| Literature DB >> 34804451 |
Abstract
The basic meaning of inactive lifestyle is doing sedentary activities. This includes playing video games, watching TV, operating computers, and sitting in a particular place for a long time. It may be sitting on the train or in bus, car, or office. This has many adverse effects on our bodies. This paper emphasizes the importance of physical activity, and a case study is presented to support the hypothesis that physical activity can certainly help improve human health. The diseases caused by inactive life are discussed in our paper. In this paper, a case study is described in which 200 individuals have participated in an activity called "Activity is Life," with the goal of improving the sedentary lifestyle and getting rid of physical ailments. The usage of analytical tools is made to analyse the data collected from the empirical research study, and IoT-based smart devices are used to capture the runtime data. The physicians and nurses have odd working hours, they have to go through many stress-induced situations, and most of them are suffering from life-threatening diseases such as depression, hypertension, cancer, and cardiovascular diseases. The main reason is inactivity in their lifestyles. To carry out an experimental study and to see the impact of regular activities on the health of doctors and nurses, a program was designed where 200 participants have participated. It is found that the activity-based 30-day program yielded great health benefits, including reduction in stress level, improvement in sleep quality index, and improvement in blood pressure values.Entities:
Mesh:
Year: 2021 PMID: 34804451 PMCID: PMC8601795 DOI: 10.1155/2021/4731281
Source DB: PubMed Journal: J Healthc Eng ISSN: 2040-2295 Impact factor: 2.682
Parametric values taken for the research study.
| Attributes | Description |
|---|---|
| Participant no. | Each physician is allocated an ID |
| Team ID | Each team is also provided an ID |
| Medical records | All the physician shared their medical records for maintaining our database with their preexisting ailments |
| Count of steps | The steps walked by doctors are recorded each day |
| Calories utilized | After walking and performing the activities planned by us, the total calories utilized by the physicians are shared on a daily basis |
| BPM | Every day the BPM was recorded during activities, and the average was recorded |
| PREVALUE_PSS | Perceived stress score for each physician is recorded before starting the activity program |
| POSTVALUE_PSS | PSS of each physician was recorded after 30 days of activities |
| PREVALUE_ESS | Epworth sleepiness scores were recorded before the beginning of the activity |
| POSTVALUE_ESS | ESS was recorded after activity program of 30 days |
| PREVALUE_PSQI | This provides details on Pittsburgh sleep quality index score of a participant before joining the activity program |
| POSTVALUE _PSQI | Provides details on Pittsburgh sleep quality index score of a participant after joining the activity program |
| PRE-SBP | Systolic blood pressure before starting the activity |
| POST-SBP | Systolic blood pressure after ending the 30-day activity |
| PRE-DBP | Diastolic blood pressure before starting the activity |
| POST-DBP | Diastolic blood pressure after ending the 30-day activity |
| Outcome | The field recorded the value in “1” or “0,” where 1 indicates that the program was useful and 0 indicates the inverse of it |
Figure 1ESS, PSS, and PSQI and scores of 10 groups (aggregated) before and after activity.
Figure 2DBP and SBP values of 17 participants before and after activity.