Intervention systems, intervention methods, intervention devices, mobile devices, programs, and food

Abstract

To effectively improve or prevent cognitive decline or frailty in test subjects. [Solution] The intervention device includes a portable terminal that acquires the amount of energy intake from protein based on the subject's dietary history information, a measuring device that acquires the amount of energy expenditure from the subject, and a processor, which is connected to the portable terminal and the measuring device in a communicative manner. The intervention device determines whether the subject needs to take measures to prevent cognitive decline or frailty based on the ratio of energy intake to energy expenditure, and if it is determined that there is a need to prevent cognitive decline or frailty, it instructs the portable terminal to take measures to intervene in the subject's diet.

Description

Technical Field

[0001] The present invention relates to an intervention system, an intervention method, an intervention device, a mobile terminal, a program, and a food product.

Background Art

[0002] Since dementia rarely recovers after onset, it is important to appropriately intervene before the onset of dementia. Currently, since drug therapy before the onset of dementia has not been established, improvement of lifestyle habits is the main means of intervention. Diet management is known as one of the methods for improving lifestyle habits, and a system for supporting diet management has been developed (for example, see Patent Document 1).

[0003] In addition, as a cause for the elderly to lose their social independence, in addition to the decline in cognitive function, frailty occurs in a state where physical and mental vitality (such as motor function) declines due to aging, and physical and mental vulnerability appears. Frailty is a state intermediate between the healthy state and the state requiring care (a state where support is required in daily life). It is considered that frailty progresses to the state requiring care, and it is important to notice frailty at an early stage and intervene correctly. For the prevention of such frailty, pharmaceuticals and food products have been developed (for example, see Patent Document 2).

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Patent Document 2

Summary of the Invention

Problems to be Solved by the Invention

[0005] In an aging society, the need to effectively improve or prevent decline in cognitive function or frailty is increasing.

[0006] This disclosure aims to provide intervention systems, intervention methods, intervention devices, mobile terminals, programs, and foods that can effectively improve or prevent cognitive decline or frailty. [Means for solving the problem]

[0007] To solve these problems, the intervention system of the present invention comprises a portable terminal that acquires the amount of energy intake from protein based on the subject's dietary history information, a measuring device that acquires the amount of energy expenditure from the subject, and an intervention device that includes a processor and is communicatively connected to the portable terminal and the measuring device. The intervention device determines, based on the ratio of energy intake to energy expenditure, whether or not there is a need to prevent cognitive decline or frailty in the subject, and if it is determined that there is a need to prevent cognitive decline or frailty, it instructs the portable terminal to perform a dietary intervention action for the subject.

[0008] The intervention method of the present invention is characterized in that an intervention device including a processor obtains the amount of energy intake from protein based on the subject's dietary history information, obtains the amount of energy expenditure from the subject, determines whether or not there is a need to prevent cognitive decline or frailty from the subject based on the ratio of energy intake to energy expenditure, and if it is determined that there is a need to prevent cognitive decline or frailty, performs a dietary intervention action on the subject.

[0009] In the present invention, it is preferable that the amount of energy intake is estimated by an energy intake estimation unit that estimates the amount of energy intake of protein by the subject based on the subject information of the subject.

[0010] In the present invention, it is preferable that the amount of energy consumed is estimated by an energy consumption estimation unit that estimates the amount of energy consumed by the subject based on the subject's attribute information.

[0011] In the present invention, it is preferable that the dietary intervention action is an action that promotes an increase or decrease in protein intake, depending on the degree of need to prevent cognitive decline or frailty.

[0012] In the present invention, it is preferable that the dietary intervention action is an action that encourages the intake of foods containing both animal protein and plant protein.

[0013] In the present invention, it is preferable that the dietary intervention action is an action that encourages the intake of foods containing animal protein, plant protein, imidazole dipeptide, and dietary fiber.

[0014] The intervention device of the present invention is characterized by comprising: an energy intake acquisition unit that acquires the amount of energy intake from protein based on the subject's dietary history information; an energy expenditure acquisition unit that acquires the amount of energy expenditure from the subject; a determination unit that determines whether or not there is a need to prevent cognitive decline or frailty in the subject based on the ratio of energy intake to energy expenditure; and an intervention unit that, if it is determined that there is a need to prevent cognitive decline or frailty, performs a dietary intervention action on the subject.

[0015] The present invention provides a portable terminal comprising: an energy intake acquisition unit that acquires the amount of energy intake from protein based on the subject's dietary history information; an energy expenditure acquisition unit that acquires the amount of energy expenditure from the subject; a determination unit that determines whether or not there is a need to prevent cognitive decline or frailty in the subject based on the ratio of energy intake to energy expenditure; and an intervention unit that, if it is determined that there is a need to prevent cognitive decline or frailty, performs a dietary intervention action for the subject.

[0016] The program of the present invention causes a computer to acquire the amount of protein intake energy based on the dietary history information of a subject, acquire the amount of energy consumed by the subject, and based on the ratio of the intake energy amount to the amount of energy consumed, determine whether there is a need to prevent cognitive function decline or frailty for the subject. When it is determined that there is a need to prevent cognitive function decline or frailty, a dietary intervention operation for the subject is executed.

[0017] The food of the present invention is a mixture of a plant protein containing a predetermined amount of dietary fiber and an animal protein containing a predetermined amount of imidazole dipeptide, integrated for preventing cognitive function decline or frailty, with a protein content of 5.0 g to 27.0 g or less per 100 g, and an animal protein content of 3.0 g to 20 g or less, an imidazole dipeptide content of 20 mg to 1000 mg or less, and a dietary fiber content of 1.5 g to 9.0 g.

Advantages of the Invention

[0018] The intervention system, intervention method, intervention device, mobile terminal, program, and food according to the present invention can effectively improve or prevent cognitive function decline or frailty.

Brief Description of the Drawings

[0019] [Figure 1] It is a diagram showing an example of the schematic configuration of the intervention system according to the first embodiment. [Figure 2] It is a block diagram showing the schematic configuration of the mobile terminal. [Figure 3] It is a block diagram showing the schematic configuration of the local server. [Figure 4] It is a block diagram showing the schematic configuration of the measuring device. [Figure 5] It is a block diagram showing the schematic configuration of the intervention device. [Figure 6] It is a sequence chart showing an example of the estimation process of the intake energy amount. [Figure 7]It is a flowchart showing an example of the estimated processing of the energy consumption amount. [Figure 8] It is a flowchart showing an example of the intervention processing. [Figure 9] It is a flowchart showing an example of the alert transmission in the intervention processing. [Figure 10] It is a diagram showing the components of two types of protein - fortified foods recommended in the dietary intervention process of Example 1. [Figure 11] It is a diagram showing the score (A) and graph (B) indicating the results of the delayed recall test (WMS) in Example 1. [Figure 12] It is a diagram showing the characteristics of the subjects to whom the protein - fortified food is provided in Example 2. [Figure 13] It is a diagram showing the frailty scores before and after the dietary intervention experiment in Example 2. [Figure 14] It is a diagram showing the scores of the experimental results for each cognitive item by the MоCA method in Example 2. [Figure 15] It is a diagram showing the scores of the experimental results for each cognitive item by the MоCA method. [Figure 16] It is a diagram showing the score changes of the intervention group and the control group in various cognitive function tests. [Figure 17] It is a diagram schematizing the results regarding MCI (mild cognitive impairment). [Figure 18] It is a diagram showing an example of the schematic configuration of the intervention system 1S according to the second embodiment. [Figure 19] It is a diagram showing an example of the attribute information input screen G1 for allowing the user to input the attribute information regarding the subject. [Figure 20] It is a diagram showing an example of the subject information input screen G2 for allowing the subject to input various personal information regarding the subject. [Figure 21] It is a flowchart showing an example of the dietary intervention process according to the second embodiment.

