Using a larger dataset than for any previous human movement study, National Institutes of Health-funded researchers at Stanford University in Palo Alto, California, have tracked physical activity by population for more than 100 countries. Their research follows on a recent estimate that more than 5 million people die each year from causes associated with inactivity.
The large-scale study of daily step data from anonymous smartphone users dials in on how countries, genders, and community types fare in terms of physical activity and what results may mean for intervention efforts around physical activity and obesity. The study was published this week online in the journal Nature.
Almost three quarters of adults in developed countries and half of adults in developing economies carry a smartphone. The devices are equipped with tiny accelerometers, a computer chip that maintains the orientation of the screen, and can also automatically record stepping motions. The users whose data contributed to this study subscribed to the Azumio Argus app, a free application for tracking physical activity and other health behaviors.
In their study, researchers analyzed 68 million days of minute-by-minute step recordings from 717,527 anonymous users of the smartphone app. Participation spanned 111 countries, but the researchers focused their study on 46 countries, each with at least 1,000 users. Of those, 90 percent of users were from 32 high income countries and 10 percent were from 14 middle income countries. The Stanford Mobilize Center is an NIH Big Data 2 Knowledge Center of Excellence.
The study also accessed age, gender, and height and weight status of users who registered the smartphone app. They used the same calculation that economists use for income inequality — called the Gini index — to calculate activity inequality by country.
“These results reveal how much of a population is activity-rich, and how much of a population is activity-poor,” Delp said. “In regions with high activity inequality there are many people who are activity poor, and activity inequality is a strong predictor of health outcomes.”
Globally, the average user recorded about 5,000 steps per day. The smartphone data reflected the degree of difference, or inequality, for activity among people within a given country. By comparing countries with more uniform activity patterns and those with unequal activity, certain patterns and health dynamics emerged. For instance, countries with the greatest activity inequality are also the countries with the greatest obesity problem. Individuals in the five countries with the greatest activity inequality are nearly 200 percent more likely to be obese than individuals from the five countries with the lowest activity inequality.
The average activity — measured in steps counted by smartphone accelerometer — is equivalent for people in the United States and Mexico, for example. But individuals in the United States reflect a wider range of activity levels than those in Mexico. This wider gap between active and sedentary people corresponds with higher prevalence of obesity in the United States overall.
The authors suggest that this inequality is an important target for obesity intervention. Using a computer simulation, they showed that targeted interventions could result in up to a four times greater reduction in obesity than non-targeted approaches.
The researchers report that countries with greater activity variation also have a larger proportion of inactive women. They found that in countries where activity is more uniform among members of the population, such as Japan, males and females are similarly active. But in countries with greater activity disparity, such as Saudi Arabia and the United States, there is disproportionately reduced activity for females. In fact, the gender gap accounts for 43 percent of activity inequality in those countries, according to the authors. They also found that the prevalence for obesity increases faster for females than males as population-wide activity decreases.
The researchers investigated the idea that making improvements in a city’s walkability — creating an environment that is safe and enjoyable to walk — could reduce activity inequality and the activity gender gap.
Higher walkability is associated with significantly more daily steps across all age, gender, and body-mass-index categories. However, the researchers found that women recorded comparatively less activity than men in places that are less walkable.
The study exemplifies how smartphones can deliver new insights about key health behaviors, including what the authors categorize as the global pandemic of physical inactivity.
The study was supported in part by NIH grants from NIBIB for Stanford’s BD2K Mobilize Center and by the Eunice Kennedy Shriver National Institute of Child Health and Human Development.
How exercise influences cancer progression
AICR research shows that exercise lowers the risk of developing colorectal, endometrial and breast cancers. There are many mechanisms by which exercise lowers risk of these cancers and can help cancer patients, according to another systematic review published earlier this year.
The paper, published in the British Journal of Sports Medicine, reviewed 168 papers that investigated biochemical pathways of exercise related to cancer. The authors categorized the papers into direct and indirect pathways, noting there is overlap between them.
The indirect effects included changes in vitamin D, weight reduction, sunlight exposure and improved mood. The authors note that excess sunlight is a cause of skin cancer.
The direct effects included insulin-like growth factor, epigenetic effects on gene expression and DNA repair, antioxidant pathways, chronic inflammation and prostaglandins, energy metabolism and insulin resistance.
There are likely other pathways yet to be investigated, the authors note. And it remains unclear which of these mechanisms has the most important role. Yet what this summary does show is that there is clear biological evidence for the cancer-related health benefits of exercise. While more research is needed, this paper can motivate cancer patients and survivors to engage in exercise programs.
Source: Tim Althoff, Rok Sosič, Jennifer L. Hicks, Abby C. King, Scott L. Delp, Jure Leskovec. Large-scale physical activity data reveal worldwide activity inequality. Nature, 2017; DOI: 10.1038/nature23018
Published on August 29, 2017