TABLE 10.
Multiple logistic regression analysis of the associations between pain/discomfort and influencing factors
| Variable | P‐value | Odds ratio with 95% CI |
|---|---|---|
| Age | .904 | 1.001 (0.982‐1.020) |
| Gender (Female) | ||
| Male | .001 | 0.610 (0.452‐0.822) |
| Living site (Palestinian Refugee Camp) | ||
| City | .913 | 0.958 (0.450‐2.042) |
| Village | .831 | 0.921 (0.434‐1.957) |
| Residency place (Gaza) | ||
| Jerusalem | .001 | 0.064 (0.013‐0.315) |
| Palestine (1948) | .002 | 0.091 (0.020‐0.417) |
| West Bank | .004 | 0.119 (0.028‐0.515) |
| Educational level (school study) | ||
| University study | .495 | 0.830 (0.486‐1.418) |
| Post graduate study | .462 | 0.789 (0.419‐1.484) |
| Employment (employed) | ||
| Unemployed | .073 | 1.597 (0.957‐2.666) |
| Students | .041 | 1.545 (1.018‐2.347) |
| Income level (less than 2000) | ||
| 2000‐4999 | .067 | 1.493 (0.972‐2.291) |
| 5000‐9999 | .949 | 1.016 (0.632‐1.633) |
| 10 000 and more | .900 | 1.036 (0.598‐1.795) |
| COVID‐19 infected (No) | ||
| Yes | .000 | 0.360 (0.238‐0.545) |
| Known/relative person infected with COVID‐19 (No) | ||
| Yes | .336 | 0.863 (0.639‐1.165) |
| COVID‐19 enough information? (No) | ||
| Yes | .165 | 0.760 (0.516‐1.120) |
| COVID‐19 infection chance (Low chance) | ||
| No chance | .358 | 0.762 (0.426‐1.361) |
| High chance | .667 | 1.088 (0.741‐1.596) |
| Average chance | .878 | 1.025 (0.746‐1.408) |
| Chronic disease (No) | ||
| Yes | .412 | 1.254 (0.730‐2.153) |
| Chronic pain (No) | ||
| Yes | .000 | 3.650 (2.195‐6.069) |
| BMI (underweight) | ||
| Normal | .140 | 1.451 (0.885‐2.380) |
| Overweight | .003 | 2.320 (1.344‐4.003) |
| Obese | .022 | 2.098 (1.113‐3.956) |
| COVID‐19 confinement effect on health (maybe negative) | ||
| Maybe positive | .007 | 2.137 (1.227‐3.723) |
| No effect | .154 | 1.565 (0.846‐2.897) |
| Yes negative | .756 | 0.914 (0.518‐1.612) |
| Yes positive | .000 | 4.512 (2.607‐7.808) |
Bold P‐values are statistically significant.