The impact of smartphone use on learning effectiveness: A case study of primary school students.

This study investigated the effects of smartphone use on the perceived academic performance of elementary school students. Following the derivation of four hypotheses from the literature, descriptive analysis, t testing, one-way analysis of variance (ANOVA), Pearson correlation analysis, and one-way multivariate ANOVA (MANOVA) were performed to characterize the relationship between smartphone behavior and academic performance with regard to learning effectiveness. All coefficients were positive and significant, supporting all four hypotheses. We also used structural equation modeling (SEM) to determine whether smartphone behavior is a mediator of academic performance. The MANOVA results revealed that the students in the high smartphone use group academically outperformed those in the low smartphone use group. The results indicate that smartphone use constitutes a potential inequality in learning opportunities among elementary school students. Finally, in a discussion of whether smartphone behavior is a mediator of academic performance, it is proved that smartphone behavior is the mediating variable impacting academic performance. Fewer smartphone access opportunities may adversely affect learning effectiveness and academic performance. Elementary school teachers must be aware of this issue, especially during the ongoing COVID-19 pandemic. The findings serve as a reference for policymakers and educators on how smartphone use in learning activities affects academic performance.

Lecturers' Experiences of the Blurring of Work and Home Boundaries During the Covid-19 Pandemic at a South African ODeL University

The unprecedented extended Covid-19 pandemic lockdowns forced higher education institutions (HEIs) to find innovative ways to effectively deliver student tuition and support. The lockdown brought many challenges to the education sector, including increasing the blurring of the work-home boundaries. This study investigated how Covid-19 accelerated the blurring of lecturers' work-home boundaries in the College of Education at a distance education institution in South Africa. Semi-structured interviews were used to collect data from 15 lecturers. The results showed that a lack of workspace at many lecturers' homes forced them to work beyond normal office hours. One of the key findings was that complete segmentation and integration were impossible because these lines were continuously blurred during the pandemic. The demand for immediate feedback by students exacerbated the situation for many lecturers. There is a need for the design of fluid policies that can be readily implemented during times of emergency such as the pandemic.

Using Machine Learning to Explore the Risk Factors of Problematic Smartphone Use among Canadian Adolescents during COVID-19: The Important Role of Fear of Missing Out (FoMO)

The goal of the present study was to use machine learning to identify how gender, age, ethnicity, screen time, internalizing problems, self-regulation, and FoMO were related to problematic smartphone use in a sample of Canadian adolescents during the COVID-19 pandemic. Participants were N = 2527 (1269 boys;Mage = 15.17 years, SD = 1.48 years) high school students from the Lower Mainland of British Columbia, Canada. Data on problematic smartphone use, screen time, internalizing problems (e.g., depression, anxiety, and stress), self-regulation, and FoMO were collected via an online questionnaire. Several different machine learning algorithms were used to train the statistical model of predictive variables in predicting problematic smartphone use. The results indicated that Shrinkage algorithms (lasso, ridge, and elastic net regression) performed better than other algorithms. Moreover, FoMO, emotional, and cognitive self-regulation made the largest relative contribution to predicting problematic smartphone use. These findings highlight the importance of FoMO and self-regulation in understanding problematic smartphone use.

The Tale of a Complicated Relationship: Insights from Users' Love/Breakup Letters to Their Smartphones before and during the COVID-19 Pandemic

Smartphones have gotten under public scrutiny due to their ostensible negative impact on users' well-being. Nonetheless, users and related work report positive aspects of smartphones, too. We investigated this discrepancy through the prism of the emotional user-smartphone relationship by having people write love/breakup letters to their smartphones. We gathered 82 letters - 42 before and 40 during the COVID-19 pandemic. We found a mixed nature regarding the distribution of love and breakup letters and associated emotions based on the revisited OCC-model of emotions - with a slight shift towards the negative emotional spectrum during the COVID-19 pandemic. Furthermore, we performed an extensive qualitative analysis of 819 user statements extracted from the letters, resulting in a connection of emotions to 17 smartphone features and eight themes of real-life consequences of smartphone use. We then identified eight common patterns of this connection, classified as smartphone roles. The collected letters mostly model a complex user-smartphone relationship, comprising different roles depending on users' inner and outer context. We discuss how HCI could help in shaping the complex user-smartphone relationship in future research and suggest supporting a healthy balance between users' daily life and smartphone use. © 2023 ACM.

