Studying social media language changes associated with pregnancy status, trimester, and parity from medical records

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 record...

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Main Authors: Sharath Chandra Guntuku, Jessica S Gaulton, Emily K Seltzer, David A Asch, Sindhu K Srinivas, Lyle H Ungar, Christina Mancheno, Elissa V Klinger, Raina M Merchant
Format: Article
Language:English
Published: SAGE Publishing 2020-10-01
Series:Women's Health
Online Access:https://doi.org/10.1177/1745506520949392
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author Sharath Chandra Guntuku
Jessica S Gaulton
Emily K Seltzer
David A Asch
Sindhu K Srinivas
Lyle H Ungar
Christina Mancheno
Elissa V Klinger
Raina M Merchant
author_facet Sharath Chandra Guntuku
Jessica S Gaulton
Emily K Seltzer
David A Asch
Sindhu K Srinivas
Lyle H Ungar
Christina Mancheno
Elissa V Klinger
Raina M Merchant
author_sort Sharath Chandra Guntuku
collection DOAJ
description 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.
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spelling doaj.art-12287e0879d3476fabdaca9067f48d242022-12-21T19:28:31ZengSAGE PublishingWomen's Health1745-50652020-10-011610.1177/1745506520949392Studying social media language changes associated with pregnancy status, trimester, and parity from medical recordsSharath Chandra Guntuku0Jessica S Gaulton1Emily K Seltzer2David A Asch3Sindhu K Srinivas4Lyle H Ungar5Christina Mancheno6Elissa V Klinger7Raina M Merchant8Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA, USADepartment of Emergency Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USAPenn Medicine Center for Health Care Innovation, University of Pennsylvania, Philadelphia, PA, USAPenn Medicine Center for Health Care Innovation, University of Pennsylvania, Philadelphia, PA, USADepartment of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USAPositive Psychology Center, University of Pennsylvania, Philadelphia, PA, USAPenn Medicine Center for Digital Health, University of Pennsylvania, Philadelphia, PA, USAPenn Medicine Center for Health Care Innovation, University of Pennsylvania, Philadelphia, PA, USAPenn Medicine Center for Health Care Innovation, University of Pennsylvania, Philadelphia, PA, USAWe 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.https://doi.org/10.1177/1745506520949392
spellingShingle Sharath Chandra Guntuku
Jessica S Gaulton
Emily K Seltzer
David A Asch
Sindhu K Srinivas
Lyle H Ungar
Christina Mancheno
Elissa V Klinger
Raina M Merchant
Studying social media language changes associated with pregnancy status, trimester, and parity from medical records
Women's Health
title Studying social media language changes associated with pregnancy status, trimester, and parity from medical records
title_full Studying social media language changes associated with pregnancy status, trimester, and parity from medical records
title_fullStr Studying social media language changes associated with pregnancy status, trimester, and parity from medical records
title_full_unstemmed Studying social media language changes associated with pregnancy status, trimester, and parity from medical records
title_short Studying social media language changes associated with pregnancy status, trimester, and parity from medical records
title_sort studying social media language changes associated with pregnancy status trimester and parity from medical records
url https://doi.org/10.1177/1745506520949392
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