scholarly journals Associations Between Substance Use and Instagram Participation to Inform Social Network–Based Screening Models: Multimodal Cross-Sectional Study

10.2196/21916 ◽  
2020 ◽  
Vol 22 (9) ◽  
pp. e21916
Author(s):  
Brandon G Bergman ◽  
Weiyi Wu ◽  
Lisa A Marsch ◽  
Benjamin S Crosier ◽  
Timothy C DeLise ◽  
...  
Keyword(s):  
At Risk ◽  
Substance Use ◽  
Social Network ◽  
Drug Use ◽  
Prescription Drug ◽  
Negative Binomial ◽  
Screening Tools ◽  
Risk Detection ◽  
Prescription Drug Use ◽  
Race Ethnicity

Background Technology-based computational strategies that leverage social network site (SNS) data to detect substance use are promising screening tools but rely on the presence of sufficient data to detect risk if it is present. A better understanding of the association between substance use and SNS participation may inform the utility of these technology-based screening tools. Objective This paper aims to examine associations between substance use and Instagram posts and to test whether such associations differ as a function of age, gender, and race/ethnicity. Methods Participants with an Instagram account were recruited primarily via Clickworker (N=3117). With participant permission and Instagram’s approval, participants’ Instagram photo posts were downloaded with an application program interface. Participants’ past-year substance use was measured with an adapted version of the National Institute on Drug Abuse Quick Screen. At-risk drinking was defined as at least one past-year instance having “had more than a few alcoholic drinks a day,” drug use was defined as any use of nonprescription drugs, and prescription drug use was defined as any nonmedical use of prescription medications. We used logistic regression to examine the associations between substance use and any Instagram posts and negative binomial regression to examine the associations between substance use and number of Instagram posts. We examined whether age (18-25, 26-38, 39+ years), gender, and race/ethnicity moderated associations in both logistic and negative binomial models. All differences noted were significant at the .05 level. Results Compared with no at-risk drinking, any at-risk drinking was associated with both a higher likelihood of any Instagram posts and a higher number of posts, except among Hispanic/Latino individuals, in whom at-risk drinking was associated with a similar number of posts. Compared with no drug use, any drug use was associated with a higher likelihood of any posts but was associated with a similar number of posts. Compared with no prescription drug use, any prescription drug use was associated with a similar likelihood of any posts and was associated with a lower number of posts only among those aged 39 years and older. Of note, main effects showed that being female compared with being male and being Hispanic/Latino compared with being White were significantly associated with both a greater likelihood of any posts and a greater number of posts. Conclusions Researchers developing computational substance use risk detection models using Instagram or other SNS data may wish to consider our findings showing that at-risk drinking and drug use were positively associated with Instagram participation, while prescription drug use was negatively associated with Instagram participation for middle- and older-aged adults. As more is learned about SNS behaviors among those who use substances, researchers may be better positioned to successfully design and interpret innovative risk detection approaches.

scholarly journals Associations Between Substance Use and Instagram Participation to Inform Social Network–Based Screening Models: Multimodal Cross-Sectional Study (Preprint)

2020 ◽  
Author(s):  
Brandon G Bergman ◽  
Weiyi Wu ◽  
Lisa A Marsch ◽  
Benjamin S Crosier ◽  
Timothy C DeLise ◽  
...  
Keyword(s):  
At Risk ◽  
Substance Use ◽  
Social Network ◽  
Drug Use ◽  
Prescription Drug ◽  
Negative Binomial ◽  
Screening Tools ◽  
Risk Detection ◽  
Prescription Drug Use ◽  
Race Ethnicity

