Exploring the complex pathways among specific types of technology, self-reported sleep duration and body mass index in UK adolescents

T Arora; S Hussain; K-B Hubert Lam; G Lily Yao; G Neil Thomas; S Taheri

doi:10.1038/ijo.2012.209

Exploring the complex pathways among specific types of technology, self-reported sleep duration and body mass index in UK adolescents

T Arora, S Hussain, K-B Hubert Lam, G Lily Yao, G Neil Thomas, S Taheri

Research output: Contribution to journal › Article › peer-review

59 Citations (Scopus)

Abstract

Objective:To examine the independent associations between sleep duration, four technology types (computer use, mobile telephones, TV viewing and video gaming) and body mass index (BMI) z-score. We propose a theoretical path model showing direct effects of four technology types on BMI z-score and sleep duration as well as the indirect effects of each technology on BMI z-score while considering sleep duration as a mediator.Methods:Consenting adolescents (n=632; 63.9% girls, aged 11-18 years) were recruited to the Midlands Adolescent Schools sleep Education Study. The School Sleep Habits Survey (SSHS) and Technology Use Questionnaire (TUQ) were administered. Objective measures of height (cm) and weight (kg) were obtained for BMI z-score calculation.Results:Weekday use of all technology types was significantly associated with reduced weekday sleep duration after adjustment (β (computer use)=-0.38, P

Original language	English
Journal	International Journal of Obesity
DOIs	https://doi.org/10.1038/ijo.2012.209
Publication status	Published - 8 Jan 2013

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AU - Arora, T

AU - Hussain, S

AU - Hubert Lam, K-B

AU - Lily Yao, G

AU - Neil Thomas, G

AU - Taheri, S

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N2 - Objective:To examine the independent associations between sleep duration, four technology types (computer use, mobile telephones, TV viewing and video gaming) and body mass index (BMI) z-score. We propose a theoretical path model showing direct effects of four technology types on BMI z-score and sleep duration as well as the indirect effects of each technology on BMI z-score while considering sleep duration as a mediator.Methods:Consenting adolescents (n=632; 63.9% girls, aged 11-18 years) were recruited to the Midlands Adolescent Schools sleep Education Study. The School Sleep Habits Survey (SSHS) and Technology Use Questionnaire (TUQ) were administered. Objective measures of height (cm) and weight (kg) were obtained for BMI z-score calculation.Results:Weekday use of all technology types was significantly associated with reduced weekday sleep duration after adjustment (β (computer use)=-0.38, P

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Exploring the complex pathways among specific types of technology, self-reported sleep duration and body mass index in UK adolescents

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