Mode for Carrying Out the Invention

[0020] <Embodiment> The following describes an intervention system relating to one aspect of the embodiment, with reference to the figures. However, it should be noted that the technical scope of the present invention is not limited to these embodiments, but extends to the invention described in the claims and its equivalents.

[0021] <First Embodiment> Figure 1 shows an example of a schematic configuration of an intervention system according to the first embodiment of the present invention.

[0022] As shown in Figure 1, intervention system 1 is a system that performs intervention actions to effectively improve or prevent cognitive decline or frailty in the user. Intervention system 1 includes a mobile terminal 100, a local server 150, measuring instruments 200, and an intervention device 300.

[0023] The mobile terminal 100, local server 150, measuring instrument 200, and intervention device 300 of intervention system 1 are connected to each other via network N so that they can communicate with one another. Network N is a wireless network such as a wireless LAN (Local Area Network). Network N may also be a wired network such as the Internet or an intranet.

[0024] Figure 2 shows a schematic configuration of the mobile terminal 100.

[0025] Mobile device 100 is a multi-functional mobile phone, also known as a smartphone, that has a wide variety of functions, such as a pedometer (registered trademark). Mobile device 100 may also be a notebook PC (Personal Computer), tablet PC, game console, etc.

[0026] The mobile terminal 100 includes a communication unit 101, an input unit 102, a display unit 103, an imaging unit 104, a storage unit 105, and a processing unit 110, etc. The communication unit 101, input unit 102, display unit 103, imaging unit 104, storage unit 105, and processing unit 110 are interconnected via a CPU (Central Processing Unit) bus or the like.

[0027] The communication unit 101 is a functional unit that enables the mobile terminal 100 to communicate with the local server 150, measuring instruments 200, and intervention devices 300, etc. The communication unit 101 has an antenna for transmitting and receiving wireless signals and a wireless communication interface circuit that conforms to communication protocols such as wireless LAN, Wi-Fi (registered trademark), Bluetooth (registered trademark), and AirDrop (registered trademark), and communicates with the network N according to the respective communication standards. The communication unit 101 transmits and receives data with the local server 150, measuring instruments 200, intervention devices 300, and external servers, etc., via the network N.

[0028] Furthermore, the communication unit 101 may have a wireless communication interface circuit conforming to communication standards such as LTE (Long Term Evolution) or 5G, and may communicate with network N via a base station. Alternatively, the communication unit 101 may have a wired communication interface circuit conforming to communication protocols such as TCP / IP (Transmission Control Protocol / Internet Protocol), and may communicate with network N in accordance with communication standards such as Ethernet (registered trademark).

[0029] The input unit 102 has a touch panel input device or other input devices such as a mouse, and an interface circuit that acquires signals from the input device, and outputs an operation signal corresponding to the user's input operation.

[0030] The display unit 103 is a functional unit that displays images. The display unit 103 has a display such as a liquid crystal or organic EL (Electro-Luminescence) and an interface circuit that outputs various images to the display, and displays images on the display based on various image data.

[0031] The imaging unit 104 is a visible-lens camera such as a CCD (Charge Coupled Device) image sensor or a CMOS (Complementary Metal Oxide Semiconductor) image sensor that captures the surrounding space and generates an image. The imaging unit 104 may also be an infrared camera. The imaging unit 104 captures images of any object such as food, landscapes, buildings, people, vehicles, etc., and sends the resulting image to the processing unit 110. In this case, the imaging unit 104 captures an image of the food eaten by the subject, stores the image of the food in the storage unit 105, and transmits it to the local server 150 via the communication unit 101. The image is a color image. The imaging unit 104 may also be an external imaging device connected to the mobile terminal 100 via a wired interface circuit such as USB (Universal Serial Bus) or a wireless interface circuit such as Bluetooth (registered trademark).

[0032] The storage unit 105 has a storage device consisting of memory such as RAM (Random Access Memory) and ROM (Read Only Memory). The storage unit 105 stores programs, databases, tables, etc., used for various processes of the mobile terminal 100. Programs may be installed into the storage unit 105 from a computer-readable portable recording medium using a known setup program or the like. Portable recording media include, for example, CD-ROM (compact disc read only memory) and DVD-ROM (digital versatile disc read only memory). Programs may also be stored on a predetermined recording medium and installed externally via the network N.

[0033] The processing unit 110 is a functional unit that comprehensively controls the operation of the mobile terminal 100 and comprises one or more processors and their peripheral circuits. The processing unit 110 operates based on a program pre-stored in the storage unit 105. The processor of the processing unit 110 is, for example, a CPU. A DSP (digital signal processor), LSI (large scale integration), ASIC (Application Specific Integrated Circuit), FPGA (Field-Programmable Gate Array), etc., may be used as the processor of the processing unit 110. The processing unit 110 is connected to the communication unit 101, input unit 102, display unit 103, imaging unit 104, and storage unit 105, etc., and controls each of these units.

[0034] The processing unit 110 includes an acquisition unit 111 and an output control unit 112. Each of these units is a functional module realized by the processing unit 110 executing a program. Each of these units may be implemented in the mobile terminal 100 as a dedicated processing circuit.

[0035] Figure 3 shows a schematic configuration of local server 150.

[0036] The local server 150 is a computer device capable of communicating with the mobile terminal 100, measuring instrument 200, and intervention device 300. The local server 150 may be a notebook PC (personal computer), tablet PC, etc.

[0037] The local server 150 has a communication unit 151, a storage unit 152, and a processing unit 160. The communication unit 151 and storage unit 152 have the same configuration as the communication unit 101 and storage unit 105 of the mobile terminal 100. The processing unit 160 has an acquisition unit 161, an energy intake estimation unit 162, and an output control unit 163. Each of these units is a functional module realized by the processing unit 160 executing a program. The acquisition unit 161 and output control unit 163 have the same configuration as the acquisition unit 111 and output control unit 112 of the processing unit 110 of the mobile terminal 100.

[0038] Figure 4 shows a schematic configuration of the measuring instrument 200.

[0039] The measuring device 200 is a multi-functional smartwatch, including a pedometer (registered trademark) function, that can communicate with the mobile terminal 100, the local server 150, and the intervention device 300. The measuring device 200 is not limited to a smartwatch; it may also be smart glasses, a smart ring, smart earphones, etc., as long as it is a wearable device with communication capabilities. If the measuring device 200 does not have communication capabilities, the data measured by the measuring device 200 may be transmitted to the local server 150 and the intervention device 300 via the mobile terminal 100.

