| Literature DB >> 33487702 |
Nilendu Sarma1, Sayantani Chakraborty2, Shital Poojary3, B M Shashi Kumar4, Lalit Kumar Gupta5, Leelavathy Budamakuntla6, Leishiwon Kumrah7, Suchibrata Das8, Ajay Govindrao Ovhal9, Nirmal Kumar Mandal10, Shuvankar Mukherjee11, T V Anoop12, Binod Kumar Thakur13, L Eswari14, Joan Felicita Samson15, Krina Bharat Patel16, Rajesh Rajagopalan17, Sanjeev Gupta18, Tejinder Kaur19.
Abstract
BACKGROUND: Vitiligo is an acquired, idiopathic, and common depigmentation disorder. The values of various epidemiologic parameters are often doubtful due to the methodological weaknesses of the studies. AIMS: To elicit the magnitude of various epidemiological parameters and important correlates of vitiligo.Entities:
Keywords: Epidemiology; India; family history; multicentric study; prevalence; psychosocial; vitiligo
Year: 2020 PMID: 33487702 PMCID: PMC7810087 DOI: 10.4103/ijd.IJD_822_19
Source DB: PubMed Journal: Indian J Dermatol ISSN: 0019-5154 Impact factor: 1.494
Center wise data of cases and controls
| State# | OPD male | OPD fem | Total | Male vitiligo | Female vitiligo | Total vitiligo | Control | % of vit in OPD | % of male vit in OPD | % of fem vit in OPD |
|---|---|---|---|---|---|---|---|---|---|---|
| Andhra Pradesh-1 | 4276 | 3980 | 8256 | 40 | 27 | 67 | 67 | 0.81% | 0.94% | 0.68% |
| Andhra Pradesh-2 | 32402 | 36755 | 69157 | 204 | 278 | 482 | 482 | 0.70% | 0.63% | 0.76% |
| Bihar | 5708 | 4735 | 10443 | 36 | 33 | 69 | 69 | 0.66% | 0.63% | 0.70% |
| Gujarat-1 | 4205 | 3862 | 8067 | 52 | 30 | 82 | 82 | 1.02% | 1.24% | 0.78% |
| Gujarat-2 | 2548 | 2168 | 4716 | 18 | 30 | 48 | 48 | 1.02% | 0.71% | 1.38% |
| Haryana | 1436 | 1343 | 2779 | 32 | 43 | 75 | 75 | 2.70% | 2.23% | 3.20% |
| Himachal Pradesh | 12376 | 13718 | 26094 | 158 | 181 | 339 | 339 | 1.30% | 1.28% | 1.32% |
| Jammu & Kashmir-1 | 15230 | 13577 | 28807 | 86 | 67 | 153 | 153 | 0.53% | 0.56% | 0.49% |
| Jammu & Kashmir-2 | 4070 | 3868 | 7938 | 54 | 74 | 128 | 128 | 1.61% | 1.33% | 1.91% |
| Jharkhand | 3024 | 2245 | 5269 | 36 | 28 | 64 | 64 | 1.21% | 1.19% | 1.25% |
| Karnataka-1 | 6148 | 5997 | 12145 | 72 | 79 | 151 | 151 | 1.24% | 1.17% | 1.32% |
| Karnataka-2 | 5095 | 4244 | 9339 | 41 | 26 | 67 | 67 | 0.72% | 0.80% | 0.61% |
| Kerala-1 | 2405 | 2611 | 5016 | 32 | 36 | 68 | 68 | 1.36% | 1.33% | 1.38% |
| Kerala-2 | 566 | 847 | 1413 | 11 | 25 | 36 | 36 | 2.55% | 1.94% | 2.95% |
| Madhya Pradesh-1 | 4254 | 3846 | 8100 | 49 | 83 | 132 | 132 | 1.63% | 1.15% | 2.16% |
| Madhya Pradesh-2 | 2743 | 1748 | 4491 | 57 | 44 | 101 | 101 | 2.25% | 2.08% | 2.52% |
| Maharastra-1 | 2839 | 3303 | 6142 | 67 | 65 | 132 | 132 | 2.15% | 2.36% | 1.97% |
| Maharastra-2 | 8052 | 6498 | 14550 | 104 | 137 | 241 | 241 | 1.66% | 1.29% | 2.11% |
| Meghalaya | 7190 | 6474 | 13664 | 61 | 53 | 114 | 114 | 0.83% | 0.85% | 0.82% |
| Nagaland | 4755 | 5123 | 9878 | 140 | 128 | 268 | 268 | 2.71% | 2.94% | 2.50% |
| Odissa | 8762 | 7321 | 16083 | 99 | 89 | 188 | 188 | 1.17% | 1.13% | 1.22% |
