Screen-Time Behavior As a Predictor of Depressive Symptoms in Overweight and Obese Adolescents

2013 ◽  
Author(s):  
Marisa A. Murray ◽  
Ronald J. Sigal ◽  
Glen P. Kenny ◽  
Stasia Hadjiyannakis ◽  
Angela S. Alberga ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Screen Time ◽  
Time Behavior ◽  
Obese Adolescents

scholarly journals 660 Chronotype Associations with Insomnia, Depressive Symptoms, and Changes in Sleep and Health Behaviors during the COVID-19 Pandemic

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A258-A258
Author(s):  
Megan Petrov ◽  
Matthew Buman ◽  
Dana Epstein ◽  
Shawn Youngstedt ◽  
Nicole Hoffmann ◽  
...  
Keyword(s):  
Physical Activity ◽  
Depressive Symptoms ◽  
Health Behaviors ◽  
Screen Time ◽  
Online Survey ◽  
Light Exposure ◽  
Multinomial Logistic Regression ◽  
Depression Scale ◽  
Time In Bed ◽  
Significant Difference

Abstract Introduction Evening chronotype (i.e., night owl preference) is associated with worse insomnia and depressive symptoms, and poorer health behaviors. The aim of this study was to examine the association between chronotype and these symptoms and health behaviors during COVID-19 pandemic quarantine. Methods An online survey, distributed internationally via social media from 5/21/2020–7/1/2020, asked adults to report sociodemographic/economic information, changes in sleep (midpoint, total sleep time, sleep efficiency, time-in-bed), and health behaviors (i.e., physical activity, sedentary screen time, and outdoor light exposure patterns) from prior to during the pandemic, chronotype preference (definitely morning [DM], rather more morning [RM], rather more evening [RE], or definitely evening [DE]), and complete the Insomnia Severity Index (ISI) and the 10-item Center for Epidemiologic Studies Depression scale (CES-D-10). Multinomial logistic regression and ANCOVA models, adjusting for age and sex, examined associations of chronotype with COVID-19 pandemic related impacts on sleep, depressive symptoms, and health behaviors. Results A subsample of 579 participants (M age: 39y, range: 18–80; 73.6% female), currently under quarantine and neither pregnant nor performing shift work, represented each chronotype evenly (~25%). Participants delayed their sleep midpoint by 72.0min (SD=111.5) during the pandemic. DE chronotypes had a greater delay than morning types (M±SD DE: 91.0±9.0 vs. RM: 55.9±9.2 & DM: 66.1±9.3; p=0.046) with no significant change in other sleep patterns relative to other chronotypes. However, DE and RE chronotypes had greater odds of reporting that their new sleep/wake schedule was still not consistent with their “body clock” preference relative to morning types (Χ2[15]=54.8, p<0.001), reported greater ISI (F[3,503]=5.3, p=.001) and CES-D-10 scores (F[3,492]=7.9, p<.001), and had greater odds for increased or consistently moderate-to-high sedentary screen time (Χ2[12]=22.7, p=0.03) and decreased physical activity (Χ2[12]=22.5, p=0.03) than DM chronotype. There was no significant difference in change in outdoor light exposure by chronotype (Χ2[12]=12.1, p=0.43). Conclusion In an international online sample of adults under COVID-19 pandemic quarantine, evening chronotypes, despite taking the opportunity to delay sleep to match biological clock preference, reported their sleep/wake schedules were still inconsistent with personal preference, and reported greater insomnia and depressive symptoms, and odds of engaging in poorer health behaviors than morning chronotypes. Support (if any):

Organized Physical Activity Program Participation, Physical Activity, and Related Psychosocial Factors Among Urban Adolescents

2021 ◽  
pp. 105984052110389
Author(s):  
Lorraine B. Robbins ◽  
Jiying Ling ◽  
Mei-Wei Chang
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Psychosocial Factors ◽  
Self Efficacy ◽  
Screen Time ◽  
Urban Adolescents ◽  
Physical Activity Program ◽  
Time Behavior ◽  
Program Participation ◽  
Activity Program

