SLEEP INFORMATION PROCESSING METHOD, SLEEP INFORMATION PROCESSING PROGRAM, AND SLEEP INFORMATION PROCESSING SYSTEM

Abstract

To provide sleep improvement information in consideration of a social jet lag.SOLUTION: A sleep information processing method includes: a step (S1) for inputting to a computer first time information I1 on bed time SOw and wake-up time SEw on a working day of a subject, and second time information I2 on bed time SOf and wake-up time SEf on a non-working day of the subject; a step (S2) for calculating a sleep time variation parameter PL on the basis of the first and second time information I1 and I2; a step (S3) for inputting a physical state parameter PB on the subject; a step (S4) for inputting a sleep state parameter PS on the subject; and a step (S5) for outputting sleep improvement information by using the sleep time variation parameter PL, the physical state parameter PB, and the sleep state parameter PS.SELECTED DRAWING: Figure 3

Description

[Technical field]

[0001] The present invention relates to a sleep information processing method, a sleep information processing program, and a sleep information processing system that output sleep improvement information. [Background technology]

[0002] Living organisms on earth, such as humans, have an internal rhythm that follows a 24-hour cycle, and are active during the day and resting at night. Human body temperature, blood pressure, pulse rate, and secretion of various hormones also follow a 24-hour rhythm, and immunity and metabolism are affected by internal rhythms. It has been reported that the internal rhythm of humans is slightly longer than 24 hours, for example, about 24 hours and 10 minutes (Science. 1999 Jun 25; 284(5423): 2177-81). For example, disruptions to one's life, such as staying up late, reversing one's day and night schedule, or oversleeping on weekends, affect the internal rhythm, causing a drowsy state during the day, inability to recover from fatigue, and poor physical condition.

[0003] Also, while on weekdays (Monday to Friday) people's bedtimes and wake-up times are roughly the same due to work (including school), on weekends (Saturday, Sunday, and national holidays) people may catch up on sleep or sleep in to rest. As a result, people may wake up feeling drowsy and unwell on Monday morning, the first day of work. This difference between weekday sleep, which is subject to social constraints (work, school, housework, etc.), and unconstrained weekend sleep, which is in sync with the biological clock, is known academically as "social jet lag" (Chronobiol Int. 2006; 23(1-2): 497-509).

[0004] Several studies have confirmed that this social jet lag can occur when you sleep in for just two days on a holiday, causing your body clock to be delayed by 30 to 45 minutes (Chronobiol Int. 2010 Aug; 27(7): 1469-92, Sleep. 2001 May 1; 24(3): 272-81). What's more, it's not easy to get your body's rhythm back on track once it's shifted, and some reports suggest that this can lead to feelings of sleepiness and daytime fatigue continuing into the first half of the next week (Sleep and Biological Rhythms 2008; 6: 172-9). [Prior art documents] [Patent documents]

[0005] [Patent Document 1] JP 2019-162382 A [Patent Document 2] Patent No. 5879833 [Patent Document 3] Patent No. 6418671 Summary of the Invention [Problem to be solved by the invention]

[0006] Patent Document 1 relates to an apparatus and program for supporting improvement of sleep quality. Patent Document 2 relates to an information processing apparatus and program for evaluating sleep quality based on biological signals detected from a sleeping subject. Patent Document 3 relates to a personnel management support system for smoothly supporting personnel management of an organization by collecting information on employees' lifestyle habits and sleep conditions through a questionnaire and using statistical methods. However, none of Patent Documents 1 to 3 mentions the above-mentioned social jet lag at all.

[0007] An object of the present invention is to provide a sleep information processing method, a sleep information processing program, and a sleep information processing system that can provide sleep improvement information that takes social jet lag into account. [Means for solving the problem]

[0008] A first aspect of the present invention includes a step of inputting into a computer first time information I1 relating to a bedtime SOw when the subject's sleep started and a wake-up time SEw when the sleep ended on a workday, and second time information I2 relating to a bedtime SOf when the subject's sleep started and a wake-up time SEf when the sleep ended on a non-workday; calculating a sleep time variation parameter PL representing a sleep time variation based on the first time information I1 and the second time information I2 by the computer; inputting a physical condition parameter PB representing a physical condition of a subject into the computer; inputting a sleep state parameter P representing a sleep state of the subject into said computer; and outputting sleep improvement information by the computer using the sleep time variation parameter PL, the physical condition parameter PB, and the sleep state parameter PS. This method can provide information for improving sleep that takes social jet lag into account.

[0009] In the present invention, it is preferable to calculate the median sleep value MSw on workdays based on the first time information I1, calculate the median sleep value MSf on non-workdays based on the second time information I2, and use the value SJL obtained by subtracting the median sleep value MSw from the median sleep value MSf or its absolute value |SJL| as the sleep time variation parameter PL. These methods allow us to adequately quantify social jet lag.

[0010] In the present invention, the sleep state parameter PS is preferably a questionnaire result including at least one of sleep time, sleep quality, and daytime sleepiness. This technique can accurately reflect the subject's sleep state.

[0011] In the present invention, the physical condition parameter PB is preferably a questionnaire result including at least one of work productivity, physical condition, and mental condition. This method can accurately reflect the subject's physical condition.

