Sex-disaggregated data refers to data that is collected and presented separately for different sexes, usually male and female, to analyze variations and patterns in health, economic status, education, and other social factors. This type of data is essential for understanding gender differences and addressing issues like gender bias, which can lead to inequities in scientific research and practice. By breaking down data by sex, researchers can identify specific needs, gaps, and disparities that may be overlooked when looking at aggregate data.
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