Validity, reliability, and correlates of the Smartphone Addiction Scale-Short Version among Japanese adults.

BACKGROUND: The short version of the smartphone addiction scale (SAS-SV) is widely used to measure problematic smartphone use (PSU). This study examined the validity and reliability of the SAS-SV among Japanese adults, as well as cross-sectional and longitudinal associations with relevant mental health traits and problems. METHODS: Datasets from a larger project on smartphone use and mental health were used to conduct two studies. Participants were adults aged over 20 years who carried a smartphone. RESULTS: Study 1 (n = 99,156) showed the acceptable internal consistency and structural validity of the SAS-SV with a bifactor model with three factors. For the test-retest reliability of the SAS-SV, the intraclass correlation coefficient (ICC) was .70, 95% CI [.69, 70], when the SAS-SV was measured seven and twelve months apart (n = 20,389). Study 2 (n = 3419) revealed that when measured concurrently, the SAS-SV was strongly positively correlated with another measure of PSU and moderately correlated with smartphone use time, problematic internet use (PIU), depression, the attentional factor of impulsiveness, and symptoms related to attention-deficit hyperactivity disorder and obsessive-compulsive disorder. When measured 12 months apart, the SAS-SV was positively strongly associated with another measure of PSU and PIU and moderately associated with depression. DISCUSSION: The structural validity of the SAS-SV appeared acceptable among Japanese adults with the bifactor model. The reliability of the SAS-SV was demonstrated in the subsequent seven- and twelve-month associations. CONCLUSION: The cross-sectional and longitudinal associations of the SAS-SV provided further evidence regarding PSU characteristics.

Longitudinal association between problematic smartphone use and sleep disorder among Chinese college students during the COVID-19 pandemic.

BACKGROUND: Problematic smartphone use (PSU) and sleep disorders (SD) are common public health problems among college students. While previous cross-sectional studies have found a relationship between PSU and SD, the causal direction of this relationship remains unclear. This study aims to examine the longitudinal changes of PSU and SD during the COVID-19 pandemic, determine the causal relationship between them, and identify confounding factors that affect this association. METHODS: The study sample consisted of 1186 Chinese college students (47.7% male) with a mean age of 18.08 years. Participants completed the Smartphone Addiction Scale - Short Version (SAS-SV) and the Pittsburgh Sleep Quality Index (PSQI) at both baseline and follow-up surveys, conducted one year apart. The cross-lagged panel model (CLPM) was used to examine the causal relationship between PSU and SD, stratified by gender and duration of daily physical activity. The fixed effect panel regression was used to confirm the findings of CLPM. RESULTS: The results of the CLPM analysis showed a significant bidirectional relationship between PSU and SD for the overall sample, which was consistent with the fixed effects model findings. However, subgroup analyses revealed that the bidirectional association disappeared among males or those who engaged in daily physical activity for more than 1 h. CONCLUSIONS: Our study shows a significant bidirectional association between PSU and SD, with variations across gender and daily physical activity levels. Encouraging physical activity may serve as a potential intervention to disrupt the bidirectional association between PSU and SD, which has important implications for public health strategies aimed at reducing the negative consequences of PSU and SD.

Offline and online basic need satisfaction and smartphone use behaviors: A mediation model.

Based on the self-determination theory, this study compared the offline and online need satisfaction during the COVID-19 period and investigated how the fulfilment experienced in the different settings affected an individual's smartphone use outcomes. 546 Chinese undergraduate students participated in the study and were measured with their levels of offline and online basic need satisfaction, smartphone use patterns, and problematic smartphone use. The results showed that offline basic need satisfaction negatively predicted problematic smartphone use via the information seeking pattern, whereas online basic need satisfaction positively predicted problematic smartphone use via the use patterns of transaction and entertainment. Our study expands the research scope of the pertinent topic and pinpoints the mechanism between the basic need satisfaction and problematic smartphone use.

Changes in Sleep Satisfaction of Korean Adolescents in the Pre- and Post-COVID-19 Eras and Its Effects on Health Behaviors.

