Abstract
Background
A 2010 CDC-sponsored consultation of psoriasis, psoriatic arthritis, and public health experts developed a public health agenda for psoriasis and psoriatic arthritis indicating that additional population-based research is needed to better characterize psoriasis in the population.
Purpose
To better characterize the burden of psoriasis in the U.S. using recent population-based, cross-sectional data in this 2012 analysis.
Methods
A subset of 10,676 adults aged 20–59 years from the 2003–2006 and 2009–2010 National Health and Nutrition Examination Surveys was used to examine psoriasis prevalence, severity, disparities, health-related quality of life, and selected comorbidities.
Results
The overall prevalence of psoriasis was 3.1% (95% CI=2.6, 3.6); extrapolating to older adults suggests that 6.7 million adults aged ≥20 years are affected. Psoriasis was significantly more prevalent among non-Hispanic whites than other race/ethnicity subgroups, as well as among those with arthritis. Approximately 82% reported no/little or mild disease; the impact of psoriasis on daily life increased with disease severity (p=0.0001 for trend). Those with psoriasis reported significantly more frequent mental distress or mild to severe depression than those without psoriasis. Psoriasis was also significantly associated with obesity and former smoking status.
Conclusions
Psoriasis is a large public health problem. Further characterizing psoriasis from a public health perspective will require better survey questions and inclusion of these questions in national surveys.
Introduction
Psoriasis is a chronic, inflammatory, autoimmune skin condition characterized by a wide range of symptoms including scaling, itching, redness, and burning.1 In 2010, the CDC began a process to develop a public health agenda for psoriasis and psoriatic arthritis by focusing on assessment issues. Among the generated research priorities was one seeking to use existing, population-based data sets to better characterize the burden of psoriasis from a population perspective, including prevalence, disparities, severity, health-related quality of life (HRQOL), and other characteristics such as comorbid conditions.
Existing public health data on these topics are relatively limited and somewhat dated. The prevalence of psoriasis has been estimated to be between 0.5% and 3.15% of the U.S. population.2–5 Disparities have been seen by age,3,6 gender,4–6 and race/ethnicity.4–7 HRQOL appears to be negatively affected by psoriasis,8–10 and in particular, its severity.4–6,11,12 Suggested comorbid conditions include several psychological and social problems such as distress, depression, anxiety, self-consciousness, impaired social functioning, and decreased work productivity or unemployment,1,13–16 higher BMI,17–22 smoking,19–26 and alcohol use.20–23,26,27
Objective
The purpose of this analysis is to use recent, population-based, nationally representative U.S. data from the 2003–2006 and 2009–2010 National Health and Nutrition Examination Surveys (NHANES) to characterize psoriasis in the U.S. population, build on an earlier report using more-limited NHANES data,5 and expand the existing knowledge base.
Methods
Data Source and Study Design
NHANES is a population-based survey that uses a complex, multistage, stratified sampling design to assess the health and nutritional status of the non-institutionalized U.S. civilian population across all age groups. Since 1999, NHANES has been conducted annually and public-use data sets are released in 2-year cycles. The household component is administered to respondents in their homes by trained interviewers. All respondents are asked to complete physical examinations and laboratory tests, which are performed in specially designed and equipped Mobile Examination Centers (MECs).28–30
In 2012, we analyzed the most recent years with data on psoriasis (2003–2006 and 2009–2010), when questions about psoriasis were only asked of those aged 20–59 years. The NHANES 2007–2008 cycle did not include data on psoriasis. This analysis used the subset of 10,676 adults aged 20–59 years from the combined data.
Variables
Psoriasis characteristics
A respondent was defined as having psoriasis if the respondent answered yes to the question: Have you ever been told by a healthcare provider that you had psoriasis?
In the 2003–2006 cycles, psoriasis severity was assessed by a question about current patches that could be covered by the respondent’s palm, where one palm corresponded to 1% body surface area (BSA) (Appendix). In the analysis, three categories were used: no/little (<1% BSA); mild (1%–2% BSA); and moderate/severe (≥3% BSA), combined owing to large relative SE. Impact of psoriasis was assessed by a question that asked participants to rank (from 1 to 10) how much of a problem their psoriasis was in their daily life (Appendix).
Demographic characteristics
Age was analyzed using both four (20–29, 30–39, 40–49, and 50–59 years) and two categories (20–39 and 40–59 years). Gender had two categories: male and female. Race/ethnicity was analyzed as non-Hispanic white, non-Hispanic black, and Hispanic/other, which included all Hispanic groups, all other races, and those who reported being multiracial. Marital status was examined as never married, married or living with partner, and divorced/widowed/separated. Education was analyzed as less than high school, high school, and more than high school. Total household income was analyzed as median income ($35,000–$44,999) or less, and greater than this median income.
HRQOL measures
HRQOL was evaluated using three measures from CDC’s Healthy Days Core Module31: general health status,32 mentally unhealthy days in the past 30 days,33 and physically unhealthy days in the past 30 days (Appendix).34 General health status was defined by the answer to a question about perceived health32; the fair and poor categories were combined owing to high relative SE. The two unhealthy days measures were only available from 2003 to 2006 because the 2009–2010 data had not been released at the time of analysis. Mentally and physically unhealthy days in the past 30 days estimate the overall number of days when the respondent felt that their mental or physical health was not good.
We also used a fourth calculated measure, overall unhealthy days in the past 30 days, a standard summary measure of HRQOL that estimates the overall number of days when the respondent felt that either their physical or mental health was not good, with a maximum of 30 days.35 A fifth measure, frequent mental distress, defined as ≥14 mentally unhealthy days during the previous 30 days, was also analyzed, as it is one of the best available measures of population mental health.32,36 A sixth measure, impact of psoriasis on daily life, was used when analyzing severity.
Other characteristics
Arthritis was defined as a positive response to the question Has a doctor or other health professional ever told you that you had arthritis? Any cardiovascular disease was defined as a positive response to questions asking if the individual was ever told by a doctor or other health professional that he or she had congestive heart failure, coronary heart disease, angina, heart attack, or stroke (Appendix).
