Conclusions about differences in linear growth between Bangladeshi boys and girls depend on the growth reference used

Moestue, Helen; Pee, Saskia de; Hall, Andrew; Hye, Abdul; Sultana, Niru; Ishtiaque, M.Z.; Huq, Nasreen; Bloem, Martin W.

doi:10.1038/sj.ejcn.1601870

Cited by 18 publications

(15 citation statements)

References 24 publications

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“…The details of socio-economic characteristics of the subjects were not included in the present study. Such sex differences in linear growth were previously reported from Bangladesh [14].…”

Section: Discussionsupporting

confidence: 83%

Growth pattern of schoolchildren in Sagamu, Nigeria using the CDC standards and 2007 WHO standards

et al. 2010

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“…The details of socio-economic characteristics of the subjects were not included in the present study. Such sex differences in linear growth were previously reported from Bangladesh [14].…”

Section: Discussionsupporting

confidence: 83%

Growth pattern of schoolchildren in Sagamu, Nigeria using the CDC standards and 2007 WHO standards

et al. 2010

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“…This observation agreed with previous reports among preschool children in ten Sub-Saharan African countries where increased prevalence of stunting among males was possibly attributed to low family socioeconomic status mentioned by Wamani et al 17 The socio-economic characteristics of the subjects were not included in this study. Such sex differences in linear growth were previously reported by Moestue et al 18 from Bangladesh.…”

Section: Discussionsupporting

confidence: 83%

Comparison of Growth Pattern of School Children in Sylhet, Bangladesh Using the 2000 CDC Standards and 2007 WHO Standards

Chowdhury

Malik²,

Hoque

et al. 2019

Birdem Med J

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Background: Growth assessment is an essential component of pediatric health surveillance because almost any problem within the physiologic, interpersonal and social domains can adversely affect growth. The most powerful tool in the growth assessment is the growth chart. Growth parameters of children are usually interpreted in relation to international standards like the National Center for Growth Statistics (NCHS) and Centers for Disease Control and Prevention (CDC) Growth Charts of 1977and 2000, respectively. In 2007 published a new set of growth charts believed to be applicable to children reared healthily in all parts of the globe. The aim of current study was determine the growth pattern of school children in Sylhet using the CDC standards and WHO standards. Methods: A Comparative cross-sectional study was done in the department of paediatrics, Sylhet MAG OsmaniMedical College Hospital from July, 2012 to Dec, 2012. Multi-stage random sampling technique was adopted for the survey. This study was carried out in selected primary schools in Sylhet Metropoliton City area. The participants were healthy school children, aged 6 to 11 years who was purposively selected. A total of 504 children were included into this study. The primary end point was to determine weight, height and body mass index (BMI) and the secondary end point was to compare the values using 2000 CDC standards and 2007 WHO standards. Results: The mean weights, height and BMI of the studied child were lower from CDC and WHO standards but closer with the WHO standards and wider from CDC. The weight Z-scores have got closer on the two reference charts for both male and female but differ at age 6 and 7 years. The median height Z-scores were almost closer to the median for male and female at all different ages on both CDC and WHO charts. The median BMI Z-scores for both sexes were below the reference values on both CDC and WHO charts. The prevalence of underweight and stunting were higher in both sexes when determined using the CDC standards compared to WHO standards. Conclusion:The WHO references would under diagnose under-nutrition and over-diagnose overweight/obesity in the population studied. However, this study results are closer to the WHO reference and wider from the CDC standards.

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“…The categories used for caste and setting are given in Table 1. Child age and sex were included in the regression model, as previous research suggests that these factors strongly affect height-for-age Z-scores 43 .…”

Section: Main Variablesmentioning

confidence: 99%

‘The bigger the better’ – mothers' social networks and child nutrition in Andhra Pradesh

Moestue¹,

Huttly

Sarella

et al. 2007

Public Health Nutr.

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Objective: It is hypothesised that mothers' social networks can positively affect child nutrition through the sharing of health knowledge and other resources. The present study describes the composition of mothers' networks, examines their association with child nutrition, and assesses whether health knowledge is shared within networks. Design and setting: Cross-sectional data for mothers of young children from Andhra Pradesh (south India) were combined with existing data from the Young Lives study, in which the mothers were participating (n ¼ 282). Results: The composition of social networks varied between urban and rural areas, with urban networks being larger, more female, more literate and with a greater proportion of members living outside the household and being non-family. There was a positive association between child's height-for-age Z-score and mother's network size and network literacy rate. The association with network literacy was stronger among the poorest households. Women commonly reported seeking or receiving health advice from network members. Conclusion: Big and literate social networks are associated with better child nutrition, especially among the poor. The dissemination of health knowledge between network members is a plausible way in which social networks benefit child nutrition in India. Further research into the underlying mechanisms is necessary to inform the development of interventions that channel health information through word of mouth to the most excluded and vulnerable families.

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Conclusions about differences in linear growth between Bangladeshi boys and girls depend on the growth reference used

Cited by 18 publications

References 24 publications

Growth pattern of schoolchildren in Sagamu, Nigeria using the CDC standards and 2007 WHO standards

Growth pattern of schoolchildren in Sagamu, Nigeria using the CDC standards and 2007 WHO standards

Comparison of Growth Pattern of School Children in Sylhet, Bangladesh Using the 2000 CDC Standards and 2007 WHO Standards

‘The bigger the better’ – mothers' social networks and child nutrition in Andhra Pradesh

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