Personality Characteristics and Acute Symptom Response Predict Chronic Symptoms After Mild Traumatic Brain Injury

Parker, Hillary A; Ranson, Jana; McCrea, Michael; Hoelzle, James B.; deRoon‐Cassini, Terri; Nelson, Lindsay D.

doi:10.1017/s1355617720001423

Cited by 13 publications

(10 citation statements)

References 68 publications

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“…Some studies have pointed out that patients with chronic diseases are prone to produce more psychological symptoms and more psychological problems and have a certain degree of influence on the development and prognosis of the disease. Different psychological and social factors and psychological characteristics of personality of patients with different chronic diseases lead to different stress on the immune system [ 9 ]. At present, studies have presented that patients with chronic diseases such as cancer, chronic cheilitis, burning mouth syndrome, metabolic syndrome, hypertension, and diabetes have different degrees of psychological problems [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

Psychosocial Factors and Psychological Characteristics of Personality of Patients with Chronic Diseases Using Artificial Intelligence Data Mining Technology and Wireless Network Cloud Service Platform

2022

Computational Intelligence and Neuroscience

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It was to explore the application value of health cloud service platform based on data mining algorithm and wireless network in the analysis of psychosocial factors and psychological characteristics of personality of patients with chronic diseases. Based on the demand analysis of cloud service platform for chronic diseases, a health cloud service platform including three modules was established: support layer, application layer, and interaction layer; and K-means algorithm and Apriori algorithm were used to mine and process data. The changes of pulse wave and EEG signal of epileptic seizures before and after processing by wireless network health cloud service platform were analyzed. 42 patients with idiopathic generalized epilepsy were selected as the research subjects, and 40 volunteers with normal physical examination during the same period were selected as the control group. The differences in the basic clinical characteristics data, Hamilton Anxiety Scale (HAMA), Hamilton Depression Scale (HAMD), Symptom Checklist 90 (SCL-90), and Eysenck Personality Questionnaire-Revision Short Scale for Chinese (EPQ-RSC) were compared between the two groups. It was found that the initial EEG signals of epileptic patients had noise pollution before and after the seizure, and the noise in the EEG signals was filtered out after digital technology processing in the cloud service platform. The maximum number of epileptic patients aged 18∼30 years was 17 (40.48%), and the mean scores of HAMD and HAMA scales in the epileptic group were significantly higher than those in the control group ( P < 0.001 ). The total score of SCL-90, somatization, obsessive-compulsive symptoms, interpersonal sensitivity, depression, anxiety, hostility, phobic anxiety, paranoid ideation, and psychosis in the epilepsy group were obviously higher than those in the control group ( P < 0.01 ). The mean value of EPQ-RSC and neuroticism (N) was clearly higher ( P < 0.05 ), the mean value of extroversion (E) was significantly lower ( P < 0.01 ), and the mean value of Lie Scale was significantly higher ( P < 0.05 ) in the epileptic group in contrast with those in the control group. It indicates that the cloud service platform for chronic diseases based on artificial intelligence data mining technology and wireless network has potential application value. Epilepsy patients with chronic diseases should be paid more attention to their psychosocial factors and psychological characteristics of personality in the treatment process.

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Section: Introductionmentioning

confidence: 99%

Psychosocial Factors and Psychological Characteristics of Personality of Patients with Chronic Diseases Using Artificial Intelligence Data Mining Technology and Wireless Network Cloud Service Platform

2022

Computational Intelligence and Neuroscience

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“…In the current study, history of depression was a significant predictor of standard neuropsychological performance three months after mild traumatic injury, and previous research in older adults also suggests that psychosocial factors may be associated with poor global recovery after mTBI, including poor expectations of recovery, depression, and fatigue (Kristman et al, 2016). Research in younger cohorts has also examined postconcussive symptoms after different types of injury (i.e., mTBI or orthopedic injury) and found certain personality traits were useful to explain postconcussive symptoms, regardless of injury type (Parker et al, 2021). Whether any or all these explanations can be demonstrated to directly impact cognitive performance three months postinjury in older people is yet to be determined.…”

Section: Discussionmentioning

confidence: 99%

“…exploration of preinjury psychological health will extend our understanding of response to trauma in older people (see Parker et al (2021) for discussion of this issue in younger age cohorts).…”

Section: Discussionmentioning

confidence: 99%

Cognitive performance in older people after mild traumatic brain injury: Trauma effects and other risk factors