Current BMI was determined from body measurement anthropometry37,38 and analyzed in the following categories: underweight/healthy weight (<25.00); overweight (25.00–29.99); and obese (≥30.00). Current smoking status used two questions about smoking habits (Appendix) to create a three-level variable: non-smokers, former smokers, and current daily and occasional smokers. This variable was also analyzed using two categories: never and ever (current and former) smokers.39
Following the recommendation of the CDC Alcohol Program (D. Kanny, CDC, personal communication, 2012) as used in other analyses,40,41 current alcohol use combined the responses from five questions about alcohol consumption during the past 12 months (Appendix) to develop a three-level variable: non-drinkers (no alcohol during the past year); non-excessive drinkers (average of ≤14 drinks per week for men, ≤7 drinks per week for women, and never ≥5 drinks in a single day during the past year); and excessive drinkers (average of >14 drinks per week for men, >7 drinks per week for women, or ≥5 drinks in a single day at least once during the past year).
Although health insurance questions (Appendix) for the 2003–2004 cycle of NHANES data were not identical to the 2005–2006 and 2009–2010 cycles, National Center for Health Statistics (NCHS) guidelines42 allow for the creation of a standardized comparable variable. This derived variable was then collapsed into three categories: private (anyone with private-only or both public and private insurance); public (anyone with a government- or state-sponsored health plan such as Children’s Health Insurance Program, Medicaid, Medicare, or military, but no private insurance); and no insurance (anyone with single service plans such as nursing home care, dental, vision, or who did not have private or public coverage).43
Whether a person saw a mental health professional in the last 12 months and depression severity (Appendix) were also examined. Depression severity was defined using the Patient Health Questionnaire-9 (PHQ-9). Available in the 2005–2006 and 2009–2010 cycles, this nine-item screening tool asks respondents about the frequency of depressive symptoms during the previous 2 weeks (0=not at all, 1=several days, 2=more than half the days, and 3=nearly every day) and then characterizes the response as none (0); minimal (1–4); mild (5–9); moderate (10–14); moderately severe (15–19); and severe (20–27).44 These were analyzed in three categories: no depression (0); minimal (1–4); and mild to severe (5–27).
Analysis
The survey components were acquired from the Interuniversity Consortium for Political and Social Research website (icpsr.umich.edu/icpsrweb/landing.jsp). Both the interview and MEC weights were adjusted according to NCHS standards45 because three cycles of data were combined. All data processing was completed with SAS, version 9.1.3 (SAS Institute, Cary NC) and all statistical analyses were carried out with SAS-callable SUDAAN, version 10.0.1 (Research Triangle Institute, Research Triangle Park NC).
All aspects unique to analyzing complex survey designs were accounted for in these analyses. Analyses were limited to participants who were asked the psoriasis questions (aged 20–59 years). The analyses abided by the NCHS Analytic Guidelines,30 which require that statistically reliable published estimates have a relative SE less than a designated value (30%) and a sample size greater than a fixed number of individuals (30).
Variables in the analysis that came from the interview portion of NHANES had <10% missing data; however, variables found in the MEC portion of NHANES had ≤13% missing data because not all survey participants completed the MEC portion of the survey. In the various analyses, we excluded records with missing relevant data.
The differences in demographic distributions between those with and without psoriasis were assessed using the stratum-adjusted Cochran–Mantel–Haenszel test of independence. p-values were obtained using the Satterthwaite-adjusted F-test as recommended by NCHS.46 Linear contrasts for pairs were also calculated and t-tests were used to assess pairwise differences. Prevalence and covariate data were reported as percentages or means, as appropriate, along with associated 95% CIs. To adjust for age, the direct method of standardization was used when calculating psoriasis prevalence among subgroups, adjusting weights according to the age distribution of the projected 2000 U.S. Census population aged 20–59 years.
The stratum-adjusted Cochran–Mantel–Haenszel test of trend was used to examine whether there was a trend between psoriasis severity and impact on daily life as well as other demographic variables. The Wald F-test was used to obtain the test statistics and p-values. An age–gender-adjusted test of trend was also conducted using the full cross of age categories with gender categories (eight gender by age strata).
Logistic regression models were constructed to obtain both unadjusted and adjusted ORs and 95% CIs for the odds of having psoriasis. All models were restricted to using the observations that were available for the model adjusted for age, gender, race/ethnicity, and arthritis (i.e., all observations had to have non-missing values for these variables).
Results
As shown in Table 1, a total of 10,676 individuals were included in the analyses, of whom 275 reported having ever been diagnosed by a healthcare provider as having psoriasis. Significant findings from analysis of the unadjusted, weighted distributions showed those with psoriasis to have a higher mean age, to more often be non-Hispanic white, have frequent mental distress, have arthritis, be obese, be former smokers, and have a greater severity of depression. The remaining HRQOL measures of general health status and unhealthy days were worse for those with psoriasis, although none were statistically significant.
Table 1.
