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Diffah Hanim - One of the best experts on this subject based on the ideXlab platform.
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Purchasing Power, fruits vegetables consumption, nutrition status among elementary school student
International Journal of Public Health Science (IJPHS), 2019Co-Authors: Yohan Fallo, Adi Magna Patriadi Nuhriwangsa, Diffah HanimAbstract:Food Purchasing Power is usually defined as a household's economic ability to obtain food which is determined by measuring the income allocated for food purchase, the price of food consumed, and the number of family members. More than 50% of the sub-districts in South Central Timor are vulnerable to food consumption due to their low Purchasing Power, thus causing low fruits and vegetables consumption. To analyze the correlation between Purchasing Power, fruits and vegetables consumption, with nutrition status of elementary school students. Analytic observational using a cross sectional design. Sample size of 108 students was achieved using simple random sampling method. Independent variables are Purchasing Power, fruits and vegetables consumption. Dependent variable is nutrition status. Fruits and vegetables consumption data was collected using food frequency, Purchasing Power data was collected using questionnaires, and nutrition status was collected by calculating IMT/U. The statistics tests used were chi square test. The mean number of fruits and vegetables consumption of the elementary students was 0,36±0,483 and the mean number of Purchasing Power was 2,80±0,405. Bivariate study test results show a significant correlation between Purchasing Power and nutrition status (p=0,039) and a significant correlation between fruits and vegetables consumption and nutrition status (p=0,000). There is a correlation between Purchasing Power, fruits and vegetables consumption, and nutrition status in elementary school students.
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THE CORRELATION BETWEEN Purchasing Power, FRUITS AND VEGETABLES CONSUMPTION, WITH NUTRITION STATUS OF ELEMENTARY SCHOOL STUDENTS
International Journal of Public Health Science, 2019Co-Authors: Yohan Fallo, Adi Magna Patriadi Nuhriwangsa, Diffah HanimAbstract:Food Purchasing Power is usually defined as a household's economic ability to obtain food which is determined by measuring the income allocated for food purchase, the price of food consumed, and the number of family members. More than 50% of the sub-districts in South Central Timor are vulnerable to food consumption due to their low Purchasing Power, thus causing low fruits and vegetables consumption. To analyze the correlation between Purchasing Power, fruits and vegetables consumption, with nutrition status of elementary school students. Analytic observational using a cross sectional design. Sample size of 108 students was achieved using simple random sampling method. Independent variables are Purchasing Power, fruits and vegetables consumption. Dependent variable is nutrition status. Fruits and vegetables consumption data was collected using food frequency, Purchasing Power data was collected using questionnaires, and nutrition status was collected by calculating IMT/U. The statistics tests used were chi square test. The mean number of fruits and vegetables consumption of the elementary students was 0,36±0,483 and the mean number of Purchasing Power was 2,80±0,405. Bivariate study test results show a significant correlation between Purchasing Power and nutrition status (p=0,039) and a significant correlation between fruits and vegetables consumption and nutrition status (p=0,000). There is a correlation between Purchasing Power, fruits and vegetables consumption, and nutrition status in elementary school students.
Yohan Fallo - One of the best experts on this subject based on the ideXlab platform.
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Purchasing Power, fruits vegetables consumption, nutrition status among elementary school student
International Journal of Public Health Science (IJPHS), 2019Co-Authors: Yohan Fallo, Adi Magna Patriadi Nuhriwangsa, Diffah HanimAbstract:Food Purchasing Power is usually defined as a household's economic ability to obtain food which is determined by measuring the income allocated for food purchase, the price of food consumed, and the number of family members. More than 50% of the sub-districts in South Central Timor are vulnerable to food consumption due to their low Purchasing Power, thus causing low fruits and vegetables consumption. To analyze the correlation between Purchasing Power, fruits and vegetables consumption, with nutrition status of elementary school students. Analytic observational using a cross sectional design. Sample size of 108 students was achieved using simple random sampling method. Independent variables are Purchasing Power, fruits and vegetables consumption. Dependent variable is nutrition status. Fruits and vegetables consumption data was collected using food frequency, Purchasing Power data was collected using questionnaires, and nutrition status was collected by calculating IMT/U. The statistics tests used were chi square test. The mean number of fruits and vegetables consumption of the elementary students was 0,36±0,483 and the mean number of Purchasing Power was 2,80±0,405. Bivariate study test results show a significant correlation between Purchasing Power and nutrition status (p=0,039) and a significant correlation between fruits and vegetables consumption and nutrition status (p=0,000). There is a correlation between Purchasing Power, fruits and vegetables consumption, and nutrition status in elementary school students.
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THE CORRELATION BETWEEN Purchasing Power, FRUITS AND VEGETABLES CONSUMPTION, WITH NUTRITION STATUS OF ELEMENTARY SCHOOL STUDENTS
International Journal of Public Health Science, 2019Co-Authors: Yohan Fallo, Adi Magna Patriadi Nuhriwangsa, Diffah HanimAbstract:Food Purchasing Power is usually defined as a household's economic ability to obtain food which is determined by measuring the income allocated for food purchase, the price of food consumed, and the number of family members. More than 50% of the sub-districts in South Central Timor are vulnerable to food consumption due to their low Purchasing Power, thus causing low fruits and vegetables consumption. To analyze the correlation between Purchasing Power, fruits and vegetables consumption, with nutrition status of elementary school students. Analytic observational using a cross sectional design. Sample size of 108 students was achieved using simple random sampling method. Independent variables are Purchasing Power, fruits and vegetables consumption. Dependent variable is nutrition status. Fruits and vegetables consumption data was collected using food frequency, Purchasing Power data was collected using questionnaires, and nutrition status was collected by calculating IMT/U. The statistics tests used were chi square test. The mean number of fruits and vegetables consumption of the elementary students was 0,36±0,483 and the mean number of Purchasing Power was 2,80±0,405. Bivariate study test results show a significant correlation between Purchasing Power and nutrition status (p=0,039) and a significant correlation between fruits and vegetables consumption and nutrition status (p=0,000). There is a correlation between Purchasing Power, fruits and vegetables consumption, and nutrition status in elementary school students.
Hilary Williamson Hoynes - One of the best experts on this subject based on the ideXlab platform.
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local food prices snap Purchasing Power and child health
Journal of Health Economics, 2019Co-Authors: Erin Todd Bronchetti, Garret Christensen, Hilary Williamson HoynesAbstract:Abstract The Supplemental Nutrition Assistance Program (SNAP, formerly food stamps) is one of the most important elements of the social safety net. Unlike most other safety net programs, SNAP varies little across states and over time, which creates challenges for quasi-experimental evaluation. Notably, SNAP benefits are fixed across 48 states; but local food prices vary, leading to geographic variation in the real value – or Purchasing Power – of SNAP benefits. In this study, we provide the first estimates that leverage variation in SNAP Purchasing Power across markets to examine effects of SNAP on child health. We link panel data on regional food prices to National Health Interview Survey data and use a fixed effects framework to estimate the relationship between local Purchasing Power of SNAP and children’s health and health care utilization. We find that lower SNAP Purchasing Power leads to lower utilization of preventive health care and more days of school missed due to illness. We estimate no effect on parent-reported health status.
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local food prices snap Purchasing Power and child health
National Bureau of Economic Research, 2018Co-Authors: Erin Todd Bronchetti, Garret Christensen, Hilary Williamson HoynesAbstract:The Supplemental Nutrition Assistance Program (SNAP, formerly food stamps) is one of the most important elements of the social safety net. Unlike most other safety net programs, SNAP varies little across states and over time, which creates challenges for quasi-experimental evaluation. Notably, SNAP benefits are fixed across 48 states; but local food prices vary, leading to geographic variation in the real value – or Purchasing Power – of SNAP benefits. In this study, we provide the first estimates that leverage variation in SNAP Purchasing Power across markets to examine effects of SNAP on child health. We link panel data on regional food prices to National Health Interview Survey data and use a fixed effects framework to estimate the relationship between local Purchasing Power of SNAP and children’s health and health care utilization. We find that lower SNAP Purchasing Power leads to lower utilization of preventive health care and more days of school missed due to illness. We find no effect on reported health status.
Adi Magna Patriadi Nuhriwangsa - One of the best experts on this subject based on the ideXlab platform.
