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Table 2 Variation of retail sector net use with homestead wealth assets index, mother's education and travel time (hours) to nearest market centres among rural children < 5 years of age in four districts in Kenya, 2004

From: Wealth, mother's education and physical access as determinants of retail sector net use in rural Kenya

 

No nets (3193) n(%)

Retail sector nets (327) n(%)

Odds ratio (OR) (95% CI)

Adjusted OR (95% CI)

Homestead wealth assets index quintile

    

   Most poor

690 (21.6)

18 (5.5)

1

1

   Very poor

716 (22.4)

34 (10.4)

0.49 (0.25–0.95)

0.48 (0.25–0.95)

   Poor

679 (21.3)

57 (17.4)

0.78 (0.51–1.21)*

0.78 (0.51–1.21)*

   Less poor

644 (20.2)

84 (25.7)

1.19 (0.80–1.78)

1.19 (0.79–1.78)

   Least poor

410 (12.8)

131(40.1)***

5.12 (3.38–7.97)***

5.30 (3.42–9.21)***

   Not determined††

54 (1.7)

3 (0.9)

-

-

Mother's education

    

   No education

760 (23.8)

47 (14.4)

1

1

   Primary incomplete

998 (31.3)

78 (23.9)

0.79 (0.55–1.14)

0.79 (0.56–1.10)

   Primary complete

820 (25.7)

94 (28.7)

1.17 (0.79–1.73)

1.21 (0.81–1.82)

   Secondary and above

582 (18.2)

107 (32.7)***

2.42 (1.64–3.57)***

2.92 (1.93–4.41)***

   Not determined‡‡

33 (1.0)

1 (0.3)

-

-

Travel time to nearest market centre (minutes)

    

   Mean (min, max)

34.8 (1.2, 158.4)

24.0 (1.2, 138.0)

  

   0–24

1745 (54.7)

220 (67.3)

1

1

   >24–48

683 (21.4)

77 (23.5)

1.32 (0.70–2.51)

1.28 (0.69–2.44)

   >48

765 (23.9)

30 (9.2)***

0.25 (0.13–0.44)***

0.18 (0.09–0.38)***

  1. *P < 0.05; ** P < 0.01; *** P < 0.001 derived from Pearson's χ2 test of proportion and univariate logistic regression
  2. † Parameter estimates (OR, CI and P-values) were obtained using logistic regression adjusted for clustering. Clusters were defined at the EA level and weighted (weight = 1/probability of selection of an EA) using STATA 8.2 (Statacorp, Inc. USA)
  3. ‡ Odds ratios and CI here have been adjusted for the effect of variation between districts
  4. †† 57 children were from 38 homesteads whose wealth assets index could not be determined using PCA because information on one or more asset indicators was missing.
  5. ‡‡ Mother's education level could not be determined for 34 children belonging to 33 mothers