The authors of this article are many. Jaime C.
Hunter is a researcher at the Wake Forest University School of Medicine. Brenda M. DeVellis, Laura A.
Linnan and Edwin B. Fisher are researchers at the Department of Health Behavior, Gillings School of Global Public Health. While Christine Rini is associated with the Hackensack University Medical Center and Department of Biomedical ResearchPrevious research has revealed a relationship between diabetes and depression, However, the definitions of Diabetes or Depressions and the measure of them both was not taken into account.The authors conducted a research to determine the strength of that relationship between Diabetes and depression while taking into considerations factors like the severity of the depression and how long its been diagnosed.The authors further analyzed data from 2 previous independent studies, NHANES, and ACES. NANHEs measured depressive symptoms using the patient. Both ACES and NHANES’s study included individuals 45 years of age and older.
Both ACES and NHANES started by measuring depressive symptoms. NANHES used a system called the nine-item Patient Health Questionnaire, where patients asked questions like if they were having little interest or pleasure in doing things and were asked to respond according to a scale of 1-4. At the end of the questionnaire, the points are added up, the higher the score, the higher level of depressive symptoms. ACES used a process called the Center for Epidemiologic Studies–Depression Scale. Participants were asked 20 questions and rated using a scale from 0-3 how often they were true, whether it was occasionally, all the time, a moderate amount of time, etc…The points were then added up, and the higher the score, the higher the levels of depressive symptoms.NAHNES and ACES also measured diabetes differently. NAHNES followed the guidelines of the Centers for Disease Control and Prevention (CDC) which stated that to be classified as a diabetic, patients must have a fasting plasma glucose (FPG) level of at least 126 or a glycated hemoglobin level of at least 6.
5.However, for ACES, diabetes was when the doctor had ever told the participant that they have diabetes or high blood sugar. Both studies took factors of age, BMI, race, sex, and education level into consideration.According to the NAHNES model, factors, like being older, being African American or Latino, and having a high BMI and a high school education or less, were all associated with an increased diabetes risk compared to other groups. While ACES had very similar results, the main difference was that age did not play a factor in the increased risk of diabetes.For both models, when health factors like the ones mentioned about are added to the equation, the ratio between depression and diabetes change a little.
However, the results show that an increase In depressive symptoms increased the odds of having diabetes. The results succeeded to prove the connection between diabetes and depression. It also proved that results of this study depended on the results of 2 different studies and how their definitions of depression and diabetes and what health factors they took into consideration affected the results. In general, The study definitely added more knowledge to the topic.The authors wrote this work to the demonstrate the relationship between depression and diabetes.
The intended audience of this article is geared more towards scholars but could also be read and understood by the general adult population who have an interest in the matter. The article goes discussing the tie between diabetes and depression and taking many other factors in their studies. The general adult population might not benefit as much from the scientific analysis as much as scholars would.