[0040] The measuring instrument 200 includes a communication unit 201, an input unit 202, a display unit 203, a storage unit 204, a sensor unit 205, and a processing unit 210, etc. The communication unit 201, input unit 202, display unit 203, storage unit 204, sensor unit 205, and processing unit 210 are interconnected via a CPU bus or the like. The communication unit 201, input unit 202, display unit 203, and storage unit 204 of the measuring instrument 200 have the same configuration as the mobile terminal 100.

[0041] The sensor unit 205 of the measuring device 200 includes, for example, an acceleration sensor and a velocity sensor for detecting the subject's activity state. The sensor unit 205 operates in response to the subject's activities, such as walking or exercise, while the measuring device 200 is attached to the arm, waist, etc. The sensor unit 205 detects a sensor output signal corresponding to the subject's activity intensity at regular intervals and outputs it to the energy consumption estimation unit 212.

[0042] The processing unit 210 is a functional unit that comprehensively controls the operation of the measuring instrument 200, and includes a processor and its peripheral circuits. The processing unit 210 operates based on a program pre-stored in the storage unit 204. The processor of the processing unit 210 is, for example, a CPU, but a DSP, LSI, ASIC, FPGA, etc. may also be used.

[0043] The processing unit 210 includes an acquisition unit 211, an energy consumption estimation unit 212, and an output control unit 213. Each of these units is a functional module realized by the processing unit 210 executing a program. Each of these units may be implemented in the measuring instrument 200 as a dedicated processing circuit.

[0044] Figure 5 shows a schematic configuration of the intervention device 300.

[0045] The intervention device 300 is a server device capable of communicating with the mobile terminal 100, the local server 150, and the measuring instrument 200. The intervention device 300 may also be a computer device, a notebook PC (personal computer), a tablet PC, etc.

[0046] The intervention device 300 includes a communication unit 301, a storage unit 302, and a processing unit 310. The communication unit 301 and the storage unit 302 have the same configuration as the communication unit 151 and the storage unit 152 of the local server 150.

[0047] The processing unit 310 is a functional unit that comprehensively controls the operation of the intervention device 300, and comprises multiple processors and their peripheral circuits. The processing unit 310 operates based on a program pre-stored in the storage unit 302. The processing unit 310 includes an acquisition unit 311, a calculation unit 312, a determination unit 313, an intervention unit 314, and an output control unit 315. Each of these units is a functional module realized by the processing unit 310 executing a program. Each of these units may be implemented in the intervention device 300 as a dedicated processing circuit.

[0048] Figure 6 is a sequence chart showing an example of the process for estimating the amount of energy intake from protein, which is performed by the mobile terminal 100 and the local server 150.

[0049] The following describes an example of the process for estimating the energy intake of protein, referring to the sequence chart shown in Figure 6. The process described below is mainly executed by the processing unit 110 and processing unit 160 in cooperation with each element of each unit, based on a program stored in the storage unit 105 of the mobile terminal 100 and a program stored in the storage unit 152 of the local server 150.

[0050] First, the imaging unit 104 of the mobile terminal 100 captures an image of the subject's meal (step S101). The imaging unit 104 captures an image of the meal for each meal—breakfast, lunch, and dinner—and stores three images (for one day, three meals) in the storage unit 105. The images of the meals are an example of the subject's dietary history information. In other words, the images of the meals represent information about the history of the meals the subject actually ate. Note that instead of transmitting three images of meals corresponding to one day, the mobile terminal 100 may transmit an image of one meal. Alternatively, the mobile terminal 100 may store data generated by the subject manually entering their energy intake via the input unit 102 instead of images of the meals.

[0051] The output control unit 112 reads the images of a day's worth of meals captured by the imaging unit 104 from the storage unit 105 and transmits the images of a day's worth of meals to the local server 150 via the communication unit 101 (step S12). When the output control unit 112 transmits the images of a day's worth of meals to the local server 150, it may transmit the images captured for each meal to the local server 150 one by one, rather than transmitting all three images of a day's worth of meals (3 meals) at once.

[0052] The acquisition unit 161 of the local server 150 acquires the data by receiving images of a day's worth of meals from the mobile terminal 100 via the communication unit 151 (step S21). The acquisition unit 161 stores the images of a day's worth of meals received from the mobile terminal 100 in the storage unit 152 and outputs them to the energy intake estimation unit 162.

[0053] The energy intake estimation unit 162 estimates the amount of protein energy intake based on images of the subject's meals for one day (step S22). Based on a predetermined energy intake estimation program stored in the memory unit 152, the energy intake estimation unit 162 calculates the amount of protein energy intake contained in each image of the meals for one day and sums them up to calculate the amount of protein energy intake equivalent to one day. The energy intake estimation unit 162 stores the calculated amount of protein energy intake for one day in the memory unit 152.

[0054] The output control unit 163 transmits the daily protein intake energy amount to the mobile terminal 100 via the communication unit 151 (step S23). This completes the processing on the local server 150.

[0055] The acquisition unit 111 of the mobile terminal 100 acquires the subject's daily protein intake energy amount by receiving it from the local server 150 via the communication unit 101 (step S13). The acquisition unit 111 stores the acquired daily protein intake energy amount in the storage unit 105.

[0056] The output control unit 112 transmits the daily protein intake energy amount to the intervention device 300 via the communication unit 101 (step S14). This completes the processing in the mobile terminal 100.

[0057] The mobile terminal 100 may also have an energy intake estimation unit 162 of the local server 150. In this case, the mobile terminal 100 can estimate the daily protein intake energy amount based on the image of the meal and transmit it to the intervention device 300 without going through the local server 150.

[0058] Figure 7 is a flowchart showing an example of a process for estimating the amount of energy consumed by a measuring instrument.

[0059] The acquisition unit 211 of the measuring device 200 acquires sensor output signals detected by the sensor unit 205 in accordance with the subject's activities such as walking and exercise while the subject is wearing the measuring device 200 (step S31). The acquisition unit 211 stores the sensor output signals detected by the sensor unit 205 in the storage unit 204 and also outputs them to the energy consumption estimation unit 212.

[0060] The energy consumption estimation unit 212 estimates the subject's daily energy consumption based on the sensor output signal detected by the sensor unit 205 (step S32). The energy consumption estimation unit 212 estimates the daily energy consumption (calories burned) by calculating it according to the algorithm of a predetermined energy consumption calculation program using values ​​such as heart rate, steps, distance, and activity intensity indicated by the sensor output signal. The energy consumption estimation unit 212 stores the estimated daily energy consumption in the storage unit 204.

[0061] The output control unit 213 transmits the subject's daily energy consumption amount to the intervention device 300 via the communication unit 201 (step S33). This completes the processing in the measuring instrument 200.

[0062] Figure 8 is a flowchart showing an example of an intervention process in an intervention device.

[0063] The acquisition unit 311 of the intervention device 300 acquires the amount of energy intake of the subject for one day by receiving it from the mobile terminal 100 via the communication unit 301 (step S41). The acquisition unit 311 stores the acquired amount of energy intake of the subject for one day in the storage unit 302.

