Associations between Child and Family Level Correlates and Behavioural Patterns in School-Aged Children
Identifying correlates of behavioural patterns are important to target population sub-groups at increased health risk. The aim was to investigate correlates of behavioural patterns comprising four behavioural domains in children. Data were from the HAPPY study when children were 6–8 years (n = 335)...
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2021
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oai:doaj.org-article:3c4e0cad731741eb9f75ea3f701e07a22021-11-25T17:14:37ZAssociations between Child and Family Level Correlates and Behavioural Patterns in School-Aged Children10.3390/children81110232227-9067https://doaj.org/article/3c4e0cad731741eb9f75ea3f701e07a22021-11-01T00:00:00Zhttps://www.mdpi.com/2227-9067/8/11/1023https://doaj.org/toc/2227-9067Identifying correlates of behavioural patterns are important to target population sub-groups at increased health risk. The aim was to investigate correlates of behavioural patterns comprising four behavioural domains in children. Data were from the HAPPY study when children were 6–8 years (n = 335) and 9–11 years (n = 339). Parents reported correlate and behavioural data (dietary intake, physical activity, sedentary behaviour, and sleep). Behavioural data were additionally captured using accelerometers. Latent profile analysis was used to derive patterns. Patterns were identified as healthy, unhealthy, and mixed at both time points. Multinomial logistic regression tested for associations. Girls were more likely to display healthy patterns at 6–8 years and display unhealthy and mixed patterns at 9–11 years than boys, compared to other patterns at the corresponding ages. Increased risk of displaying the unhealthy pattern with higher age was observed at both timepoints. At 9–11 years, higher parental working hours were associated with lower risk of displaying mixed patterns compared to the healthy pattern. Associations observed revealed girls and older children to be at risk for unhealthy patterns, warranting customisation of health efforts to these groups. The number of behaviours included when deriving patterns and the individual behaviours that dominate each pattern appear to be drivers of the associations for child level, but not for family level, correlates.Ninoshka J. D’SouzaMiaobing ZhengGavin AbbottSandrine LioretKylie D. HeskethMDPI AGarticledietphysical activitysedentary behavioursleepchildrencorrelatesPediatricsRJ1-570ENChildren, Vol 8, Iss 1023, p 1023 (2021) |
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diet physical activity sedentary behaviour sleep children correlates Pediatrics RJ1-570 |
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diet physical activity sedentary behaviour sleep children correlates Pediatrics RJ1-570 Ninoshka J. D’Souza Miaobing Zheng Gavin Abbott Sandrine Lioret Kylie D. Hesketh Associations between Child and Family Level Correlates and Behavioural Patterns in School-Aged Children |
description |
Identifying correlates of behavioural patterns are important to target population sub-groups at increased health risk. The aim was to investigate correlates of behavioural patterns comprising four behavioural domains in children. Data were from the HAPPY study when children were 6–8 years (n = 335) and 9–11 years (n = 339). Parents reported correlate and behavioural data (dietary intake, physical activity, sedentary behaviour, and sleep). Behavioural data were additionally captured using accelerometers. Latent profile analysis was used to derive patterns. Patterns were identified as healthy, unhealthy, and mixed at both time points. Multinomial logistic regression tested for associations. Girls were more likely to display healthy patterns at 6–8 years and display unhealthy and mixed patterns at 9–11 years than boys, compared to other patterns at the corresponding ages. Increased risk of displaying the unhealthy pattern with higher age was observed at both timepoints. At 9–11 years, higher parental working hours were associated with lower risk of displaying mixed patterns compared to the healthy pattern. Associations observed revealed girls and older children to be at risk for unhealthy patterns, warranting customisation of health efforts to these groups. The number of behaviours included when deriving patterns and the individual behaviours that dominate each pattern appear to be drivers of the associations for child level, but not for family level, correlates. |
format |
article |
author |
Ninoshka J. D’Souza Miaobing Zheng Gavin Abbott Sandrine Lioret Kylie D. Hesketh |
author_facet |
Ninoshka J. D’Souza Miaobing Zheng Gavin Abbott Sandrine Lioret Kylie D. Hesketh |
author_sort |
Ninoshka J. D’Souza |
title |
Associations between Child and Family Level Correlates and Behavioural Patterns in School-Aged Children |
title_short |
Associations between Child and Family Level Correlates and Behavioural Patterns in School-Aged Children |
title_full |
Associations between Child and Family Level Correlates and Behavioural Patterns in School-Aged Children |
title_fullStr |
Associations between Child and Family Level Correlates and Behavioural Patterns in School-Aged Children |
title_full_unstemmed |
Associations between Child and Family Level Correlates and Behavioural Patterns in School-Aged Children |
title_sort |
associations between child and family level correlates and behavioural patterns in school-aged children |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/3c4e0cad731741eb9f75ea3f701e07a2 |
work_keys_str_mv |
AT ninoshkajdsouza associationsbetweenchildandfamilylevelcorrelatesandbehaviouralpatternsinschoolagedchildren AT miaobingzheng associationsbetweenchildandfamilylevelcorrelatesandbehaviouralpatternsinschoolagedchildren AT gavinabbott associationsbetweenchildandfamilylevelcorrelatesandbehaviouralpatternsinschoolagedchildren AT sandrinelioret associationsbetweenchildandfamilylevelcorrelatesandbehaviouralpatternsinschoolagedchildren AT kyliedhesketh associationsbetweenchildandfamilylevelcorrelatesandbehaviouralpatternsinschoolagedchildren |
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1718412581875482624 |