| Punjab | 35248 | 34146 | 69394 | 87 | 93 | 180 | 180 | 0.26% | 0.25% | 0.27% |
| Rajasthan | 13328 | 9305 | 22633 | 95 | 82 | 177 | 177 | 0.78% | 0.71% | 0.88% |
| Tamil Nadu-1 | 2405 | 1898 | 4303 | 29 | 30 | 59 | 59 | 1.37% | 1.21% | 1.58% |
| Tamil Nadu-2 | 1392 | 941 | 2333 | 17 | 26 | 43 | 43 | 1.84% | 1.22% | 2.76% |
| Telengana | 1880 | 1486 | 3366 | 76 | 66 | 142 | 142 | 4.22% | 4.04% | 4.44% |
| Tripura | 6310 | 6524 | 12834 | 12 | 8 | 20 | 20 | 0.16% | 0.19% | 0.12% |
| Uttar Pradesh | 6047 | 6566 | 12613 | 52 | 51 | 103 | 103 | 0.82% | 0.86% | 0.78% |
| West Bengal-1 | 10389 | 14518 | 24907 | 36 | 65 | 101 | 101 | 0.41% | 0.35% | 0.45% |
| West Bengal-2 | 8994 | 9551 | 18545 | 66 | 66 | 132 | 132 | 0.71% | 0.73% | 0.69% |
| Total | 224077 | 219198 | 443275 | 1919 | 2043 | 3962 | 3962 | 0.89% | 0.86% | 0.93% |
OPD: Outpatient department; Vit: vitiligo; Fem: female
Figure 1Institutional prevalence of vitiligo (overall, in males and in females) in all the centres (Andhra = Andhra Pradesh, HP = Himachal Pradesh, JH = Jharkhand, JK = Jammu and Kashmir, KT = Karnataka, Maha = Maharastra, Megha = Meghalaya, MP = Madhya Pradesh, TN = Tamil Nadu, UP = Uttar Pradesh, WB = West Bengal. The number (1, 2) beside the state indicates the centers in that state)
Differences in the clinico-demographic variables among cases and controls
| Clinical and demographic variables | Status | Case ( | Control ( | OR (95% CI) | |
|---|---|---|---|---|---|
| Sex | Male | 1919 (48.44%) | 1930 (48.71%) | 0.8 | 0.99 (0.90-1.08) |
| Female | 2043 (51.56%) | 2032 (51.29%) | |||
| Age (yrs)- mean, (SD) | 30.12 (17.97364) | 30.41 (17.45753) | 0.47 | ||
| Religion | Hindu - | 2758 (69.61%) | 2691 (67.92%) | 0.17 | |
| Muslim - | 764 (19.28%) | 824 (20.8%) | |||
| Christian- | 319 (8.05%) | 300 (7.57%) | |||
| Sikh- | 102 (2.57%) | 116 (2.93%) | |||
| Other- | 19 (0.48%) | 31 (0.78%) | |||
| Occupation | Exposure to chemicals like cement, rubber, plastic, fertilizers etc., | 450 (11.36%) | 377 (9.52%) | 0.008 (Z test) | |
| Manual labor with higher chances of friction, weight bearing, pressure etc., | 165 (4.16%) | 163 (4.11%) | 0.96 (Z test) | ||
| Education | Undergraduate- | 3172 (80.06%) | 3065 (77.36%) | 0.003 | 1.18 (1.05-1.31) |
| ≥Graduate - | 790 (19.94% | 897 (22.64%) | |||
| Consanguinity | Present - | 283 (7.14%) | 163 (4.11%) | <0.001 | 1.79 (1.46-2.20) |
| Absent - | 3679 (92.86%) | 3799 (95.89%) | |||
| Family history | Present - | 448 (11.31%) | 235 (5.92%) | <0.001 | 2.03 (1.73-2.40) |
| Absent - | 3514 (88.69%) | 3727 (94.08%) | |||
| Obesity | Overweight and obese (BMI ≥23) | 1548 (3.07%) | 1786 (45.08%) | <0.001 | 0.78 (0.71-0.86) |
| Non-obese (BMI <23) | 2414 (60.93%) | 2176 (54.92%) | |||
| Thyroid abnormality- overall | Present - | 145 (11.38%) | 55 (5.90%) | <0.001 | 2.05 (1.47-2.87) |
| Total number of persons tested 1274 (case), 932 (control) | Absent - | 1129 (88.62%) | 877 (94.10%) | ||
| Hypothyroid disorders | Present - | 134 (10.52%) | 50 (5.35%) | <0.001 | 2.07 (1.46-2.94) |
