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AI Reveals What Keeps People Committed to Exercise – Neuroscience News

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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

Fitness

‘You only need 2 sessions a week to get stronger’ – expert PT reveals the benefits of the 2-2-2 workout for busy women

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‘You only need 2 sessions a week to get stronger’ – expert PT reveals the benefits of the 2-2-2 workout for busy women

The 2-2-2 workout is more than an internet trend. It’s a full-body, time-saving, and strength training workout that can be done in the gym or with dumbbells at home, any time. It sounds too good to be true, but it’s backed by science and an expert PT.

Alain Gonzalez popularised the workout most recently, but the longevity perks for women are clear. Strength training offers women benefits, like reducing the risk of osteoporosis, sarcopenia, and cardiovascular disease. It also improves mobility and balance. However, we’re often the most time-stretched people in the gym, so anything we can do to shorten the time we need to spend there is appreciated, especially during the busy festive season.

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13 Strength-Training Moves That Taylor Swift Used to Prep for the ‘Eras Tour’

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13 Strength-Training Moves That Taylor Swift Used to Prep for the ‘Eras Tour’

In “The End of an Era,” Taylor Swift gives fans a behind-the-scenes look at the workout routine that helped her prepare for her “Eras Tour.”

Episode 3 of the six-part Disney+ docuseries follows Swift as she hits the gym throughout the tour, which ran for nearly two years.

Since each show lasted over three hours, Swift enlisted the help of personal trainer Kirk Myers to help her focus on endurance so she could maintain her energy throughout each concert.

“There are a lot of things that we pulled off on this tour that I’ve never even attempted on past tours. I think the longest show I ever did before was 2 hours and 15 minutes,” she said during the episode. “I never would have believed you if you would have told me we would be doing a 3.5 hour show. Now, saying that is one thing. Doing that physically is another.”

In order to dance and sing for that long, the 36-year-old had to make certain lifestyle changes.

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“I really had to up my game in terms of physical training,” she said.

While reflecting on her workout routine, Swift joked that it wasn’t for the faint of heart. “I’ve never worked out this much in my life. It’s horrible,” she added.

Here are just a few of the exercises Swift focused on as part of her “Eras Tour” workout routine.

She Prioritized Strength Training

Episode 3 of the docuseries shows Swift in the gym prioritizing strength training. She can be seen doing the following moves:

  • Battle waves and wave slams
  • Ski machine
  • Resistance band-assisted pull-ups
  • Medicine ball sit-up throws
  • Overhead hammer slam
  • Assisted reverse crunch
  • Hanging knee raise
  • Medicine ball slams
  • Medicine ball Russian twists
  • Reformer plank pikes
  • Crossover crunch with ankle weights
  • Medicine ball side throws
  • Bosu ball squat and press

She Did Lots of Pull-Ups But Hated Them

Swift can be seen doing pull-ups assisted by a resistance band and revealed that she has a “strong dislike” for them.

“In no way do I ever apply this at any point in the show. I just want to flag that as I do every time I have to do pull-ups,” she quipped.

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Swift’s personal trainer encouraged her and said she’s gotten “stronger” throughout the years while performing the exercise.

“It’s from all the pent up rage and resentment I have for them,” she joked.

She Started Training 6 Months Before the Tour Began

While reflecting on her workout routine, Swift said she started planning for the tour early on.

“Six months ahead of my first rehearsal, (I was) running on the treadmill every single day at the tempo of the songs that I was playing while singing them out loud,” she said. “You just don’t want them to see you panting.”

Swift previously spoke about her intense treadmill workout in an interview with Time.

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“Every day I would run on the treadmill, singing the entire set list out loud,” she told Time. “Fast for fast songs, and a jog or a fast walk for slow songs.”

She Did a LOT of Cardio

Dancing and singing for over three hours is a killer workout, especially when you’re running around the stage all night long. In the docuseries, Swift noted that two of her songs are particularly difficult to perform.

“‘1989’ and ‘Reputation’ are very high cardio. Anything’s hard when you’re scaling a stage that goes the entire length of an NFL stadium,” she said. “I think I run like 8 miles in the show.”

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5 top-rated exercise bikes for home to stay active, burn calories, and boost fitness in 2026

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5 top-rated exercise bikes for home to stay active, burn calories, and boost fitness in 2026

We are inching towards the end of 2025, and it’s time for New Year fitness resolutions. Staying active during the year-end can be tough. Cold weather, holiday celebrations, and packed schedules often push workouts to the back, leaving many feeling sluggish or stressed. But you don’t have to wait for the new year to get moving. An exercise bike offers a simple, no-excuses solution, bringing effective workouts right into your home. It eliminates travel, weather, and time barriers, making it easy to stay consistent.

No gym. No excuses. End the year fitter with a home exercise bike. (Adobe Stock)

Beyond convenience, cycling is a low-impact exercise that improves cardiovascular health, boosts mood through the release of endorphins, and helps manage holiday weight without straining the joints. Even short, daily rides can maintain energy, strengthen the heart, and support overall wellness, helping you finish the year fitter, healthier, and more active.

Why choose an exercise bike?

Exercise bikes offer a low-impact cardio that works. Here are some key reasons why an exercise bike may be better than doing no exercise at all!

Joint-friendly cardio

A report by the Scandinavian Journal of Rehabilitation Medicine Supplement states that cycling delivers an effective cardiovascular workout without the high-impact stress on knees and joints that comes with running, making it ideal for year-round use.

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Metabolic boost

Regular pedalling helps keep your metabolism active, supporting calorie burn even on lighter or rest days. Consistent cycling can help maintain an energy balance and assist in managing holiday weight gain.

Mental clarity

Beyond physical benefits, cycling serves as a form of active recovery. A short ride after a long day can help reduce stress, improve focus, and boost your mood, thanks to the release of endorphins and gentle movement that relaxes both your body and mind, reports Health Shots.

Helps you keep lifestyle diseases at bay

According to a study published in the journal PLOS Medicine, cycling can help prevent diseases like heart attacks, hypertension, and type 2 diabetes, which stem from living a sedentary lifestyle. If practised regularly, cycling can even help you manage or control pre-existing lifestyle diseases as well.

5 top-rated exercise bikes for home to stay active

If low-impact, joint-friendly workouts are your goal, HT Shop Now has shortlisted 5 exercise bikes for home based on user ratings, reviews, and overall feedback. Ideal for beginners or those returning to fitness, they support knee-friendly cardio, help maintain stamina, and make home workouts convenient and effective.

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The Sparnod SAB-05 Air Bike Exercise Cycle is perfect for a full-body, low-impact workout at home. Its dual-action arms and legs provide simultaneous upper and lower body engagement, while adjustable resistance allows beginners and advanced users to tailor the intensity. Ideal for anyone looking to boost stamina, burn calories, or rehabilitate joints safely, the back support provides added comfort for longer sessions.

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The PowerMax Fitness BU‑201 Dual Action Air Bike stands out with its adjustable cushioned seat and moving handles, making it comfortable and versatile for users of different heights. The dual action design engages both upper and lower body for a more effective workout. Non‑slip pedals ensure secure footing, while adjustable resistance lets you tailor intensity. Ideal for home workouts, it supports up to 120 kg and enhances overall cardiovascular fitness.

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Looking for an exercise bike that keeps you motivated? The Lifelong Fit Pro Spin Fitness Bike features a clear LED display, a smooth 7 kg flywheel, and adjustable resistance, allowing for fully customizable cardio workouts. Its cushioned, adjustable seat and non-slip pedals ensure comfort and stability, while supporting up to 120 kg. Perfect for home workouts, it helps track progress, burn calories, and stay consistent with daily fitness goals.

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Looking for a cardio machine that’s easy on your joints? The Reach AB 110 Upright Air Bike provides a smooth, low-impact workout with adjustable resistance and both moving and stationary handles, offering varied exercise options. Its cushioned seat adds comfort for longer sessions, and the design minimises knee and joint strain. Ideal for home gym cardio, it supports up to 110 kg and helps you stay active safely.

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Many users love the Cardio Max JSB HF175 Exercise Cycle for its ease of use and versatility in home workouts. The dual-action design allows you to work both your upper and lower body, while adjustable height and resistance make it suitable for all fitness levels. Easy DIY installation means you can start exercising quickly. Its sturdy build and smooth motion help users enjoy low-impact cardio sessions without straining their joints.

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