Competing Interests: Lixia Ge, Chun Wei Yap and Bee Hoon Heng work for National Healthcare Group Pte Ltd. The rest of the authors have no conflict of interest to declare. This does not alter our adherence to PLOS ONE policies on sharing data and materials.
‡ Co-first authors.
While it is well established that skin disease places significant psychosocial burden on a patient’s wellbeing, its effects have rarely been examined in Asian populations.
Evaluate the psychosocial burden of skin disease among community-dwelling adults in Singapore.
This cross-sectional study included 1510 participants interviewed on their history of thirteen skin diseases. The Patient Health Questionnaire (PHQ-9), Lubben Social Network Scale-6 (LSNS-6), University of California Los Angeles (UCLA) Loneliness Scale, and European Quality of Life-5 Dimensions- 5 Level (EQ-5D-5L) were used as measures for depressive symptoms, social isolation, loneliness and quality of life respectively. Multiple linear regression analysis was used to examine the association of skin diseases with each of the four measured outcomes.
Participants with skin diseases reported significantly higher PHQ-9 and UCLA Loneliness scale scores, and lower LSNS-6 and EQ-5D-5L scores when compared to their healthy counterparts. The presence of skin disease was positively associated with depressive symptoms (B = 0.40, SE = 0.11), and negatively associated with quality of life (B = -0.03, SE = 0.01). As disease severity was not evaluated in this study, we were unable to ascertain the associations between disease severity and measured outcomes.
Participants with skin diseases were more likely to have depressive symptoms, social isolation, loneliness and lower quality of life. Unemployed, single and elderly patients were at higher risk of developing depressive symptoms. More emphasis should be placed on the psychosocial aspect of care to reduce the burden of skin disease. Some considerations include monitoring patients for mood-related changes and implementing early psychosocial interventions.
Skin disease contributes 1.79% to the global burden of disease and is the fourth leading cause of non-fatal disease burden [1]. Its socioeconomic implications are well established, with healthcare costs incurred from skin diseases amounting to $75 billion in United States of America [1]. While dermatologists have sought different ways to optimise patient care and reduce the burden of skin disease, the psychosocial aspect of management remains largely overlooked. This is despite the fact that studies have shown that stress can exacerbate skin disease [2]. Patients themselves have also provided feedback that opportunities to express their psychosocial needs are lacking [3]. To optimise patient care, it is important to first understand the psychosocial impact of skin disease. While the psychosocial burden of skin disease is well reported in Western populations, its effects have rarely been examined in Asian populations. Because geographical and ethnic variation in cultural practices and coping mechanisms can augment the psychosocial burden of skin disease, contextualization of evidence is important in disease burden assessment and resource planning. Therefore, we aim to examine the psychosocial burden of skin diseases among a general multi-racial population cohort in Singapore with the intent of increasing awareness on the importance of holistic management.
This cross-sectional study included 1510 participants who took part in the first-year follow-up survey of the Population Health Survey between November 2016—February 2018. This was a longitudinal health survey on the health of a representative sample of community-dwelling adult population living in the central region of Singapore. The details of the study methodology have been described elsewhere [4]. The eligibility criteria were as follows: (1) Singapore citizens or permanent residents aged ≥ 21 years old; (2) stayed in the selected household for ≥6 months; (3) able to answer the survey questions coherently. Written informed consent was obtained and data was collected via surveyor-administered face-to-face interviews. The ethics approval for this study was obtained from the National Healthcare Group Domain Specific Review Board (Reference Number: 2015/00269), Singapore.
The medical history of skin diseases was obtained by asking the participants a specific question: “Have you ever had any of the following skin conditions [a list of 13 skin conditions]?” This included eczema, acne vulgaris, psoriasis, vitiligo, viral warts, scabies, fungal skin infections, chronic urticaria, bacterial skin infections, chronic ulcers or wounds, skin cancers, alopecia areata, and pruritus; and participants were offered an option of “Others” to specify any other skin diseases not listed. This list was modified from the 15 categories of skin diseases included in the Global Burden of Disease Study 2010 [5]. Clinical photographs of each skin disease were used to assist the interview process.
