Unpacking Associations between Mood Symptoms and Screen Time in Preadolescents: a Network Analysis

Lin, Sin-Ying; Eaton, Nicholas R.; Schleider, Jessica L.

doi:10.1007/s10802-020-00703-x

Cited by 6 publications

(9 citation statements)

References 86 publications

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“…For the PSU community, the two strongest positive edges were between PSU1 “salience” and PSU3 “mood modification” and between PSU4 “tolerance” and PSU6 “relapse”; this has also been found in a prior network research ( 24 ). The three strongest edges found within the BIS/BAS community are similar to the results found by other studies using network analysis ( 94 ). They were between BASD “BAS-drive” and BASF “BAS-fun seeking,” between BASR “BAS-reward responsiveness” and BASF “BAS-fun seeking,” and between BASR “BAS-reward responsiveness” and BASD “BAS-drive.” For the impulsivity community, the strongest edge was between I1 “non-planning impulsivity” and I 3 “attentional impulsivity,” which is consistent with prior studies that revealed a positive correlation between non-planning impulsivity and attentional impulsivity ( 95 ).…”

Section: Discussionsupporting

confidence: 88%

“…For the PSU community, the two strongest positive edges were between PSU1 "salience" and PSU3 "mood modification" and between PSU4 "tolerance" and PSU6 "relapse"; this has also been found in a prior network research (24). The three strongest edges found within the BIS/BAS community are similar to the results found by other studies using network analysis (94). They were between BASD "BAS-drive" and BASF "BAS-fun seeking, " between BASR "BAS-reward responsiveness" and BASF "BAS-fun seeking, " and between BASR "BAS-reward responsiveness" and BASD "BASdrive."…”

Section: Discussionsupporting

confidence: 85%

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The roles of behavioral inhibition/activation systems and impulsivity in problematic smartphone use: A network analysis

Guo

Yang

et al. 2022

Front. Public Health

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BackgroundBehavioral inhibition/activation systems (BIS/BAS) and impulsivity are associated with problematic smartphone use (PSU). However, no studies to date have explored how the subdomains of BIS/BAS and the dimensions of impulsivity relate to the components of PSU in a joint framework. This study aimed to examine the relationships between the three constructs at a fine-grained level and identify the central nodes and bridge nodes of their relationships using network analysis.MethodsA regularized partial correlation network of PSU, BIS/BAS, and impulsivity communities was estimated to investigate the connections between variables and determine the expected influence and bridge expected influence for each variable based on data from 325 Chinese adults. PSU, BIS/BAS, and impulsivity were assessed using the Smartphone Application-Based Addiction Scale (SABAS), BIS/BAS scales, and Barratt Impulsiveness Scale-Version 11 (BIS-11), respectively.ResultsIn addition to connections within each community, network analysis revealed that there were connections between different communities, especially connections to PSU. I2 “motor impulsivity” was strongly associated with PSU2 “conflict” and PSU6 “relapse”; BASR “BAS-reward responsiveness” was strongly associated with PSU5 “withdrawal.” Nodes BASR “BAS-reward responsiveness” and PSU6 “relapse” were the most central variables, while nodes BASR “BAS-reward responsiveness” and I2 “motor impulsivity” were the strongest bridge variables.ConclusionThe connections between the subdomains of BIS/BAS and the components of PSU and between the dimensions of impulsivity and the components of PSU may be particularly important in the development and maintenance of PSU. The central variables identified here, along with the bridge variables, could be promising and effective targets for the prevention and intervention of PSU.

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Section: Discussionsupporting

confidence: 88%

Section: Discussionsupporting

confidence: 85%

The roles of behavioral inhibition/activation systems and impulsivity in problematic smartphone use: A network analysis

Guo

Yang

et al. 2022

Front. Public Health

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“…Despite some research combining a variety of screen-based activities into one screen time variable (Lin et al, 2020;Oberle et al, 2020), the differences across TV viewing, Internet use, text messaging, and video game playing in the present study indicated that an aggregate score was unsuitable. The correlations among the screen time variables were inconsistent, ranging from negligible to approaching moderate magnitudes.…”

Section: Variability In Screen Timecontrasting

confidence: 69%

“…Students with missing responses for the loneliness variables may be at higher risk of loneliness, although the use of passive consent protocols is shown to encourage more robust reporting of sensitive areas among youth and preferable student representation/response rates (Chartier et al, 2008; White et al, 2004). Use of the single loneliness item is recommended for large scale surveys (Office for National Statistics, 2018), and has been shown to be a significant indicator of emotional loneliness, which focuses on the intimacy of one's relationships, rather than the size of one's social network (Lin et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

