Can Wearable Cameras Be Used to Validate School-Aged Children’s Lifestyle Behaviours?

Everson, Bethan; Mackintosh, Kelly A.; McNarry, Melitta A.; Todd, Charlotte; Stratton, Gareth

doi:10.3390/children6020020

Cited by 29 publications

(47 citation statements)

References 64 publications

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“…Automated wearable cameras when used alongside accelerometery and inclinometers could provide important information on where the behaviour occurs, as well as the type of behaviour being performed [74]. However, given participants may be wearing the device in situations unsuitable for photography, research involving this technology remains problematic [75]. Radiofrequency identification and open beacon proximity tags hold potential to assess the location of behaviours at home (e.g., bedroom, lounge or kitchen); however, such technology is currently expensive and difficult to implement in homes due to their weak Wi-Fi coverage [76], compared with environments where it has been trialled previously, such as offices [77] and cares homes [78].…”

Section: Discussionmentioning

confidence: 99%

Associations between the Home Physical Environment and Children’s Home-Based Physical Activity and Sitting

Sheldrick

Maitland

Mackintosh

et al. 2019

IJERPH

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It is important to understand the correlates of children’s physical activity (PA) and sitting at home, where children spend significant time. The home social environment has an important influence; however, much less is known about the home physical environment. Therefore, the study aimed to assess relationships between the physical environment and children’s sitting and PA at home. In total, 235 child-parent dyads were included in the analyses. Children spent 67% of their time at home sitting. Linear regression analyses examined associations between physical home environmental factors obtained via an audit and children’s (55% girl, 10.2 ± 0.7) objective PA and sitting at home. Following adjustment for socio-demographics and social environmental factors, an open plan living area (OPLA), musical instrument accessibility and availability, and perceived house size were negatively and positively associated, whereas media equipment accessibility and availability was positively and negatively associated with sitting and standing, respectively. Additionally, an OPLA was positively associated with total and moderate-to-vigorous PA. Furthermore, sitting breaks were positively associated with objective garden size and negatively associated with digital TV. The physical home environment may have an important influence on children’s sitting, standing and PA at home; therefore, interventions that target this environment are needed.

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Section: Discussionmentioning

confidence: 99%

Associations between the Home Physical Environment and Children’s Home-Based Physical Activity and Sitting

Sheldrick

Maitland

Mackintosh

et al. 2019

IJERPH

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“…Current efforts for the development of large-scale, non-invasive dietary behavioral monitoring systems appropriate for use by children and adolescents in challenging real-life environments, like school, are limited [ 21 ]. However, novel methodologies are constantly being tested [ 22 ], including our own efforts for collection of large-scale Big Health Data about the dietary and physical activity habits of school children [ 23 ]. However, such large-scale deployments require conscious efforts for preliminary testing outside the lab, in the target use environment, to identify potential use constraints and optimize the deployed methodologies.…”

Section: Introductionmentioning

confidence: 99%

Formative Evaluation of a Smartphone App for Monitoring Daily Meal Distribution and Food Selection in Adolescents: Acceptability and Usability Study