Hume

Mitra

Wright

et al. 2022

J Int Neuropsychol Soc

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Objective: Cognitive symptoms are common in the initial weeks after mTBI, but recovery is generally expected within three months. However, there is limited information about recovery specifically in older age cohorts. Therefore, this study investigated cognitive outcome three months after mTBI in older adults (≥ 65 years) compared to trauma and community age-matched controls and explored risk factors for outcome after traumatic injury. Methods: Older mTBI patients (n = 40) and older adults with mild traumatic injury but without head injury (n = 66) were compared to a noninjured community control group (n = 47). Cognitive assessment included neuropsychological and computerized tests. Group differences were compared on individual tasks and overall cognitive performances using composite scores. Regression analyses identified predictors of outcome for trauma patients and moderator analyses explored possible interactions of mTBI severity with age and cognition. Results: As well as lower performances in processing speed and memory, both trauma groups had significantly lower performance on composite neuropsychological (d = .557 and .670) and computerized tasks (d = .783 and .824) compared to noninjured controls. Age, education, and history of depression were direct predictors of cognitive performance after mild traumatic injury (with or without head injury). Further moderation analysis demonstrated that mTBI severity (Glasgow Coma Scale < 15) moderated the impact of older age on computerized assessment (β = -.138). Conclusions: Three months after mild trauma (regardless of head injury), older people demonstrate lower cognition compared to noninjured peers. However, severity of mTBI (Glasgow Coma Scale < 15) can interact with older age to predict poorer cognitive outcomes.

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“…Previous studies have been carried out on organic personality disorders caused by craniocerebral trauma, mainly focusing on the incidence rate of personality disorders and relevant influencing factors (26)(27)(28). It is generally recognized that frontal and temporal lobe injuries are related to personality disorders (29,30).…”

Section: Discussionmentioning

confidence: 99%

Forensic psychiatric analysis of organic personality disorders after craniocerebral injury in Shanghai, China

Fang

Lin

et al. 2022

Front. Psychiatry

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ObjectiveTo explore the incidence rate and the differences of clinical manifestations of organic personality disorders with varying degrees of craniocerebral trauma.Materials and methodsAccording to the International Classification of Diseases-10, 1,027 subjects with craniocerebral trauma caused by traffic accidents were reviewed, the degrees of craniocerebral trauma were graded and those with personality disorder after craniocerebral trauma were diagnosed. The personality characteristics of all patients were evaluated by using the simplified Neuroticism Extraversion Openness Five-Factor Inventory (NEO-FFI).ResultsThe incidence rate of organic personality disorder after all kinds of craniocerebral trauma was 33.1%, while it was 38.7 and 44.2% in the patients after moderate and severe craniocerebral trauma, respectively, which was significantly higher than that in the patients after mild craniocerebral trauma (18.0%) (P < 0.05). Compared with the patients without personality disorder, the neuroticism, extraversion and agreeableness scores all showed significantly differences (P < 0.05) in the patients with personality disorder after craniocerebral trauma; especially the conscientiousness scores showed significant differences (P < 0.05) in the patients with personality disorder after moderate and severe craniocerebral trauma. The agreeableness and conscientiousness scores in the patients with personality disorder after moderate and severe craniocerebral trauma were significantly lower than that after mild craniocerebral trauma, and the patients with personality disorder after severe craniocerebral trauma had lower scores in extraversion than that after mild craniocerebral trauma.ConclusionThe severity and area of craniocerebral trauma is closely related to the incidence rate of organic personality disorder, and it also affects the clinical manifestations of the latter, which provides a certain significance and help for forensic psychiatric appraisal.

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Personality Characteristics and Acute Symptom Response Predict Chronic Symptoms After Mild Traumatic Brain Injury

Cited by 13 publications

References 68 publications

Psychosocial Factors and Psychological Characteristics of Personality of Patients with Chronic Diseases Using Artificial Intelligence Data Mining Technology and Wireless Network Cloud Service Platform

Psychosocial Factors and Psychological Characteristics of Personality of Patients with Chronic Diseases Using Artificial Intelligence Data Mining Technology and Wireless Network Cloud Service Platform

Cognitive performance in older people after mild traumatic brain injury: Trauma effects and other risk factors

Forensic psychiatric analysis of organic personality disorders after craniocerebral injury in Shanghai, China

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