Due to the high accessibility and mobility of smartphones, widespread and pervasive smartphone use has become the social norm, exposing users to various health and other risk factors. There is, however, a debate on whether addiction to smartphone use is a valid behavioral addiction that is distinct from similar conditions, such as Internet and gaming addiction. The goal of this review is to gather and integrate up-to-date research on measures of smartphone addiction (SA) and problematic smartphone use (PSU) to better understand (a) if they are distinct from other addictions that merely use the smartphone as a medium, and (b) how the disorder(s) may fall on a continuum of addictive behaviors that at some point could be considered an addiction. A systematic literature search adapted from the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method was conducted to find all relevant articles on SA and PSU published between 2017 and 2019. A total of 108 articles were included in the current review. Most studies neither distinguished SA from other technological addictions nor clarified whether SA was an addiction to the actual smartphone device or to the features that the device offers. Most studies also did not directly base their research on a theory to explain the etiologic origins or causal pathways of SA and its associations. Suggestions are made regarding how to address SA as an emerging behavioral addiction.

Background: College students are among the heaviest users of smartphones and the Internet, and there is growing concern regarding problematic Internet (PIU) and smartphone use (PSU). A subset of adverse childhood experiences, household dysfunction [(HHD) e.g.; parental substance use, mental illness, incarceration, suicide, intimate partner violence, separation/divorce, homelessness], are robust predictors of behavioral disorders; however, few studies have investigated the link between HHD and PIU and PSU and potential protective factors, such as social support, among students. Methods: Data are from a diverse California student sample (N = 1027). The Smartphone Addiction Scale—Short Version and Internet Addiction Test assessed dimensions of addiction. Regression models tested associations between students’ level of HHD (No HHD, 1–3 HHD, ≥4 HHD) and PSU and PIU, and the role of extrafamilial social support in these relationships, adjusting for age, gender, ethnicity, SES, employment loss due to COVID-19, and depression. Results: Compared to students reporting no HHD, students with ≥4 HHD had twice the odds (AOR: 2.03, 95% CI: 1.21–3.40) of meeting criteria for PSU, while students with 1–3 HHD and ≥4 HHD had three and six times the odds of moderate to severe PIU (AORs: 2.03–2.46, CI:1.21–3.96) after adjusting for covariates. Extrafamilial social support was inversely associated with PIU and moderated the HHD–PSU association for students with 1–3 HHD. Conclusion: Students exposed to HHD may be especially vulnerable to developing behavioral addictions such as PSU and PIU. Extrafamilial social support offset the negative effects of HHD for PSU among the moderate risk group; implications for prevention efforts are discussed.

After proposing the “Deeming Rule” in 2014, the U.S. Food and Drug Administration (FDA) began regulating the manufacturing, marketing, and sales of electronic cigarette (e-cigarette) products as tobacco products in 2016. The current study conducted vape shop store observations and surveyed Los Angeles–area shop employees (assessing their beliefs, awareness, and perceptions of e-cigarettes and related FDA regulations) at two time points one year apart to better understand what vape shop retailers would do given FDA’s soon-to-be-enacted Deeming Rule. The study also compared retailer beliefs/awareness/actions and store characteristics immediately after the Deeming Rule proposal versus a year after the Rule had been proposed, right before its enactment. Two data collection waves occurred before the Deeming Rule enactment, with Year 1 surveying 77 shops (2014) and Year 2 surveying 61 shops (2015–2016). Between the data collection points, 16 shops had closed. Among the shops that were open at both time points, the majority (95% in Year 1; 74% in Year 2) were aware of some FDA regulations or other policies applying to vape shops. However, overall awareness of FDA regulations and state/local policies governing e-cigarettes significantly decreased from Year 1 to Year 2. At both time points, all shops offered customers free puffs of nicotine-containing e-liquids (prohibited by the then upcoming Deeming Rule). Perceptions of e-cigarette safety also significantly decreased between the years. Exploring vape shop retailer perceptions and store policies (i.e., free puffs/samples displays, perceptions of e-cigarette safety, etc.) over time will help the FDA assess the needs of the vape shop community and develop more effective retailer education campaigns and materials targeted to increase compliance with the newly enacted regulations.

Despite current prevention and cessation efforts, adolescent smoking remains a pressing issue worldwide, including in Korea. The current study evaluates Project EX-Korea, a teen tobacco use cessation program, three months after baseline. The quasi-experimental trial intervention involved 160 smokers in 10th to 12th grade, 85 from the program condition schools and 75 from the control. At three-month follow-up, the intent-to-treat (ITT) quit rate in the program group (30.2%) was 3.6 times that of the rate in the standard care control group (9.2%; p < 0.05). Among those who did not quit, those in the program group smoked less on average than those in the control group, but there was no difference in follow-up mFTQ scores between the two non-quitter groups. As teen tobacco use cessation programming is much needed in Korea, Project EX is a plausible program to implement among Korean adolescents.

This study examined vape shop customers’ behaviors in relation to shop display practices. We hypothesized that display of signs conveying supportive attitude toward vaping at vape shops would be positively associated with customer purchasing and in-shop vaping behaviors. We recruited vape shops throughout Southern California (N = 122). Trained teams of data collectors visited each of the consented vape shops, observed customers’ characteristics and behaviors (N = 254) and coded items in the shops that were visible and on display. We conducted a multivariate multilevel analysis to account for the data structure where customers were nested within vape shops. Male customers were more likely to purchase e-liquid at the shop than female customers (p < .001). There were no sex differences vaping at the shop (p = .353). We observed more customers vaping at shops with e-cigarette safety displays (p = .024) and more customers purchasing e-liquid at shops with quit smoking signage (p = .004). Point-of-sale displays were not associated with either customer vaping or purchasing behaviors observed at the shop. Displays of state-regulated and nonregulated (i.e., tobacco industry) age-of-sale compliance signs, Ask4ID and WeCard, were not significantly associated with customer vaping or purchase behaviors. Certain display signs present at vape shops might communicate to customers that engaging in certain behaviors (e.g., vaping inside the shops) may be safe or acceptable.