Characteristic | Psoriasis (n=275a) | No psoriasis (n=10,401a) |
---|---|---|
DEMOGRAPHICS | ||
Age, mean | 40.9 (39.6, 42.2) | 39.2 (38.8, 39.5) |
Gender, male | 49.9 (43.3, 56.6) | 49.2 (48.4, 50.1) |
Race/ethnicity | ||
Non-Hispanic white | 82.0 (76.4, 86.4) | 66.7 (62.7, 70.6) |
Non-Hispanic black | 7.7 (5.4, 10.8) | 12.3 (10.5, 14.5) |
Hispanic/other | 10.3 (6.8, 15.5) | 21.0 (18.0, 24.8) |
Marital status | ||
Never married | 18.2 (13.5, 24.1) | 21.7 (20.0, 23.5) |
Married/living with partner | 69.3 (63.6, 74.5) | 64.5 (62.7, 66.2) |
Divorced/widowed/separatd | 12.5 (8.5, 18.0) | 13.8 (12.8, 15.0) |
Education | ||
Less than high school | 12.5 (8.9, 17.4) | 16.5 (15.1, 17.9) |
High school | 23.3 (18.5, 29.0) | 24.0 (22.7, 25.4) |
More than high school | 64.2 (57.6, 70.3) | 59.6 (57.7, 61.4) |
Total household income | ||
Median income or less | 34.1 (28.0, 40.7) | 40.0 (37.6, 42.4) |
Greater than median income | 65.9 (59.4, 72.0) | 60.0 (57.6, 62.4) |
Health insurance coverage | ||
Private | 66.8 (59.4, 73.5) | 65.0 (63.3, 66.8) |
Public | 13.6 (9.6, 18.8) | 11.2 (10.3, 12.1) |
No insurance | 19.6 (14.0, 26.8) | 23.8 (22.2, 25.5) |
HRQOL MEASURES | ||
General health status | ||
Fair/poor | 15.2 (11.3, 20.1) | 15.1 (14.0, 16.2) |
Good | 35.4 (30.0, 41.2) | 33.3 (32.0, 34.5) |
Very good | 32.4 (25.2, 40.5) | 32.2 (30.4, 33.9) |
Excellent | 17.1 (12.9, 22.2) | 19.5 (18.4, 20.7) |
Unhealthy days, meanb | ||
Mentally unhealthy days | 5.2 (3.7, 6.6) | 3.9 (3.6, 4.2) |
Physically unhealthy days | 4.0 (2.4, 5.7) | 3.1 (2.8, 3.4) |
Overall unhealthy days | 7.9 (6.0, 9.9) | 6.2 (5.8, 6.7) |
Frequent mental distress | 18.5 (13.7, 24.5) | 11.3 (10.1, 12.6) |
OTHER CHARACTERISTICS | ||
Arthritis | 29.1 (22.2, 37.1) | 15.6 (14.5, 16.8) |
Any cardiovascular diseasec | 4.7 (2.9, 7.6) | 3.8 (3.2, 4.4) |
Current BMI | ||
Underweight–healthy weight | 25.4 (20.3, 31.3) | 34.1 (32.4, 35.9) |
Overweight | 32.3 (25.9, 39.4) | 32.2 (30.8, 33.6) |
Obese | 42.3 (36.0, 48.9) | 33.7 (32.0, 35.5) |
Current smoking status | ||
Nonsmoker | 41.3 (35.5, 47.4) | 54.1 (52.3, 56.0) |
Former smoker | 28.5 (22.4, 35.4) | 19.2 (17.9, 20.6) |
Current smoker | 30.2 (24.8, 36.2) | 26.6 (25.1, 28.3) |
Current alcohol use | ||
Non-drinker | 25.8 (18.5, 34.7) | 29.7 (27.6, 31.9) |
Non-excessive drinker | 37.6 (30.1, 45.7) | 34.0 (32.3, 35.6) |
Excessive drinker | 36.7 (28.9, 45.2) | 36.3 (34.3, 38.3) |
Saw mental health professional in the last year | 13.8 (9.5, 19.6) | 8.9 (8.2, 9.7) |
Depression severityd | ||
No depression | 25.4 (18.5–33.9) | 32.8 (30.9–34.8) |
Minimal | 40.9 (33.8–48.3) | 44.5 (43.0–45.9) |
Mild, moderate, or severe | 33.7 (26.5–41.8) | 22.7 (20.9–24.7) |
Note: Boldface indicates statistical significance relative to the comparison group.
Unweighted counts
2003–2006 NHANES only; psoriasis, unweighted n=162; no psoriasis, unweighted n=6,370
Results may be statistically unreliable, as estimate is based a on cell size <30 and the sample comes from <12 variance strata with observations in both primary sampling units.
2005–2006 and 2009–2010 NHANES only; psoriasis, unweighted n=198; no psoriasis, unweighted n=7,346
HRQOL, health-related quality of life; NHANES, National Health and Nutrition Examination Survey
Additionally, these findings showed that those with psoriasis were less often Hispanic/other, underweight or healthy weight, and non-smokers (Table 1). Among those with psoriasis, frequent mental distress was significantly more common among women (24.5%, 95% CI=17.2, 33.5) than men (11.6%, 95% CI=6.5, 19.7).
The overall age-adjusted prevalence of psoriasis among adults aged 20–59 years was 3.1% (95% CI=2.6, 3.6). Psoriasis prevalence was significantly higher among non-Hispanic whites and those with arthritis and significantly lower among non-smokers. Psoriasis prevalence was also non-significantly higher among alcohol drinkers and the obese. Prevalence increased as BMI increased, with underweight healthy individuals having the lowest prevalence (2.4%) followed by overweight (3.1%) and obese (3.7%) individuals (Table 2).
Table 2.
Characteristic | % (95% CI) |
---|---|
Overall prevalence | 3.1 (2.6, 3.6) |
Gender | |
Male | 3.1 (2.5, 3.9) |
Female | 3.0 (2.5, 3.7) |
Race/ethnicity | |
Non-Hispanic white | 3.7 (3.1, 4.4)* |
Non-Hispanic Black | 2.0 (1.4, 2.8) |
Hispanic/Other | 1.6 (1.1, 2.3) |
Marital status | |
Never married | 2.3 (1.6, 3.3) |
Married/living with partner | 3.2 (2.7, 3.8) |
Divorced/widowed/separated | 2.9 (1.8, 4.7) |
Education | |
Less than high school | 2.3 (1.7, 3.1) |
High school | 3.0 (2.3, 3.9) |
More than high school | 3.3 (2.7, 4.0) |
Total household income | |
Median income or less | 2.7 (2.2, 3.4) |
Greater than median income | 3.4 (2.8, 4.1) |
Arthritis | |
Yes | 6.4 (4.3, 9.4)** |
No | 2.6 (2.2, 3.1) |
Any cardiovascular diseaseb | |
Yes | 3.1 (1.7, 5.6) |
No | 3.1 (2.6, 3.6) |
Current BMI | |
Underweight–healthy weight | 2.4 (1.9, 3.1) |
Overweight | 3.1 (2.4, 4.0) |
Obese | 3.7 (2.9, 4.7) |
Current smoking status | |
Nonsmoker | 2.4 (1.9, 2.9)*** |
Former smoker | 4.1 (3.2, 5.4) |
Current smoker | 3.5 (2.7, 4.5) |
Current alcohol use | |
Non-drinker | 2.7 (1.9, 3.8) |
Non-excessive drinker | 3.3 (2.6, 4.1) |
Excessive drinker | 3.2 (2.5, 4.1) |
Note: Boldface indicates statistical significance (p<0.05).