The outcomes measured in this study were depression, social isolation, loneliness and health-related quality of life (HRQOL).
Depressive symptoms were assessed using the 9-item Patient Health Questionnaire (PHQ-9), a well validated and widely used measure of depression. Each item of PHQ-9 is assessed on a 4-point scale (0 = not at all, 1 = several days, 2 = more than half the days, 3 = nearly every day) and the total depressive symptom score for the 9 items ranges from 0 to 27. The scale demonstrated good internal consistency reliability (Cronbach’s alpha = 0.77) in this study.
Social isolation was assessed using the Lubben Social Network Scale-6 (LSNS- 6). The LSNS-6 measures the size, closeness and frequency of contacts of a participant’s social network with reference to the level of perceived support they receive from relatives and friends [6]. Each item is scored from 0 to 5, adding up to a total score ranging from 0 to 30, with lower scores indicating increased isolation. The LSNS-6 has demonstrated good internal consistency reliability with Cronbach’s alpha = 0.80 in this study.
Loneliness was assessed using the three-item University of California Los Angeles (UCLA) Loneliness Scale [7]. The three items are: “How often do you feel that you lack companionship?”, “How often do you feel left out?” and “How often do you feel isolated from others?”, using a 3-point scale (1 = hardly ever; 2 = some of the time; 3 = often). The scores for each item were added up to produce a score ranging from 3 to 9, with higher scores indicating higher loneliness levels. The internal reliability of the UCLA Loneliness Scale in this study was good, with Cronbach’s alpha = 0.88.
HRQOL was assessed using the EQ-5D descriptive system of the European Quality of Life-5 Dimensions-5 Level (EQ-5D-5L) [8]. The descriptive system comprises of five components: mobility, self-care, usual activities, pain/discomfort and anxiety/depression. Each participant can choose to answer from the following options: no problems, slight problems, moderate problems, severe problems or extreme problems. This decision corresponds to a 1-digit number that expresses the level selected for that specific component. The digits for the five components are then combined into a 5-digit number that describes the patient’s health state. The scale demonstrated good internal consistency reliability (Cronbach’s alpha = 0.78) in this study.
Independent-samples t-tests, Chi-square (χ2) tests or one-way analysis of variance (ANOVA) were used to assess group differences in socio-demographic characteristics, diagnosis of individual skin diseases, number of chronic diseases, and the measured outcomes, specifically depression, social isolation, loneliness, and HRQOL.
Multiple linear regression analysis was used to examine the association of skin diseases with each of the four measured outcomes. In each regression model, the dependent variable was one of the measured outcomes, and the independent variable was history of any listed skin diseases, adjusted for demographics including age group, gender, ethnicity, marital status, highest education level, employment status, self-reported money sufficiency and diagnosis of any chronic conditions. Descriptive statistics were analyzed using Statistical Package for Social Sciences (SPSS) version 18.0 (SPSS, Inc., Chicago, IL) and multiple linear regression was computed using Stata/SE 12 for Windows. The result was considered significant if p-value was <0.05.
The average age of the 1510 participants was 54.3 years (standard deviation 16.8 years, range 22–98 years) and 56.2% were women. The majority of participants were Chinese (78.7%), followed by Indians (10.7%) and Malays (7.8%).
The demographics of participants with and without history of any listed skin diseases were compared and described in Table 1. The distributions of age group, marital status, highest education level, employment status and self-reported money sufficiency were significantly different between participants with and without skin diseases. Participants with skin diseases were less likely to be employed, more likely to have financial constraints and alcohol misuse as compared to their healthy counterparts.

