Dietary patterns and chronic disease.
Explore the source record for details and available documents.
SEARCH · Search PubMed
Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.
Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.
Explore the source record for details and available documents.
Explore the source record for details and available documents.
Explore the source record for details and available documents.
Early field studies in human nutrition documented the eating habits of African Americans living in a variety of circumstances. We compare the results of these investigations. Our analysis shows systematic differences along a continuum reaching from remote, rural communities in the South toward increasingly metropolitan locations. On the latter end of the continuum, we find diets richer in protein, composed of a wider variety of foods and containing fewer of what we now call "soul foods." Greater market involvement and access to low cost alternatives to more traditional foods help explain these developments.
Explore the source record for details and available documents.
Explore the source record for details and available documents.
Explore the source record for details and available documents.
Explore the source record for details and available documents.
From this lesson, students will discover deficiencies in their eating patterns that they may be unaware of otherwise. Consequently, they also will confirm those habits that contribute to a balanced diet. By creating goals and objectives, students will outline desired changes and delineate concrete steps in which to achieve those changes.
The Centers for Disease Control and Prevention (CDC) recently reported that 16-33% of children and adolescents in the United States are overweight or obese, making this the number one nutritional disease of this group. The prevalence appears to be increasing annually, as are the associated consequences. Moreover, the CDC estimates that less than 50% of adolescents are physically active on a regular basis. In order to improve the health of these individuals, an intervention must be focused to modify these behaviors. Facilitating the understanding of proper nutrition and need for physical activity among adolescents will likely prevent health problems such as overweight and obesity and the development of chronic diseases later in life. Despite these concerns, adolescents remain one of the most underserved populations in terms of preventive services. In the past, health education interventions have shown increases in knowledge; however, the ultimate goal of these programs is to positively impact behavior. To accomplish this, we must focus on the learning styles of "today's" adolescents. Computer-based interventions allow for individualized strategies to promote healthy lifestyles. A computer-based intervention program has the potential to elicit a greater behavior change in comparison to a traditional didactic intervention program.
We have not employed a rigid statistical interpretation of the data in this report because, as Botwinick and Arenberg pointed out, the time span of a study (if short enough) and the number of independent observations (if small enough) can affect statistical significance. In the present study, the time span was only 6 years, and the males, as well as the females, were grouped into a single age cohort. These limitations do not allow us to assess true time effects. Nevertheless, we attributed the differences noted between the cross-sectional and longitudinal slopes to a time effect, that is, to a secular trend, over the span of the study. This conclusion was based on the following line of reasoning: First, we assumed that there were no significant cohort effects in the population considered in the present study. This assumption was supported by results from the Baltimore Longitudinal Study of Aging, where no cohort effects were found. (In the Baltimore study, 180 males were followed over a period of 15 years, and the age range covered 40 years.) Second, we documented evidence that the participants in the present study actively limited their cholesterol and fat intake because of their keen awareness of an association between cholesterol intake and coronary heart disease as reported in the lay press over the past 10 years. In the healthy male population considered in the present study, we determined that there was a decrease in daily energy intake of approximately 12 kcal/year. We based this determination on the average of the cross-sectional analysis as we attributed much of the negative effect noted in the longitudinal analysis, as stated above, to a secular trend. Aging had a much lower negative effect on energy intake in the female population, being approximately 4 kcal/year. The decrease in protein intake with age was higher in males (1.1 g/day/year) than in females (0.6 g/day/year). This finding parallels the large negative effect of aging in energy intake noted for males compared with females. The same sex difference was noted for carbohydrate intake between males and females (-0.4 and -0.2 g/day/year, respectively). The cross-sectional findings for fat intake are unremarkable for the males (no change) as well as for the females (only -0.1 g/day/year).(ABSTRACT TRUNCATED AT 250 WORDS)
Explore the source record for details and available documents.
Explore the source record for details and available documents.
Explore the source record for details and available documents.
Explore the source record for details and available documents.
Explore the source record for details and available documents.
Data on the frequency of consumption of 76 foods were collected from 142 native-born Australians of Australian or British parentage, 26 of Italian parentage and 140 Italian migrants to Australia. Clear separation of the three groups was achieved, using a few as 27 food items in a discriminant function analysis. Potatoes, cauliflower, pumpkin and salt were consumed more by Australians, while salad dressings and grapes were eaten more by Italians. Australian-Italians fell between the two groups, although they tended to be more like Italians. The discriminant score derived for each person was used as an overall food score and this was then related to the serum cholesterol level. There was no consistent relationship between food score and serum cholesterol level.
Explore the source record for details and available documents.