OBJECTIVE: To explore the relationship between the geriatric nutritional risk index (GNRI) and cognitive function. METHODS: A cross-sectional study method was conducted. People aged ≥ 60 years from the National Health and Nutrition Examination Survey (NHANES) databases from 1999 to 2002 and 2011 to 2014 were included as study subjects. The participants were divided into three groups based on their GNRI scores: a medium-high risk group (82 ≤ GNRI < 92), a low risk group (92 ≤ GNRI < 98), and a no-risk group (GNRI ≥ 98). Demographic characteristics (gender, age, race, education), chronic diseases [chronic bronchitis, emphysema, thyroid problems, coronary heart disease, angina pectoris, stroke, hypertension, diabetes mellitus, and depression score on the patient health questionnaire (PHQ-9)], lifestyle habits (history of smoking, hours of sleep), etc., were collected. Cognitive function was assessed using the consortium to establish a registry for Alzheimer's disease word learning subtest (CERAD-WL), animal fluency test (AFT), and digit symbol substitution test (DSST) for the 2011-2014 data, while only the DSST was used for the 1999-2002 data. Differences in the above information among the GNRI cohorts were compared. Factors affecting cognitive function in the population were analyzed using multifactorial Logistic regression. RESULTS: 2 653 participants from 2011 to 2014 and 2 380 participants from 1999 to 2002 were enrolled, with a total of 5 033 participants in the study. There were statistically significant differences in age, stroke, diabetes mellitus, DSST score, AFT score, CERAD score test 1 recall (Cst1), and CERAD score test 2 recall (Cst2) among the GNRI groups. Multifactorial Logistic regression analysis of data from 2011 to 2014 showed that in model 3 (DSST score, age, gender, race, marriage, education, hours of sleep, history of smoking, emphysema, thyroid problems, chronic bronchitis, coronary heart disease, angina pectoris, hypertension, diabetes mellitus, depression score on the PHQ-9, and stroke) adjusted for all covariates, GNRI was a protective factor for DSST [odds ratio (OR) = 1.03, 95% confidence interval (95%CI) was 1.00 to 1.05, P = 0.03]; Logistic regression analyse for 1999 to 2002 and 2011 to 2014 showed a significant association even after adjustment for covariates (OR = 1.02, 95%CI was 1.00 to 1.03, P = 0.02). Subgroup Logistic regression analyses of the total population from 2011 to 2014 showed a significant association between GNRI and DSST scores (OR = 1.02, 95%CI was 1.01 to 1.03, P < 0.001), with significant associations in the age subgroups of 60 to 64 years old, across gender, non-Hispanic Whites and Blacks, by education, and by marital status associations were significant (all P < 0.05). Subgroup Logistic regression analyse of the total populations from 1999 to 2002 and 2011 to 2014 showed a significant association between the GNRI and DSST score (OR = 1.01, 95%CI was 1.01 to 1.02, P < 0.001), but did not show a significant year difference (interaction P = 0.503), and the newly found in the smoking population the association was also more significant (P < 0.01). CONCLUSION The GNRI correlates with the presence of cognitive functions related to processing speed, sustained attention, and executive function, and may be able to serve as an indicator for the assessment or prediction of related cognitive functions.
Humans ; Cross-Sectional Studies ; Aged ; Middle Aged ; Nutrition Surveys ; Cognition ; Female ; Male ; Nutritional Status ; Risk Factors ; Geriatric Assessment

Objective: To understand the transition rules of cognitive frailty and its influencing factors in the elderly in China and provide evidence for the early intervention of cognitive frailty. Methods: Data were retrospectively collected from China Health and Retirement Longitudinal Study with 3 round consecutive survey (2011, 2013, 2015) and the state of the subjects were classified into four categories: robust-normal cognitive, cognitive impairment, physical frailty, and cognitive frailty. A multi-state Markov model was established to explore the transition rules of cognitive frailty and its influencing factors. Results: A total of 3 470 older adults were included, and 350 (10.09%) had cognitive frailty at baseline. After two years, the probability of cognitive frailty in the cognitive impairment population was higher than that in people with physical frailty (31.6% vs. 7.6%). Persons with cognitive frailty were more likely to become physical frailty (29.7% vs. 15.6%). Being women (HR=1.599, 95%CI: 1.058-2.417), comorbidity (HR=3.035, 95%CI: 1.090-8.450), and depression (HR=1.678, 95%CI: 1.153-2.441) were the risk factors associated with cognitive frailty in the elderly, while being educated (HR=2.367, 95%CI: 1.567-3.575) was a protective factor for the transition of cognitive frailty to physical frailty. Conclusions: The prevalence of cognitive frailty is relatively high in the elderly in China. Those with cognitive impairment have a higher probability of cognitive frailty. Gender, education level, comorbidity, and depression are the main influencing factors for the occurrence and transition of cognitive frailty.
Aged ; China/epidemiology* ; Cognition ; Cognitive Dysfunction/epidemiology* ; Female ; Frail Elderly ; Frailty/epidemiology* ; Geriatric Assessment ; Humans ; Longitudinal Studies ; Male ; Retrospective Studies

