- Setting your own exercise goals and pursuing them immediately, could help result in long-lasting changes, according to a new study.
- The study compared two groups given step counters.
- The findings suggest that a simple approach could be more beneficial to individuals, rather than following set health programs.
When people set their own exercise goals and then pursue them immediately, it’s more likely to result in positive lasting changes, according to a new study.
The researchers made their findings among an underserved population at particularly high risk of having or developing heart conditions, making the work especially important.
“Most behavior change programs involve goal-setting, but the best way to design that process is unknown,” says lead author Mitesh Patel, an associate professor of medicine at the University of Pennsylvania and vice president for Clinical Transformation at Ascension.
“Our clinical trial demonstrated that physical activity increased the most when patients chose their goals rather than being assigned them, and when the goals started immediately rather than starting lower and gradually increasing over time. These findings are particularly important because the patients were from lower-income neighborhoods and may face a number of challenges in achieving health goals.”
Who sets exercise goals matters
The study in JAMA Cardiology consisted of 500 patients from low-income neighborhoods, mainly in West Philadelphia but also elsewhere in and outside of the city. Participants either had a cardiovascular disease or were assessed to have a near-10% risk of developing one within a decade. These high-risk patients stood to greatly gain from increased physical activity.
Patel’s previous work at the Penn Medicine Nudge Unit often focused on the use of gamification, a concept used to create behavioral change by turning it into a game. The work usually tested whether playing a game attached to physical activity goals could make significant increases against not playing a game, or between different versions of a game.
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As with past studies, every participant was given a wearable step tracker that recorded their daily step counts through Penn’s Way to Health platform. But what set this study apart from many of its predecessors was that the main outcomes of the research were less about participation in the games themselves and more about how exercise goals were established, as well as when participants were encouraged to pursue them.
Once every participant got their wearable step counter, they were given a week or two to get used to it. This time period also functioned as a baseline-setting period for everyone’s pre-intervention daily step count. After that, researchers randomly assigned participants to the control group, which didn’t have step goals or games attached, or one of the gaming groups with goals.
Those in the gamified group also went through two other sets of random assignments. One determined whether they’d have input on their step goal, or whether they’d just be assigned a standard one. The second decided whether each participant would immediately start working toward their goals (for the entire 16-week intervention), or whether they’d ramp up to it, with minor increases in goals, until the full goals kicked in at week nine.
After analyzing the results, the researchers saw that the only group of participants who achieved significant increases in activity were those who chose their own exercise goals and started immediately. They had the highest average increase in their steps compared to the group with no goals, roughly 1,384 steps per day. And, in addition to raw step counts, the study also measured periods of sustained, high activity, amounting to an average increase of 4.1 minutes daily.
Comparatively, those who were assigned their goals or had full goals delayed for half the intervention only increased their daily steps above the control group’s average by between 500 and 600 steps.
“Individuals who select their own goals are more likely to be intrinsically motivated to follow through on them,” says Kevin Volpp, director of the Center for Health Incentives and Behavioral Economics. “They feel like the goal is theirs and this likely enables greater engagement.”
The study didn’t end when the researchers turned the games off. Participants kept their activity trackers, and in the eight weeks following the intervention, the group that chose their goals and started immediately kept up their progress. In fact, they achieved almost the exact same average in steps—just three less than during the active games.
“It is exciting to see that the group that increased their activity levels by the most steps maintained those levels during follow-up,” Patel says. “This indicates that gamification with self-chosen and immediate goals helped these patients form a new habit.”
Many programs, whether offered through work or by health insurance companies, offer incentives for boosts in physical activity. But these goals are often fairly static and assigned based on round numbers.
Patel, Volpp, and colleagues believe this research suggests that adjusting goal setting in these programs can have a significant impact. And if these adjustments lead to gains among people with lower incomes, whom cardiovascular disease kill at 76% higher rates, that could be particularly important.
How is the World Economic Forum bringing data-driven healthcare to life?
The application of “precision medicine” to save and improve lives relies on good-quality, easily-accessible data on everything from our DNA to lifestyle and environmental factors. The opposite to a one-size-fits-all healthcare system, it has vast, untapped potential to transform the treatment and prediction of rare diseases—and disease in general.
But there is no global governance framework for such data and no common data portal. This is a problem that contributes to the premature deaths of hundreds of millions of rare-disease patients worldwide.
The World Economic Forum’s Breaking Barriers to Health Data Governance initiative is focused on creating, testing and growing a framework to support effective and responsible access – across borders – to sensitive health data for the treatment and diagnosis of rare diseases.
The data will be shared via a “federated data system”: a decentralized approach that allows different institutions to access each other’s data without that data ever leaving the organization it originated from. This is done via an application programming interface and strikes a balance between simply pooling data (posing security concerns) and limiting access completely.
The project is a collaboration between entities in the UK (Genomics England), Australia (Australian Genomics Health Alliance), Canada (Genomics4RD), and the US (Intermountain Healthcare).
“Goal-setting is a fundamental element of almost every physical activity program, whether through a smartphone app or in a workplace wellness program,” Volpp says. “Our findings reveal a simple approach that could be used to improve the impact of these programs and the health of their patients.”