The science behind Envol

 

Envol is a holistic healing tool to help users improve their health and feel better. 

When the right conditions are combined day after day, our body can recharge, heal and thrive. These conditions, that we call 'nourishments', are the following basic needs:

Natural light (sunlight)

Healthy food

Contact with the Earth / nature (park, sea, beach, forest, etc.)

Gratitude / Love (for others, for yourself, for life)

• The balance between physical activity and rest (mental rest & sleep)

The positive effect of the above needs / activities on human health has been medically proven in many studies (which we have collected and mentioned on this page below).

All these conditions together and a special algorithm create Envol’s ''Recharge score'', which is an indicator of users’ efforts in improving their health and well-being.

In July 2021, the Envol team conducted a study on 220 participants to assess Envol's effects on health, energy and well-being.

During this 4 week study, users reported that they:

  • improved their health
  • had more energy
  • improved their mood
  • experienced less symptoms
  • improved their productivity

(see whole study down this page).

To help users improve their recharge score and access a state of restorative healing, Envol users can also use the Toolbox in the app with guided meditations, positive affirmations, empowering music, 3D sound journeys and a breathing module.

 

Medical papers and literature

Sunlight

 

Healthy food

 

Nature / contact with nature

 

Gratitude

 

Mental rest

 

Movement / physical activity

 

Sleep

 

Combination of health resources

Lifestyle

Food/Physical activity/healthy lifestyle

Physical activity, Outdoors and mental health

Physical activity & Sleep

Physical activity, sleep & rest balance

 

 

Medical research conducted by Envol

The aim of this research was to investigate whether mHealth opens new avenues for chronic illness management, in order to improve long term treatment impacts and overall health. Specifically, the potential of mHealth application use, with a particular focus on the Envol app, was evaluated over a 1-month pilot study.

Underpinned by the IMPT model, the overarching hypothesis was that, with more frequent mHealth use, there will be a greater improvement in symptom severity and overall health. The current results support this hypothesis, reporting that overall, despite how severe symptoms were, regular mHealth usage was associated with improved mental and physical health outcomes four weeks later. This remained the case, despite how severe symptoms were, whether it was assessing symptoms right now, on average and/or at worst. Moreover, qualitative assessment revealed how Envol’s visualization and meditation features were particularly beneficial to users. Moreover, users appreciated the flexibility of the app for integration into daily wellbeing activities and regarded the app as a key component in maintaining hope and resilience in their individual wellness journeys.

These results suggest that mHealth related apps, such as Envol, may benefit individuals’ health, as well as symptom severity, when used regularly (either daily, almost daily or 3-4 times a week). Among individuals who only used Envol daily, there were significant improvements in all health concepts, except physical functioning and role functioning/physical. However, it is worth noting, that while only six out of eight health concepts improved at the statistical significance levels, all concepts did in fact show improvements. As for symptom severity, daily Envol use improved symptom severity ‘right now’ and ‘on average’, but not for when ‘at worst’. Furthermore, when taking Envol scores into account, those that scored ’70 or more’ showed significant improvements in all three severity ratings; however, those that scored 69 or less only showed significant improvements for symptom severity ‘right now’ and ‘on average’, but not ‘at worst’. This implies that, in order to gain maximum health benefits from Envol, efforts to engage with the application and score highly are important - especially for those experiencing symptoms at their worst.

These conclusions are strengthened when controlling for use of other health related applications. For instance, when assessing Envol usage along with other health related applications, such as mindfulness training, we see significant improvements in all health domains, which was consistent regardless of symptom severity. However, when controlling for users who conjunctively used these other applications, and when only assessing those who used Envol, we still saw substantial and significant improvements in most health-related outcomes. Furthermore, when asked whether participants would recommend Envol to their friends and family, 95.8% responded positively. These findings show promise for the use of Envol specifically, in helping individuals manage and improve their health-related outcomes. The findings also indicate that, in order to benefit the most from Envol, daily usage seems to offer the most potential at improving health related outcomes. Indeed, among regular users, regardless of whether users had a score of below or under 70, symptom severity decreased at statistically significant levels compared to prior to Envol usage. This finding was qualitatively validated in the semi-structured discussion, in which participants expressed getting the most out of the app when using it to regularly track and manage their symptoms and keep themselves focused on their wellness goals on a daily basis.

Additionally, to evaluate the impact of Envol on improving mental wellbeing, we asked users to fill out the SF-36, a self-report survey on quality of life. Based on these answers, we were able to assess improvement on the following key performance indicators (KPIs): users' overall mood, anxiety symptoms, depressive symptoms, energy levels, and productivity. Relevant performance indicators were combined by summing up weighted scores on individual survey items. The ratio between before and after measurements, minus one, was used to calculate subsequent improvement scores.

To see the full research paper, please click here.