Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 12 de 12
Filter
1.
Psychon Bull Rev ; 30(5): 1840-1847, 2023 Oct.
Article in English | MEDLINE | ID: mdl-37012580

ABSTRACT

Most interval timing research has focused on prospective timing tasks, in which participants are explicitly asked to pay attention to time as they are tested over multiple trials. Our current understanding of interval timing primarily relies on prospective timing. However, most real-life temporal judgments are made without knowing beforehand that the durations of events will need to be estimated (i.e., retrospective timing). The current study investigated the retrospective timing performance of ~24,500 participants with a wide range of intervals (5-90 min). Participants were asked to judge how long it took them to complete a set of questionnaires that were filled out at the participants' own pace. Participants overestimated and underestimated durations shorter and longer than 15 min, respectively. They were most accurate at estimating 15-min long events. The between-subject variability in duration estimates decreased exponentially as a function of time, reaching the lower asymptote after 30 min. Finally, a considerable proportion of participants exhibited whole number bias by rounding their duration estimates to the multiples of 5 min. Our results provide evidence for systematic biases in retrospective temporal judgments, and show that variability in retrospective timing is relatively higher for shorter durations (e.g., < 30 min). The primary findings gathered from our dataset were replicated based on the secondary analyses of another dataset (Blursday). The current study constitutes the most comprehensive study of retrospective timing regarding the range of durations and sample size tested.


Subject(s)
Big Data , Time Perception , Humans , Retrospective Studies , Time Factors , Judgment
2.
BMC Psychol ; 10(1): 1, 2022 Jan 03.
Article in English | MEDLINE | ID: mdl-34980253

ABSTRACT

BACKGROUND: The purpose of the present study was to comprehensively examine the measurement aspects, the prevalence, and the psychological correlates of problem shopping among a large-scale national sample of Turkish adults. RESULT: Participants (N = 24,380, 50% men, M age = 31.79 years, age range = 18-81 years) completed a questionnaire that comprised the Shopping Addiction Risk Questionnaire, the Brief Symptom Inventory, the Positive and Negative Affect Schedule, and the Experiences in Close Relationships-Revised. Results showed that 1.8% of the participants had probable shopping addiction. Being female, being younger, psychiatric distress, positive affect, negative affect, anxious attachment, and avoidant attachment were positive correlates of problem shopping. CONCLUSION: The results of this large sample size study suggest that shopping addiction is not a rare condition in Turkey. Further research is needed to understand different motives that underlie the problematic shopping behavior in the young and female population in comparison to older and male populations. Preventive programs or any interventions for people with PSB needs to address regulation difficulties and development of healthy strategies to cope with psychiatric distress.


Subject(s)
Behavior, Addictive , Adolescent , Adult , Aged , Aged, 80 and over , Female , Humans , Male , Middle Aged , Motivation , Prevalence , Surveys and Questionnaires , Turkey/epidemiology , Young Adult
3.
J Ethn Subst Abuse ; 21(2): 476-498, 2022.
Article in English | MEDLINE | ID: mdl-32589101

ABSTRACT

OBJECTIVE: Substance use is the most important modifiable factor in increased morbidity and premature mortality. The purpose of this study was to examine the psychological factors associated with substance use status in nationally representative sample. METHOD: The data were from the Addiction Map of Turkey Study (TURBAHAR), in which 24,494 adults were recruited from 200 to 2000 participants in 26 provinces in Turkey. Chi-square tests and one-way ANOVAs were used to analyze the relationships between substance status and the risk factors. Multinomial Logistic regressions were used to calculate odds ratios. RESULTS: The prevalence of single substance use and polysubstance use at least once in their lifetime were 4.5% and 2.6%. Males, late emerging adults (24-29 years old) were more likely be a single substance use and polysubstance use. Having graduates diploma were more likely be a polysubstance use. Higher depression, anxiety, somatization, hostility, externally-oriented thinking, positive affect were associated with higher possibility of single and/or polysubstance use. Higher personal wellbeing scores and anxious attachment scores were associated with lower possibility of single and/or polysubstance use. CONCLUSION: Male, undergraduate and graduate, late emerging adults needs special attention. Many psychological variables are associated with substance use. Although not all have a high potency, they provide important information for subsequent treatment and diagnostic approaches.


