Beverage Consumption and Dysmenorrhea in Beijing Women, 2021

Beijing, China, is the geographic scope of this cross-sectional study of 1,247 women of reproductive age, conducted between September and November 2021. The dataset, published by Jian Zhao under a CC-BY-4.0 license, examines associations between the consumption of coffee, tea, and milk tea and the severity of primary dysmenorrhea. It reports an overall dysmenorrhea prevalence of 92.9%, with 23.1% of participants experiencing moderate-to-severe pain.

Use Cases

• Analyze associations between coffee intake and dysmenorrhea severity based on reported odds ratios.
• Investigate patterns of beverage consumption change during menstruation and their link to pain severity.
• Examine demographic and lifestyle factors related to primary dysmenorrhea in an urban Chinese population.
• Validate findings on the relationship between milk tea consumption and menstrual pain using the provided statistical measures.

Strengths

• Includes data from 1,247 participants, providing a substantial sample size for analysis.
• Reports specific prevalence figures (92.9% overall, 23.1% moderate-to-severe) and odds ratios with confidence intervals.
• Uses a validated food frequency questionnaire (FFQ) to assess beverage consumption patterns.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect geographic and temporal bias inherent to a single-city, cross-sectional study from 2021.

Provenance

Source

Part of the Multilevel Natural Population and Maternal Cohort Study, conducted in Beijing.

Collection Method

Data collected via structured and validated food frequency questionnaires from recruited participants.

Time Range

Data collected between September and November 2021.

Freshness

Last updated 2026-05-19 05:29:08; freshness should be verified.

Geography

Beijing, China.