[0064] The acquisition unit 311 acquires the amount of energy consumed by the subject for one day by receiving it from the measuring instrument 200 via the communication unit 301 (step S42). The acquisition unit 311 stores the acquired amount of energy consumed for one day in the storage unit 302. The acquisition unit 311 may perform the processing in step S41 and step S42 simultaneously, or it may perform the processing in step S42 before the processing in step S41.

[0065] The calculation unit 312 calculates the ratio of protein intake to the subject's daily energy expenditure (step S43). The calculation unit 312 calculates the value obtained by dividing the protein intake by the energy expenditure as a percentage (%) and stores this ratio in the storage unit 302. The calculation unit 312 may also calculate the ratio of protein intake to the energy expenditure per meal, rather than per day.

[0066] The determination unit 313 determines whether or not a dietary intervention is necessary for the subject (step S44). The determination unit 313 determines whether or not a dietary intervention is necessary for the subject based on the ratio of protein intake to the subject's total daily energy expenditure. Incidentally, the determination unit 313 may also determine whether or not a dietary intervention is necessary based on the ratio of protein intake to the total energy expenditure per meal, rather than per day.

[0067] The determination unit 313 can classify a subject into either the high-cereal diet group (HC (High Cereal) group) or the high-protein balance diet group (PB (Protein Balance) group) based on the proportion of protein intake to the subject's total daily energy expenditure. Specifically, the determination unit 313 determines that a subject belongs to the HC group if the proportion of protein intake is below a predetermined threshold, and to the PB group if the proportion exceeds the threshold. The HC group consists of subjects whose energy intake from grains is high, among the total energy intake from grains, legumes, green and yellow vegetables, other vegetables, fish and shellfish, meat, and eggs. The PB group consists of subjects whose energy intake from legumes, green and yellow vegetables, other vegetables, fish and shellfish, meat, and eggs is relatively high, excluding grains, and whose protein intake is high.

[0068] Generally, subjects belonging to the PB group have been found to maintain higher cognitive function compared to subjects belonging to the HC group. Therefore, subjects belonging to the HC group are considered to have a greater need to improve or prevent cognitive decline or frailty. For this reason, the judgment unit 313 determines that dietary interventions to encourage protein intake are necessary, mainly for subjects belonging to the HC group. On the other hand, the judgment unit 313 determines that dietary interventions to maintain protein intake are necessary for subjects belonging to the PB group.

[0069] Incidentally, the determination unit 313 can classify whether a subject belongs to the HC group or the PB group using a dietary pattern classification model based on the estimated intake of 100 nutrients using the BDHQ (Brief-type Self-administered Diet History Questionnaire). The BDHQ is a method of investigating dietary history using a questionnaire that includes fields for recording personal characteristics, eating behavior, etc., in addition to food intake (for example, S. Sasaki et al, Self-administered diet history questionnaire developed for health education: a relative validation of the test-version by comparison with 3-day diet record in women, Journal of Epidemiology, vol.8, no.4, p.203-215, 1998).

[0070] In this case, the determination unit 313 determines whether there is a need to prevent cognitive decline or frailty through dietary intervention for subjects, regardless of whether they belong to the PB group or the HC group. However, the determination unit 313 may perform the dietary intervention only for subjects in the HC group. In this case, the dietary intervention can be performed efficiently.

[0071] If the determination unit 313 determines that it is unnecessary to perform a dietary intervention (step S44: NO), the intervention unit 314 reads a predetermined message stored in the memory unit 302 and transmits that message to the mobile terminal 100 via the communication unit 301 (step S45). The intervention unit 314 sends a message to the mobile terminal 100 recommending the continuation of the current diet, such as, "You are already consuming protein in a balanced way. Please continue this habit to maintain your protein intake." The output control unit 112 of the mobile terminal 100 notifies the subject by displaying this message on the display unit 103.

[0072] If the determination unit 313 determines that it is necessary to perform a meal intervention (step S44: YES), the intervention unit 314 performs the meal intervention process for the subject on the mobile terminal 100 (step S46). This meal intervention process will be described later.

[0073] Figure 9 is a flowchart showing an example of alert transmission during a dietary intervention process. The dietary intervention process shown in Figure 9 is performed in step S46 of Figure 8.

[0074] The intervention unit 314 determines whether the ratio of protein intake to the subject's daily energy expenditure, calculated by the calculation unit 312 in step S43, is 13% or less (step S51).

[0075] If the percentage is 13% or less (step S51: YES), the intervention unit 314 reads the first alert from the storage unit 302 and sends the first alert to the mobile terminal 100 via the communication unit 301 (step S52). This allows the intervention unit 314 to instruct the subject to perform a meal intervention action via the first alert.

[0076] The intervention unit 314 sends a message to the mobile terminal 100 as a first alert, for example, "Your average daily protein intake is low. Why not try to consume foods rich in protein?" This message encourages a significant increase in protein intake. The output control unit 112 of the mobile terminal 100 displays this message on the display unit 103, thereby recommending that the subject consume foods rich in protein. In other words, the output control unit 112 performs a dietary intervention action for the subject.

[0077] The intervention unit 314 determines whether the ratio of protein intake to the total daily energy expenditure is within the range of 13% to 15% (step S53) if the ratio exceeds 13% (step S51: NO).

[0078] If the percentage is within the range of 13% to 15% (step S53: YES), the intervention unit 314 reads the second alert from the storage unit 302 and sends the second alert to the mobile terminal 100 via the communication unit 301 (step S54). This allows the intervention unit 314 to instruct the subject to perform a meal intervention action via the second alert.

[0079] The intervention unit 314 sends a message to the mobile terminal 100 as a second alert, for example, "Your average daily protein intake is slightly low. Why not try to consume more protein-rich foods?" This message encourages the subject to slightly increase their protein intake. The output control unit 112 of the mobile terminal 100 displays this message on the display unit 103, thereby recommending that the subject consume protein-rich foods. In other words, the output control unit 112 performs a dietary intervention action for the subject.

[0080] The intervention unit 314 determines whether the ratio of protein intake to the total daily energy expenditure is within the range of 15% to 20% (step S55) if the ratio exceeds 15% (step S53: NO).

[0081] If the percentage is within the range of 15% to 20% (step S55: YES), the intervention unit 314 reads the third alert from the storage unit 302 and transmits the third alert to the mobile terminal 100 via the communication unit 301 (step S56). This allows the intervention unit 314 to instruct the subject to perform a meal intervention action via the 31st alert.

[0082] The intervention unit 314 sends a message to the mobile terminal 100 as a third alert, for example, "Your average daily protein intake is just right. Please continue at this pace," informing the subject that their protein intake is sufficient. The output control unit 112 of the mobile terminal 100 notifies the subject that their protein intake is neither excessive nor insufficient by displaying this message on the display unit 103.

[0083] If the proportion of protein intake to the total daily energy expenditure exceeds 20% (step S55: NO), the intervention unit 314 reads the fourth alert from the storage unit 302 and transmits the fourth alert to the mobile terminal 100 via the communication unit 301 (step S57). This allows the intervention unit 314 to instruct the subject to perform a dietary intervention action via the fourth alert.

[0084] The intervention unit 314 sends a message to the mobile terminal 100 as a fourth alert, for example, "Your average daily protein intake may be slightly high," encouraging the subject to slightly reduce their protein intake. The output control unit 112 of the mobile terminal 100 notifies the subject that their protein intake is slightly excessive by displaying this message on the display unit 103. In other words, the output control unit 112 executes a dietary intervention action for the subject.

