CN111297381B - Psychological detection method based on military training injury - Google Patents
Psychological detection method based on military training injury Download PDFInfo
- Publication number
- CN111297381B CN111297381B CN202010089501.7A CN202010089501A CN111297381B CN 111297381 B CN111297381 B CN 111297381B CN 202010089501 A CN202010089501 A CN 202010089501A CN 111297381 B CN111297381 B CN 111297381B
- Authority
- CN
- China
- Prior art keywords
- injury
- military training
- information
- anxiety
- depression
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
- A61B5/165—Evaluating the state of mind, e.g. depression, anxiety
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Psychiatry (AREA)
- Engineering & Computer Science (AREA)
- Pathology (AREA)
- Biomedical Technology (AREA)
- Hospice & Palliative Care (AREA)
- Psychology (AREA)
- Social Psychology (AREA)
- Physics & Mathematics (AREA)
- Developmental Disabilities (AREA)
- Biophysics (AREA)
- Child & Adolescent Psychology (AREA)
- Educational Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Medical Informatics (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Medical Treatment And Welfare Office Work (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The invention discloses a psychological detection method based on military training injuries, which comprises the following steps: acquiring military training injury information, wherein the military training injury information at least comprises wounded identity data, a daily living and activity ability Barthel index and an external support PSSS index; acquiring anxiety information screening scores and depression information screening scores of wounded persons corresponding to military training injury information, respectively obtaining normals of the screened scores based on a cross section investigation method, and generating anxiety psychology color comparison tables and depression psychology color comparison tables with different grades; responding to military training injury information, anxiety information screening score and depression information screening score, generating an anxiety risk model and a depression risk model according to the multi-factor COX model, and generating a risk factor according to COX regression estimation, wherein when the military training injury information to be detected meets the risk factor, an intervention prompt is sent.
Description
Technical Field
The invention belongs to the technical field of psychological detection, and particularly relates to a psychological detection method based on military training injuries.
Background
Military training injuries refer to injuries to bone joints, soft tissues or organs that occur while participating in military training. With the continuous deepening of military actual combat training, military training subjects are increased, training items are complicated, training intensity is increased continuously, military training simulating battlefield environment aims to build a war environment close to reality, and military training injuries tend to increase. Military training injury not only causes damage to the body and physiological functions of soldiers, but also obviously improves psychological stress conditions of injured persons over normal conditions. Military training casualty psychological prediction, assessment and intervention are carried out as early as possible in the early treatment period, and the risk of the casualty generating psychological problems can be reduced.
The current literature reports psychological assessment scales on military training injuries include a state-trait anxiety scale, an anxiety self-assessment scale, a depression self-assessment scale, a trauma patient early psychological other assessment scale, a symptom self-assessment scale and a flow-regulated central depression scale. The application of the scales to early rescue period psychological assessment of military training injuries is post-accident assessment. The evaluation of the existing psychological assessment tool is the occurred psychological problem, and a military training wounded psychological problem prediction tool is lacked, so that the predictive intervention is not facilitated. Standardized intervention protocols based on the results of the evaluation are lacking. In order to solve the problems, a military training injury early-stage psychological fast screening tool needs to be designed, a military training injury victim psychological state prediction model is constructed, a standardized psychological intervention scheme and a worksheet based on an evaluation result are formulated, and military training injury early-stage psychological fast screening and intervention management software is researched and developed on the basis of the scheme and the worksheet, so that fast and dynamic monitoring is realized, and the informatization level is improved.
The above information disclosed in this background section is only for enhancement of understanding of the background of the invention and therefore it may contain information that does not form the prior art that is already known in this country to a person of ordinary skill in the art.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a psychological detection method based on military training injuries. The invention aims to realize the purpose through the following technical scheme, and the psychological detection method based on military training injuries comprises the following steps:
in the first step, military training injury information is collected, wherein the military training injury information at least comprises wounded identity data, a daily living and activity ability Barthel index and an external support PSSS index;
in the second step, acquiring anxiety information screening scores and depression information screening scores of wounded persons corresponding to military training injury information, respectively obtaining normal models of the wounded persons based on a cross section investigation method, and generating anxiety psychology color comparison tables and depression psychology color comparison tables with different grades;
and in the third step, responding to military training injury information, anxiety information screening score and depression information screening score, generating an anxiety risk model and a depression risk model according to the multi-factor COX model, and generating a risk factor according to COX regression estimation, wherein when the military training injury information to be detected meets the risk factor, an intervention prompt is sent.
