Dataset Information

Challenges in Collating Spirometry Reference Data for South-Asian Children: An Observational Study.

ABSTRACT: METHODS:Spirometry datasets from South-Asian children were collated from four centres in India and five within the UK. Records with transcription errors, missing values for height or spirometry, and implausible values were excluded(n = 110). RESULTS:Following exclusions, cross-sectional data were available from 8,124 children (56.3% male; 5-17 years). When compared with GLI-predicted values from White Europeans, forced expired volume in 1s (FEV1) and forced vital capacity (FVC) in South-Asian children were on average 15% lower, ranging from 4-19% between centres. By contrast, proportional reductions in FEV1 and FVC within all but two datasets meant that the FEV1/FVC ratio remained independent of ethnicity. The 'GLI-Other' equation fitted data from North India reasonably well while 'GLI-Black' equations provided a better approximation for South-Asian data than the 'GLI-White' equation. However, marked discrepancies in the mean lung function z-scores between centres especially when examined according to socio-economic conditions precluded derivation of a single South-Asian GLI-adjustment. CONCLUSION:Until improved and more robust prediction equations can be derived, we recommend the use of 'GLI-Black' equations for interpreting most South-Asian data, although 'GLI-Other' may be more appropriate for North Indian data. Prospective data collection using standardised protocols to explore potential sources of variation due to socio-economic circumstances, secular changes in growth/predictors of lung function and ethnicities within the South-Asian classification are urgently required.

SUBMITTER: Lum S

PROVIDER: S-EPMC4847904 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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Challenges in Collating Spirometry Reference Data for South-Asian Children: An Observational Study.

Lum Sooky S Bountziouka Vassiliki V Quanjer Philip P Sonnappa Samatha S Wade Angela A Beardsmore Caroline C Chhabra Sunil K SK Chudasama Rajesh K RK Cook Derek G DG Harding Seeromanie S Kuehni Claudia E CE Prasad K V V KV Whincup Peter H PH Lee Simon S Stocks Janet J

PloS one 20160427 4

<h4>Methods</h4>Spirometry datasets from South-Asian children were collated from four centres in India and five within the UK. Records with transcription errors, missing values for height or spirometry, and implausible values were excluded(n = 110).<h4>Results</h4>Following exclusions, cross-sectional data were available from 8,124 children (56.3% male; 5-17 years). When compared with GLI-predicted values from White Europeans, forced expired volume in 1s (FEV1) and forced vital capacity (FVC) in ...[more]

PMID: 27119342

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Project description:ObjectiveWe sought to explore various correlates of blood pressure (BP) and hypertension, and to identify the most important aggregate combination of correlates for BP in South Asian children.DesignCross-sectional study SETTING: Community-based recruitment in two Canadian cities PARTICIPANTS: South Asian children (n=762) provided a range of physiological, lifestyle and social variables. BP was assessed using an automated device. Body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR) and BP were transformed to z-scores using published standards.Outcome measuresLinear and logistic regression analyses were used to explore associations between the range of variables with BP z-scores and hypertension while stepwise regression was used to identify aggregate factors that provided explanatory capacity for systolic BP (SBP) and diastolic BP (DBP) z-scores.ResultsA range of variables were associated with BP z-score and hypertension in unadjusted analysis. On adjustment for confounders, the association between age (?=-0.054, 95%?CI=-0.078 to 0.029), female sex (?=-0.208, 95% CI=-0.350 to -0.067), height (?=0.022, 95% CI=0.011 to 0.033), weight (?=0.047, 95% CI=0.040 to 0.055), BMI z-score (?=0.292, 95%?CI=0.249 to 0.336), WC z-score (?=0.273, 95% CI=0.219 to 0.326), WHtR z-score (?=0.289, 95% CI=0.236 to 0.342), heart rate (?=0.016, 95% CI=0.010 to 0.022), child's perception of body image (?=0.183, 95% CI=0.128 to 0.239) and grip strength (?=0.025, 95% CI=0.007 to 0.043) with SBP z-score remained. In stepwise regression, age, sex, BMI z-score, heart rate and weight accounted for 30% of the variance of SBP z-score, while age, BMI z-score, heart rate and daily fast food intake accounted for 23% of the DBP z-score variance.ConclusionOur findings suggest that variables, such as age, sex, height, adiposity and heart rate, provide stronger explanatory capacity to BP variance and hypertension risk than other variables in South Asian children.

Dataset Information

Challenges in Collating Spirometry Reference Data for South-Asian Children: An Observational Study.

Publications

Challenges in Collating Spirometry Reference Data for South-Asian Children: An Observational Study.

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