Maternal and infant prediction of the child BMI trajectories; studies across two generations of Northern Finland birth cohorts
Background/objective Children BMI is a longitudinal phenotype, developing through interplays between genetic and environmental factors. Whilst childhood obesity is escalating, we require a better understanding of its early origins and variation across generations to prevent it. Subjects/methods We d...
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Online Access: | http://hdl.handle.net/10044/1/85477 https://doi.org/10.1038/s41366-020-00695-0 |
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ftimperialcol:oai:spiral.imperial.ac.uk:10044/1/85477 2023-05-15T17:42:28+02:00 Maternal and infant prediction of the child BMI trajectories; studies across two generations of Northern Finland birth cohorts Nedelec, R Miettunen, J Mannikko, M Jarvelin, M-R Sebert, S UNIVERSITY OF OULU 2020-09-26 http://hdl.handle.net/10044/1/85477 https://doi.org/10.1038/s41366-020-00695-0 English eng Springer Nature [academic journals on nature.com] International Journal of Obesity 0307-0565 http://hdl.handle.net/10044/1/85477 doi:10.1038/s41366-020-00695-0 Nil © The Author(s), under exclusive licence to Springer Nature Limited 2020. The final publication is available at Springer via https://doi.org/10.1038/s41366-020-00695-0 414 404 Science & Technology Life Sciences & Biomedicine Endocrinology & Metabolism Nutrition & Dietetics BODY-MASS INDEX DEVELOPMENTAL TRAJECTORIES GROWTH ASSOCIATION ADIPOSITY ADULTHOOD OBESITY PATTERNS WEIGHT 11 Medical and Health Sciences 13 Education Journal Article 2020 ftimperialcol https://doi.org/10.1038/s41366-020-00695-0 2021-04-15T22:39:11Z Background/objective Children BMI is a longitudinal phenotype, developing through interplays between genetic and environmental factors. Whilst childhood obesity is escalating, we require a better understanding of its early origins and variation across generations to prevent it. Subjects/methods We designed a cross-cohort study including 12,040 Finnish children from the Northern Finland Birth Cohorts 1966 and 1986 (NFBC1966 and NFBC1986) born before or at the start of the obesity epidemic. We used group-based trajectory modelling to identify BMI trajectories from 2 to 20 years. We subsequently tested their associations with early determinants (mother and child) and the possible difference between generations, adjusted for relevant biological and socioeconomic confounders. Results We identified four BMI trajectories, ‘stable-low’ (34.8%), ‘normal’ (44.0%), ‘stable-high’ (17.5%) and ‘early-increase’ (3.7%). The ‘early-increase’ trajectory represented the highest risk for obesity. We analysed a dose-response association of maternal pre-pregnancy BMI and smoking with BMI trajectories. The directions of effect were consistent across generations and the effect sizes tended to increase from earlier generation to later. Respectively for NFBC1966 and NFBC1986, the adjusted risk ratios of being in the early-increase group were 1.08 (1.06–1.10) and 1.12 (1.09–1.15) per unit of pre-pregnancy BMI and 1.44 (1.05–1.96) and 1.48 (1.17–1.87) in offspring of smoking mothers compared to non-smokers. We observed similar relations with infant factors including birthweight for gestational age and peak weight velocity. In contrast, the age at adiposity peak in infancy was associated with the BMI trajectories in NFBC1966 but did not replicate in NFBC1986. Conclusions Exposures to adverse maternal predictors were associated with a higher risk obesity trajectory and were consistent across generations. However, we found a discordant association for the timing of adiposity peak over a 20-year period. This suggests the role of residual environmental factors, such as nutrition, and warrants additional research to understand the underlying gene–environment interplay. Article in Journal/Newspaper Northern Finland Imperial College London: Spiral International Journal of Obesity 45 2 404 414 |
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Open Polar |
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Imperial College London: Spiral |
op_collection_id |
ftimperialcol |
language |
English |
topic |
Science & Technology Life Sciences & Biomedicine Endocrinology & Metabolism Nutrition & Dietetics BODY-MASS INDEX DEVELOPMENTAL TRAJECTORIES GROWTH ASSOCIATION ADIPOSITY ADULTHOOD OBESITY PATTERNS WEIGHT 11 Medical and Health Sciences 13 Education |
spellingShingle |