Subject(s)
Substance-Related Disorders , Adult , Anxiety , Humans , Male , Risk Factors , Students , Substance-Related Disorders/epidemiology , Substance-Related Disorders/psychology , Turkey/epidemiology , Young Adult
4.
Eur Addict Res ; 27(6): 447-456, 2021.
Article in English | MEDLINE | ID: mdl-33853069

ABSTRACT

BACKGROUND: Substance use disorder is a serious public health problem. It is essential to know who is prone to substance use in order to adopt appropriate measures. OBJECTIVES: This study aims to determine the use prevalence ratios of substance use (tobacco, alcohol, cannabis, cocaine, synthetic cannabinoids, ecstasy, and others) in a large-scale sample of a general population. It also intends to examine related sociodemographic factors. METHODS: This study is based on a cross-sectional survey conducted with a nationally representative sample of 24,494 individuals in face-to-face interviews conducted by a trained team of 125 clinical psychologists. RESULTS: Lifetime prevalence of single substance use and polysubstance use are 4.5 and 2.6%, respectively (nicotine and alcohol excluded). Age, gender, education level, and marital status are important sociodemographic determinants for other substance use. Similarly, smoking and alcohol consumption are important determinants for other substance use. The multinomial regression analysis results showed that compared with adults aged 39 years and older, early-emerging adults (aged 18-23 years), late-emerging adults (aged 24-29 years), and young adults (aged 30-39 years) are more likely to turn to single substance use and polysubstance use. CONCLUSION: Tobacco, alcohol, and other substance use are serious health concerns in Turkey. Sociodemographic status is an important determinant of several aspects of tobacco, alcohol, and other substance use and, therefore, should be examined thoroughly to be able to develop effective protective and preventive strategies.


Subject(s)
Substance-Related Disorders , Alcohol Drinking/epidemiology , Cross-Sectional Studies , Humans , Prevalence , Substance-Related Disorders/epidemiology , Turkey/epidemiology , Young Adult
5.
J Laparoendosc Adv Surg Tech A ; 31(1): 24-28, 2021 Jan.
Article in English | MEDLINE | ID: mdl-32525729

ABSTRACT

Aim: Several studies demonstrated increased alcohol intake after gastric bypass but not for laparoscopic sleeve gastrectomy (LSG). The purpose of this study is to determine whether there is an increased risk of developing alcohol use disorder after LSG. Materials and Methods: LSG patients with at least 1-year follow-up who completed the alcohol use disorder identification test (AUDIT) preoperatively, and at their control visit, were the subjects. AUDIT was applied to the patients who were followed up from 1 to 6 years postoperatively. Patients were divided into two groups as those who were followed for 1-3 years and 4-6 years. AUDIT scores and risk categories were compared. According to the AUDIT results, score intervals between 0-7, 8-15, 16-19 and 20-40 identified patients with low, moderate, high risk, and alcoholism, respectively. Results: There were 183 LSG patients eligible for inclusion. An AUDIT score of 2.79 before LSG showed prominent reduction in alcohol use in the first 3 years after LSG with a score of 2.27 (P = .033). At 4-6 years follow-up, AUDIT scores showed significant increase from 3.06 to 4.04, suggesting an increase in alcohol use in the long term (P = .042). In addition, the increase of risk after surgery in pre-LSG moderate-risk category (n = 21) turned out to be higher than pre-LSG low-risk category (n = 162). Conclusions: This study showed reduction in AUDIT scores in the first 3-year follow-up after LSG and increase in the 4-6 years follow-up. High pre-LSG AUDIT score, a potential risk for future alcohol use disorder, was one of the key findings of our study. Screening of LSG candidates before and after surgery by AUDIT scoring according to risk categories with larger samples will provide useful input for relevant guidelines.


Subject(s)
Alcoholism/etiology , Gastrectomy , Laparoscopy , Obesity, Morbid/surgery , Postoperative Complications , Adolescent , Adult , Aged , Alcoholism/diagnosis , Alcoholism/epidemiology , Clinical Decision Rules , Female , Follow-Up Studies , Gastrectomy/methods , Humans , Male , Middle Aged , Postoperative Complications/diagnosis , Postoperative Complications/epidemiology , Risk Assessment , Treatment Outcome , Young Adult
6.
Clin EEG Neurosci ; 52(1): 38-51, 2021 Jan.
Article in English | MEDLINE | ID: mdl-32491928