| Variable | Total (N = 1,510) | Any skin disease in the list | p-value | |
|---|---|---|---|---|
| No (n = 1,163) | Yes (n = 347) | |||
| Age group | .002 | |||
| 22–39 | 345 (22.8) | 250 (21.5) | 95 (27.4) | |
| 40–59 | 558 (37.0) | 444 (38.2) | 114 (32.9) | |
| 60–74 | 419 (27.7) | 338 (29.1) | 81 (23.3) | |
| ≥ 75 | 188 (12.5) | 131 (11.3) | 57 (16.4) | |
| Gender | .087 | |||
| Men | 662 (43.8) | 496 (42.6) | 166 (47.8) | |
| Women | 848 (56.2) | 667 (57.4) | 181 (52.2) | |
| Marital status | < .001 | |||
| Single | 331 (21.9) | 231 (19.9) | 100 (28.8) | |
| Married | 926 (61.3) | 746 (64.1) | 180 (51.9) | |
| Widowed/Divorced | 253 (16.8) | 186 (16.0) | 67 (19.3) | |
| Ethnicity | .553 | |||
| Chinese | 1189 (78.7) | 916 (78.8) | 273 (78.7) | |
| Malay | 118 (7.8) | 96 (8.3) | 22 (6.3) | |
| Indian | 162 (10.7) | 121 (10.4) | 41 (11.8) | |
| Others | 41 (2.7) | 30 (2.6) | 11 (3.2) | |
| Highest education level | .046 | |||
| No formal education | 160 (10.6) | 137 (11.8) | 23 (6.6) | |
| Primary | 155 (10.3) | 119 (10.2) | 36 (10.4) | |
| Secondary | 409 (27.1) | 315 (27.1) | 94 (27.1) | |
| Post-secondary & above | 786 (52.1) | 592 (50.9) | 194 (55.9) | |
| Employment status | .002 | |||
| Employed | 905 (59.9) | 703 (60.4) | 202 (58.2) | |
| Unemployed | 306 (20.3) | 247 (21.2) | 59 (17.0) | |
| Retired | 270 (17.9) | 198 (17.0) | 72 (20.7) | |
| Permanently unfit for work | 29 (1.9) | 15 (1.3) | 14 (4.0) | |
| Self-reported money sufficiency | .024 | |||
| Sufficient | 1255 (83.2) | 980 (84.4) | 275 (79.3) | |
| Insufficient | 253 (16.8) | 181 (15.6) | 72 (20.7) | |
| Smoking status | .215 | |||
| Never smoked | 1150 (76.2) | 896 (77) | 254 (73.2) | |
| Current smoker | 185 (12.3) | 141 (12.1) | 44 (12.7) | |
| Former smoker | 175 (11.6) | 126 (10.8) | 49 (14.1) | |
| Alcohol misuse | .005 | |||
| No | 1168 (77.4) | 919 (79.0) | 249 (71.8) | |
| Yes | 342 (22.6) | 244 (21.0) | 98 (28.2) | |
The most common skin conditions amongst our participants were eczema (8.8%), followed by bacterial skin infections (7.6%) and fungal skin infections (3.9%). The distributions of the thirteen skin conditions by gender and age are presented in Table 2. Men reported higher rate of fungal skin infections and psoriasis than women. Younger adults (aged 22–39 years old) had higher incidence of acne vulgaris while older adults (aged ≥75 years old) had higher prevalence of bacterial infections and skin cancer. 270 participants (17.9%) complained of pruritus but did not have a specific underlying skin condition identified.