[0012] A second aspect of the present invention provides a method for implementing a method of a computer comprising: A function for inputting first time information I1 relating to a bedtime SOw when sleep started and a wake-up time SEw when said sleep ended on a working day of the subject, and second time information I2 relating to a bedtime SOf when sleep started and a wake-up time SEf when said sleep ended on a non-working day of the subject; A function of calculating a sleep time variation parameter PL representing a sleep time variation based on the first time information I1 and the second time information I2; A function for inputting a physical condition parameter PB representing the physical condition of the subject; A function for inputting a sleep state parameter PS representing the subject's sleep state; The present invention provides a function of outputting sleep improvement information using the sleep time variation parameter PL, the physical condition parameter PB, and the sleep state parameter PS, and a sleep information processing program for realizing the function. This method can provide information for improving sleep that takes social jet lag into account.

[0013] A third aspect of the present invention includes a first input means for inputting first time information I1 relating to a bedtime SOw when the subject's sleep started and a wake-up time SEw when the sleep ended on a workday, and second time information I2 relating to a bedtime SOf when the subject's sleep started and a wake-up time SEf when the sleep ended on a non-workday; A calculation means for calculating a sleep time variation parameter PL representing a sleep time variation based on the first time information I1 and the second time information I2; A second input means for inputting a physical state parameter PB representing a physical state of the subject; a third input means for inputting a sleep state parameter P representing the sleep state of the subject; and an output means for outputting sleep improvement information using the sleep time variation parameter PL, the physical condition parameter PB, and the sleep state parameter PS. This method can provide information for improving sleep that takes social jet lag into account. Effect of the Invention

[0014] According to the present invention, it is possible to provide information for improving sleep that takes social jet lag into consideration. [Brief description of the drawings]

[0015] [Figure 1] 1 is a block diagram showing an example of a sleep information processing system according to an embodiment of the present invention. [Diagram 2] This is an illustration of social jet lag. [Diagram 3] 3 is a flowchart showing an example of a sleep information processing method according to the present invention. [Figure 4] An example of sleep improvement information is a graph showing absolute presenteeism (productivity) (Z-axis) as a function of the Athens Insomnia Scale (X-axis) and social jet lag (Y-axis). [Diagram 5] This is a graph in which the numerical values ​​on the three axes in FIG. 4 are simply expressed as two values: "good" and "bad." [Figure 6] Another example of sleep improvement information is a graph showing the odds ratio of having a cold (Z-axis) as a function of the Athens Insomnia Scale total score (X-axis) and social jet lag (Y-axis). DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0016] Hereinafter, an embodiment of the present invention will be described with reference to the drawings.

[0017] 1 is a block diagram showing an example of a sleep information processing system according to an embodiment of the present invention. The sleep information processing system 1 includes a host computer 10 capable of operating as a server, a storage device 11 for storing various databases, and multiple terminals 21, 22, and 23 capable of operating as clients.

[0018] The host computer 10 includes a processor, memory, an interface, etc., and executes arithmetic processing according to various pre-set programs (for example, a program using the statistical processing programming language "R"). These various programs include the sleep information processing program according to the present invention. The host computer 10 can generally be connected to data input devices such as a keyboard and a pointing device, and data output devices such as a display, a printer, and a projector. The host computer 10 may be a single computer for centralized processing, or may be distributed across multiple computers for distributed processing.

[0019] The storage device 11 is composed of a hard disk drive, an optical disk drive, a solid state drive, a magnetic tape drive, etc., and is communicatively connected to the host computer 10 via wired or wireless communication. The storage device 11 may be a single device for centralized processing, or may be distributed across multiple storage devices for distributed processing.

[0020] The terminals 21, 22, 23 are composed of a personal computer PC, a tablet terminal, a smartphone, a mobile phone, etc., and are provided with means for inputting data, such as a keyboard, a pointing device, a touch panel, various switches, a microphone, a camera, etc., and further with means for outputting data, such as a liquid crystal panel, an organic LED panel, an LED lamp, a speaker, etc. These terminals 21, 22, 23 can be connected to each other so as to be able to communicate with each other via a network line such as the Internet or an intranet, and can also be connected to the host computer 10 so as to be able to communicate with each other.

[0021] In the present invention, a questionnaire form is presented to users of terminals 21-23, who respond to the questionnaire. Host computer 10 then compiles and statistically processes the individual questionnaire results to create and update a sleep information database, and outputs individual sleep improvement information corresponding to each user to terminals 21-23, respectively.

[0022] Figure 2 is an explanatory diagram of social jet lag. The horizontal axis shows the time from 10 pm to 10 am, and the vertical axis shows the repetition of one week including Monday to Friday (weekdays) and Saturday and Sunday (holidays). The left end of the bar graph shows the bedtime, the right end of the bar graph shows the wake-up time, and the length of the bar graph shows the sleep time. The top five bar graphs show the sleep time from Monday to Friday, and the bottom two bar graphs show the sleep time on Saturday and Sunday. Here, as an example, we focus on the median sleep time, which is located in the middle of the sleep time, and there is a difference of about 3 hours between the median sleep time on weekdays and on holidays, and this difference is called the "social jet lag time." Here, we have exemplified the case where the subject is a regular worker with two days off per week (for example, working from 9 am to 5 pm), but the same can be applied to cases where the subject is off on one weekday and works on one holiday.

