Web cookies (also called HTTP cookies, browser cookies, or simply cookies) are small pieces of data that websites store on your device (computer, phone, etc.) through your web browser. They are used to remember information about you and your interactions with the site.
Purpose of Cookies:
Session Management:
Keeping you logged in
Remembering items in a shopping cart
Saving language or theme preferences
Personalization:
Tailoring content or ads based on your previous activity
Tracking & Analytics:
Monitoring browsing behavior for analytics or marketing purposes
Types of Cookies:
Session Cookies:
Temporary; deleted when you close your browser
Used for things like keeping you logged in during a single session
Persistent Cookies:
Stored on your device until they expire or are manually deleted
Used for remembering login credentials, settings, etc.
First-Party Cookies:
Set by the website you're visiting directly
Third-Party Cookies:
Set by other domains (usually advertisers) embedded in the website
Commonly used for tracking across multiple sites
Authentication cookies are a special type of web cookie used to identify and verify a user after they log in to a website or web application.
What They Do:
Once you log in to a site, the server creates an authentication cookie and sends it to your browser. This cookie:
Proves to the website that you're logged in
Prevents you from having to log in again on every page you visit
Can persist across sessions if you select "Remember me"
What's Inside an Authentication Cookie?
Typically, it contains:
A unique session ID (not your actual password)
Optional metadata (e.g., expiration time, security flags)
Analytics cookies are cookies used to collect data about how visitors interact with a website. Their primary purpose is to help website owners understand and improve user experience by analyzing things like:
How users navigate the site
Which pages are most/least visited
How long users stay on each page
What device, browser, or location the user is from
What They Track:
Some examples of data analytics cookies may collect:
Page views and time spent on pages
Click paths (how users move from page to page)
Bounce rate (users who leave without interacting)
User demographics (location, language, device)
Referring websites (how users arrived at the site)
Here’s how you can disable cookies in common browsers:
1. Google Chrome
Open Chrome and click the three vertical dots in the top-right corner.
Go to Settings > Privacy and security > Cookies and other site data.
Choose your preferred option:
Block all cookies (not recommended, can break most websites).
Block third-party cookies (can block ads and tracking cookies).
2. Mozilla Firefox
Open Firefox and click the three horizontal lines in the top-right corner.
Go to Settings > Privacy & Security.
Under the Enhanced Tracking Protection section, choose Strict to block most cookies or Custom to manually choose which cookies to block.
3. Safari
Open Safari and click Safari in the top-left corner of the screen.
Go to Preferences > Privacy.
Check Block all cookies to stop all cookies, or select options to block third-party cookies.
4. Microsoft Edge
Open Edge and click the three horizontal dots in the top-right corner.
Go to Settings > Privacy, search, and services > Cookies and site permissions.
Select your cookie settings from there, including blocking all cookies or blocking third-party cookies.
5. On Mobile (iOS/Android)
For Safari on iOS: Go to Settings > Safari > Privacy & Security > Block All Cookies.
For Chrome on Android: Open the app, tap the three dots, go to Settings > Privacy and security > Cookies.
Be Aware:
Disabling cookies can make your online experience more difficult. Some websites may not load properly, or you may be logged out frequently. Also, certain features may not work as expected.
Hello. Welcome to the P3-EX Evaluation Survey Study.
Please click the blue bar at the bottom of this page to go to the eligibility screening.
What is P3-EX?
The Prioritize Personalize and Prescribe Exercise (P3-EX) algorithm is an evidence-based clinical decision support system developed by Dr. Linda Pescatello and her research team at the University of Connecticut and Hartford Hospital. The purpose of the P3-EX algorithm is to provide clinicians with an easy-to-use tool that they can use to prescribe exercise to their patients with one or more cardiovascular disease risk factors.
What is the purpose of the study?
The purpose of this study is to collect your feedback on the P3-EX algorithm in terms of its acceptability and functionality of the P3-EX algorithm.
The following are introductions of the P3-EX team members.
Dr. Pescatello (Principal Investigator) is a Distinguished Professor in the Department of Kinesiology, University of Connecticut (UConn), Storrs. In 2015, she developed and is the instructor of the UConn online exercise prescription certificate program, ExRx@UConn. She invented the P3-EX algorithm while teaching this program to prescribe exercise for adults with multiple cardiovascular disease risk factors. She is a Senior Editor of the ninth edition of the American College of Sports Medicine’s Guidelines for Exercise Testing and Prescription. She is also one of the 16 scientists in the advisory committee of the second edition of Physical Activity Guidelines for Americans.
Dr. Pescatello is the founder of P3-EX LLC. P3-EX LLC is a startup software company that Prioritizes Personalizes and Prescribes EXercise for adults with cardiovascular disease risk factors with the algorithm being evaluated in this study.
Shiqi (Study Coordinator) is a current master’s student in the Department of Kinesiology, UConn. He had a key role in designing the study website and coding of P3-EX algorithm. He is also working with Dr. Wu on the systematic review of health and fitness applications on Apple Store and Google Play to evaluate their content and functionality compared to the P3-EX algorithm.
Dr. Wu (Co-Investigator) is a postdoctoral fellow in the Department of Kinesiology, UConn. He is assisting with the design and implementation of this survey evaluation study and is leading a systematic review of health and fitness applications on Apple Store and Google Play to evaluate their content and functionality compared to the P3-EX algorithm.
Dr. Panza (Co-Investigator) is a Senior Scientist at Hartford Hospital. His work requires daily interaction with health care professionals as Hartford Hospital is an 867-bed referral center with over 1,280 active physicians. He also has personal training certifications from the American College of Sports Medicine and the National Academy of Sports Medicine. He is assisting with the design and implementation of this survey evaluation study.
Dr. Guidry (Co-Investigator) is a Medical Science Liaison at Servier Pharmaceuticals. She has 16 years of experience in the pharmaceutical industry working in the capacities of sales and management. Dr. Guidry is assisting with the design and implementation of this survey evaluation study.