In the method, in the first step, military training injury information is acquired through a data acquisition terminal and stored in a database.
In the method, the identity data of the wounded at least comprises name, age, sex, wound position, wound type, time interval between the wound and the surgical treatment and the property of the task to be performed
In the method, the Barthel index of the daily living activity indicates that the daily living activity is good in 100 points from the evaluation of daily living activity of the wounded by feeding, bathing, dressing, stool control, urine control, going to the toilet, bed and chair transfer, walking and going up and down stairs; a score of more than 60 indicates basic self-care of daily life; scores of 60-41 indicate that daily life needs certain help; 40-21 points show that the daily life obviously needs to depend on other people; less than 20 points out that the daily life completely depends on others.
In the method, in the third step, the risk factor is that the estimated value is more than 0, and the P is less than 0.05.
In the method, in the third step, the anxiety risk model is y =0.017x1-0.499x2+0.052x3+0.015x4-0.294x5+0.146x6-0.034x7-0.009x8, wherein x1 is the age, x2 is the duty, x3 is the nature of the task being performed, x4 is the wound site, x5 is the wound, x6 is the time of receiving surgical treatment, x7 is the PSSS score, and x8 is the Barthel index.
In the method, in the third step, the depression risk model is y = -0.042x1+0.580x2+0.718x3+0.158x4-0.102x5+0.130x6-0.015x7-0.005x8, wherein x1 is the age, x2 is the position, x3 is the performance task property, x4 is the injured part, x5 is the injury, x6 is the time of receiving surgical treatment, x7 is the PSSS score, and x8 is the Barthel index.
Compared with the prior art, the invention has the following advantages:
the invention realizes the prior detection and evaluation, accurately predicts the psychological risk, rapidly screens the psychological problem, accurately implements the intervention scheme and evaluates the intervention effect in a closed loop manner, has the functions of remote information transmission, remote interaction of psychological adjustment technology, comprehensive data analysis, standardized psychological intervention scheme sharing and knowledge link, and improves the predictability, the timeliness and the pertinence of psychological nursing intervention in early stage of military training injury.
Drawings
Various additional advantages and benefits of the present invention will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. It is obvious that the drawings described below are only some embodiments of the invention, and that for a person skilled in the art, other drawings can also be derived from them without inventive effort. Also, like parts are designated by like reference numerals throughout the drawings.
In the drawings:
FIG. 1 is a schematic diagram of the steps of a military training injury-based psychometric detection method according to an embodiment of the invention;
the invention is further explained below with reference to the figures and examples.
Detailed Description
A specific embodiment of the present invention will be described in more detail with reference to fig. 1. While specific embodiments of the invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
It should be noted that certain terms are used throughout the description and claims to refer to particular components. As one skilled in the art will appreciate, various names may be used to refer to a component. This specification and claims do not intend to distinguish between components that differ in name but not function. In the following description and in the claims, the terms "include" and "comprise" are used in an open-ended fashion, and thus should be interpreted to mean "include, but not limited to. The description which follows is a preferred embodiment of the present invention, but is made for the purpose of illustrating the general principles of the invention and not for the purpose of limiting the scope of the invention. The scope of the present invention is defined by the appended claims.
For the purpose of facilitating understanding of the embodiments of the present invention, the following description will be made by taking specific embodiments as examples with reference to the accompanying drawings, and the drawings are not to be construed as limiting the embodiments of the present invention.
For better understanding, a psychometric detection method based on military training injuries comprises the following steps:
in a first step S1, military training injury information is collected, the military training injury information including at least wounded identity data, a daily living and activity ability Barthel index, and an external support PSSS index;
in a second step S2, acquiring anxiety information screening scores and depression information screening scores of military training injury information corresponding to the injured persons, respectively obtaining normals of the scores based on a cross section investigation method, and generating anxiety psychology color comparison tables and depression psychology color comparison tables with different grades;
and in a third step S3, responding to the military training injury information, the anxiety information screening score and the depression information screening score, generating an anxiety risk model and a depression risk model according to the multi-factor COX model, and generating a risk factor according to COX regression estimation, wherein when the military training injury information to be detected meets the risk factor, an intervention prompt is sent.
