- 8th Jan 2022
- 06:03 am
Description
In this task, I will discuss the journal ‘The association between food prices and the blood glucose level of U.S. adults with type 2 diabetes written by Ilya Rahkovsky, PhD and Tobenna D. Anekwe, ScD. The correlation between the price of healthier and less healthy nutrition types and blood sugar among US adults with type 2 diabetes is addressed in this article. The first researcher related 1999–2006 National Health and Diet Analysis Medical data to product prices found in the Quarterly Food-at-Home Price Dataset and regressed blood glucose levels from the preceding fiscal year, consumer area regulation and a number of other variables. It will also be investigated if the relationship between commodity prices and sugar levels differs between various economic strata.
Product rates and low-fat dairy products have been linked to levels of blood sugar in people with type 2 diabetes. In particular, higher rates for food and low-fat dairy products were correlated with higher rates of glycosylated hemoglobin and 3 months later fasting plasma glucose. Prices of food had a stronger correlation with minimum-income people with blood glucose levels than for those with higher wages, and in the direction predicted. High nutritious food prices have been linked to the higher blood glucose level in people with type-two diabetes. The correlation was particularly noted in individuals who have low income and have type-two blood sugar level. Price rises for nutritious foods have been shown to be correlated with a greater spike in blood glucose levels for minimal-income US citizens with type 2 diabetes relative to their greater-income counterparts. Similarly, price rises were correlated with a greater drop in blood glucose levels for the small-income group related to their high- income peers for the less nutritious foods. Recent results showed that low-income American people with type 2 diabetes profit more from reduced nutritious food costs (in terms of blood glucose level) than their peers on higher earnings. Controlled variables or independent variables included adult and their family records of diabetes, bmi (body mass index), class, sex, ethnicity / nationality, family income, literacy, exercise routine, caffeine consumption, liquor intake, out-of-home dinners per week, medical insurance condition, inequality-income ratio, and an indication of whether an adult has ever had blood cholesterol monitoring. Dependent variables are prices of food, vegetables, milk etc.
References
Anekwe, T., & Rahkovsky, I. (2018). The Association Between Food Prices and the Blood Glucose Level of US Adults With Type 2 Diabetes. American Journal Of Public Health, 108(S6), S475-S482. doi: 10.2105/ajph.2013.301661r
Definition and Examples of Independent and Dependent Variables. (2020). Retrieved 13 May
2020, from https://www.thoughtco.com/independent-and-dependent-variable-examples-606828
