From: Factors associated with non-use of insecticide-treated bed nets among pregnant women in Zambia
Explanatory variables | Code in the original data set | How the variable is coded/used in this study |
---|---|---|
ITN per household member | N/A | ITN per household member is a derived variable calculated by dividing the number of ITNs in households by number of de facto household members. Continuous (0–2) and Categorical. 0 = 0; No net 1– 0.49  = 1; Not sufficient 0.5 = 2; Sufficient > 0.5 = 3; More than sufficient |
Age | Continuous | Continuous (15–49) and categorical 15–24 = 1; 25–34 = 2; ≥35 = 3 |
Parity | Continuous | Continuous (0–12) and categorical 0 = 0; 1 = 1; 2–4 = 2; ≥5 = 3 |
Place of residence | Urban = 1; Rural = 2 | Urban = 1; Rural = 2 |
Educational attainment | No education = 0; Primary = 1; Secondary = 2; Higher = 3 | No education = 0; Primary = 1; Secondary = 2; Tertiary = 3 |
Religion | Catholic = 1; Muslim = 2; Protestant = 3; Other = 96 | Muslim and Other = 0; Catholic and Protestant = Christians = 1 |
Wealth index | Lowest = 1; Second = 2; Middle = 3; Fourth = 4; Highest = 5 | Poor (1 & 2) = 1; Middle (3) = 2; Rich (4 & 5) = 3 |
Employment status | Not working = 0; Professional/technical/managerial = 1; Clerical = 2; Sales = 3; Agricultural or self-employed = 4; Household and domestic = 5; Services = 6; Skilled manual = 7; Unskilled manual = 8 | 0 = 0 = Unemployed and 1–8 = 1 = Employed |
Marital status | Never in union = 0; Currently in union and living with a man = 1; Formerly in union and formerly lived with a man = 2 | Never in union = 0; Currently in union and living with a man = 1 = Currently in union; Formerly in union and formally lived with a man = 2 = Formerly in union |
Provinces renamed to provincial malaria categories | Central = 1; Copperbelt = 2; Eastern = 3; Luapula = 4; Lusaka = 5; Muchinga = 6; Northern = 7; North-Western = 8; Southern = 9; Western = 10 | Categorized accorded to malaria parasite prevalence [3, 34] Low malaria prevalence provinces (1, 5 & 9) = 0; Moderate malaria prevalence provinces (2, 3 & 10) = 1; High malaria prevalence (4, 6, 7 & 8) = 2 |