Prevalence of psoriasis was directly standardized against the projected 2000 U.S. Census Population for ages 20–59 by the age categories defined for this study.
Results may be statistically unreliable, as estimate is based on a cell size <30 and the sample comes from <12 variance strata with observations in both primary sampling units.
Estimate is significantly greater for non-Hispanic whites compared with non-Hispanic blacks and Hispanics/others.
Estimate is significantly greater for individuals with arthritis compared with individuals without arthritis.
Estimate is significantly less for nonsmokers compared with former smokers.
NHANES, National Health and Nutrition Examination Survey
Psoriasis severity was generally mild: 54.5% (95% CI=44.8, 63.9) reported no or little disease; 27.3% (95% CI=21.1, 34.6) reported mild disease; and 18.2% (95% CI=12.4, 25.9) reported moderate or severe disease. Severity was not associated with the analyzed demographic characteristics or current smoking status (Table 3).
Table 3.
Characteristic | No/little psoriasis (<1% BSA) | Mild psoriasis (1–2% BSA) | Moderate/severe psoriasis (≥3% BSA) |
---|---|---|---|
Total | 54.5 (44.8, 63.9) | 27.3 (21.1, 34.6) | 18.2 (12.4, 25.9) |
Demographics | |||
Age, mean | 41.6 (39.4, 43.9) | 41.9 (39.1, 44.7) | 39.9 (36.1, 43.7) |
Gender, male | 41.9 (29.9, 54.9) | 59.0 (41.1, 74.7) | 42.4 (24.9, 62.1) |
Non-Hispanic white | 77.6 (66.3, 85.9) | 92.1 (85.1, 95.9) | 87.0 (75.5, 93.5) |
Married/living with partner | 72.8 (62.4, 81.1) | 72.3 (55.5, 84.5) | 67.4 (49.7, 81.3) |
More than high school education | 72.8 (65.3, 79.3) | 64.4 (44.4, 80.3) | 59.8 (40.7, 76.3) |
Greater than median income | 62.4 (51.7, 72.1) | 77.8 (62.6, 88.0) | 58.6 (41.0, 74.3) |
HRQOL measures | |||
Mentally unhealthy days, mean | 5.1 (2.9, 7.2) | 4.1 (1.7, 6.4) | 7.2 (3.7, 10.8) |
Overall unhealthy days, mean | 8.3 (5.4, 11.1) | 6.5 (3.2, 9.8) | 9.2 (5.0, 13.4) |
Impact on daily life, mean | 2.7 (2.2, 3.2) | 4.2 (2.8, 5.5) | 7.5 (6.3, 8.7)* |
Other characteristics | |||
Ever smokerd | 55.0 (43.8, 65.7) | 51.1 (35.9, 66.2) | 62.4 (48.9, 74.2) |
Severity is defined as the self-reported number of hand palms that can cover the psoriasis rash, with one palm considered 1% BSA.
Unweighted sample size: no/little psoriasis=89, mild psoriasis=43, moderate/severe psoriasis=30
Results may be statistically unreliable, as estimates are based on cell sizes <30 or the sampled individual comes from <12 variance strata with observations in both primary sampling units.
Both current and former smokers.
The mean impact of psoriasis on daily life was significantly greater among moderate/severe cases compared to mild and no/little cases. An age–gender-adjusted test for trend also showed that impact of psoriasis on daily life increased with disease severity (p=0.0001).
BSA, body surface area; HRQOL, health-related quality of life; NHANES, National Health and Nutrition Examination Survey
Among HRQOL measures, the mean score for the impact of psoriasis on daily life increased with disease severity (p=0.0001 for trend), even after adjusting for age and gender (data not shown), and was significantly higher for those with moderate/severe psoriasis (Table 3). The mean number of mentally unhealthy days and overall unhealthy days (mental and physical combined) was higher for those with moderate/severe psoriasis compared with those with no/little psoriasis and mild psoriasis, but this was not statistically significant (Table 3). These results need to be interpreted carefully; although, the relative SEs were <30%, most estimates were based on sample sizes of <30.
In selected subanalyses, women with psoriasis (unweighted n=80, weighted n=2,424,815) reported nearly twice the mean number of mentally unhealthy days compared with men with psoriasis (unweighted n=61, weighted n=2,064,853; 6.6 days, 95% CI=4.4, 8.8 vs 3.5 days, 95% CI=2.0, 4.9), but this difference was not statistically significant.
For both unadjusted and adjusted (for age, gender, race/ethnicity, and arthritis) logistic regression models, psoriasis was significantly associated with current obesity, and marginally associated with current overweight (lower 95% bound=1.0). In both models, psoriasis was significantly associated with being a former or current smoker (Table 4).
Table 4.
