PURPOSE: This study aimed to characterize and identify the factors affecting fatigue in patients with type II diabetes mellitus in Korea. METHODS: A total of 180 patients with type II diabetes mellitus were recruited from the outpatient clinic of a tertiary care hospital. For data collection, a questionnaire survey of diabetes history, hypoglycemia symptoms, and fatigue was conducted between January and February 2011. Data were analyzed using t test, analysis of variance, Pearson's correlation, and hierarchical multiple regression. RESULTS: The mean fatigue and hypoglycemia symptom scores of patients with type II diabetes mellitus were 2.88 +/- 0.61 and 6.18 +/- 12.60, respectively. Hypoglycemia symptoms (p = .004), disease duration (p < .001), and age (p < .001) correlated positively with fatigue. Hierarchical multiple regression analysis revealed that hypoglycemia symptoms was the variable positively influencing fatigue in patients with type II diabetes mellitus after adjustment for influences of demographic and clinical characteristic variables. CONCLUSIONS: Hypoglycemia symptoms were confirmed to be a predictor of fatigue. Consequently, it is essential to consider age, and disease duration as well as hypoglycemia symptoms to intervene fatigue effectively among patients with type II diabetes mellitus.
Adult ; Aged ; Aged, 80 and over ; Analysis of Variance ; Cross-Sectional Studies ; Diabetes Mellitus, Type 2/complications/*epidemiology ; Fatigue/complications/*epidemiology ; Female ; Humans ; Hypoglycemia/complications/*epidemiology ; Male ; Middle Aged ; Regression Analysis ; Republic of Korea/epidemiology ; Retrospective Studies ; Risk Factors ; Surveys and Questionnaires ; Young Adult

OBJECTIVETo explore the risk factors that influencing the occurrence of road-related traffic injuries, so as to provide related bases for controlling injuries.

METHODSA case-control study was conducted on 256 drivers with histories of accidents and their controls. EPQ questionnaire and a self-designed questionnaire were used to collect data. Risk factors would include behaviors as driving time per day, types of vehicles, time and status of sleep, degree of education, diet habits, feeling of tiredness, alcohol intake, time of watching television before driving and marriage status. Physiological index as blood type, blood pressure, cordial, using tranquillizers, disease history, reaction time, eyesight, overweight, etc. were also tested. Conditional logistic regression model was used to analyze risk factors.

RESULTSFrom all these tests, risk factors which including dietetic rhythm (OR = 1.815), tiredness (OR = 3.263), history of digestive disease (OR = 3.504), weak eye sight (OR = 3.825), being divorced (OR = 3.226), wake up early (OR = 4.931), mixed insomnia (OR = 5.719), simple reaction time (OR = 3.498), complex reaction time (OR = 2.292), P score (OR = 1.352), E score (OR = 1.439) were noticed to be significantly important.

CONCLUSIONThe occurrence of road-related injuries were related to a series of physiological, psychological and behavioral risk factors among drivers.

Accidents, Traffic ; psychology ; statistics & numerical data ; Adult ; Alcohol Drinking ; adverse effects ; Case-Control Studies ; China ; epidemiology ; Fatigue ; complications ; Female ; Humans ; Logistic Models ; Male ; Risk Factors ; Surveys and Questionnaires