OBJECTIVE: To investigate the risk factors for fall in the elderly population residing in rural areas of Korea and provide useful data for their prevention. METHODS: As part of farmers’ health promotion project, a retrospective study was conducted with a total of 350 elderly people recruited from March 2016 to December 2016. These subjects were divided into two groups: 254 non-fallers and 96 fallers. A person who fell to the floor at least once in the past year was defined as a faller. Participants were asked to visit the hospital once. The demographic characteristics, social environment, and educational levels were surveyed using a questionnaire. Physical examination was performed in the following order: cognitive function, lower leg strength and torque, body composition, and knee image test. RESULTS: Statistically significant factors for falls in univariate analysis were female gender, age, living alone, educational level less than middle school, skeletal muscle mass, Mini-Mental State Exam, knee osteoarthritis, hip torque, hip power mean, knee torque, and knee power mean. Multivariate analysis was performed to identify variables most relevant to falls among statistically significant factors in univariate logistic analysis. It was confirmed that female gender and age of 70–79 years were statistically significant factors related to falls. CONCLUSION: Female gender and elderly status (70–79 years) are important risk factors for falls in rural areas underscoring the need for special attention when considering risk factors for falls among the elderly living in rural areas.
Accidental Falls ; Aged ; Body Composition ; Cognition ; Female ; Health Promotion ; Hip ; Humans ; Knee ; Korea ; Leg ; Multivariate Analysis ; Muscle, Skeletal ; Osteoarthritis, Knee ; Physical Examination ; Retrospective Studies ; Risk Assessment ; Risk Factors ; Sociological Factors ; Torque

PURPOSE: Surgery is the primary curative treatment for colorectal cancer; however, it remains a frightening procedure that can cause stress and pain in affected patients. Therefore, patients typically experience significant anxiety during the preoperative period, which has been associated with poorer outcome after surgery. This study aimed to evaluate the effect of an Internet-based informational video on preoperative anxiety level in patients with colorectal cancer.
Anxiety ; Cognition Disorders ; Colorectal Neoplasms ; Depression ; Humans ; Internet ; Observational Study ; Outcome Assessment (Health Care) ; Postoperative Complications ; Preoperative Period ; Prospective Studies ; Social Media

BACKGROUND AND PURPOSE: Cerebral small vessel disease (CSVD) is the most common cause of vascular dementia and a major contributor to mixed dementia. CSVD is characterized by progressive cerebral white matter changes (WMC) due to chronic low perfusion and loss of autoregulation. In addition to its antiplatelet effect, cilostazol exerts a vasodilating effect and improves endothelial function. This study aims to compare the effects of cilostazol and aspirin on changes in WMC volume in CSVD.METHODS: The comparison study of Cilostazol and aspirin on cHAnges in volume of cerebral smaLL vEssel disease white matter chaNGEs (CHALLENGE) is a double blind, randomized trial involving 19 hospitals across South Korea. Patients with moderate or severe WMC and ≥ 1 lacunar infarction detected on brain magnetic resonance imaging (MRI) are eligible; the projected sample size is 254. Participants are randomly assigned to a cilostazol or aspirin group at a 1:1 ratio. Cilostazol slow release 200 mg or aspirin 100 mg are taken once daily for 2 years. The primary outcome measure is the change in WMC volume on MRI from baseline to 104 weeks. Secondary imaging outcomes include changes in the number of lacunes and cerebral microbleeds, fractional anisotropy and mean diffusivity on diffusion tensor imaging, and brain atrophy. Secondary clinical outcomes include all ischemic strokes, all vascular events, and changes in cognition, motor function, mood, urinary symptoms, and disability.CONCLUSIONS: CHALLENGE will provide evidence to support the selection of long-term antiplatelet therapy in CSVD.TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT01932203
Anisotropy ; Aspirin ; Atrophy ; Brain ; Cerebral Small Vessel Diseases ; Cognition ; Dementia ; Dementia, Vascular ; Diffusion Tensor Imaging ; Homeostasis ; Humans ; Korea ; Magnetic Resonance Imaging ; Outcome Assessment (Health Care) ; Perfusion ; Sample Size ; Stroke ; Stroke, Lacunar ; White Matter

