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  • Cited by 3
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    This article has been cited by the following publications. This list is generated based on data provided by CrossRef.

    Yadav, Awdhesh Ladusingh, Laishram and Gayawan, Ezra 2015. Does a geographical context explain regional variation in child malnutrition in India?. Journal of Public Health, Vol. 23, Issue. 5, p. 277.

    Haddad, Slim Mohindra, Katia Sarla Siekmans, Kendra Màk, Geneviève and Narayana, Delampady 2012. “Health divide” between indigenous and non-indigenous populations in Kerala, India: Population based study. BMC Public Health, Vol. 12, Issue. 1,

    Uthman, Olalekan Abdulrahman Moradi, Tahereh and Lawoko, Stephen 2009. The independent contribution of individual-, neighbourhood-, and country-level socioeconomic position on attitudes towards intimate partner violence against women in sub-Saharan Africa: A multilevel model of direct and moderating effects. Social Science & Medicine, Vol. 68, Issue. 10, p. 1801.



  • DOI:
  • Published online: 01 September 2008

This paper examines the role of observed contextual factors like topography, development and literacy on severe malnutrition among social groups in rural Maharashtra based on the Reproductive and Child Health District Level Household Survey (RCH-DLHS) Round II (2002–04) data. Multilevel modelling techniques were applied in order to examine the district-wise variations in severe malnutrition associated with the characteristics of the places (contextual effects), as the relationships with the type of people (compositional effects) have already been well established. The results show that developmental aspects such as road connectivity, community literacy, toilet facilities and household standard of living contribute positively to the status of severe malnutrition. Also, the scheduled tribe, aboriginal underprivileged group are more at risk of severe malnourishment due to a lack of proper development, poor awareness about maintaining and enhancing the nutritional value of food and lack of hygiene and sanitation as compared with the scheduled castes, another aboriginal group.

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Journal of Biosocial Science
  • ISSN: 0021-9320
  • EISSN: 1469-7599
  • URL: /core/journals/journal-of-biosocial-science
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