No matter what kind of cold ails them - navigating the cold and flu aisle a major annoyance for Canadians
TORONTO, Jan. 14, 2013 /CNW/ - Every year, more than seven million Canadians are struck with the common cold (that's a lot of tissue!) and when we're feeling bogged down by a cold, having to manage the cold medication aisle in the drugstore can be daunting. In fact, according to new research, one in three Canadians (31 per cent) admits they would rather spend a weekend with their in-laws than navigate the cold and flu aisle.i The problem is, there are almost too many options available when it comes to treating the common cold.
"Colds are often unavoidable in the winter months, but the key to finding relief is knowing that not all colds are created equal," says Dr. Jeff Habert, Toronto-based family physician. "The first step to getting back on your feet is figuring out what type of cold you have. The good news is, once you do, there are many solutions available."
On January 21st and 22nd, speak with Dr. Jeff Habert and learn about everything you need to know about the common cold, including:
- The Anatomy of a Cold - What really happens when you have a cold and where does the pressure come from? How do you know what type of cold you have? Dr. Habert explains - from sinus colds to chest colds - how they differ and how to treat their nagging symptoms.
- Cold Hard Facts - From the tried and true (was grandma right all along about chicken soup?) to some preposterous home remedies (think - soaking your socks in cold water before putting them on to relieve a cough), Dr. Habert sets the record straight on myths and legends in treating the common cold
- He Said / She Said - New research that sheds light on how men and women differ when it comes to how they deal with colds (find out who said who complains more about being sick with a cold. The answer may surprise you!)
i Leger Omnibus Poll [A survey of 1504 Canadians was completed online between October 9th, and October 11th, 2012 using Leger Marketing's online panel, LegerWeb. A probability sample of the same size would yield a margin of error of +/- 2.5%, 19 times out of 20.] p. 17
SOURCE: Pfizer Consumer Healthcare
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