| Individual level variables |
| Age Group |
Current age of the women and re-coded in to two categories with values of “0” for 15–19, “1” for 20–24. |
| Religion |
Re-coded in four categories with a value of “0” for Muslim, “1” for Orthodox, “2” for protestant, and “3” for other religious groups (combining catholic, traditional and the other religious categories as most young women in this category are small in number). |
| Wealth Index |
The datasets contained wealth index that was created using principal components analysis coded as “poorest”, “poorer”, “Middle”, “Richer”, and “Richest in the EDHS data set.” For this study we recoded it in to three categories as “poor” (includes the poorest and the poorer categories), “middle”, and “rich” (includes the richer and the richest categories) |
| Occupation |
Re-coded in two categories with a value of “0” for not working, and “1” for working. |
| Distance to health facility |
The variable distance to health facility recorded as a big problem and not a big problem in the dataset was retained without change, which is respondents’ perception during the survey whether they perceived the distance from the health facility to get self-medical help as a big problem or not. |
| Media exposure |
A composite variable obtained by combining whether a respondent reads newspaper/magazine, listen to radio, and watch television with a value of “0” if women were not exposed to at least one of the three media, and “1” if a woman has access/exposure to at least one of the three media. |
| Educational status |
This is the minimum educational level a woman achieved and re-coded into three groups with a value of “0” for no education, “1” for primary education, and “2” for secondary and above (combining secondary and higher education categories together). |
| Marital status |
This was the current marital status of women and recoded in two categories with a value of “0” for unmarried (includes those who were never in union, divorced, widowed, and separated), and “1” for “married” (includes those living with a partner and those who are married) |
| Type of toilet facility |
Recoded into two categories as “unimproved “includes and “improved”, using the DHS guide. |
| Source of drinking water |
By using the DHS guide it was recoded into two categories as “unimproved” and “improved source” |
| Sex of household |
The variable sex of household head was recorded as male and female in the dataset and we used without change. |
| Modern contraceptive |
Recoded into two categories with a value of 0 for “no” if a woman doesn’t use any of the modern contraceptive methods, and 1 for “Yes” if a women use any of the modern contraceptive methods. of either of or combination of the following methods (female sterilization, male sterilization, contraceptive pill, intrauterine contraceptive device, injectables, implants, female condom, male condom, diaphragm, contraceptive foam and contraceptive jelly, lactational amenorrhea method, standard days method, and respondent-mentioned other modern contraceptive methods (including cervical cap, contraceptive sponge,)) |
| Family size |
Recoded in to two categories as 1–5, and greater than 5. |
| Body mass index |
Re-coded in to three categories with values of 0 for underweight (<18.5Kg/m2), 1 for normal (18.5 to 24.9 Kg/m2), and 2 for overweight (>25Kg/m2). |
| Community-level variables |
| Community poverty level |
Measured by proportion of households in the poor (combination of poorer and poorest) wealth quintile derived from data on wealth index. Then it was categorized based on national median value as: low (communities in which <50% of women had poor socioeconomic status) and high (communities in which ≥50% of women had poor socioeconomic status) poverty level. |
| Type of place of residence |
The variable place of residence recorded as rural and urban in the dataset was used without change. |
| Region |
The variable region was corded in to 11 categories in the dataset and we was retained without change. |
