Table 5. Factors related to skin auto-fluorescence (in arbitrary units) using multivariate analyses stratified gender.
| Risk Factor | Effect size (CI) |
P-value |
Effect size (CI) |
P-value |
|---|---|---|---|---|
| Males, n = 175 | Females, n = 173 | |||
| Age (years) |
0.023 (0.016, 0.033) |
< 0.001 |
0.019 (0.012, 0.027) |
< 0.001 |
| Ethnicity (South Asians = reference) |
|
|
|
|
| Arabs |
0.15 (-0.04, 0.33) |
0.11 |
0.30 (0.51, 0.55) |
0.02 |
| Filipinos |
0.35 (0.02, 0.68) |
0.04 |
0.33 (0.21, 0.65) |
0.04 |
| Smoking (non-smoking = reference) |
0.21 (0.00, 0.41) |
0.05 |
0.32 (-0.18, 0.81) |
0.21 |
| Diabetes (non-diabetic = reference) |
0.13 (-0.04, 0.30) |
0.13 |
0.16 (-0.04, 0.35) |
0.11 |
| Reflectance (%) | 3.42 (0.57, 6.27) | 0.02 | 0.15 (-1.59, 1.89) | 0.86 |
Arab: Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Morocco, Oman, Palestine, Qatar, Saudi Arabia, Somalia, Sudan, Syria, Tunisia, United Arab Emirates and Yemen. South Asian: India, Bangladesh, Nepal, Pakistan, Sri Lanka. Values represent regression coefficients (95% confidence interval) and their corresponding p-values. For categorical or dichotomous variables, the effect estimates represent the difference in skin AF compared with the reference group.