[0023] 3 is a flow chart showing an example of a sleep information processing method according to the present invention. The method includes steps S1 to S5. The order of steps S1, S2, S3, and S4 is arbitrary and can be changed as necessary. Such a sleep information processing method can be implemented in the host computer 10 and the terminals 21, 22, and 23 using various programming languages, such as HTML, CSS, JavaScript, PHP, Java, Python, C++, C#, Swift, Ruby, and R.

[0024] First, when the host computer 10 receives a request to send a questionnaire from a user via the terminals 21, 22, and 23, it transmits a predetermined questionnaire form to the terminals 21, 22, and 23. The details of the questionnaire form will be described later. The terminals 21, 22, and 23 display the received questionnaire form on their screens.

[0025] Then, in step S1, the user inputs, in accordance with the questionnaire form, first time information I1 relating to the bedtime SOw when the subject's sleep started and the wake-up time SEw when the sleep ended on a workday, and second time information I2 relating to the bedtime SOf when the subject's sleep started and the wake-up time SEf when the sleep ended on a non-workday, into terminals 21, 22, 23. Terminals 21, 22, 23 transmit the input data to host computer 10. The user may be the same as the subject or may be a different person.

[0026] Next, in step S2, the host computer 10 calculates a sleep time variation parameter PL that indicates a sleep time variation based on the first time information I1 and the second time information I2 received from the terminals 21, 22, and 23. As an example of this calculation method, a method of calculating a central sleep time is known (https: / / mctq.jp / use / index_para.html).

[0027] In detail, the median sleep time MSw on a workday can be calculated as MSw=SOw+(SDw) / 2. However, if the calculated value of MSw exceeds 24, the median sleep time is calculated by subtracting 24 from it. Next, the length of sleep (sleep segment) SDw on a workday can be calculated as follows: (1) if the sleep segment does not cross midnight, SDw=SEw-SOw, and (2) if the sleep segment crosses midnight, SDw=SEw-(SOw-24). Here, SEw is the wake-up time on a workday (input value in 24-hour format), and SOw is the bedtime on a workday (input value in 24-hour format). If there are multiple workdays, the average of the values ​​for each workday may be used.

[0028] Subsequently, the mid-sleep time MSf on a holiday can be calculated as MSf = SOf + (SDf) / 2. However, if the calculated value of MSf exceeds 24, the value obtained by subtracting 24 is taken as the mid-sleep time. Next, the length of sleep (sleep period) SDf on a holiday can be calculated as follows: (1) when not crossing 24:00, SDf = SEf - SOf; (2) when crossing 24:00, SDf = SEf - (SOf - 24). Here, SEf is the wake-up time on a holiday (input value in 24-hour notation), and SOf is the bedtime on a holiday (input value in 24-hour notation). When there are multiple holidays, it may be the average value of the numerical values for each holiday.

[0029] Subsequently, the social jet lag time is calculated as the sleep time variation parameter PL. The social jet lag time includes the following two types. · Relative social jet lag time SJL (= MSf - MSw) · Absolute social jet lag time |SJL| (|| represents the absolute value) However, when the value of |SJL| exceeds 12, the value obtained by subtracting it from 24 (SJL' in the following formula) is taken as the social jet lag time. SJL' = 24 - |SJL| In the present invention, either the relative social jet lag time SJL or the absolute social jet lag time |SJL| can be used.

[0030] In the above description, the difference in the mid-sleep time between a working day and a holiday was calculated. In addition to this, it is also possible to calculate: 1) the difference in bedtime between a working day and a holiday; 2) the difference in wake-up time between a working day and a holiday; 3) the difference in the time when x% (0 < x < 100) of the sleep period has elapsed from the bedtime between a working day and a holiday, etc.

[0031] Next, in step S3, the user inputs a physical state parameter PB representing the physical state of the subject into terminals 21, 22, and 23. Terminals 21, 22, and 23 transmit the input data to the host computer 10. Details of the physical state parameter PB will be described later.

[0032] Next, in step S4, the user inputs a sleep state parameter PS representing the sleep state of the subject to the terminals 21, 22, 23. The terminals 21, 22, 23 transmit the input data to the host computer 10. The sleep state parameter PS will be described in detail later.

[0033] The various data thus input by the user are collected by the host computer 10, subjected to statistical processing, and stored in the storage device 11.

[0034] Next, in step S5, the host computer 10 uses the sleep time variation parameter PL calculated in step S2 and the physical condition parameter PB and the sleep state parameter PS received from the terminals 21, 22, 23 to refer to the database stored in the storage device 11, and generates sleep improvement information corresponding to these parameters and transmits it to the terminals 21, 22, 23. The terminals 21, 22, 23 display the received sleep improvement information on a screen or output it as sound from a speaker. The sleep improvement information will be described in detail later.