Characteristic | Unadjusted OR (95% CI) | AORa (95% CI) |
---|---|---|
Age (years) | ||
20–29 | 1.0 | 1.0 |
30–39 | 1.6 (1.0, 2.5) | 1.4 (0.9, 2.4) |
40–49 | 1.4 (0.9, 2.2) | 1.1 (0.7, 1.7) |
50–59 | 1.6 (1.2, 2.2) | 1.0 (0.7, 1.6) |
Gender | ||
Male | 1.0 | 1.0 |
Female | 1.0 (0.8, 1.3) | 1.1 (0.8, 1.4) |
Race/ethnicity | ||
Non-Hispanic white | 1.0 | 1.0 |
Non-Hispanic black | 0.5 (0.3, 0.7) | 0.5 (0.4, 0.8) |
Hispanic/other | 0.4 (0.3, 0.6) | 0.5 (0.3, 0.7) |
Arthritis | ||
No | 1.0 | 1.0 |
Yes | 2.3 (1.6, 3.3) | 2.0 (1.3, 3.0) |
Current BMI | ||
Underweight–healthy weight | 1.0 | 1.0 |
Overweight | 1.4 (1.0, 2.0) | 1.4 (1.0, 2.0) |
Obese | 1.7 (1.2, 2.3) | 1.6 (1.2, 2.2) |
Current smoking status | ||
Nonsmokers | 1.0 | 1.0 |
Former smokers | 2.0 (1.4, 2.7) | 1.7 (1.2, 2.4) |
Current smokers | 1.5 (1.2, 1.9) | 1.5 (1.1, 1.9) |
Note: Boldface indicates OR significantly >1.
Adjusted for age, gender, race/ethnicity, current smoking status, current BMI, and arthritis (potential confounders identified in preliminary analyses)
NHANES, National Health and Nutrition Examination Survey
Discussion
We estimate the prevalence of psoriasis among adults aged 20–59 years to be 3.1% (95% CI=2.6, 3.6%), which translates into 5.0 million adults (95% CI=4.2, 5.8 million) based on the 2003–2006 and 2009–2010 U.S. Census Bureau’s Current Population Survey (CPS).47–49 These estimates are comparable to other published findings in the U.S.,4–6,17 some of which used subsets of our NHANES data. A previous study suggests that the occurrence of psoriasis is similar for adults aged ≥50 years6; therefore, applying our age 50–59 year estimate (3.5%) to those aged ≥60 years in the CPS population suggests that an additional 1.7 million, or 6.7 million total adults, are affected.47–49
These estimates are likely conservative, as they do not include undiagnosed persons,5 those who may have been diagnosed but do not know their diagnosis, and those younger than 20 years. Consistent with previous investigations, the prevalence of psoriasis among non-Hispanic whites was significantly higher than among other racial/ethnic groups, which may be due to differences in the disease occurrence itself or issues related to healthcare access or utilization.
The prevalence of psoriasis was significantly higher (about 2.0-fold) among those who reported having arthritis than those without arthritis, probably because of the occurrence of psoriatic arthritis in 10–15% of psoriasis patients,50,51 and highlights a need for dermatologists and rheumatologists to work together to address the spectrum of psoriatic disease. The prevalence of psoriasis was higher among those with any cardiovascular disease compared with those without cardiovascular disease, as has been seen in other studies,24,52–54 but this association was not significant in our study, in part because of the small sample size (n<30).
The selected HRQOL measures have been previously validated33,36,55 and are included in the CDC’s Healthy Days Core Module. Although frequent mental distress was the only measure that was significantly worse in the psoriasis group (about 1.5-fold), all of the HRQOL measures tended to be worse for adults with psoriasis than those without psoriasis. Subsequent analyses revealed that the impact of psoriasis on daily life increased significantly with disease severity, demonstrating the importance of managing and treating moderate to severe psoriasis.
Depression severity was assessed using the previously validated PHQ-9,44 and results indicate that adults with psoriasis report mild to severe depression significantly more frequently (about 1.5-fold) than those without psoriasis. These results, combined with the HRQOL measures, provide a more comprehensive assessment of the burden of psoriasis within the U.S. population and demonstrate the need for targeted interventions to improve QOL and other mental health domains.
The analysis found no association with current alcohol use, as did another study,25 but the 12-month recall period is subject to recall bias. A systematic literature review suggested a positive association but was not conclusive because of the heterogeneity of alcohol measurement in relevant studies.26 Consistent with previous research, the analysis found a significant association with current obesity.19,53,56,57 A recent study using 2003–2006 NHANES data reported a high prevalence of metabolic syndrome (AOR=1.96) among psoriasis patients.17 As a component of metabolic syndrome, obesity should continue to be recognized and managed among individuals with psoriasis.
Previous research has shown that former and current smokers have a significantly increased risk of developing incident psoriasis when compared with nonsmokers.25,58,59 As expected, our study found a significant association of prevalent psoriasis among former and current smokers. If smoking is associated with disease progression as well as incidence, then the high proportion of current smokers (30%) suggests another reason for public health professionals and clinicians to work together to promote smoking-cessation efforts among those with prevalent psoriasis.
There were at least nine limitations in this study. First, overall prevalence estimates exclude the pediatric population, and analyses of prevalence exclude those aged ≥60 years as well. Second, self-report of a previous diagnosis of psoriasis has not been validated. Third, the relatively small sample size (and high relative SE) required grouping some variable responses, which disallowed in-depth or stratified analysis of some variables and prevented analysis of other important disease management topics. Fourth, the cross-sectional design of NHANES did not allow us to address issues of natural history, age of onset, response to or lack of treatment, and risk factors.
Fifth, the use of BSA is limited by the lack of information on psoriasis location (e.g., scalp, hands, feet, and nails) and type (e.g., erythrodermic, pustular, guttate, or inverse), both of which can affect clinical severity. Sixth, it is difficult to attribute some significant findings to psoriasis because other medical conditions may have contributed to those outcomes. Seventh, limited numbers made it impossible to assess some ethnic populations (e.g., Asian subpopulations) that are known to have higher psoriasis prevalence. Eighth, excluding those with incomplete responses may have biased the analysis toward completers. Ninth, a general survey like NHANES precludes the use of psoriasis-specific questions that might be more informative.
Strengths of this study include its effort to examine the full spectrum of psoriasis, its generalizability to the target U.S. population, and its ability to address a variety of issues in the same survey. In addition, it extends the findings of an earlier analysis5 and provides nationally representative evidence on alcohol, cardiovascular disease, depression, smoking, and HRQOL not previously examined within the U.S. population using the NHANES surveys.
