Abstract
There are different methods to measure health and nutritional status of samples at different sociodemographic settlements in different communities. Of them, one method can be preferable at a certain topographic condition for specific group of people. Typically, it can then become a common method due to widespread uses by other groups, and hence many researchers often are in doubt to choose the apt method for their studies in dynamic environment of health science. This study aims to design a new modulator of health status for examining the ongoing health and nutritional concerns to the communities including malnutrition, health demography and possible socioeconomic and environmental changes of heath. It uses a wide range of instruments and theories ranging from the Quetelet’s index in health science to the Albert Einstein’s theory of relativity in physical science. Findings reveal that our proposed logarithmic biophysical modulator of health status [equation (ix)] is a modern and simple tool for health assessment of individuals through statistical modeling. It could be applicable to the study on the worldwide health and nutritional research, geospatial and community health and biostatistics and public health. Also it can be a uniquely functional biophysical model to the discipline of health pedagogy in nutritional epidemiology. Key words: Health pedagogy, statistical modeling, health status, malnutrition, biophysical modulator
Highlights
About 2 billion people in the world suffer from various forms of malnutrition (Rahman and Biswas, 2009)
This study aims to design a simple modulator of health status for examining the ongoing health and nutritional concerns in communities including the malnutrition
The current study findings are the five galore popular bio-statistical postulates on existing health status based on the logarithmic biophysical Equation 9
Summary
About 2 billion people in the world suffer from various forms of malnutrition (Rahman and Biswas, 2009). Malnutrition is an underlying cause of death of 2.6 million children each year - a third of child deaths globally (Black et al, 2008; Rahman et al, 2008). One in every four of the world’s children is stunted, and in developing countries this is as high as one in three (de Onis et al, 2011). This means their bodies fail to develop fully as a result of malnutrition. Childhood malnutrition leads to stunted growth and influence mortality and morbidity (Rahman and Hakim, 2016a; Rahman, 2006; Megabiaw and Rahman, 2013; Hakim and Kamruzzaman, 2015), which lower the survival opportunities of adults in their later life
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