scholarly journals 0431 Bedtime Social Technology Use (Partner and Self) Related to Daytime Sleepiness and Sleep

SLEEP ◽  
2019 ◽  
Vol 42 (Supplement_1) ◽  
pp. A174-A175
Author(s):  
David F Mastin ◽  
Daphne Jackson ◽  
Quinshell Smith ◽  
Shanieke Watson ◽  
Haylie Diederich ◽  
...  
Keyword(s):  
Technology Use ◽  
Daytime Sleepiness ◽  
Social Technology

scholarly journals 0194 Bedtime Technology Use and New Questions for the Sleep Hygiene Index

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A76-A76
Author(s):  
D Mastin ◽  
N Abu-Halimeh ◽  
B T Collins ◽  
J Critton ◽  
M Henderson ◽  
...  
Keyword(s):  
Technology Use ◽  
Daytime Sleepiness ◽  
Sleep Disturbances ◽  
Sleep Hygiene ◽  
Sleep Time ◽  
Social Technology ◽  
Gift Cards ◽  
Psychology Courses ◽  
The Relationship ◽  
Inadequate Sleep

Abstract Introduction We examined the relationship between bedtime active and passive social technology use (self and bedpartner) and daytime sleepiness/sleep. We generated questions to differentiate participants with and without bedpartners and updated passive personal, active bedpartner, and passive bedpartner social technology questions of the Sleep Hygiene Index. Methods 327 students (age: M=19.7 years, SD=3.78) recruited through psychology courses and campus newsletters received extra credit or chances to win $25 gift cards. Participants completed demographic information, the Epworth Sleepiness Scale (ESS), the Pittsburgh Sleep Quality Index, questions regarding associated features of inadequate sleep hygiene, and the Sleep Hygiene Index. Five questions assessed active and passive social technology use, presence of a bedpartner, and awareness of bedpartner active and passive social technology use during sleep time. Results 61.8% and 62.7% of students reported frequently or always using active and passive bedtime social technology, respectively; and 23.5% and 29.1% reported noticing a partner’s active or passive use. More frequent active technology use was significantly related to greater daytime sleepiness (ESS) (r(305)=.193, p<.05), sleep disturbances (PSQI-global: r(302)=.120, p<.05), and associated features of inadequate sleep hygiene (daytime sleepiness, worry about sleep, mood disturbance, avolition, and reduced cognition (r(306)=.212, p<.05)). Neither passive use nor passive or active partner use was significantly related to any sleep/sleepiness variables. Conclusion We continue to find students are frequent users of bedtime social technology which is related to daytime sleepiness, disrupted sleep, and related complaints. Passive and partner active/passive bedtime technology use may not have a significant impact on daytime sleepiness. It is possible younger participants are not good judges of passive or partner technology use or this younger population is resilient to these disruptions. Support none

scholarly journals 0161 ACTIVE AND PASSIVE BEDTIME SOCIAL TECHNOLOGY USE RELATED TO DAYTIME SLEEPINESS AND SLEEP

SLEEP ◽  
2017 ◽  
Vol 40 (suppl_1) ◽  
pp. A60-A60 ◽  
Author(s):  
D Mastin ◽  
J Yang ◽  
L Orr ◽  
S McFarlin ◽  
S Nix ◽  
...  
Keyword(s):  
Technology Use ◽  
Daytime Sleepiness ◽  
Social Technology

Social Technology: A Compendium of Short Cases

2015 ◽  
Vol 31 (4) ◽  
pp. 417-430
Author(s):  
Brett Considine ◽  
John Peter Krahel ◽  
Margarita M. Lenk ◽  
Diane J. Janvrin
Keyword(s):  
Financial Reporting ◽  
Internal Control ◽  
Technology Use ◽  
Performance Monitoring ◽  
Regulatory Compliance ◽  
Social Technology ◽  
Student Groups ◽  
Accounting Information Systems ◽  
And Performance ◽  
Technology Strategies

ABSTRACT Seven short cases highlight the need for organizational control of the use of social technology. Executives now consider the management of social technology strategies and risks to be their fourth highest priority, investing significant resources to develop effective social technology use policies (Carrick et al. 2013; Deloitte 2012; Feltham and Nichol 2012). Moreover, organizations vary their social technology investment choices depending on their objectives and their target audiences (AICPA 2013; Gallaugher and Ransbotham 2010; Kaplan and Haenlein 2010). A wide variety of case learning objectives involve applying internal control models, and developing and justifying opinions about how social technology uses and abuses affect operational, financial reporting and regulatory compliance objectives, risks, controls, and performance-monitoring activities. Instructors may utilize one or more of these cases at a time, either individually or in student groups, and in undergraduate or graduate financial accounting, accounting information systems, governance, or auditing courses.

