Breakfast Quality of Preschool-aged Canadian Children.

Purpose: To investigate the breakfast quality of preschool-aged children through a comparison of their energy and nutrient intakes at breakfast to published benchmarks for a balanced breakfast.Methods: Dietary data were collected for 163 children aged 3-5 years enrolled in the Guelph Family Health Study using one parent-reported online 24-hour recall and analyzed for energy and nutrient intakes. Breakfast quality was assessed by tallying the frequency of participants whose nutrient and energy intakes at their breakfast meal met the recommendations for a balanced breakfast established by the International Breakfast Research Initiative (IRBI).Results: Almost all participants (98%) consumed breakfast, and most participants (82.5%) met the energy IRBI recommendation. However, the majority of participants did not meet the IRBI recommendations for breakfast intakes of most macronutrients and micronutrients. In particular, fewer than 25% of participants met the IRBI recommendations for breakfast intakes of dietary fibre, niacin, folate, vitamin C, calcium, potassium and zinc.Conclusions: Almost all preschool-aged children in this study consumed breakfast, but the nutritional quality of their breakfast did not meet recommendations for most nutrients. These results can inform nutrition education and intervention programs for children that aim to improve the nutritional quality of breakfast.

Technical note: A linear model for predicting δ13 Cprotein.

OBJECTIVE: Development of a model for the prediction of δ(13) Cprotein from δ(13) Ccollagen and Δ(13) Cap-co . Model-generated values could, in turn, serve as "consumer" inputs for multisource mixture modeling of paleodiet. METHODS: Linear regression analysis of previously published controlled diet data facilitated the development of a mathematical model for predicting δ(13) Cprotein (and an experimentally generated error term) from isotopic data routinely generated during the analysis of osseous remains (δ(13) Cco and Δ(13) Cap-co ). RESULTS: Regression analysis resulted in a two-term linear model (δ(13) Cprotein (%) = (0.78 × Î´(13) Cco ) - (0.58× Δ(13) Cap-co ) - 4.7), possessing a high R-value of 0.93 (r(2) = 0.86, P < 0.01), and experimentally generated error terms of ±1.9% for any predicted individual value of δ(13) Cprotein . This model was tested using isotopic data from Formative Period individuals from northern Chile's Atacama Desert. CONCLUSIONS: The model presented here appears to hold significant potential for the prediction of the carbon isotope signature of dietary protein using only such data as is routinely generated in the course of stable isotope analysis of human osseous remains. These predicted values are ideal for use in multisource mixture modeling of dietary protein source contribution.

Saving Old Bones: a non-destructive method for bone collagen prescreening.

Bone collagen is an important material for radiocarbon, paleodietary, and paleoproteomic analyses, but it degrades over time, making such analyses more difficult with older material. Collagen preservation between and within archaeological sites is also variable, so that much time, effort, and money can go into the preparation and initial analysis of samples that will not yield meaningful results. To avoid this, various methods are employed to prescreen bone for collagen preservation (e.g., %N, microporosity, and FTIR spectroscopic analyses), but these are often destructive and/or require exportation for analysis. Here, we explore near-infrared spectroscopy as a tool for gauging the collagen content of ground and whole bone from about 500 to 45,000 years ago. We show that a portable spectrometer's ability to quantify collagen content and classify specimens by preservation status is comparable to that of other popular prescreening methods. Moreover, near-infrared spectroscopy is non-destructive and spectra can be acquired in a few seconds.

Postpartum Depression Screening: A Review for Psychiatrists.

LEARNING OBJECTIVES: After participating in this activity, learners should be better able to:• Evaluate the rationale for screening women for postpartum depression• Assess tools for screening for postpartum depression OBJECTIVE: To perform a qualitative literature review on screening for postpartum depression (PPD), as applicable to the general psychiatrist. Results are classified by instrument, timing, and clinical setting of the screen. DATA SOURCES: A literature search was conducted using the PubMed database for English-language articles published since January 1987. Of the 2406 citations initially identified, 61 articles remained after application of inclusion and exclusion criteria. RESULTS: Among numerous screening tools for PPD, the Edinburgh Postnatal Depression Scale is the most widely used. Data suggest that screening for PPD should commence soon after delivery, with subsequent screens at multiple time-points in the postpartum period. Primary care, pediatric, and obstetric settings are all viable locations for screening, but are ineffective without follow-up mental health evaluations. Less data are available to define optimal patterns either for screening in psychiatric settings or for the psychiatrist's role in managing perinatal depression. CONCLUSIONS: The American Congress of Obstetricians and Gynecologists, American Academy of Pediatrics, and most authors firmly recommend screening for PPD. The Edinburgh Postnatal Depression Scale can be administered in various clinical settings. Screening should occur at multiple time-points throughout the first postpartum year. The psychiatrist's role in early detection and prevention of PPD requires further exploration.