As the age of paternity rises in the developed world, issues of chronic disease may affect prospective fathers. Given the high prevalence of hypertension, researchers have begun to explore the relationship between hypertensive disease and male fertility. The current literature suggests an association between hypertension and semen quality. The use of various antihypertensive medications has also been linked to impaired semen parameters, making it difficult to discern whether the association exists with hypertension or its treatment. Further investigation is warranted to determine whether the observed associations are causal.

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Youth female hockey coaches have overall adequate knowledge of concussion; however, gaps in knowledge do exist. Future efforts to raise the concussion knowledge among coaches of female youth hockey should include information specific to the mechanism of injury, along with sign and symptom identification, with particular attention paid to emotional symptoms. Given the reported preferences and the widespread availability of the Internet, further exploration and research validation of online courses and web sites tailored to the youth female hockey community is encouraged.

Randomized clinical trials are considered the preferred approach for comparing the effects of treatments, yet data from high-quality clinical trials are often unavailable and many clinical decisions are made on the basis of evidence from observational studies. Using clinical examples about the management of infertility, we discuss how we can use observational data from large and information-rich health-care databases combined with modern epidemiological and statistical methods to learn about the effects of interventions when clinical trial evidence is unavailable or not applicable to the clinically relevant target population. When trial evidence is unavailable, we can conduct observational analyses emulating the hypothetical pragmatic target trials that would address the clinical questions of interest. When trial evidence is available but not applicable to the clinically relevant target population, we can transport inferences from trial participants to the target population using the trial data and a sample of observational data from the target population. Clinical trial emulations and transportability analyses can be coupled with methods for examining heterogeneity of treatment effects, providing a path toward personalized medicine.