ABSTRACT

The human brain is characterized by complex structural, functional connections that integrate unique cognitive characteristics. There is a fundamental hurdle for the evaluation of both structural and functional connections of the brain and the effects in the diagnosis and treatment of neurodegenerative diseases. Currently, there is no clinically specific diagnostic biomarker capable of confirming the diagnosis of major depressive disorder (MDD). Therefore, exploring translational biomarkers of mood disorders based on deep learning (DL) has valuable potential with its recently underlined promising outcomes. In this article, an electroencephalography (EEG)-based diagnosis model for MDD is built through advanced computational neuroscience methodology coupled with a deep convolutional neural network (CNN) approach. EEG recordings are analyzed by modeling 3 different deep CNN structure, namely, ResNet-50, MobileNet, Inception-v3, in order to dichotomize MDD patients and healthy controls. EEG data are collected for 4 main frequency bands (Δ, θ, α, and ß, accompanying spatial resolution with location information by collecting data from 19 electrodes. Following the pre-processing step, different DL architectures were employed to underline discrimination performance by comparing classification accuracies. The classification performance of models based on location data, MobileNet architecture generated 89.33% and 92.66% classification accuracy. As to the frequency bands, delta frequency band outperformed compared to other bands with 90.22% predictive accuracy and area under curve (AUC) value of 0.9 for ResNet-50 architecture. The main contribution of the study is the delineation of distinctive spatial and temporal features using various DL architectures to dichotomize 46 MDD subjects from 46 healthy subjects. Exploring translational biomarkers of mood disorders based on DL perspective is the main focus of this study and, though it is challenging, with its promising potential to improve our understanding of the psychiatric disorders, computational methods are highly worthy for the diagnosis process and valuable in terms of both speed and accuracy compared with classical approaches.


Subject(s)
Brain/physiopathology , Deep Learning , Depressive Disorder, Major/physiopathology , Electroencephalography , Adult , Brain-Computer Interfaces/psychology , Diagnosis, Computer-Assisted/methods , Electroencephalography/methods , Female , Humans , Male , Middle Aged , Neural Networks, Computer
7.
J Behav Addict ; 9(3): 836-852, 2020 Oct 12.
Article in English | MEDLINE | ID: mdl-32903203

ABSTRACT

BACKGROUND AND AIMS: To date, a number of studies have investigated the prevalence and correlates of addictive food consumption. However, these studies have mostly relied on models that comprised a narrow range of variables in often small and heterogenous samples. The purpose of the present study was to comprehensively examine the measurement aspects, the prevalence, and the psychological correlates of addictive eating among a largescale national sample of Turkish adults. METHOD: Participants (N = 24,380, 50% men, Mage = 31.79 years, age range = 18-81 years) completed a battery of tests including the Food Addiction Risk Questionnaire (FARQ), the Brief Symptom Inventory, the Toronto Alexithymia Scale, the Positive and Negative Affect Schedule, and the Experiences in Close Relationships-Revised. RESULTS: According to analyses conducted, the FARQ had a uni-dimensional factor structure. Based on Item Response Theory (IRT) calculated cut-off scores, 2.3% of the participants were at risk of addictive eating patterns, whilst criteria varied in their discriminating ability. The correlates of addictive food consumption were being male, being younger, having lower education, presenting with higher alcohol use, psychiatric symptoms, alexithymia, positive/negative affect, and anxious attachment. CONCLUSION: These results suggest that a minority of Turkish community are at risk for addictive food consumption and that adverse psychological states promote this problematic behavior.


Subject(s)
Food Addiction/diagnosis , Food Addiction/epidemiology , Food Addiction/psychology , Psychiatric Status Rating Scales/standards , Psychometrics/standards , Adolescent , Adult , Aged , Aged, 80 and over , Female , Humans , Male , Middle Aged , Prevalence , Risk , Risk Factors , Turkey , Young Adult
8.
Arch. Clin. Psychiatry (Impr.) ; 47(1): 1-6, Jan.-Feb. 2020. tab
Article in English | LILACS | ID: biblio-1088742