Science & Technology Life Sciences & Biomedicine Endocrinology & Metabolism Nutrition & Dietetics BODY-MASS INDEX DEVELOPMENTAL TRAJECTORIES GROWTH ASSOCIATION ADIPOSITY ADULTHOOD OBESITY PATTERNS WEIGHT 11 Medical and Health Sciences 13 Education Nedelec, R Miettunen, J Mannikko, M Jarvelin, M-R Sebert, S Maternal and infant prediction of the child BMI trajectories; studies across two generations of Northern Finland birth cohorts |
topic_facet |
Science & Technology Life Sciences & Biomedicine Endocrinology & Metabolism Nutrition & Dietetics BODY-MASS INDEX DEVELOPMENTAL TRAJECTORIES GROWTH ASSOCIATION ADIPOSITY ADULTHOOD OBESITY PATTERNS WEIGHT 11 Medical and Health Sciences 13 Education |
description |
Background/objective Children BMI is a longitudinal phenotype, developing through interplays between genetic and environmental factors. Whilst childhood obesity is escalating, we require a better understanding of its early origins and variation across generations to prevent it. Subjects/methods We designed a cross-cohort study including 12,040 Finnish children from the Northern Finland Birth Cohorts 1966 and 1986 (NFBC1966 and NFBC1986) born before or at the start of the obesity epidemic. We used group-based trajectory modelling to identify BMI trajectories from 2 to 20 years. We subsequently tested their associations with early determinants (mother and child) and the possible difference between generations, adjusted for relevant biological and socioeconomic confounders. Results We identified four BMI trajectories, ‘stable-low’ (34.8%), ‘normal’ (44.0%), ‘stable-high’ (17.5%) and ‘early-increase’ (3.7%). The ‘early-increase’ trajectory represented the highest risk for obesity. We analysed a dose-response association of maternal pre-pregnancy BMI and smoking with BMI trajectories. The directions of effect were consistent across generations and the effect sizes tended to increase from earlier generation to later. Respectively for NFBC1966 and NFBC1986, the adjusted risk ratios of being in the early-increase group were 1.08 (1.06–1.10) and 1.12 (1.09–1.15) per unit of pre-pregnancy BMI and 1.44 (1.05–1.96) and 1.48 (1.17–1.87) in offspring of smoking mothers compared to non-smokers. We observed similar relations with infant factors including birthweight for gestational age and peak weight velocity. In contrast, the age at adiposity peak in infancy was associated with the BMI trajectories in NFBC1966 but did not replicate in NFBC1986. Conclusions Exposures to adverse maternal predictors were associated with a higher risk obesity trajectory and were consistent across generations. However, we found a discordant association for the timing of adiposity peak over a 20-year period. This suggests the role of residual environmental factors, such as nutrition, and warrants additional research to understand the underlying gene–environment interplay. |
author2 |
UNIVERSITY OF OULU |
format |
Article in Journal/Newspaper |
author |
Nedelec, R Miettunen, J Mannikko, M Jarvelin, M-R Sebert, S |
author_facet |
Nedelec, R Miettunen, J Mannikko, M Jarvelin, M-R Sebert, S |
author_sort |
Nedelec, R |
title |
Maternal and infant prediction of the child BMI trajectories; studies across two generations of Northern Finland birth cohorts |
title_short |
Maternal and infant prediction of the child BMI trajectories; studies across two generations of Northern Finland birth cohorts |
title_full |
Maternal and infant prediction of the child BMI trajectories; studies across two generations of Northern Finland birth cohorts |
title_fullStr |
Maternal and infant prediction of the child BMI trajectories; studies across two generations of Northern Finland birth cohorts |
title_full_unstemmed |
Maternal and infant prediction of the child BMI trajectories; studies across two generations of Northern Finland birth cohorts |
title_sort |
maternal and infant prediction of the child bmi trajectories; studies across two generations of northern finland birth cohorts |
publisher |
Springer Nature [academic journals on nature.com] |
publishDate |
2020 |
url |
http://hdl.handle.net/10044/1/85477 https://doi.org/10.1038/s41366-020-00695-0 |
genre |
Northern Finland |
genre_facet |
Northern Finland |
op_source |
414 404 |
op_relation |
International Journal of Obesity 0307-0565 http://hdl.handle.net/10044/1/85477 doi:10.1038/s41366-020-00695-0 Nil |
op_rights |
© The Author(s), under exclusive licence to Springer Nature Limited 2020. The final publication is available at Springer via https://doi.org/10.1038/s41366-020-00695-0 |
op_doi |
https://doi.org/10.1038/s41366-020-00695-0 |
container_title |
International Journal of Obesity |
container_volume |
45 |
container_issue |
2 |
container_start_page |
404 |
op_container_end_page |
414 |
_version_ |
1766144328535638016 |