In a preferred embodiment of the method, in a first step S1, military training injury information is collected via a data collection terminal and stored in a database.
In a preferred embodiment of the method, the identity data of the injured person includes at least name, age, sex, site of injury, type of injury, time between injury and surgical treatment and nature of task performed
In a preferred embodiment of the method, the Barthel index of daily living activities for the assessment of the daily living activities of the wounded from feeding, bathing, dressing, stool control, urine control, going to the toilet, bed-chair transfer, walking and going up and down stairs, a score of 100 indicates that the daily living activities are good; a score greater than 60 indicates basic self-care of daily life; scores of 60-41 indicate that daily life needs certain help; 40-21 points show that the daily life obviously needs to depend on other people; less than 20 points out that the daily life completely depends on others.
In a preferred embodiment of the method, in a third step S3, the risk factor is estimated to be greater than 0 and p is less than 0.05.
In a preferred embodiment of said method, in a third step S3, the anxiety risk model is y =0.017x1-0.499x2+0.052x3+0.015x4-0.294x5+0.146x6-0.034x7-0.009x8, wherein x1 is the age, x2 is the job position, x3 is the nature of the task performed, x4 is the site of injury, x5 is the wound category, x6 is the time of surgical treatment, x7 is the PSSS score, and x8 is the Barthel index.
In a preferred embodiment of said method, in a third step S3, the depression risk model is y = -0.042x1+0.580x2+0.718x3+0.158x4-0.102x5+0.130x6-0.015x7-0.005x8, wherein x1 is the age, x2 is the position, x3 is the nature of the task performed, x4 is the wound site, x5 is the wound, x6 is the time of receiving the surgical treatment, x7 is the PSSS score, x8 is the Barthel index.
To further understand the present invention, in one embodiment, military training wounded psychometric results were included in a total of 108 samples, 3 wounded information was incomplete, and 105 samples were subjected to statistical analysis. The evaluation results of anxiety and depression 1-10 days after injury of 105 military training wounded persons are shown in Table 1.
TABLE 1 evaluation result of psychological state of wounded 1-10d after military training
n＝105
Compared with the norm, the group of the wounded persons have the fast anxiety score that P is less than 0.01 1-10 days after the injury, wherein the 2d and the 9d after the injury exceed the norm mean by 2 times of standard deviation, the 1d, the 3-5d, the 7-8d and the 10d exceed the norm mean by 1 time of standard deviation, and the 6d is within the norm mean +1 time of standard deviation. Fast depression scoring 3-5 days after injury P < 0.01, wherein 4d after injury exceeds 1 standard deviation of norm mean, and the rest time is within 1 standard deviation of norm mean +1 fast psychometric measurement result composition ratio of 1-10 days after injury in military training, as shown in Table 2
TABLE 2 military training post-injury 1-10 days wounded psychological status composition ratio (%, n = 105)
The COX prediction model for military training wounded psychological state is shown in tables 3 and 4
TABLE 3 military training wounded anxiety risk Cox model estimation parameters
G (chi square) =606.7073, degree of freedom =8, p value =0.0000
Injury type: 1= fracture 2= ligament injury, 3= tendon injury; wound site: 1= hand, 2= upper limb, 3= ankle, 4= lower limb; job level: 1= soldier, 2= cadres below the clique, 3= cadres above the teacher; the performance task property: 0= daily training, 1= field standing and training, training and the like.
The result shows that the time P of the surgery treatment after the injury is less than 0.05, the estimated value is more than 0, and the surgery treatment is a risk factor for training the anxiety risk of the injured person in military; the PSSS and Barthel index P is less than 0.05, the estimated value is less than 0, and the PSSS and Barthel index P is a protective factor for anxiety risk of military training wounded personnel.