| Skin disease | All | Gender | Age group | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Men | Women | p-value | 22–39 | 40–59 | 60–74 | ≥75 | p-value | ||
| Eczema | 133 (8.8) | 54 (8.2) | 79 (9.3) | .430 | 43 (12.5) | 45 (8.1) | 27 (6.4) | 18 (9.6) | .027 |
| Acne | 49 (3.2) | 25 (3.8) | 24 (2.8) | .303 | 26 (7.5) | 15 (2.7) | 7 (1.7) | 1 (0.5) | < .001 |
| Psoriasis | 21 (1.4) | 14 (2.1) | 7 (0.8) | .034 | 2 (0.6) | 14 (2.5) | 2 (0.5) | 3 (1.6) | .025 |
| Vitiligo | 7 (0.5) | 3 (0.5) | 4 (0.5) | .958 | 1 (0.3) | 1 (0.2) | 4 (1) | 1 (0.5) | .332 |
| Viral warts | 21 (1.4) | 7 (1.1) | 14 (1.7) | .328 | 5 (1.4) | 6 (1.1) | 6 (1.4) | 4 (2.1) | .762 |
| Scabies | 6 (0.4) | 3 (0.5) | 3 (0.4) | .761 | 2 (0.6) | 2 (0.4) | 1 (0.2) | 1 (0.5) | .882 |
| Fungal skin infections | 59 (3.9) | 43 (6.5) | 16 (1.9) | < .001 | 17 (4.9) | 20 (3.6) | 12 (2.9) | 10 (5.3) | .344 |
| Chronic urticaria | 16 (1.1) | 5 (0.8) | 11 (1.3) | .308 | 4 (1.2) | 6 (1.1) | 4 (1) | 2 (1.1) | .994 |
| Bacterial skin infections | 115 (7.6) | 60 (9.1) | 55 (6.5) | .061 | 16 (4.6) | 37 (6.6) | 36 (8.6) | 26 (13.8) | .001 |
| Chronic ulcers | 24 (1.6) | 13 (2) | 11 (1.3) | .304 | 3 (0.9) | 3 (0.5) | 14 (3.3) | 4 (2.1) | .003 |
| Skin cancer | 4 (0.3) | 2 (0.3) | 2 (0.2) | .804 | - | 1 (0.2) | - | 3 (1.6) | .002 |
| Alopecia areata | 2 (0.1) | 1 (0.2) | 1 (0.1) | .861 | 1 (0.3) | - | - | 1 (0.5) | .240 |
| Unspecific symptom of pruritus | 270 (17.9) | 118 (17.8) | 152 (17.9) | .960 | 57 (16.5) | 119 (21.3) | 60 (14.3) | 34 (18.1) | .036 |
Participants were interviewed on their comorbidities, with the three most common conditions being hypertension (29.6%), dyslipidaemia (29.1%) and diabetes (14.0%) [Table 3]. Table 3 shows that participants with skin disease reported higher prevalence of chronic conditions including diabetes mellitus, hypertension, dyslipidemia, stroke/transient ischemic attack (TIA), asthma, chronic bronchitis/emphysema/ chronic pulmonary obstructive disease, osteoarthritis/gout/rheumatoid arthritis, depression and anxiety disorder as compared to those without skin disease.

| Self-reported chronic conditions | Any skin disease in the list | p-value | |
|---|---|---|---|
| No (n = 1,163) | Yes (n = 347) | ||
| Diabetes | 142 (12.2) | 69 (19.9) | < .001 |
| Hypertension | 325 (27.9) | 122 (35.2) | .010 |
| Dyslipidemia | 322 (27.7) | 117 (33.7) | .030 |
| Heart attack/Ischemic heart disease | 19 (1.6) | 9 (2.6) | .245 |
| Heart failure | 23 (2.0) | 13 (3.7) | .058 |
| Stroke/Transient ischemic attack | 26 (2.2) | 17 (4.9) | .009 |
| Asthma | 50 (4.3) | 24 (6.9) | .047 |
| Chronic bronchitis /emphysema /Chronic obstructive pulmonary disease | 9 (0.8) | 8 (2.3) | .018 |
| Chronic kidney disease | 12 (1) | 9 (2.6) | .029 |
| Cancer | 44 (3.8) | 13 (3.7) | .975 |
| Osteoarthritis /gout /RA | 120 (10.3) | 53 (15.3) | .011 |
| Osteoporosis | 41 (3.5) | 15 (4.3) | .490 |
| Depression | 16 (1.4) | 11 (3.2) | .027 |
| Anxiety disorder | 4 (0.3) | 5 (1.4) | .020 |
Participants with skin diseases reported significantly higher PHQ-9 and UCLA Loneliness scale scores, and lower LSNS-6 and EQ-5D-5L scores compared to those without any skin diseases [Table 4].