OBJECTIVES: This study aimed to investigate the risk factors affecting suicidal ideation in community dwelling elderly individuals and to predict suicidal ideation through assessment tools.METHODS: We investigated 2,343 elderly individuals, aged 65 years or older, from February 2018 to December 2018. The participants were asked to complete sociodemographic questionnaires, including the Mini-Mental Status Examination for Dementia Screening(MMSE-DS), Short Geriatric Depression Scale(SGDS-K), Geriatric Anxiety Inventory(GAI), Athens Insomnia Scale(AIS), and Scales for Suicidal Ideation(SSI). We performed the Chi-squared test and logistic regression analysis for these data, to examine the relationship between suicidal ideation and the participants' risk factors. Moreover, we performed Receiver Operating Characteristics(ROC) curve analysis, to predict suicidal ideation through the assessment tools.RESULTS: The prevalence of suicidal ideation was 6.0%. Binary logistic regression revealed that cognitive impairment (OR=1.729, CI : 1.029–2.904), depression(OR=3.479, CI : 2.177–5.560), anxiety(OR=3.822, CI : 2.454–5.951), and sleeping disorders(OR=1.661, CI : 1.132–2.438) were independently associated with suicidal ideation. The cutoffs to predict suicidal ideation, obtained using ROC analysis were ≤21[area under the curve(AUC) : 0.582] for the MMSE-DS, >6(AUC : 0.822) for SGDS, >3(AUC : 0.817) for GAI, and >8(AUC : 0.718) for AIS.CONCLUSION: The incidence of suicidal ideation in the community dwelling elderly was quite high and was particularly related with depression and anxiety. These results could contribute to prevention and management of suicide among community dwelling elderly individuals.
Aged ; Anxiety ; Cognition Disorders ; Dementia ; Depression ; Humans ; Incidence ; Independent Living ; Logistic Models ; Prevalence ; Risk Assessment ; Risk Factors ; ROC Curve ; Sleep Initiation and Maintenance Disorders ; Suicidal Ideation ; Suicide ; Weights and Measures

Focal cortical dysplasia (FCD) is the major cause of intractable focal epilepsy in childhood leading to epilepsy surgery. The overall seizure freedom after surgery ranges between 50–75% at 2 years after surgery and the long-term seizure freedom remain relatively stable. Seizure outcome after surgery depends on a various factors such as pathologic etiologies, extent of lesion, and types of surgery. Therefore, seizure outcome after surgery for FCD should be analyzed carefully considering cohorts' characteristics. Studies of pediatric epilepsy surgery emphasize the early surgical intervention for a better cognition. Early surgical intervention and cessation of seizure activity are important for children with intractable epilepsy. However, there are limited data on the cognitive outcome after surgery in pediatric FCD, requiring further investigation. This paper reviews the seizure and cognitive outcomes of epilepsy surgery for FCD in children. Several prognostic factors influencing seizure outcome after surgery will be discussed in detail.
Child ; Cognition ; Drug Resistant Epilepsy ; Epilepsies, Partial ; Epilepsy ; Freedom ; Humans ; Malformations of Cortical Development ; Patient Outcome Assessment ; Pediatrics ; Seizures

OBJECTIVE: Garcinia mangostana Linn., commonly known as mangosteen, is a tropical fruit with a thick pericarp rind containing bioactive compounds that may be beneficial as an adjunctive treatment for schizophrenia. The biological underpinnings of schizophrenia are believed to involve altered neurotransmission, inflammation, redox systems, mitochondrial dysfunction, and neurogenesis. Mangosteen pericarp contains xanthones which may target these biological pathways and improve symptoms; this is supported by preclinical evidence. Here we outline the protocol for a double-blind randomized placebo-controlled trial evaluating the efficacy of adjunctive mangosteen pericarp (1,000 mg/day), compared to placebo, in the treatment of schizophrenia. METHODS: We aim to recruit 150 participants across two sites (Geelong and Brisbane). Participants diagnosed with schizophrenia or schizoaffective disorder will be randomized to receive 24 weeks of either adjunctive 1,000 mg/day of mangosteen pericarp or matched placebo, in addition to their usual treatment. The primary outcome measure is mean change in the Positive and Negative Symptom Scale (total score) over the 24 weeks. Secondary outcomes include positive and negative symptoms, general psychopathology, clinical global severity and improvement, depressive symptoms, life satisfaction, functioning, participants reported overall improvement, substance use, cognition, safety and biological data. A 4-week post treatment interview at week 28 will explore post-discontinuations effects. RESULTS: Ethical and governance approvals were gained and the trial commenced. CONCLUSION: A positive finding in this study has the potential to provide a new adjunctive treatment option for people with schizophrenia and schizoaffective disorder. It may also lead to a greater understanding of the pathophysiology of the disorder.
Cognition ; Depression ; Fruit ; Garcinia mangostana ; Garcinia ; Inflammation ; Neurogenesis ; Outcome Assessment (Health Care) ; Oxidation-Reduction ; Oxidative Stress ; Psychopathology ; Psychotic Disorders ; Schizophrenia ; Synaptic Transmission ; Xanthones

