Wearable Artificial Intelligence for Assessing Physical Activity in High School Children
<p dir="ltr">Eighty one percent of adolescents aged 11–17 years are inadequately physically active worldwide. Physical activity (PA) recommendations for high school children have not been studied previously in schools in the Qatar region. The objectives of the study were: (i) to asse...
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2022
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| _version_ | 1864513507672719360 |
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| author | Arfan Ahmed (17541309) |
| author2 | Sarah Aziz (17541312) Uvais Qidwai (16888698) Faisal Farooq (13134579) Jingxuan Shan (4711089) Murugan Subramanian (19450318) Lotfi Chouchane (61840) Rola EINatour (19450321) Alaa Abd-Alrazaq (17430900) Satchidananda Pandas (19450324) Javaid Sheikh (5534825) |
| author2_role | author author author author author author author author author author |
| author_facet | Arfan Ahmed (17541309) Sarah Aziz (17541312) Uvais Qidwai (16888698) Faisal Farooq (13134579) Jingxuan Shan (4711089) Murugan Subramanian (19450318) Lotfi Chouchane (61840) Rola EINatour (19450321) Alaa Abd-Alrazaq (17430900) Satchidananda Pandas (19450324) Javaid Sheikh (5534825) |
| author_role | author |
| dc.creator.none.fl_str_mv | Arfan Ahmed (17541309) Sarah Aziz (17541312) Uvais Qidwai (16888698) Faisal Farooq (13134579) Jingxuan Shan (4711089) Murugan Subramanian (19450318) Lotfi Chouchane (61840) Rola EINatour (19450321) Alaa Abd-Alrazaq (17430900) Satchidananda Pandas (19450324) Javaid Sheikh (5534825) |
| dc.date.none.fl_str_mv | 2022-12-30T09:00:00Z |
| dc.identifier.none.fl_str_mv | 10.3390/su15010638 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Wearable_Artificial_Intelligence_for_Assessing_Physical_Activity_in_High_School_Children/26788252 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biomedical and clinical sciences Clinical sciences Nutrition and dietetics Health sciences Public health Sports science and exercise children adolescents physical activity exercise wearable devices fitness trackers Fitbit Qatar |
| dc.title.none.fl_str_mv | Wearable Artificial Intelligence for Assessing Physical Activity in High School Children |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">Eighty one percent of adolescents aged 11–17 years are inadequately physically active worldwide. Physical activity (PA) recommendations for high school children have not been studied previously in schools in the Qatar region. The objectives of the study were: (i) to assess the level of compliance of the recommended PA and to assess if there are any gender differences; and (ii) to analyze the recommended step count compliance during school and non-school days. An observational cross-sectional study was conducted. Twenty-nine children (12 boys and 17 girls) aged 13–17 years (15.24 ± 1.46) took part in this study. Participants wore Fitbit Charge 5 wrist bands for three weeks to collect various digital biomarkers including moderate-to-vigorous physical activity (MVPA) and step counts (tracking during out-of-school time and school time). Based on this study, high school children in the two Qatar region schools did not meet the MVPA and steps/day recommendation by the established agencies: 38% of the total study group met the recommended 60 min/day of activity (50% boys, 29% girls). Gender differences were also observed in PA levels and steps per day: for non-school days, 17% met the recommended 10,000 steps/day (25% boys, 12% girls). There was a pattern of greater PA performance and steps during the weekdays as opposed to the weekend, but these values showed no robust evidence in favor of H1 or statistical significance for step counts. However, the evidence was robust in favor of H1 (difference between weekend and weekday) due to a statistically significant difference for meeting the 60 min/day activity. While further studies are required to establish if this is a general trend in Qatari schools, this pilot study does highlight the need to design more effective programs and messaging strategies to improve PA levels in the high school population.</p><h2>Other Information</h2><p dir="ltr">Published in: Sustainability<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/su15010638" target="_blank">https://dx.doi.org/10.3390/su15010638</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_baf5fc4c9f0a94b23b5f230b9e949e91 |
