Brenda Curtis, Ph.D., M.S.P.H.

@article{fishercovid,

title = {COVID-Related Victimization, Racial Bias and Employment and Housing Disruption Increase Mental Health Risk Among US Asian, Black and Latinx Adults},

author = {Celia B Fisher and Xiangyu Tao and Tingting Liu and Salvatore Giorgi and Brenda L Curtis},

year  = {2022},

date = {2022-10-29},

journal = {Frontiers in Public Health},

pages = {1625},

publisher = {Frontiers},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bragard2022dialydiary,

title = {Daily diary study of loneliness, alcohol, and drug use during the COVID-19 Pandemic},

author = {Elise Bragard and Salvatore Giorgi and Paul Juneau and Brenda L. Curtis},

url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/acer.14889},

doi = {https://doi.org/10.1111/acer.14889},

year  = {2022},

date = {2022-10-26},

urldate = {2022-10-26},

journal = {Alcoholism: Clinical and Experimental Research},

volume = {n/a},

number = {n/a},

abstract = {Abstract Background Research conducted during the COVID-19 Pandemic has identified two co-occurring public health concerns: loneliness and substance use. Findings from research conducted prior to the pandemic are inconclusive as to the links between loneliness and substance use. This study aimed to measure associations of loneliness with three different types of substance use during COVID-19: daily number of alcoholic drinks, cannabis use, and non-cannabis drug use. Method Data were obtained between October 2020 and May 2021 from 2,648 US adults (Mage = 38.76, 65.4% women) diverse with respect to race and ethnicity using online recruitment. Participants completed baseline surveys and daily assessments for 30 days. A daily loneliness measure was recoded into separate within- and between-person predictor variables. Daily outcome measures included the number of alcoholic drinks consumed and dichotomous cannabis and non-cannabis drug use variables. Generalized linear multilevel models (GLMLM) were used to examine within- and between-person associations between loneliness and substance use. Results The unconditional means model indicated that 59.0% of the variance in the daily number of alcoholic drinks was due to within-person variability. GLMLM analyses revealed that, overall, people drank more on days when they felt a particularly high or particularly low degree of loneliness (positive quadratic effect). There was a negative and significant within-person association between daily loneliness and the likelihood of cannabis use. There was also a positive and significant within-person association between daily loneliness and the likelihood of non-cannabis drug use. Conclusions Associations between loneliness and substance use vary with substance type and whether within- or between-person differences are assessed. These findings are relevant to the persistence of substance use disorders and thus of potential clinical importance. Individuals who do not experience severe loneliness at intake but who show daily increases in loneliness above baseline levels are at heightened risk of alcohol and non-cannabis drug use. Future research could profitably examine just-in-time adaptive interventions that assess fluctuations in loneliness to prevent the development or exacerbation of substance use disorders.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Liu:2022aa,

title = {Head versus heart: social media reveals differential language of loneliness from depression},

author = {Tingting Liu and Lyle H. Ungar and Brenda Curtis and Garrick Sherman and Kenna Yadeta and Louis Tay and Johannes C. Eichstaedt and Sharath Chandra Guntuku},

url = {https://doi.org/10.1038/s44184-022-00014-7},

doi = {10.1038/s44184-022-00014-7},

isbn = {2731-4251},

year  = {2022},

date = {2022-10-18},

urldate = {2022-10-18},

journal = {npj Mental Health Research},

volume = {1},

number = {1},

pages = {16},

abstract = {We study the language differentially associated with loneliness and depression using 3.4-million Facebook posts from 2986 individuals, and uncover the statistical associations of survey-based depression and loneliness with both dictionary-based (Linguistic Inquiry Word Count 2015) and open-vocabulary linguistic features (words, phrases, and topics). Loneliness and depression were found to have highly overlapping language profiles, including sickness, pain, and negative emotions as (cross-sectional) risk factors, and social relationships and activities as protective factors. Compared to depression, the language associated with loneliness reflects a stronger cognitive focus, including more references to cognitive processes (i.e., differentiation and tentative language, thoughts, and the observation of irregularities), and cognitive activities like reading and writing. As might be expected, less lonely users were more likely to reference social relationships (e.g., friends and family, romantic relationships), and use first-person plural pronouns. Our findings suggest that the mechanisms of loneliness include self-oriented cognitive activities (i.e., reading) and an overattention to the interpretation of information in the environment. These data-driven ecological findings suggest interventions for loneliness that target maladaptive social cognitions (e.g., through reframing the perception of social environments), strengthen social relationships, and treat other affective distress (i.e., depression).},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{giorgi2022twitter,