[0035] Next, we will explain the questionnaire presented to each user. An example of the questionnaire content is shown below. Questions No. 1 to 8 are quoted from the Athens Insomnia Scale (AIS) (Soldatos et al.: "Athens Insomnia Scale: validation of an instrument based on ICD-10 criteria", Journal of Psychosomatic Research 48:555-560, 2000). Questions No. 13 to 18 are quoted from the shortened version of the WHO World Mental Health Japan Survey "World Health Organization (WHO) Health and Job Performance Questionnaire" (https: / / www.hcp.med.harvard.edu / hpq / ftpdir / WMHJ-HPQ-SF_2018.pdf).

[0036] No.1 Question item: Athens Insomnia Scale Question format: Select one Question: About problems falling asleep (how long it takes to fall asleep after getting in bed and turning off the lights) ○Please select something that you have experienced at least 3 times a week in the past month [Required] (1) There were no problems (2) It took a while (3) It took a long time (4) It took a very long time or I couldn't sleep at all.

[0037] No.2 Question item: Athens Insomnia Scale Question format: Select one Question: About waking up during the night ○Please select something that you have experienced at least 3 times a week in the past month [Required] (1) It wasn't enough to be a problem. (2) I had some trouble (3) I am in a lot of trouble (4) Serious illness or complete inability to sleep

[0038] No.3 Question item: Athens Insomnia Scale Question format: Select one Question: I wake up earlier than my desired wake-up time and can't fall asleep any more. ○Please select something that you have experienced at least 3 times a week in the past month [Required] (1) No such thing happened. (2) It was a little early (3) It was pretty fast (4) I woke up very early or couldn't sleep at all.

[0039] No.4 Question item: Athens Insomnia Scale Question format: Select one Question: Total sleep time ○Please select something that you have experienced at least 3 times a week in the past month [Required] (1) It was enough (2) It was a little lacking (3) It was quite lacking (4) I got very little sleep or I couldn't sleep at all.

[0040] No.5 Question item: Athens Insomnia Scale Question format: Select one Q: What about overall sleep quality? ○Please select something that you have experienced at least 3 times a week in the past month [Required] (1) Satisfied (2) A little dissatisfied (3) Very dissatisfied (4) Very dissatisfied or could not sleep at all

[0041] No.6 Question item: Athens Insomnia Scale Question format: Select one Question: Daytime satisfaction ○Please select something that you have experienced at least 3 times a week in the past month [Required] (1) As usual (2) Slight decrease (3) Significantly decreased (4) Very low

[0042] No.7 Question item: Athens Insomnia Scale Question format: Select one Question: What about your daytime activities (physical and mental)? ○Please select something that you have experienced at least 3 times a week in the past month [Required] (1) As usual (2) Slight decrease (3) Significantly decreased (4) Very low

[0043] No.8 Question item: Athens Insomnia Scale Question format: Select one Q: About daytime sleepiness ○Please select something that you have experienced at least 3 times a week in the past month [Required] (1) Not at all (2) A little (3) Quite a bit (4) Intense

[0044] No.9 Question item: Time information Question format: Free description Question: [Wake-up time on weekdays] I would like to ask you about your recent daily life. Please tell me the time you usually wake up on work (school) days in 4 digits (24-hour format) [Required] Example: 6:30am → 0630 4-digit free answer

[0045] No.10 Question item: Time information Question format: Free description Question: [Bedtime on weekdays] I would like to ask you about your recent living situation. Please tell me the time you usually go to bed on work (school) days in 4 digits (24-hour format) [Required] Example: 11:30pm → 2330 Example: 12:30am → 0030 Example: For 1:30am, call 0130 4-digit free answer

[0046] No.11 Question item: Time information Question format: Free description Question: [Bedtime on weekdays] I would like to ask about your recent living situation. Please tell me the time you wake up on days when you do not have work (school) in four digits (24-hour format) [Required] Example: 6:30am → 0630 4-digit free answer

[0047] No.12 Question item: Time information Question format: Free description Question: [Bedtime on holidays] I would like to ask you about your recent lifestyle. Please tell me the time you usually go to bed on days when you don't have work (school) in four digits (in 24-hour format). Example: 11:30pm → 2330 Example: 12:30am → 0030 Example: For 1:30am, call 0130 4-digit free answer

[0048] No.13 Question item: Absenteeism (B3) Question format: Free description Question: Approximately how many hours did you work during the past 7 days? Please answer with two digits [required] (Please answer within the range of 00-97. If it is more than 97 hours, please write 97.) 2-digit free answer

[0049] No.14 Question item: Absenteeism (B4) Question format: Free description Question: How many hours does your employer expect you to work in a typical week? Please answer with two digits [required] (If it fluctuates, estimate the average.) (Please answer within the range of 00-97. If it is more than 97 hours, please write 97.) 2-digit free answer

[0050] No.15 Question item: Absenteeism (B6) Question format: Free description Question: Approximately how many hours did you work during the 4 weeks (28 days)? [Required] (Please see the example below and answer the number of hours for the past 4 weeks (28 days)) Example of calculating hours worked in the past 4 weeks · 40 hours per week for 4 weeks = 160 hours 35 hours per week for 4 weeks = 140 hours · 40 hours per week for 4 weeks, 2 8 hour work days with 2 days off = 144 hours · 40 hours per week for 4 weeks, 4 hours on each day, 3 days off = 148 hours 35 hours per week for 4 weeks, 2 days off with 8 hours on each day, and 3 days off with 4 hours on each day = 112 hours 3-digit free answer