Psoriasis is a major public health problem, affecting an estimated 6.7 million adult Americans. The financial burden of this disease has been estimated to be as high as $11.25 billion60 annually. This work is part of a broader public health agenda61 to address psoriasis from a population-based perspective. The findings from this study suggest the need for additional public health activities to monitor and address the adverse HRQOL effects, comorbid conditions, and smoking behaviors of individuals with psoriasis.
The study also demonstrates the need to validate self-reported psoriasis; develop better survey questions for assessing psoriasis severity; support efforts to include psoriasis questions into existing national (e.g., National Health Interview Survey) and state (e.g., Behavioral Risk Factor Surveillance Survey) surveys; and consider the value that psoriasis-specific surveys might add.
Supplementary Material
Acknowledgments
We would like to thank the many academic and CDC colleagues who have provided expert consultation and technical advice during the conduct of this work. Specifically, we would like to acknowledge the technical advice of the NHANES staff at the National Center for Health Statistics in the CDC and the topical expertise provided by Drs. Joel M. Gelfand, MD, MSCE, M. Elaine Husni, MD, MPH, Abrar A. Qureshi, MD, MPH, Christopher Ritchlin, MD, MPH, and Jeffrey J. Sacks, MD, MPH. Their support and guidance is greatly appreciated. Funding was provided by the USDHHS, CDC (contract no. 200-2008-27889).
Appendix: Supplementary data
Supplementary data associated with this article can be found at http://dx.doi.org/10.1016/j.amepre.2014.02.012.
Footnotes
No financial disclosures were reported by the authors of this paper.
References
- 1.Krueger G, Koo J, Lebwohl M, Menter A, Stern RS, Rolstad T. The impact of psoriasis on quality of life: results of a 1998 National Psoriasis Foundation patient-membership survey. Arch Dermatol. 2001;137(3):280–4. [PubMed] [Google Scholar]
- 2.Shbeeb M, Uramoto KM, Gibson LE, O’Fallon WM, Gabriel SE. The epidemiology of psoriatic arthritis in Olmsted County, Minnesota, USA, 1982–1991. J Rheumatol. 2000;27(5):1247–50. [PubMed] [Google Scholar]
- 3.Javitz HS, Ward MM, Farber E, Nail L, Vallow SG. The direct cost of care for psoriasis and psoriatic arthritis in the U.S. J Am Acad Dermatol. 2002;46(6):850–60. doi: 10.1067/mjd.2002.119669. [DOI] [PubMed] [Google Scholar]
- 4.Koo J. Population-based epidemiologic study of psoriasis with emphasis on quality of life assessment. Dermatol Clin. 1996;14(3):485–96. doi: 10.1016/s0733-8635(05)70376-4. [DOI] [PubMed] [Google Scholar]
- 5.Kurd SK, Gelfand JM. The prevalence of previously diagnosed and undiagnosed psoriasis in U.S. adults: results from NHANES 2003–2004. J Am Acad Dermatol. 2009;60(2):218–24. doi: 10.1016/j.jaad.2008.09.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Stern RS, Nijsten T, Feldman SR, Margolis DJ, Rolstad T. Psoriasis is common, carries a substantial burden even when not extensive, and is associated with widespread treatment dissatisfaction. J Investig Dermatol Symp Proc. 2004;9(2):136–9. doi: 10.1046/j.1087-0024.2003.09102.x. [DOI] [PubMed] [Google Scholar]
- 7.Gelfand JM, Stern RS, Nijsten T, et al. The prevalence of psoriasis in African Americans: results from a population-based study. J Am Acad Dermatol. 2005;52(1):23–6. doi: 10.1016/j.jaad.2004.07.045. [DOI] [PubMed] [Google Scholar]
- 8.Delfino M, Jr, Holt EW, Taylor CR, Wittenberg E, Qureshi AA. Willingness-to-pay stated preferences for 8 health-related quality-of-life domains in psoriasis: a pilot study. J Am Acad Dermatol. 2008;59(3):439–47. doi: 10.1016/j.jaad.2008.05.032. [DOI] [PubMed] [Google Scholar]
- 9.Schmitt JM, Ford DE. Understanding the relationship between objective disease severity, psoriatic symptoms, illness-related stress, health-related quality of life and depressive symptoms in patients with psoriasis—a structural equations modeling approach. Gen Hosp Psychiatry. 2007;29(2):134–40. doi: 10.1016/j.genhosppsych.2006.12.004. [DOI] [PubMed] [Google Scholar]
- 10.Weiss SC, Kimball AB, Liewehr DJ, Blauvelt A, Turner ML, Emanuel EJ. Quantifying the harmful effect of psoriasis on health-related quality of life. J Am Acad Dermatol. 2002;47(4):512–8. doi: 10.1067/mjd.2002.122755. [DOI] [PubMed] [Google Scholar]
- 11.Gelfand JM, Feldman SR, Stern RS, Thomas J, Rolstad T, Margolis DJ. Determinants of quality of life in patients with psoriasis: a study from the U.S. population. J Am Acad Dermatol. 2004;51(5):704–8. doi: 10.1016/j.jaad.2004.04.014. [DOI] [PubMed] [Google Scholar]
- 12.Raychaudhuri SP, Gross J. Psoriasis risk factors: role of lifestyle practices. Cutis. 2000;66(5):348–52. [PubMed] [Google Scholar]
- 13.Ciocon DH, Horn EJ, Kimball AB. Quality of life and treatment satisfaction among patients with psoriasis and psoriatic arthritis and patients with psoriasis only: results of the 2005 Spring U.S. National Psoriasis Foundation Survey. Am J Clin Dermatol. 2008;9(2):111–7. doi: 10.2165/00128071-200809020-00004. [DOI] [PubMed] [Google Scholar]
