The information available from the below resources are summaries (aka includes information from of a lot of studies that may or may not include expert option) or written from a consumer health perspective. The below may be published peer reviewed articles (eg. a Cochrane systematic review), or a website with background information about a condition. Use these resources if you are looking for general information about a condition or intervention.
These are the best places to start looking for articles in Human Nutrition. You can also see our full list of Electronic Resources.
The below databases are multidisciplinary. This means they contain articles from many different disciplines such as medicine, nursing, social sciences, history, education and political science. If you're looking for articles for a question that is multidisciplinary - start your search here!
Look for the “Check for full text @ X” link next to each result. Use that link to get the full text via the Library’s subscriptions.
Link your Google account to StFX, so the “Check for full text @ X” links will always appear – even if you don’t start your search from this page. Go to our customized settings screen and click Save. If you’re logged into a Google account, it will remember that setting from now on.
There are a lot of new discovery tools and search engines coming up that are enhanced with AI and LLMs. Some of these tools are called Retrieval Augmented Generation (RAG). To learn more about RAG systems see this blog by Determind.ai
Below discovery tools you want to explore, with a warning that you will still need to critically evaluate the results (aka, does this paper seem legit?) and any guidance or summaries they are providing (the tool-generated text can be off from compared with the actual paper). So use the below with caution at this point.
See this guide by McGill Libraries for help evaluating AI enhanced resources.
For more information on Gen AI tools and literature reviews see this online guide.
