Regular diet monitoring requires a tool validated in the target population. A 73-item, semiquantitative, self-administered food frequency questionnaire (FFQ), was adapted in French and English from the Block National Cancer Institute Health Habits and History Questionnaire. The FFQ was used to capture usual long-term food consumption among adults living in Quebec. A representative sample of adults aged 18 to 82 (57% female) was recruited by random digit dialling in the Montreal region. Approximately 64% of recruits completed and returned the instrument by mail (n=248). The FFQ was validated in a subsample (n=94, 61% female) using four nonconsecutive food records (FRs). Median energy intakes (in kcal) for men and women, respectively, were FFQ (total sample) 2,112 and 1,823, FFQ (subsample) 2,137 and 1,752, and FR (subsample) 2,510 and 1,830. Spearman correlation analyses between FFQ and FR nutrients were positive (with r ranging from 0.32 for folate to 0.58 for saturated fatty acids) and statistically significant (p<0.001), with better results among women. On average, cross-classification of energy and 24 nutrients from the FFQ and means of four FRs placed 39% into identical quartiles and 78% into identical and contiguous quartiles, with only 4% frankly misclassified. These results suggest that the FFQ is a relatively valid instrument for determining usual diet in Quebec adults.
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http://dx.doi.org/10.3148/66.2.2005.67 | DOI Listing |
BMC Med
January 2025
Department of Public Health, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
Background: Over the past decades, the prevalence of obesity among adults has rapidly increased, particularly in socioeconomically deprived urban neighbourhoods. To better understand the complex mechanisms behind this trend, we created a system map exposing the underlying system driving obesity prevalence in socioeconomically deprived urban neighbourhoods over the last three decades in the Netherlands.
Methods: We conducted Group Model Building (GMB) sessions with a group of thirteen interdisciplinary experts to develop a Causal Loop Diagram (CLD) of the obesogenic system.
BMC Endocr Disord
January 2025
Department of Nutrition and Food Safety, School of Public Health, Xi'an Jiaotong University, Xi'an, 710061, China.
Background: The present study aimed to explore the threshold-effect association of serum ferritin levels with type 2 diabetes mellitus (T2DM) and prediabetes mellitus in Chinese adults.
Methods: A total of 8365 people from CHNS a cross-sectional survey in 2009 were finally included. The biomarker data, including major cardiovascular biomarkers and important nutrition biomarkers were collected.
BMC Public Health
January 2025
Biochemistry Department, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia.
Background: Over 390 million children and adolescents are affected by overweight and obesity worldwide. Similarly, obesity rates are rising in these age groups in the Middle East and Gulf region including Saudi Arabia. Dietary habits are fundamental in childhood overweight and obesity management.
View Article and Find Full Text PDFNat Microbiol
January 2025
Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.
As plant-based diets gain traction, interest in their impacts on the gut microbiome is growing. However, little is known about diet-pattern-specific metagenomic profiles across populations. Here we considered 21,561 individuals spanning 5 independent, multinational, human cohorts to map how differences in diet pattern (omnivore, vegetarian and vegan) are reflected in gut microbiomes.
View Article and Find Full Text PDFSci Rep
January 2025
Feed the Future Innovation Lab for Collaborative Research on Sustainable Intensification, Kansas State University, Manhattan, KS, 66506, USA.
The increasing frequency of heat stress events due to climate change disrupts all stages of plant growth, significantly reducing yields, especially in crops like mung bean (Vigna radiata (L.) R. Wilczek).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!