Langlet¹,

Maramis²,

Diou³

et al. 2020

JMIR Mhealth Uhealth

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Background Obesity interventions face the problem of weight regain after treatment as a result of low compliance. Mobile health (mHealth) technologies could potentially increase compliance and aid both health care providers and patients. Objective This study aimed to evaluate the acceptability and usability and define system constraints of an mHealth system used to monitor dietary habits of adolescents in real life, as a first step in the development of a self-monitoring and lifestyle management system against adolescent obesity. Methods We recruited 26 students from a high school in Stockholm, Sweden. After a 30-minute information meeting and 5-minute individual instruction on how to use an mHealth system (smartphone with app and two external sensors), participants used it for 2-3 weeks to objectively collect dietary habits. The app and sensors were used by the participants, without supervision, to record as many main meals and snacks as possible in real life. Feasibility was assessed following the “mHealth evidence reporting and assessment checklist,” and usability was assessed by questionnaires. Compliance was estimated based on system use, where a registration frequency of 3 main meals (breakfast, lunch, and dinner) per day for the period of the experiment, constituted 100% compliance. Results Participants included in the analysis had a mean age of 16.8 years (SD 0.7 years) and BMI of 21.9 kg/m2 (SD 4.1 kg/m2). Due to deviations from study instructions, 2 participants were excluded from the analysis. During the study, 6 participants required additional information on system use. The system received a ‘Good’ grade (77.1 of 100 points) on the System Usability Scale, with most participants reporting that they were comfortable using the smartphone app. Participants expressed a willingness to use the app mostly at home, but also at school; most of their improvement suggestions concerned design choices for the app. Of all main meals, the registration frequency increased from 70% the first week to 76% the second week. Participants reported that 40% of the registered meals were home-prepared, while 34% of the reported drinks contained sugar. On average, breakfasts took place at 8:30 AM (from 5:00 AM to 2:00 PM), lunches took place at 12:15 PM (from 10:15 AM to 6:15 PM), and dinners took place at 7:30 PM (from 3:00 PM to 11:45 PM). When comparing meal occurrence during weekdays vs weekends, breakfasts and lunches were eaten 3 hours later during weekends, while dinner timing was unaffected. Conclusions From an infrastructural and functional perspective, system use was feasible in the current context. The smartphone app appears to have high acceptability and usability in high school students, which are the intended end-users. The system appears promising as a relatively low-effort method to provide real-life dietary habit measurements associated with overweight and obesity risk.

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“…First, the lifestyle factors of children and their parents, socioeconomic factors and the history of dental caries were self‐reported, although the validity of some of the questionnaire items have been reported. Children’s self‐reported screen time reported a smaller than actual time . This suggests that our results may be underestimated; however, the direction of the results will not change.…”

Section: Discussionmentioning

confidence: 68%

“…Children's self-reported screen time reported a smaller than actual time. 42 This suggests that our results may be underestimated; however, the direction of the results will not change. Second, we were not able to include questions on oral health behaviors.…”

Section: Strength and Limitationsmentioning

confidence: 78%

Association of short sleep duration and long media use with caries in school children

Asaka

Sekine

Yamada

et al. 2020

Pediatrics International

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Background Individual lifestyle factors are associated with dental caries in children. The aim of this study was to investigate comprehensively the association between dental caries in elementary school children and lifestyle factors of the children and their parents. Methods Children from five elementary schools in Takaoka city, Toyama Prefecture, Japan (1,699: 848 boys, 851 girls, age range 6–12 years) participated in a survey conducted in March 2016. Questions on socioeconomic status (SES) and lifestyle factors in the children and their parents were included. Children who received treatment for three or more dental caries were defined as having many caries. Logistic regression analysis was performed to evaluate whether these factors were associated with the number of caries. Results The percentage of children with many caries (≥3) was 38.4%. In univariate analysis, being in 5th or 6th grade, frequent snacking, short sleep duration, long hours of media use, paternal smoking, and parental skipping of breakfast were significantly associated with many caries. Lack of affluence was marginally significant. In multivariate analysis, the association of short hours of sleep and long hours of media use remained significant. The adjusted odds ratio (OR) for media use of 1–2 h and more than 2 h were 1.79 (95% confidence interval [CI]: 1.30–2.46) and 2.24 (95% CI: 1.61–3.11) respectively. The adjusted OR for less than 8 h of sleep was 1.49 (95% CI: 1.07–2.06). Conclusions Long duration of media use and short duration of sleep were associated with dental caries. Establishing a healthy lifestyle is necessary for preventing dental caries in children.

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Can Wearable Cameras Be Used to Validate School-Aged Children’s Lifestyle Behaviours?

Cited by 29 publications

References 64 publications

Associations between the Home Physical Environment and Children’s Home-Based Physical Activity and Sitting

Associations between the Home Physical Environment and Children’s Home-Based Physical Activity and Sitting

Formative Evaluation of a Smartphone App for Monitoring Daily Meal Distribution and Food Selection in Adolescents: Acceptability and Usability Study

Association of short sleep duration and long media use with caries in school children

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