The study purpose was to examine whether adolescents who participated in organized physical activity (PA) programs differed from nonparticipants in motivation, social support, and self-efficacy related to PA; PA (min/hr); and sedentary screen time behavior. Thirty-nine 5th–7th grade adolescents participated in organized PA programs; 41 did not. Approximately 56.3% were Black, and 52.5% had annual family incomes <$20,000. Compared to nonparticipants, those who participated reported significantly higher social support ( M = 2.32 vs. 3.13, p < .001) and fewer hours watching television or movies on a usual weekend day ( M = 2.49 vs. 1.59, p = .016); and had higher accelerometer-measured vigorous PA ( M = 0.58 vs. 1.04, p = .009) and moderate-to-vigorous PA ( M = 2.48 vs. 3.45, p = .035). Involving adolescents in organized PA programs may be important for improving their moderate-to-vigorous PA, vigorous PA, and related psychosocial factors, as well as reducing sedentary screen time behavior.

scholarly journals Anxiety And Depressive Symptoms Differ Between Levels Of Physical Activity And Screen Time Among Adolescents

2021 ◽  
Vol 53 (8S) ◽  
pp. 309-309
Author(s):  
Chloe Forte ◽  
Cillian P. McDowell ◽  
Ciaran McDonnacha ◽  
Matthew P. Herring
Keyword(s):  
Physical Activity ◽  
Depressive Symptoms ◽  
Screen Time

scholarly journals Physical activity assessments in obese and non-obese adolescents using the Bouchard diary

2014 ◽  
Vol 54 (3) ◽  
pp. 137
Author(s):  
Fitri Primacakti ◽  
Damayanti R. Sjarif ◽  
Najib Advani
Keyword(s):  
Physical Activity ◽  
Screen Time ◽  
Activity Patterns ◽  
Cross Sectional Study ◽  
Energy Output ◽  
Cross Sectional ◽  
Obese Adolescent ◽  
Obese Adolescents ◽  
Global Epidemic ◽  
Physical Activity Duration

Background Obesity is now a global epidemic problem. Increasedprevalence of obesity is associated with increased sedentarybeh avior and low physical activity.Objective To assess the physical activity patterns of adolescentsaged 10-15 years and to compare mean energy output, intensityof physical activity, duration of moderate-vigorously intensity ofphysical activity, and length of screen time in obese and non-obeseadolescents.Methods This cross-sectional study was conducted on 7th and3th grade students aged 12-15 years at 216 junior high schools inWest Jakarta. Physical activity was assessed using th e Boucharddiary for 2 school days and 1 holiday.Results There was no significant differen ce in mean energyoutput between th e obese and non-obese adolescent s. Th emedian intensity of physical activity of obese adolescents waslower than that of non-obese adolescents [1.5 (range 0.8 to 1.8)vs. 2 (range 1.6 to 2.8) METs, respectively; P <0.00 1] . The meanduration of moderate-vigorous intensity of physical activity inobese adolescents was shorter than that of non-obese adolescents[19.3 (SD 6.9) vs. 26.4 (SD3.4) minutes, respectively; P= 0.000].Median length of screen time was longer for obese adolescentsthan for non -obese adolescents [2.8 (range 1 to 6.6) vs. 1.8(range 0.3 to 6.1) hours, respectively; P < 0.001]. There was noadolescent who met the recommended physical activity intensityand duration criteria.Conclusion Physical activity varies among adolescents aged10- 15 years. Obese adolescents have signific antly less physicalactivity duration and intensity than n on-obese adolescents, butsignificantly longer screen time. All adolescents' physical activityis less than the recommended intensity and duration.

scholarly journals Sedentary Lifestyle May Contribute to the Risk of Depression During the COVID-19 Pandemic : A Snapshot of Hungarian Adolescents

2021 ◽  
Vol 16 (2) ◽  
pp. 99-119
Author(s):  
Tamás Berki ◽  
Bettina F. Pikó
Keyword(s):  
Physical Activity ◽  
Substance Use ◽  
High School Students ◽  
Depressive Symptoms ◽  
Health Behaviors ◽  
Screen Time ◽  
Mental Health Problems ◽  
Vegetable Consumption ◽  
Short Version ◽  
Increased Risk