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Purchasing Power, fruits vegetables consumption, nutrition status among elementary school student
International Journal of Public Health Science (IJPHS), 2019Co-Authors: Yohan Fallo, Adi Magna Patriadi Nuhriwangsa, Diffah HanimAbstract:Food Purchasing Power is usually defined as a household's economic ability to obtain food which is determined by measuring the income allocated for food purchase, the price of food consumed, and the number of family members. More than 50% of the sub-districts in South Central Timor are vulnerable to food consumption due to their low Purchasing Power, thus causing low fruits and vegetables consumption. To analyze the correlation between Purchasing Power, fruits and vegetables consumption, with nutrition status of elementary school students. Analytic observational using a cross sectional design. Sample size of 108 students was achieved using simple random sampling method. Independent variables are Purchasing Power, fruits and vegetables consumption. Dependent variable is nutrition status. Fruits and vegetables consumption data was collected using food frequency, Purchasing Power data was collected using questionnaires, and nutrition status was collected by calculating IMT/U. The statistics tests used were chi square test. The mean number of fruits and vegetables consumption of the elementary students was 0,36±0,483 and the mean number of Purchasing Power was 2,80±0,405. Bivariate study test results show a significant correlation between Purchasing Power and nutrition status (p=0,039) and a significant correlation between fruits and vegetables consumption and nutrition status (p=0,000). There is a correlation between Purchasing Power, fruits and vegetables consumption, and nutrition status in elementary school students.
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THE CORRELATION BETWEEN Purchasing Power, FRUITS AND VEGETABLES CONSUMPTION, WITH NUTRITION STATUS OF ELEMENTARY SCHOOL STUDENTS
International Journal of Public Health Science, 2019Co-Authors: Yohan Fallo, Adi Magna Patriadi Nuhriwangsa, Diffah HanimAbstract:Food Purchasing Power is usually defined as a household's economic ability to obtain food which is determined by measuring the income allocated for food purchase, the price of food consumed, and the number of family members. More than 50% of the sub-districts in South Central Timor are vulnerable to food consumption due to their low Purchasing Power, thus causing low fruits and vegetables consumption. To analyze the correlation between Purchasing Power, fruits and vegetables consumption, with nutrition status of elementary school students. Analytic observational using a cross sectional design. Sample size of 108 students was achieved using simple random sampling method. Independent variables are Purchasing Power, fruits and vegetables consumption. Dependent variable is nutrition status. Fruits and vegetables consumption data was collected using food frequency, Purchasing Power data was collected using questionnaires, and nutrition status was collected by calculating IMT/U. The statistics tests used were chi square test. The mean number of fruits and vegetables consumption of the elementary students was 0,36±0,483 and the mean number of Purchasing Power was 2,80±0,405. Bivariate study test results show a significant correlation between Purchasing Power and nutrition status (p=0,039) and a significant correlation between fruits and vegetables consumption and nutrition status (p=0,000). There is a correlation between Purchasing Power, fruits and vegetables consumption, and nutrition status in elementary school students.
Erin Todd Bronchetti - One of the best experts on this subject based on the ideXlab platform.
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local food prices snap Purchasing Power and child health
Journal of Health Economics, 2019Co-Authors: Erin Todd Bronchetti, Garret Christensen, Hilary Williamson HoynesAbstract:Abstract The Supplemental Nutrition Assistance Program (SNAP, formerly food stamps) is one of the most important elements of the social safety net. Unlike most other safety net programs, SNAP varies little across states and over time, which creates challenges for quasi-experimental evaluation. Notably, SNAP benefits are fixed across 48 states; but local food prices vary, leading to geographic variation in the real value – or Purchasing Power – of SNAP benefits. In this study, we provide the first estimates that leverage variation in SNAP Purchasing Power across markets to examine effects of SNAP on child health. We link panel data on regional food prices to National Health Interview Survey data and use a fixed effects framework to estimate the relationship between local Purchasing Power of SNAP and children’s health and health care utilization. We find that lower SNAP Purchasing Power leads to lower utilization of preventive health care and more days of school missed due to illness. We estimate no effect on parent-reported health status.
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local food prices snap Purchasing Power and child health
National Bureau of Economic Research, 2018Co-Authors: Erin Todd Bronchetti, Garret Christensen, Hilary Williamson HoynesAbstract:The Supplemental Nutrition Assistance Program (SNAP, formerly food stamps) is one of the most important elements of the social safety net. Unlike most other safety net programs, SNAP varies little across states and over time, which creates challenges for quasi-experimental evaluation. Notably, SNAP benefits are fixed across 48 states; but local food prices vary, leading to geographic variation in the real value – or Purchasing Power – of SNAP benefits. In this study, we provide the first estimates that leverage variation in SNAP Purchasing Power across markets to examine effects of SNAP on child health. We link panel data on regional food prices to National Health Interview Survey data and use a fixed effects framework to estimate the relationship between local Purchasing Power of SNAP and children’s health and health care utilization. We find that lower SNAP Purchasing Power leads to lower utilization of preventive health care and more days of school missed due to illness. We find no effect on reported health status.
