Abstract
Abstract
Objective
To examine whether the prevalence of age- and sex-adjusted BMI at, or above, the 85th, 95th and 99.7th percentiles continues to decline in New Zealand preschool children, over time.
Methods
As part of a national screening programme, 438,972 New Zealand 4-year-old children had their height and weight measured between 2011 and 2019. Age- and sex-adjusted BMI was calculated using WHO Growth Standards and the prevalence of children at, or above, the 85th, 95th, and 99.7th percentiles and at, or below, the 2nd percentile were determined. Log-binomial models were used to estimate linear time trends of ≥85th, ≥95th and ≥99.7th percentiles for the overall sample and separately by sex, deprivation, ethnicity and urban-rural classification.
Results
The percentage of children at, or above, the 85th, 95th and 99.7th percentile reduced by 4.9% [95% CI: 4.1%, 5.7%], 3.5% [95% CI: 2.9%, 4.1%], and 0.9% [95% CI: 0.7%, 1.2%], respectively, between ‘2011/12’ and ‘2018/19’. There was evidence of a decreasing linear trend (risk reduction, per year) for the percentage of children ≥85th (risk ratio (RR): 0.980 [95% CI: 0.978, 0.982]), ≥95th (RR: 0.966 [95% CI: 0.962, 0.969]) and ≥99.7th (RR: 0.957 [95% CI: 0.950, 0.964]) percentiles. Downward trends were also evident across all socioeconomic indicators (sex, ethnicity, deprivation, and urban-rural classification), for each of the BMI thresholds. Larger absolute decreases were evident for children residing in the most deprived compared with the least deprived areas, at each BMI threshold. There appeared to be no consistent trend for the percentage of children ≤2nd percentile.
Conclusions
Reassuringly, continued declines of children with age- and sex-adjusted BMI at, or above, the 85th, 95th and 99.7th percentiles are occurring over time, overall and across all sociodemographic indicators, with little evidence for consistent trends in the prevalence of children at, or below, the 2nd percentile.
Publisher
Springer Science and Business Media LLC
Subject
Nutrition and Dietetics,Endocrinology, Diabetes and Metabolism,Medicine (miscellaneous)
Reference56 articles.
1. Ministry of Health. New Zealand Health Survey: Annual Data Explorer 2020/21 [Internet]. 2021 [cited 2022 Jan 11]. Available from: https://minhealthnz.shinyapps.io/nz-health-survey-2020-21-annual-data-explorer/
2. Stoner L, Matheson A, Hamlin M, Skidmore P. Environmental determinants of childhood obesity: A specific focus on Māori and Pasifika in New Zealand. Perspect Public Health. 2016;136:18–20.
3. Gibb S, Shackleton N, Audas R, Taylor B, Swinburn B, Zhu T, et al. Child obesity prevalence across communities in New Zealand: 2010–2016. Aust N Z J Public Health. 2019;43:176–81.
4. Tupai-Firestone R, Tuisano H, Manukia M, Kaholokula K, Foliaki S, Kingi TK, et al. Understanding Pasifika youth and the obesogenic environment, Auckland and Wellington, New Zealand. N Z Med J. 2016;129:23–35.
5. Pearson AL, Bentham G, Day P, Kingham S. Associations between neighbourhood environmental characteristics and obesity and related behaviours among adult New Zealanders. BMC Public Health. 2014;14:553–13.