Cargando…
Cohort profile: Pacific Islands Families (PIF) growth study, Auckland, New Zealand
PURPOSE: This article profiles a birth cohort of Pacific children participating in an observational prospective study and describes the study protocol used at ages 14–15 years to investigate how food and activity patterns, metabolic risk and family and built environment are related to rates of physi...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5129037/ https://www.ncbi.nlm.nih.gov/pubmed/27807091 http://dx.doi.org/10.1136/bmjopen-2016-013407 |
_version_ | 1782470521271615488 |
---|---|
author | Rush, E Oliver, M Plank, L D Taylor, S Iusitini, L Jalili-Moghaddam, S Savila, F Paterson, J Tautolo, E |
author_facet | Rush, E Oliver, M Plank, L D Taylor, S Iusitini, L Jalili-Moghaddam, S Savila, F Paterson, J Tautolo, E |
author_sort | Rush, E |
collection | PubMed |
description | PURPOSE: This article profiles a birth cohort of Pacific children participating in an observational prospective study and describes the study protocol used at ages 14–15 years to investigate how food and activity patterns, metabolic risk and family and built environment are related to rates of physical growth of Pacific children. PARTICIPANTS: From 2000 to 2015, the Pacific Islands Families Study has followed, from birth, the growth and development of over 1000 Pacific children born in Auckland, New Zealand. In 2014, 931 (66%) of the original cohort had field measures of body composition, blood pressure and glycated haemoglobin. A nested subsample (n=204) was drawn by randomly selecting 10 males and 10 females from each decile of body weight. These participants had measurement of body composition by dual-energy X-ray absorptiometry, food frequency, 6 min walk test and accelerometer-determined physical activity and sedentary behaviours, and blood biomarkers for metabolic disease such as diabetes. Built environment variables were generated from individual addresses. FINDINGS TO DATE: Compared to the Centres for Disease Control and Prevention (CDC) reference population with mean SD scores (SDS) of 0, this cohort of 931 14-year-olds was taller, weighed more and had a higher body mass index (BMI) (mean SDS height >0.6, weight >1.6 and BMI >1.4). 7 of 10 youth were overweight or obese. The nested-sampling frame achieved an even distribution by body weight. FUTURE PLANS: Cross-sectional relationships between body size, fatness and growth rate, food patterns, activity patterns, pubertal development, risks for diabetes and hypertension and the family and wider environment will be examined. In addition, analyses will investigate relationships with data collected earlier in the life course and measures of the cohort in the future. Understanding past and present influences on child growth and health will inform timely interventions to optimise future health and reduce inequalities for Pacific people. |
format | Online Article Text |
id | pubmed-5129037 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-51290372016-12-02 Cohort profile: Pacific Islands Families (PIF) growth study, Auckland, New Zealand Rush, E Oliver, M Plank, L D Taylor, S Iusitini, L Jalili-Moghaddam, S Savila, F Paterson, J Tautolo, E BMJ Open Epidemiology PURPOSE: This article profiles a birth cohort of Pacific children participating in an observational prospective study and describes the study protocol used at ages 14–15 years to investigate how food and activity patterns, metabolic risk and family and built environment are related to rates of physical growth of Pacific children. PARTICIPANTS: From 2000 to 2015, the Pacific Islands Families Study has followed, from birth, the growth and development of over 1000 Pacific children born in Auckland, New Zealand. In 2014, 931 (66%) of the original cohort had field measures of body composition, blood pressure and glycated haemoglobin. A nested subsample (n=204) was drawn by randomly selecting 10 males and 10 females from each decile of body weight. These participants had measurement of body composition by dual-energy X-ray absorptiometry, food frequency, 6 min walk test and accelerometer-determined physical activity and sedentary behaviours, and blood biomarkers for metabolic disease such as diabetes. Built environment variables were generated from individual addresses. FINDINGS TO DATE: Compared to the Centres for Disease Control and Prevention (CDC) reference population with mean SD scores (SDS) of 0, this cohort of 931 14-year-olds was taller, weighed more and had a higher body mass index (BMI) (mean SDS height >0.6, weight >1.6 and BMI >1.4). 7 of 10 youth were overweight or obese. The nested-sampling frame achieved an even distribution by body weight. FUTURE PLANS: Cross-sectional relationships between body size, fatness and growth rate, food patterns, activity patterns, pubertal development, risks for diabetes and hypertension and the family and wider environment will be examined. In addition, analyses will investigate relationships with data collected earlier in the life course and measures of the cohort in the future. Understanding past and present influences on child growth and health will inform timely interventions to optimise future health and reduce inequalities for Pacific people. BMJ Publishing Group 2016-11-02 /pmc/articles/PMC5129037/ /pubmed/27807091 http://dx.doi.org/10.1136/bmjopen-2016-013407 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ 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 and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Epidemiology Rush, E Oliver, M Plank, L D Taylor, S Iusitini, L Jalili-Moghaddam, S Savila, F Paterson, J Tautolo, E Cohort profile: Pacific Islands Families (PIF) growth study, Auckland, New Zealand |
title | Cohort profile: Pacific Islands Families (PIF) growth study, Auckland, New Zealand |
title_full | Cohort profile: Pacific Islands Families (PIF) growth study, Auckland, New Zealand |
title_fullStr | Cohort profile: Pacific Islands Families (PIF) growth study, Auckland, New Zealand |
title_full_unstemmed | Cohort profile: Pacific Islands Families (PIF) growth study, Auckland, New Zealand |
title_short | Cohort profile: Pacific Islands Families (PIF) growth study, Auckland, New Zealand |
title_sort | cohort profile: pacific islands families (pif) growth study, auckland, new zealand |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5129037/ https://www.ncbi.nlm.nih.gov/pubmed/27807091 http://dx.doi.org/10.1136/bmjopen-2016-013407 |
work_keys_str_mv | AT rushe cohortprofilepacificislandsfamiliespifgrowthstudyaucklandnewzealand AT oliverm cohortprofilepacificislandsfamiliespifgrowthstudyaucklandnewzealand AT plankld cohortprofilepacificislandsfamiliespifgrowthstudyaucklandnewzealand AT taylors cohortprofilepacificislandsfamiliespifgrowthstudyaucklandnewzealand AT iusitinil cohortprofilepacificislandsfamiliespifgrowthstudyaucklandnewzealand AT jalilimoghaddams cohortprofilepacificislandsfamiliespifgrowthstudyaucklandnewzealand AT savilaf cohortprofilepacificislandsfamiliespifgrowthstudyaucklandnewzealand AT patersonj cohortprofilepacificislandsfamiliespifgrowthstudyaucklandnewzealand AT tautoloe cohortprofilepacificislandsfamiliespifgrowthstudyaucklandnewzealand |