PubMed · 10189529
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A I Adler, R C Turner. 1999. The diabetes prevention program.. https://doi.org/10.2337/diacare.22.4.543
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Risk factors for overweight were investigated in a cross-sectional survey of children aged 12-59 months in the Southern Brazilian city of Porto Alegre (n = 2,660). Odds ratios (OR) for overweight, defined by weight/height > 2 z-scores of the NCHS standards, were estimated for socioeconomic and demographic conditions, social environment, and childhood health events. Prevalence of overweight was 6.5%. In the multivariate model, the odds of overweight were positively associated with maternal education (schooling > 12 years, OR = 2.36; 95%CI: 1.21-4.60; 9-11 years, OR = 2.07; 95%CI: 1.16-3.70) and family income per capita > 2 times the minimum wage (OR = 1.86; 95%CI: 1.13-3.08) and negatively associated with maternal work (OR = 0.72; 95%CI: 0.52-0.99). Odds were higher for children born large-for-gestational-age (OR = 2.29; 95%CI: 1.36-3.85) and lower for children born small (OR = 0.57; 95%CI: 0.33-0.99), as compared to those born with adequate birth weight for gestational age. Paternal schooling, parental occupation, and maternal age at the child's birth were associated with overweight in the unadjusted model only. Programs are needed to prevent overweight during childhood, with special attention to families and children at increased risk.
AIMS/HYPOTHESIS: To describe the clinical, psychological and social factors affecting diabetes knowledge of veterans with established Type 2 diabetes. METHODS: We conducted an observational study of 284 insulin-treated veterans with stable Type 2 diabetes. All subjects completed the University of Michigan Diabetes Research and Training Centre Knowledge Test, the Diabetes Care Profile, the Mini-Mental State Examination, the Geriatric Depression Scale, and the Diabetes Family Behaviour Checklist. Stepwise multiple linear regression was used to develop a model for the diabetes knowledge score based upon clinical and psychosocial variables. RESULTS: One hundred eighty subjects were evaluated in a derivation set. The mean age +/- SD was 65.4+/-9.6 years, 94% were men, and 36% were members of a minority group. Performance on the diabetes knowledge test was poor (64.9+/-15.3% correct). Self-perceived understanding of all management objectives explained only 6% of the variance in the knowledge scores. Multivariate analysis showed that age, years of schooling, duration of treatment, cognitive function, sex, and level of depression were independent determinants of the knowledge score. When the model was applied to 104 subjects in a validation set, there was a strong correlation between observed and predicted scores (r=0.537; p<0.001). CONCLUSIONS/INTERPRETATION: Stable, insulin-treated veterans have major deficiencies in diabetes knowledge that could impair their ability to provide self-care. A multivariate model comprised of demographic variables and psychosocial profiling can identify patients who have limited diabetes knowledge and be used to assess individual barriers to ongoing diabetes education.
BACKGROUND: Laparoscopic colorectal surgery has clear advantages over open surgery; however, the effectiveness of the approach depends on the conversion rate. The objective of this work was to prospectively validate a model that would predict conversion in laparoscopic colorectal surgery. METHODS: A simple clinical model for predicting conversion in laparoscopic colorectal surgery was previously developed based on a multivariable logistic regression analysis of 367 procedures. This model was applied prospectively to a follow-up group of 248 procedures by the same team, including 54 procedures performed by one new fellowship-trained surgeon. RESULTS: Patients in the follow-up group were more likely to have cancer (56% vs 44%, p = 0.007) and were more obese (median, 71.0 vs 66.0 kg; p < 0.001). The rate of conversion in the follow-up group was unchanged (8.9% vs 9.0%, p > 0.05). Despite expected trends toward increasing risk of conversion with weight level (<60 kg, 6.8%; 60-<90 kg, 9.0%; >90 kg, 12.1%; p > 0.05) and malignancy (10.1% vs 7.3%, p > 0.05), the model did not distinguish well between groups at risk for conversion. Contrary to the model, however, the fellowship-trained surgeon had a conversion rate that was not higher than that of the other, more experienced surgeons (7.3% vs 9.3%, p > 0.05) even though he was less experienced, and operating on patients who were more obese (median, 75.0 vs 70 kg; p = 0.02) and more likely to have cancer (59% vs 55%, p > 0.05). Recalculated conversion scores that excluded the inexperience point for the fellowship-trained surgeon showed a good fit for the model. Considering the original and follow-up experience together (615 cases), the model clearly stratifies patients into low (0 points), medium (1-2 points), and high risk (3-4 points) for conversion, with respective rates of 2.9%, 8.1%, and 20% ( p = 0.001). CONCLUSION: This model appears to be a valid predictor of conversion to open surgery. Fellowship training may provide sufficient experience so that learning curve issues are redundant in early practice. This model now requires validation by other centers.