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Concerns have been raised about the quality of reporting in nutritional epidemiology. Research reporting guidelines such as the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement can improve quality of reporting in observational studies. Herein, we propose recommendations for reporting nutritional epidemiology and dietary assessment research by extending the STROBE statement into Strengthening the Reporting of Observational Studies in Epidemiology - Nutritional Epidemiology (STROBE-nut). Recommendations for the reporting of nutritional epidemiology and dietary assessment research were developed following a systematic and consultative process, co-ordinated by a multidisciplinary group of 21 experts. Consensus on reporting guidelines was reached through a three-round Delphi consultation process with 53 external experts. In total, 24 recommendations for nutritional epidemiology were added to the STROBE checklist. When used appropriately, reporting guidelines for nutritional epidemiology can contribute to improve reporting of observational studies with a focus on diet and health., Original publication: This paper was originally published in PLOS Medicine under a CC-BY licence [Lachat C, Hawwash D, Ocké MC et al. (2016) Strengthening the Reporting of Observational Studies in Epidemiology – Nutritional Epidemiology (STROBE-nut): An Extension of the STROBE Statement. PLoS Med 13: e1002036].

Background: The total energy cost of pregnancy is largely due to an elevated basal metabolic rate (BMR). Large variations in the BMR response to pregnancy have been reported, but the factors associated with this variability are incompletely known. Objective: The objective was to identify factors associated with variability in the BMR response to pregnancy. Design: In 22 healthy women, BMR, body weight (BW), total body fat (TBF), fat-free mass (FFM), circulatory variables, serum concentrations of insulin-like growth factor I (IGF-I), and thyroid hormones were measured before pregnancy and in gestational weeks 14 and 32. BMR and BW were also measured in gestational weeks 8,20, and 35. Fetal weight was estimated in gestational week 31. Results: In gestational week 14, the increase in BMR correlated significantly with the corresponding increase in BW and with the prepregnancy percentage of TBF. Together these variables explained approximate to 40% of the variability in the BMR response. In gestational week 32, the increase in BMR correlated significantly with the corresponding changes in BW, TBF, FFM, IGF-I, cardiac output, and free triiodothyronine. The increase in BW in combination with fetal weight or with the elevated concentration of IGF-I in serum explained approximate to 60% of the variability in the increase in BMR. Conclusions: Weight gain and the prepregnancy percentage of TBF-ie, factors related to the maternal nutritional situation-are important factors with regard to the variability in the BMR response to pregnancy. Thus, it is important to consider the nutritional situation before and during gestation when assessing pregnancy energy requirements., QC 20120222

A national core curriculum in clinical nutrition was approved by the Section for Nutrition in the Swedish Society of Medicine in 1995. Here we report on the results of an anonymous diagnostic test based on this core curriculum in clinical nutrition, administered to medical students at the end of medical school. The test was the same for students in Linköping, Lund and Stockholm. Only 42% of the participants obtained an acceptable test result, with the score in Lund being significantly lower than those in Linköping and Stockholm. We compare the results with a similar test administered in Stockholm in 1996, and discuss current developmental work in clinical nutrition being done in all the medical faculties in Sweden.