Scientific Concept of the National Cohort (status ... - Nationale Kohorte
Scientific Concept of the National Cohort (status ... - Nationale Kohorte
Scientific Concept of the National Cohort (status ... - Nationale Kohorte
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A.2<br />
A.2. <strong>Scientific</strong> background and rationale for study elements<br />
The identification <strong>of</strong> biomarkers that quantify metabolically active adipose tissue beyond<br />
anthropometric parameters represents a complementary approach to define an ”obesity<br />
phenotype” that is relevant for chronic disease risk 251 , and this approach can also provide<br />
essential insight into physiologic mechanisms <strong>of</strong> disease development. In addition, metabolically<br />
determined markers <strong>of</strong> chronic disease risks can constitute an important component<br />
in prediction models for chronic disease risks and may also represent direct targets for<br />
intervention through means <strong>of</strong> diet, lifestyle, or drug treatment. Results from prior studies<br />
suggest that <strong>the</strong>re may be a substantial overlap in metabolic pathways leading to diabetes,<br />
CVD, various cancers, neurodegenerative diseases, and early death.<br />
Assessment <strong>of</strong> metabolic parameters:<br />
Level 3: Analyses <strong>of</strong> biomaterials<br />
A.2.4.2 diet<br />
Since prospective cohort investigations into <strong>the</strong> causes on chronic disease were started up,<br />
as early as in <strong>the</strong> 1970s, diet has been a central focus <strong>of</strong> interest, and from <strong>the</strong> 1980s, many<br />
large-scale prospective studies were initiated worldwide to address relationships <strong>of</strong> diet with<br />
cancer, CVD, diabetes, and overall mortality 254, 255 . In <strong>the</strong>se larger studies, habitual dietary<br />
intake was generally assessed using food frequency-type questionnaires, in some cohorts<br />
(e.g., <strong>the</strong> EPIC cohort) combined with 24-h diet recalls in calibration substudies.<br />
Comprehensive summaries <strong>of</strong> this research by international expert panels, such as that<br />
<strong>of</strong> <strong>the</strong> World Cancer Research Fund, showed conclusive evidence for increased risks <strong>of</strong><br />
certain cancer types in association with higher reported consumption levels <strong>of</strong> alcohol, red<br />
meat, and processed meats, and a possible reduction in certain cancer risks at high intake<br />
levels <strong>of</strong> dietary fiber and whole-grain foods, although generally <strong>the</strong> associations with risk<br />
were <strong>of</strong> a relatively modest magnitude. For CVD, prospective studies and intervention trials<br />
have shown reduced risks in relation to higher consumption levels <strong>of</strong> fruits, vegetables,<br />
and n-3 polyunsaturated fatty acids 256-258 , and increased risks in relation to consumption <strong>of</strong><br />
saturated fatty acids and trans-fatty acids relative to monounsaturated and polyunsaturated<br />
fatty acids and red meat. Surprisingly, only a few studies reported specifically about <strong>the</strong> role<br />
<strong>of</strong> diet for heart failure, atrial fibrillation, and subclinical arteriosclerosis.<br />
In spite <strong>of</strong> several consistent findings relating diet to risks <strong>of</strong> cancer and CVD, evidence has<br />
also been increasing that <strong>the</strong>re are limits to <strong>the</strong> validity <strong>of</strong> dietary intake assessments based<br />
on food frequency questionnaires. For example, case-control studies nested within <strong>the</strong><br />
European Prospective Investigation into Cancer and Nutrition (EPIC) cohort have shown<br />
clear inverse relationships <strong>of</strong> serum vitamin C with gastric cancer risk 259 or several serum<br />
B vitamins with cancers <strong>of</strong> <strong>the</strong> lung and colorectum 260, 261 , and serum lycopene with risk <strong>of</strong><br />
prostate cancer 262 , where parallel evaluations on nutrient intake estimates calculated from<br />
questionnaires did not. Fur<strong>the</strong>rmore, in one <strong>of</strong> <strong>the</strong> regional subcohorts <strong>of</strong> EPIC, in Norfolk<br />
(UK), increased breast cancer risk was observed in association with higher intakes <strong>of</strong> dietary<br />
saturated fats as assessed by replicate, weighed food records, but not with dietary fat<br />
assessments by food frequency questionnaires, and a similar contrast was observed more<br />
recently in <strong>the</strong> US Women’s Health Initiative cohort 263-265 . This indicates that measurement<br />
error included in data derived from food frequency questionnaires may obscure existing<br />
diet–disease association, even associations <strong>of</strong> substantial magnitude. In-depth dietary validation<br />
studies that used recovery-based biomarkers for total dietary energy and protein as<br />
reference measurements were more valid for 24-h diet recalls than for food frequency questionnaires<br />
239, 266 . Thus, increasing precision <strong>of</strong> dietary assessment in <strong>the</strong> <strong>National</strong> <strong>Cohort</strong> is<br />
mandatory; this aim will be achieved through a combination <strong>of</strong> repeated 24-h recalls, a short<br />
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