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Thursday, 26 May 2022

[New post] Understanding the Nutritional Status of Farming Community in Rural Areas of India: An Empirical Interpretation with Policy Implication from Socio-Economic and Gender Perspective|Current Journal of Applied Science and Technology

Site logo image SCIENCE DOMAIN INTERNATIONAL posted: " Aims: The purpose of this empirical study is to look at the relative relevance of various socioeconomic and demographic variables that influence the nutrition of farmers. To comprehend both ecological and gender characteristics, this empirical study was " SCIENCEDOMAIN international

Understanding the Nutritional Status of Farming Community in Rural Areas of India: An Empirical Interpretation with Policy Implication from Socio-Economic and Gender Perspective|Current Journal of Applied Science and Technology

SCIENCE DOMAIN INTERNATIONAL

May 26

Aims: The purpose of this empirical study is to look at the relative relevance of various socioeconomic and demographic variables that influence the nutrition of farmers. To comprehend both ecological and gender characteristics, this empirical study was conducted individually for farmers and farm women, as well as for both together. The study's main goal is to undertake a series of participation activities in order to obtain micro level response data that is primary in nature beneath the title's canopy.
The location was chosen using a purposive sample strategy, and the respondents were chosen using a basic random selection procedure.
The study was place in four gramme panchayats in the Kotulpur block of the Bankura district in West Bengal, namely Sihar, Deshra Koalpara, Lowgram, and Kotulpur.
Methodology: In this study, 50 farmers and 50 farm women were interviewed and a simple random sample approach was used to pick them. People's knowledge, perceptions, and attitudes concerning nutritional concepts, communication and extension systems, and malnutrition were assessed using a preliminary interview schedule. The collected data was subjected to multivariate analysis. For correlation analysis, multiple regression analysis, step-down regression analysis, path analysis, canonical covariate analysis, and artificial neural network analysis, IBM's Statistical Package for the Social Sciences V20.0 (SPSS) was utilised.
Results: Age (x1), functional literacy (x2), family size (x4), number of farm activities (x5), working hour per day (x6), distance of work place from residence (x7), wages received (x8), duration of employment (x9), per capita income (x12), per capita expenditure (x13), deviation of blood pressure (x15), pulse rate (x16), dizziness (x17), and status of drinking water (x18) have all been identified as the most powerful determinants (y).
Conclusion: The current investigation has hit on the importance of certain significant empirical revelations in a unique way. It may be argued that low-income farmers are more likely to suffer from malnutrition as a result of their poor calorie consumption. In rural places, ensuring clean drinking water for everybody is still a pipe dream. Due to a lack of a balanced diet, many rural women suffer from dizziness and anaemia. Malnutrition is still widespread, particularly in rural regions, and the most susceptible are children, women, and the elderly, particularly those from lower socioeconomic classes.

Please click here : https://journalcjast.com/index.php/CJAST/article/view/31032

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