Informatics Publishing Limited

Yoonhee Lee ¹, Keumok Park ¹, Kawoun Seo ¹, Bohyun Kim ¹, Youngshin Song ¹

Affiliations
1 College of Nursing, Chungnam National University, Munhwaro 266, Jung-gu, Daejeon - 301-747, KR

Abstract

Objectives: The purpose of this study was to determine the differences between good and poor glucose control groups, and as a result, to identify the factors affecting glycemic control. Methods/Statistical Analysis: This was a descriptive survey study wherein the subjects were adults with diabetes. Based on blood test results from 267 subjects, the participants were divided into two groups: good and poor glucose control. To measure the factors affecting glucose control, the demographics, clinical factors, and health-related behaviors were surveyed using a questionnaire. Real number, percentage, mean, standard deviation, Pearson's correlation, and hierarchical logistic regression were used to obtain glucose control characteristics. Findings: The American Diabetes Association has recommended that Hemoglobin A1c levels be below 7.5% in healthy adults with a long life expectancy. We used this recommended level as the criterion for our study. In the logistic regression analysis, when all variables were controlled for, the following factors were identified as significantly affecting glucose control: depression, experience of having hypoglycemia, and diabetic diet. The odds ratios were 3.58, 2.28 and 2.11, respectively. This study found that diabetic education, smoking, and alcohol consumption did not significantly affect glucose control. Improvement/Applications: Physicians and nurses should promote effective glucose control in patients with diabetes through individualized intervention methods; in this way, the patients' glucose control is maintained at an adequate level.

Keywords

Diabetes, Factor, Glucose Control, Hba1c, Hierarchical Logistic Regression.

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Kawoun Seo ¹, Myoungjin Kwon ²

Affiliations
1 Department of Nursing, Chungnam National University, 266 Munhwa-ro, Jung-gu, Daejeon, 35015, KR
2 Department of Nursing, Daejeon University, 62 Daehak-ro, Dong-gu, Daejeon, 34520, KR

Abstract

Objectives: This study was carried out to evaluate the impact of interpersonal communication competence and family communication patterns on the level of academic resilience. Methods/Statistical analysis: The data for a total of 259 nursing students were analyzed by descriptive statistics, t-tests, an ANOVA, Pearson’s correlations and hierarchical regression using the IBM SPSS 22.0 program. Findings: Interpersonal communication competence was significantly correlated with conversation-oriented family communication patterns and academic resilience (p <.001). The factors instep 1 of the regression analysis indicated several factors with significant impact on academic resilience: whether participants resided with family, interpersonal relationships, personality, and academic achievement. In step 2, academic achievement, interpersonal-communication competence, and conversation-oriented family communication patterns were identified as factors. Improvements/Applications: Remediation should reflect the different types of communication skills needed to promote academic resilience.

Keywords

Academic Resilience, Effect, Family Communication Pattern, Interpersonal-Communication Competence, Nursing Student.

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