Table 1.
The Associations between NAFLD and Socio-Demographic Parameters.
| Parameter | Variable | Without NAFLD (N, %) |
NAFLD (N, %) |
p Value | OR and 95% CI # |
|---|---|---|---|---|---|
| NAFLD diagnosis (No/Yes) | 131,591 (99.3) | 938 (0.7) | |||
| Sex | Men | 98,575 (99.1) | 891 (0.9) | <0.001 ^ | 6.29 (4.69–8.47) |
| Women | 33,016 (99.9) | 47 (0.1) | 1 | ||
| Education (Y) | High school | 111,908 (99.8) | 204 (0.2) | <0.001 * | 1 |
| Technicians | 7081 (95.4) | 345 (4.6) | 26.73 (22.44–31.83) | ||
| Academic | 12,427 (97.0) | 389 (3.0) | 17.17 (14.48–20.36) | ||
| Locality of residence | Urban Jewish | 112,635 (99.3) | 833 (0.7) | <0.001 * | 0.26 (0.16–0.43) |
| Urban Non-Jewish | 17,835 (99.5) | 83 (0.5) | 0.16 (0.09–0.28) | ||
| Rural | 567 (97.3) | 16 (2.7) | 1 | ||
| Socio-economic status (SES) | Low | 5677 (99.3) | 42 (0.7) | 0.005 * | 1.19 (0.86–1.65) |
| Medium | 68,093 (99.2) | 526 (0.8) | 1.25 (1.09–1.43) | ||
| High | 56,359 (99.4) | 348 (0.6) | 1 | ||
| Birth country | Western Europe | 10,463 (99.0) | 108 (1.0) | <0.001 * | 1.49 (1.22–1.83) |
| Eastern Europe | 1701 (99.2) | 14 (0.8) | 1.19 (0.70–2.02) | ||
| Asia | 496 (97.4) | 13 (2.6) | 3.79 (2.18–6.61) | ||
| Ethiopia | 2180 (99.8) | 5 (0.2) | 0.33 (0.13–0.80) | ||
| Africa | 334 (96.8) | 11 (3.2) | 4.77 (2.60–8.73) | ||
| North America | 2854 (99.8) | 5 (0.2) | 0.25 (0.10–0.61) | ||
| South America | 952 (99.5) | 5 (0.5) | 0.76 (0.31–1.83) | ||
| Israel | 112,582 (99.3) | 777 (0.7) | 1 | ||
| Parameter | NAFLD | Mean ± SD | p value ** | OR (95% CI) ## | |
| Age | No | 21.78 ± 5.88 | <0.001 | 1.19 (1.18–1.20) | |
| Yes | 36.81 ± 7.67 | ||||
| Time in service | No | 3.02 ± 6.13 | <0.001 | 1.14 (1.13–1.15) | |
| Yes | 18.46 ± 9.17 | ||||
^ Pearson Chi-Square; * likelihood ratio, ** non-paired t-test, # binary logistic regression; ## generalized linear models.