U. K. Majumder*
Department of Statistics, Hajee Mohammad Danesh Science & Technology University, Dinajpur, Bangladesh.
M. N. Islam
Department of Statistics, Biostatistics and Informatics. University of Dhaka, Bangladesh
D. N. R. Paul
Department of Business Administration, Uttara University, Uttara, Dhaka, Bangladesh
M. A. K. Azad
Department of Statistics, Jagannath University, Dhaka, Bangladesh
Food intake, Poverty, Nutrients intake, Rice surplus, Rice deficit, Recall method
Dinajpur in the north-western part and Bagerhat in the south-western part of Bangladesh
Food Safety and Security
Dietary intake
Study area and sampling: This research work was conducted in two ecologically contrasting districts, i.e. Dinajpur in the north-western part and Bagerhat in the south-western part of Bangladesh characterized by surplus and deficit in rice productions, the staple food of Bangladeshi people. For the sampling sixty four (64) districts of Bangladesh were divided into two categories as rice surplus districts (43) and rice deficit districts (21). Census population of 2001 and the corresponding rice production for the year 2000-01 (BCA, V3.0) were used for determining the rice surplus and rice defecit districts. The districts were selected purposively based on the following criteria: ? Dinajpur is a rice surplus and Bagerhat is a rice deficit district ? The districts are ecologically different ? The districts differ markedly in farming systems ? The livelihood pattern of the districts are different.
Three-stage simple random sampling technique was followed for selecting the villages from each of the selected districts. In the first stage, two Upazilas were selected from each district. In the second stage, one union was selected from each selected Upazila. In the third stage, one village was selected from each union. All the households in selected villages were surveyed by using standard pretested questionnaires. Total number of enumerated households and households members in four selected villages were 413 (220 in Dinajpur and 193 in Bagerhat) and 1901 (984 in Dinajpur and 917 in Bagerhat) respectively. Data were collected during October – March, 2006-07.
Data collection technique: The quality of collected data were checked and rechecked by the researcher to find out any lacking regarding information. The respondents were the household heads and their spouses (male and female guardians of the households).
Twenty four (24) hours dietary recall method: The most commonly used dietary intake method is the 24 hours dietary recall method (Sukhatme, 1976; Abdullah, 1976; Frances et al, 1994 and Ziegler, 1996). Ziegler (1996) described the dietary data collection methodologies for obtaining food intake information to households and consumption by individuals. Essentially, the individual is asked to recall and describe the kinds and amounts of all foods ingested during a 24-hour period. The interviewer used cups, spoons, plates, and glasses etc. of different sizes for determining weights. Respondents were asked to provide information on the number of different food items they served to their family members and consumed by them. The interviewer then compared the identified extent with the standard codes to determine the weights of the consumed food items. Dietary calculation (determine the edible portion of different food items consumed) of the raw food weight that consumed by the households and as well as by the individual members were done by the help of a dietician. All the cooked food items consumed were converted into raw weight of edible portion according to conversion factors for specific cooked food items developed by Ali and Pramanik (1991).
Data management and statistical analysis: Socioeconomic, demographic and food intake data were analyzed by dBase software. FORTRAN software package was used in calculating nutrients intakes of the food consumption by the household members. Statistical analysis was performed using SPSS for windows ver 16.0 (SPSS, Chicago, IL, USA). Summary statistics such as means, standard deviation etc. was computed for various comparisons. Significance tests of mean differences (t-test, F-test) on dietary and nutritional measures and other quantitative variables. Pearson’s correlation coefficient was computed to identify the relationship between socioeconomic/demographic factors on food and nutrient intakes.
Journal of Science and Technology 11(June 2013): 51-63
Journal