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Studying social media language changes associated with pregnancy status, trimester, and parity from medical records
- Source :
- Women's Health, Vol 16 (2020), Women's Health
- Publication Year :
- 2020
- Publisher :
- SAGE Publishing, 2020.
-
Abstract
- We sought to evaluate whether there was variability in language used on social media across different time points of pregnancy (before, during, and after pregnancy, as well as by trimester and parity). Consenting patients shared access to their individual Facebook posts and electronic medical records. Random forest models trained on Facebook posts could differentiate first trimester of pregnancy from 3 months before pregnancy (F1 score = .63) and from a random 3-month time period (F1 score = .64). Posts during pregnancy were more likely to include themes about family (β = .22), food craving (β = .14), and date/times (β = .13), while posts 3 months prior to pregnancy included themes about social life (β = .30), sleep (β = .31), and curse words (β = .27), and 3 months post-pregnancy included themes of gratitude (β = .17), health appointments (β = .21), and religiosity (β = .18). Users who were pregnant for the first time were more likely to post about lack of sleep (β = .15), activities of daily living (β = .09), and communication (β = .08) compared with those who were pregnant after having a child who posted about others’ birthdays (β = .16) and life events (.12). A better understanding about social media timelines can provide insight into lifestyle choices that are specific to pregnancy.
- Subjects :
- Adult
medicine.medical_specialty
Facebook
020205 medical informatics
Short Communication
social media
education
trimester
lcsh:Medicine
02 engineering and technology
Medical Records
Young Adult
03 medical and health sciences
0302 clinical medicine
Pregnancy
Activities of Daily Living
0202 electrical engineering, electronic engineering, information engineering
medicine
Humans
Social media
030212 general & internal medicine
Life Style
language
business.industry
Medical record
lcsh:R
General Medicine
Pregnancy Status
medicine.disease
Parity
machine learning
Family medicine
Female
Pregnancy Trimesters
business
Parity (mathematics)
Subjects
Details
- Language :
- English
- ISSN :
- 17455065
- Volume :
- 16
- Database :
- OpenAIRE
- Journal :
- Women's Health
- Accession number :
- edsair.doi.dedup.....0f490676e4df064cb5ea49d3861ddbb8