Adolescence is a crucial period for cognitive and psychological development and physical maturation. During this period, hormonally influenced circadian rhythms lead to reduced hours of sleep, and it is important to determine whether sleep quality is sufficient for fatigue relief. Non-face-to-face classes during coronavirus disease-2019 (COVID-19) potentially affected adolescents' sleep quality, psychological state, amount of physical activity, smoking, alcohol consumption, and internet (smartphone) use. We investigated the effects of the COVID-19 situation on adolescents' sleep satisfaction and its relation to the aforementioned factors. Data of 109,281 adolescents collected via an online survey, conducted from 3 June 2019 to 12 July 2019 and from 3 August 2020 to 13 November 2020, were analyzed. Health status comparison between the satisfactory and unsatisfactory sleep groups yielded significant results (odds ratio [OR] = 1.10, confidence interval [CI] = 1.04-1.17) for 2020. In both groups, perceived health was worse in 2019 than in 2020 (OR = 2.72, CI = 2.53-2.92). During COVID-19, non-face-to-face classes increased adolescents' sleep satisfaction. Their psychological state improved, while amount of physical activity (muscle-strengthening exercises), average weight, and internet (smartphone) use increased. Smoking and alcohol consumption decreased.

The Digitalization of Religion: Smartphone Use and Subjective Well‐Being during COVID‐19

Previous findings indicate that smartphone use can decrease life satisfaction and can negatively impact religious or spiritual goals. But since the start of the COVID‐19 pandemic, smartphones have become significantly more positive and useful. Smartphones have helped people move on with their lives, especially due to the myriad benefits they offer. Users can "virtually” spend time with family and friends (i.e., social) and can order groceries, read the news, attend to religious and spiritual needs, and entertain themselves (i.e., process) without venturing out. In the theoretical framework of uses and gratifications, we explored the impact that smartphone use can have on the subjective well‐being of Jews and Christians, respectively, in countries with the highest smartphone penetration: Israel and the United States. Furthermore, we introduced religiosity and spirituality, which have surged during the pandemic, as mediators in the proposed model. In the United States, social and process smartphone use enhanced subjective well‐being through religiosity (vs. spirituality). In Israel, the process use enhanced subjective well‐being through spirituality (vs. religiosity). Theoretical implications are discussed. [ FROM AUTHOR]

Excessive smartphone use symptoms associated with psychological distress as consequence of early phase COVID-19 restrictions

Coronavirus disease (COVID-19) has been associated to various mental health problems and its consequences such as lock-down and social distancing were linked to various adaptations forms including increased smartphone usage. The purpose of the present study was to determine the prevalence of symptoms related to smartphone excessive use and to detect smartphone addiction symptoms related to general psychological distress. Participants were (N=260) surveyed during the first two weeks of lockdown measure. Online measures were introduced including sociodemographic background, Smartphone Addiction Scale Short Version (SAS-SV), and the Brief Symptoms Inventory (BSI). Among 260 Moroccan adults, the prevalence of excessive smartphone use was 48.4% (women: 59.6%/men: 40.4%). Withdrawal, preoccupation, simultaneous presence of withdrawal and tolerance, with or without preoccupation, were significantly more observed among female users (p = .019, p = .042, p = .023 and p = .003;respectively). Comparing excessive smartphone users to non-excessive users, GSI and all BSI dimensions, showed higher significant difference in mean scores (r ranging from.15 to.31). SAS-SV total score was positively correlated with general distress (rho = .19, p < .05), depression (rho = .27, p < .01), and paranoid ideation (rho = .20, p < .05) in excessive smartphone users. Smartphone excessive use appears strongly associated with general distress, regardless of the circumstances. The results of this work provide sufficient evidence for the implementation of psychological interventions in general population during possible lock down measures or potential quarantine for potential next pandemic waves. © The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/)

University freshmen's excessive smartphone use and psychological safety during the COVID-19 pandemic.

