Straatmann, Viviane, Pearce, Anna, Hope, Steven, Barr, Ben
ORCID: 0000-0002-4208-9475, Whitehead, Margaret
ORCID: 0000-0001-5614-6576, Law, Catherine and Taylor-Robinson, DC
ORCID: 0000-0002-5828-7724
(2018)
How well can poor child health and development be predicted by data collected in early childhood?
Journal of Epidemiology and Community Health, 72 (12).
pp. 1132-1140.
ISSN 0143-005X, 1470-2738
Abstract
Background Identifying children at risk of poor developmental outcomes remains a challenge, but is important for better targeting children who may benefit from additional support. We explored whether data routinely collected in early life predict which children will have language disability, overweight/obesity or behavioural problems in later childhood. Methods We used data on 10 262 children from the UK Millennium Cohort Study (MCS) collected at 9 months, 3, and 11 years old. Outcomes assessed at age 11 years were language disability, overweight/obesity and socioemotional behavioural problems. We compared the discriminatory capacity of three models: (1) using data currently routinely collected around the time of birth; (2) Model 1 with additional data routinely collected at 3 years; (3) a statistically selected model developed using a larger set of early year’s risk factors for later child health outcomes, available in the MCS—but not all routinely collected. Results At age 11, 6.7% of children had language disability, 26.9% overweight/obesity and 8.2% socioemotional behavioural problems. Model discrimination for language disability was moderate in all three models (area under the curve receiver-operator characteristic 0.71, 0.74 and 0.76, respectively). For overweight/obesity, it was poor in model 1 (0.66) and moderate for model 2 (0.73) and model 3 (0.73). Socioemotional behavioural problems were also identified with moderate discrimination in all models (0.71; 0.77; 0.79, respectively). Conclusion Language disability, socioemotional behavioural problems and overweight/obesity in UK children aged 11 years are common and can be predicted with moderate discrimination using data routinely collected in the first 3 years of life.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | child health, health inequalities, public health policy, social epidemiology, health services |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 24 Sep 2018 08:41 |
| Last Modified: | 01 Mar 2026 08:05 |
| DOI: | 10.1136/jech-2018-211028 |
| Open Access URL: | http://dx.doi.org/10.1136/jech-2018-211028 |
| Related Websites: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3026649 |
| Disclaimer: | The University of Liverpool is not responsible for content contained on other websites from links within repository metadata. Please contact us if you notice anything that appears incorrect or inappropriate. |
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