TABLE 4 military training wounded Depression Risk Cox model estimation parameters
G (chi square) =523.5718, degree of freedom =8, p value =0.0000
The results show that the time of starting to receive surgical treatment after injury, the property P of executing tasks is less than 0.05, the estimated value is more than 0, and the method is a risk factor of depression risk of military training wounded.
On the basis of recording and analyzing the existing scale and the disease course of the wounded, the anxiety and depression evaluation items are respectively reduced to 7 items, a military training injury rapid psychological evaluation scale is designed, the anxiety and depression norms are constructed in 675 male army officers and soldiers, and the reference standard is determined. The measurement result shows that the internal consistency reliability, expert validity and simultaneous validity of the scale are good, the completion time is about 1.5min, and the method is suitable for early use of military training wounded personnel. According to the invention, the fast anxiety score is taken as a y variable, and COX regression analysis results show that three independent variables of 'injury to treatment receiving interval time h', 'PSSS' and 'Barthel index' have statistical significance. The "time between injury and surgical treatment h" estimate is 0.146 and is a risk factor, and shortening the time between injury and surgical treatment reduces the anxiety risk of the injured person. Therefore, the train time-service maneuvering force is reasonably mobilized, effective treatment before approach is realized, the standard and programmed pre-hospital and in-hospital emergency treatment process is established, the wounded can be effectively treated in the shortest time, and the incidence rate of the bad psychological problems of the wounded in military training can be reduced.
Although the embodiments of the present invention have been described above with reference to the accompanying drawings, the present invention is not limited to the above-described embodiments and application fields, and the above-described embodiments are illustrative, instructive, and not restrictive. Those skilled in the art, having the benefit of this disclosure, may effect numerous modifications to the disclosed embodiments without departing from the scope of the invention as defined by the appended claims.
Claims (5)
1. A method for psychometric detection based on military training injuries, the method comprising the steps of:
in a first step (S1), military training injury information is collected, wherein the military training injury information at least comprises injury identity data, daily living and activity ability Barthel index and an insight social support scale PSSS;
in the second step (S2), acquiring anxiety information screening scores and depression information screening scores of military training injury information corresponding to the injured persons, respectively obtaining normals of the scores based on a cross section investigation method, and generating anxiety psychology color comparison tables and depression psychology color comparison tables with different grades;
a third step (S3) of generating an anxiety risk model and a depression risk model according to the multifactor COX model in response to the military training injury information, the anxiety information screening score and the depression information screening score, and generating a risk factor according to COX regression estimation, wherein when the military training injury information to be detected meets the risk factor, an intervention prompt is issued, wherein,
the anxiety risk model is y =0.017x1-0.499x2+0.052x3+0.015x4-0.294x5+0.146x6-0.034x7-0.009x8, wherein x1 is age, x2 is duty, x3 is the task performance property, x4 is the injury part, x5 is the injury class, x6 is the time of receiving surgical treatment, x7 is PSSS score, x8 is Barthel index,
the model of depression risk is y = -0.042x1+0.580x2+0.718x3+0.158x4-0.102x5+0.130x6-0.015x7-0.005x8, wherein x1 is age, x2 is position, x3 is the nature of the task, x4 is the injured part, x5 is the injury, x6 is the time of receiving surgical treatment, x7 is PSSS score, and x8 is Barthel index.
2. The method of claim 1, wherein in the first step (S1), military training injury information is collected via a data collection terminal and stored in a database.
3. The method of claim 1, wherein the victim identity data includes at least name, age, gender, location of injury, type of injury, time between injury and surgical intervention, and nature of task performed.
4. The method according to claim 1, wherein the daily living activities Barthel index evaluates the impaired daily living activities from eating, bathing, grooming, dressing, controlling bowel movement, controlling urination, going to the toilet, bed-chair transfer, walking, and going up and down stairs, a score of 100 indicates good daily living activities; a score of more than 60 indicates basic self-care of daily life; scores of 60-41 indicate that daily life needs certain help; 40-21 points show that the daily life obviously needs to depend on other people; less than 20 points out that the daily life completely depends on others.
