Summary: When people with a sedentary lifestyle socially interact with those who embark on moderate physical activity, the sedentary people become more active in the long term.
A newly developed mathematical model incorporates the influence of social interactions on community exercise trends, suggesting that interacting with moderately active people could influence sedentary people to become more active.
Ensela Mema of Kean University in Union, New Jersey, and colleagues present these findings in the open-access journal PLOS ONE on October 19, 2022.
In 2018, the U.S. Department of Health and Human Services published evidence-based guidelines outlining recommended types and amounts of physical activity to promote health benefits for different populations of Americans.
However, national population-level trends suggest that there has been little improvement in meeting these recommendations.
To help address this issue, Mema and colleagues drew on previous research showing that social interactions with peers can play a key role in boosting physical activity within a community.
In line with that knowledge, they developed a mathematical model that simulates how social interactions can affect a population’s exercise trends over time. The model incorporates data from the U.S. Military Academy.
The model simulations showed that, in the absence of social interactions, populations experienced a long-term decrease in physically active individuals, and sedentary behavior began to dominate.
However, when the simulations included social interactions between sedentary and moderately active people, sedentary populations became more physically active in the long term.
Still, in simulations where moderately active people became more sedentary over time, overall physical activity trends plummeted.
While these simulations were not validated with real-world data, the researchers say they provide new insights that could inform public health efforts to boost community physical activity levels.
The researchers outline a number of recommendations for such efforts, such as social activities designed to boost interactions between sedentary and moderately active people.
These simulations could also inform efforts to maintain physical fitness in the U.S. military, the researchers note. However, they say, more research will be needed to better understand the balance between encouraging exercise among sedentary people while retaining activity levels in moderately active people.
The authors add: “We have traditionally directed physical activity interventions by engaging sedentary individuals to become more active. Our model suggests that focusing on the moderately active population to sustain their activity and increasing their interactions with sedentary people could stimulate higher levels of overall physical activity in the population.”
Funding: DMT was funded by the National Institutes of Health Grant Number U54TR004279. JOH and DS were funded by the National Institutes of Health Grant Number P30DK056336 CKM was funded by the National Institutes of Health awards: P30DK072476, U54 GM104940 ADB was funded by the National Institutes of Health awards, OT2OD026552, UG1HD107711, U19AI14418, UO1 CA196406 The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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Author: Hanna Abdallah Source: PLOS Contact: Hanna Abdallah – PLOS Image: The image is in the public domain
Social influences on physical activity for establishing criteria leading to exercise persistence
Despite well-documented health benefits from exercise, a study on national trends in achieving the recommended minutes of physical activity guidelines has not improved since the guidelines were published in 2008.
Peer interactions have been identified as a critical factor for increasing a population’s physical activity.
The objective of this study is for establishing criteria for social influences on physical activity for establishing criteria that lead to exercise persistence.
A system of differential equations was developed that projects exercise trends over time. The system includes both social and non-social influences that impact changes in physical activity habits and establishes quantitative conditions that delineate population-wide persistence habits from domination of sedentary behavior. The model was generally designed with parameter values that can be estimated to data.
Complete absence of social or peer influences resulted in long-term dominance of sedentary behavior and a decline of physically active populations. Social interactions between sedentary and moderately active populations were the most important social parameter that influenced low active populations to become and remain physically active.
On the other hand, social interactions encouraging moderately active individuals to become sedentary drove exercise persistence to extinction. Communities should focus on increasing social interactions between sedentary and moderately active individuals to draw sedentary populations to become more active.
Additionally, reducing opportunities for moderately active individuals to engage with sedentary individuals through sedentary social activities should be addressed.