| Any skin disease in the list | p-value | ||
|---|---|---|---|
| No (n = 1,163) | Yes (n = 347) | ||
| PHQ-9 | 0.6 ± 1.7 | 1.3 ± 2.5 | < .001 |
| LSNS-6 | 16.6 ± 5.9 | 15.9 ± 6.4 | .043 |
| UCLA Loneliness scale | 3.3 ± 0.8 | 3.5 ± 1.2 | .002 |
| EQ-5D-5L | 0.95 ± 0.12 | 0.89 ± 0.18 | < .001 |
Linear regression showed that history of skin diseases had a positive correlation with depressive symptoms (B = 0.40, SE = 0.11), and a negative correlation with HRQOL (B = -0.03, SE = 0.01), adjusted for age group, gender, marital status, employment status, highest education level, self-reported money sufficiency, and diagnosis of any chronic diseases [Table 5]. Participants with history of skin diseases were also more likely to feel socially isolated and lonely, although this was not statistically significant.

| Depressive Symptoms | Social Engagement | Loneliness | Quality of Life | |||||
|---|---|---|---|---|---|---|---|---|
| B | SE | B | SE | B | SE | B | SE | |
| History of any skin disease (Ref: no skin disease) | 0.398** | 0.114 | -0.404 | 0.347 | 0.106 | 0.055 | -0.033** | 0.007 |
| Age group (Ref:22–39) | ||||||||
| 40–59 | -0.025 | 0.136 | -1.788** | 0.415 | <0.001 | 0.066 | -0.009 | 0.009 |
| 60–74 | -0.363* | 0.165 | -3.096** | 0.501 | -0.024 | 0.079 | -0.016 | 0.010 |
| ≥75 | -0.213 | 0.222 | -5.023** | 0.676 | 0.055 | 0.107 | -0.092** | 0.014 |
| Gender (Ref: Men) | 0.159 | 0.101 | 0.478 | 0.308 | -0.096* | 0.049 | -0.015* | 0.006 |
| Marital status (Ref: Single) | ||||||||
| Married | -0.225 | 0.123 | 1.300** | 0.374 | -0.197** | 0.059 | 0.015 | 0.008 |
| Widowed / Divorced | 0.001 | 0.170 | 0.487 | 0.516 | -0.052* | 0.082 | 0.003 | 0.011 |
| Employment status (Ref: Employed) | ||||||||
| Unemployed | 0.508** | 0.131 | -1.487** | 0.400 | 0.251** | 0.063 | -0.006 | 0.008 |
| Retired | 0.440** | 0.165 | 0.458 | 0.504 | 0.044 | 0.080 | -0.032** | 0.011 |
| Unfit for work | 3.372** | 0.385 | -6.605 | 1.090 | 1.429** | 0.189 | -0.339** | 0.023 |
| Highest education (Ref: No formal education) | ||||||||
| Primary | 0.093 | 0.206 | -0.069 | 0.626 | 0.088 | 0.099 | -0.007 | 0.013 |
| Secondary | 0.080 | 0.172 | 0.386 | 0.524 | 0.128 | 0.083 | -0.003 | 0.011 |
| Post-secondary | 0.127 | 0.165 | 0.144 | 0.503 | 0.162 | 0.080 | -0.009 | 0.011 |
| Self-reported money insufficiency (Ref: sufficient) | 0.908** | 0.129 | -3.244** | 0.393 | 0.466** | 0.062 | -0.041** | 0.008 |
| Diagnosis of any chronic condition (Ref: no chronic conditions) | 0.445 | 0.108 | 0.248 | 0.330 | 0.137** | 0.052 | -0.036** | 0.007 |
*p < .05
**p < .01
This study explores the impact of skin diseases on psychosocial measures of well-being and HROQL. In this study, participants with history of any skin diseases had a mean EQ-5D index score of 0.89. This is equivalent to people suffering from migraine headaches and is lower than the mean score (0.95) obtained from a large representative sample of community-dwelling residents aged 18 years and above [9]. This highlights the debilitating nature of skin diseases where symptoms such as intractable pruritus, pain, disfigurement can significantly reduce a patient’s quality of life.