5. The method according to claim 1, wherein in the third step (S3), the risk factors are estimated to be greater than 0 and P is less than 0.05.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010089501.7A CN111297381B (en) | 2020-02-12 | 2020-02-12 | Psychological detection method based on military training injury |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010089501.7A CN111297381B (en) | 2020-02-12 | 2020-02-12 | Psychological detection method based on military training injury |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111297381A CN111297381A (en) | 2020-06-19 |
| CN111297381B true CN111297381B (en) | 2023-02-07 |
Family
ID=71154467
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010089501.7A Active CN111297381B (en) | 2020-02-12 | 2020-02-12 | Psychological detection method based on military training injury |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111297381B (en) |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105808970A (en) * | 2016-05-09 | 2016-07-27 | 南京智精灵教育科技有限公司 | Online cognitive assessment system and assessment method |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120238831A1 (en) * | 2011-03-18 | 2012-09-20 | Jacob Benford | Portable Neurocognitive Assesment and Evaluation System |
| US10068670B2 (en) * | 2012-08-16 | 2018-09-04 | Ginger.io, Inc. | Method for modeling behavior and depression state |
| RU2657193C9 (en) * | 2017-06-28 | 2018-08-03 | Федеральное государственное бюджетное образовательное учреждение дополнительного профессионального образования "Российская медицинская академия непрерывного профессионального образования" Министерства здравоохранения Российской Федерации | Method for predicting the development of a chronic course of a depressive disorder |
-
2020
- 2020-02-12 CN CN202010089501.7A patent/CN111297381B/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105808970A (en) * | 2016-05-09 | 2016-07-27 | 南京智精灵教育科技有限公司 | Online cognitive assessment system and assessment method |
Non-Patent Citations (1)
| Title |
|---|
| 认知行为干预对部队军事训练伤伤员心理应激的影响;曾春菊等;《华南国防医学杂志》;20170430;第31卷(第04期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111297381A (en) | 2020-06-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Resnik et al. | Systematic review of measures of impairment and activity limitation for persons with upper limb trauma and amputation | |
| Goldberg et al. | Kinesiophobia and its association with health-related quality of life across injury locations | |
| Livingstone et al. | A path of perpetual resilience: Exploring the experience of a diabetes-related amputation through grounded theory | |
| Crisson et al. | The relationship of locus of control to pain coping strategies and psychological distress in chronic pain patients | |
| Datta et al. | Functional outcome of patients with proximal upper limb deficiency–acquired and congenital | |
| O'Neil Snoddy Jr et al. | Predictors of basic infantry training success | |
| Chui et al. | Orthotics and Prosthetics in Rehabilitation E-Book: Orthotics and Prosthetics in Rehabilitation E-Book | |
| Novak | 16. Beneath the Façade: A Skeletal Model of Domestic Violence | |
| Figueiredo et al. | Oberlin’s procedure in children with obstetric brachial plexus palsy | |
| US20070173698A1 (en) | Fail-safe risk management system and methods | |
| Jordan | High technology: the case of obstetrics | |
| CN111297381B (en) | Psychological detection method based on military training injury | |
| Madigan et al. | Accuracy in the outcomes and assessment information set (OASIS): Results of a video simulation | |
| Malshikare | Graft reposition on flap: mid-term result in Allen type IV amputation | |
| Bürgi et al. | Swiss catalogue of learning objectives for undergraduate medical training | |
| Oetker-Black et al. | Preoperative self-efficacy and postoperative behaviors | |
| Losco et al. | Back to basics with distal thumb reconstruction. Easy management of the incomplete amputation | |
| Ruble et al. | Medical and physical readiness of the US Army Reserve for Noble Eagle/Enduring Freedom/Iraqi Freedom: recommendations for future mobilizations | |
| Rahmani et al. | The effectiveness of self-compassion therapy on cognitive emotion regulation strategies and anxiety sensitivity in female nurses | |
| Kift et al. | Characteristics of US Combat Veterans (2001-2011) Who Remain on Active Duty After Upper Extremity Amputations. | |
| Ballard et al. | Work therapy and return to work | |
| Jorge | Orthotics and Prosthetics in Rehabilitation: Multidisciplinary Approach | |
| Holland | An İntroduction to the Roper-Logan-Thirney Model for Nursing, Based On Activities of Living | |
| Dick et al. | Dying and disabled children: Dealing with loss and grief | |
| Admi | Stress intervention: A model of stress inoculation training |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |