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Predictors of screen viewing time in young Singaporean children: the GUSTO cohort

Overview of attention for article published in International Journal of Behavioral Nutrition and Physical Activity, September 2017
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  • Good Attention Score compared to outputs of the same age (68th percentile)

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Title
Predictors of screen viewing time in young Singaporean children: the GUSTO cohort
Published in
International Journal of Behavioral Nutrition and Physical Activity, September 2017
DOI 10.1186/s12966-017-0562-3
Pubmed ID
Authors

Jonathan Y. Bernard, Natarajan Padmapriya, Bozhi Chen, Shirong Cai, Kok Hian Tan, Fabian Yap, Lynette Shek, Yap-Seng Chong, Peter D. Gluckman, Keith M. Godfrey, Michael S. Kramer, Seang Mei Saw, Falk Müller-Riemenschneider

Abstract

Higher screen viewing time (SVT) in childhood has been associated with adverse health outcomes, but the predictors of SVT in early childhood are poorly understood. We examined the sociodemographic and behavioral predictors of total and device-specific SVT in a Singaporean cohort. At ages 2 and 3 years, SVT of 910 children was reported by their parents. Interviewer-administered questionnaires assessed SVT on weekdays and weekends for television, computer, and hand-held devices. Multivariable linear mixed-effect models were used to examine the associations of total and device-specific SVT at ages 2 and 3 with predictors, including children's sex, ethnicity, birth order, family income, and parental age, education, BMI, and television viewing time. At age 2, children's total SVT averaged 2.4 ± 2.2 (mean ± SD) hours/day, including 1.6 ± 1.6 and 0.7 ± 1.0 h/day for television and hand-held devices, respectively. At age 3, hand-held device SVT was 0.3 (95% CI: 0.2, 0.4) hours/day higher, while no increases were observed for other devices. SVT tracked moderately from 2 to 3 years (r = 0.49, p < 0.0001). Compared to Chinese children, Malay and Indian children spent 1.04 (0.66, 1.41) and 0.54 (0.15, 0.94) more hours/day watching screens, respectively. Other predictors of longer SVT were younger maternal age, lower maternal education, and longer parental television time. In our cohort, the main predictors of longer children's SVT were Malay and Indian ethnicity, younger maternal age, lower education and longer parental television viewing time. Our study may help target populations for future interventions in Asia, but also in other technology-centered societies. This ongoing study was first registered on July 1, 2010 on NCT01174875 as. Retrospectively registered.

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X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 181 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 181 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 11%
Student > Bachelor 18 10%
Student > Ph. D. Student 15 8%
Researcher 14 8%
Student > Postgraduate 7 4%
Other 24 13%
Unknown 83 46%
Readers by discipline Count As %
Medicine and Dentistry 22 12%
Psychology 19 10%
Nursing and Health Professions 18 10%
Social Sciences 7 4%
Agricultural and Biological Sciences 5 3%
Other 20 11%
Unknown 90 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 September 2017.
All research outputs
#6,211,808
of 23,001,641 outputs
Outputs from International Journal of Behavioral Nutrition and Physical Activity
#1,460
of 1,937 outputs
Outputs of similar age
#98,188
of 315,613 outputs
Outputs of similar age from International Journal of Behavioral Nutrition and Physical Activity
#35
of 42 outputs
Altmetric has tracked 23,001,641 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,937 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.8. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 315,613 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.