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BMI trajectories and risk factors among 2-11-year-old children by their immigrant status: evidence from the Longitudinal Study of Australian Children
OBJECTIVE: This study aimed to identify body mass index (BMI) trajectories and their predictors in Australian children by their maternal immigrant status. METHODS: Data on 4142 children aged 2–3 years were drawn from the birth cohort of the Longitudinal Study of Australian Children. BMI was calculat...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6615842/ https://www.ncbi.nlm.nih.gov/pubmed/31289070 http://dx.doi.org/10.1136/bmjopen-2018-026845 |
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author | Zulfiqar, Tehzeeb Burns, Richard A D’Este, Catherine Strazdins, Lyndall |
author_facet | Zulfiqar, Tehzeeb Burns, Richard A D’Este, Catherine Strazdins, Lyndall |
author_sort | Zulfiqar, Tehzeeb |
collection | PubMed |
description | OBJECTIVE: This study aimed to identify body mass index (BMI) trajectories and their predictors in Australian children by their maternal immigrant status. METHODS: Data on 4142 children aged 2–3 years were drawn from the birth cohort of the Longitudinal Study of Australian Children. BMI was calculated according to the International Obesity Task Force cut-off points. Immigrant status was determined by the Australian Bureau of Statistics and the United Nations Development Programme, Human Development Index criteria. Latent class growth analysis estimated distinct BMI trajectories, and multinomial logistic regression analysis examined factors associated with these BMI trajectories. RESULTS: Two BMI groups and six BMI trajectories were identified. The stable trajectories group included high-risk (10%, n=375), moderate-risk (5%, n=215) and low-risk (68%, n=2861) BMI trajectories. The changing trajectories group included delayed-risk (6%, n=234), gradual-risk (8%, n=314) and declining-risk (3%, n=143) BMI trajectories. We found some evidence that children of immigrants from low-and middle-income countries were more likely to have moderate-risk and high-risk BMI trajectories compared with low-risk BMI trajectory. However, these associations were insignificant in fully adjusted models. The explanatory risk factors for moderate-risk and high-risk BMI trajectory were birth weight, family socioeconomic position, and organised sports participation. Our results also suggest that 4–7 years of age may be important for the prevention of overweight/obesity in children. DISCUSSION: A better understanding of the risk factors associated with distinct BMI trajectories in immigrant children will inform effective preventive strategies. Some of these risk factors such as non-participation in organised sports, and high screen time, may also impede the integration of immigrant children into the host culture. Obesity prevention strategies aimed at increasing physical activities in immigrant children could help deliver a social and health benefit by increasing social integration among children of immigrants and Australians. |
format | Online Article Text |
id | pubmed-6615842 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-66158422019-07-28 BMI trajectories and risk factors among 2-11-year-old children by their immigrant status: evidence from the Longitudinal Study of Australian Children Zulfiqar, Tehzeeb Burns, Richard A D’Este, Catherine Strazdins, Lyndall BMJ Open Public Health OBJECTIVE: This study aimed to identify body mass index (BMI) trajectories and their predictors in Australian children by their maternal immigrant status. METHODS: Data on 4142 children aged 2–3 years were drawn from the birth cohort of the Longitudinal Study of Australian Children. BMI was calculated according to the International Obesity Task Force cut-off points. Immigrant status was determined by the Australian Bureau of Statistics and the United Nations Development Programme, Human Development Index criteria. Latent class growth analysis estimated distinct BMI trajectories, and multinomial logistic regression analysis examined factors associated with these BMI trajectories. RESULTS: Two BMI groups and six BMI trajectories were identified. The stable trajectories group included high-risk (10%, n=375), moderate-risk (5%, n=215) and low-risk (68%, n=2861) BMI trajectories. The changing trajectories group included delayed-risk (6%, n=234), gradual-risk (8%, n=314) and declining-risk (3%, n=143) BMI trajectories. We found some evidence that children of immigrants from low-and middle-income countries were more likely to have moderate-risk and high-risk BMI trajectories compared with low-risk BMI trajectory. However, these associations were insignificant in fully adjusted models. The explanatory risk factors for moderate-risk and high-risk BMI trajectory were birth weight, family socioeconomic position, and organised sports participation. Our results also suggest that 4–7 years of age may be important for the prevention of overweight/obesity in children. DISCUSSION: A better understanding of the risk factors associated with distinct BMI trajectories in immigrant children will inform effective preventive strategies. Some of these risk factors such as non-participation in organised sports, and high screen time, may also impede the integration of immigrant children into the host culture. Obesity prevention strategies aimed at increasing physical activities in immigrant children could help deliver a social and health benefit by increasing social integration among children of immigrants and Australians. BMJ Publishing Group 2019-07-09 /pmc/articles/PMC6615842/ /pubmed/31289070 http://dx.doi.org/10.1136/bmjopen-2018-026845 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Public Health Zulfiqar, Tehzeeb Burns, Richard A D’Este, Catherine Strazdins, Lyndall BMI trajectories and risk factors among 2-11-year-old children by their immigrant status: evidence from the Longitudinal Study of Australian Children |
title | BMI trajectories and risk factors among 2-11-year-old children by their immigrant status: evidence from the Longitudinal Study of Australian Children |
title_full | BMI trajectories and risk factors among 2-11-year-old children by their immigrant status: evidence from the Longitudinal Study of Australian Children |
title_fullStr | BMI trajectories and risk factors among 2-11-year-old children by their immigrant status: evidence from the Longitudinal Study of Australian Children |
title_full_unstemmed | BMI trajectories and risk factors among 2-11-year-old children by their immigrant status: evidence from the Longitudinal Study of Australian Children |
title_short | BMI trajectories and risk factors among 2-11-year-old children by their immigrant status: evidence from the Longitudinal Study of Australian Children |
title_sort | bmi trajectories and risk factors among 2-11-year-old children by their immigrant status: evidence from the longitudinal study of australian children |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6615842/ https://www.ncbi.nlm.nih.gov/pubmed/31289070 http://dx.doi.org/10.1136/bmjopen-2018-026845 |
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