Purpose: This study was performed to evaluate the effects of flap design, grafting material, and graft dimension on flap tension and the initial volume increase achieved in soft tissue augmentation. Methods: Six fresh porcine jaw cadavers were used in this study. Each side of the jaw was randomly assigned to receive either a standard split-thickness flap or a split-thickness flap with a palatal island. Following flap preparation, random allocation was employed to determine the order of 4 treatment modalities: 3 mm of a volume-stable collagen matrix (VCMX), 6 mm VCMX, 3 mm of a subepithelial connective tissue graft (SCTG), and 6 mm SCTG. Flap tension was measured and the wound was closed after the insertion of each specimen. Intraoral scans were taken before flap preparation and after closure to facilitate profilometric analysis. Results: The palatal island flap exhibited significantly greater overall (P=0.010) and crestal (P=0.007) volume gains compared to the split-thickness flap, regardless of the use of VCMX or SCTG. The palatal island flap was associated with significantly lower flap tension force values (0.6 N; P=0.035) than the split-thickness flap. Both materials (VCMX and SCTG) demonstrated comparable volume gains. Conclusions The findings of this cadaveric study indicate that the use of a palatal island flap effectively reduces flap tension. While both materials (VCMX and SCTG) yielded similar increases in volume, the palatal island flap demonstrated greater volume gains than the splitthickness flap for each grafting material.

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

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