Users Online: 9 Home Print this page Email this page Small font sizeDefault font sizeIncrease font size
 

 

Home About us Editorial board Search Ahead of print Current issue Archives Submit article Instructions Subscribe Contacts Login 
     
BRIEF RESEARCH ARTICLE
Year : 2016  |  Volume : 60  |  Issue : 1  |  Page : 68-72

Exploring the multidimensional nature of anthropometric indicators for under-five children in India


Doctoral Candidate, International Institute for Population Science (IIPS), Mumbai, Maharashtra, India

Correspondence Address:
Ashish Kumar Gupta
Doctoral Candidate, International Institute for Population Science (IIPS), Mumbai, Maharashtra
India
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0019-557X.177319

Rights and Permissions

This study examined the multidimensional nature of the association of stunting, wasting, and underweight for children below 5 years of age in India using data from the National Family Health Survey (NFHS)-3 (2005-2006). Multiple correspondence analysis (MCA) was applied to examine the association of the indicators. Additionally, log-linear model was used to find out the model of best fit to examine the nutritional status of children. It was found that underweight is associated with both stunting and wasting, whereas there was no consistent pattern of association between stunting and wasting. The results also confirmed that children suffered from multiple anthropometric failures. The results showed that height-for-age, weight-for-height, and weight-for-age taken together give the model of best fit for analysis of nutritional status. The study concluded that the three indicators of nutritional status should be considered simultaneously to determine the percentage of undernourished children.


[FULL TEXT] [PDF]*
Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)
 

 Article Access Statistics
    Viewed1431    
    Printed7    
    Emailed1    
    PDF Downloaded311    
    Comments [Add]    
    Cited by others 2    

Recommend this journal