| Total number of persons tested 1274 (case), 932 (control) | Absent - | 1140 (89.48%) | 882 (94.64%) | ||
| Hyperthyroid disorders | Present - | 11 (0.86%) | 5 (0.51%) | 0.37 | 1.61 (0.52-5.34) |
| Total number of persons tested 1274 (case), 932 (control) | Absent - | 1263 (99.14%) | 927 (99.46%) | ||
| Positive Anti-TG antibody | Present - | 10 (11.36%) | 1 (1.69%) | 0.025 (Fisher exact test) | 7.44 (0.93-159.57) |
| Total persons tested 88 (case), 59 (control) | Absent - | 78 (88.64%) | 58 (98.31%) | ||
| Positive Anti-TPO antibody | Present - | 13 (13.27%) | 2 (3.39%) | 0.079 (Yates corrected) | 4.36 (0.88-29.012) |
| Total persons tested- 98 (cases), 59 (control) | Absent - | 85 (86.73%) | 57 (96.71%) | ||
| Diabetes | Type 1 diabetes- | 17 (0.78%) | 13 (0.83%) | ||
| Total persons tested -2186 (case), 1569 (control) | Type 2 diabetes- | 116 (5.65%) | 90 (5.74%) | ||
| No diabetes- | 2053 (93.92%) | 1466 (93.44%) | |||
| Depression among individual aged ≥10 years | Present | 857 (24.51%) | 338 (9.48%) | <0.001 | 3.10 (2.70-3.56) |
| Absent | 2640 (75.49%) | 3229 (90.52%) | |||
| Depression with psychosocial impact | Present | 157 (18.82%) | 33 (9.97%) | 2.09 (1.38-3.19) | |
| Absent | 677 (81.18%) | 298 (90.03%) |
TPO: Thyroid peroxidase; TG: Thyroglobulin; OR: Odds ratio, CI: Confidence interval; SD: Standard deviation
Major differences between male and female vitiligo groups
| Clinical and demographic characteristics | Status | Male ( | Female ( | OR (95% CI) | |
|---|---|---|---|---|---|
| Age at presentation (in year) mean, (SD) | 31.21 (18.71) | 29.09 (17.19) | <0.001 | ||
| Onset age- (in year) mean, (SD) | 26.345 (18.1) | 24.021 (17.21) | <0.001 | ||
| Duration of disease- (in year) mean, (SD) | 4.98 (8.124) | 5.11 (7.853) | 0.61 | ||
| Hypothyroid | Present- | 29 (5.06%) | 105 (14.98%) | <0.001 | 3.30 (2.12-5.19) |
| Total persons tested - 573 (cases), 701 (control) | Absent- | 544 (94.94%) | 596 (85.02%) | ||
| Hyperthyroid | Present- | 5 (0.87%) | 6 (0.86%) | 0.97 | 0.98 (0.26-3.71) |
| Total persons tested - 573 (cases), 701 (control) | Absent- | 568 (99.13%) | 695 (99.14) | ||
| Positive anti-TG antibody | Present- | 5 (13.16%) | 5 (10%) | 0.64 | 1.36 (0.31-6.04) |
| Total persons tested - 38 (cases), 50 (control) | Absent- | 33 (86.84%) | 45 (90%) | ||
| Positive anti-TPO antibody | Present- | 5 (12.2%) | 8 (14.04%) | 0.79 | 0.85 (0.22-3.20) |
| Total persons tested - 41 (cases), 57 (control) | Absent- | 36 (87.80%) | 49 (85.96%) | ||
| Type 2 diabetes | Present- | 55 (5.29%) | 61 (5.32%) | 0.97 | 0.99 (0.67-1.47) |
| Total persons tested - 1040 (cases), 1146 (control) | Absent- | 978 (94.04%) | 1075 (93.80%) | ||
| Type 1 diabetes | Present- | 7 (0.55%) | 10 (0.87%) | 0.35 | 0.63 (0.22-1.80) |
| Total persons tested - 1040 (cases), 1146 (control) | Absent- | 978 (94.04%) | 1075 (93.80%) | ||
| Family history of vitiligo | Present- | 208 (10.84%) | 240 (11.75%) | 0.36 | 1.09 (0.89-1.34) |
| Absent- | 1711 (89.16%) | 1803 (88.25%) | |||
