OBJECTIVE -To determine the long-term effect of low glycemic index dietary advice on metabolic control and quality of life in children with type 1 diabetes.RESEARCH DESIGN AND METHODS -Children with type 1 diabetes (n ϭ 104) were recruited to a prospective, stratified, randomized, parallel study to examine the effects of a measured carbohydrate exchange (CHOx) diet versus a more flexible low-glycemic index (GI) dietary regimen on HbA 1c levels, incidence of hypo-and hyperglycemia, insulin dose, dietary intake, and measures of quality of life over 12 months.RESULTS -At 12 months, children in the low-GI group had significantly better HbA 1c levels than those in the CHOx group (8.05 Ϯ 0.95 vs. 8.61 Ϯ 1.37%, P ϭ 0.05). Rates of excessive hyperglycemia (Ͼ15 episodes per month) were significantly lower in the low-GI group (35 vs. 66%, P ϭ 0.006). There were no differences in insulin dose, hypoglycemic episodes, or dietary composition. The low-GI dietary regimen was associated with better quality of life for both children and parents.CONCLUSIONS -Flexible dietary instruction based on the food pyramid with an emphasis of low-GI foods improves HbA 1c levels without increasing the risk of hypoglycemia and enhances the quality of life in children with diabetes. Diabetes Care 24:1137-1143, 2001T ype 1 diabetes is one of the most challenging medical disorders because of the demands it imposes on day-to-day life. Good glycemic control, as judged by HbA 1c levels, is clearly related to reduced risk of microvascular complications (1). Although diet plays a major role in the overall management of type 1 diabetes, it is often classed as the most difficult aspect of treatment (2,3). Furthermore, there are surprisingly few longterm studies to support current dietary recommendations. Weighed carbohydrate "exchanges," introduced in the 1950s, have been used to ensure an even distribution of complex carbohydrates throughout the day. Carbohydrate counting and higher carbohydrate intake are now recommended, although in practice, emphasis is still placed on limiting carbohydrates to a specified level and avoiding refined sugars (4,5).Different carbohydrate foods affect blood glucose levels to varying degrees, as measured by their glycemic index (GI) (6,7). Foods such as legumes and dairy products have a low GI, whereas ordinary breads, potatoes, and rice have a high GI (8). Carbohydrate counting and "exchange" diets imply that equal carbohydrate portions have the same effect on glycemia. Not only is the theoretical basis of the exchange system questionable, it is difficult to understand and implement without knowing the carbohydrate content of food (9). Several studies have shown that exchange diets do not improve glycemic control (9,10) and that many children with diabetes and their parents cannot understand or follow them (11-13). It has also been suggested that quantifying carbohydrate intake may be associated with some physiological and psychological problems, including disordered eating behavior (14). This information and the emergi...
Aspartame is a phenylalanine containing sweetener, added to foods and drinks, which is avoided in phenylketonuria (PKU). However, the amount of phenylalanine provided by aspartame is unidentifiable from food and drinks labels. We performed a cross-sectional online survey aiming to examine the accidental aspartame consumption in PKU. 206 questionnaires (58% female) were completed. 55% of respondents (n = 114) were adults with PKU or their parent/carers and 45% (n = 92) were parents/carers of children with PKU. 74% (n = 152/206) had consumed food/drinks containing aspartame. Repeated accidental aspartame consumption was common and more frequent in children (p < 0.0001). The aspartame containing food/drinks accidentally consumed were fizzy drinks (68%, n = 103/152), fruit squash (40%, n = 61/152), chewing gum (30%, n = 46/152), flavoured water (25%, n = 38/152), ready to drink fruit squash cartons (23%, n = 35/152) and sports drinks (21%, n = 32/152). The main reasons described for accidental consumption, were manufacturers’ changing recipes (81%, n = 123/152), inability to check the ingredients in pubs/restaurants/vending machines (59%, n = 89/152) or forgetting to check the label (32%, n = 49/152). 23% (n= 48/206) had been prescribed medicines containing aspartame and 75% (n = 36/48) said that medicines were not checked by medics when prescribed. 85% (n = 164/192) considered the sugar tax made accidental aspartame consumption more likely. Some of the difficulties for patients were aspartame identification in drinks consumed in restaurants, pubs, vending machines (77%, n = 158/206); similarities in appearance of aspartame and non-aspartame products (62%, n = 127/206); time consuming shopping/checking labels (56%, n = 115/206); and unclear labelling (55%, n = 114/206). These issues caused anxiety for the person with PKU (52%, n = 106/206), anxiety for parent/caregivers (46%, n = 95/206), guilt for parent/carers (42%, n = 87/206) and social isolation (42%, n = 87/206). It is important to understand the impact of aspartame and legislation such as the sugar tax on people with PKU. Policy makers and industry should ensure that the quality of life of people with rare conditions such as PKU is not compromised through their action.
A phenylalanine (protein)-restricted diet is the primary treatment for phenylketonuria (PKU). Patients are dependent on food protein labelling to successfully manage their condition. We evaluated the accuracy of protein labelling on packaged manufactured foods from supermarket websites for foods that may be eaten as part of a phenylalanine-restricted diet. Protein labelling information was evaluated for 462 food items (“free from”, n = 159, regular, n = 303), divided into 16 food groups using supermarket website data. Data collection included protein content per portion/100 g when food was “as sold”, “cooked” or “prepared”; cooking methods, and preparation instructions. Labelling errors affecting protein content were observed in every food group, with overall protein labelling unclear in 55% (n = 255/462) of foods. There was misleading, omitted, or erroneous (MOE) information in 43% (n = 68/159) of “free from” foods compared with 62% (n = 187/303) of regular foods, with fewer inaccuracies in “free from” food labelling (p = 0.007). Protein analysis was available for uncooked weight only but not cooked weight for 58% (n = 85/146) of foods; 4% (n = 17/462) had misleading protein content. There was a high rate of incomplete, misleading, or inaccurate data affecting the interpretation of the protein content of food items on supermarket websites. This could adversely affect metabolic control of patients with PKU and warrants serious consideration.
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