PURPOSE: This study was performed to assess the degree of cognitive function of elderly by MMSE-K performances and of that effect. METHOD: The subjects were 185 aged over 65 in Daejeon Metropolitan city. Data were collected through personal interview using the questionnaire from 10 to 31, Jan.. 2003. The measures were Korean version of Mini-Mental State Examination(MMSE-K). RESULTS: The mean score of MMSE-K was 22.60+/-5.39. The prevalence of cognitive impairment was estimated as 48.6% by MMSE-K < or =23 and significantly age, gender, and education effect. The subtype score of MMSE-K were significantly lower in female group in each items : orientation in time and place, attention/calculation, language except registration and recall. And the scores were significantly lower in the older group and non-educated group in the all items of MMSE-K. CONCLUSION: Gender, age, and education showed significant effects on total and subtype MMSE-K score. Cognitive function decline were higher in female, older age group, and non-educated group. Therefore, those three factors are thought to be one of important risk factors for development of dementia, also it is assumed to be affected by other variables than age, gender, education effect.
Aged* ; Dementia ; Education ; Female ; Humans ; Prevalence ; Surveys and Questionnaires ; Risk Factors

PURPOSE: The purpose of this study was to examine the cognitive function in NIDDM patients. METHOD: The data were collected at MI OPD in C University hospital. with Digit Span Forward & Backward, Trail Making Test-A, Trail Making Test-B, and MMSE. RESULT: There were significant differences in DF, DB, TMT-A, and TMT-B according to gender, and in TMT-A according to living with spouse and comorbidity. There were significant differences in DF, DB, TMT-A, TMT-B, and MMSE according to monthly income, and in DF, TMT-A, and TMT-B according to hypertensive state. But, there was no difference in cognitive function score according to diabetes-related complication and diabetes treatment modality. There was a significant positive correlation between duration of NIDDM and TMT-A (r=.215, p=.025). The global cognition score was explained 42.1% of varient by age, duration of education, monthly income, and hypertensive state. CONCLUSION: As above results showed, among age, duration of education, monthly income, and hypertensive state, prevented and managed hypertensive state which is modifiable factor may reduce or delay cognitive function impairment in NIDDM patients. And DF & DB, TMT-A & B could be more utilized as useful cognitive function measurements because those tests reflected cognitive function in NIDDM patients better than MMSE.
Cognition ; Comorbidity ; Diabetes Complications ; Diabetes Mellitus, Type 2 ; Education ; Humans ; Spouses