Although excessive smartphone use has been confirmed as being associated with specific representations of mental health (e. g., anxiety, depression, wellbeing, etc.) throughout the COVID-19 pandemic, the relationship between excessive smartphone use and cognitive representations of mental health (i.e., psychological safety) is not yet fully understood. This study aimed to identify the association between excessive smartphone use and psychological safety among university freshmen during the COVID-19 pandemic; in addition, we examined the mediation effects of hardiness and interpersonal distress in this relationship. In this study, 1,224 university freshmen were selected at random from several universities in Guizhou Province of China. The Psychological Safety Scale was used to evaluate the mental health of university freshmen; the Mobile Phone Dependence Scale was used to evaluate excessive smartphone use; the Hardiness Questionnaire was used to evaluate hardiness; and the Interpersonal Relation Synthetic Diagnose Test was used to evaluate interpersonal distress. The findings showed that: (1) the greater the degree of excessive smartphone use, the more serious respondents' interpersonal distress and the lower their hardiness; (2) excessive smartphone use was not only directly related to the psychological safety of university freshmen but also indirectly related to their psychological safety through the independent mediation of hardiness and interpersonal distress, as well as through the chain mediation of hardiness and interpersonal distress. In general, excessive smartphone use in university freshmen could lead to a decline in their psychological safety. Also, hardiness and interpersonal distress play a complex role in this relationship. During the COVID-19 pandemic, interventions on the mental health of college freshmen should not only provide guidance on how to use their smartphone responsibly but also to provide them with support and guidance for the enhancement of their hardiness and improvement of their interpersonal relationships.

Bedtime smartphone use and academic performance: A longitudinal analysis from the stressor-strain-outcome perspective

The penetration of smartphones into human life finds expression in problematic smartphone use, particularly under the Covid-19 home confinement. Problematic smartphone use is accompanied by adverse impacts on personal wellbeing and individual performance. However, little is known about the mechanism of such adverse impacts. Motivated by this, the present study strives to answer (i) how bedtime smartphone use impacts students’ academic performance through wellbeing-related strains;(ii) how to mitigate the adverse consequences of bedtime smartphone use. Drawing upon the stressor-strain-outcome paradigm, the current work presents a comprehensive understanding of how smartphone use indirectly deteriorates college students’ academic performance through the mediators of nomophobia — “the fear of being unavailable to mobile phones” (Lin et al., 2021) — and sleep deprivation. This allows a more flexible remedy to alleviate the adverse consequences of smartphone use instead of simply limiting using smartphones. This study collects a two-year longitudinal dataset of 6093 college students and employs the structural equation modeling technique to examine the stressor‐strain‐outcome relationship among bedtime smartphone use, nomophobia, sleep deprivation, and academic performance. This study finds robust evidence that wellbeing-related strains (i.e., nomophobia and sleep deprivation) mediate the negative relationship between bedtime smartphone use and academic performance. Furthermore, engaging in physical activity effectively mitigates the adverse effects of bedtime smartphone use upon nomophobia and sleep deprivation. This study not only enriches the current literature regarding the indirect effect mechanism of smartphone use but also provides valuable insights for academics and educational policymakers.

When working from home might come at a cost: the relationship between family boundary permeability, overwork climate and exhaustion

Purpose Drawing on boundary theory, this study aims to analyse whether the intensity of working from home will be related to higher exhaustion through family boundary permeability, with this relationship being more robust when overwork climate is high. Design/methodology/approach In this paper eight hundred eighty-three white-collar employees working from home during the COVID-19 pandemic in Lithuania were surveyed online. Findings The results confirmed the hypotheses, demonstrating that family boundary permeability may explain the relationship between telework intensity and exhaustion. Furthermore, the mediating relationship between the intensity of working from home, family boundary permeability and exhaustion were moderated by overwork climate. Employees who felt the pressure to overwork were more likely to have a more permeable family boundary when working from home and appeared to experience a much higher psychological cost in terms of emotional exhaustion. Originality/value The study provides an insight into the relationships between the intensity of working from home, boundary permeability and exhaustion and their boundary conditions when working from home during the COVID-19 pandemic.

Impact of Digital Literacy and Problematic Smartphone Use on Life Satisfaction: Comparing Pre- and Post-COVID-19 Pandemic.

Although the impact of digital literacy (DL) and problematic smartphone use (PSU) on life satisfaction was verified in previous literature, little is known about how the impact of two given variables can be differentiated during the COVID-19 pandemic situation. Thus, the purpose of this study was to empirically analyze whether the influence of DL and PSU on life satisfaction has changed as a consequence of the COVID-19 pandemic. We applied a cross-sectional study design to analyze data obtained from a nationwide survey on smartphone overdependence conducted in 2019 and 2020 by the South Korean Ministry of Science and ICT and the National Information Society Agency. Large-scale data obtained from 41,883 individuals were analyzed using hierarchical regression analysis. The results show that the positive relationship between digital literacy and life satisfaction was further strengthened post-COVID-19 rather than pre-COVID-19. In addition, the results suggest that the negative relationship between PSU and life satisfaction is further strengthened during post-COVID-19 rather than pre-COVID-19. The findings indicate that the roles of digital literacy and PSU are more important after the COVID-19 pandemic.