Our findings also demonstrated that participants with history of any skin diseases were more likely to have depressive symptoms, social isolation and loneliness. We examine some reasons explaining this observed phenomenon below.
This study observed that participants with skin diseases were less likely to be employed and more likely to have financial constraints [Table 1]. Across the study population, participants who were not working (including those unemployed, retired or unfit for work) and reported having insufficient money for daily living needs were more likely to have depressive symptoms [Table 5].
Patients with severe skin conditions are more likely to be unfit for work, while those with mild to moderate disease may be able to work but often require time off to attend consultations or take sick leave during flares. A study in Netherlands showed that 64% of patients with atopic dermatitis took sick leave in a year, as compared to 50% of their healthy counterparts [10]. Frequent time away from work can strain employer-employee relationships and result in termination [11], leading to increased financial strain. It is well-established that people with increased financial burden have higher risk of developing depression [12].
Participants with skin diseases were more likely to be single, including those who were widowed or divorced [Table 1]. Studies have shown that being single increases the risk of developing depression [13]. It is hypothesized that marriage exerts a protective effect on mental well-being, as based on the social support theory of marriage, one’s partner provides not only emotional, but financial and physical support. A study done in United States of America found that adult atopic dermatitis was associated with higher rates of divorce and separation, and postulated that the negative psychosocial impacts of atopic dermatitis such as fatigue, anxiety, depression, sleep disturbances were possible reasons why there was an increased risk of separation and/or divorce [14].
To cope with depression and loneliness, some may turn to maladaptive coping mechanisms such as alcohol. Participants with skin diseases are more likely to have alcohol misuse (28.2%) compared to their healthy counterparts (21%) [Table 1]. This is consistent with a study conducted in the United Kingdom which found that 30.6% of its study subjects with psoriasis had an alcohol misuse disorder compared to 14.3% of the control group [15]. Alcohol misuse not only limits the suitability of various systemic medications used to treat skin conditions, it also further propagates depressive mood symptoms [16].
With a clearer understanding of the psychosocial burden skin diseases have on our patients, we considered a few areas for improvement.
Firstly, more attention should be paid towards patients with a higher risk of developing depressive symptoms, such as those who are not working, single and elderly. Some studies have suggested monitoring patients with a short instrument like PHQ-9 regularly, to detect depression early and refer them to appropriate care accordingly. The early detection of depression is important for patients with any chronic disease, including skin conditions, as studies have shown that patients with depression are three times more likely to be non-adherent to medical treatment as compared to patients without depression [17].
In addition, more emphasis should be placed on psychosocial interventions when managing patients with skin diseases. Existing studies have demonstrated the effectiveness of psychosocial interventions such as cognitive behavioural therapy, both in-person and online [18], mindfulness-based cognitive therapy [19] and structured educational training [20]. These interventions are useful in helping patients positively deal with their condition and promoting adaptation, hence improving patient outcomes [21]. Yet, a local study showed that only 18% of dermatologists report a clear understanding of psychodermatology [22], possibly explaining the scarcity of such interventions in Singapore.
There are several limitations of this study. Firstly, as this was a cross-sectional study, we were unable to clearly ascertain the temporal relationship between skin disease and certain outcomes such as alcoholism. Also, some participants might not have been suffering from skin disease at the point of enrolment, which may have resulted in underestimation of the measured outcomes. Secondly, our study did not evaluate the severity of skin diseases, and hence we were unable to determine the association between severity of skin diseases and measured outcomes. Thirdly, while skin specific quality of life instruments like Dermatology Life Quality Index (DLQI) were not used, EQ-5D has allowed us to compare the impact of skin diseases with other chronic diseases.
Skin diseases have an adverse impact on psychosocial well-being and can lead to more depressive symptoms, social isolation, loneliness and decreased quality of life. The psychological impact of skin diseases is often underestimated compared to that of other chronic diseases. Moving forward, a more holistic approach should be taken to optimise patient care and reduce the burden of skin disease. Some considerations include monitoring patients for mood-related changes regularly and implementing psychosocial interventions early.
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