ABSTRACT

Abstract Background Obsessive-compulsive disorder is a challenging disease in terms of remission rates and treatment approaches. All theoretical approaches are needed for a better understanding. Compared to other theories, it has not been examined sufficiently from the perspective of gestalt theory in the literature. Objective To examine and compare the Gestalt Contact Styles of patients with obsessive-compulsive disorder (OCD) and the Control Group and to examine the relationship between Gestalt Contact Styles and OCD symptoms. Methods 50 OCD patients were compared with the healthy control group. All patients were evaluated with the Yale Brown Obsessive-Compulsive Scale (Y-BOCS), the Padua Inventory (PI), and the Gestalt Contact Styles Scale-Revised Form (GCSS-RF). For the control group, GCSS-RF was applied. Results The scores of the OCD patients for GCSS-RF "Retroflection" and "Deflection" subscales were significantly higher than the Control Group. Statistically significant high scores were found between the subscales of Padua Inventory "contamination obsessions and washing compulsions", "obsessional thoughts", "obsessional impulses" and "checking compulsions" subtypes and Gestalt contact styles in the Patient Group in a symptomatological examined manner. With these findings, in terms of Gestalt Contact Styles, it is seen that the difference between Patient and Control Groups is significantly different. There was no significant relationship between the Yale-Brown total score of the Patient Group and the GCSS-RF subscales. Discussion In conclusion, the findings of the study showed significant differences in terms of Gestalt Contact Styles (Retroflection, Contact, Deflection, Desensitization, Confluence) in Patient and Control Groups and OCD symptoms. These results are important to Gestalt Therapists in terms of shedding light on the therapeutic intervention to be done for an OCD patient and contributing to the literature.


Subject(s)
Humans , Male , Female , Adolescent , Adult , Middle Aged , Aged , Young Adult , Psychiatric Status Rating Scales , Communication , Gestalt Theory , Obsessive-Compulsive Disorder/psychology , Personality Inventory , Data Interpretation, Statistical , Statistics, Nonparametric , Defense Mechanisms , Obsessive-Compulsive Disorder/therapy
9.
Neuropsychiatr Dis Treat ; 15: 1971-1982, 2019.
Article in English | MEDLINE | ID: mdl-31371970

ABSTRACT

BACKGROUND: Smoking is the most important modifiable factor in increased morbidity and premature mortality. This study aims to examine the psychological factors associated with smoking and quitting in a broad, nationally representative sample. PARTICIPANTS AND METHODS: The sample included a total of 24.494 adult individuals. Participants were divided into three groups as smokers, non-smokers, and "ex-smokers" who had stopped smoking since at least last one year. For the current smokers, cigarettes per day also noted. Brief Symptom Inventory, Toronto Alexithymia Scale (TAS), Personal Well-Being Index Adult Form, Positive and Negative Affect Schedule, Experiences in Close Relationships-Revised Scales were used. RESULTS: 43.6% (n=10,672) of the participants were smokers; 5.7% (1386) were ex-smokers; 50.7% (n=12,414) were non-smokers. A higher number of daily smoked cigarettes was related to all subscales of Brief Symptom Inventory, TAS - Difficulty in Recognition of emotions, TAS - Difficulty in Expressing Emotions, Positive Affect Score, Negative Affect Score, Avoidance and Anxious Attachment scores (p<0.05). Externally oriented thinking is found to be significantly higher among ex-smokers than current smokers and non-smokers (p<0.05). CONCLUSION: The results of the present study indicate that smokers have more psychopathological characteristics in the psychometric evaluation, whereas ex-smokers are found to have similar scores to non-smokers. The higher percentage of externally oriented-thinking style in ex-smokers may suggest that this alexithymic characteristic can help the individual to deal with psychological addiction throughout quitting. On the other hand this result could also be related that stopping smoking leads to greater externally orientated thinking and other changes in psychological characteristics.

10.
Article in English | MEDLINE | ID: mdl-25713770

ABSTRACT

BACKGROUND: The aim of this study was to investigate whether childhood trauma (CT) and affective temperament have an impact on resilience in bipolar patients. METHODS: One hundred cases with bipolar disorder (BD) diagnosis according to the Diagnostic and Statistical Manual of Mental Disorders, 4th Edition (DSM-IV) were evaluated consecutively in their euthymic period during outpatient follow-up interviews. Diagnostic interviews were done with SCID-I, affective temperament was evaluated with the Temperament Evaluation of Memphis, Pisa, Paris and San Diego Autoquestionnaire, and resilience was evaluated with the Resilience Scale for Adults (RSA). The presence of CT was determined and measured with the Childhood Trauma Questionnaire (CTQ). RESULTS: Among the bipolar patients, it was found that 35 cases (35%) were CT+. Depressive, cyclothymic, and anxious temperament scores were higher in CT+ cases. However, resilience scores were higher in CT- cases. In bipolar patients with and without childhood trauma, the relationship between temperament and resilience appears to be different. A negative relation between sexual abuse, emotional abuse, emotional neglect, and anxious temperament scores and resilience scores was shown in regression analysis. CONCLUSIONS: CT and affective temperament both have an impact on resilience in bipolar patients.

