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. 2016 Mar 2;94(3):650–658. doi: 10.4269/ajtmh.15-0554

Table 2.

Agreement between indicators of SEP in 100 households in Nagongera, Uganda

Indicator All tertiles (%) Wealth Index I (reference)* (%)
Poorest Middle Highest P
Indicators at the level of the household N = 35 N = 32 N = 33
Wealth index Wealth Index II (%) Poorest tertile 34 91.4 6.3 0.0 < 0.001
Middle tertile 34 8.6 75.0 21.2
Highest tertile 32 0.0 18.8 78.8
Wealth Index II Mean score (95% CI) −0.9 (−0.9, −0.8) −0.1 (−0.3, 0.0) 1.0 (0.7, 1.4) < 0.001
Income Total income from agriculture in the past 12 months, UGX (%) < 100,000 37 51.4 40.6 18.8 0.001
100,000 to < 300,000 35 37.1 40.6 28.1
≥ 300,000 27 11.4 18.8 53.1
Remittances received in the past 12 months (%) No 85 94.3 87.5 72.7 0.04
Yes 15 5.7 12.5 27.3
Occupation Main occupation of the household head (%) Agriculture or unskilled 72 80.0 78.1 57.6 0.08
Skilled 28 20.0 21.9 42.4
Main source of household income (%) Agriculture or unskilled 80 85.7 84.4 69.7 0.27
Skilled 16 11.4 15.6 21.2
Remittances or other 4 2.9 0.0 9.1
Indicator at the level of the child N = 110 N = 107 N = 101
Education Female caregiver ever attended school (%) No 24.9 29.9 21.9 22.5 0.33
Yes 75.1 70.1 78.1 77.6
Female caregiver's highest level of school completed (%) None 24.9 29.9 21.9 22.5 0.003
Incomplete primary 55.2 62.6 52.1 50.0
Primary or higher 19.9 7.5 26.0 27.6

SEP = socioeconomic position; UGX = Ugandan shilling.

*

Wealth Index I: variables entered into principal component analysis (PCA): ownership of a 1) radio, 2) mobile telephone, 3) table, 4) cupboard, 5) clock, and 6) sofa; 7) people per sleeping room; 8) access to a toilet facility; and 9) main mode of transport to the health facility.

Wealth Index II: variables entered into PCA were those included in Wealth Index I in addition to: 10) main roof material, 11) main wall material, 12) main floor material, 13) meat consumption, and 14) number of meals per day.

Standardized wealth index scores were created by subtracting mean index scores and dividing by the standard deviation. The P value for this variable was calculated using analysis of variance.