Prediction of adolescent and adult adiposity outcomes from early life anthropometrics

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Prediction of adolescent and adult adiposity outcomes from early life anthropometrics. / Graversen, Lise; Sørensen, Thorkild I A; Gerds, Thomas A; Petersen, Liselotte; Sovio, Ulla; Kaakinen, Marika; Sandbaek, Annelli; Laitinen, Jaana; Taanila, Anja; Pouta, Anneli; Järvelin, Marjo-Riitta; Obel, Carsten.

In: Obesity, Vol. 23, No. 1, 01.2015, p. 162-169.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Graversen, L, Sørensen, TIA, Gerds, TA, Petersen, L, Sovio, U, Kaakinen, M, Sandbaek, A, Laitinen, J, Taanila, A, Pouta, A, Järvelin, M-R & Obel, C 2015, 'Prediction of adolescent and adult adiposity outcomes from early life anthropometrics', Obesity, vol. 23, no. 1, pp. 162-169. https://doi.org/10.1002/oby.20921

APA

Graversen, L., Sørensen, T. I. A., Gerds, T. A., Petersen, L., Sovio, U., Kaakinen, M., Sandbaek, A., Laitinen, J., Taanila, A., Pouta, A., Järvelin, M-R., & Obel, C. (2015). Prediction of adolescent and adult adiposity outcomes from early life anthropometrics. Obesity, 23(1), 162-169. https://doi.org/10.1002/oby.20921

Vancouver

Graversen L, Sørensen TIA, Gerds TA, Petersen L, Sovio U, Kaakinen M et al. Prediction of adolescent and adult adiposity outcomes from early life anthropometrics. Obesity. 2015 Jan;23(1):162-169. https://doi.org/10.1002/oby.20921

Author

Graversen, Lise ; Sørensen, Thorkild I A ; Gerds, Thomas A ; Petersen, Liselotte ; Sovio, Ulla ; Kaakinen, Marika ; Sandbaek, Annelli ; Laitinen, Jaana ; Taanila, Anja ; Pouta, Anneli ; Järvelin, Marjo-Riitta ; Obel, Carsten. / Prediction of adolescent and adult adiposity outcomes from early life anthropometrics. In: Obesity. 2015 ; Vol. 23, No. 1. pp. 162-169.

Bibtex

@article{65159d28c150446092c80cd7a07b6d47,
title = "Prediction of adolescent and adult adiposity outcomes from early life anthropometrics",
abstract = "OBJECTIVES: Maternal body mass index (BMI), birth weight, and preschool BMI may help identify children at high risk of overweight as they are (1) similarly linked to adolescent overweight at different stages of the obesity epidemic, (2) linked to adult obesity and metabolic alterations, and (3) easily obtainable in health examinations in young children. The aim was to develop early childhood prediction models of adolescent overweight, adult overweight, and adult obesity.METHODS: Prediction models at various ages in the Northern Finland Birth Cohort born in 1966 (NFBC1966) were developed. Internal validation was tested using a bootstrap design, and external validation was tested for the model predicting adolescent overweight using the Northern Finland Birth Cohort born in 1986 (NFBC1986).RESULTS: A prediction model developed in the NFBC1966 to predict adolescent overweight, applied to the NFBC1986, and aimed at labelling 10% as {"}at risk{"} on the basis of anthropometric information collected until 5 years of age showed that half of those at risk in fact did become overweight. This group constituted one-third of all who became overweight.CONCLUSIONS: Our prediction model identified a subgroup of children at very high risk of becoming overweight, which may be valuable in public health settings dealing with obesity prevention.",
author = "Lise Graversen and S{\o}rensen, {Thorkild I A} and Gerds, {Thomas A} and Liselotte Petersen and Ulla Sovio and Marika Kaakinen and Annelli Sandbaek and Jaana Laitinen and Anja Taanila and Anneli Pouta and Marjo-Riitta J{\"a}rvelin and Carsten Obel",
note = "{\textcopyright} 2014 The Obesity Society.",
year = "2015",
month = jan,
doi = "10.1002/oby.20921",
language = "English",
volume = "23",
pages = "162--169",
journal = "Obesity",
issn = "1930-7381",
publisher = "Wiley-Blackwell",
number = "1",

}

RIS

TY - JOUR

T1 - Prediction of adolescent and adult adiposity outcomes from early life anthropometrics

AU - Graversen, Lise

AU - Sørensen, Thorkild I A

AU - Gerds, Thomas A

AU - Petersen, Liselotte

AU - Sovio, Ulla

AU - Kaakinen, Marika

AU - Sandbaek, Annelli

AU - Laitinen, Jaana

AU - Taanila, Anja

AU - Pouta, Anneli

AU - Järvelin, Marjo-Riitta

AU - Obel, Carsten

N1 - © 2014 The Obesity Society.

PY - 2015/1

Y1 - 2015/1

N2 - OBJECTIVES: Maternal body mass index (BMI), birth weight, and preschool BMI may help identify children at high risk of overweight as they are (1) similarly linked to adolescent overweight at different stages of the obesity epidemic, (2) linked to adult obesity and metabolic alterations, and (3) easily obtainable in health examinations in young children. The aim was to develop early childhood prediction models of adolescent overweight, adult overweight, and adult obesity.METHODS: Prediction models at various ages in the Northern Finland Birth Cohort born in 1966 (NFBC1966) were developed. Internal validation was tested using a bootstrap design, and external validation was tested for the model predicting adolescent overweight using the Northern Finland Birth Cohort born in 1986 (NFBC1986).RESULTS: A prediction model developed in the NFBC1966 to predict adolescent overweight, applied to the NFBC1986, and aimed at labelling 10% as "at risk" on the basis of anthropometric information collected until 5 years of age showed that half of those at risk in fact did become overweight. This group constituted one-third of all who became overweight.CONCLUSIONS: Our prediction model identified a subgroup of children at very high risk of becoming overweight, which may be valuable in public health settings dealing with obesity prevention.

AB - OBJECTIVES: Maternal body mass index (BMI), birth weight, and preschool BMI may help identify children at high risk of overweight as they are (1) similarly linked to adolescent overweight at different stages of the obesity epidemic, (2) linked to adult obesity and metabolic alterations, and (3) easily obtainable in health examinations in young children. The aim was to develop early childhood prediction models of adolescent overweight, adult overweight, and adult obesity.METHODS: Prediction models at various ages in the Northern Finland Birth Cohort born in 1966 (NFBC1966) were developed. Internal validation was tested using a bootstrap design, and external validation was tested for the model predicting adolescent overweight using the Northern Finland Birth Cohort born in 1986 (NFBC1986).RESULTS: A prediction model developed in the NFBC1966 to predict adolescent overweight, applied to the NFBC1986, and aimed at labelling 10% as "at risk" on the basis of anthropometric information collected until 5 years of age showed that half of those at risk in fact did become overweight. This group constituted one-third of all who became overweight.CONCLUSIONS: Our prediction model identified a subgroup of children at very high risk of becoming overweight, which may be valuable in public health settings dealing with obesity prevention.

U2 - 10.1002/oby.20921

DO - 10.1002/oby.20921

M3 - Journal article

C2 - 25354480

VL - 23

SP - 162

EP - 169

JO - Obesity

JF - Obesity

SN - 1930-7381

IS - 1

ER -

ID: 134780869