| identifier_str_mv | 10.3390/su15010638 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/26788252 |
| publishDate | 2022 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Wearable Artificial Intelligence for Assessing Physical Activity in High School ChildrenArfan Ahmed (17541309)Sarah Aziz (17541312)Uvais Qidwai (16888698)Faisal Farooq (13134579)Jingxuan Shan (4711089)Murugan Subramanian (19450318)Lotfi Chouchane (61840)Rola EINatour (19450321)Alaa Abd-Alrazaq (17430900)Satchidananda Pandas (19450324)Javaid Sheikh (5534825)Biomedical and clinical sciencesClinical sciencesNutrition and dieteticsHealth sciencesPublic healthSports science and exercisechildrenadolescentsphysical activityexercisewearable devicesfitness trackersFitbitQatar<p dir="ltr">Eighty one percent of adolescents aged 11–17 years are inadequately physically active worldwide. Physical activity (PA) recommendations for high school children have not been studied previously in schools in the Qatar region. The objectives of the study were: (i) to assess the level of compliance of the recommended PA and to assess if there are any gender differences; and (ii) to analyze the recommended step count compliance during school and non-school days. An observational cross-sectional study was conducted. Twenty-nine children (12 boys and 17 girls) aged 13–17 years (15.24 ± 1.46) took part in this study. Participants wore Fitbit Charge 5 wrist bands for three weeks to collect various digital biomarkers including moderate-to-vigorous physical activity (MVPA) and step counts (tracking during out-of-school time and school time). Based on this study, high school children in the two Qatar region schools did not meet the MVPA and steps/day recommendation by the established agencies: 38% of the total study group met the recommended 60 min/day of activity (50% boys, 29% girls). Gender differences were also observed in PA levels and steps per day: for non-school days, 17% met the recommended 10,000 steps/day (25% boys, 12% girls). There was a pattern of greater PA performance and steps during the weekdays as opposed to the weekend, but these values showed no robust evidence in favor of H1 or statistical significance for step counts. However, the evidence was robust in favor of H1 (difference between weekend and weekday) due to a statistically significant difference for meeting the 60 min/day activity. While further studies are required to establish if this is a general trend in Qatari schools, this pilot study does highlight the need to design more effective programs and messaging strategies to improve PA levels in the high school population.</p><h2>Other Information</h2><p dir="ltr">Published in: Sustainability<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/su15010638" target="_blank">https://dx.doi.org/10.3390/su15010638</a></p>2022-12-30T09:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3390/su15010638https://figshare.com/articles/journal_contribution/Wearable_Artificial_Intelligence_for_Assessing_Physical_Activity_in_High_School_Children/26788252CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/267882522022-12-30T09:00:00Z |
| spellingShingle | Wearable Artificial Intelligence for Assessing Physical Activity in High School Children Arfan Ahmed (17541309) Biomedical and clinical sciences Clinical sciences Nutrition and dietetics Health sciences Public health Sports science and exercise children adolescents physical activity exercise wearable devices fitness trackers Fitbit Qatar |
| status_str | publishedVersion |
| title | Wearable Artificial Intelligence for Assessing Physical Activity in High School Children |
| title_full | Wearable Artificial Intelligence for Assessing Physical Activity in High School Children |
| title_fullStr | Wearable Artificial Intelligence for Assessing Physical Activity in High School Children |
| title_full_unstemmed | Wearable Artificial Intelligence for Assessing Physical Activity in High School Children |
| title_short | Wearable Artificial Intelligence for Assessing Physical Activity in High School Children |
| title_sort | Wearable Artificial Intelligence for Assessing Physical Activity in High School Children |
| topic | Biomedical and clinical sciences Clinical sciences Nutrition and dietetics Health sciences Public health Sports science and exercise children adolescents physical activity exercise wearable devices fitness trackers Fitbit Qatar |