[0085] Such dietary intervention is performed after calculating the percentage of energy intake from protein after all meals for the day have been completed. The intervention device 300 may also perform the dietary intervention after one meal has been completed. Alternatively, the intervention device 300 may calculate the percentage of energy intake from protein over a certain period of time (for example, one week or one month), and then perform the dietary intervention weekly or monthly using the average value of that percentage.

[0086] In this way, the intervention device 300 can encourage the subject to increase or decrease their protein intake by sending a first to fourth alert as a dietary intervention action, depending on the degree of need to improve or prevent cognitive decline or frailty. As a result, the intervention system 1 can recommend an appropriate protein intake to the subject, thereby effectively improving or preventing cognitive decline or frailty in the subject.

[0087] As detailed above, the intervention device 300 of intervention system 1 determines whether or not there is a need to improve or prevent cognitive decline or frailty in the subject, and if it is determined that there is a need, it instructs the mobile terminal 100 to perform a meal intervention action for the subject. In this way, the intervention device 300 can instruct a meal intervention action only for subjects who have a need to improve or prevent cognitive decline or frailty, and thus can effectively improve or prevent cognitive decline or frailty in the subjects.

[0088] (Example 1) In Example 1, 20 subjects in the HC group were given two types of protein-rich foods recommended for dietary intervention (hereinafter referred to as "protein-fortified foods"), and then underwent a delayed recall test using the Wechsler Memory Scale (WMS), a cognitive function test. A delayed recall test measures verbal memory by having subjects memorize a text that is, for example, a story, and then recall it after a certain period of time has elapsed.

[0089] Figure 10 shows the components of two types of protein-fortified foods recommended in the dietary intervention treatment of Example 1.

[0090] Protein-fortified foods include plant-based foods that mainly contain dietary fiber and plant-based protein, and animal-plant-based foods (hereinafter referred to as "animal-plant-based foods") that are a mixture of both plant-based foods that mainly contain dietary fiber, plant-based protein, and animal-based protein that contains imidazole dipeptides. In Example 1, the plant-based protein used was soy protein, and the animal-based protein used was chicken breast. The protein content per 100g of plant-based food was 15.7g, and it contained 100% soy protein. The protein content per 100g of animal-plant-based food was 17.1g, and it consisted of 50% plant-based protein and 50% animal-based protein. Animal-plant-based foods are just one example of food.

[0091] The amount of imidazole dipeptide per 100g of plant-based food is 0mg, while the amount of imidazole dipeptide per 100g of animal and plant-based food is 235.6mg. The amount of dietary fiber per 100g of plant-based food is 4.0g, while the amount of dietary fiber per 100g of animal and plant-based food is 2.5g.

[0092] Plant-based foods containing dietary fiber and plant protein may include legumes such as soybeans, kidney beans, and edamame; grains such as oats, barley, corn, buckwheat, and wheat; mushrooms such as shiitake, enoki, and wood ear mushrooms; or cultures of filamentous fungi such as Aspergillus or Fusarium. Dietary fiber may also be added.

[0093] Foods containing imidazole dipeptides and animal proteins may be livestock and aquatic products such as beef, pork, chicken, and fish, and imidazole dipeptides may be added to these foods. For example, foods that are rich in imidazole dipeptides include chicken, pork, beef, bonito, tuna, salmon, whale, and eel.

[0094] The amount of protein contained in animal and plant-based foods is preferably 5.0g to 27.0g per 100g, more preferably 12.0g to 22.0g, and even more preferably 15.0g to 20.0g. The mass percentage of animal protein is preferably 3.0g to 20.0g per 100g, more preferably 4.0g to 14.0g, and even more preferably 6.0g to 12.0g. The mass range of imidazole dipeptide per 100g of animal and plant-based foods is preferably 20 to 1000mg, more preferably 100mg to 1000mg, and even more preferably 200mg to 1000mg. The amount of dietary fiber per 100g of animal and plant-based foods is preferably 1.5g to 9.0g, more preferably 2.0g to 7.0g, and even more preferably 2.0g to 4.0g. Imidazole dipeptides and dietary fiber can also be added as additives.

[0095] In Example 1, 20 subjects belonging to the HC group were divided into two groups: a plant-based food group of 10 subjects who supplemented their daily diet with plant-based foods as protein-fortified foods, and an animal- and plant-based food group of 10 subjects who supplemented their daily diet with only animal- and plant-based foods as protein-fortified foods, ensuring no significant differences in age, sex ratio, years of education, or BMI. A delayed retrieval study (WMS) was then conducted. The study period was one month. The plant-based food group and the animal- and plant-based food group were each provided with protein-fortified foods that allowed for the supplementation of 16.2g of plant-based or animal- and plant-based protein per day in addition to their normal diet. The protein-fortified food was meatballs, with 6 meatballs equivalent to 16.2g of protein per day. No email alerts were provided.

[0096] Figure 11 shows the scores (A) and graph (B) of the delayed regeneration test (WMS) in Example 1.

[0097] As shown in Figures 11(A) and (B), when comparing scores on the delayed recall test (WMS), a cognitive function test, before and after a one-month dietary intervention, the scores of the animal and plant-based food group showed a greater improvement than those of the plant-based food group. The p-value, which indicates the difference in the change in WMS scores between before and after the dietary intervention, was 0.035 (less than 0.05), confirming a significant difference in WMS scores between the plant-based food group and the animal and plant-based food group.

[0098] (Example 2) In Example 2, subjects in the intervention group were given protein-fortified foods containing a high amount of protein, while subjects in the control group were not given protein-fortified foods. The experiment measured frailty scores over a period of four months. The intervention group refers to several subjects who were to be instructed to perform dietary intervention actions. The intervention action is the provision of protein-fortified foods and the sending of alerts regarding protein intake. The control group refers to several subjects who were not instructed to perform dietary intervention actions. In this case, those in the intervention group who wished to do so were provided with protein-fortified foods that provided 16.2g of protein per day to supplement their protein intake. The protein-fortified foods were the same as the animal and plant-based foods described in Example 1. The product provided as protein-fortified foods was meatballs, and 16.2g of protein per day is equivalent to six meatballs. The provided items are just examples of food. A total of four alerts were sent. The first alert was sent on the intervention start date, based on dietary data from the seven days prior to the intervention. The second alert was sent one month after the start, the third two months after, and the fourth three months after.

[0099] In Example 2, the intervention group included 115 subjects and the control group included 100 subjects. The screening test targeted men who met one or more frailty criteria and had a BMI (Body Mass Index) of 20 or less (65-69 years old), 21.5 or less (70 years and older), and a Simplified Menopausal Index (SMI) of 7 or less, and women with an SMI of 5.7 or less. In other words, all subjects suspected of being frail or pre-frail, as well as sarcopenia, were included. In Example 2, the frailty score before the experiment (hereinafter referred to as the "frailty score") was compared with the frailty score after 4 months of the experiment for verification.

[0100] Figure 12 shows the characteristics of subjects who were provided with protein-fortified food in Example 2.