[0051] No.16 Question: Presenteeism (B9) Question format: Select one Question: On a scale of 0 to 10, where 0 is the best performance anyone can achieve in your job and 10 is the best performance by a worker, how would you rate the typical performance of most workers in jobs similar to yours? [Required] 0 Worst Performance 1 2 3 4 5 6 7 8 9 10 Best Performance

[0052] No.17 Question: Presenteeism (B10) Question format: Select one Question: On the same 0 to 10 scale, how would you rate your usual performance over the past 1-2 years? [Required] 0 Worst Performance 1 2 3 4 5 6 7 8 9 10 Best Performance

[0053] No.18 Question: Presenteeism (B11) Question format: Select one Question: On the same 0 to 10 scale, how would you rate your overall performance on each of your work days during the past 4 weeks (28 days)? [Required] 0 Worst Performance 1 2 3 4 5 6 7 8 9 10 Best Performance

[0054] No.24 Question: Cold Question format: Select one Question: Have you had a cold between September 2017 and February 2018? Please select the number of times you have had a cold [Required] (1) I didn’t catch a cold. (2) I caught a cold once. (3) I caught a cold twice. (4) Have had a cold three or more times

[0055] No.25 Question: Cold Question format: Select one Q: Did you have the flu between September 2017 and February 2018? Please select the number of times you have had the flu [required] (1) I didn’t get the flu. (2) I had the flu once. (3) Having had influenza more than twice

[0056] No.26 Question item: Other Question format: Free description Question: Is there anything you'd like to know about sleep? [Open-ended]

[0057] Next, the sleep state parameter PS will be described. An example of the sleep state parameter PS is shown below.

[0058] 1) Evaluation content: Severity of insomnia, sleep quality, daytime sleepiness, sleep duration, etc. Evaluation index / method: Athens Insomnia Scale Evaluation score: Total score of 8 questions

[0059] 2) Evaluation content: Sleep quality Evaluation index / method: Pittsburgh Sleep Quality Index Values ​​used on the axis: Total score calculated from responses to 18 questions

[0060] 3) Evaluation content: Sleep quality Evaluation index / method: St. Mary's Hospital Sleep Questionnaire Numerical value used for evaluation: Score of any question among 14 questions that make up the questionnaire

[0061] 4) Evaluation content: Sleep quality Evaluation index / method: Sleep quality VAS (Visual Analog Scale) Values ​​used for evaluation: VAS score

[0062] 5) Evaluation content: Daytime sleepiness Evaluation index / assessment method: Epworth Sleepiness Scale Evaluation score: Total score of 8 questions

[0063] 6) Evaluation content: Daytime sleepiness Evaluation index / evaluation method: Karolinska Sleepiness Scale (a 9-point scale for assessing sleepiness) Numerical value used for evaluation: Score

[0064] 7) Evaluation content: Daytime sleepiness Evaluation index / assessment method: degree of drowsiness VAS (Visual Analog Scale) Values ​​used for evaluation: VAS score

[0065] 8) Evaluation content: Sleep time (length) Evaluation index / evaluation method: Sleep time Value used for evaluation: actual time or some score Overview: Actual length (e.g. 6 hours 30 minutes), or time score (e.g. 6-8 hours = 3 points). Subjective score such as "enough" or "not enough".

[0066] Next, we will explain the Athens Insomnia Scale (AIS). An example of the Athens Insomnia Scale is shown below, and the total score of each number is used.

[0067] No.1 Problems falling asleep 0. No problem 1. It took a while 2. It took a long time 3. It took a very long time or I couldn't sleep at all.

[0068] No.2 Problems with waking up during the night 0. It wasn't a big deal. 1. I had some trouble 2. I'm in a lot of trouble 3. Serious condition or no sleep at all

[0069] No.3 The problem of waking up earlier than the desired wake-up time and not being able to fall asleep any further 0. That never happened. 1. It was a little early 2. It was pretty fast 3. I woke up very early or didn't sleep at all.

[0070] No.4 Total sleep time 0. It was enough 1. It was a bit lacking 2. It was quite lacking 3. Not enough sleep or not getting enough sleep at all

[0071] No.5 Overall sleep quality 0. Satisfied 1. A little dissatisfied 2. Quite dissatisfied 3. Very dissatisfied or couldn't sleep at all

[0072] No.6 Daytime satisfaction 0. As usual 1. Slight decrease 2. Significantly decreased 3. Very Decreased

[0073] No.7 Daytime activities (physical and mental) 0. As usual 1. Slight decrease 2. Significantly decreased 3. Very Decreased

[0074] No.8 Daytime sleepiness 0. Not at all 1. A little 2. Quite a few 3. Intense

