Methods and device arrangement for physical activity thresholds reducing risks of diabetes, cardiovascular diseases, inflammations, dementia, cancers and mortality in sedentary subjects
20200202995 · 2020-06-25
Assignee
Inventors
- Juhani Leppäluoto (Oulu, FI)
- Sirkka Keinänen-Kiukaanniemi (Oulu, FI)
- Timo Jämsä (Oulu, FI)
- Jari Jokelainen (Oulu, FI)
- Karl-Heinz Herzig (Oulu, FI)
Cpc classification
G16H20/30
PHYSICS
G16H50/70
PHYSICS
A61B5/7264
HUMAN NECESSITIES
A61B5/7275
HUMAN NECESSITIES
International classification
Abstract
Highblood levels of very low density lipoprotein lipids (VLDLs) and glycoprotein acyl (Glyc A) are known to increase risk of diabetes, cardiovascular diseases, inflammations, cognitive impairments, cancers and premature deaths in sedentary persons. The invention determines physical activity thresholds of daily steps and accelerations to reduce plasma concentrations of VLDLs and Glyc A. The method and device is an accelerometer recording and classifying numbers of steps and accelerations and comparing the person's steps and accelerations with those shown to reduce VLDLs and Gly A. The invention is characterized in that if the daily number of accleration maxima exceeds the given en threshold of 2980 steps in the acceleration range 1.3-1.7 g, the person has performed physical activity, typically known to reduce circulating VLDLs and Glyc A.
Claims
1. A method for defining and presenting threshold levels of physical activity to reduce GlycA and VLDLs of blood of persons having sedentary lifestyle, the method comprises: a step, in which by a transducer unit carried by a person accelerations of the body of the person induced by physical activity are registered; a step in which occurrence numbers (N) of registered acceleration maxima within a certain time period are classified and stored according to the maxima magnitude to one of four acceleration classes by the transducer unit; a step in which the numbers of acceleration maxima of the person in each acceleration class are compared to the reference data measured from exercising persons' numbers of acceleration maxima in each acceleration classes by the transducer unit; and a step in which by using the number of acceleration maxima in the acceleration classes it is identified into which physical activity class the person can be classified by the transducer unit, wherein the method further comprises: a step in which it is identified and presented by the transducer unit that the amount of the physical activity performed is classified to a physical activity class that is beneficial for prevention of diabetes, cardiovascular diseases, inflammations, dementia, cancers and early deaths of persons having sedentary lifestyle; or a recommendation of additional physical activity is given.
2. The method according to claim 1, wherein when occurrence numbers (N) of physical activity of the person exceeds a threshold value of an acceleration maxima of a particular acceleration class it is presented that the exercise performed has reduced risk of diabetes, cardiovascular diseases, inflammations, dementia, cancers and early deaths.
3. The method according to claim 2, wherein for defining the highest exercise activity class the registered acceleration maxima are divided into several acceleration classes between 1.3 g and 10 g, such as classes of 1.3<1.5 g, 1.5<1.7 g, 1.7<1.9 g, 1.9<2.1 g and >2.1 g wherein 1 g corresponds standing.
4. The method according to claim 3, wherein each measured acceleration maxima adds to the occurrence number (N) by one in the acceleration class to which it belongs.
5. The method according to claim 4, wherein when the daily occurrence number (N) of acceleration maxima exceeds the given threshold of 2980 daily steps within the acceleration classes 1.3-1.7 g, the person has performed physical activity, which has reduced GlycA and VLDLs of blood.
6. A transducer unit comprising: a uni- or polyaxial accelerometer that continuously register accelerations maxima induced by a physical activity of a person; a memory for storing the acceleration maxima; a processing unit configured to classify the acceleration maxima into acceleration classes between 0.3 g and 10 g, wherein it is further configured to: compare the classified acceleration maxima counts of the person with a threshold of 2980 daily steps in the acceleration classes 1.3-1.7 g, the exceeding of which have an effect for prevention of diabetes, cardiovascular diseases, inflammations, dementia, cancers and early deaths of persons having sedentary lifestyle; and inform the person under examination if his or hers physical activity is preventing diabetes, cardiovascular diseases, inflammations, dementia, cancers and early deaths.
7. The transducer unit according to claim 6, wherein if the number of acceleration maxima performed has exceeded a given threshold level whereby the physical activity has prevented diabetes, cardiovascular diseases, inflammations, dementia, cancers and early deaths.
8. The transducer unit according to claim 7, wherein the maximum acceleration values are divided into the accelerations classes 1.3<1.5 g, 1.5<1.7 g, 1.7<1.9 g, 1.9<2.1 g and >2.1 g.
