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Preferential factors for malnutrition intervention programs (624.15)
Author(s) -
Yoshizawa Kazuko
Publication year - 2014
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.28.1_supplement.624.15
Subject(s) - per capita , malnutrition , life expectancy , literacy , demography , medicine , intervention (counseling) , literacy rate , health literacy , environmental health , gerontology , pediatrics , economic growth , health care , population , nursing , economics , sociology
Background and Objective Information on a minimum number of indicators might be useful in planning of intervention programmes. There is open access to the World Bank database of which source of information compiled from officially‐recognized international organizations. The database includes information on health and socio‐economic factors. Objective of the study is to find factors for nutrition intervention programmes by use of the World Bank database. Method Database for multiple regression analysis in this study was prepared by use of secondary information by use of the database of World Development Indicators and Global Development Finance (2012). Indicators focused were acute and chronic malnutrition, literacy rate, mortality rate, life expectancy, primary school enrolment rate, birth rate, 6 month exclusive breast feeding, rate of DPT vaccination and access to safe water. Results Malnutrition as a dependent variable is statistically associated with literacy rate of female aged greater than 15 years, GDP per capita, DPT vaccination rate and 6month exclusive breast feeding (R 2 =0.56, p<0.000). Similarly statistically significant factors for child malnutrition are literacy rate of male aged greater than 15 years, GDP per capita, DPT vaccination rate and 6month exclusive breast feeding (R 2 =0.52, p<0.000): however, male literacy is not an important factor with female literacy in the model. Discussion and Conclusion Non‐significance of the factor of male literacy in the multiple regression alaysis could be due to the strong correlation between male literacy and female literacy (r=0.945). Preferential factors for nutrition intervention programmes are female literacy, vaccination and 6 month exclusive breast feeding. Acknowledgements I would like to thank Natsumi Suzuki and Saki Sugita for important suggestion.