Growth monitoring

Hall, David

doi:10.1136/adc.82.1.10

Cited by 77 publications

(57 citation statements)

References 37 publications

(28 reference statements)

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“…Short-term growth may be regarded as pulsatile rather than constant. However, from a community perspective, repetitive measurements in individual children will provide a means to assess a child’s growth over time [5]. In a large Danish study, the effect of maternal factors such as age and education has been found to be important for the percentage of babies being breast-fed [8].…”

Section: Discussionmentioning

confidence: 99%

“…Also, early detection of growth disturbances and early identification of the underlying cause are crucial for appropriate treatment. In order to be able to assess growth and development of ill children it is a basic requirement to know the normal growth pattern in respective populations [3, 5, 6, 7, 8]. However, most accessible normative data and growth charts have inherent problems: (1) usually they are based on old, even historical, data; (2) very often they do not reflect the current socioeconomic and racial and demographic situation in populations where they are needed; (3) there are patterns of growth and development through time such as the issue of secular trends and the increasing incidence of obesity and overweight in industrialized countries that need to be addressed and taken into account if one is to interpret an individual child’s growth and development.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Computer-Guided, Population-Based Screening System for Growth Disorders (CrescNet®) and On-Line Generation of Normative Data for Growth and Development

Kieß¹,

Gausche²,

Keller³

et al. 2001

Horm Res Paediatr

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The mean age at which the diagnosis of growth disorders such as Turner’s syndrome, growth hormone (GH) deficiency or true GH-dependent gigantism is established is still rather late in many countries around the world. In addition, the question of secular trends in a given population and the rate at which childhood obesity is increasing in industrialized countries make it mandatory to establish a time-adapted system to develop percentiles for body height, weight and body mass index (BMI) and also to develop a screening system for growth disorders. In 1998 we established a network, now involving more than 160 paediatric practices in Germany and seven paediatric endocrinology departments. Paediatricians record heights, weights and growth velocities of all children in their care and systematically feed the data into the database at our centre usually by mailing formatted, structured data tickets. Data are then continuously analysed at the centre and the paediatricians in the network are informed immediately about their individual patients’ growth situations via phone or E-mail (feedback system). Regular annual conferences including structured reports, scientific presentations and discussion groups are organized for all participants at our centre. By May 2001, the data of 83,721 children and adolescents had been analysed. The mean values for height were 1–1.5 cm higher than the mean values in the German Synthetic Growth Curve, which serves as an internal standard. However, and most importantly, in comparison with the internal standard and historical normative data from Germany and Switzerland, there is a continuous increase in the 97th percentile for weight and BMI, while the third percentile remains unchanged. In addition, many children with short stature and tall stature due to a variety of endocrine disorders and genetic diseases which had not been diagnosed previously are now being identified. In conclusion, the databank allows for a continuous adaptation of normative curves based on a large number of children in a given population, i.e. eastern Germany. Secondly, the system allows for detection of pathological growth curves and is already serving to diagnose growth disorders in a defined population in a systematic way.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Computer-Guided, Population-Based Screening System for Growth Disorders (CrescNet®) and On-Line Generation of Normative Data for Growth and Development

Kieß¹,

Gausche²,

Keller³

et al. 2001

Horm Res Paediatr

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“…The United Kingdom guideline (‘Coventry Consensus’) concentrates on the referral of children with short stature after a single height measurement at school entrance [a height <0.4th centile (–2.66 SDS) at 5 years of age] [8]. Recently a discussion about this criterion was started after the publication of a systematic review by Fayter et al [10 ]about height screening during the primary school years.…”

Section: Referral Criteria For Children With Short Staturementioning

confidence: 99%

“…Two growth monitoring guidelines were based on consensus meetings [8,9]. The United Kingdom guideline (‘Coventry Consensus’) concentrates on the referral of children with short stature after a single height measurement at school entrance [a height <0.4th centile (–2.66 SDS) at 5 years of age] [8].…”

Section: Referral Criteria For Children With Short Staturementioning

confidence: 99%

Diagnostic Approach in Children with Short Stature

et al. 2009

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For early detection of pathological causes of growth failure proper referral criteria are needed, as well as a thorough clinical, radiological and laboratory assessment. In this minireview we first discuss the two consensus-based and one evidence-based guidelines for referral that have been published. The evidence-based guidelines result in a sensitivity of approximately 80% at a false-positive rate of 2%. Then, relevant clues from the medical history and physical examination are reviewed, and specific investigations based on clinical suspicion listed. In the absence of abnormal clinical findings, an X-ray of the hand/wrist and a laboratory screen are usually performed. Scientific evidence for the various components of laboratory screening is scarce, but accumulated experience and theoretical considerations have led to a list of investigations that may be considered until more evidence is available.

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“…Some authors have been critical of using RMD as a means of monitoring trends in childhood obesity (9) , although other authors have argued that the monitoring process would be assisted by a policy of universal measurement when children start school and do advocate the use of RMD for monitoring obesity (6,8,15) . The current study supports the latter view.…”

Section: Resultsmentioning

confidence: 99%

Serial cross-sectional analysis of prevalence of overweight and obese children between 1998 and 2003 in Leeds, UK, using routinely measured data

Edwards

Clarke

Ransley

et al. 2010

Public Health Nutr.

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ObjectiveTo monitor growth trends in young children in order to ascertain success (or otherwise) in halting the rapid rise in childhood obesity prevalence, and to assess the suitability of using routinely measured data for this purpose.DesignRetrospective serial cross-sectional analyses of the proportion of obese children (logistic regression) and BMI standard deviation score (linear regression/maps) were undertaken. BMI coverage was calculated as percentage of sample with data (‘usual’), percentage of total births and percentage of census values. BMI was standardised for age and sex (British reference data set).SettingMetropolitan Leeds, UK.SubjectsChildren aged 3 to 6 years. Weight, height, sex, age and postcode data were collected from Primary Care Trust records.ResultsData were collected on 42 396 children, of whom 13 020 (31 %) were excluded due to missing data/data problems. Seventy-two per cent of 3-year-olds and 92 % of 5-year-olds had data recorded (‘usual’ coverage). From 1998 to 2003 there was a significant increase in the proportion of obese children (4·5 % to 6·6 %; P < 0·001); children were 1·5 times more likely to be obese in 2003 than in 1998.ConclusionsChildhood obesity rose significantly between 1998 and 2003. Routinely measured data are an important means of monitoring population-level obesity trends, although more effort is required to reduce the quantity of data-entry errors, for relatively low marginal cost.

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Growth monitoring

Cited by 77 publications

References 37 publications

Computer-Guided, Population-Based Screening System for Growth Disorders (CrescNet®) and On-Line Generation of Normative Data for Growth and Development

Computer-Guided, Population-Based Screening System for Growth Disorders (CrescNet®) and On-Line Generation of Normative Data for Growth and Development

Diagnostic Approach in Children with Short Stature

Serial cross-sectional analysis of prevalence of overweight and obese children between 1998 and 2003 in Leeds, UK, using routinely measured data

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