Background: Social exclusion usually contributes to an increased vulnerability to mental health problems and risky health behaviors. This study aims to identify the role of health behavior in the increased risk of depressive symptoms among adolescents during the coronavirus pandemic in Hungary. Methods: A total of 705 high school students participated in our study (M = 15.9 years; SD = 1.19). The self-administered questionnaire included items about sociodemographics, eating habits, physical activity, sedentary behavior, and substance use. Depressive symptoms were measured using the short version of the Child Depression Inventory. Descriptive statistics and binary logistic regression were used to analyze our results. Results: Daily fruit and vegetable consumption was reported by 21.7% and 22.4% of respondents, respectively. The proportion of the respondents reporting daily sweets consumption stood at 13.2%, daily soft drinks consumption was 12.3%, and daily energy drink consumption tallied to 4.5%. More than one-third of the sample (35.5%) reported having breakfast every school day, which rose to 68.1% of the sample reporting breakfast on both weekend days. The rate of students engaged in daily physical activity was 6.5%, while 86.1% of them reported more than four hours screen time in a day. In addition, despite the mandatory confinement, a notable percentage of adolescents engaged in substance use. Consistent with previous studies, girls had a higher risk of depression. Low levels of physical activity and high levels of screen time – as well as alcohol and drug use – were associated with a high risk of depression. Conclusions: We believe our study provided useful information on adolescent health behaviors that can lead to adolescents’ depression, and that maintaining physical activity can prevent it even in these unusual circumstances.

scholarly journals Awareness and attitude among parents of primary school students towards screen time in children

2019 ◽  
Vol 7 (1) ◽  
pp. 107
Author(s):  
S. Alph Shirley ◽  
S. Santha Kumar
Keyword(s):  
Adverse Effects ◽  
Primary School ◽  
Screen Time ◽  
Tamil Nadu ◽  
The State ◽  
Primary School Children ◽  
Time Behavior ◽  
Primary School Students ◽  
School Students ◽  
Cross Sectional

Background: Screen time behavior in young children is highly influenced by parental attitude towards screen time.The objective of this study is to assess the awareness and attitude among parents of primary school students in the state of Tamil Nadu, India towards screen time in children. Methods: This cross-sectional observational study was conducted in the state of Tamil Nadu, India among 134 parents of primary school children. Data collected using a predesigned questionnaire were analyzed using suitable statistical methods.Results: Of the 134 participants, 48.5% were fathers and 51.5% mothers. Majority (77.6%) were in the age group of 24 to 35 years. Only 3.7% of the participants were aware of the exact screen time guidelines in children. 93.3% of the participants felt that it was important to limit screen time in children. 84.3% of the participants believed that the content of screen time should be controlled in children. 82.1% of parents felt that they should co view media with their children. 65.7% of the participants believed that the ideal screen time in children per day is 1 to 2 hours. 82.1% of the participants believed that using screen time as a replacement for caretaker was an important reason for increasing screen time. The awareness of adverse effects of increased screen time was high among the participants. 91.8% of the participants believed that establishing limits for screen time in children was the most efficient way to limit screen time in children. 89.6 % believed that increasing awareness among children was important.Conclusions: In this study, we conclude that majority of the parents were aware of the adverse effects of increasing screen time and want to establish healthy screen time behaviours in children.

scholarly journals Longitudinal association between smartphone ownership and depression among schoolchildren under COVID-19 pandemic

2021 ◽  
Author(s):  
Masaki Adachi ◽  
Michio Takahashi ◽  
Hiroki Shinkawa ◽  
Hiroyuki Mori ◽  
Tomoko Nishimura ◽  
...  
Keyword(s):  
Mental Health ◽  
Risk Factor ◽  
Depressive Symptoms ◽  
Health Effects ◽  
School Children ◽  
Screen Time ◽  
The Other ◽  
Time Points ◽  
Longitudinal Association ◽  
Mental Health Effects

AbstractUnder the COVID-19 pandemic, concerns regarding prolonged screen time and mental health effects in children have increased. We examined the association of depression with smartphone ownership in school children at four time points: September 2019, July 2020, December 2020, and March 2021. The analysis revealed an interaction between group and time, indicating that depressive symptoms among smartphone owners were significantly more severe than in the other group. These results were clearer for fourth-year students, pointing that smartphone possession at younger ages may be a risk factor for mental health in the new lifestyle caused by the COVID-19 pandemic.

scholarly journals A ten-step behavioural intervention to reduce screen time and problematic smartphone use

2021 ◽  
Author(s):  
Jay A. Olson ◽  
Dasha Sandra ◽  
Denis Chmoulevitch ◽  
Amir Raz ◽  
Samuel P. L. Veissière
Keyword(s):  
Depressive Symptoms ◽  
Technology Use ◽  
Screen Time ◽  
Intervention Study ◽  
Well Being ◽  
Control Group ◽  
Behavioural Intervention ◽  
Problematic Smartphone Use ◽  
The World ◽  
Smartphone Use

Problematic smartphone use is rising across the world and has been associated with reductions in concentration and well-being. Few interventions aiming to reduce smartphone use take a multi-faceted approach that balances feasibility and effectiveness. We developed such an intervention with ten simple guidelines that nudge users to reduce their screen time (e.g., disabling non-essential notifications). Two pre-registered studies tested the intervention. Study 1 (N = 51) found reductions in screen time, problematic smartphone use, and depressive symptoms after two weeks. Study 2 (N = 70) found that the intervention caused larger changes in screen time, problematic smartphone use, and sleep quality than a control group of screen time monitoring alone. Our brief intervention reduced screen time by one hour per day and returned problematic smartphone use scores to normal levels for at least six weeks. This intervention provides simple, scalable, and feasible behavioural guidelines to promote healthy technology use.

scholarly journals Longitudinal association between movement behaviours and depressive symptoms among adolescents using compositional data analysis

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0256867
Author(s):  
Hugues Sampasa-Kanyinga ◽  
Ian Colman ◽  
Dorothea Dumuid ◽  
Ian Janssen ◽  
Gary S. Goldfield ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Longitudinal Data ◽  
Sleep Duration ◽  
Screen Time ◽  
Compositional Data ◽  
Vigorous Physical Activity ◽  
Compositional Data Analysis ◽  
Movement Behaviour ◽  
Data Analyses ◽  
Over Time

Background Research examining the associations between movement behaviours and mental health indicators within a compositional framework are sparse and limited by their cross-sectional study design. This study has three objectives. First, to describe the change in movement behaviour composition over time. Second, to explore the association between change in movement behaviour composition and change in depressive symptoms. Third, to explore how reallocations of time between movement behaviours are associated with changes in depressive symptoms. Methods Longitudinal data of 14,620 students in grades 9–12 (mean age: 14.9 years) attending secondary schools in Canada (Ontario, British Columbia, Alberta, Quebec) were obtained from two waves (2017/18, 2018/19) of the COMPASS study. Moderate-to-vigorous physical activity (MVPA), recreational screen time, and sleep duration were self-reported. Depressive symptoms were measured using the Center for Epidemiologic Studies Depression Scale (Revised)−10 (CESD-R-10). Compositional data analyses using pivot coordinates and compositional isotemporal substitution for longitudinal data were used to analyse the data. Analyses accounted for school clustering, were stratified by gender and age (< or ≥ 15 years), and were adjusted for race/ethnicity, body mass index z-score, baseline movement behaviour composition, and baseline depressive symptoms. Results There were significant differences in movement behaviour composition over time across all subgroups. For example, the relative contributions of MVPA and sleep duration to the movement behaviour composition decreased over time while screen time increased among younger boys and girls and older girls. Increasing sleep duration relative to the remaining behaviours (i.e. screen time and MVPA) was associated with lower depressive symptoms among all subgroups. Increasing screen time relative to the remaining behaviours (i.e. MVPA and sleep duration) was associated with higher depressive symptoms among all subgroups. Increasing MVPA relative to the remaining behaviours (i.e. screen time and sleep duration) was associated with lower depressive symptoms in older girls only. Isotemporal substitution estimates indicated that decreasing screen time by 60 minutes/day and replacing that time with 60 minutes of additional sleep is associated with the largest change in depressive symptoms across all subgroups. Conclusions Findings from this prospective analysis suggest that increased sleep duration and reduced screen time are important determinants of lower depressive symptoms among adolescents.

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