[0075] For details on the Pittsburgh Sleep Quality Index, please refer to the following URL (Yuriko Doi, Masumi Minowa, Masako Okawa, Makoto Uchiyama: Creation of a Japanese version of the Pittsburgh Sleep Quality Index. Psychiatry and Therapy 1998; 13 (6); 755-769.). http: / / www.kanen.ncgm.go.jp / study_download / 20111202_02_02.pdf For information about the St. Mary's Hospital Sleep Questionnaire, please refer to the following literature (Uchiyama Makoto, Ota Katsuya, Okawa Masako: Assessment scales for sleep and sleep disorders. Clinical Psychiatry Course 13: Sleep Disorders (edited by Ota Tatsuro and Okawa Masako), Nakayama Shoten, p498, 1999). VAS (Visual Analog Scale) is a method of inputting numbers from 0 to 100 on a visual analog scale. For information on the Epworth Sleepiness Scale, see the following URL (Takegami M, Suzukamo Y, Wakita T, et al: Development of a Japanese version of the Epworth Sleepiness Scale (JESS) based on Item Response Theory. Sleep Med, 10 (5): 556-565, 2009). https: / / www.jrs.or.jp / quicklink / journal / nopass_pdf / 044110896j.pdf For more information on the Karolinska sleepiness scale, please see the following literature (Kaida K, Takahashi M, Aakerstedt T, et al: Validation of the Karolinska sleepiness scale against performance and EGG variables. Clin Neurophysiol 2006; 117: 1574-81).

[0076] Next, the physical condition parameter PB will be described. An example of the physical condition parameter PB is shown below.

[0077] 1) Evaluation content: Presenteeism Evaluation index / assessment method: (1) WHO-HPQ absolute presenteeism (10 times the presenteeism (B11) in question No. 18), (2) WHO-HPW relative presenteeism (10 times the presenteeism (B11) in question No. 18 divided by the presenteeism (B9) in question No. 16. If the value is 0.25 or less, it is converted to 0.25. If the value is 2.0 or more, it is converted to 2.0. If B9=0 and B11=1-10, it is converted to 2.0. If B9=B11=0, it is converted to 1.0.), (3) University of Tokyo single-item version, (4) WLQ (Work Limitations Questionnaire), (5) SPS (Stanford Presentism Scale), (6) Wfun (Work Functioning Impairment Scale), (7) QQmethod Values ​​used for evaluation: Summary: See p.27-31 of https: / / www.meti.go.jp / policy / mono_info_service / healthcare / kenkokeiei-guidebook2804.pdf. See https: / / www.hcp.med.harvard.edu / hpq / ftpdir / WMHJ-HPQ-SF_2018.pdf.

[0078] 2) Evaluation content: cold Evaluation index / evaluation method: Have you caught a cold? Value used for evaluation: Odds ratio

[0079] 3) Evaluation content: physical condition Evaluation index / evaluation method: Subjective sense of health Values ​​used for evaluation: Scoring answers on a scale using verbal options

[0080] 4) Evaluation content: Fatigue Evaluation index / assessment method: (1) Chalder Fatigue Scale, (2) VAS (Visual Analog Scale) Numerical values ​​used for evaluation: (1) Total score calculated from answers to 15 questions, (2) VAS score

[0081] 5) Evaluation content: Mental health Evaluation index / evaluation method: K6 Evaluation score: Total score of 6 questions

[0082] 6) Evaluation content: Eye strain Evaluation index / evaluation method: (1) Yes / No, (2) VAS (Visual Analog Scale) Values ​​used for evaluation: (1) odds ratio, (2) VAS score

[0083] 7) Evaluation content: Degree of motivation Evaluation index / assessment method: (1) VAS (Visual Analog Scale), (2) Utrecht Work Engagement Scale (UWES) The values ​​used for evaluation are: (1) VAS score, (2) score for any of the 17, 9, or 3 questions that make up the questionnaire. Summary: For more information on work engagement, please refer to the following literature (Shimazu, A., Schaufeli, WB, Kosugi, S. et al. (2008). Work engagement in Japan: Validation of the Japanese version of Utrecht Work Engagement Scale. Applied Psychology: An International Review, 57, 510-523).

[0084] 8) Evaluation content: degree of stiff shoulders Evaluation index / evaluation method: (1) Yes / No, (2) VAS (Visual Analog Scale) Values ​​used for evaluation: (1) odds ratio, (2) VAS score

[0085] 9) Evaluation content: Severity of lower back pain Evaluation index / evaluation method: (1) Yes / No, (2) VAS (Visual Analog Scale) Values ​​used on the axes: (1) odds ratio, (2) VAS score

[0086] 10) Evaluation content: degree of constipation Evaluation index / evaluation method: (1) Yes / No, (2) VAS (Visual Analog Scale) Values ​​used for evaluation: (1) odds ratio, (2) VAS score

[0087] 11) Evaluation content: degree of runny nose Evaluation index / evaluation method: (1) Yes / No, (2) VAS (Visual Analog Scale) Values ​​used for evaluation: (1) odds ratio, (2) VAS score

[0088] 12) Evaluation content: degree of nasal congestion Evaluation index / evaluation method: (1) Yes / No, (2) VAS (Visual Analog Scale) Values ​​used for evaluation: (1) odds ratio, (2) VAS score

[0089] 13) Evaluation content: Severity of headache Evaluation index / evaluation method: (1) Yes / No, (2) VAS (Visual Analog Scale) Values ​​used for evaluation: (1) odds ratio, (2) VAS score

[0090] 14) Evaluation: Absenteeism Evaluation index / evaluation method: Number of days absent from work due to illness Values ​​used for evaluation: Number of days absent from work due to illness

[0091] Next, we will explain the sleep improvement information. Figure 4 is a graph showing absolute presenteeism (productivity) (Z axis) as a function of the Athens Insomnia Scale (X axis) and social jet lag (Y axis) as an example of sleep improvement information. From this graph, we can see that the absolute presenteeism decreases as the Athens Insomnia Scale and social jet lag increase.