9. The transducer unit according to claim 8, wherein each registered maximum value of acceleration adds the occurrence by one (N=1) at the acceleration class it belongs to.
10. The transducer unit according to claim 9, wherein when the daily number of acceleration (N) maxima exceeds a given threshold level 2980 in the acceleration class 1.3-1.7 g the physical activity performed has reduced GlycA and VLDLs of blood.
11. The transducer unit according to claim 10, wherein it is configured to produce graphic and/or audiovisual presentation about the g-values, number of g-values, walking speed and energy expenditure on-line, as integrals of day, week or other time period and also information if the performed physical activity reach the given threshold level the exceeding of which reduces GlycA and VLDLs of blood.
12. The transducer unit according to claim 5, wherein it is an element of a cellular phone, by which physical activity of the person is followed and steered to reduce GlycA and VLDLs of blood.
13. A computer program product, wherein it comprises computer code means saved on a computer readable media, which computer code means are configured to execute method steps of claims 1 by executing said computer program in a processor unit.
Description
[0010] Purpose of the Intervention
[0011] High occurrence of chronic diseases and early deaths in the sedentary populations are major health problems and associate with high levels of GlycA and VLDLs. Regular physical activities are known to reduce high GlycA and VLDLs, but presently no physical activity guidelines are available to reduce these risk factors. It is our purpose to offer exact information about amounts and intensities of physical activity reducing blood GlyA and VLDLs and risks of diabetes, cardiovascular diseases inflammations, dementia, cancers and premature deaths. In order to achieve our purpose we registered physical activities and measured blood biomarkers in sedentary and active subjects and determined amounts and intensities of physical activities reducing GlycA and VLDLs concentrations. Our invention determines for the first time in sedentary subjects the thresholds of the amount and intensity of the physical activity reducing blood GlycA and VLDLs and risks of diabetes, cardiovascular diseases, inflammations, cancers and premature deaths.
[0012] The Methods of the Invention
[0013] Sixty-eight sedentary men and women aged 30-70 years participated in supervised exercise carrying accelerometers during wake-full time on their waist for 3 months. Walking induced steps and accelerations were continuously registered reaching totally 50,000,000 data points. Exercises increased significantly number of steps or impacts in the acceleration classes 1.3-1.7 g (1 g is standing).
[0014] Blood samples were taken at the beginning and end of the trial to measure blood GlycA and VLDLs by an NMR method. The VLDLs measured in this invention are VLDL triglycerides (VLDL TG), medium size VLDL particles (M VLDL P), extra large VLDL particles (XL VLDL P), extremely large VLDL triglycerides (XXL VLDL TG, see
[0015] The invention described herein essentially differs from the previously known methods by which exercises have been used for prevention of risk factors of diabetes, cardiovascular diseases, inflammations, cancers, dementia and premature deaths. Physicians have generally been aware about the beneficial effects of regular exercise, but the volume, intensity and duration of the exercises have remained unknown. It was novel and unexpected in our invention that in sedentary subjects physical activity of very low amount and intensity (>2890 daily steps and accelerations 1.3-1.7 g) reduced concentrations of the major risk factors of diabetes, cardiovascular diseases inflammations, cancers and early deaths. Therefore, the contents of our invention is different from those in other publications, patents and recommendations, since they do not provide information about the exact thresholds of the amounts and intensities of physical activity reducing elevated concentrations of GlycA and VLDLs known to be associated with chronic diseases and early death.
[0016] The threshold levels for daily steps and accelerations were collected from 50,000,000 data points and did not show statistically different changes during the 3 months' trial. Hence, it is not possible that new threshold levels will be needed. E.g. the WHO guidelines for physical activity were published in 2008 and the present guidelines are still similar as 19 years before. For a skilled person it is not evident to load new threshold values. High amounts of data points will make the random chance extremely low. Also the threshold levels depend on patients' physical condition, the biomarker studied and the disease to be prevented. E.g. for preventing osteoporosis appr. 50 daily steps at >4.1 g are needed but for cholesterol reduction appr. 2000 daily steps at >2.1 g are needed in healthy subjects (Vainionp et al. 2006, Osteoporosis Int and 2007 Med Sci Sports Exerc). In sedentary subjects appr. 6500 daily steps at 1.3-1.7 g are needed to reduce cholesterol and visceral fat (Herzig et al. In J Obesity) and now 2890 daily steps at 1.3-1.7 g to reduce GlycA and VLDLs (Herzig et al. 2017 accepted for publication). It is well known that regular physical activities protects from many diseases and premature deaths but no exact biomarker threshold values for beneficial physical activities than ours presently exist.