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FACTORS AFFECTING THE HOUSEHOLD DIETARY DIVERSITY PATTERN IN RURAL AREAS OF SOUTHERN PUNJAB, PAKISTAN |
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| รหัสดีโอไอ | |
| Creator | Maria Iftikhar, Muhammad Asim Yasin, Rafaqet Ali, Samiullah, Muhammad Imran Khan, Nazish Iftikhar. |
| Title | FACTORS AFFECTING THE HOUSEHOLD DIETARY DIVERSITY PATTERN IN RURAL AREAS OF SOUTHERN PUNJAB, PAKISTAN |
| Contributor | - |
| Publisher | TuEngr Group |
| Publication Year | 2563 |
| Journal Title | International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies |
| Journal Vol. | 11 |
| Journal No. | 7 |
| Page no. | 11A07D: 1-9 |
| Keyword | Household dietary diversity score, HDDP, Household characteristics, Ordered logistic regression. |
| URL Website | http://TuEngr.com/Vol11_7.html |
| Website title | ITJEMAST V11(7) 2020 @ TuEngr.com |
| ISSN | 2228-9860 |
| Abstract | This study has been designed to examine the household characteristics that affect the household dietary diversity pattern in rural areas of Southern Punjab, Pakistan. Household Dietary Diversity Pattern (HDDP) indicates the economic ability of a household to access a variety of foods. Apparently, HDDP is simple but affected by many collaborative factors. HDDP is multidimensional in nature. It depends on four important components: availability, stability, accessibility, and utilization. So, there are many socio-economic characteristics that can affect HDDP. Primary data was collected from 300 rural households. A detailed questionnaire was developed by following the guidelines of FAO for seeking information from the respondents. The ordered logistic regression was used for data analysis. The results of this study indicate that estimated coefficients of education, income, land size and livestock affect positively household dietary diversity score. The estimated coefficient of the age of household head, family size of household and time to reach the main market affect negatively household dietary diversity score. The study also suggested important policy recommendations to improve the dietary diversity score of rural households. |