[0092] For ease of understanding, Fig. 5 is a graph in which the values ​​on the XYZ axes in Fig. 4 are simply expressed as two values, "good" and "bad." In this case, eight combinations are assumed, and examples of sleep improvement messages corresponding to each combination are shown below. The two values, "good" and "bad," are shown in the following order: (presenteeism, Athens Insomnia Scale, social jet lag).

[0093] 1 Bad Good Bad Your work performance is poor. It is becoming clear that both sleep state and rhythm affect performance. Although your sleep quality is good, your sleep rhythm between weekdays and weekends is disrupted, so try to maintain the same sleep rhythm as much as possible.

[0094] 2 Good Good Bad It is becoming clear that both sleep state and rhythm affect performance. Your work performance is currently good, but your sleep rhythm between weekdays and weekends seems to be disrupted. If you continue to live a life with a disrupted sleep rhythm, your performance may decline. Be conscious of living with the same sleep rhythm as much as possible.

[0095] 3 Bad Good Good Your work performance is poor. It is known that both sleep state and rhythm affect performance, but your sleep state and your sleep rhythm between weekdays and weekends seem to be in good condition. There may be some other problem besides sleep. Try to maintain your current sleep habits.

[0096] 4 Good Good Good Your work performance is in good condition. It is becoming clear that both sleep state and rhythm affect performance, and it seems that you are in good condition in both sleep state and sleep rhythm. Please continue to maintain your current lifestyle rhythm.

[0097] 5. Bad Bad Bad Your work performance is poor. It is known that both sleep state and rhythm affect performance, but you are in a bad state of sleep and your sleep rhythm is also disturbed between weekdays and weekends. First of all, try to be conscious of living with the same sleep rhythm as much as possible.

[0098] 6 Good Bad Bad Your sleep is bad, and your sleep rhythm between weekdays and weekends is also disrupted. It is becoming clear that sleep state and rhythm affect work performance. Your work performance is currently good, but from now on, try to be conscious of keeping your sleep rhythm as consistent as possible so that your work performance does not decline.

[0099] 7 Bad Bad Good Your work performance is poor. It is becoming clear that sleep conditions and rhythms affect work performance. You have a good sleep rhythm on weekdays and weekends, but your sleep condition is not good. If you are stressed, you cannot get good quality sleep. Try to relax.

[0100] 8 Good Bad Good It is becoming clear that sleep conditions and rhythms affect work performance. You have a good sleep rhythm on weekdays and weekends, but your sleep condition is not good. Your work performance is good now, but you should aim to improve your sleep condition so that your work performance does not decline. Stress makes it difficult to get good quality sleep. Try to relax.

[0101] As another example of sleep improvement information, Figure 6 is a graph showing the odds ratio of catching a cold (Z-axis) as a function of the Athens Insomnia Scale total score (X-axis) and social jet lag (Y-axis). For the sake of convenience, the odds ratio of each variable category is visualized by a bar graph, assuming that the Athens Insomnia Scale total score is 3p or less and social jet lag is less than one hour. From this graph, it can be seen that the odds ratio of catching a cold increases as the Athens Insomnia Scale total score and social jet lag increase.

[0102] Next, the method for calculating the odds ratio of cold infection will be described. For the analysis target population, the logistic regression model of the following formula (1) is used, in which the presence or absence of cold infection is the objective variable, and the Athens Insomnia Scale total score (4 categories) and the social jet lag (3 categories) are the explanatory variables, to estimate the odds associated with changes in the classification levels of the Athens Insomnia Scale total score (4 categories) and the social jet lag (3 categories).

[0103]

number

[0104] Here, i indicates the i-th subject, p indicates the probability of catching a cold as determined by the questionnaire, ATN indicates the four Athens Insomnia Scale classifications (~3p, 4~5p, 6~9p, 10p~), and SJL indicates the three social jet lag classifications (~1h, 1~2h, 2h~). The odds ratios associated with changes in ATN and SJL are estimated as exp(β2) and exp(β3), respectively. Note that in actual calculations, dummy variables are used for ATN and SJL, with ATN=~3pt and SJL=~1h as the reference categories, respectively.

[0105] The statistical processing programming language R3.6.0 was used for the estimation. The R language code used for the estimation using the hypothetical data is shown below.

