.

Authors:  K Ongenae; N Van Geel; S De Schepper; J M Naeyaert
Journal:  Br J Dermatol       Date:  2005-06       Impact factor: 9.302

9.  Measurement properties of the Vitiligo Impact Scale-22 (VIS-22), a vitiligo-specific quality-of-life instrument.

Authors:  V Gupta; V Sreenivas; M Mehta; B K Khaitan; M Ramam
Journal:  Br J Dermatol       Date:  2014-10-06       Impact factor: 9.302

10.  The Vitiligo Impact Patient Scale (VIPs): Development and Validation of a Vitiligo Burden Assessment Tool.

Authors:  Camille Salzes; Sophie Abadie; Julien Seneschal; Maxine Whitton; Jean-Marie Meurant; Thomas Jouary; Fabienne Ballanger; Franck Boralevi; Alain Taieb; Charles Taieb; Khaled Ezzedine
Journal:  J Invest Dermatol       Date:  2016-01       Impact factor: 8.551

View more
  5 in total

1.  Psychosocial Effects of Vitiligo: A Systematic Literature Review.

Authors:  Khaled Ezzedine; Viktoria Eleftheriadou; Heather Jones; Kristen Bibeau; Fiona I Kuo; Daniel Sturm; Amit G Pandya
Journal:  Am J Clin Dermatol       Date:  2021-09-23       Impact factor: 7.403

2.  Health Related Quality of Life of Rosacea Patients in China Assessed by Dermatology Life Quality Index and Willingness to Pay.

Authors:  Yaqun Huang; Sha Yan; Hongfu Xie; Ben Wang; Zhixiang Zhao; Yingxue Huang; Ji Li
Journal:  Patient Prefer Adherence       Date:  2022-03-06       Impact factor: 2.711

3.  Vitiligo prevalence and quality of life among adults in Europe, Japan and the USA.

Authors:  K Bibeau; A G Pandya; K Ezzedine; H Jones; J Gao; A Lindley; J E Harris
Journal:  J Eur Acad Dermatol Venereol       Date:  2022-06-14       Impact factor: 9.228

Review 4.  Clinical Features, Immunopathogenesis, and Therapeutic Strategies in Vitiligo.

Authors:  Yinghan Wang; Shuli Li; Chunying Li
Journal:  Clin Rev Allergy Immunol       Date:  2021-07-20       Impact factor: 8.667

5.  Vitiligo and anxiety: A systematic review and meta-analysis.

Authors:  Assiya Kussainova; Laura Kassym; Almira Akhmetova; Natalya Glushkova; Ulugbek Sabirov; Saltanat Adilgozhina; Raikhan Tuleutayeva; Yuliya Semenova
Journal:  PLoS One       Date:  2020-11-10       Impact factor: 3.240

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.