Table 3 Logistic regression models of late-stage of cancer diagnosis in two healthcare networks in Chile (n = 343)a.

From: Socioeconomic position and cancer stage at diagnosis in a fragmented Latin American health system

Variables

Crude model

Model 1b

Model 2c

Model 3d

OR (95%CI)

OR (95%CI)

OR (95%CI)

OR (95%CI)

Education level

Medium/High

Ref

Ref

Ref

Ref

Low

1.46 (0.95–2.27)

1.36 (0.86–2.14)

1.42 (0.89–2.28)

1.52 (0.94–2.46)

Income per month

>510 USD

Ref

Ref

Ref

Ref

Without formal income

2.22 (1.09–4.52)*

2.32 (1.13–4.77)*

2.14 (1.02–4.53)*

1.93 (0.90–4.14)

≤ 510 USD

0.88 (0.54–1.45)

0.82 (0.49–1.37)

0.81 (0.48–1.37)

0.76 (0.44–1.30)

Head of household status

Yes

Ref

Ref

Ref

Ref

No

1.70 (1.08–2.68)*

1.99 (1.24–3.22)*

1.83 (1.11–3.02)*

1.77 (1.07–2.96)*

  1. OR = Odds ratio; CI = Confidence interval; USD = United States Dollar.
  2. Significant values are in bold.
  3. a The odds ratios for late-stage cancer diagnosis were reported.
  4. b With each SEP variables adjusted for gender and age.
  5. c With each SEP variables adjusted for all covariates (age, gender, family size, comorbidities and type of cancer).
  6. d With all SEP variables adjusted for all covariates (age, gender, family size, comorbidities and type of cancer).
  7. *p-value < 0.05.
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