[0106] [Virtual data creation code] Y <- c(rep(0, 430), rep(1, 570)) ATN <- c(rep("~3p", 140), rep("4~5p", 50), rep("6~9p", 60), rep("10p~", 20), rep("~3p", 60), rep("4~5p", 30), rep("6~9p", 20), rep("10p~", 10), rep("~3p", 10), rep("4~5p", 10), rep("6~9p", 10), rep("10p~", 10), rep("~3p", 130), rep("4~5p", 90), rep("6~9p", 70), rep("10p~", 40), rep("~3p", 70), rep("4~5p", 40), rep("6~9p", 60), rep("10p~", 20), rep("~3p", 10), rep("4~5p", 10), rep("6~9p", 10), rep("10p~", 20)) SJL <- c(rep("~1h", 340), rep("1~2h", 80), rep("2h~", 10), rep("~1h", 390), rep("1~2h", 150), rep("2h~", 30)) d <- data.frame(Y, ATN, SJL)

[0107] [Odds ratio estimation code] RESULT <- glm(Y ~ ATN + SJL, data = d, family = binomial) exp(RESULT$coefficients)

[0108] As an example, the estimated odds ratio for the above hypothetical data is shown below (Table 1). From the estimated results, as shown in Figure 6, it can be seen that the odds ratio when ATN=10p~ is 1.60 compared to ATN=~3p. Similarly, it can be seen that the odds ratio when SJL=2h~ is 2.01 compared to SJL=~1h. Furthermore, the odds ratio when ATN=10p~ and SJL=2h~ is 1.60 x 2.01 = 3.21 compared to ATN=~3p and SJL=~1h.

[0109] [Table 1]

[0110] When outputting the sleep improvement information (S5), the above-mentioned sleep improvement message may be displayed together with the graph shown in Fig. 6 on the screen of the terminal 21, 22, 23. Furthermore, together with the graph shown in Fig. 6 and the above-mentioned sleep improvement message, the answer results regarding colds (questions No. 24 and No. 25), for example, a message saying "You have had a cold in the past six months," may be displayed together. Furthermore, together with the graph shown in Fig. 6 and the above-mentioned sleep improvement message, advice such as "Your sleeping habits make you 1.8 times more likely to catch a cold than a group with good sleeping conditions" may be displayed together.

[0111] In addition, when displaying the graphs shown in Figures 4 and 6, a graph calculated based on a database reflecting the data entered by the current user may be displayed, or a graph calculated based on a database before reflecting the data entered by the current user may be displayed. [Industrial Applicability]

[0112] INDUSTRIAL APPLICABILITY The present invention is industrially useful in that it can provide information for improving sleep that takes social jet lag into account. [Explanation of symbols]

[0113] 1. Sleep Information Processing System 10 Host Computer 11 Storage Devices 21, 22, 23 Terminal

Claims

1. inputting into a computer first time information I1 relating to a bedtime SOw when the subject's sleep started and a wake-up time SEw when the sleep ended on a workday of the subject, and second time information I2 relating to a bedtime SOf when the subject's sleep started and a wake-up time SEf when the sleep ended on a non-workday of the subject; calculating a sleep time variation parameter PL representing a sleep time variation based on the first time information I1 and the second time information I2 by the computer; inputting a physical condition parameter PB representing a physical condition of a subject into the computer; inputting a sleep state parameter P representing a sleep state of the subject into said computer; and outputting sleep improvement information by the computer using the sleep time variation parameter PL, the physical condition parameter PB, and the sleep state parameter PS.

2. 2. The sleep information processing method of claim 1, wherein a median sleep value MSw on workdays is calculated based on the first time information I1, a median sleep value MSf on non-workdays is calculated based on the second time information I2, and a value SJL obtained by subtracting the median sleep value MSw from the median sleep value MSf or its absolute value |SJL| is set as the sleep time variation parameter PL.

3. The sleep information processing method according to claim 1 , wherein the sleep state parameters PS are questionnaire results including at least one of sleep duration, sleep quality, and daytime sleepiness.

4. 2. The sleep information processing method according to claim 1, wherein the physical condition parameter PB is a result of a questionnaire including at least one of work productivity, physical condition, and mental condition.

5. On the computer, A function for inputting first time information I1 relating to a bedtime SOw when sleep started and a wake-up time SEw when said sleep ended on a working day of the subject, and second time information I2 relating to a bedtime SOf when sleep started and a wake-up time SEf when said sleep ended on a non-working day of the subject; a function of calculating a sleep time variation parameter PL representing a sleep time variation based on the first time information I1 and the second time information I2; A function of inputting a physical condition parameter PB representing the physical condition of the subject; A function of inputting a sleep state parameter PS representing the sleep state of the subject; A sleep information processing program for realizing a function of outputting sleep improvement information using the sleep time variation parameter PL, the physical condition parameter PB, and the sleep state parameter PS.

6. a first input means for inputting first time information I1 relating to a bedtime SOw when the subject's sleep started and a wake-up time SEw when the sleep ended on a workday, and second time information I2 relating to a bedtime SOf when the subject's sleep started and a wake-up time SEf when the sleep ended on a non-workday; a calculation means for calculating a sleep time variation parameter PL representing a sleep time variation based on the first time information I1 and the second time information I2; A second input means for inputting a physical condition parameter PB representing a physical condition of the subject; a third input means for inputting a sleep state parameter PS representing the sleep state of the subject; and an output unit for outputting sleep improvement information using the sleep time variation parameter PL, the physical condition parameter PB, and the sleep state parameter PS.

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