Dataset Information

Predicting U.S. county opioid poisoning mortality from multi-modal social media and psychological self-report data.

ABSTRACT: Opioid poisoning mortality is a substantial public health crisis in the United States, with opioids involved in approximately 75% of the nearly 1 million drug related deaths since 1999. Research suggests that the epidemic is driven by both over-prescribing and social and psychological determinants such as economic stability, hopelessness, and isolation. Hindering this research is a lack of measurements of these social and psychological constructs at fine-grained spatial and temporal resolutions. To address this issue, we use a multi-modal data set consisting of natural language from Twitter, psychometric self-reports of depression and well-being, and traditional area-based measures of socio-demographics and health-related risk factors. Unlike previous work using social media data, we do not rely on opioid or substance related keywords to track community poisonings. Instead, we leverage a large, open vocabulary of thousands of words in order to fully characterize communities suffering from opioid poisoning, using a sample of 1.5 billion tweets from 6 million U.S. county mapped Twitter users. Results show that Twitter language predicted opioid poisoning mortality better than factors relating to socio-demographics, access to healthcare, physical pain, and psychological well-being. Additionally, risk factors revealed by the Twitter language analysis included negative emotions, discussions of long work hours, and boredom, whereas protective factors included resilience, travel/leisure, and positive emotions, dovetailing with results from the psychometric self-report data. The results show that natural language from public social media can be used as a surveillance tool for both predicting community opioid poisonings and understanding the dynamic social and psychological nature of the epidemic.

SUBMITTER: Giorgi S

PROVIDER: S-EPMC10238775 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Predicting U.S. county opioid poisoning mortality from multi-modal social media and psychological self-report data.

Giorgi Salvatore S Yaden David B DB Eichstaedt Johannes C JC Ungar Lyle H LH Schwartz H Andrew HA Kwarteng Amy A Curtis Brenda B

Scientific reports 20230603 1

Opioid poisoning mortality is a substantial public health crisis in the United States, with opioids involved in approximately 75% of the nearly 1 million drug related deaths since 1999. Research suggests that the epidemic is driven by both over-prescribing and social and psychological determinants such as economic stability, hopelessness, and isolation. Hindering this research is a lack of measurements of these social and psychological constructs at fine-grained spatial and temporal resolutions. ...[more]

PMID: 37270657

Similar Datasets

Project description:IntroductionThe rise of social media users and the explosive growth in misinformation shared across social media platforms have become a serious threat to democratic discourse and public health. The mentioned implications have increased the demand for misinformation detection and intervention. To contribute to this challenge, we are presenting a systematic scoping review of psychological interventions countering misinformation in social media. The review was conducted to (i) identify and map evidence on psychological interventions countering misinformation, (ii) compare the viability of the interventions on social media, and (iii) provide guidelines for the development of effective interventions.MethodsA systematic search in three bibliographic databases (PubMed, Embase, and Scopus) and additional searches in Google Scholar and reference lists were conducted.Results3,561 records were identified, 75 of which met the eligibility criteria for the inclusion in the final review. The psychological interventions identified during the review can be classified into three categories distinguished by Kozyreva et al.: Boosting, Technocognition, and Nudging, and then into 15 types within these. Most of the studied interventions were not implemented and tested in a real social media environment but under strictly controlled settings or online crowdsourcing platforms. The presented feasibility assessment of implementation insights expressed qualitatively and with numerical scoring could guide the development of future interventions that can be successfully implemented on social media platforms.DiscussionThe review provides the basis for further research on psychological interventions counteracting misinformation. Future research on interventions should aim to combine effective Technocognition and Nudging in the user experience of online services.Systematic review registration[https://figshare.com/], identifier [https://doi.org/10.6084/m9.figshare.14649432.v2].

Project description:INTRODUCTION:Schools are in a unique position to meet the mental and behavioral health needs of children and adolescents because approximately 95% of young people aged 7-17 years attend school. Little is known, however, about policies related to counseling, psychological, and social services staffing in school districts. This study analyzed the prevalence of such policies in public school districts in the U.S. METHODS:Data from four cycles (2000, 2006, 2012, and 2016) of the School Health Policies and Practices Study, a national survey periodically conducted to assess policies and practices for ten components of school health, were analyzed in 2017. The survey collected data related to counseling, psychological, and social services among nationally representative samples of school districts using online or mailed questionnaires. Sampled districts identified respondents responsible for or most knowledgeable about the content of each questionnaire. RESULTS:The percentage of districts with a district-level counseling, psychological, and social services coordinator increased significantly from 62.6% in 2000 to 79.5% in 2016. In 2016, 56.3% of districts required each school to have someone to coordinate counseling, psychological, and social services at the school. Fewer districts required schools at each level to have a specified ratio of counselors to students (16.2% for elementary schools, 16.8% for middle schools, and 19.8% for high schools), and the percentage of districts with these requirements has decreased significantly since 2012. CONCLUSIONS:Increases in the prevalence of district-level staffing policies could help increase the quantity and quality of counseling, psychological, and social services staff in schools nationwide, which in turn could improve mental and behavioral health outcomes for students. SUPPLEMENT INFORMATION:This article is part of a supplement entitled The Behavioral Health Workforce: Planning, Practice, and Preparation, which is sponsored by the Substance Abuse and Mental Health Services Administration and the Health Resources and Services Administration of the U.S. Department of Health and Human Services.

Dataset Information

Predicting U.S. county opioid poisoning mortality from multi-modal social media and psychological self-report data.

Publications

Predicting U.S. county opioid poisoning mortality from multi-modal social media and psychological self-report data.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets