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Table 1 Categories and operational definition of independent variables

From: Prognostic factors of time to first abortion after sexual debut among fragile state Congolese women: a survival analysis

 

Variables

Definitions/categories

1

Age (in years)

Age of the respondent (15–19, 20–24, 25–29, 30–34, 35–39, 40–44, 45–49)

2

Geographical region

This is the region of residence for a respondent (Kouilou, Niari, Lekoumou, Bouenza, Pool, Plateaux, Cuvette, Cuvette-Ouest, Sangha, Likouala, Brazzaville, Pointe-Noire)

3

Residential status

Area of residence (urban, rural)

4

Wealth quintilesa

Economic/wealth status of the household (poorest, poorer, middle, richer, richest)

5

Health insurance coverage

Insured, uninsured

6

Marital status

Never in union, currently in union/living with a man, formerly in union/lived with a man

7

Exposure to media

This was generated from whether a respondent used any of newspaper/magazine, radio or television (yes, no)

8

Education

Respondent’s formal level of education/schooling (no formal education, primary, secondary/higher (secondary+)

9.

Religion

Protestant/Catholic, Islam, Spiritual

10

Ever used anything or tried to delay or avoid getting pregnant

The history of contraceptive use was measured dichotomously (yes, no)

11

Parity

Total number of children ever born (nil, 1–3, 4+)

12

Age (in years) at first birth

Age of a respondent when she had her first child (no birth, < 20, 20–24, 25+)

13

Age (in years) at first union/marriage

Age of a respondent when she entered a union/marriage (not married, < 20, 20–24, 25+)

14

Age at first sexual intercourse

Age of a respondent at sexual debut (< 18, 18+, at first union)

15

Total lifetime number of sex partners

Total number of men that a women had sexual relationship with (1–2, 3–4, 5+)

  1. aFor the calculation of household wealth status, household assets such as ownership of television, radio, bicycle possessed by the household and housing quality such as type of floor, wall and roof were taken into consideration. Each item is assigned a factor score generated through principal component analysis which are then summed and standardized for the households. These standardised scores places the households in a continuous scale based on relative wealth scores. The scores thus obtained from a continuous scale are subsequently categorised into quintiles to rank the household as poorest/poorer/middle/richer/richest to richest [29]