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Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Agreement between routine and research measurement of infant height and weight
M Bryant1, G Santorelli2, L Fairley2
1Clinical Trials Research Unit, University of Leeds, Leeds, UK Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Trust, Bradford, UK.
Insights
Routine infant health records show good agreement with researcher data for infant weight and height. However, wide limits of agreement, particularly for height, suggest caution when using routine data for research.
Area of Science:
- Pediatric Health Monitoring
- Biomedical Research Data Integrity
Background:
- Routine infant growth data collection is standard practice in many countries.
- These data hold significant potential for use in health monitoring and research.
- Ensuring the accuracy and reliability of this data is crucial for valid research outcomes.
Purpose of the Study:
- To assess the agreement between infant length/height and weight measurements from routine health records and researcher-collected data.
- To evaluate the feasibility and accuracy of using routine infant data for research purposes.
Main Methods:
- Comparison of height/length and weight data at 6, 12, and 24 months from the Born in Bradford UK birth cohort.
- Routine data collected by health visitors were compared with researcher-collected data within a 2-month window.
- Age-adjusted data were analyzed using Bland Altman plots to determine agreement.
Main Results:
- Agreement was observed between routine and researcher data, with better concordance for weight than for height.
- Routine data showed a tendency to underestimate length at 6 months and overestimate at 12 and 24 months.
- Weight measurements from routine data slightly overestimated infant weight across all measured ages, with wide limits of agreement for height.
Conclusions:
- Routine infant data collection is a feasible method for research, despite observed wide limits of agreement.
- Methodological variations and clinical practice variability may contribute to discrepancies between data sources.
- Ongoing training and assessment for healthcare professionals are essential to maintain data quality for routine health monitoring and research.
Unlabelled:
In many countries, routine data relating to growth of infants are collected as a means of tracking health and illness up to school age. These have potential to be used in research. For health monitoring and research, data should be accurate and reliable. This study aimed to determine the agreement between length/height and weight measurements from routine infant records and researcher-collected data.
Methods:
Height/length and weight at ages 6, 12 and 24 months from the longitudinal UK birth cohort (born in Bradford; n=836-1280) were compared with routine data collected by health visitors within 2 months of the research data (n=104-573 for different comparisons). Data were age adjusted and compared using Bland Altman plots.
Results:
There was agreement between data sources, albeit weaker for height than for weight. Routine data tended to underestimate length/height at 6 months (0.5 cm (95% CI -4.0 to 4.9)) and overestimate it at 12 (-0.3 cm (95% CI -0.5 to 4.0)) and 24 months (0.3 cm (95% CI -4.0 to 3.4)). Routine data slightly overestimated weight at all three ages (range -0.04 kg (95% CI -1.2 to 0.9) to -0.04 (95% CI -0.7 to 0.6)). Limits of agreement were wide, particularly for height. Differences were generally random, although routine data tended to underestimate length in taller infants and underestimate weight in lighter infants.
Conclusions:
Routine data can provide an accurate and feasible method of data collection for research, though wide limits of agreement between data sources may be observed. Differences could be due to methodological issues; but may relate to variability in clinical practice. Continued provision of appropriate training and assessment is essential for health professionals responsible for collecting routine data.
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