Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Setting: Kamrangirchar slum, Dhaka, Bangladesh.
Objective: During nutritional surveys and in circumstances when it is difficult to ascertain children's age, length/height cut-offs are used as proxy for age to sample children aged 6-59 months. In a context of prevalent stunting, using data from primary health care centres where age and height parameters were well-recorded, we assessed the proportion of children aged between 6 and 59 months who would be excluded from nutritional assessment using a height cut-off of 65 cm as a proxy for age ≥6 months.
Design: This was a secondary data analysis of primary health centre data.
Results: A total of 2060 children were included in the analysis, with a median age of 24 months and a median height of 78 cm (SD 12.1, range 50-109 cm). There were 240 (12%, 95%CI 10-13) children aged between 6 and 29 months, with a height <65 cm. The majority (59%) of these children were females; 97.5% were aged 6-17 months.
Conclusion: In an urban slum setting in Bangladesh, the use of the current height cut-off as a proxy for age excludes vulnerable children from nutritional assessment and could also lead to underestimation of the prevalence of malnutrition in nutritional surveys.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4463059 | PMC |
http://dx.doi.org/10.5588/pha.12.0037 | DOI Listing |
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