Dietary treatment of XXXX : can we predict long-term success?

@entity1 @entity753 @entity1007 @entity165
OBJECTIVE: To look for associations between changes in LDL @entity165 and baseline characteristics of @entity1 receiving dietary therapy for @entity1007 . METHODS: Ninety-six @entity753 individuals aged 30-65 from three primary care clinics and a worksite clinic received counseling by a physician and/or a dietitian for lifestyle and dietary modifications. Baseline nutritional intake was evaluated using three-day food diaries. Lipoprotein levels were evaluated at six weeks and thereafter every three months for one year. Partial (adjusted) correlations (beta) were calculated between baseline parameters (demographic, anthropometric, nutritional and laboratory) and changes of LDL @entity165 for the short and long term (three and 12 months). RESULTS: The average LDL @entity165 level decreased by 6 +/- 10% (p < 0.001) at the end of 12 months. This reduction was positively correlated with baseline LDL @entity165 level (beta = +0.4, p = 0.001), and negatively correlated with the baseline BMI (beta = -0.2, p < 0.05) and saturated fat intake (beta = -0.3, p < 0.05). The differences between low and high subgroups of baseline LDL @entity165 , BMI and saturated fat intake became apparent only after six to twelve months of therapy and probably result from varying levels of adherence to the dietary regimen. A significant correlation was found between the change in LDL @entity165 after six weeks and the change in LDL @entity165 after 12 months (beta = 0.4, p < 0.001). CONCLUSIONS: The probability of successfully reducing LDL @entity165 with dietary therapy can be predicted by baseline LDL @entity165 level, BMI and saturated fat intake, as well as by the response to dietary changes within six weeks of therapy.
