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The purpose of this paper is to examine the associations of dietary patterns with sociodemographic and lifestyle characteristics in a cardiometabolic risk population.

In this cross-sectional study data from 295 (n=123 men/172 women, 42±16 years) participants in a Cardiovascular Health Care Program were included. After a 24-hour recall interview the dietary patterns were determined using principal component analysis. Sociodemographic, clinical and lifestyle data were collected by medical records.

Subjects with diabetes and hypertension had a higher adherence in the “traditional” pattern (rice, beans, tubers, oils and meats). Poisson regression models showed that male subjects with low schooling and smokers had greater adherence to the “traditional” pattern. Also, students, women, and those with higher schooling and sleeping =7 h/night showed higher adherence to healthy patterns (whole grains, nuts, fruits and dairy). Women, young adults and those with higher schooling and fewer sleep hours had greater adherence to healthy dietary patterns. Those with low schooling and unhealthy lifestyle showed more adherence to the “traditional” pattern.

The results indicate the importance to personalized nutritional therapy and education against cardiometabolic risk, considering the dietary patterns specific to each population.

Socioeconomic and lifestyle characteristics can influence dietary patterns and this is one of the few studies that investigated this relationship performing principal component analysis.

Doctoral programs are primarily intended to train new professors and researchers to take positions requiring research competency. This paper aims to observe the scientific production of 734 Brazilian new PhDs in management and the possible link between the scientific output of the graduates and doctoral program rank.

Methodologically, the authors built a database collecting the journal publications of the first six years after doctoral degree of all PhDs in management graduated by Brazilian doctoral programs during the period of 1998-2008. The authors use cluster and descriptive analysis to explore PhD publication.

Results show a great disparity of productivity, where 10 per cent of all new PhDs account for most of the Brazilian research productivity, while most of the PhDs have a very low performance – and that the CAPES (the Brazilian institutional system) qualification of doctoral programs is not a good predictor of the performance of the future graduates. Results are discussed to understand this productivity gap among researchers in a context of a developing country where support institutions are working to improve quantity and quality of publication.

The results are useful for recruiters that need to decide between hiring new PhDs with low productivity graduated from high-ranked programs or new PhDs with high productivity from programs with more modest ranking. At least in part, the authors’ results question the real impact that the doctoral program’s prestige has on the performance of its graduates.

There are implications for the future candidates to a management PhD program, for the Directors of these programs and for the institutional agencies that regulate and promote science and that establish the prevailing rules and norms that researchers and institutions follow.

The results are adamant in pointing out that there is a small group of highly productive new PhDs – that the authors called “stars”. Generally speaking, they may find these “star” new PhDs in several doctoral programs. They have also found that some of the new PhDs have a relatively higher level of international papers published, but not necessarily a larger volume of publications. Meanwhile, most PhDs present a very low level of performance. This has important contributions to the way they perceive the doctoral education in management, especially in Ibero-America, revealing insights about the quality of PhDs and PhD courses.