Use of Text Messaging for Monitoring Sugar-sweetened Beverages, Physical Activity, and Screen Time in Children: A Pilot Study

Shapiro, Jennifer R.; Bauer, Stéphanie; Hamer, Robert M.; Kordy, Hans; Ward, Dianne S.; Bulik, Cynthia M.

doi:10.1016/j.jneb.2007.09.014

Cited by 187 publications

(249 citation statements)

References 30 publications

(39 reference statements)

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“…These interventions have different focuses including diet and exercise, surgical and drug treatments, behavior change, self-monitoring, and managing screen time and physical activity levels [41] [31] [40]. Several new technologies have been developed and existing technologies exploited for this purpose.…”

Section: A Technologyical Solutionmentioning

confidence: 99%

“…Several new technologies have been developed and existing technologies exploited for this purpose. For example, Short Message Service (SMS) has been proposed as a method of monitoring children and adolescents' screen time and physical activity behavior [41]. Results showed that children and adolescents seems to be more affected by technology-based programs compared to other traditional paper-based methods of self-monitoring.…”

Section: A Technologyical Solutionmentioning

confidence: 99%

“…Results showed that children and adolescents seems to be more affected by technology-based programs compared to other traditional paper-based methods of self-monitoring. Using electronicbased programs might be more suitable and provide adherence and acceptability in self-monitoring and behavioral change among young generation [41].…”

Section: A Technologyical Solutionmentioning

confidence: 99%

“…A number of factors that positively affect behavioral change, increase awareness of physical activity and enhance adherence to self-monitoring have been identified, for example home-based tailored interactive programs targeted at children [42] [41]. Additionally, technology that provides immediate feedback and facilitates self-monitoring [41] as well as provides visual presentation of activity level such as charts [42] has been recommended.…”

Section: A Technologyical Solutionmentioning

confidence: 99%

“…Additionally, technology that provides immediate feedback and facilitates self-monitoring [41] as well as provides visual presentation of activity level such as charts [42] has been recommended. Studies have demonstrated a strong relationship between parental support and family inclusion, in the form of verbal encouragement or direct assistance, and increased childhood physical activity levels [22] [42] [39].…”

Section: A Technologyical Solutionmentioning

confidence: 99%

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A Position Paper on Managing Youth Screen Time versus Physical Activity

Altamimi¹,

Skinner²,

Nesbitt³

2015

GSTF J Comput

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Abstract-Childhood obesity is becoming increasingly prolific and problematic. Contributors to childhood obesity include decreased levels of physical activity and increased sedentary behavior. Screen-based entertainment may be an important factor in the development of childhood obesity as children and adolescents prefer to spend time using electronic devices than exercising. While it is difficult to encourage children to cease playing video games, it is possible to change these passive screens to active ones. Information and Communication Technologies (ICTs) have been utilized by academics and researchers to promote levels of physical activity among young people. This paper is part of our continuous research into the use of technology in the facilitation and motivation of children to be more physically active. This paper presents the "MySteps" framework that has been developed to manage youth screen time and exercise performance statistics. By developing technology-based solutions, we intend to increase children and adolescents awareness of their levels of physical activity and screen time. Consequently, self-monitoring and management of screen time and physical activity levels may lead to more active living beginning at an early age and continuing throughout life.

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Section: A Technologyical Solutionmentioning

confidence: 99%

Section: A Technologyical Solutionmentioning

confidence: 99%

Section: A Technologyical Solutionmentioning

confidence: 99%

Section: A Technologyical Solutionmentioning

confidence: 99%

Section: A Technologyical Solutionmentioning

confidence: 99%

See 3 more Smart Citations

A Position Paper on Managing Youth Screen Time versus Physical Activity

Altamimi¹,

Skinner²,

Nesbitt³

2015

GSTF J Comput

View full text Add to dashboard Cite

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Mobile Health Interventions for Improving Health Outcomes in Youth

et al. 2017

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IMPORTANCE Mobile health interventions are increasingly popular in pediatrics; however, it is unclear how effective these interventions are in changing health outcomes.OBJECTIVE To determine the effectiveness of mobile health interventions for improving health outcomes in youth 18 years or younger.DATA SOURCES Studies published through November 30, 2016, were collected through PubMed, Cumulative Index to Nursing and Allied Health Literature, Educational Resources Information Center, and PsychINFO. Backward and forward literature searches were conducted on articles meeting study inclusion criteria. Search terms included telemedicine, eHealth, mobile health, mHealth, app, and mobile application.STUDY SELECTION Search results were limited to infants, children, adolescents, or young adults when possible. Studies were included if quantitative methods were used to evaluate an application of mobile intervention technology in a primary or secondary capacity to promote or modify health behavior in youth 18 years or younger. Studies were excluded if the article was an unpublished dissertation or thesis, the mean age of participants was older than 18 years, the study did not assess a health behavior and disease outcome, or the article did not include sufficient statistics. Inclusion and exclusion criteria were applied by 2 independent coders with 20% overlap. Of 9773 unique articles, 36 articles (containing 37 unique studies with a total of 29 822 participants) met the inclusion criteria. DATA EXTRACTION AND SYNTHESISOf 9773 unique articles, 36 articles (containing 37 unique studies) with a total of 29 822 participants met the inclusion criteria. Effect sizes were calculated from statistical tests that could be converted to standardized mean differences. All aggregate effect sizes and moderator variables were tested using random-effects models. MAIN OUTCOMES AND MEASURES Change in health behavior or disease control.RESULTS A total of 29 822 participants were included in the studies. In studies that reported sex, the total number of females was 11 226 (53.2%). Of those reporting age, the average was 11.35 years. The random effects aggregate effect size of mobile health interventions was significant (n = 37; Cohen d = 0.22; 95% CI, 0.14-0.29). The random effects model indicated that providing mobile health intervention to a caregiver increased the strength of the intervention effect. Studies that involved caregivers in the intervention produced effect sizes (n = 16; Cohen d = 0.28; 95% CI, 0.18-0.39) larger than those that did not include caregivers (n = 21; Cohen d = 0.13; 95% CI, 0.02-0.25). Other coded variables did not moderate study effect size.CONCLUSIONS AND RELEVANCE Mobile health interventions appear to be a viable health behavior change intervention modality for youth. Given the ubiquity of mobile phones, mobile health interventions offer promise in improving public health.

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Mobile phone messaging for preventive health care

Vodopivec‐Jamšek

Jongh²,

Gurol‐Urganci

et al. 2012

Cochrane Database of Systematic Reviews

208

126

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We found very limited evidence that in certain cases mobile phone messaging interventions may support preventive health care, to improve health status and health behaviour outcomes. However, because of the low number of participants in three of the included studies, combined with study limitations of risk of bias and lack of demonstrated causality, the evidence for these effects is of low to moderate quality. The evidence is of high quality only for interventions aimed at smoking cessation. Furthermore, there are significant information gaps regarding the long-term effects, risks and limitations of, and user satisfaction with, such interventions.

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Use of Text Messaging for Monitoring Sugar-sweetened Beverages, Physical Activity, and Screen Time in Children: A Pilot Study

Cited by 187 publications

References 30 publications

A Position Paper on Managing Youth Screen Time versus Physical Activity

A Position Paper on Managing Youth Screen Time versus Physical Activity

Mobile Health Interventions for Improving Health Outcomes in Youth

Mobile phone messaging for preventive health care

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