Highlights d Milk microbiota variability is affected by maternal factors and other milk components d Some factors have phylum-specific effects d Some variations in milk microbiota are sex-specific d Feeding method (at the breast versus pumped) was strongly associated with milk microbiota

Articles published in several prominent educational journals were examined to investigate the use of data-analysis tools by researchers in four research paradigms: between-subjects univariate designs, between-subjects multivariate designs, repeated measures designs, and covariance designs. In addition to examining specific details pertaining to the research design (e.g., sample size, group size equality/inequality) and methods employed for data analysis, we also catalogued whether: (a) validity assumptions were examined, (b) effect size indices were reported, (c) sample sizes were selected based on power considerations, and (d) appropriate textbooks and/or articles were cited to communicate the nature of the analyses that were performed. Our analyses imply that researchers rarely verify that validity assumptions are satisfied and accordingly typically use analyses that are nonrobust to assumption violations. In addition, researchers rarely report effect size statistics, nor do they routinely perform power analyses to determine sample size requirements. We offer many recommendations to rectify these shortcomings. Data Analytic Practices 3 Statistical Practises of Educational Researchers:An Analysis of Their ANOVA, MANOVA and ANCOVA Analyses It is well known that the volume of published educational research is increasing at a very rapid pace. As a consequence of the expansion of the field, qualitative and quantitative reviews of the literature are becoming more common. These reviews typically focus on summarizing the results of research in particular areas of scientific inquiry (e.g., academic achievement or English as a second language) as a means of highlighting important findings and identifying gaps in the literature. Less common, but equally important, are reviews that focus on the research process, that is, the methods by which a research topic is addressed, including research design and statistical analysis issues.Methodological research reviews have a long history (e.g., Edgington, 1964; Elmore & Woehlke, 1988 Goodwin & Goodwin, 1985a, 1985bWest, Carmody, & Stallings, 1983).One purpose of these reviews has been the identification of trends in data-analytic practice. The documentation of such trends has a two-fold purpose: (a) it can form the basis for recommending improvements in research practice, and (b) it can be used as a guide for the types of inferential procedures that should be taught in methodological courses, so that students have adequate skills to interpret the published literature of a discipline and to carry out their own projects.One consistent finding of methodological research reviews is that a substantial gap often exists between the inferential methods that are recommended in the statistical research literature and those techniques that are actually adopted by applied researchers (Goodwin & Goodwin, 1985b;Ridgeway, Dunston, & Qian, 1993). The practice of relying on traditional methods of analysis is, however, dangerous. The field of statistics is by no means static; improveme...

Clinicians should be aware of the increased prevalence of depression and possibly other anxiety disorders in persons with IBD as these disorders may influence response to treatment and quality of life.

No abstract

O steoporosis is a common condition throughout the developed world, affecting up to 16% of women and 7% of men aged 50 years and older. 1 The presence of underlying osteoporosis is a major risk factor for the development of fractures of the hip, proximal femur, spinal vertebra and forearm. In 2000, the estimated number of people with fractures worldwide was 56 million, and about 9 million new osteoporotic fractures occur each year.2 In 1993/94, the number of hip fractures in Canada was 23 375.3 This number is predicted to increase to 88 124 by the year 2041, with a parallel increase in the number of days in hospital (465 000 patientdays in 1993/94 to 1.8 million in 2041).3 Moreover, the casefatality rate for hip fractures can exceed 20%, 4 and all osteoporosis-related fractures can lead to substantial long-term disability and decreased quality of life. 5Many risk factors for the development of osteoporosis-related fracture have been identified, including white ethnic background, low body mass index, physical inactivity and female sex. [6][7][8] There are also a number of medication classes, including corticosteroids and serotonin selective reuptake inhibitors, whose use has been linked to higher rates of osteoporosis.9-11 Furthermore, any condition or drug that increases the risk of falls and injury also increases the risk of an osteoporosis-related fracture. 12,13One medication class that may affect bone mineral metabolism is proton pump inhibitors. This class of drugs inhibits the production and intragastric secretion of hydrochloric acid, which is believed to be an important mediator of calcium absorption in the small intestine.14 Recent studies have suggested that the use of proton pump inhibitors for 1 or more years is associated with hip fracture and other osteoporotic fractures; however, there is limited data on additional risk beyond 4 years exposure. 15,16 Because proton pump inhibitors are commonly prescribed to control and prevent symptoms of chronic unrelenting conditions, it is likely that many patients will use these medications for more than 4 years. Therefore, we used an adminstrative database to examine the effects of longer durations of proton pump inhibitor use on the development of osteoporosis-related fractures. Methods Data sourcesWe performed a retrospective, matched cohort study using the Population Health Research Data Repository, which contains comprehensive health care utilization data for nearly all CMAJ ResearchBackground: The use of proton pump inhibitors has been associated with an increased risk of hip fracture. We sought to further explore the relation between duration of exposure to proton pump inhibitors and osteoporosis-related fractures. Methods:We used administrative claims data to identify patients with a fracture of the hip, vertebra or wrist between April 1996 and March 2004. Cases were each matched with 3 controls based on age, sex and comorbidities. We calculated adjusted odds ratios (OR) for the risk of hip fracture and all osteoporosis-related fractures for durations...

Approximately one-third of IBD patients were low adherers. Predictors of adherence differed markedly between genders, although obstacles such as medication cost were relevant for both men and women.

The study objective was to determine whether diabetes is a risk factor for incident hip or major osteoporotic fractures independent of the WHO fracture risk assessment tool (FRAX). Men and women with diabetes (n ¼ 3518) and nondiabetics (n ¼ 36,085) aged !50 years at the time of bone mineral density (BMD) testing (1990 to 2007) were identified in a large clinical database from Manitoba, Canada. FRAX probabilities were calculated, and fracture outcomes to 2008 were established via linkage with a population-based data repository. Multivariable Cox proportional hazards models were used to determine if diabetes was associated with incident hip fractures or major osteoporotic fractures after controlling for FRAX risk factors. Mean 10-year probabilities of fracture were similar between groups for major fractures (diabetic 11.1 AE 7.2 versus nondiabetic 10.9 AE 7.3, p ¼ 0.116) and hip fractures (diabetic 2.9 AE 4.4 versus nondiabetic 2.8 AE 4.4, p ¼ 0.400). Diabetes was a significant predictor of subsequent major osteoporotic fracture (hazard ratio [HR] ¼ 1.61, 95% confidence interval [CI] 1.42-1.83) after controlling for age, sex, medication use, and FRAX risk factors including BMD. Similar results were seen after adjusting for FRAX probability directly (HR ¼ 1.59, 95% CI 1.40-1.79). Diabetes was also associated with significantly higher risk for hip fractures ( p < 0.001). Higher mortality from diabetes attenuated but did not eliminate the excess fracture risk. FRAX underestimated observed major osteoporotic and hip fracture risk in diabetics (adjusted for competing mortality) but demonstrated good concordance with observed fractures for nondiabetics. We conclude that diabetes confers an increased risk of fracture that is independent of FRAX derived with BMD. This suggests that diabetes might be considered for inclusion in future iterations of FRAX. ß

Background: There has been little investigation of fatigue, a common symptom in IBD. The