Exploring subtypes and correlates of internet gaming disorder severity among adolescents during COVID-19 in China: A latent class analysis.

The WHO recently included Gaming Disorder as a psychiatric diagnosis. Whether there are distinct groups of adolescents who differ based on severity of gaming disorder and their relationships with other mental health and addictive behavior outcomes, including problematic smartphone use (PSU), remains unclear. The current study explored and identified subtypes of Internet Gaming Disorder (IGD) severity and estimated the association between these subtypes and other disorders. Participants completed online questionnaires assessing the severity of IGD, PSU, depression, and anxiety during COVID-19. We conducted a latent class analysis of IGD symptoms among 1,305 Chinese adolescents (mean age = 15.2; male = 58.5%) from 11 secondary schools in Macao (SAR), China. Multinomial logistic regression estimated correlates of latent class membership and PSU. A 4-class model adequately described the sample subgroups. Classes were labeled as normative gamers (30.9%), occasional gamers (42.4%), problematic gamers (22.7%), and addictive gamers (4.1%). Relative to normative gamers, PSU severity, depression, and being male were significantly higher among problematic gamers, addictive gamers, and occasional gamers. Only problematic gamers showed significant positive associations with anxiety severity compared to the other groups. The study revealed the differences in severity of gaming disorder and its association with psychopathology outcomes. Application in screening for IGD and comorbidity is discussed. Supplementary Information: The online version contains supplementary material available at 10.1007/s12144-022-03133-8.

Influence of smartphone use motives on smartphone addiction during the COVID-19 epidemic in China: the moderating effect of age.

With the development of science and technology, the phenomenon of smartphone addiction has become very common. However, smartphone addiction has adverse consequences. To date, few studies have examined psychological crises and smartphone use motives during the coronavirus disease 2019 (COVID-19) pandemic according to age. Therefore, this study aimed to examine the influences of different types of smartphone use motives on smartphone addiction and explore the moderating effect of age on adolescents and adults. A total of 1346 participants (600 adults and 746 adolescents) completed questionnaires on their motives for smartphone use and smartphone addiction. Results indicated significant positive correlations between smartphone use motives and smartphone addiction. In the moderation model, mood regulation, social relations, pastime, and conformity significantly and directly predicted smartphone addiction; however, perceived enjoyment did not. Age played a moderating role in the prediction of smartphone addiction. Teenagers and adults have different motives for smartphone use, and different motives have different effects on adolescents and adults. Adolescents have higher coping motivation and conformity motivation than adults, and for adolescents, perceived pleasure motivation has a significant impact on smartphone addiction. For adults, perceived pleasure and social relationship motivation have a significant impact on smartphone addiction. Therefore, interventions for smartphone addiction can be developed by investigating the motives of use among different people, and age should be considered when developing interventions for smartphone addiction.

Exploring digital natives' mobile addiction syndrome in Taiwan: psychological issues and beyond

Purpose This study seeks to explore digital natives' mobile usage behaviors and, in turn, develop an analytic framework that helps articulate the underlying components of mobile addiction syndrome (MAS), its severity levels and mobile usage purposes. Design/methodology/approach The investigation adopts a survey method and a case study. The results of the former are based on 411 random classroom observations and 205 questionnaire responses, and the insights of the latter are derived from 24 interviews and daily observations. Findings The findings validate five distinctive signs that constitute MAS and their significant correlations with each of the Big Five personality traits. Classroom observations confirm the prevalence of addiction tendency among digital natives in the research context. Seven levels of MAS and six different mobile usage purposes further manifest themselves from case analysis. There appears to be a sharp contrast between the addicted and non-addicted groups in their mobile purposes and behavioral patterns. Additionally, family relationships seem influential in shaping non-addictive mobile usage behaviors. Research limitations/implications Psychological perspectives on MAS may be important but insufficient. Empirical investigation on a global scale, especially with distinctive cross-cultural comparisons, will be highly encouraged. How MAS evolves over time should also serve as future research interests. Practical implications Teaching pedagogy of college education might need certain adjustments to intrigue digital natives' learning interests. Future managers might also need to adopt better performance measurements for digital natives who barely separate work from personal matters in their mobile devices. Social implications Parents and healthcare institutions may need to develop response mechanism to tackle this global issue at home and in society. The long-term effects of the COVID-19 pandemic on MAS might also deserve global attention. Originality/value The analytic framework developed provides an original mechanism that can be valuable in identifying MAS severity and associated behavioral patterns.