Loneliness and screen time usage over a year

MacDonald

Patte

Leatherdale

et al. 2022

Journal of Adolescence

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Introduction: This study investigates the stability of loneliness in adolescents over a 1-year period. Also, we examine how the use of screen time media (watching television, playing video games, surfing the Internet, and texting) predicts loneliness over a year and how loneliness predicts screen time media usage. Methods: The study uses survey data from the Cannabis, Obesity, Mental health, Physical activity, Alcohol, Smoking, and Sedentary behavior Study. A large (N = 20,903; 54% female) sample of Canadian students in grades 9-11 (Time 1) and grades 10-12 (Time 2) were assessed at two-time points, 1 year apart. Results: Loneliness scores were found to be stable over the 1-year period, with a slight increase. Additionally, while loneliness was associated with some screen time within the same year, the effects from loneliness or screen time variables at time one predicting the other at time two were negligible. The study also provides evidence that the various screen time media did not fit a single dimension. Finally, there were sex differences in loneliness and some of the media variables. Conclusions: Loneliness appears to increase slightly over the course of a year in high school students. Results indicated that Internet use and loneliness are related; however screen time use in one year does not have a substantial impact on loneliness a year later or vice versa. Lastly, the data suggested that researchers examine screen time behaviors individually in their investigations.

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“…Previous studies have found a signi cant positive relationship between depressed mood and substance and alcohol use among adults [11][12][13]. Furthermore, a growing body of evidence highlights that substance use and heavy consumption of alcohol among adults has been associated with stressful life experiences ,as many may tend to consume excessive alcohol as act of coping with negative feelings [14,15].…”

mentioning

confidence: 99%

Parenting Support: Mediation Pathways for Reduced Substance Use Among Parents and Their Children: A Randomized Controlled Trial

Massarwi

Cluver

Meinck

et al. 2021

Preprint

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Background: Substance use is a major public health concern worldwide. Alcohol and drug use have risen over recent decades in many low and middle-income countries, with South Africa among the highest globally.Despite effectiveness of family-based interventions on reducing substance use among adolescents, less is known about the effectiveness of family-based programs on substance use among parents and caregivers, in particular, among families in low- and middle-income countries (LMIC).This study investigated mediators of change in a parenting programme (Parenting for Lifelong Health -PLH) on reduction of substance use among parents and their children through three potential mediators: parental depression, parenting stress and family poverty. In addition, the study examined the correlation between parental substance use and adolescent substance use.Methods: The current study draws on a pragmatic cluster randomized controlled trial design; the total sample comprised 552 parents\caregiver and adolescent dyads (parents\caregivers M = 49.37; SD = 14.69 and adolescents M = 13.84; SD = 2.38) who were recruited from 40 communities in South Africa’s Eastern Cape. Participants completed a structured confidential self-report questionnaire, at baseline and follow-up test (5–9 months following the intervention). Structural equation modeling (SEM) was conducted to investigate direct and indirect effects. Results: Mediation analysis indicated that PLH intervention impact on parental substance use reduction among parents ran through one indirect pathway: Improvement in parental mental health (reduction in parental depression levels). There were no pathways from PLH intervention to parental substance use through parenting stress or family poverty. Furthermore, findings showed a significant positive correlation between parental substance use and adolescents' substance use.Conclusions: The findings of the study highlight the fact that PLH parenting intervention has a significant effect on secondary outcomes, including substance use and depression among parents\caregivers in LMIC. These findings emphasize the need for creating supportive environments and systems for parents who suffer from emotional strain and mental health problems, in particular among families in adversity. Supporting parental mental health as part of a parenting programme serves as a significant pathway for reducing substance use among parents and their children.Trial registration: Pan-African Clinical Trials Registry PACTR201507001119966. Registered on 27 April 2015. It can be found by searching for the key word ‘Sinovuyo’ on their website or via the following link:http://www.pactr.org/ATMWeb/appmanager/atm/atmregistry_nfpb=true&_windowLabel=BasicSearchUpdateController_1&BasicSearchUpdateController_1_actionOverride=%2Fpageflows%2Ftrial%2FbasicSearchUpdate%2FviewTrail&BasicSearchUpdateController_1id=1119

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Unpacking Associations between Mood Symptoms and Screen Time in Preadolescents: a Network Analysis

Cited by 6 publications

References 86 publications

The roles of behavioral inhibition/activation systems and impulsivity in problematic smartphone use: A network analysis

The roles of behavioral inhibition/activation systems and impulsivity in problematic smartphone use: A network analysis

Loneliness and screen time usage over a year

Parenting Support: Mediation Pathways for Reduced Substance Use Among Parents and Their Children: A Randomized Controlled Trial

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