NHANES is the cornerstone for national nutrition monitoring to inform nutrition and health policy. Nutritional assessment in NHANES is described with a focus on dietary data collection, analysis, and uses in nutrition monitoring. NHANES has been collecting thorough data on diet, nutritional status, and chronic disease in cross-sectional surveys with nationally representative samples since the early 1970s. Continuous data collection began in 1999 with public data release in 2-y cycles on ∼10,000 participants. In 2002, the Continuing Survey of Food Intakes by Individuals and the NHANES dietary component were merged, forming a consolidated dietary data collection known as What We Eat in America; since then, 24-h recalls have been collected on 2 d using the USDA’s Automated Multiple-Pass Method. Detailed and targeted food-frequency questionnaires have been collected in some NHANES cycles. Dietary supplement use data have been collected (in detail since 2007) so that total nutrient intakes can be described for the population. The continuous NHANES can adapt its content to address emerging public health needs and reflect federal priorities. Changes in data collection methods are made after expert input and validation/crossover studies. NHANES dietary data are used to describe intake of foods, nutrients, food groups, and dietary patterns by the US population and large sociodemographic groups to plan and evaluate nutrition programs and policies. Usual dietary intake distributions can be estimated after adjusting for day-to-day variation. NHANES remains open and flexible to incorporate improvements while maintaining data quality and providing timely data to track the nation’s nutrition and health status. In summary, NHANES collects dietary data in the context of its broad, multipurpose goals; the strengths and limitations of these data are also discussed in this review.
To monitor inflammation in a meaningful way, the markers used must be valid: they must reflect the inflammatory process under study and they must be predictive of future health status. In 2009, the Nutrition and Immunity Task Force of the International Life Sciences Institute, European Branch, organized an expert group to attempt to identify robust and predictive markers, or patterns or clusters of markers, which can be used to assess inflammation in human nutrition studies in the general population. Inflammation is a normal process and there are a number of cells and mediators involved. These markers are involved in, or are produced as a result of, the inflammatory process irrespective of its trigger and its location and are common to all inflammatory situations. Currently, there is no consensus as to which markers of inflammation best represent low-grade inflammation or differentiate between acute and chronic inflammation or between the various phases of inflammatory responses. There are a number of modifying factors that affect the concentration of an inflammatory marker at a given time, including age, diet and body fatness, among others. Measuring the concentration of inflammatory markers in the bloodstream under basal conditions is probably less informative compared with data related to the concentration change in response to a challenge. A number of inflammatory challenges have been described. However, many of these challenges are poorly standardised. Patterns and clusters may be important as robust biomarkers of inflammation. Therefore, it is likely that a combination of multiple inflammatory markers and integrated readouts based upon kinetic analysis following defined challenges will be the most informative biomarker of inflammation.
Objective
To investigate associations of daily breakfast consumption (DBC) with demographic and lifestyle factors in 41 countries.
Methods
Design: Survey including nationally representative samples of 11–15 year olds (n = 204,534) (HBSC 2005–2006). Statistics: Multilevel logistic regression analyses
Results
DBC varied from 33 % (Greek girls) to 75 % (Portuguese boys).
In most countries, lower DBC was noticed in girls, older adolescents, those with lower family affluence and those living in single-parent families. DBC was positively associated with healthy lifestyle behaviours and negatively with unhealthy lifestyle behaviours.
Conclusion
Breakfast skipping deserves attention in preventive programs. It is common among adolescents, especially girls, older adolescents and those from disadvantaged families.
The results indicate that DBC can serve as an indicator to identify children at risk for unhealthy lifestyle behaviours.
Objectives-To examine overweight prevalence and its association with demographic and lifestyle factors in 11-15 year olds in the HBSC 2005-2006 survey. Methods-Self-reports of height, weight, eating patterns, physical activity and sedentary behaviours were obtained from nationally representative samples in 41 countries (n=205,939).Results-Overweight prevalence was highest in USA (28.8%) and lowest in Latvia (7.6%). In most countries, overweight was more prevalent in boys than girls. Overweight was consistently negatively associated with breakfast consumption and moderate to vigorous physical activity; OR range: 0.48-0.79 and 0.50-0.78, respectively.Conclusion-Overweight prevalence in youth remained high across the countries examined. The primary factors linked to overweight were breakfast consumption and physical activity. These data should contribute to formulating preventive programs and policies.
Background: Parents have significant influence on behaviors and perceptions surrounding eating, body image and weight in adolescents. The aim of this study was to examine the prevalence of body weight dissatisfaction, difficulty in communication with the parents and the relationship between communication with parents and adolescents' dissatisfaction with their body weight (dieting or perceived need to diet).
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