No abstract

The present paper aimed at revealing Moroccan teenagers attitudes about dating in Morocco via

Background: Colorectal cancer (CRC) is a global public health problem, an estimated of 1.4 million cases were diagnosed worldwide in 2012. Studies in health and nutrition confirmed that dietary factors were strongly associated with CRC risk. Aim: The objective of this empirically study was to reveal unobserved dietary profiles that were associated favorably or unfavorably with CRC risk in Moroccan study population. Methods: This case-control study included a total of 2906 participants in five centers, 1453 cases and 1453 controls, and was gender, age and center matched. Statistical exploratory data reduction methods were performed in this study population based on a specific scientific hypothesis linking dietary behavior and colorectal cancer risk. Principal component analysis (PCA) was applied separately in cases and in controls as individuals and with FFQ nutritional group's heads items as variables. The correlation matrix of food variables was examined to explain most of the variation in the data, reducing a large number of food variables to a smaller set that captures the major dietary factors differences in Moroccan population. Results: Three alimentary profiles were identified for controls based on three principal component analysis, which the first one was highly positive with high cereals, fruits and nuts, legumes, fish, olive oil, dairy products and legumes consumption, and was highly negative with an increasing consumption of poultry and red meat. This component explained 26.5% of the variance in initial data and described a healthy pattern characterized with high fiber intake. In opposite, five principal components were identified for cases that indicated five nutritional profiles with a predominance of dairy products, nuts, fish consumption and low legumes, olive oil and fruits intake: its explained 15.37% of total variance. Conclusion: PCA analysis is a multidimensional factor analysis method that was used in this epidemiologic study to describe the variance in our big database in relation with CRC risk among Moroccan people. This method needs a supervised analysis such as linear discriminant analysis (LDA) to give interpretation and prediction models of CRC risk related to nutritional behavior among this study population.

No abstract

Introduction: Magnetic resonance imaging of sacroiliac joints (MRI SI) is the gold standard imaging tool for axial spondyloarthritis (ax SpA) diagnosis, when the pelvic radiograph is normal or non-conclusive. In fact, subchondral bone marrow edema (BME) is the primary MRI feature of early ax SpA. The associated factors with active sacroiliitis on MRI are still not properly elucidate. The main objective of this study is to identify the relationship between active sacroiliitis on MRI, biomarkers of inflammation and Disease Activity Scores.Materials and methods: Our work could be categorized as a cross sectional study that enrolls all patients with non-radiographic axial spondyloarthritis (nr axSpA), meeting each; the assessment of SpondyloArthritis international Society axSpA criteria (ASAS 2009), and who were admitted in our Rheumatology Department, in the university hospital Hassan II of Fez (Morocco), all along the period laying between January 2012 and March 2018. The relationship between MRI-SI, Ankylosing Spondylitis Disease Activity Score (ASDAS), Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), C reactive protein and erythrocyte sedimentation rate was investigated. Results: 105 patients were involved in the study. The average age was [44years ± 13.5]. The Sex ratio was about [1.4]. 29 % of patients were smokers. 76% of cases had active sacroiliitis on MRI, while only 28% had inactive sacroiliitis. The average CRP serum level was roughly [23.5 ± 36mg / l]. On the other side, the ESR blood level was almost [25.9±24mm/h]. 94.2% of patients used non-steroidal antiinflammatory drugs (NSAIDs). The average ASDAS value was about [2.3 ± 1]. Whereas the BASDAI one was [4.2± 1], and the BASFI one was about [4± 1.5]. Actually, No significant relationship was found between active sacroiliitis and inflammation’s biomarkers. Indeed, men had 5.6 times more active sacroiliitis, of which smokers had even 3 times more the risk to develop active sacroiliitis, while treatment with NSAIDs was proved to be a protective factor. Conclusion: Biomarkers of inflammation cannot be used as a marker of objective inflammation of sacroiliac joints on MRI; hence, the necessity of MRI screening, and more additional studies with larger number of patients, should be conducted, to identify this association even better.