There has been much concern with how long the period of diet recording needs in order to give a possible accurate estimation of the nutrient intake. Shorter record-keeping periods as have generally been prevalent, have some disadvantages since they may not include all the variations to which dietary intake is normally subjected. Above all nutrients vitamin A and carotene are considered to have the most remarkable seasonal variation, because most of the carotene intake is dependent upon the output of vegetables. It is the purpose of this paper to report about a dietary survey carried out for 3 days each during 12 months successively to observe the seasonal variation of nutrient intake, especially of vitamin A and carotene. Seventeen families in Yamate district of Tokyo were selected for the subjects. The results revealed that the nutrient intake in summer and autumn were generally inferior to those of winter and spring, and about the carotene intake there were found the explicit differences among months, August indicating the lowest value, 1273 I. U. per day. The individual survey for the housewives of the above families was also done and the calculated values of carotene ingested by those women were compared with those chemically analyzed. The latter were about 23% less than the former on an average.
A decrease in the intake of vitamin B1 in the rat's intestine leads to an increase in the growth of Enterococci and Esch. coli bacteria and a concurrent decrease in the amount of Lactobacilli and it's gradually decomposing in the intestinal tract. An increase in the intake of vitamin B1 decreases the amount of Enterococci and partially decrease the amount of Esch. coli bacteria in the rat's intestine and increases the amount of Lact. bacilli. The isolated faeces of decrease in the amount of vitamin B1 in the rat's intestinal bacteria is organized by the increase of the following intestinal bacteria: Esch. coli var. acidilactici, Esch. coli, and Esch. coli var. communior.
The aim of this experiment was to investigate into relationship between nutrition of animals and antibiotics, and into the mechanism of the growth of animals under the effect of aureomycin. 4mg aureomycin, 0.003mg vitamin B12 and 0.4mg vitamin B6 were added to the basal diet of 100gr. The albino rats were fed on the diet above written for 4 weeks and 8 weeks. Investigation was made, after killing them, on the growth efficiency, protein efficiency, moisture, fat and protein content in carcass and liver was also estimated.
This experiment was carried out in spring (April, 1954) as a series of previous experiments (Jap. J. Nutrition, 13, 135; 14, 43, 49, 1956) to know the seasonal differences in the effect of the environmental temperatures on the basal heat production. The results were as follows: 1) The rising of the heat production at high environmental temperature 40°C appeared earlier after entering into the experimental room and also the rate of the rising metabolism was higher than in other seasons. This tendensy suggests that body may be susceptible to the higher environmental temperature in spring. 2) At lower temperature 10°C there was no significant variation of the heat production above basal metabolism in considering the influence of the restlessness. It seemes that one keeps still in spring as much tolerance or adaptability to the relative lower environmental temperature sa in winter. The rates of rising heat production at 0°C and -10°C temperatures were the same in other seasons.
As one way of studying Japanese height and weight, it will be most reasonable to get first the correlation of height and weight and then work out the average weight in each height group by taking the spots of height concentration, and vise versa, and thus to determine the average value of each height and each weight. For doing this, We have decided, as its first step, to establish the table of height and weight correlation according to the physic findings of the National Nutrition Survey of May 1956. The method of calculation is, first the data are classified into male and female groups, age groups, and further into height groups in order to get the weight distribution.