- 14.Rapp SR, Exum ML, Reboussin DM, Feldman SR, Fleischer A, Clark A. The physical, psychological and social impact of psoriasis. J Health Psychol. 1997;2(4):525–37. doi: 10.1177/135910539700200409. [DOI] [PubMed] [Google Scholar]
- 15.Schmitt JM, Ford DE. Work limitations and productivity loss are associated with health-related quality of life but not with clinical severity in patients with psoriasis. Dermatology. 2006;213(2):102–10. doi: 10.1159/000093848. [DOI] [PubMed] [Google Scholar]
- 16.Schmitt JM, Ford DE. Role of depression in quality of life for patients with psoriasis. Dermatology. 2007;215(1):17–27. doi: 10.1159/000102029. [DOI] [PubMed] [Google Scholar]
- 17.Love TJ, Qureshi AA, Karlson EW, Gelfand JM, Choi HK. Prevalence of the metabolic syndrome in psoriasis: results from the National Health and Nutrition Examination Survey, 2003–2006. Arch Dermatol. 2011;147(4):419–24. doi: 10.1001/archdermatol.2010.370. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Murray ML, Bergstresser PR, Adams-Huet B, Cohen JB. Relationship of psoriasis severity to obesity using same-gender siblings as controls for obesity. Clin Exp Dermatol. 2009;34(2):140–4. doi: 10.1111/j.1365-2230.2008.02791.x. [DOI] [PubMed] [Google Scholar]
- 19.Herron MD, Hinckley M, Hoffman MS, et al. Impact of obesity and smoking on psoriasis presentation and management. Arch Dermatol. 2005;141(12):1527–34. doi: 10.1001/archderm.141.12.1527. [DOI] [PubMed] [Google Scholar]
- 20.Sommer DM, Jenisch S, Suchan M, Christophers E, Weichenthal M. Increased prevalence of the metabolic syndrome in patients with moderate to severe psoriasis. Arch Dermatol Res. 2006;298(7):321–8. doi: 10.1007/s00403-006-0703-z. [DOI] [PubMed] [Google Scholar]
- 21.Driessen RJ, Boezeman JB, Van De Kerkhof PC, De Jong EM. Cardiovascular risk factors in high-need psoriasis patients and its implications for biological therapies. J Dermatolog Treat. 2009;20(1):42–7. doi: 10.1080/09546630802225702. [DOI] [PubMed] [Google Scholar]
- 22.Qureshi AA, Choi HK, Setty AR, Curhan GC. Psoriasis and the risk of diabetes and hypertension: a prospective study of U.S. female nurses. Arch Dermatol. 2009;145(4):379–82. doi: 10.1001/archdermatol.2009.48. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Fortes C, Mastroeni S, Leffondré K, et al. Relationship between smoking and the clinical severity of psoriasis. Arch Dermatol. 2005;141(12):1580–4. doi: 10.1001/archderm.141.12.1580. [DOI] [PubMed] [Google Scholar]
- 24.Gelfand JM, Neimann AL, Shin DB, Wang X, Margolis DJ, Troxel AB. Risk of myocardial infarction in patients with psoriasis. JAMA. 2006;296(14):1735–41. doi: 10.1001/jama.296.14.1735. [DOI] [PubMed] [Google Scholar]
- 25.Huerta C, Rivero E, Rodríguez LA. Incidence and risk factors for psoriasis in the general population. Arch Dermatol. 2007;143(12):1559–65. doi: 10.1001/archderm.143.12.1559. [DOI] [PubMed] [Google Scholar]
- 26.Brenaut E, Horreau C, Pouplard C, et al. Alcohol consumption and psoriasis: a systematic literature review. J Eur Acad Dermatol Venereol. 2013;27(3S):S30–S35. doi: 10.1111/jdv.12164. [DOI] [PubMed] [Google Scholar]
- 27.Poikolainen K, Reunala T, Karvonen J, Lauharanta J, Kärkkäinen P. Alcohol intake: a risk factor for psoriasis in young and middle aged men? BMJ. 1990;300(6727):780–3. doi: 10.1136/bmj.300.6727.780. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.NHANES 2003–2004 public data general release file documentation. Atlanta GA: CDC; 2005. www.cdc.gov/nchs/data/nhanes/nhanes_03_04/general_data_release_doc_03-04.pdf. [Google Scholar]
- 29.CDC. NHANES 2005–2006 public data general release file documentation. Atlanta GA: CDC; 2005. www.cdc.gov/nchs/data/nhanes/nhanes_05_06/general_data_release_doc_05_06.pdf. [Google Scholar]
- 30.CDC. Analytic and reporting guidelines: the National Health and Nutrition Examination Survey (NHANES) Atlanta GA: CDC; 2005. www.cdc.gov/nchs/data/nhanes/nhanes_03_04/nhanes_analytic_guidelines_dec_2005.pdf. [Google Scholar]
- 31.CDC. CDC HRQOL-14 Healthy Days Measure. www.cdc.gov/hrqol/hrqol14_measure.htm.
- 32.CDC. Chronic disease indicators: indicator definition, fair or poor self-rated health status among adults aged ≥18 years. apps.nccd.cdc.gov/cdi/IndDefinition.aspx?IndicatorDefinitionID=28.
- 33.CDC. Chronic disease indicators: indicator definition, recent mentally unhealthy days among adults aged ≥18 years. apps.nccd.cdc.gov/cdi/indDefinition.aspx?IndicatorDefinitionID=88.
- 34.CDC. Chronic disease indicators: indicator definition, recent physically unhealthy days among adults aged ≥18 years. apps.nccd.cdc.gov/cdi/IndDefinition.aspx?IndicatorDefinitionID=87.
- 35.CDC. Health- related quality of life (HRQOL) methods and measures: origins and use of CDC HRQOL measures and data. cdc.gov/hrqol/methods.htm.
- 36.CDC. Measuring healthy days. Atlanta GA: CDC; 2000. [Google Scholar]
- 37.CDC. 2003–2004 data documentation, codebook, and frequencies: body measurements (BMX_C) www.cdc.gov/nchs/nhanes/nhanes2003-2004/BMX_C.htm.
- 38.CDC. 2005–2006 data documentation, codebook, and frequencies: body measurements (BMX_D) www.cdc.gov/nchs/nhanes/nhanes2005-2006/BMX_D.htm.
- 39.CDC. Chronic disease indicators: indicator definition, cigarette smoking among adults aged ≥18 years. apps.nccd.cdc.gov/cdi/indDefinition.aspx?IndicatorDefinitionID=17.
