@article{e58ee065d2c4422bbf199af3181ecd1c,
title = "Analyzing text message linguistic features: Do people with depression communicate differently with their close and non-close contacts?",
abstract = "Background: Relatively little is known about how communication changes as a function of depression severity and interpersonal closeness. We examined the linguistic features of outgoing text messages among individuals with depression and their close- and non-close contacts. Methods: 419 participants were included in this 16-week-long observational study. Participants regularly completed the PHQ-8 and rated subjective closeness to their contacts. Text messages were processed to count frequencies of word usage in the LIWC 2015 libraries. A linear mixed modeling approach was used to estimate linguistic feature scores of outgoing text messages. Results: Regardless of closeness, people with higher PHQ-8 scores tended to use more differentiation words. When texting with close contacts, individuals with higher PHQ-8 scores used more first-person singular, filler, sexual, anger, and negative emotion words. When texting with non-close contacts these participants used more conjunctions, tentative, and sadness-related words and fewer first-person plural words. Conclusion: Word classes used in text messages, when combined with symptom severity and subjective social closeness data, may be indicative of underlying interpersonal processes. These data may hold promise as potential treatment targets to address interpersonal drivers of depression.",
keywords = "Affective disorders, Digital phenotyping, Language, Mood, Personal sensing, Smartphone, Social ties",
author = "Jonah Meyerhoff and Tingting Liu and Stamatis, {Caitlin A.} and Tony Liu and Harry Wang and Yixuan Meng and Brenda Curtis and Karr, {Chris J.} and Garrick Sherman and Ungar, {Lyle H.} and Mohr, {David C.}",
note = "Funding Information: A total of 673 participants were enrolled in this study over two waves of data collection. The first wave was recruited between February 2020 and April 2020 (n = 384), spanning the beginning of the COVID-19 pandemic in the United States. The second wave was recruited between January 2021 and April (n = 289), squarely during the COVID-19 pandemic in the United States. Participants were recruited via social media, online bulletin boards, the recruitment firm Focus Pointe Global, and digital recruitment registries including ResearchMatch (a national health volunteer registry supported by the National Institutes of Health as part of the Clinical Translational Science Award [CTSA] program), and an actively maintained registry within Northwestern University's Center for Behavioral Intervention Technologies (CBITs). The CBITs registry includes individuals who have indicated an interest in participating in digital mental health trials and have completed pre-screening assessments that ensure effective targeting of recruitment calls (Lattie et al., 2018).We acknowledge support from the National Institute of Mental Health (NIMH) [Grants: R01MH111610, T32MH115882, R34MH124960, K08MH128640], the National Institute on Alcohol Abuse (NIAA) [Grants: 1R01AA028032-01], as well as support from the Intramural Research Program of the National Institutes of Health (NIH), National Institute on Drug Abuse (NIDA) [Grants:ZIA DA000628]. Co-authors BC, TL, and GS are affiliated with NIDA and contributed to this manuscript by conducting analyses, interpreting data, writing contributions, and revisions. The NIMH and NIAA were not involved in the design, conduct, analysis, or writeup of this research. Funding Information: We acknowledge support from the National Institute of Mental Health ( NIMH ) [Grants: R01MH111610 , T32MH115882 , R34MH124960 , K08MH128640 ], the National Institute on Alcohol Abuse ( NIAA ) [Grants: 1R01AA028032-01 ], as well as support from the Intramural Research Program of the National Institutes of Health ( NIH ), National Institute on Drug Abuse ( NIDA ) [Grants: ZIA DA000628 ]. Co-authors BC, TL, and GS are affiliated with NIDA and contributed to this manuscript by conducting analyses, interpreting data, writing contributions, and revisions. The NIMH and NIAA were not involved in the design, conduct, analysis, or writeup of this research. Publisher Copyright: {\textcopyright} 2023 Elsevier Ltd",
year = "2023",
month = jul,
doi = "10.1016/j.brat.2023.104342",
language = "English (US)",
volume = "166",
journal = "Behaviour Research and Therapy",
issn = "0005-7967",
publisher = "Elsevier Limited",
}