Pre-COVID-19 pandemic health-related behaviours in children (2018-2020) and association with being tested for SARS-CoV-2 and testing positive for SARS-CoV-2 (2020-2021): a retrospective cohort study using survey data linked with routine health data in Wales, UK.
Pre-COVID-19 pandemic health-related behaviours in children (2018-2020) and association with being tested for SARS-CoV-2 and testing positive for SARS-CoV-2 (2020-2021): a retrospective cohort study using survey data linked with routine health data in Wales, UK.
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DOI：
10.1136/bmjopen-2022-061344
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发表时间：
2022-09-07
期刊：
影响因子：
2.9
通讯作者：
Brophy, Sinead
中科院分区：
文献类型：
--
作者：
Marchant, Emily;Lowthian, Emily;Crick, Tom;Griffiths, Lucy J.;Fry, Richard;Dadaczynski, Kevin;Okan, Orkan;James, Michaela;Cowley, Laura;Torabi, Fatemeh;Kennedy, Jonathan;Akbari, Ashley;Lyons, Ronan;Brophy, Sinead
检查2019冠状病毒病大流行前（2020年3月之前）小学期间的健康相关行为是否与（1）2020年3月1日至2021年8月31日期间接受SARS-CoV-2检测和（2）检测呈阳性有关。回顾性队列研究使用在线队列调查（2018年1月至2020年2月）与常规PCR SARS-CoV-2检测结果相关联。在英国威尔士（2018-2020）上小学的儿童，他们是小学教育网络（HAPPEN）_学校网络中学生健康和成绩的一部分。获得了n=7062例合格受试者的完整链接记录。39.1%（n=2764）进行了检测（年龄10.6±0.9; 48.9%的女孩），8.1%（n=569）检测为SARS-CoV-2阳性（年龄10.6±1.0; 54.5%的女孩）。使用健康相关行为和人口统计学的逻辑回归来确定与（1）SARS-CoV-2检测和（2）SARS-CoV-2检测阳性相关的因素的OR。食用含糖零食（1-2天/周OR=1.24，95% CI 1.04 ~ 1.49; 5-6天/周OR=1.31，95% CI 1.07 ~ 1.61;参考0天）、能游泳25米（OR=1.21，95%CI 1.06 - 1.39）和年龄（OR=1.25，95%CI 1.16 - 1.35）与SARS-CoV-2检测的可能性增加相关。吃早餐（OR=1.52，95% CI 1.01 - 2.27），每周体力活动≥60 min（1-2天OR=1.69，95% CI 1.04 ~ 2.74; 3-4天OR=1.76，95% CI 1.10 ~ 2.82;参考0天），校外俱乐部参与（OR=1.06，95%CI 1.02 ~ 1.10），会骑自行车（OR=1.39，95%CI 1.00 - 1.93）、年龄（OR=1.16，95%CI 1.05 - 1.28）和女孩（OR=1.21，95%CI 1.00 - 1.46）与SARS-CoV-2检测阳性的可能性增加相关。与最贫困地区（五分位1）相比，生活在最贫困地区（五分位4 OR=0.64，95%CI 0.46至0.90;五分位5 OR=0.64，95%CI 0.46至0.89）的可能性降低。相关性可能与父母的健康知识和监测行为有关。身体活动行为可能包括与他人共同参与和暴露于SARS-CoV-2。鉴于儿童体育活动等与健康有关的行为对发展的重要性，在促进这些健康行为时必须考虑风险与效益的办法。
Examine if pre-COVID-19 pandemic (prior March 2020) health-related behaviours during primary school are associated with (1) being tested for SARS-CoV-2 and (2) testing positive between 1 March 2020 and 31 August 2021. Retrospective cohort study using an online cohort survey (January 2018 to February 2020) linked with routine PCR SARS-CoV-2 test results. Children attending primary schools in Wales (2018–2020), UK, who were part of the Health and Attainment of Pupils in a Primary Education Network (HAPPEN)_school network. Complete linked records of eligible participants were obtained for n=7062 individuals. 39.1% (n=2764) were tested (age 10.6±0.9; 48.9% girls) and 8.1% (n=569) tested positive for SARS-CoV-2 (age 10.6±1.0; 54.5% girls). Logistic regression of health-related behaviours and demographics were used to determine the ORs of factors associated with (1) being tested for SARS-CoV-2 and (2) testing positive for SARS-CoV-2. Consuming sugary snacks (1–2 days/week OR=1.24, 95% CI 1.04 to 1.49; 5–6 days/week OR=1.31, 95% CI 1.07 to 1.61; reference 0 days), can swim 25 m (OR=1.21, 95% CI 1.06 to 1.39) and age (OR=1.25, 95% CI 1.16 to 1.35) were associated with an increased likelihood of being tested for SARS-CoV-2. Eating breakfast (OR=1.52, 95% CI 1.01 to 2.27), weekly physical activity ≥60 min (1–2 days OR=1.69, 95% CI 1.04 to 2.74; 3–4 days OR=1.76, 95% CI 1.10 to 2.82; reference 0 days), out-of-school club participation (OR=1.06, 95% CI 1.02 to 1.10), can ride a bike (OR=1.39, 95% CI 1.00 to 1.93), age (OR=1.16, 95% CI 1.05 to 1.28) and girls (OR=1.21, 95% CI 1.00 to 1.46) were associated with an increased likelihood of testing positive for SARS-CoV-2. Living in least deprived areas (quintile 4 OR=0.64, 95% CI 0.46 to 0.90; quintile 5 OR=0.64, 95% CI 0.46 to 0.89) compared with the most deprived (quintile 1) was associated with a decreased likelihood. Associations may be related to parental health literacy and monitoring behaviours. Physically active behaviours may include coparticipation with others and exposure to SARS-CoV-2. A risk-versus-benefit approach must be considered in relation to promoting these health behaviours, given the importance of health-related behaviours such as childhood physical activity for development.
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影响因子：
2.9
作者：
James M;Marchant E;Defeyter MA;Woodside J;Brophy S
通讯作者：
Brophy S
影响因子：
3.7
作者：
Marchant E;Griffiths L;Crick T;Fry R;Hollinghurst J;James M;Cowley L;Abbasizanjani H;Torabi F;Thompson DA;Kennedy J;Akbari A;Gravenor MB;Lyons RA;Brophy S
通讯作者：
Brophy S
影响因子：
4.5
作者：
Christian, Danielle;Todd, Charlotte;Brophy, Sinead
通讯作者：
Brophy, Sinead
影响因子：
6.3
作者：
Beale S;Braithwaite I;Navaratnam AM;Hardelid P;Rodger A;Aryee A;Byrne TE;Fong EWL;Fragaszy E;Geismar C;Kovar J;Nguyen V;Patel P;Shrotri M;Aldridge R;Hayward A;Virus Watch Collaborative
通讯作者：
Virus Watch Collaborative
DOI：
10.1016/j.glohj.2020.11.002
发表时间：
2020-12
期刊：
Global health journal (Amsterdam, Netherlands)
影响因子：
--
作者：
Lange KW;Nakamura Y
通讯作者：
Nakamura Y