[0101] As shown in Figure 12, the study included 115 subjects in the intervention group and 100 subjects in the control group. The p-values ​​for age, sex, years of education, BMI, and ApoE4 gene carrier status were all 0.05 or higher, indicating no significant difference between the intervention and control groups. The ApoE4 gene is a major susceptibility gene for Alzheimer's disease.

[0102] Figure 13 shows the frailty scores before and after the dietary intervention experiment in Example 2.

[0103] Figure 13 shows the mean and standard deviation of frailty scores measured for subjects in the intervention group and the control group before and after the experiment. A higher frailty score indicates a more advanced stage of frailty. Therefore, a decrease in the frailty score after consuming protein-rich foods compared to before consumption indicates that the dietary intervention improved the symptoms of frailty.

[0104] In this case, the frailty score was shown to improve more significantly in the intervention group than in the control group. The p-value for the difference in the change in frailty score between the intervention group and the control group was 0.013 (less than 0.05), indicating a significant difference in frailty scores between the two groups. Therefore, it was confirmed that intervention system 1 can effectively improve and prevent frailty by having subjects in the intervention group consume protein-fortified foods rich in protein through dietary intervention.

[0105] Figure 14 shows the experimental results of a cognitive function test using the MoCA (Montreal Cognitive Assessment) method. Figure 15 shows the experimental results scores for each cognitive item using the MoCA method.

[0106] The MoCA method is a screening test for MCI (Mild Cognitive Impairment), and a score of 25 or less out of 30 points suggests MCI. As shown in Figure 14, cognitive function tests before and after the intake of protein-fortified foods showed that the mean score for the intervention group after intake was 26.6 ± 2.5 points, while the control group scored 25.7 ± 2.8 points. The mean MoCA score was significantly higher in the intervention group compared to the control group. The p-value, which indicates the difference in the change in cognitive function test scores between the intervention group and the control group, was 0.001 (less than 0.05), confirming that the intervention group more effectively improved MoCA scores than the control group.

[0107] Figure 15 shows the mean and standard deviations for each cognitive item in the MoCA cognitive function test, measured for subjects in the intervention group and the control group before and after the experiment. The cognitive items of the MoCA test include visuospatial / executive systems, naming, attention, language, abstract concepts, delayed recall, and orientation.

[0108] This experiment shows that, among several cognitive items, particularly language and attention, the intervention group's scores significantly improved compared to the control group's scores before and after the experiment. In this case, the p-value for the difference in the change in language score between the intervention group and the control group was 0.027 (less than 0.05), and the p-value for the difference in the change in attention score was 0.008, indicating a significant difference in language and attention scores between the two groups. Therefore, it was confirmed that intervention system 1 can effectively prevent and improve the decline in cognitive function (language ability and attention ability) by having subjects in the intervention group ingest protein-fortified foods through dietary intervention.

[0109] Furthermore, cognitive function tests are not limited to the MoCA method; they may include various paid or free cognitive function tests implemented or provided by government or private organizations, and may include future cognitive function tests capable of measuring language or attention-related cognitive functions. For example, CogEvo, a cloud service that allows for cognitive function checks, has been evaluated as an effective screening tool for cognitive function, particularly mild / moderate cognitive decline. (For example, Y. Sawada et al, Validity and reliability of a computerized cognitive function evaluation battery (CogEvo) as a screening tool, Psychiatry Clin. Neurosci. Rep. 2023;2:e67.)

[0110] Figure 16 shows the changes in scores between the intervention group and the control group in various cognitive function tests.

[0111] As shown in Figure 16, the cognitive function score change in the intervention group provided with protein-fortified foods was significantly improved compared to the control group in the MoCA method (p-value: 0.001). Furthermore, as shown in Figure 16, the score change in the WMS (Delayed Recall Test) was significantly improved in the intervention group provided with protein-fortified foods compared to the control group (p-value: 0.042).

[0112] Figures 17(A) to (C) are schematic diagrams illustrating the results regarding MCI (Mild Cognitive Impairment). Figure 17(A) shows the distribution of the percentage change in MCI in the intervention group. Figure 17(B) shows the distribution of the percentage change in MCI in the control group. Figure 17(C) shows the number of people corresponding to the distributions in Figures 17(A) and (B) out of 115 people in the intervention group and 100 people in the control group.

[0113] As shown in Figure 17(A), the distribution of cognitively normal individuals (CN) and mild cognitive impairment (MCI) in the intervention group was as follows: 25% improved from MCI to CN, 21% showed no change in MCI, 49% showed no change in CN, and 5% worsened from CN to MCI.

[0114] On the other hand, as shown in Figure 17(B), in the control group, 15% improved from mild cognitive impairment (MCI) to cognitively normal (CN), 31% showed no change in mild cognitive impairment (MCI), 45% showed no change in cognitively normal (CN), and 9% worsened from cognitively normal (CN) to mild cognitive impairment (MCI).

[0115] As shown in Figure 17(C), in the assessment of the transition to mild cognitive impairment (MCI), the improvement in the eating intervention between the intervention group and the control group was statistically significant, with a p-value of 0.042 (less than 0.05) as measured by the Cochrane-Armitage test.

[0116] Therefore, it is effective to encourage subjects to consume animal and plant-based foods (protein-fortified foods) containing both plant-based protein with dietary fiber and animal-based protein with imidazole dipeptides as a dietary intervention. As a result, in intervention system 1, improvements in cognitive function and verbal memory function were confirmed in subjects when the intervention device 300 recommended the consumption of animal and plant-based foods (protein-fortified foods).

[0117] Thus, considering the experimental results of Example 1 and Example 2, intervention system 1 showed that the frailty scores of subjects in the intervention group who consumed protein-fortified foods containing a high amount of protein improved, and in particular, the scores for cognitive function using the MoCA method and verbal memory function using WMS delayed recall also improved significantly in subjects in the intervention group who consumed animal and plant-based foods (protein-fortified foods).

[0118] In other words, intervention system 1 can effectively prevent cognitive decline and improve frailty by performing a dietary intervention action of having subjects in the intervention group consume animal and plant-based foods (protein-fortified foods) that contain both plant-based and animal-based proteins. Thus, animal and plant-based foods (protein-fortified foods) that contain a mixture of both plant-based proteins and animal-based proteins containing imidazole dipeptides are particularly effective in preventing cognitive decline and improving frailty in subjects in the intervention group.

[0119] <Second Embodiment> Figure 18 shows an example of a schematic configuration of intervention system 1S according to a second embodiment of the present invention.

[0120] As shown in Figure 18, the intervention system 1S in the second embodiment is also a system that effectively improves or prevents cognitive decline or frailty in the user. The intervention system 1S has a mobile terminal 100 and an intervention device 300. However, the intervention system 1S does not have a local server 150 and measuring equipment 200. The configuration of the mobile terminal 100 and the intervention device 300 is basically the same as in the first embodiment, but the mobile terminal 100 has an energy intake estimation unit 162 of the local server 150 and an energy consumption estimation unit 212 of the measuring equipment 200.

[0121] Figure 19 shows an example of an attribute information input screen G1, which allows the user to input attribute information about the test subject.

