Wearable Artificial Intelligence for Assessing Physical Activity in High School Children
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...
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Veröffentlicht in: | Sustainability 2023-01, Vol.15 (1), p.638 |
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creator | Ahmed, Arfan Aziz, Sarah Qidwai, Uvais Farooq, Faisal Shan, Jingxuan Subramanian, Murugan Chouchane, Lotfi EINatour, Rola Abd-Alrazaq, Alaa Pandas, Satchidananda Sheikh, Javaid |
description | 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. |
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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.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su15010638</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Analysis ; Artificial intelligence ; Children ; Elementary school students ; Exercise ; Gender ; Health aspects ; High schools ; Medical research ; Medicine, Experimental ; Physical activity ; Physical fitness ; Schools ; Secondary schools ; Sensors ; Sex differences ; Statistical analysis ; Statistics ; Student health services ; Teenagers ; Wrist</subject><ispartof>Sustainability, 2023-01, Vol.15 (1), p.638</ispartof><rights>COPYRIGHT 2022 MDPI AG</rights><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c396t-e9c9518d29e6819a0f28e8532d7cfc547f2d5f4ea387b644a492c1ada02f4eed3</citedby><cites>FETCH-LOGICAL-c396t-e9c9518d29e6819a0f28e8532d7cfc547f2d5f4ea387b644a492c1ada02f4eed3</cites><orcidid>0000-0002-4025-5767</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Ahmed, Arfan</creatorcontrib><creatorcontrib>Aziz, Sarah</creatorcontrib><creatorcontrib>Qidwai, Uvais</creatorcontrib><creatorcontrib>Farooq, Faisal</creatorcontrib><creatorcontrib>Shan, Jingxuan</creatorcontrib><creatorcontrib>Subramanian, Murugan</creatorcontrib><creatorcontrib>Chouchane, Lotfi</creatorcontrib><creatorcontrib>EINatour, Rola</creatorcontrib><creatorcontrib>Abd-Alrazaq, Alaa</creatorcontrib><creatorcontrib>Pandas, Satchidananda</creatorcontrib><creatorcontrib>Sheikh, Javaid</creatorcontrib><title>Wearable Artificial Intelligence for Assessing Physical Activity in High School Children</title><title>Sustainability</title><description>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.</description><subject>Analysis</subject><subject>Artificial intelligence</subject><subject>Children</subject><subject>Elementary school students</subject><subject>Exercise</subject><subject>Gender</subject><subject>Health aspects</subject><subject>High schools</subject><subject>Medical research</subject><subject>Medicine, Experimental</subject><subject>Physical activity</subject><subject>Physical fitness</subject><subject>Schools</subject><subject>Secondary schools</subject><subject>Sensors</subject><subject>Sex differences</subject><subject>Statistical analysis</subject><subject>Statistics</subject><subject>Student health services</subject><subject>Teenagers</subject><subject>Wrist</subject><issn>2071-1050</issn><issn>2071-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNptkU1LAzEQhhdRsNRe_AUBTwqt-divHJeitlBQrKK3kGYnuynpbk2yYv-9KxVqwZnDDC_PO3N4o-iS4AljHN_6jiSY4JTlJ9GA4oyMCU7w6Z_9PBp5v8Z9MUY4SQfR-xtIJ1cWUOGC0UYZadG8CWCtqaBRgHTrUOE9eG-aCj3VO29UzxQqmE8Tdsg0aGaqGi1V3bYWTWtjSwfNRXSmpfUw-p3D6PX-7mU6Gy8eH-bTYjFWjKdhDFzxhOQl5ZDmhEusaQ55wmiZKa2SONO0THQMkuXZKo1jGXOqiCwlpr0KJRtGV_u7W9d-dOCDWLeda_qXgmYpoQRnmByoSloQptFtcFJtjFeiyOKMYprQtKcm_1B9l7Axqm1Am14_MlwfGXomwFeoZOe9mC-fj9mbPatc670DLbbObKTbCYLFT37ikB_7Brm8ilA</recordid><startdate>20230101</startdate><enddate>20230101</enddate><creator>Ahmed, Arfan</creator><creator>Aziz, Sarah</creator><creator>Qidwai, Uvais</creator><creator>Farooq, Faisal</creator><creator>Shan, Jingxuan</creator><creator>Subramanian, Murugan</creator><creator>Chouchane, Lotfi</creator><creator>EINatour, Rola</creator><creator>Abd-Alrazaq, Alaa</creator><creator>Pandas, Satchidananda</creator><creator>Sheikh, Javaid</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>4U-</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0002-4025-5767</orcidid></search><sort><creationdate>20230101</creationdate><title>Wearable Artificial Intelligence for Assessing Physical Activity in High School Children</title><author>Ahmed, Arfan ; Aziz, Sarah ; Qidwai, Uvais ; Farooq, Faisal ; Shan, Jingxuan ; Subramanian, Murugan ; Chouchane, Lotfi ; EINatour, Rola ; Abd-Alrazaq, Alaa ; Pandas, Satchidananda ; Sheikh, Javaid</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c396t-e9c9518d29e6819a0f28e8532d7cfc547f2d5f4ea387b644a492c1ada02f4eed3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Analysis</topic><topic>Artificial intelligence</topic><topic>Children</topic><topic>Elementary school students</topic><topic>Exercise</topic><topic>Gender</topic><topic>Health aspects</topic><topic>High schools</topic><topic>Medical research</topic><topic>Medicine, Experimental</topic><topic>Physical activity</topic><topic>Physical fitness</topic><topic>Schools</topic><topic>Secondary schools</topic><topic>Sensors</topic><topic>Sex differences</topic><topic>Statistical analysis</topic><topic>Statistics</topic><topic>Student health services</topic><topic>Teenagers</topic><topic>Wrist</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ahmed, Arfan</creatorcontrib><creatorcontrib>Aziz, Sarah</creatorcontrib><creatorcontrib>Qidwai, Uvais</creatorcontrib><creatorcontrib>Farooq, Faisal</creatorcontrib><creatorcontrib>Shan, Jingxuan</creatorcontrib><creatorcontrib>Subramanian, Murugan</creatorcontrib><creatorcontrib>Chouchane, Lotfi</creatorcontrib><creatorcontrib>EINatour, Rola</creatorcontrib><creatorcontrib>Abd-Alrazaq, Alaa</creatorcontrib><creatorcontrib>Pandas, Satchidananda</creatorcontrib><creatorcontrib>Sheikh, Javaid</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>University Readers</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ahmed, Arfan</au><au>Aziz, Sarah</au><au>Qidwai, Uvais</au><au>Farooq, Faisal</au><au>Shan, Jingxuan</au><au>Subramanian, Murugan</au><au>Chouchane, Lotfi</au><au>EINatour, Rola</au><au>Abd-Alrazaq, Alaa</au><au>Pandas, Satchidananda</au><au>Sheikh, Javaid</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Wearable Artificial Intelligence for Assessing Physical Activity in High School Children</atitle><jtitle>Sustainability</jtitle><date>2023-01-01</date><risdate>2023</risdate><volume>15</volume><issue>1</issue><spage>638</spage><pages>638-</pages><issn>2071-1050</issn><eissn>2071-1050</eissn><abstract>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.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/su15010638</doi><orcidid>https://orcid.org/0000-0002-4025-5767</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Analysis Artificial intelligence Children Elementary school students Exercise Gender Health aspects High schools Medical research Medicine, Experimental Physical activity Physical fitness Schools Secondary schools Sensors Sex differences Statistical analysis Statistics Student health services Teenagers Wrist |
title | Wearable Artificial Intelligence for Assessing Physical Activity in High School Children |
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