BACKGROUND: Korea has a periodic general health check-up program that uses the Korean Dementia Screening Questionnaire-Cognition (KDSQ-C) as a cognitive dysfunction screening tool. The Alzheimer Disease 8 (AD8) and Subjective Memory Complaints Questionnaire (SMCQ) are also used in clinical practice. We compared the diagnostic ability of these screening questionnaires for cognitive impairment when completed by participants and their caregivers. Hence, we aimed to evaluate whether the SMCQ or AD8 is superior to the KDSQ-C and can be used as its replacement. METHODS: A total of 420 participants over 65 years and their informants were recruited from 11 hospitals for this study. The patients were grouped into normal cognition, mild cognitive impairment, and dementia subgroups. The KDSQ-C, AD8, and SMCQ were completed separately by participants and their informants. RESULTS: A receiver operating characteristic analysis of questionnaire scores completed by participants showed that the areas under the curve (AUCs) for the KDSQ-C, AD8, and SMCQ for diagnosing dementia were 0.75, 0.8, and 0.73, respectively. Regarding informant-completed questionnaires, the AD8 (AUC of 0.93), KDSQ-C (AUC of 0.92), and SMCQ (AUC of 0.92) showed good discriminability for dementia, with no differences in discriminability between the questionnaires. CONCLUSION: When an informant-report is possible, we recommend that the KDSQ-C continues to be used in national medical check-ups as its discriminability for dementia is not different from that of the AD8 or SMCQ. Moreover, consistent data collection using the same questionnaire is important. When an informant is not available, either the KDSQ-C or AD8 may be used. However, in the cases of patient-reports, discriminability is lower than that for informant-completed questionnaires.
Alzheimer Disease ; Caregivers ; Cognition ; Cognition Disorders ; Data Collection ; Dementia ; Humans ; Korea ; Mass Screening ; Memory ; Mild Cognitive Impairment ; ROC Curve ; Self-Assessment

OBJECTIVE: Delirium is very common in orthopedic elderly patients and increase comorbidity and mortality rates. By controling the risk factors of delirium, prevention strategy can be effective and reduce negative outcomes. The purpose of this study was to explore the usefulness of delirium risk assessment with some simple collateral questionaires. METHODS: The subjects were 50 elderly patients (≥65 years old) who admitted to a department of orthopedic surgery for operations of lower extremity fractures. They were evaluated with Diagnostic and Statistical Manual of Mental Disorders, fifth edition, Confusion Assessment Method and Korean Dementia Screening Questionnaire (KDSQ) by psychiatrists. The demographic data, medical histories, and orthopedic chart were checked through medical records of patients. RESULTS: 27 subjects (54.0%) were diagnosed as delirium. There was a significant difference between delirium group and control group with all KDSQ scores. Depressive category of KDSQ score had the highest correlation (coefficient=0.399) and can be independent risk factor of delirium (p=0.045). CONCLUSION: Cognitive impairment and depressive symptoms have high correlation with delirium. We found that just a few questions of cognitive impairment and depressive symptoms by caregivers can evaluate the risk factors of delirium. The simple collateral questionaires can be useful tool for exploring delirium risk factors.
Aged* ; Caregivers ; Cognition Disorders ; Comorbidity ; Delirium* ; Dementia ; Depression ; Diagnostic and Statistical Manual of Mental Disorders ; Humans ; Lower Extremity* ; Mass Screening ; Medical Records ; Methods ; Mortality ; Orthopedics ; Psychiatry ; Risk Assessment ; Risk Factors