Effectiveness of a Conversational Chatbot (Dejal@bot) for the Adult Population to Quit Smoking: Pragmatic, Multicenter, Controlled, Randomized Clinical Trial in Primary Care.

BACKGROUND: Tobacco addiction is the leading cause of preventable morbidity and mortality worldwide, but only 1 in 20 cessation attempts is supervised by a health professional. The potential advantages of mobile health (mHealth) can circumvent this problem and facilitate tobacco cessation interventions for public health systems. Given its easy scalability to large populations and great potential, chatbots are a potentially useful complement to usual treatment. OBJECTIVE: This study aims to assess the effectiveness of an evidence-based intervention to quit smoking via a chatbot in smartphones compared with usual clinical practice in primary care. METHODS: This is a pragmatic, multicenter, controlled, and randomized clinical trial involving 34 primary health care centers within the Madrid Health Service (Spain). Smokers over the age of 18 years who attended on-site consultation and accepted help to quit tobacco were recruited by their doctor or nurse and randomly allocated to receive usual care (control group [CG]) or an evidence-based chatbot intervention (intervention group [IG]). The interventions in both arms were based on the 5A's (ie, Ask, Advise, Assess, Assist, and Arrange) in the US Clinical Practice Guideline, which combines behavioral and pharmacological treatments and is structured in several follow-up appointments. The primary outcome was continuous abstinence from smoking that was biochemically validated after 6 months by the collaborators. The outcome analysis was blinded to allocation of patients, although participants were unblinded to group assignment. An intention-to-treat analysis, using the baseline-observation-carried-forward approach for missing data, and logistic regression models with robust estimators were employed for assessing the primary outcomes. RESULTS: The trial was conducted between October 1, 2018, and March 31, 2019. The sample included 513 patients (242 in the IG and 271 in the CG), with an average age of 49.8 (SD 10.82) years and gender ratio of 59.3% (304/513) women and 40.7% (209/513) men. Of them, 232 patients (45.2%) completed the follow-up, 104/242 (42.9%) in the IG and 128/271 (47.2%) in the CG. In the intention-to-treat analysis, the biochemically validated abstinence rate at 6 months was higher in the IG (63/242, 26%) compared with that in the CG (51/271, 18.8%; odds ratio 1.52, 95% CI 1.00-2.31; P=.05). After adjusting for basal CO-oximetry and bupropion intake, no substantial changes were observed (odds ratio 1.52, 95% CI 0.99-2.33; P=.05; pseudo-R2=0.045). In the IG, 61.2% (148/242) of users accessed the chatbot, average chatbot-patient interaction time was 121 (95% CI 121.1-140.0) minutes, and average number of contacts was 45.56 (SD 36.32). CONCLUSIONS: A treatment including a chatbot for helping with tobacco cessation was more effective than usual clinical practice in primary care. However, this outcome was at the limit of statistical significance, and therefore these promising results must be interpreted with caution. TRIAL REGISTRATION: Clinicaltrials.gov NCT03445507; https://tinyurl.com/mrnfcmtd. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1186/s12911-019-0972-z.

Comparing the prevalence of nomophobia and smartphone addiction among university students pre-COVID-19 and during COVID-19.

BACKGROUND: This study aimed to: (a) explore differences in the prevalence of nomophobia and smartphone addiction (SA) from pre- to during COVID-19; (b) identify students' self-reported changes in smartphone reliance and screen time during COVID-19; and (c) examine whether self-perceived changes in smartphone usage predicted nomophobia and SA scores. METHODS: Scores on the Nomophobia Questionnaire and Smartphone Addiction Scale between two surveys administered at two timepoints were compared: Sample 1 (September 2019-January 2020; N = 878) and Sample 2 (May-June 2020; N = 258). RESULTS: No significant differences were found between samples on nomophobia or SA. Nearly all of Sample 2 reported using some type of app more, using their smartphone a little more, and about the same perceived smartphone reliance during COVID-19. Increased screen time, smartphone reliance, and social media significantly predicted nomophobia and SA. CONCLUSION: COVID-19 does not appear to have exacerbated the prevalence of nomophobia or SA.