Connect with us

Fitness

AI Reveals What Keeps People Committed to Exercise – Neuroscience News

Published

on

AI Reveals What Keeps People Committed to Exercise – Neuroscience News

Summary: A new study has used machine learning to identify the key predictors of physical activity adherence, analyzing data from nearly 12,000 individuals. The research found that time spent sitting, gender, and education level were the strongest indicators of whether someone met weekly exercise guidelines.

By training models on lifestyle, demographic, and health survey data, researchers could predict exercise habits more flexibly than traditional approaches. These insights could inform more effective fitness recommendations and public health strategies tailored to individual needs.

Key Facts:

  • Top Predictors: Sedentary time, gender, and education level were the most consistent predictors of exercise adherence.
  • Study Scope: Researchers used machine learning on data from 11,683 participants in a national health survey.
  • Potential Impact: Findings could improve personalized workout plans and inform health policy.

Source: University of Mississippi

Sticking to an exercise routine is a challenge many people face. But a University of Mississippi research team is using machine learning to uncover what keeps individuals committed to their workouts.

The team – Seungbak Lee and Ju-Pil Choe, both doctoral students in physical education, and Minsoo Kang, professor of sport analytics in the Department of Health, Exercise Science and Recreation Management – hopes to predict whether a person is meeting physical activity guidelines based on their body measurements, demographics and lifestyle.

Advertisement
Machine learning doesn’t have those limits, so it can find patterns with greater flexibility. Credit: Neuroscience News

They have examined data from about 30,000 surveys. To quickly sort through such a huge data set, they’ve turned to machine learning, a way of using computers to identify patterns and make predictions based on the information.

The group’s results, published in the Nature Portfolio journal Scientific Reports are timely, Kang said

“Physical activity adherence to the guidelines is a public health concern because of its relationship to disease prevention and overall health patterns,” he said.

“We wanted to use advanced data analytic techniques, like machine learning, to predict this behavior.”

The Office of Disease Prevention and Health Promotion, part of the U.S. Department of Health and Human Services, suggests that adults should aim for at least 150 minutes of moderate exercise, or 75 minutes of vigorous exercise, each week as part of a healthy lifestyle.

Advertisement

Research shows that the average American spends just two hours per week on physical activity – half of the four hours recommended by the Centers for Disease Control and Prevention.

Lee, Choe and Kang used public data from the National Health and Nutrition Examination Survey, a government-sponsored survey, covering 2009-18.

“We aimed to use machine learning to predict whether people follow physical activity guidelines based on questionnaire data, and find the best combination of variables for accurate predictions,” said Choe, the study’s lead author.

“Demographic variables such as gender, age, race, educational status, marital status and income, along with anthropometric measures like BMI and waist circumference, were considered.”

The researchers also considered lifestyle factors including alcohol consumption, smoking, employment, sleep patterns and sedentary behavior to understand their impact on a person’s physical activity, he said.

Advertisement

The results showed that three key factors – how much time someone spends sitting, their gender, and their education level – showed up consistently in all the top-performing models that predict exercise habits, even though each model identified different variables as important.

 According to Choe, these factors are especially important for understanding who is more likely to stay active and socially connected, and they could help guide future health recommendations.

“I expected that factors like gender, BMI, race or age would be important for our prediction model, but I was surprised by how significant educational status was,” he said. “While factors like gender, BMI and age are more innate to the body, educational status is an external factor.”

During the analysis, the researchers excluded data from people with certain diseases and responses missing physical activity data. That culled the relevant data to 11,683 participants.

The researchers say machine learning gives them more freedom to study the data. Older methods expect things to follow a straight-line pattern, and they don’t work well when some pieces of information are too similar.

Advertisement

Machine learning doesn’t have those limits, so it can find patterns with greater flexibility.

“One limitation of our study was using subjectively measured physical activity data, where participants recalled their activity from memory,” Choe said.

“People tend to overestimate their physical activity when using questionnaires, so more accurate, objective data would improve the study’s reliability.”

Because of this, the researchers say they could use a similar method for future research in this area, but explore different factors, including dietary supplements use, using more machine learning algorithms or relying on objective data instead of self-reported information.

That could help trainers and fitness consultants produce workout regimens that people can actually stick with for the long haul.

Advertisement

About this AI and exercise research news

Author: Clara Turnage
Source: University of Mississippi
Contact: Clara Turnage – University of Mississippi
Image: The image is credited to Neuroscience News

Original Research: Open access.
“Machine learning modeling for predicting adherence to physical activity guideline” by Seungbak Lee et al. Scientific Reports


Abstract

Machine learning modeling for predicting adherence to physical activity guideline

This study aims to create predictive models for PA guidelines by using ML and examine the critical determinants influencing adherence to the PA guidelines. 11,638 entries from the National Health and Nutrition Examination Survey were analyzed.

