Evidence map›Paper›PMID 34582440›Full record

ArticlePLoS medicine2021

Regional differences in short stature in England between 2006 and 2019: A cross-sectional analysis from the National Child Measurement Programme.

Joanna Orr, Joseph Freer, Joan K Morris, Caroline Hancock, Robert Walton, Leo Dunkel, Helen L Storr, Andrew J Prendergast

Abstract read
In one paragraph

Article in PLoS medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Assessment of childhood short stature: a GP guide.The British journal of general practice : the journal of the Royal College of General Practitioners · 2023
    Article
  10. Inequalities in the assessment of childhood short stature.The British journal of general practice : the journal of the Royal College of General Practitioners · 2023
    Article
  11. Article
  12. Article
  13. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Joanna OrrQueen Mary University of London, London, United Kingdom.ORCID 0000-0003-4749-9139
Joseph FreerQueen Mary University of London, London, United Kingdom.ORCID 0000-0002-5114-7059
Joan K MorrisSt George's University of London, London, United Kingdom.ORCID 0000-0002-7164-612X
Caroline HancockPublic Health England, London, United Kingdom.ORCID 0000-0003-2153-8769
Robert WaltonQueen Mary University of London, London, United Kingdom.
Leo DunkelQueen Mary University of London, London, United Kingdom.
Helen L StorrQueen Mary University of London, London, United Kingdom.ORCID 0000-0002-9963-1931
Andrew J PrendergastQueen Mary University of London, London, United Kingdom.ORCID 0000-0001-7904-7992

Funding

Wellcome TrustWellcome Trust 108065/Z/15/Z
6 · The paper itself

Abstract

backgroundShort stature, defined as height for age more than 2 standard deviations (SDs) below the population median, is an important indicator of child health. Short stature (often termed stunting) has been widely researched in low- and middle-income countries (LMICs), but less is known about the extent and burden in high-income settings. We aimed to map the prevalence of short stature in children aged 4-5 years in England between 2006 and 2019. METHODS AND

findingsWe used data from the National Child Measurement Programme (NCMP) for the school years 2006-2007 to 2018-2019. All children attending state-maintained primary schools in England are invited to participate in the NCMP, and heights from a total of 7,062,071 children aged 4-5 years were analysed. We assessed short stature, defined as a height-for-age standard deviation score (SDS) below -2 using the United Kingdom WHO references, by sex, index of multiple deprivation (IMD), ethnicity, and region. Geographic clustering of short stature was analysed using spatial analysis in SaTScan. The prevalence of short stature in England was 1.93% (95% confidence interval (CI) 1.92-1.94). Ethnicity adjusted spatial analyses showed geographic heterogeneity of short stature, with high prevalence clusters more likely in the North and Midlands, leading to 4-fold variation between local authorities (LAs) with highest and lowest prevalence of short stature. Short stature was linearly associated with IMD, with almost 2-fold higher prevalence in the most compared with least deprived decile (2.56% (2.53-2.59) vs. 1.38% (1.35-1.41)). There was ethnic heterogeneity: Short stature prevalence was lowest in Black children (0.64% (0.61-0.67)) and highest in Indian children (2.52% (2.45-2.60)) and children in other ethnic categories (2.57% (2.51-2.64)). Girls were more likely to have short stature than boys (2.09% (2.07-2.10) vs. 1.77% (1.76-1.78), respectively). Short stature prevalence declined over time, from 2.03% (2.01-2.05) in 2006-2010 to 1.82% (1.80-1.84) in 2016-2019. Short stature declined at all levels of area deprivation, with faster declines in more deprived areas, but disparities by IMD quintile were persistent. This study was conducted cross-sectionally at an area level, and, therefore, we cannot make any inferences about the individual causes of short stature.

conclusionsIn this study, we observed a clear social gradient and striking regional variation in short stature across England, including a North-South divide. These findings provide impetus for further investigation into potential socioeconomic influences on height and the factors underlying regional variation.

Indexed as

Body HeightChild, PreschoolCross-Sectional StudiesEnglandFemaleGrowth DisordersHumansMalePrevalenceSex FactorsSocioeconomic Factors

Identifiers

PMID34582440
PMCPMC8478195

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.