[0122] The attribute information input screen G1 is pre-stored in the storage unit 105 of the mobile terminal 100. The attribute information input screen G1 is a screen for receiving input of attribute information about the subject and is displayed on the display unit 103 by the output control unit 112. The acquisition unit 111 of the mobile terminal 100 receives input of personal attribute information about the subject via the attribute information input screen G1. Attribute information includes, for example, gender, age, weight, height, body fat percentage, etc. Further attribute information such as BMI and years of education may be added, and some attribute information may be deleted.

[0123] The subject's attribute information is information that reflects the selection results of multiple items entered by the input unit 102 via the attribute information input screen G1 for each subject. The acquisition unit 111 generates an attribute information table (not shown) that associates the values ​​of multiple items with the subject ID and stores it in the storage unit 105.

[0124] Figure 20 shows an example of the subject information input screen G2, which allows subjects to input various personal information about themselves (hereinafter referred to as "subject information").

[0125] The subject information input screen G2 is pre-stored in the storage unit 105 of the mobile terminal 100. The subject information input screen G2 is a screen for receiving subject information input from the subject and is displayed on the display unit 103 by the output control unit 112. The acquisition unit 111 of the mobile terminal 100 receives subject information input via the subject information input screen G2. Subject information includes, for example, age, gender, degree of activity level reduction, mental health status, level of financial security, number of times chicken is consumed, number of times fish is consumed, etc. Subject information may also include the number of times eggs are consumed, the number of times pork is consumed, the number of times beef is consumed, etc., and some of the subject information may be deleted.

[0126] The decrease in activity level on the subject information input screen G2 is an item determined according to the subject's level of activity. Mental health status is an item determined according to the subject's satisfaction with their life. Economic security is an item determined according to the subject's economic satisfaction with their life. The frequency of chicken and fish consumption is an item determined according to the subject's consumption frequency.

[0127] The subject information is information that reflects the selection results of multiple items entered by the input unit 102 on the subject information input screen G2 for each subject. The acquisition unit 111 generates a subject information table (not shown) that associates the values ​​of the above-mentioned multiple items with the subject ID and stores it in the storage unit 105.

[0128] The subject information table is generated by inputting the values ​​of multiple items selected via the subject information input screen G2 into a predetermined subject information calculation program. The subject information calculation program is a program that generates and outputs a subject information table that reflects the values ​​of multiple items for each subject ID, based on the values ​​of multiple items entered via the subject information input screen G2.

[0129] Figure 21 is a flowchart showing an example of a dietary intervention according to the second embodiment.

[0130] The acquisition unit 111 of the mobile terminal 100 acquires the subject's attribute information by reading the values ​​in the attribute information table stored in the storage unit 105, and also acquires the subject's subject information by reading the values ​​in the subject information table stored in the storage unit 105 (step S61).

[0131] The energy intake estimation unit 162 of the mobile terminal 100 estimates the amount of energy intake from protein by the subject using subject information and stores it in the memory unit 105 (step S62). The energy intake estimation unit 162 uses the subject's protein intake as the dependent variable and the subject information such as age, sex, degree of activity reduction, mental health status, economic security, frequency of chicken consumption, and frequency of fish consumption as independent variables to estimate the amount of energy intake from protein using a stepwise multiple regression model. The multiple regression model is a model that estimates the amount of energy intake from protein converted to BDHQ using the above-mentioned independent variables.

[0132] However, the energy intake estimation unit 162 may estimate the protein intake energy amount by various other methods. For example, the energy intake estimation unit 162 may use a pre-trained model that outputs the protein intake energy amount when the subject information such as age, sex, degree of activity level reduction, mental health status, level of financial security, number of times chicken is consumed, and number of times fish is consumed is input. This pre-trained model is pre-trained using multiple datasets of subject information and protein intake energy amount and stored in the memory unit 105.

[0133] The energy consumption estimation unit 212 of the mobile terminal 100 estimates the subject's energy consumption using attribute information (step S63). The energy consumption estimation unit 212 calculates the basal metabolic rate (BMR) using a predetermined calculation formula with the values ​​of gender, age, weight, height, and body fat percentage from the attribute information table. The energy consumption estimation unit 212 estimates the subject's energy consumption by multiplying the basal metabolic rate (BMR) by a predetermined coefficient corresponding to gender and age, and stores it in the storage unit 105.

[0134] However, the energy consumption estimation unit 212 may estimate the amount of energy consumed by various other methods. For example, the energy consumption estimation unit 212 may use a pre-trained model that outputs the amount of energy consumed by a subject when the value of the degree of decrease in activity and the basal metabolic rate (BMR) in the subject information are input. This pre-trained model is pre-trained using multiple datasets of the value of the degree of decrease in activity, the basal metabolic rate (BMR), and the amount of energy consumed, and is stored in the storage unit 105.

[0135] The mobile terminal 100 may perform the protein intake energy estimation process (step S62) and the energy expenditure estimation process (step S63) simultaneously, or it may perform the estimation process in step S63 before the estimation process in step S62.

[0136] The output control unit 112 transmits the estimated amount of protein intake and energy expenditure to the intervention device 300 via the communication unit 101 (step S64).

[0137] The acquisition unit 311 of the intervention device 300 acquires the amount of energy intake and energy expenditure of protein from the mobile terminal 100 via the communication unit 301, stores it in the storage unit 302, and outputs it to the calculation unit 312.

[0138] The calculation unit 312 calculates the ratio of protein intake to the total daily energy expenditure as a percentage (%), similar to step S43 in Figure 8 (step S71).

[0139] The determination unit 313 determines whether or not a dietary intervention is necessary for the subject, similar to step S44 in Figure 8 (step S72). The determination unit 313 determines whether or not a dietary intervention is necessary based on the ratio of the subject's protein intake to their total energy expenditure.

[0140] If the determination unit 313 determines that no meal intervention is necessary (step S72: NO), the intervention unit 314 reads a message previously stored in the memory unit 302, similar to step S45 in Figure 8. The output control unit 315 sends a message to the mobile terminal 100 via the communication unit 301 recommending that the current meal content be continued (step S73).

[0141] The output control unit 112 of the mobile terminal 100 receives a message from the intervention device 300 via the communication unit 101 and displays it on the display unit 103 (step S65). As a result, the mobile terminal 100 notifies the subject via the message displayed on the display unit 103 that it is recommended to continue the current diet (step S65).

[0142] On the other hand, if the determination unit 313 determines that a meal intervention is necessary (step S72: YES), the intervention unit 314 executes the meal intervention process (step S74) in the same manner as step S46 in Figure 8. This meal intervention process is the same as the flowchart shown in Figure 9.

[0143] As shown in Figure 9, the output control unit 112 of the mobile terminal 100 receives one of the first to fourth alerts transmitted from the intervention device 300 and displays it on the display unit 103 (step S65), according to the degree of need to improve or prevent cognitive decline or frailty (the ratio of protein intake to energy expenditure). This allows the intervention device 300 to instruct the subject of the mobile terminal 100 to perform appropriate dietary intervention actions.

[0144] As detailed above, even in the absence of a local server 150 and measuring instrument 200, the mobile terminal 100 of the intervention system 1S can estimate the subject's energy expenditure via the attribute information input screen G1 and estimate the protein intake energy amount via the subject information input screen G2, and transmit this information to the intervention device 300.

