Exact(2)
The first binary outcome was created from two questions examining spousal communication (a) Have you ever discussed how many children to have with your husband?
A binary outcome was created, where participants who responded 'almost never' to 'very often' (2 5 on scale) to either of these questions were considered to have smoking in the home 3 months after childbirth, and participants who responded 'never' to have a smoke-free home.
Similar(58)
A binary physical activity outcome was created indicating whether the participant met the current U.S. physical activity recommendation of 500 MET minutes/week of activity via walking (i.e., equivalent to 150 minutes/week of moderate-intensity activity) [ 1].
A binary outcome variable was created for acceptance of wife-beating, coded as "0" if the respondent did not agree that a husband is justified in beating his wife in any of the situations and coded as "1" if the respondent agreed in at least one situation.
A binary outcome variable was created for knowledge and attitude toward sexual violence.
A binary outcome variable was created by designating the upper 50% of scores as good performance and the lower 50% of scores as poor performance.
A binary outcome variable was created that categorised a health centre as having 'lower regular attendance' if more than 3% of patients did not attend within the previous six months.
A binary outcome variable was created for acceptance of IPVAW, coded as '0' if the respondent did not agree with any of the situations when a husband is justified in beating the wife or did not have any opinion on the issue and coded as '1' if the respondent agreed with at least one situation where the husband is justified in beating the wife.
Two binary outcome variables were created: 1) resistance to at least one of the TB drugs (isoniazid, rifampicin, streptomycin or ethambutol) and 2) MDR status (an individual is MDR if resistant to both isoniazid and rifampicin).
Continuous or binary risk factors with binary outcome were also analyzed in logistic regression models.
A binary indicator was created for each lab result.
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