Objective: To assess the intake of trans fatty acids (TFA) and other fatty acids in 14 Western European countries. Design and subjects: A maximum of 100 foods per country were sampled and centrally analysed. Each country calculated the intake of individual trans and other fatty acids, clusters of fatty acids and total fat in adults andaor the total population using the best available national food consumption data set. Results: A wide variation was observed in the intake of total fat and (clusters) of fatty acids in absolute amounts. The variation in proportion of energy derived from total fat and from clusters of fatty acids was less. Only in Finland, Italy, Norway and Portugal total fat did provide on average less than 35% of energy intake. Saturated fatty acids (SFA) provided on average between 10% and 19% of total energy intake, with the lowest contribution in most Mediterranean countries. TFA intake ranged from 0.5% (Greece, Italy) to 2.1% (Iceland) of energy intake among men and from 0.8% (Greece) to 1.9% among women (Iceland) (1.2 ± 6.7 gad and 1.7 ± 4.1 gad, respectively). The TFA intake was lowest in Mediterranean countries (0.5 ± 0.8 en%) but was also below 1% of energy in Finland and Germany. Moderate intakes were seen in Belgium, The Netherlands, Norway and UK and highest intake in Iceland. Trans isomers of C 18 X1 were the most TFA in the diet. Monounsaturated fatty acids contributed 9 ± 12% of mean daily energy intake (except for Greece, nearly 18%) and polyunsaturated fatty acids 3 ± 7%. Conclusion: The current intake of TFA in most Western European countries does not appear to be a reason for major concern. In several countries a considerable proportion of energy was derived from SFA. It would therefore be prudent to reduce intake of all cholesterol-raising fatty acids, TFA included.

Food intake and energy expenditure (EE) were studied in five cyclists during the 22-day race of the Tour de France. The course is about 4000 km including 30 mountain passages (up to 2700 m altitude) and can be considered as one of the most strenuous endurance endeavors. Nutritional intake was calculated from daily food records. EE was estimated from sleeping time and the low activity period. EE during cycling was predicted based on detailed information. Mean energy intake (EI) was 24.7 MJ with a highest mean daily EI of 32.4 MJ. Mean EE was 25.4 MJ with a highest mean daily EE of 32.7 MJ. Relative contribution of protein, CHO, and fat was 15, 62, and 23 En% resp. 49% of EI was taken during the race resulting in a CHO intake of 94 g.h-1 representing 69 en%. It is questioned whether this amount of CHO is optimal in relation to CHO oxidation and performance. About 30% from CHO intake came from CHO-rich liquids. High EI resulted in high Ca and Fe intake. For vitamins, especially B1, this relation was not found. Vitamin B1 nutrient density dropped to 0.25 mg/4.2 MJ during the race caused by a large intake of refined CHO-rich food items. However, vitamin supplementation was high. Daily water intake was 6.71 with extremes up to 11.81. Therefore, the strategy of intake of large quantities of CHO-rich liquids seems to be the appropriate answer to maintain energy and fluid balance under these extreme conditions.

Objective:this paper aims to give a broad overview of published data on nutrition and health among migrants in the Netherlands, as well as data on determinants of health.Results and conclusions:Depending on the definition, 9 to 17% of the population belongs to the group ‘migrants’ and this proportion is expected to grow in the coming years. Roughly 2/3 of migrants are of the first generation and on average, they are younger than the Dutch population. Relatively few data concerning the health status of migrants are available. The diet of migrants showed both positive (macronutrients) and negative (micronutrients) differences with the general Dutch diet. The risk of overweight was high among both children and adult women, and the data suggest a higher risk for Turkish and Moroccan groups than for Dutch groups. The importance of health determinants, such as smoking, alcohol use and physical and social environment, was different for migrants than for the Dutch population; however, there were also differences between ethnic groups. The limited data on morbidity for migrants suggest higher risks than for the indigenous population. The same holds for mortality data, especially for the younger age groups. In general, the data that are available suggest that the health status of migrants was less favourable than that of the indigenous population. However, there were also differences between the various groups of migrants. The lower socio-economic position of migrant groups partly explained the differences in health status. Nevertheless, a study among Turkish people indicated that their health status was lower than that of Dutch people of comparable socio–economic status.

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