BACKGROUND Technology-based computational strategies that leverage social network site (SNS) data to detect substance use are promising screening tools but rely on the presence of sufficient data to detect risk if it is present. A better understanding of the association between substance use and SNS participation may inform the utility of these technology-based screening tools. OBJECTIVE This paper aims to examine associations between substance use and Instagram posts and to test whether such associations differ as a function of age, gender, and race/ethnicity. METHODS Participants with an Instagram account were recruited primarily via Clickworker (N=3117). With participant permission and Instagram’s approval, participants’ Instagram photo posts were downloaded with an application program interface. Participants’ past-year substance use was measured with an adapted version of the National Institute on Drug Abuse Quick Screen. At-risk drinking was defined as at least one past-year instance having “had more than a few alcoholic drinks a day,” drug use was defined as any use of nonprescription drugs, and prescription drug use was defined as any nonmedical use of prescription medications. We used logistic regression to examine the associations between substance use and any Instagram posts and negative binomial regression to examine the associations between substance use and number of Instagram posts. We examined whether age (18-25, 26-38, 39+ years), gender, and race/ethnicity moderated associations in both logistic and negative binomial models. All differences noted were significant at the .05 level. RESULTS Compared with no at-risk drinking, any at-risk drinking was associated with both a higher likelihood of any Instagram posts and a higher number of posts, except among Hispanic/Latino individuals, in whom at-risk drinking was associated with a similar number of posts. Compared with no drug use, any drug use was associated with a higher likelihood of any posts but was associated with a similar number of posts. Compared with no prescription drug use, any prescription drug use was associated with a similar likelihood of any posts and was associated with a lower number of posts only among those aged 39 years and older. Of note, main effects showed that being female compared with being male and being Hispanic/Latino compared with being White were significantly associated with both a greater likelihood of any posts and a greater number of posts. CONCLUSIONS Researchers developing computational substance use risk detection models using Instagram or other SNS data may wish to consider our findings showing that at-risk drinking and drug use were positively associated with Instagram participation, while prescription drug use was negatively associated with Instagram participation for middle- and older-aged adults. As more is learned about SNS behaviors among those who use substances, researchers may be better positioned to successfully design and interpret innovative risk detection approaches.

scholarly journals Comparison and validation of screening tools for substance use in pregnancy: a cross-sectional study conducted in Maryland prenatal clinics

BMJ Open ◽  
2018 ◽  
Vol 8 (2) ◽  
pp. e020248 ◽  
Author(s):  
Victoria H Coleman-Cowger ◽  
Emmanuel A Oga ◽  
Erica N Peters ◽  
Kathleen Trocin ◽  
Bartosz Koszowski ◽  
...  
Keyword(s):  
Substance Use ◽  
Drug Use ◽  
Pregnant Women ◽  
Prescription Drug ◽  
Cross Sectional Study ◽  
Screening Tools ◽  
Sectional Study ◽  
Cross Sectional ◽  
Prescription Drug Use ◽  
The Usa

IntroductionPrescription-drug use in the USA has increased by more than 60% in the last three decades. Prevalence of prescription-drug use among pregnant women is currently estimated around 50%. Prevalence of illicit drug use in the USA is 14.6% among pregnant adolescents, 8.6% among pregnant young adults and 3.2% among pregnant adults. The first step in identifying problematic drug use during pregnancy is screening; however, no specific substance-use screener has been universally recommended for use with pregnant women to identify illicit or prescription-drug use. This study compares and validates three existing substance-use screeners for pregnancy—4 P’s Plus, National Institute on Drug Abuse (NIDA) Quick Screen/Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) and the Substance Use Risk Profile-Pregnancy (SURP-P) scale.Methods and analysisThis is a cross-sectional study designed to evaluate the sensitivity, specificity and usability of existing substance-use screeners. Recruitment occurs at two obstetrics clinics in Baltimore, Maryland, USA. We are recruiting 500 participants to complete a demographic questionnaire, NIDA Quick Screen/ASSIST, 4 P’s Plus and SURP-P (ordered randomly) during their regularly scheduled prenatal appointment, then again 1 week later by telephone. Participants consent to multidrug urine testing, hair drug testing and allowing access to prescription drug and birth outcome data from electronic medical records. For each screener, reliability and validity will be assessed. Test–retest reliability analysis will be conducted by examining the results of repeated screener administrations within 1 week of original screener administrations for consistency via correlation analysis. Furthermore, we will assess if there are differences in the validity of each screener by age, race and trimester.Ethics and disseminationThis study is approved by the Institutional Review Board of the University of Maryland (HP-00072042), Baltimore, and Battelle Memorial Institute (0619–100106433). All participants are required to give their informed consent prior to any study procedure.

