Rethinking menopause measurement: untangling the complexities in the Demographic Health Survey data
The Demographic Health Survey (DHS) data currently misclassifies women post-hysterectomy without bilateral oophorectomy, creating a bias that affects research findings, particularly when studying premature menopause. This commentary critiques this methodological flaw, which obscures crucial differen...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-07-01
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| Series: | npj Women's Health |
| Online Access: | https://doi.org/10.1038/s44294-025-00091-x |
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| _version_ | 1849332276790296576 |
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| author | Karan Babbar |
| author_facet | Karan Babbar |
| author_sort | Karan Babbar |
| collection | DOAJ |
| description | The Demographic Health Survey (DHS) data currently misclassifies women post-hysterectomy without bilateral oophorectomy, creating a bias that affects research findings, particularly when studying premature menopause. This commentary critiques this methodological flaw, which obscures crucial differences between natural and surgical menopause, ultimately skewing prevalence estimates, risk estimates, and our understanding of health consequences. I argue that including a specific question about oophorectomy status in DHS questionanires is essential for generating accurate data that can inform effective public health policy and interventions globally. |
| format | Article |
| id | doaj-art-e8ea4eba1ac64d7fae38fbe528befff8 |
| institution | Kabale University |
| issn | 2948-1716 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Women's Health |
| spelling | doaj-art-e8ea4eba1ac64d7fae38fbe528befff82025-08-20T03:46:15ZengNature Portfolionpj Women's Health2948-17162025-07-01311310.1038/s44294-025-00091-xRethinking menopause measurement: untangling the complexities in the Demographic Health Survey dataKaran Babbar0Plaksha UniversityThe Demographic Health Survey (DHS) data currently misclassifies women post-hysterectomy without bilateral oophorectomy, creating a bias that affects research findings, particularly when studying premature menopause. This commentary critiques this methodological flaw, which obscures crucial differences between natural and surgical menopause, ultimately skewing prevalence estimates, risk estimates, and our understanding of health consequences. I argue that including a specific question about oophorectomy status in DHS questionanires is essential for generating accurate data that can inform effective public health policy and interventions globally.https://doi.org/10.1038/s44294-025-00091-x |
| spellingShingle | Karan Babbar Rethinking menopause measurement: untangling the complexities in the Demographic Health Survey data npj Women's Health |
| title | Rethinking menopause measurement: untangling the complexities in the Demographic Health Survey data |
| title_full | Rethinking menopause measurement: untangling the complexities in the Demographic Health Survey data |
| title_fullStr | Rethinking menopause measurement: untangling the complexities in the Demographic Health Survey data |
| title_full_unstemmed | Rethinking menopause measurement: untangling the complexities in the Demographic Health Survey data |
| title_short | Rethinking menopause measurement: untangling the complexities in the Demographic Health Survey data |
| title_sort | rethinking menopause measurement untangling the complexities in the demographic health survey data |
| url | https://doi.org/10.1038/s44294-025-00091-x |
| work_keys_str_mv | AT karanbabbar rethinkingmenopausemeasurementuntanglingthecomplexitiesinthedemographichealthsurveydata |