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Congruencies and incongruities of statements in the AD as compared to interview were categorized as either non-specific or specific.
Women aged >40 years fulfilling the criteria of no menstrual bleeding for at least 1 year prior to the interview were categorized as being natural menopausal.
Women who responded in the affirmative to the question 'Since the previous interview have you been pregnant?' or to the question 'Are you currently pregnant?' at either follow-up interview were categorized as having an incident pregnancy.
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Maternal age at the time of interview was categorized as follows: 18 20, 20 29, 30 34, and ≥35 years.
Age at the time of interview was categorized into the following groups (with consideration of the 8-year intervals between measurements) to measure time trends: 53 60, 61 68, 69 76, and 77 84 years.
Statements collected from the literature and the interviews were categorized according to these themes.
Individual phrases within respondent interviews were categorized using open coding.
Responses from all the interviews were categorized into demand and supply issues.
The transcriptions of the interviews were categorized in the clusters of the DISC-mode and quotations were labeled due to the cluster it referred to.
Notes from the interviews were categorized into two types of implementation: 1) use of critical appraisal skills; 2) activation of participants to take part in health care decision making.
The variables obtained through interviews were categorized as follows: age (<60 years and ≥60 years); skin colour (white/others and black); employment status (employed/housewives and retired/unemployed); and years of education (<8 years and ≥8 years).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com