Advertisement

Variables were categorized into demographic, anthropometric, and lifestyle categories. 18 prediction models were created by 6 ML algorithms and evaluated via accuracy, F1 score, and area under the curve (AUC).

Additionally, we employed permutation feature importance (PFI) to assess the variable significance in each model.

The decision tree using all variables emerged as the most effective method in the prediction for PA guidelines (accuracy = 0.705, F1 score = 0.819, and AUC = 0.542).

Based on the PFI, sedentary behavior, age, gender, and educational status were the most important variables.

These results highlight the possibilities of using data-driven methods with ML in PA research.

Advertisement

Our analysis also identified crucial variables, providing valuable insights for targeted interventions aimed at enhancing individuals’ adherence to PA guidelines.

Fitness

Reward yourself by exercising regularly at One to One Fitness | CWRU Newsroom | Case Western Reserve University

Published

on

Reward yourself by exercising regularly at One to One Fitness | CWRU Newsroom | Case Western Reserve University

Now is the time to recommit to your health in time to feel your best for all your summer activities! One to One Fitness Center offers several ways to save in March.

Members of the Case Western Reserve University community can take advantage of sign-up specials designed to reward themselves for creating healthy habits.

Individuals can get 50% off the initiation fee (regularly $50 plus tax) and earn back what they do pay by exercising eight or more days in both April and May. Learn more online about this deal on initiation fees.

Students also can get additional savings:

  • Graduate students who are enrolled for the spring semester receive summer membership free.
  • With Spartan Shape Up memberships, affiliate students pay just $40 per month for membership from now through May, and no initiation fee or security deposit is required.
  • Students also can pay $44 plus tax per month with a month-to-month, ongoing plan. No initiation fee or security deposit required.

One to One Fitness Center, owned and operated by CWRU, is known for offering personal, professional, friendly and clean services. Memberships include full access to the 28,000-square-foot fitness center, group exercise classes, validated parking in Lot 53, towel and locker service, and member discounts on programs and services.

Members also can add their spouse or partner to their account for $30 plus tax per month. The center also offers personal training, Pilates Reformer, massage therapy and sound bath therapy, swim lessons, and more.

Advertisement

Visit the One to One Fitness Center website, email onetoone@case.edu or call 216.368.1121 for more information.

Continue Reading

Fitness

A 3-Step Plan to Give Your Diet, Fitness Routine and Mindset a Reset for Spring

Published

on

A 3-Step Plan to Give Your Diet, Fitness Routine and Mindset a Reset for Spring

To help you do this, we’ve tapped our Start TODAY experts for simple tips to lighten up meals, move in ways that boost metabolism and and refocus our mindset to get motivated to keep working toward your goals. Apply their strategies and finish the month feeling lighter, more energized and motivated to move forward. Here’s the plan to make it happen:

>>Download the 31-day calendar here

31-Day HIIT & Walking Challenge

This month’s workout plan is focused on short workouts that pack a punch. “HIIT workouts give you a bigger bang for your workout buck! They provide a more efficient workout because you’re alternating the pace and intensity rather than sticking to a steady, moderate pace,” says Mansour. “Changing things up with HIIT prevents boredom and keeps your muscles guessing. This is how we can get the body to change — whether that change is speeding up your metabolism, burning more calories, building muscle, losing weight, or just improving overall health — keeping your body guessing is the magic ticket to seeing results!”

Active recovery days include stretching to improve flexibility and walking for a cardiovascular workout that aids muscle recovery. When weather permits, Mansour encourages people to get outside on walking days. “Walking outdoors isn’t just a workout, it’s a chance to breathe in fresh air and get out of the house to change your environment,” she says. “Each time you go outside on a walk, even if you go on the same path, you’ll see or feel something different. Maybe it’s a change in weather, plants or flowers, people or things. Prioritizing taking your walk outside can hugely benefit your mental health. Getting out of your regular environment and into nature can be a form of meditation, too.”

Get the full 31-day workout plan with unique workouts sent to you daily — plus, walking podcasts, healthy spring recipes and mindfulness tools — in the Start TODAY app!

Advertisement
Start TODAY Spring Asparagus Pasta recipe
Lighten up comfort food favorites by adding seasonal ingredients, like in this Spring Asparagus Pasta.

