Growth performance of Punjabi children aged 6–12 years

Singh, Sukhraj; Sidhu, Loveleen; Malhotra, Pankaj

doi:10.1080/03014468700006892

Cited by 7 publications

(5 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Availability of nutrients and medical health care in India, at present, is JOURNAL Scatter plot of adjusted target height (aTH) z-score against child's height z-score in the lower socioeconomic class. As a result, people from villages are migrating to cities where per capita income and standard of living is higher 6 In our study, as in other studies, parents and children in the LSC were significantly shorter than their USC counterparts, and the USC children were also significantly taller, heavier and had a higher BMI 14 . 11,2005 Brought to you by | University of California -San Francisco Authenticated Download Date | 2/20/15 9:18 AM best in the urban USC, followed by the urban LSC, and is least in the villages 13 .…”

Section: Discussionsupporting

confidence: 78%

Correlation Between Target Height and Children's Height in Upper and Lower Socio-economic Classes in India

Khadilkar

Khadilkar²,

Maskati³

2005

Journal of Pediatric Endocrinology and Metabolism

View full text Add to dashboard Cite

This study aimed to test the hypothesis that correlation between target height and children's height may be less in Indian lower socioeconomic class (LSC) than in the upper socioeconomic class (USC). Three hundred and fortysix children from USC private schools and 359 children from LSC public schools were measured. Measured heights of LSC parents and reported heights of USC parents were used. Target height was calculated for both groups. The correlation between children's height and target height was significantly stronger in the USC (0.44) as compared to the LSC (0.31). Our study showed that the correlation between target height and child's height was weaker inthe LSC and thus may need more cautious interpretation. KEY WORDS growth, target height, socio-economic class 14. Amigo H, Erazo M, Bustos P. Stature of Chilean parents and children of different ethnicity and social vulnerability. Salud Publica Mex 2000; 42: 504-510. 15. Galton F. Regression towards mediocrity in hereditary stature.

show abstract

Section: Discussionsupporting

confidence: 78%

Correlation Between Target Height and Children's Height in Upper and Lower Socio-economic Classes in India

Khadilkar

Khadilkar²,

Maskati³

2005

Journal of Pediatric Endocrinology and Metabolism

View full text Add to dashboard Cite

show abstract

“…After adjusting for age and sex, anthropometric data from all but three centres (A, B and D) were comparable, with mean(SD) values ~0 (1), suggesting that the socio-demographics of most subjects included in this study were representative of well-nourished South-Asian children throughout India and the UK. As previously reported from a study of Punjabi children[ 36 ], South-Asian children from Northern India (Centre B) were taller and heavier than those from other centres. Whereas both anthropometry and lung function were lower in children from semi-urban/rural areas when compared with their urban counterparts in centre A, height and weight z-scores remained significantly lower in subjects from Centre D (Hyderabad) despite excluding all data from subjects from middle/low SEC, potential reasons for which could not be ascertained retrospectively.…”

Section: Discussionsupporting

confidence: 64%

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

Lum¹,

Bountziouka²,

Quanjer

et al. 2016

PLoS ONE

View full text Add to dashboard Cite

Availability of sophisticated statistical modelling for developing robust reference equations has improved interpretation of lung function results. In 2012, the Global Lung function Initiative(GLI) published the first global all-age, multi-ethnic reference equations for spirometry but these lacked equations for those originating from the Indian subcontinent (South-Asians). The aims of this study were to assess the extent to which existing GLI-ethnic adjustments might fit South-Asian paediatric spirometry data, assess any similarities and discrepancies between South-Asian datasets and explore the feasibility of deriving a suitable South-Asian GLI-adjustment.MethodsSpirometry 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).ResultsFollowing 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.ConclusionUntil 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.

show abstract

“…On the other hand, they are also smaller than the differences in growth status that have been found between the highest and lowest social strata in Venezuela (Lopez Contreras de Blanco et al, 1985;Lopez Blanco et al, 1987;Mendez Castellano, 1985;Landaeta-Jimenez et al, 1991). Martorell and Habicht (1985) and Singh et al (1987) reported the same observation, suggesting similarity in the socioeconomic structure of urban and rural samples as an explanation. In fact, 97% of the Venezuelan rural sample and 79% of the urban sample belong to the two lowest strata (Strata IV and V).…”

Section: Discussionmentioning

confidence: 61%

“…National Center for Health Statistics (NCHS) reference children. On the other hand, some authors have found small urban-rural differences in growth, compared to differences among social strata (Martorell and Habicht, 1985;Mendez Castellano, 1985;Singh et al, 1987;Lopez Blanco et al, 1987;Landaeta-Jimenez et al, 1991).…”

mentioning

confidence: 98%

Urban–rural differences in the growth status of Venezuelan children

Blanco¹,

Jimenez²,

Castellano³

1992

American J Hum Biol

View full text Add to dashboard Cite

The height and weight of 28,752 urban and 10,557 rural individuals aged birth to 18 years were measured as part of a cross-sectional national survey (Project Venezuela) between 1981 and 1986. The Preece-Baines model 1 was fitted to the means; pooled residual mean squares of 0.21 and 0.13 in height and 0.44 and 0.13 in weight, for boys and girls respectively, indicated a good fit. Derived means and biological parameters were compared. The nutritional status of 18,849 children aged birth to 8 years was assessed using the WHO-recommended NCHS/CDC 3rd or 10th and 90th centiles as cut-off points for weight for height, weight for age, and height for age. A t test for proportions was used to test significance. Urban children were taller and heavier than their rural counterparts; differences were evident after age 2 and maximal at 14 years in boys and 12 years in girls, due to differences in tempo, although part of the differences persist into adulthood. Prevalences of wasting and stunting were 3.5% and 10.5% higher in rural children and overweight was 3.6% higher in urban children, significantly so in height for age. A mixed nutritional problem is present in Venezuelans, with a prevalence of stunting greater than that of wasting and a prevalence of overweight greater in urban children. Urban-rural differences in growth persisted into adulthood in boys, while rural girls were similar to urban girls at the end of growth.

show abstract

Growth performance of Punjabi children aged 6–12 years

Cited by 7 publications

References 8 publications

Correlation Between Target Height and Children's Height in Upper and Lower Socio-economic Classes in India

Correlation Between Target Height and Children's Height in Upper and Lower Socio-economic Classes in India

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

Urban–rural differences in the growth status of Venezuelan children

Contact Info

Product

Resources

About