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Health Assessment of Newborns - A Community Based Study in Jharsuguda District of Odisha, India
Author(s) -
Swaroop Kumar Sahu,
Chandrashree Lenka
Publication year - 2022
Publication title -
ymer
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.103
H-Index - 5
ISSN - 0044-0477
DOI - 10.37896/ymer21.02/55
Subject(s) - medicine , nonprobability sampling , environmental health , birth weight , population , low birth weight , pregnancy , public health , community health , pediatrics , demography , nursing , sociology , biology , genetics
Newborns of today are tomorrow's citizens; thus, it is crucial to ensure good health for newborns. Today child’s health ponders the health of the future generation, and it assist in forecasting future public health problems for families, communities as well as the healthcare system of the nation. The objective of the present research is to assess the nutritional and health status of the newborns with the help of Birth weight BMI, PI CAN score. Lakhanpur and Jharsuguda Block of Jharsuguda district of Odisha, India was selected as study area and purposive sampling method was followed. 300 women in the third trimester of pregnancy till their delivery were selected from the total population. The research concluded that, assessment of health status of newborns by birth weight, PI, BMI and CAN score revealed that more percentage of malnourished newborns identify by CAN score i.e. 44.67% followed by birth weight i.e .40.66% whereas by BMI it was 29% by PI it was 15.33%. Thus it can be concluded that CAN score is the best tool to identify malnourished neonates who may be identified as well-nourished neonates by other tools

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