title = {Twitter Corpus of the #BlackLivesMatter Movement and Counter Protests: 2013 to 2021},

author = {Salvatore Giorgi and Sharath Chandra Guntuku and Mckenzie Himelein-Wachowiak and Amy Kwarteng and Sy Hwang and Muhammad Rahman and Brenda Curtis},

url = {https://ojs.aaai.org/index.php/ICWSM/article/view/19373},

year  = {2022},

date = {2022-05-01},

urldate = {2022-05-01},

journal = {Proceedings of the International AAAI Conference on Web and Social Media},

volume = {16},

number = {1},

pages = {1228-1235},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bragard2021loneliness,

title = {Loneliness and Daily Alcohol Consumption During the COVID-19 Pandemic},

author = {Elise Bragard and Salvatore Giorgi and Paul Juneau and Brenda L Curtis},

year  = {2022},

date = {2022-03-01},

journal = {Alcohol and Alcoholism},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{devoto2022women,

title = {Women's Substance Use and Mental Health During the COVID-19 Pandemic},

author = {Amanda Devoto and McKenzie Himelein-Wachowiak and Tingting Liu and Brenda Curtis},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {Women's Health Issues},

publisher = {Elsevier},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{himeleinwachowiak2022getting,

title = {Getting 'clean' from nonsuicidal self-injury: Experiences of addiction on the subreddit r/selfharm},

author = {McKenzie "Himelein-Wachowiak and Salvatore Giorgi and Amy Kwarteng and Destiny Schriefer and Chase Smitterberg and Kenna Yadeta and Elise Bragard and Amanda Devoto and Lyle Ungar and Brenda" Curtis},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {Journal of Behavioral Addictions},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{jose2022using,

title = {Using Facebook language to predict and describe excessive alcohol use},

author = {Rupa Jose and Matthew Matero and Garrick Sherman and Brenda Curtis and Salvatore Giorgi and Hansen Andrew Schwartz and Lyle H. Ungar},

url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/acer.14807},

doi = {https://doi.org/10.1111/acer.14807},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {Alcoholism: Clinical and Experimental Research},

volume = {46},

number = {5},

pages = {836-847},

abstract = {Abstract Background Assessing risk for excessive alcohol use is important for applications ranging from recruitment into research studies to targeted public health messaging. Social media language provides an ecologically embedded source of information for assessing individuals who may be at risk for harmful drinking. Methods Using data collected on 3664 respondents from the general population, we examine how accurately language used on social media classifies individuals as at-risk for alcohol problems based on Alcohol Use Disorder Identification Test-Consumption score benchmarks. Results We find that social media language is moderately accurate (area under the curve = 0.75) at identifying individuals at risk for alcohol problems (i.e., hazardous drinking/alcohol use disorders) when used with models based on contextual word embeddings. High-risk alcohol use was predicted by individuals' usage of words related to alcohol, partying, informal expressions, swearing, and anger. Low-risk alcohol use was predicted by individuals' usage of social, affiliative, and faith-based words. Conclusions The use of social media data to study drinking behavior in the general public is promising and could eventually support primary and secondary prevention efforts among Americans whose at-risk drinking may have otherwise gone ``under the radar.''},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{liu2022linguistic,

title = {Linguistic predictors from Facebook postings of substance use disorder treatment retention versus discontinuation},

author = {Tingting Liu and Salvatore Giorgi and Kenna Yadeta and H Andrew Schwartz and Lyle H Ungar and Brenda Curtis},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {The American Journal of Drug and Alcohol Abuse},

pages = {1--13},

publisher = {Taylor & Francis},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{himeleinwachowiak2021covid,

title = {Bots and Misinformation Spread on Social Media: Implications for COVID-19},

author = {McKenzie Himelein-Wachowiak and Salvatore Giorgi and Amanda Devoto and Muhammad Rahman and Lyle Ungar and H Andrew Schwartz and David H Epstein and Lorenzo Leggio and Brenda Curtis},