Recreational Prescription Drug Use Among College Students

NASPA Journal ◽  
2006 ◽  
Vol 43 (1) ◽  
Author(s):  
Ethan A Kolek
Keyword(s):  
Drug Use ◽  
Prescription Drug ◽  
Undergraduate Students ◽  
Prescription Drugs ◽  
Drug Users ◽  
Research University ◽  
Future Research ◽  
Negative Consequences ◽  
Prescription Drug Use ◽  
Other Substances

The purpose of this study was to explore recreational prescription drug use among undergraduate students. Although anecdotal accounts on this subject abound, empirical research is extremely limited. Data from a survey of a random sample of 734 students at a large public research university in the Northeast were examined. Results indicate that a substantial proportion of students reported having used prescription drugs for recreational purposes in the year prior to survey administration. Recreational prescription drug use was positively associated with the use of other substances including alcohol. Recreational prescription drug users were also more likely than other drug users to report negative consequences as a result of their drug use. Implications for future research and for student affairs are discussed.

scholarly journals Exploring the use of cannabis as a substitute for prescription drugs in a convenience sample

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Sinikka L. Kvamme ◽  
Michael M. Pedersen ◽  
Kristine Rømer Thomsen ◽  
Birgitte Thylstrup
Keyword(s):  
Side Effects ◽  
Drug Use ◽  
Prescription Drug ◽  
Prescription Drugs ◽  
Online Survey ◽  
Convenience Sample ◽  
Patient Organizations ◽  
Public Media ◽  
Prescription Drug Use ◽  
The Impact

Abstract Background The use of cannabis as medicine (CaM) both prescribed and non-prescribed has increased markedly in the last decade, mirrored in a global shift in cannabis policy towards a more permissive stance. There is some evidence that cannabis functions as a substitute for prescription drugs, particularly opioids; however, more knowledge is needed on the motives of substitution users, their patterns of use, and perceived effects of substitution use. Aims To explore who substitutes prescription drugs with cannabis, the type of prescription drugs substituted and the type of cannabis used, and the impact that substitution with cannabis has on prescription drug use as well as the motives for substitution in terms of experienced effects and side effects. Methods A self-selected convenience sample was recruited through social media, public media, and patient organizations to take part in an anonymous online survey. Inclusion criteria were 18 years or older and use of cannabis (prescribed or non-prescribed) with a medical purpose. Results The final sample included 2.841 respondents of which the majority (91%) used non-prescribed cannabis, and more than half (54.6%) had used CaM with the purpose of replacing a prescribed drug. Compared to non-substitution users, substitution users were more likely to be women and to use CaM in the treatment of chronic pain and other somatic conditions. Pain medication (67.2%), antidepressants (24.5%), and arthritis medication (20.7%) were the most common types of drugs replaced with CaM. Among substitution users, 38.1% reported termination of prescription drug use, and 45.9% a substantial decrease in prescription drug use. The most frequent type of cannabis used as a substitute was CBD-oil (65.2%), followed by ‘hash, pot or skunk’ (36.6%). More than half (65.8%) found CaM much more effective compared to prescription drugs, and 85.5% that the side effects associated with prescription drug use were much worse compared to use of CaM. Conclusion CaM is frequently used as a substitute for prescription drugs, particularly opioids. More research is needed on the long-term consequences of use of CaM, including the impact from low and high THC cannabis products on specific somatic and mental health conditions.

Prescription Drug and Healthcare Use Among Swedish Patients Treated with Antidepressants

1995 ◽  
Vol 29 (6) ◽  
pp. 566-572 ◽  
Author(s):  
Kerstin Al Bingefors ◽  
Dag Gl Isacson ◽  
Lars Von Knorring ◽  
Björn Smedby
Keyword(s):  
Drug Use ◽  
Ambulatory Care ◽  
Prescription Drug ◽  
Prescription Drugs ◽  
Antidepressant Treatment ◽  
Antidepressant Drugs ◽  
Cross Sectional Study ◽  
Care Hospital ◽  
Cross Sectional ◽  
Prescription Drug Use

Objective: To analyze healthcare and prescription drug use among patients taking and those not taking antidepressant drugs in a Swedish community. Design: Cross-sectional study. Setting: General population of the rural Swedish municipality Tierp of approximately 20 000 inhabitants. Participants: All residents of Tierp aged 25 years or older during 1988. Main Outcome Measures: Mean number of ambulatory care visits, hospital bed days, and prescriptions per person; proportion of those taking prescription drugs in different pharmacologic classes. Results: Patients treated with antidepressant drugs had a significantly (p < 0.05) greater use of ambulatory care, hospital care, and prescription drugs than those who did not take antidepressants in the study population. They also had an increased frequency of use of prescription drugs from virtually all pharmacologic classes. Furthermore, the risk for polypharmacy was high in patients treated with antidepressant medications. Conclusions: Those who took antidepressant drugs consumed more health services and prescription drugs than did those not taking an antidepressant. Patients receiving antidepressant treatment may be at serious risk for iatrogenic disease and should be evaluated carefully with respect to concomitant drug use.

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