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. Author manuscript; available in PMC: 2017 Sep 10.
Published in final edited form as: Public Health Genomics. 2016 Sep 10;19(5):298–306. doi: 10.1159/000448914

Table 3.

Certain demographic variables significantly effect the ability of participants to provide an accurate self-report of sickle cell status.

Effect Odds Ratio 95% Confidence Limits
Gender: Female vs. Male * 0.442 (0.369–0.53)
Age: ≥35 vs. 25–34.9 * 0.813 (0.677–0.977)
16–24.9 vs. 25–34.9 1.238 (0.989–1.548)
Marital status: Married vs. Single 0.675 (0.453–1.006)
Separated vs. Single 1.646 (0.389–6.972)
Household size: 3–6 vs. ≥7 * 0.78 (0.626–0.973)
≤2 vs. ≥7 * 0.699 (0.527–0.929)
Employment: Full-Time vs. Unemployed * 0.765 (0.637–0.919)
Part-Time vs. Unemployed 0.945 (0.772–1.157)
Education: None/Primary vs. Tertiary * 4.033 (3.124–5.207)
Secondary vs. Tertiary * 1.913 (1.506–2.43)
Area: Rural vs. Urban * 1.738 (1.455–2.075)
Distance to healthcare
facility:
0–5km vs. 5–10 km 1.052 (0.886–1.248)
10–15 km vs. 5–10 km 1.028 (0.83–1.273)
≥15 km vs. 5–10 km 0.962 (0.736–1.258)

Logistic analysis with Fisher’s scoring was used to determine the odds ratio for the difference in the risk of participants providing an inaccurate self-report or of being unable to provide a sickle cell status self-report vs. providing an accurate self-report. Odds ratio <1 indicates lower risk of providing an inaccurate self-report or of failing to provide a self-report.

(*)

Significant difference between the compared demographic groups’ ability to provide an accurate self-report of sickle cell status.