| Depression among individual aged ≥10 years | Present | 357 (20.76%) | 500 (28.14%) | <0.001 | 1.49 (1.28-1.75) |
| Absent | 1363 (79.24%) | 1277 (71.86%) |
TPO: Thyroid peroxidase; TG: Thyroglobulin; SD: Standard deviation
Figure 2Trends in the presenting age and onset age in different age categories
Figure 3Distribution of stability assessed with VIDA scoring among cases (prog- progressive, repig = repigmentation, the number in bracket indicates VIDA scores)
Figure 4Distribution of rates of involvement of different regions with vitiligo at the onset, at presentation, and the change with time. At presentation, multiple regions were simultaneously affected
Comparative epidemiological profiles in previous Indian studies on vitiligo
| First author, publication year | Study type | Case types and Selection Method | Types of samples | Sample size, number of cases and duration of case selection | Geographical areas | Prevalence of vitiligo |
|---|---|---|---|---|---|---|
| Dogra S | Controlled, observational | Children (age- 6 to14 years) | Population (School survey) | Sample size- 12,586 cases-272 | Chandigarh, | 2.2% |
| Bhatia V, 1997[ | Uncontrolled, observational | Children (age group 0-14 years) | Population | Sample size-666 | Wardha, Maharastra | 0.6% |
| Das SK | Uncontrolled | All cases (in the first phase) and all new cases in the institutional phase | 1st phase- population (educational institutes and 3 areas) | 1st phase -Sample size-15,685 | Kolkata, West Bengal | 0.46% (1st phase) |
| Mehta NR | Uncontrolled, Observational | All new cases | Population | Sample size-9065 Vitiligo-138 | Surat, Gujarat | 1.13% |
| Mahajan VK | Retrospective, Uncontrolled observational | All cases from old medical records | Institutional (single centre) | Sample size-2,17,518- Cases-945 | Tanda, Himachal Pradesh | 0.43% |
| Dimri D | Uncontrolled, Observational | All new cases | Institutional (single centre) | Sample size- 47465 | Garhwal region, Uttarakhand | 3.3% |
| Agarwal S | Uncontrolled observational, | All new cases | Institutional (single centre) | Sample size-28,842 | Kumaun, Uttarakhand | 2.64% |
| Vora R | Uncontrolled observational | All new cases | Institutional (single centre) | Sample size-Unknown | Gujarat | Unknown |
| Kumar S | Uncontrolled | All cases of vitiligo | Institutional (4 centres) | Sample size-443 | Delhi, Odisha, Mahabbubnaga, Mumbai | 9.98% |
| Poojary S 2011[ | Retrospective | All cases of vitiligo (from old medical record from vitiligo clinic) | Institutional (single centre) | Sample size-33252 | Mumbai, Maharastra | 0.61% |
| Shah H | Uncontrolled | All new cases | Institutional (single centre) | Sample size-unknown | Bhavnagar, Gujarat | 1.84% |
| Dogra S | Retrospective, Uncontrolled, observational | Cases with onset after 50 years of age (from old medical record in pigmentary clinic) | Institutional (single centre) | Sample size- 112 785 | Chandigarh | 2.4% |
| Handa S | Uncontrolled, observational | All vitiligo patients | Institutional (single centre) | Sample size-57,630 | Chandigarh | 2.5% |