Love Your Heart,
Love Your Community.
Hello and welcome.
Love Your Heart ? Love Your Community ? Help shape its future!
We are looking for community members (citizen scientists) across Tasmania to join our new research testing a simple Checklist that rates how walkable (and wheelable), welcoming and healthy your neighbourhood is.
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Your insights = real impact on local planning and design in the future.
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Open to people, 18+, living in urban, regional and suburban Tasmania.
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Get involved. Have your say. Make a difference.
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Citizen Science in action
The research is being led by the Menzies Institute of Medical Research (University of Tasmania) and is funded by the National Heart Foundation of Australia. By joining the Love Your Heart, Love Your Community study, your insights will help us improve the Checklist and gather local data to inform local council planning for healthier streets.
This survey is now closed.
It's as simple as 3 steps. Once you have completed the steps, we will send you a $20 gift card* - our way to say thanks.
* Gift cards will be given to the first 100 Tasmanians to complete the 3 steps.
Step 1
Tell us about yourself
You will complete a consent form and then a short survey.
Step 2
Take a walk
We will email you with a link to the new Heart Foundation Checklist, you take a walk and/or wheel and rate your area.
Step 3
Give us feedback
Complete a short survey about the checklist - what was your experience, what do you think about it ?
Why is the environment in our neighbourhoods and suburbs so important?
The environments where people live, learn, work, play and age are important influences on healthy eating and physical activity. More walkable and wheelable environments support more active lifestyles and along with ready access to healthy foods. This decreases the risk of developing health conditions like heart disease, type 2 diabetes and high blood pressure. This is particularly important in Tasmania where physical activity levels are generally low, poor health is more common and access to healthy food is less predictable.