Joint Data Analysis in Nutritional Epidemiology: Identification of Observational Studies and Minimal Requirements.

Background: Joint data analysis from multiple nutrition studies may improve the ability to answer complex questions regarding the role of nutritional status and diet in health and disease. Objective: The objective was to identify nutritional observational studies from partners participating in the European Nutritional Phenotype Assessment and Data Sharing Initiative (ENPADASI) Consortium, as well as minimal requirements for joint data analysis. Methods: A predefined template containing information on study design, exposure measurements (dietary intake, alcohol and tobacco consumption, physical activity, sedentary behavior, anthropometric measures, and sociodemographic and health status), main health-related outcomes, and laboratory measurements (traditional and omics biomarkers) was developed and circulated to those European research groups participating in the ENPADASI under the strategic research area of "diet-related chronic diseases." Information about raw data disposition and metadata sharing was requested. A set of minimal requirements was abstracted from the gathered information. Results: Studies (12 cohort, 12 cross-sectional, and 2 case-control) were identified. Two studies recruited children only and the rest recruited adults. All studies included dietary intake data. Twenty studies collected blood samples. Data on traditional biomarkers were available for 20 studies, of which 17 measured lipoproteins, glucose, and insulin and 13 measured inflammatory biomarkers. Metabolomics, proteomics, and genomics or transcriptomics data were available in 5, 3, and 12 studies, respectively. Although the study authors were willing to share metadata, most refused, were hesitant, or had legal or ethical issues related to sharing raw data. Forty-one descriptors of minimal requirements for the study data were identified to facilitate data integration. Conclusions: Combining study data sets will enable sufficiently powered, refined investigations to increase the knowledge and understanding of the relation between food, nutrition, and human health. Furthermore, the minimal requirements for study data may encourage more efficient secondary usage of existing data and provide sufficient information for researchers to draft future multicenter research proposals in nutrition.

Estimating Usual Intake in the 2nd Bavarian Food Consumption Survey: Comparison of the Results Derived by the National Cancer Institute Method and a Basic Individual Means Approach.

BACKGROUND: The valid estimation of the usual dietary intake remains a challenge till date. We applied the method suggested by the National Cancer Institute (NCI) to data from the 2nd Bavarian Food Consumption Survey (BVS II) and compared it to an individual means approach. METHODS: Within the cross-sectional BVS II, 1,050 Bavarian residents aged 13-80 years participated in a personal interview and completed three 24-h dietary recalls by telephone interview. For the 13 main food groups and 23 subgroups the usual intake was calculated by (1) an individual means approach and (2) by the NCI method. RESULTS: The distributions derived by the individual means approach are wider than those derived from the NCI approach. For a majority of food groups and subgroups, the proportion of participants who meet the dietary recommendations published by the German Nutrition Society is higher when the NCI approach is applied. The proportions of participants above or below recommended amounts differ greatly for "meat and meat products" and "cheese." CONCLUSION: The mean intake at the groups level can easily be derived from the individual means approach. Since only the NCI method accounts for intra-personal variation, this method provides more valid intake estimates at the individual level and should be applied when, for example, individual intakes are compared with dietary recommendations.

A Systematized Review of Professional Employment Following Thoracic Transplantation.

INTRODUCTION: Acknowledging the evolved landscape in thoracic transplantation, professional employment becomes an important outcome measure to quantify the success of this costly procedure. OBJECTIVE: We aimed to assess rates of and characterize factors associated with professional employment in patients following thoracic transplantation, and create an evidence-base on the relationship between professional employment and relevant outcome parameters. METHODS: We systematically searched Medline, Cinahl, and GoogleScholar to identify studies published between 1998 and 2021 reporting on professional employment following heart and lung transplantation. RESULTS: Twenty-two studies from 11 countries with varying sample sizes (N = 27; 10 066) were included. Employment rates ranged from 19.7% to 69.4% for heart, and from 7.4% to 50.8% for lung transplant recipients. Most frequently reported positively associated factors with employment after transplant were younger age, higher education, and history of pretransplant employment. Longer duration of unemployment prior to transplantation and Medicaid coverage were the most frequently reported negatively associated factors. Relationships between professional employment and clinical outcomes included lower rates of acute and chronic rejection, less infection episodes, and better quality of life among working patients; one study reported a lower 5-year-mortality rate. Reasons not to work were "physical or mental health-related," "employment-related," "financial reasons," and "lifestyle choices." DISCUSSION: Substantial proportions of patients following thoracic transplantation are not professionally employed, potentially diminishing the success of transplantation on individual and societal levels. Considering adverse clinical outcomes in employed transplant recipients were low, more efforts are needed to identify modifiable factors for employment in these populations.

Food intake of young people with a migration background living in Germany.