[0145] As a result, the mobile terminal 100 in intervention system 1S does not need to capture images of the food using the imaging unit 104 and transmit them to the local server 150. Furthermore, intervention system 1S does not need to calculate the amount of energy consumed using the measuring instrument 200. Therefore, intervention system 1S can be constructed with a simple system configuration consisting only of the mobile terminal 100 and the intervention device 300. In intervention device 300 of intervention system 1S, as in the first embodiment, it is possible to appropriately instruct the subject on eating intervention actions and effectively improve or prevent cognitive decline or frailty in the subject.

[0146] Furthermore, intervention system 1S may also have a system configuration that combines a local server 150 with the mobile terminal 100 and intervention device 300. In this case, the mobile terminal 100 does not need to estimate the subject's protein intake energy amount from the subject information, but rather needs to acquire the protein intake energy amount estimated by the intake energy amount estimation unit 162 of the local server 150 based on the image of the food, and transmit it to the intervention device 300.

[0147] Furthermore, intervention system 1S may also have a system configuration that combines the mobile terminal 100 and intervention device 300 with a measuring instrument 200. In this case, the mobile terminal 100 does not estimate the subject's energy consumption from attribute information, but rather the energy consumption estimation unit 212 of the measuring instrument 200 calculates the subject's energy consumption based on the sensor output signal and transmits it to the intervention device 300.

[0148] <Other Embodiments> The mobile terminal 100 has the sensor unit 205 and energy consumption estimation unit 212 of the measuring instrument 200, and the intervention device 300 has the calculation unit 312, determination unit 313 and intervention unit 314, so that the meal intervention can be performed by the mobile terminal 100 alone. In this case, since the meal intervention can be performed by the mobile terminal 100 alone, there is no need to build a system, and it is possible to effectively improve or prevent cognitive decline or frailty in the subject by using only the mobile terminal 100.

[0149] The intervention device 300 determines whether the subject needs to improve or prevent cognitive decline or frailty, and if it determines that there is a need, it prompts the subject to increase or decrease their protein intake via the mobile terminal 100. However, the intervention device 300 is not limited to this and may perform dietary intervention by providing recipes to increase protein intake or menus that serve as a guideline for dietary improvement.

[0150] In the second embodiment, the acquisition unit 111 of the mobile terminal 100 estimated the amount of energy intake from protein by the subject based on the subject information corresponding to the input result of the subject information input screen G2. However, the embodiment is not limited to this, and the amount of energy intake from protein may be estimated using the multiple regression model described above, by adding the amount of energy consumed per day estimated by the energy consumption estimation unit 212 of the measuring instrument 200 to the subject information.

[0151] Those skilled in the art will understand that various changes, substitutions, and modifications can be made without departing the scope of the present invention. For example, the first embodiment, the second embodiment, and other embodiments described above may be combined as appropriate within the scope of the present invention. [Explanation of Symbols]

[0152] 1. 1S Intervention System 100 mobile devices 101,151,201,301 Communications Department 104 Imaging Unit 105,152,204,302 Storage section 111,161,211,311 Acquisition Department 112,163,213,315 Output control unit 162 Energy intake estimation unit 205 Sensor section 212 Energy Consumption Estimation Unit 312 Calculation Unit 313 Judgment section 314 Intervention Department

Claims

1. A mobile device that acquires the amount of energy intake of protein based on the subject's dietary history information, A measuring device for acquiring the amount of energy consumed by the subject, The device includes a processor and an intervention device that is communicatively connected to the mobile terminal and the measuring instrument, The intervention device is Based on the ratio of the amount of energy consumed to the amount of energy expended, it is determined whether or not there is a need to prevent cognitive decline or frailty in the subject. If it is determined that there is a need to prevent the aforementioned decline in cognitive function or the aforementioned frailty, the mobile device will be instructed to perform a mealtime intervention action for the subject. An intervention system characterized by the following:

2. The intervention device, including the processor, Based on the subject's dietary history information, the amount of energy intake from protein was obtained. The amount of energy consumed by the subject is obtained, Based on the ratio of the amount of energy consumed to the amount of energy expended, it is determined whether or not there is a need to prevent cognitive decline or frailty in the subject. If it is determined that there is a need to prevent the aforementioned decline in cognitive function or the aforementioned frailty, the dietary intervention action will be performed on the subject. An intervention method characterized by including the following.

3. The aforementioned energy intake is estimated by an energy intake estimation unit that estimates the amount of protein energy intake by the subject based on the subject information of the subject. The intervention method according to claim 2.

4. The amount of energy consumed is estimated by an energy consumption estimation unit that estimates the amount of energy consumed by the subject based on the subject's attribute information. The intervention method according to claim 2.

5. The aforementioned dietary intervention is an action that encourages an increase or decrease in protein intake, depending on the degree of need to prevent the decline in cognitive function or the aforementioned frailty. The intervention method according to claim 2.

6. The aforementioned dietary intervention involves encouraging the consumption of foods containing both animal and plant-based proteins. The intervention method according to claim 5.

7. The aforementioned dietary intervention involves encouraging the intake of foods containing animal protein, plant protein, imidazole dipeptides, and dietary fiber. The intervention method according to claim 5.

8. An energy intake acquisition unit that acquires the amount of energy intake from protein based on the subject's dietary history information, The energy consumption acquisition unit acquires the amount of energy consumed by the subject, A determination unit that determines whether or not there is a need to prevent cognitive decline or frailty in the subject based on the ratio of the amount of energy intake to the amount of energy expenditure, If it is determined that there is a need to prevent the aforementioned decline in cognitive function or the aforementioned frailty, the intervention unit will perform a mealtime intervention action on the subject, An intervention device characterized by being equipped with

9. An energy intake acquisition unit that acquires the amount of energy intake from protein based on the subject's dietary history information, The energy consumption acquisition unit acquires the amount of energy consumed by the subject, A determination unit that determines whether or not there is a need to prevent cognitive decline or frailty in the subject based on the ratio of the amount of energy intake to the amount of energy expenditure, If it is determined that there is a need to prevent the aforementioned decline in cognitive function or the aforementioned frailty, the intervention unit will perform a mealtime intervention action on the subject, A mobile terminal characterized by having the following features.

10. For computers, Based on the subject's dietary history information, the amount of energy intake from protein was obtained. The amount of energy consumed by the subject is obtained, Based on the ratio of the amount of energy consumed to the amount of energy expended, it is determined whether or not there is a need to prevent cognitive decline or frailty in the subject. If it is determined that there is a need to prevent the aforementioned decline in cognitive function or the aforementioned frailty, the dietary intervention action will be performed on the subject. A program characterized by causing something to be done.

11. A food product characterized by containing a mixture of plant-based protein containing a predetermined amount of dietary fiber and animal-based protein containing a predetermined amount of imidazole dipeptide, in order to prevent cognitive decline or frailty, with a protein content of 5.0 g to 27.0 g or less per 100 g, an animal protein content of 3.0 g to 20 g or less, an imidazole dipeptide content of 20 mg to 1000 mg or less, and a dietary fiber content of 1.5 g to 9.0 g or less.

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