11.
Behav Neurol ; 2014: 935379, 2014.
Article in English | MEDLINE | ID: mdl-24825964

ABSTRACT

BACKGROUND: Anti-neuronal autoimmunity may cause cognitive impairment that meets the criteria for dementia. Objective. Our aim was to detect the incidence and clinical features of autoimmune encephalitis imitating clinical findings of primary dementia disorders and to delineate the validity of anti-neuronal antibody screening in dementia patients. METHODS: Fifty consecutive patients fulfilling the clinical criteria for primary dementia, 130 control patients, and 50 healthy controls were included. Their sera were investigated for several ion channel and glutamic acid decarboxylase (GAD) antibodies by a cell-based assay, radioimmunoassay, and ELISA, as required. RESULTS: Sixteen patients satisfying dementia criteria had atypical findings or findings suggestive of autoimmune encephalitis. N-methyl-D-aspartate receptor (NMDAR) antibody was detected in a patient with dementia, Parkinsonism, and REM sleep behavior disorder (RBD) fulfilling the criteria for dementia with Lewy bodies (DLB). One control patient with bipolar disease displayed low anti-GAD antibody levels. CONCLUSIONS: Our study showed for the first time the presence of parkinsonism and RBD in an anti-NMDAR encephalitis patient mimicking DLB. Although autoimmune encephalitis patients may occasionally present with cognitive decline, most dementia patients do not exhibit anti-neuronal antibodies, suggesting that routine analysis of these antibodies in dementia is not mandatory, even though they display atypical features.


Subject(s)
Brain Diseases/diagnosis , Dementia/diagnosis , Encephalitis/diagnosis , Hashimoto Disease/diagnosis , Adult , Aged , Aged, 80 and over , Brain Diseases/epidemiology , Brain Diseases/immunology , Diagnosis, Differential , Encephalitis/epidemiology , Encephalitis/immunology , Female , Hashimoto Disease/epidemiology , Hashimoto Disease/immunology , Humans , Incidence , Male , Middle Aged
12.
Turk Psikiyatri Derg ; 23(4): 281-3, 2012.
Article in English | MEDLINE | ID: mdl-23225129

ABSTRACT

Valproate (VPA) and lorazepam are excreted mainly by glucuronide conjugation. VPA reduces the excretion of lorazepam as a result of the administration of these two medications together. As a result of these interactions, even if rarely, serious adverse effects such as coma may develop. Herein, we present two cases of stupor which developed after the addition of lorazepam to treatment administered with VPA. The first patient was being followed for five years with a diagnosis of schizoaffective disorder. She was subjected to a treatment of VPA at 1000 mg/day and an antipsychotic drug. On the twentieth day of the treatment, Lorazepam 2.5 mg was administered as an anxiolytic. The second patient was being followed with a diagnosis of schizophrenia for nine years. A VPA treatment of 750 mg/day was initiated together with an antipsychotic treatment. On the eighth day of the treatment, Lorazepam 2.5 mg was administered. A few hours later, a stupor manifestation developed in both of the patients. Administration of the entire medication to the patients was terminated and parenteral liquid administration was initiated. The clinical profile was back to normal approximately 24-36 hours following the termination of the medication. Studies about the clinical reflections of the VPA and Lorazepam interaction are limited. However, it must be remembered that as a result of the interaction of these two medications, conditions that vary between stupor and coma may arise.


Subject(s)
Anti-Anxiety Agents/adverse effects , Anticonvulsants/adverse effects , Lorazepam/adverse effects , Psychotic Disorders/drug therapy , Stupor/diagnosis , Valproic Acid/adverse effects , Anti-Anxiety Agents/administration & dosage , Anticonvulsants/administration & dosage , Diagnosis, Differential , Drug Interactions , Drug Therapy, Combination , Female , Humans , Lorazepam/administration & dosage , Stupor/chemically induced , Valproic Acid/administration & dosage
SELECTION OF CITATIONS
SEARCH DETAIL
...