OBJECTIVE: To explore the food intake of young migrants living in Germany. DESIGN: Children and adolescents aged 0 to 17 years living in Germany, including 17.1 % with a migration background, were examined in a representative health survey. Food frequency data of 7186 boys and 6919 girls, aged 3 to 17 years, were analysed separately for Turkish, Russian Germans, other migrants and non-migrants. Daily food intake was calculated and a healthy diet score was used to allow an overall interpretation of the diet. Using stepwise linear regression, the association between migrant status and healthy diet score was analysed. RESULTS: Turkish participants (4.8 %) consumed significantly more soft drinks, fried potatoes, chocolate cream and snacks than all other groups and significantly less meat than other migrants and non-migrants. Turkish as well as other migrants (8.8 %) ate more poultry, fish and pasta/rice, and less sausage/bacon and cooked potatoes, than Russian Germans and non-migrants. Russian Germans (3.5 %) consumed less cooked vegetables than non-migrants and other migrants. Non-migrants had a better mean dietary score than Russian Germans and other migrants. A less preferable diet score was associated with higher age, male sex, being a migrant from Russia, low or middle socio-economic status, and living in rural or provincial areas. CONCLUSIONS: The study showed considerable differences in dietary habits between young persons of different origin. This underlines the importance of focusing on ethnic groups in dietary interventions.

HuSKY: a healthy nutrition score based on food intake of children and adolescents in Germany.

For many epidemiological questions an overall indicator of healthy nutrition can be useful. Based on the data from the FFQ of the German Health Interview and Examination Study for children and adolescents (KiGGS) we developed a healthy nutrition score based on a comparison with current recommendations for children and adolescents. We observed independent and statistically significant relationships between the nutrition score and age, sex, socio-economic status, immigration background, level of urbanisation and residence in former East v. former West Germany. Furthermore, the nutrition score was statistically significantly related to serum concentrations of homocysteine (inverse association) and folate (positive associations). The construction of a healthy nutrition score appears to be useful for several reasons. For instance, our score can be used to summarise an abundance of dietary information to a single measure, to get an overall impression of diets of individuals or groups, which can be useful to detect certain risk groups.

Potential determinants of obesity among children and adolescents in Germany: results from the cross-sectional KiGGS Study.

BACKGROUND: Obesity among children and adolescents is a growing public health problem. The aim of the present paper is to identify potential determinants of obesity and risk groups among 3- to 17-year old children and adolescents to provide a basis for effective prevention strategies. METHODS: Data were collected in the German Health Interview and Examination Survey for Children and Adolescents (KiGGS), a nationally representative and comprehensive data set on health behaviour and health status of German children and adolescents. Body height and weight were measured and body mass index (BMI) was classified according to IOTF cut-off points. Statistical analyses were conducted on 13,450 non-underweight children and adolescents aged 3 to 17 years. The association between overweight, obesity and several potential determinants was analysed for this group as well as for three socio-economic status (SES) groups. A multiple logistic regression model with obesity as the dependent variable was also calculated. RESULTS: The strongest association with obesity was observed for parental overweight and for low SES. Furthermore, a positive association with both overweight (including obesity) and obesity was seen for maternal smoking during pregnancy, high weight gain during pregnancy (only for mothers of normal weight), high birth weight, and high media consumption. In addition, high intakes of meat and sausages, total beverages, water and tea, total food and beverages, as well as energy-providing food and beverages were significantly associated with overweight as well as with obesity. Long sleep time was negatively associated with obesity among 3- to 10-year olds. Determinants of obesity occurred more often among children and adolescents with low SES. CONCLUSION: Parental overweight and a low SES are major potential determinants of obesity. Families with these characteristics should be focused on in obesity prevention.

Public perceptions of cohort studies and biobanks in Germany.

Cohort studies and biobank projects have led to public discussions in several European countries in the past. In Germany, many medium-sized studies are currently running successfully in terms of respondent rates. However, EU-wide research on general public perceptions of biobanks and cohort studies have shown that Germany is among those countries where people express the highest reluctance for providing body material and other data for research purposes. Because of early efforts of the just-initiated German National Cohort Study, we are able to begin to investigate in greater detail how various groups of people across Germany reflect and discuss the ongoing implementation of cohort studies and biobanking in Germany. Our research is based on 15 focus group discussions in four German regions, as well as on Eurobarometer poll data on biobanking.

Indicators of overweight and cardiovascular disease risk factors among 11- to 17-year-old boys and girls in Germany.

OBJECTIVE: We analyzed the magnitude of the association between cardiovascular disease (CVD) risk factors and various measures of overweight among adolescents, to determine which indicator of overweight is most relevant for risk assessment. METHODS: 5,546 boys and girls aged 11-17 years participating in the German Health Interview and Examination Survey for Children and Adolescents (KiGGS) were studied. Overweight was assumed when different anthropometric variables exceeded age- and sex-specific 90th percentiles. Blood pressure was measured and blood samples were analyzed for serum total cholesterol, lipoproteins, high-sensitivity C-reactive protein, and glycosylated hemoglobin (HbA1c). RESULTS: In both sexes, overweight was significantly associated with adverse levels of CVD risk factors, except HbA1c. These associations were most pronounced for overweight as defined by waist circumference (WC), waist-to-height ratio (WHtR), or BMI. Between 11% and 37% of the overweight children exceeded the defined cut-offs for individual CVD risk factors, with age- and puberty-adjusted significant odds ratios (95% confidence interval (CI)) in comparison to normal-weight age mates ranging from 1.7 (1.0-3.0) to 6.1 (4.5-8.2). CONCLUSIONS: The findings of this population-based survey suggest that, among adolescents, WC, WHtR, and BMI are easily applicable measures of overweight that appear to be relevant for CVD risk assessment.