scholarly journals Examining Rural and Racial Disparities in the Relationship Between Loneliness and Social Technology Use Among Older Adults

2021 ◽  
Vol 9 ◽  
Author(s):  
Kaileigh A. Byrne ◽  
Reza Ghaiumy Anaraky ◽  
Cheryl Dye ◽  
Lesley A. Ross ◽  
Kapil Chalil Madathil ◽  
...  
Keyword(s):  
Older Adults ◽  
Racial Disparities ◽  
Technology Use ◽  
Social Engagement ◽  
Social Contact ◽  
Primary Study ◽  
Social Technology ◽  
Study Results ◽  
The Relationship ◽  
Rural Older Adults

Loneliness, the subjective negative experience derived from a lack of meaningful companionship, is associated with heightened vulnerability to adverse health outcomes among older adults. Social technology affords an opportunity to cultivate social connectedness and mitigate loneliness. However, research examining potential inequalities in loneliness is limited. This study investigates racial and rural-urban differences in the relationship between social technology use and loneliness in adults aged 50 and older using data from the 2016 wave of the Health and Retirement Study (N = 4,315). Social technology use was operationalized as the self-reported frequency of communication through Skype, Facebook, or other social media with family and friends. Loneliness was assessed using the UCLA Loneliness scale, and rural-urban differences were based on Beale rural-urban continuum codes. Examinations of race focused on differences between Black/African-American and White/Caucasian groups. A path model analysis was performed to assess whether race and rurality moderated the relationship between social technology use and loneliness, adjusting for living arrangements, age, general computer usage. Social engagement and frequency of social contact with family and friends were included as mediators. The primary study results demonstrated that the association between social technology use and loneliness differed by rurality, but not race. Rural older adults who use social technology less frequently experience greater loneliness than urban older adults. This relationship between social technology and loneliness was mediated by social engagement and frequency of social contact. Furthermore, racial and rural-urban differences in social technology use demonstrated that social technology use is less prevalent among rural older adults than urban and suburban-dwelling older adults; no such racial differences were observed. However, Black older adults report greater levels of perceived social negativity in their relationships compared to White older adults. Interventions seeking to address loneliness using social technology should consider rural and racial disparities.

scholarly journals Featured Article: Technology Use and Sleep in Adolescents With and Without Attention-Deficit/Hyperactivity Disorder

2019 ◽  
Vol 44 (5) ◽  
pp. 517-526 ◽  
Author(s):  
Elizaveta Bourchtein ◽  
Joshua M Langberg ◽  
Caroline N Cusick ◽  
Rosanna P Breaux ◽  
Zoe R Smith ◽  
...  
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Video Game ◽  
Attention Deficit ◽  
Technology Use ◽  
Daytime Sleepiness ◽  
Internalizing Symptoms ◽  
Sleep Problems ◽  
Pubertal Development ◽  
Hyperactivity Disorder ◽  
Time In Bed

Abstract Objectives This study used a multi-informant approach to examine differences in types and rates of technology used by adolescents with and without attention-deficit/hyperactivity disorder (ADHD), associations between technology use and sleep/daytime sleepiness, and whether technology use was differentially related to sleep/daytime sleepiness in adolescents with and without ADHD. Methods Eighth graders with (n = 162) and without (n = 140) ADHD were recruited. Adolescents completed questionnaires assessing time spent using technology, sleep-wake problems, school-night time in bed, and daytime sleepiness. Parents and teachers reported on adolescents’ technology use and daytime sleepiness, respectively. Results Adolescents with ADHD had significantly greater total technology, television/movie viewing, video game, and phone/video chatting use than adolescents without ADHD. Adolescents with ADHD engaged in twice as much daily video game use compared to those without ADHD (61 vs. 31 min). Controlling for medication use, ADHD status, pubertal development, sex, and internalizing symptoms, greater parent- and adolescent-reported technology use was associated with more sleep-wake problems and less time in bed. ADHD status did not moderate the relations between technology use and these sleep parameters. In contrast, ADHD status moderated the association between parent-reported technology use and teacher-reported daytime sleepiness, such that this association was significant only for adolescents with ADHD. Conclusions Technology use, although more prevalent in adolescents with ADHD, is linked with more sleep problems and reduced school-night sleep duration regardless of ADHD status. Technology use is associated with teacher-rated daytime sleepiness only in adolescents with ADHD. Clinicians should consider technology usage when assessing and treating sleep problems.

scholarly journals 0205 A Population Comparison of Active and Passive Bedtime Social Technology Use

SLEEP ◽  
2018 ◽  
Vol 41 (suppl_1) ◽  
pp. A80-A80
Author(s):  
J Peszka ◽  
M A Sestir ◽  
L A Kennedy ◽  
D F Mastin
Keyword(s):  
Technology Use ◽  
Social Technology ◽  
Population Comparison