- 40.Tsai J, Ford ES, Zhao G, Li C, Greenlund KJ, Croft JB. Co-occurrence of obesity and patterns of alcohol use associated with elevated serum hepatic enzymes in US adults. J Behav Med. 2012;35(2):200–10. doi: 10.1007/s10865-011-9353-5. [DOI] [PubMed] [Google Scholar]
- 41.Tsai J, Ford ES, Li C, Zhao G. Past and current alcohol consumption patterns and elevations in serum hepatic enzymes among U.S. adults. Addict Behav. 2012;37(1):78–84. doi: 10.1016/j.addbeh.2011.09.002. [DOI] [PubMed] [Google Scholar]
- 42.CDC. 2005–2006 data documentation, codebook, and frequencies: health insurance (HIQ_D) cdc.gov/nchs/nhanes/nhanes2005-2006/HIQ_D.htm.
- 43.Schober SE, Makuc DM, Zhang C, Kennedy-Stephenson J, Burt V. Health insurance affects diagnosis and control of hypercholesterolemia and hypertension among adults aged 20–64: U.S. 2005–2008. NCHS Data Brief. 2011;57:1–8. [PubMed] [Google Scholar]
- 44.Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606–13. doi: 10.1046/j.1525-1497.2001.016009606.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.CDC. Task 2: when and how to construct weights when combining survey cycles. cdc.gov/nchs/tutorials/NHANES/SurveyDesign/Weighting/Task2.htm.
- 46.CDC. NHANES web tutorial frequently asked questions (FAQs) cdc.gov/nchs/tutorials/Nhanes/FAQs.htm.
- 47.CDC. Atlanta GA: CDC; 2009. Unweighted response rates for NHANES 2003–2004 by age and gender. www.cdc.gov/nchs/data/nhanes/response_rates_cps/RRT0304MF.pdf. [Google Scholar]
- 48.CDC. Unweighted response rates for NHANES 2005–2006 by age and gender. Atlanta GA: CDC; 2009. www.cdc.gov/nchs/data/nhanes/response_rates_cps/RRT0506MF.pdf. [Google Scholar]
- 49.CDC. Unweighted response rates for NHANES 2009–2010 by age and gender. Atlanta GA: CDC; 2011. www.cdc.gov/nchs/data/nhanes/response_rates_cps/RRT0910.pdf. [Google Scholar]
- 50.Gelfand JM, Gladman DD, Mease PJ, et al. Epidemiology of psoriatic arthritis in the population of the U.S. J Am Acad Dermatol. 2005;53(4):573. doi: 10.1016/j.jaad.2005.03.046. [DOI] [PubMed] [Google Scholar]
- 51.Ibrahim G, Waxman R, Helliwell PS. The prevalence of psoriatic arthritis in people with psoriasis. Arthritis Rheum. 2009;61(10):1373–8. doi: 10.1002/art.24608. [DOI] [PubMed] [Google Scholar]
- 52.Fowler JF, Duh MS, Rovba L, et al. The impact of psoriasis on health care costs and patient work loss. J Am Acad Dermatol. 2008;59(5):772–80. doi: 10.1016/j.jaad.2008.06.043. [DOI] [PubMed] [Google Scholar]
- 53.Prodanovich S, Kirsner RS, Kravetz JD, Ma F, Martinez L, Federman DG. Association of psoriasis with coronary artery, cerebrovascular, and peripheral vascular diseases and mortality. Arch Dermatol. 2009;145(6):700–3. doi: 10.1001/archdermatol.2009.94. [DOI] [PubMed] [Google Scholar]
- 54.Yu AP, Tang J, Xie J, et al. Economic burden of psoriasis compared to the general population and stratified by disease severity. Curr Med Res Opin. 2009;25(10):2429–38. doi: 10.1185/03007990903185557. [DOI] [PubMed] [Google Scholar]
- 55.Idler EL, Benyamini Y. Self-rated health and mortality: a review of twenty-seven community studies. J Health Soc Behav. 1997;38(1):21–37. [PubMed] [Google Scholar]
- 56.McGowan JW, Pearce DJ, Chen J, Richmond D, Balkrishnan R, Feldman SR. The skinny on psoriasis and obesity. Arch Dermatol. 2005;141(12):1601–2. doi: 10.1001/archderm.141.12.1601. [DOI] [PubMed] [Google Scholar]
- 57.Neimann AL, Shin DB, Wang X, Margolis DJ, Troxel AB, Gelfand JM. Prevalence of cardiovascular risk factors in patients with psoriasis. J Am Acad Dermatol. 2006;55(5):829–35. doi: 10.1016/j.jaad.2006.08.040. [DOI] [PubMed] [Google Scholar]
- 58.Naldi L, Peli L, Parazzini F. Association of early-stage psoriasis with smoking and male alcohol consumption: evidence from an Italian case-control study. Arch Dermatol. 1999;135(12):1479–84. doi: 10.1001/archderm.135.12.1479. [DOI] [PubMed] [Google Scholar]
- 59.Wolk K, Mallbris L, Larsson P, Rosenblad A, Vingård E, Ståhle M. Excessive body weight and smoking associates with a high risk of onset of plaque psoriasis. Acta Derm Venereol. 2009;89(5):492–7. doi: 10.2340/00015555-0711. [DOI] [PubMed] [Google Scholar]
- 60.About Psoriasis: statistics. National Psoriasis Foundation website, citing; Fowler JF, Duh MS, Rovba L, et al. The impact of psoriasis on health care costs and patient work loss. J Am Acad Dermatol. 2008;59(5):772–80. doi: 10.1016/j.jaad.2008.06.043. psoriasis.org/learn_statistics. [DOI] [PubMed] [Google Scholar]
- 61.Helmick CG, Sacks JJ, Gelfand JM, et al. Psoriasis and psoriatic arthritis: a public health agenda. Am J Prev Med. 2013;44(4):424–6. doi: 10.1016/j.amepre.2013.01.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.