Table 2.
Results of logistic regressions using preventive services as dependent variable
| Variables | (1) | (2) | (3) |
|---|---|---|---|
| OR (95% CI) | OR (95% CI) | OR (95% CI) | |
| Sex (male as reference) | |||
| Female | 1.28*** (1.23–1.33) |
1.17*** (1.12–1.23) |
1.16*** (1.11–1.21) |
| Geographical location (urban as reference) | |||
| Rural | .92*** (.87–.96) |
.90*** (.86–.95) |
.90*** (.86–.95) |
| Age (years) | 1.07*** (1.07–1.08) |
1.07*** (1.06–1.07) |
1.07*** (1.06–1.07) |
| Civil status (married as reference) | |||
| Living with or in a relationship | .87*** (.81–.93) |
.89** (.82–.95) |
.88** (.82–.95) |
| Separated, divorced, annulled | .96 (.89–1.04) |
1.02 (.95–1.10) |
1.03 (.95–1.11) |
| Widowed | .94* (.89–.99) |
.94* (.88–.99) |
.94* (.89–.99) |
| Single | .85*** (.80–.90) |
.84*** (.79–.89) |
.85*** (.80–.91) |
| Indigeneity (not indigenous as reference) | |||
| Indigenous | 1.03 (.96–1.10) |
1.03 (.96–1.10) |
1.02 (.95–1.10) |
| Nationality (Chilean as reference) | |||
| Foreigner | .90 (.71–1.13) |
.91 (.72–1.15) |
.97 (.76–1.23) |
| Equalised income (log) | 1.11*** (1.08–1.15) |
1.13*** (1.09–1.17) |
|
| Education (years) | .99*** (.98–.99) |
.99** (.98–.99) |
|
| Employment (employed as reference) | |||
| Unemployed | 1.04 (.88–1.22) |
1.06 (.90–1.26) |
|
| Inactive | 1.40*** (1.33–1.48) |
1.41*** (1.33–1.48) |
|
| Health self-assessment (bad as reference) | |||
| Neither good nor bad | 1.18*** (1.11–1.26) |
||
| Good | 1.14** (1.06–1.22) |
||
| Health provider (FONASA as reference) | |||
| Armed forces | .92 (.81–1.05) |
||
| ISAPRE | .89** (.81–.96) |
||
| Out-of-pocket | .42*** (.33–.51) |
||
| Disability (no as reference) | |||
| Yes | 1.04 .99–1.10) |
||
| LR chi2 | 17,770.10 | 17,923.71 | 17,576.60 |
| Prob > chi2 | 0.0000 | 0.0000 | 0.0000 |
| McFadden R2 | 0.197 | 0.200 | 0.200 |
| Deviance | 72,250.482 | 71,762.361 | 70,243.872 |
| AIC | 72,270.482 | 71,790.361 | 70,283.872 |
| BIC | 72,373.157 | 71,934.053 | 70,488.597 |
* p < 0.05, ** p < 0.01, *** p < 0.001