url = {http://www.ncbi.nlm.nih.gov/pubmed/33882014},

doi = {10.2196/26933},

issn = {1438-8871},

year  = {2021},

date = {2021-05-20},

urldate = {2021-05-20},

journal = {J Med Internet Res},

volume = {23},

number = {5},

pages = {e26933},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{panlilio2021beyond,

title = {Beyond abstinence and relapse II: momentary relationships between stress, craving, and lapse within clusters of patients with similar patterns of drug use},

author = {Leigh V Panlilio and Samuel W Stull and Jeremiah W Bertz and Albert J Burgess-Hull and Stephanie T Lanza and Brenda L Curtis and Karran A Phillips and David H Epstein and Kenzie L Preston},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {Psychopharmacology},

volume = {238},

number = {6},

pages = {1513--1529},

publisher = {Springer},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{delgado2021accuracy,

title = {Accuracy of Consumer-marketed smartphone-paired alcohol breath testing devices: A laboratory validation study},

author = {Mucio Kit Delgado and Frances Shofer and Reagan Wetherill and Brenda Curtis and Jessica Hemmons and Evan Spencer and Charles Branas and Douglas J Wiebe and Henry R Kranzler},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {Alcoholism: Clinical and Experimental Research},

volume = {45},

number = {5},

pages = {1091--1099},

publisher = {Wiley Online Library},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{moon2021alcohol,

title = {Alcohol-Associated Liver Disease Before and After COVID-19---An Overview and Call for Ongoing Investigation},

author = {Andrew M Moon and Brenda Curtis and Pranoti Mandrekar and Ashwani K Singal and Elizabeth C Verna and Oren K Fix},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {Hepatology communications},

volume = {5},

number = {9},

pages = {1616--1621},

publisher = {Wiley Online Library},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kwarteng2021child,

title = {Child reward neurocircuitry and parental substance use history: Findings from the Adolescent Brain Cognitive Development Study},

author = {Amy E Kwarteng and Muhammad M Rahman and Dylan G Gee and M Alejandra Infante and Susan F Tapert and Brenda L Curtis},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {Addictive Behaviors},

volume = {122},

pages = {107034},

publisher = {Elsevier},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{mckay2021efficacy,

title = {Efficacy and comparative effectiveness of telephone and smartphone remote continuing care interventions for alcohol use disorder: a randomized controlled trial},

author = {James R McKay and David H Gustafson and Megan Ivey and Klaren Pe-Romashko and Brenda Curtis and Tyrone Thomas and David W Oslin and Daniel Polsky and Andrew Quanbeck and Kevin G Lynch},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {Addiction},

publisher = {Wiley Online Library},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{shaw2021daily,

title = {A daily diary study into the effects on mental health of COVID-19 pandemic-related behaviors},

author = {Philip Shaw and Sam Blizzard and Gauri Shastri and Paul Kundzicz and Brenda Curtis and Lyle Ungar and Laura Koehly},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {Psychological Medicine},

pages = {1--9},

publisher = {Cambridge University Press},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{cite-keye,

title = {Perceived risks and amelioration of harm in research using mobile technology to support antiretroviral therapy adherence in the context of methamphetamine use: a focus group study among minorities living with HIV},

author = {Elizabeth C. Pasipanodya and Maulika Kohli and Celia B. Fisher and David J. Moore and Brenda Curtis},

url = {https://doi.org/10.1186/s12954-020-00384-1},

doi = {10.1186/s12954-020-00384-1},

isbn = {1477-7517},

year  = {2020},

date = {2020-06-11},

urldate = {2020-06-11},

journal = {Harm Reduction Journal},

volume = {17},

number = {1},

pages = {41},

abstract = {Methamphetamine use poses a barrier to antiretroviral therapy (ART) adherence. Black and Hispanic men who have sex with men living with HIV (PLWH) shoulder much of the health burden resulting from the methamphetamine and HIV syndemic. Smartphones are nearly ubiquitous in the USA and may be promising vehicles for delivering interventions for ART adherence and drug use cessation. However, the acceptability of using applications to collect sensitive information and deliver feedback in this population has not been adequately explored.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Hubach:2020aa,

title = {Perceived Confidentiality Risks of Mobile Technology-Based Ecologic Momentary Assessment to Assess High-Risk Behaviors Among Rural Men Who Have Sex with Men.},