3 Simple Spring Diet Tips

In addition to mixing up your workout routine, use spring as an opportunity to start lightening up your meals by packing them with seasonal ingredients. Start TODAY dietitian Natalie Rizzo shares her top tips:

  1. Incorporate more seasonal foods. After a long winter of eating the same foods, your palate is ready for a change! Aim to add at least one spring fruit or vegetable to your meals each day, like asparagus, peas, spinach, radishes, citrus or strawberries. This Spring Asparagus Pasta is a simple weeknight dinner that feels both light and comforting. Seasonal produce is fresher, more flavorful, and an easy way to naturally boost vitamins and fiber. Plus, seasonal produce is more affordable than other items in the produce section.
  2. Use fresh herbs to brighten up your dishes. Fresh herbs like basil, cilantro, parsley, mint, or dill can instantly upgrade simple meals without extra salt or heavy sauces. Sprinkle them on salads, roasted veggies, eggs, soups, or grain bowls for a burst of spring flavor. Cilantro is the perfect finish to this Mexican Stuffed Sweet Potato, while herbs are blended into cottage cheese in this Herby Cottage Cheese Toast with Tomato recipe for a pop of fresh flavor.
  3. Shift from heavy comfort meals to balanced plates. As the weather warms up, it’s time to move away from heavy comfort foods and embrace lightened up spring dishes. Build plates with a mix of lean protein, whole grains or starchy veggies, and plenty of colorful produce. Think roasted veggie grain bowls, hearty salads like this BBQ Chicken Quinoa Salad, or simple stir-fries instead of creamy casseroles or heavy stews.
Start TODAY Mexican Stuffed Sweet Potato
A sprinkle of fresh cilantro is the perfect finish to this Mexican Stuffed Sweet Potato.

Spring Clean Your Mindset with This Mental Health Exercise

Yes, we are working to propel ourselves forward toward our health goals, but an important part of that process is slowing down and reflecting.

Getting permission not to rush in a world that feels like it’s moving faster than we can keep up is a reminder that most of us need.

Yasmine Cheyenne, start TODAY mindfulness expert

“Getting permission not to rush in a world that feels like it’s moving faster than we can keep up is a reminder that most of us need, but how often would we admit that?” says Cheyenne. “ When the to-do list feels long, and we’re trying to get everything done, we often say the opposite, disregarding how we feel, and push ourselves. Yes, we all have deadlines and things that need to be done. But we also need the reminder to take care while handling our responsibilities.”

This can be easier said than done. So Cheyenne offers up a simple exercise to help: Write down the words you need to hear each day to make yourself a priority and work toward your goals. Put them somewhere you see often, like your fridge or bathroom mirror, and recite them out loud daily.

“This is a perfect example of a reminder that seems small, but can come at the perfect time and help us care for ourselves,” she explains. “One of my favorite examples is: Take it slow and don’t rush, your nervous system deserves peace.”

Advertisement

“When you tell yourself the thing you’ve been needing to hear, it allows you to admit the quiet rumbling within you and take the steps you need. It might be admitting ‘I’m tired and will give myself an early night this week.’ Or you’re saying ‘I’m so proud of the way I’ve committed to moving my body everyday.’ Whether you’re cheering yourself on or reminding yourself of what you need, we don’t always slow down enough to hear what we need from ourselves, and this practice is a great way to start.”

Talking out loud to yourself may feel strange at first, but Cheyenne says over time it will help shift your mindset and translate those words into action. “When we hear ourselves recite these words, it’s like we’re planting positive seeds within us. The more we say what we need, the more we remember it, and we’re more likely to follow through and care for ourselves,” she says. “Our actions really start with the words we say to ourselves. Reading them out loud helps us rewire the way we talk to ourselves and that inner shift is exactly what opens the door to transformation.”

Join our live “Spring Reset Workshop” on March 22 to get one-on-one coaching from Yasmine Cheyenne and connect with other Start TODAY members. Sign up here!

Continue Reading

Fitness

Exercise scientist says ‘eating more’ is key to losing weight in perimenopause – here’s why

Published

on

Exercise scientist says ‘eating more’ is key to losing weight in perimenopause – here’s why

If you’ve ever wanted to lose weight, you’ve probably heard the phrase ‘calories in versus calories out’. While it’s true to a degree, losing weight in menopause isn’t about eating less, but rather eating differently.

Speaking to fitness coach Loretta Hogg, Dr Stacy Sims says: “One of the first things that women often do, because we grew up in an era of calories in, calories out, less calories means fat loss. That is not true because if you are not eating enough, your body holds on to fat.”

Continue Reading

Trending