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Re: Operationalizing Menopausal Status [message #30296 is a reply to message #30275] Wed, 30 October 2024 10:52 Go to previous messageGo to previous message
ANWER is currently offline  ANWER
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Registered: October 2024
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Hi Tom, thank you very much for your response.

I understand you mean women belonging to 995 in V226 are truly menopausal as they had their last menstruation before their last births and they were past the interval for postpartum amenorrhea. This clarifies the first part of our queries (though there is an issue that I will get back to you later).

The next problem is how we determine women's age at menopause as our interest is not only determining their menopausal status (binary outcome). You will agree with us that this is straightforward using our formulae: V226_age = (V012 - V226/12), given that we exclude special responses (994, 995, 996, and 997) from the sample. But, what do you suggest we do if we are to determine the age at menopause of these women belonging to special categories in V226? This is particularly important because these women comprise a significant share of samples in SA/SEA countries, so excluding them would bias the prevalence (of premature and early menopause) estimates. Is there any way that the original variable V215 might be helpful in this regard?

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