National Income Inequality and International Business Expansion

We examine the extent to which host country income inequality influences multinational enterprises’ (MNE) expansion strategy for foreign production investment, depending on their specific strategic objectives. Applying a transaction cost framework, we predict that national income inequality has an inverted U-shaped relationship with foreign production investment. As inequality increases, MNEs accrue lower transaction costs arising from interactions with various local actors, leading to higher probability of investment. As income inequality increases further, its effect on location attractiveness will become negative, as its attraction effect is increasingly offset by additional monitoring, bargaining, and security costs owing to the more fractious nature of high inequality societies. In addition, we suggest that the impact of income inequality is contingent on investment objectives: The inverted U-shaped relationship is stronger for efficiency-seeking investment but weaker for market-seeking and competence-enhancing investments. We find substantial support for our hypotheses through an analysis of 27 years (1986-2012) of data on Japanese MNEs’ overseas production entries

Data from the European registry for patients with McArdle disease and other muscle glycogenoses (EUROMAC)

Contains fulltext : 227465.pdf (publisher's version ) (Open Access

A predictive tool based on DNA methylation data for personalized weight loss through different dietary strategies: a pilot study

Background and aims: Obesity is a public health problem. The usual treatment is a reduction in calorie intake and an increase in energy expenditure, but not all individuals respond equally to these treatments. Epigenetics could be a factor that contributes to this heterogeneity. The aim of this research was to determine the association between DNA methylation at baseline and the percentage of BMI loss (%BMIL) after two dietary interventions, in order to design a prediction model to evaluate %BMIL based on methylation data. Methods and Results: Spanish participants with overweight or obesity (n = 306) were randomly assigned to two lifestyle interventions with hypocaloric diets: one moderately high in protein (MHP) and the other low in fat (LF) for 4 months (Obekit study; ClinicalTrials.gov ID: NCT02737267). Basal DNA methylation was analyzed in white blood cells using the Infinium MethylationEPIC array. After identifying those methylation sites associated with %BMIL (p 0.1), two weighted methylation sub-scores were constructed for each diet: 15 CpGs were used for the MHP diet and 11 CpGs for the LF diet. Afterwards, a total methylation score was made by subtracting the previous sub-scores. These data were used to design a prediction model for %BMIL through a linear mixed effect model with the interaction between diet and total score. Conclusion: Overall, DNA methylation predicts the %BMIL of two 4-month hypocaloric diets and was able to determine which type of diet is the most appropriate for each individual. The results of this pioneer study confirm that epigenetic biomarkers may be further used for precision nutrition and the design of personalized dietary strategies against obesity

Total polyphenol intake, polyphenol subtypes and incidence of cardiovascular disease: The SUN cohort study

Background and aims: Polyphenol-rich diets have been associated with reduced risk of cardiovascular disease (CVD). However, few prospective epidemiological studies have examined the relationship between classes of ingested polyphenols and risk of CVD. Our aim was to eval- uate the association between polyphenol intake and risk of major cardiovascular events in a pro- spective Spanish cohort. Methods and results: We included 17,065 university graduates (60.7% women, mean age: 37.2 years, age range: 20e89) followed-up for a mean of 10.1 years. Polyphenol intake was assessed at baseline using a validated semi-quantitative 136-item food frequency questionnaire and matching food consumption data with the Phenol-Explorer database. Cox proportional hazards models were used to estimate the adjusted hazard ratios (HR) and 95% confidence intervals (95% CI) for incident cardiovascular events (myocardial infarction, stroke or cardiovascular death). Cherries, chocolate, coffee, apples, and olives were the major sources of variability in polyphenol intake. Participants with higher flavonoids intake (fifth quintile) had a 47% lower incidence of cardiovascular events compared to those in the lowest quintile (HR: 0.53, 95% CI: 0.29e0.98; P for trend Z 0.09) after adjusting for potential confounders. The results were non-significant for other polyphenol types. Conclusion: The intake of flavonoids showed an inverse association with risk of cardiovascular events in a prospective cohort of Spanish middle-aged adult university graduates. Registration number for clinical trials: NCT02669602 in Clinical Trials. a 2018 The Italian Society of Diabetology, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition, and the Department of Clinical Medicine and Surgery, Feder- ico II University. Published by Elsevier B.V. All rights reserved