Young sexual minority adolescents using social technology: Self-expression and isolation (Preprint)

2020 ◽  
Author(s):  
Linda Charmaraman ◽  
Amanda M. Richer ◽  
Rachel Hodes
Keyword(s):  
Sexual Minority ◽  
Technology Use ◽  
Exploratory Study ◽  
Sexual Minorities ◽  
Developmental Period ◽  
Sexual Minority Youth ◽  
Mental Wellbeing ◽  
Social Technology ◽  
Social Media Site ◽  
Heterosexual Youth

BACKGROUND The early adolescent years are marked by pervasive self- and peer-regulation regarding gender and sexuality norms, which can affect mental wellbeing of sexual minority teens and tweens. During this developmental period, social technology use is also emerging as a dominant mode of communication with peers, allowing for both risk and resilient behaviors that can impact wellbeing. OBJECTIVE The objectives of this exploratory study was to examine how sexual minorities in middle school use social technologies, who they are connected to and for what purposes, and associations with mental wellbeing, compared to their heterosexual peers. METHODS In our cross-sectional survey study of 1034 early adolescents aged 10-16 (average age=12.7) from 4 middle school sites in the Northeast US, we conducted an exploratory study comparing sexual minorities (24% of sample) to their heterosexual peers with an 80% response rate. RESULTS Sexual minorities report having smaller networks on their favorite social media site (B=-.57, p<.001), and were less often responding positively when friends share good news (B=-.35, p=.002) and trying to make friends feel better when sharing bad news (B=-.30, p=.014). However, sexual minorities more often reported joining a group or online community to make themselves feel less alone (B=.28, p=.003) unlike heterosexual youth. Sexual minorities had higher averages of loneliness and social isolation (B=.19, p<.001) than heterosexual students. Sexual minorities were also twice as likely to have tried to harm themselves in the past (B=.81, OR=2.24, p<.001) and more likely to have symptoms that reach the CESD-based definition of depression (B=0.15, OR= 1.16, p<.001). About 39% of sexual minorities had no one to talk to about their sexual orientation. Sexual minorities were 1.5 times more likely to have joined a social media site their parents would disapprove (B=.41, OR=1.50, p=.004) and they were more likely to report seeing online videos related to self-harm (B=.33, OR=1.39, p=.016) than heterosexual youth. CONCLUSIONS Future longitudinal studies could determine any bidirectional influences of mental wellbeing and social technology use in sexual minorities during this difficult developmental period. Given prior reports of supportive and safe online spaces for sexual minority youth, our findings demonstrated that sexual minority youth prefer to maintain small, close-knit online communities (apart from their families) to express themselves, particularly when reaching out to online communities to reduce loneliness.

scholarly journals The Relationship Between Pain and Psychological Distress During the COVID-19 Pandemic: Is Social Technology Use Protective?

Pain Medicine ◽  
2021 ◽  
Author(s):  
Yulin Yang ◽  
Hanna Grol-Prokopczyk ◽  
M Carrington Reid ◽  
Karl Pillemer
Keyword(s):  
Older Adults ◽  
Psychological Distress ◽  
Technology Use ◽  
Severe Pain ◽  
Well Being ◽  
Pain Severity ◽  
Social Technology ◽  
Moderate Pain ◽  
Social Technologies ◽  
The Relationship

Abstract Objectives The COVID-19 pandemic and resulting shelter-in-place orders have profoundly changed the everyday social environment. This study examines the relationship between pain and psychological distress (depression, anxiety, and loneliness) among U.S. adults ages 54 and older during the pandemic. We also test whether use of technology for social purposes moderates the association between pain severity and psychological distress. Methods Using cross-sectional data on 1,014 adults ages 54 and older (pain free, n = 637; mild pain, n = 106; moderate pain, n = 227; and severe pain, n = 64) from the 2020 Health and Retirement Study COVID-19 Project (Early, Version 1.0), we conducted regression analyses to test the association between pain severity and psychological outcomes and to assess social technology use frequency as a moderator. Results Compared with their pain-free peers, participants with mild-to-moderate pain reported more depressive symptoms and greater loneliness; those with severe pain reported higher levels of depression, anxiety, and loneliness. Social technology use was associated with lower levels of depression and loneliness. However, interaction analyses show that social technology use predicted an increase in depression for individuals with pain but a decrease in depression among pain-free individuals. For anxiety and loneliness, no significant effects of social technology use were observed. Conclusion Older adults with pain are at high risk of depression, anxiety, and loneliness during the pandemic. Although social technologies have become a common alternative to face-to-face interactions during the COVID-19 crisis, and overall they can provide mental health benefits, our results suggest that social technologies can be detrimental to psychological well-being among people with pain. These findings can inform technology-based interventions aiming to promote well-being among older adults with pain.

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