TY - JOUR
T1 - Metabolic control in non-insulin-dependent diabetes mellitus
T2 - Factors associated with patient outcomes
AU - O'Connor, P. J.
AU - Fragneto, R.
AU - Coulehan, J.
AU - Crabtree, B. F.
PY - 1987
Y1 - 1987
N2 - We conducted a cross-sectional study to assess the association of various demographic and medical-care variables with metabolic outcomes in non-insulin-dependent diabetic subjects. The study population was representative of the diagnosed care-seeking diabetic population of a defined geographic community on the Navajo reservation in Arizona. The dependent variable metabolic control was measured as the mean of all random plasma glucose values obtained only at scheduled diabetes clinic visits over 2 yr. Multivariate analysis of the data showed that better metabolic control was most strongly associated with compliance with scheduled appointments. Mode of treatment was also associated with metabolic control. Other variables tested, including source of care, age, sex, duration of diabetes, presence of complications, and weight change, were not associated with metabolic control. The strongest analysis of covariance model with demographic and medical-care variables accounted for 39% of the variance in metabolic control. The analysis suggests that other variables, possibly including several psychosocial variables, need to be associated for their contribution to metabolic control.
AB - We conducted a cross-sectional study to assess the association of various demographic and medical-care variables with metabolic outcomes in non-insulin-dependent diabetic subjects. The study population was representative of the diagnosed care-seeking diabetic population of a defined geographic community on the Navajo reservation in Arizona. The dependent variable metabolic control was measured as the mean of all random plasma glucose values obtained only at scheduled diabetes clinic visits over 2 yr. Multivariate analysis of the data showed that better metabolic control was most strongly associated with compliance with scheduled appointments. Mode of treatment was also associated with metabolic control. Other variables tested, including source of care, age, sex, duration of diabetes, presence of complications, and weight change, were not associated with metabolic control. The strongest analysis of covariance model with demographic and medical-care variables accounted for 39% of the variance in metabolic control. The analysis suggests that other variables, possibly including several psychosocial variables, need to be associated for their contribution to metabolic control.
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U2 - 10.2337/diacare.10.6.697
DO - 10.2337/diacare.10.6.697
M3 - Article
C2 - 3322725
AN - SCOPUS:0023585209
SN - 0149-5992
VL - 10
SP - 697
EP - 701
JO - Diabetes Care
JF - Diabetes Care
IS - 6
ER -