Patterns of parent screen use, child screen time, and child socioemotional problems at 5 years

Background: Digital media screens have become an essential part of our family life. While most studies focus on children’s screen use, we know less about parental screen use patterns and how these affect children’s socio-emotional development.Method: 867 Canadian parents of 5-year old children from the TARGet Kids! Cohort (73.1% mothers, mean age=38.88±4.45 years) participated from 2014 to 2020. Parents reported parental and child time on TV and handheld devices and completed the Strengths and Difficulties Questionnaire (SDQ). Latent profile analysis (LPA) was used to identify groups of parents with similar patterns of screen use and link these profiles with child screen time and SDQ.Results: We identified six latent profiles of parent screen use: low users (P1, reference; n=323), more TV than handheld (P2; n=261), equal TV and handheld (P3; n=177), more handheld than TV (P4; n=57), high TV and handheld (P5; n=38) and extremely high TV and handheld (P6; n=11). P6 were more likely to be living in single parent households compared to P1 (estimate=-1.49(0.70), p=0.03). P2 (estimate=-0.67(0.32), p=0.04) and P4 (estimate=-1.42(0.40), p<0.001) were more likely to have lower household income compared to P1. P4 (χ2=12.32, p<0.001) and P5 (χ2=9.54, p=0.002) have higher total child screen time compared to P1. P6 (χ2=6.82, p=0.009) had higher total SDQ compared to P1.Discussion: Patterns of parent screen use were associated with child screen use and child socioemotional problems. The link between parental screen use profiles and child behaviours suggests a need for guidelines on parental screen time.

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Profiles of Alcohol and Marijuana Use Among Simultaneous Alcohol and Marijuana Users: Individual Differences in Demographics and Substance Use

Journal of Drug Issues ◽

10.1177/0022042620979617 ◽

2020 ◽

pp. 002204262097961

Author(s):

Ashley N. Linden-Carmichael ◽

Hannah K. Allen

Keyword(s):

Substance Use ◽

Emerging Adults ◽

Latent Profile Analysis ◽

Profile Analysis ◽

Marijuana Use ◽

Individual Characteristics ◽

Use Patterns ◽

Increased Risk ◽

Problematic Substance ◽

Use Behavior

Simultaneous alcohol and marijuana (SAM) use—or use of both substances with overlapping effects—is common among emerging adults and is linked to increased risk for problematic substance use outcomes. The current study identified subgroups of emerging adult SAM users based on their typical alcohol and marijuana use patterns and compared groups on key individual characteristics. Latent profile analysis uncovered four profiles of SAM users ( n = 522): Light Users (LU; 49.0%), Moderate Drinkers With Frequent Marijuana Use (MDFM; 37.9%), Moderate Drinkers With High Peak Levels (MDHP; 5.4%), and Heavy/Frequent Users (HFU; 7.7%). Group differences by demographic characteristics were found, with LU more likely to be college attendees/graduates than MDFM. In addition, HFU were more likely to be Greek-affiliated than both LU and MDFM. Groups also differed based on other drug use behavior and preferred route of marijuana administration. Findings demonstrate diversity among SAM users based on typical substance use patterns.

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Identifying Suicide Typologies Among Trauma-Exposed Veterans

Crisis ◽

10.1027/0227-5910/a000637 ◽

2020 ◽

Vol 41 (4) ◽

pp. 288-295 ◽

Cited By ~ 1

Author(s):

Nadia Bounoua ◽

Jasmeet P. Hayes ◽

Naomi Sadeh

Keyword(s):

Latent Profile Analysis ◽

Suicide Attempts ◽

Clinical Symptoms ◽

Profile Analysis ◽

Risky Behaviors ◽

Self Report ◽

Cross Sectional ◽

Research Priority ◽

Self Harm ◽

And Behaviors

Abstract. Background: Suicide among veterans has increased in recent years, making the identification of those at greatest risk for self-injurious behavior a high research priority. Aims: We investigated whether affective impulsivity and risky behaviors distinguished typologies of self-injurious thoughts and behaviors in a sample of trauma-exposed veterans. Method: A total of 95 trauma-exposed veterans (ages 21–55; 87% men) completed self-report measures of self-injurious thoughts and behaviors, impulsivity, and clinical symptoms. Results: A latent profile analysis produced three classes that differed in suicidal ideation, suicide attempts and nonsuicidal self-injury (NSSI): A low class that reported little to no self-injurious thoughts or behaviors; a self-injurious thoughts (ST) class that endorsed high levels of ideation but no self-harm behaviors; and a self-injurious thoughts and behaviors (STaB) class that reported ideation, suicide attempts and NSSI. Membership in the STaB class was associated with greater affective impulsivity, disinhibition, and distress/arousal than the other two classes. Limitations: Limitations include an overrepresentation of males in our sample, the cross-sectional nature of the data, and reliance on self-report measures. Conclusion: Findings point to affective impulsivity and risky behaviors as important characteristics of veterans who engage in self-injurious behaviors.

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