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. 2018 Jun 30;37(8):2103–2111. doi: 10.1007/s10067-018-4182-3

Table 3.

Point prevalence of systemic sclerosis in 2013 (per million people)

Cases Denominator Crude prevalence Crude odds ratios (95% CI) Adjusted Odds ratios (95% CI) P value1
Overall 1337 4,362,809 307 (290–323)
Sex
 Male 227 2,155,960 105 (92–120) 1 1 P < 0.0001
 Female 1110 2,206,814 503 (474–533) 4.8 (4.1–5.5) 4.6 (3.9–5.2)
Age group (years)
 Age 0–15 13 781,568 17 (9–28) 0.2 (0.1–0.4) 0.2 (0.1–0.4) Ptrend < 0.0001
 Age 16–39 111 1,322,291 84 (69–101) 1 1
 Age 40–54 283 959,587 295 (262–331) 3.5 (2.8–4.4) 3.5 (2.8–4.4)
 Age 55–69 505 754,643 669 (612–730) 8.0 (6.5–9.8) 7.9 (6.5–9.8)
 Age 70–84 362 433,661 835 (751–925) 10.0 (8.0–12.3) 9.4 (7.6–11.7)
 Age 85+ 63 111,059 567 (436–726) 6.8 (5.0–9.2) 5.6 (4.1–7.7)
IMD 2010
 Quintile 1 188 600,110 313 (270–361) 1 1 Ptrend = 0.68
 Quintile 2 188 598,616 314 (271–362) 1.0 (0.8–1.2) 1.0 (0.8–1.2)
 Quintile 3 147 519,240 283 (239–333) 0.9 (0.7–1.1) 0.9 (0.8–1.2)
 Quintile 4 145 520,410 279 (235–328) 0.9 (0.7–1.1) 1.0 (0.8–1.3)
 Quintile 5 110 424,476 259 (213–312) 0.8 (0.7–1.0) 1.1 (0.8–1.3)
 IMD not known 559 1,699,957 329 (302–357) 1.0 (0.9–1.2) 1.1 (0.9–1.3)

Crude odds ratio is calculated using univariable logistic regression, and adjusted odds ratio is calculated using multi-variable logistic regression including sex, age group, and IMD-quintile as a priori confounders

aFrom multi-variable (adjusted) analysis using the likelihood ratio test