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Nutritional Epidemiology - Science topic
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Hi, does anyone know what program/software I can get food figures like these from?

Dear All,
My current field is Epidemiology. Also, I am highly interested in the field of Nutrition Sciences and looking forward to increasing my knowledge in that.
I would be thankful if you could let me know whether there has been any recommendation beyond the relevant reading and collaborating with nutritionists in academic writing.
Kind regards,
Hello, I have a master's degree in public health and epidemiology. And a university degree in nutritional epidemiology. I have six years of experience in the field. co-authors in a dozen publications in scientific journals. Sorry I am looking for a scholarship opportunity to continue my doctoral studies (PhD) in the field of public health, epidemiology or nutrition. Could someone help me please?
A recent series of papers (links below) suggests that most nutrition epidemiologic research is “meaningless” and engendered a fictional “diet-centric” discourse with significant ramifications for public health policy.
A recent “Controversy & Debate” series in the Journal of Clinical Epidemiology suggests that the results and conclusions of nutrition epidemiologic research are both "pseudo-scientific" and “meaningless” (links below). This conclusion was based on the fact that FFQs and other memory-based dietary assessment methods (M-BMs) produce data that are “physiologically implausible” and have non-quantifiable (i.e., non-falsifiable) measurement error.
For example, there are myriad factors that render it impossible to ascertain if reported foods and beverages match the respondent’s actual consumption. These include reactivity, lying, false memories, forgetting, mis-estimation, pseudo-quantification, and invalid nutrient databases. Additionally, the use of M-BMs is based on multiple logical fallacies.
Thus, how can nutrition epidemiologic data be valid?
Dietary assessment tools are fraught with reporting difficulties for adults--those who actually have the skills to report intakes for themselves. That difficulty is magnified when trying to collect data on young children's intake.
Given: dietary data is subject to reporting bias
BUT, if one has to do it, what are the best method(s) to pursue this?
I am calculating power because i am doing a secundary data base study (case-control study) and I don't know if it is correctly to consider the number of participant which intake is above the median as the proportion of cases and control exposed? I am using Open Epid for calculations. I am studying carotenoid intake.
tetracycline and vitamin A derivatives are associated with IIH. How these drugs are responsible for development of IIH. And also female gender and Obesity has also association. Is there any scientific explanations?
Is it possible to estimate the level of food security using nutritional status of children. if it so, how to estimate the same.
Please share some information.
Thanking you.
What type of schedule we should use to find out nutritional gap.
I am currently working on my master thesis regarding “Dietary patterns and dietary diversity among overweight and obese children”
This project is based on a “cross-sectional study” amongst a rural population. Since a validated food frequency questionnaire for this population does not exist, can we use 24-hour recall intervals for analysis of dietary patterns or is an appropriate food frequency questionnaire needed for this project?
Is there any easy approach to apply based on available statistics at national level?
Have done a several meta-analysis in animal science, especially animal nutrition. Have used standardized effects sizes such as Hedges'g. However, want to move to epidemiology (causes of diseases), and would like to apply effect sizes such as relative risks, which is directly stated in research articles. My question is when they are mentioning highest vs lowest levels of intake of a nutrient, do that mean the lower and higher 95 % CI? Also, can quintiles or quartiles been used when no CI are available?
I would also want to know what to do if I want to describe results qualitatively?
Sorry that I am still so "uninformed" on the basics after all the years.
Thanks a lot
James
I'm doing a study on the prevention of obesity in children and adolescents with Down syndrome
Why is fighting hidden hunger important?
As you may know, fiber represent a group of carbohydrates or carbohydrate-containing compounds that are neither digested nor absorbed in the small intestine. You may also know that the fermentation potential varies among this group which implies that the traditional total fiber information in food composition database might not be very helpful when studying the relationship between fiber intake and gut microbiota ecosystem.
Do you know if a food composition database containing detailed information on fibers compounds (e.g. cellulose, hemicellulose, beta-glucans, pectins, etc.) exists? Without being a food composition database, it could be a specific table like the “International Tables of Glycemic Index and Glycemic Load Values”.
Thank you very much for your answers.
Best regards
I am would be very grateful for any recommendations how to investigate best the nutritional habits in pregnancy a subsequently in a cohort of mothers as well as children up to 3 years of age - it is intended a longitudinal study with some sort of combination of FFQ questionnaire and food records (3-day or 1-day record). I don't know much about the quality of available questionnaires - what is the best method to get the best data? Or where is it possible to get the questionnaires? I will be very grateful for any suggestions...J.
Rounding Time variable in SPSS or STATA
Randomization is necessary to minimize bias in intervention study. For a crossover study, randomization is only performed at the order of the treatment sequence. But if I were to perform systematic review, is it highly biased if a randomized crossover study did not describe how it performed randomization method?