author = {Randolph D Hubach and Andrew O'Neil and Mollie Stowe and Zachary Giano and Brenda Curtis and Celia B Fisher},

url = {https://www.ncbi.nlm.nih.gov/pubmed/32078710},

doi = {10.1007/s10508-019-01612-x},

issn = {1573-2800 (Electronic); 0004-0002 (Linking)},

year  = {2020},

date = {2020-02-20},

journal = {Arch Sex Behav},

pages = {1-10},

address = {Sexual Health Research Lab, Center for Rural Health, Oklahoma State University-Center for Health Sciences, 1111 W 17th Street, Tulsa, OK, 74107, USA. Randolph.Hubach@okstate.edu.},

abstract = {Although men who have sex with men (MSM) within rural communities are disproportionately impacted by HIV, limited HIV research and programmatic resources are directed to these communities within the U.S. There is a need for improved behavioral data collection methods to obtain more detailed information on the relationship between rural environments, sexual behavior, and substance use. Utilization of mobile health (mHealth) technologies, such as ecologic momentary assessment (EMA), has been advocated for; however, limited research has evaluated its utility among rural MSM. Forty MSM residing in rural Oklahoma were recruited to complete in-depth interviews related to participating online/mobile-based HIV prevention research. Men described a willingness to participate in HIV and substance use studies that use EMA methodologies for data collection; however, they raised various research-related concerns. In particular, participants indicated potential privacy and confidentiality concerns related to the use of the mobile technology-based EMA in public and the storage of data by researchers. Given the varying degree of sexual orientation and substance use disclosure by participants, rural MSM were largely concerned with being inadvertently "outed" within their communities. Men described the various strategies they could employ to protect private information and methods to minimize research risk. Study findings suggest that EMA is an acceptable research methodology for use among rural MSM in the context of HIV and sexual health information, when privacy and confidentiality concerns are adequately addressed. Input from community members and stakeholders is necessary to identify potential areas of concerns for participants prior to data collection.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Giorgi:2020aa,

title = {Cultural Differences in Tweeting about Drinking Across the US.},

author = {Salvatore Giorgi and David B Yaden and Johannes C Eichstaedt and Robert D Ashford and Anneke E K Buffone and Andrew H Schwartz and Lyle H Ungar and Brenda Curtis},

url = {https://www.ncbi.nlm.nih.gov/pubmed/32053866},

doi = {10.3390/ijerph17041125},

issn = {1660-4601 (Electronic); 1660-4601 (Linking)},

year  = {2020},

date = {2020-02-11},

urldate = {2020-02-11},

journal = {Int J Environ Res Public Health},

volume = {17},

number = {4},

address = {Computer and Information Science Department, University of Pennsylvania, Philadelphia, PA 19104, USA.},

abstract = {Excessive alcohol use in the US contributes to over 88,000 deaths per year and costs over $250 billion annually. While previous studies have shown that excessive alcohol use can be detected from general patterns of social media engagement, we characterized how drinking-specific language varies across regions and cultures in the US. From a database of 38 billion public tweets, we selected those mentioning "drunk", found the words and phrases distinctive of drinking posts, and then clustered these into topics and sets of semantically related words. We identified geolocated "drunk" tweets and correlated their language with the prevalence of self-reported excessive alcohol consumption (Behavioral Risk Factor Surveillance System; BRFSS). We then identified linguistic markers associated with excessive drinking in different regions and cultural communities as identified by the American Community Project. "Drunk" tweet frequency (of the 3.3 million geolocated "drunk" tweets) correlated with excessive alcohol consumption at both the county and state levels (r = 0.26 and 0.45, respectively, p < 0.01). Topic analyses revealed that excessive alcohol consumption was most correlated with references to drinking with friends (r = 0.20), family (r = 0.15), and driving under the influence (r = 0.14). Using the American Community Project classification, we found a number of cultural markers of drinking: religious communities had a high frequency of anti-drunk driving tweets, Hispanic centers discussed family members drinking, and college towns discussed sexual behavior. This study shows that Twitter can be used to explore the specific sociocultural contexts in which excessive alcohol use occurs within particular regions and communities. These findings can inform more targeted public health messaging and help to better understand cultural determinants of substance abuse.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}