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The Lancet. Public Health Jul 2024Even though alcohol consumption is an established risk factor for cancer, evidence regarding the effect of a reduction or cessation of alcohol consumption on cancer...
BACKGROUND
Even though alcohol consumption is an established risk factor for cancer, evidence regarding the effect of a reduction or cessation of alcohol consumption on cancer incidence is scarce. Our main study aim was to assess the effect of alcohol rehabilitation and abstinence on cancer incidence in people with alcohol dependence.
METHODS
We conducted a nationwide hospital retrospective cohort study which included all adults residing in mainland France and discharged in 2018-21. Multivariable Cox proportional hazards models were used to estimate the effect of rehabilitation treatment at hospital or a history of abstinence versus alcohol dependence without rehabilitation or abstinence on the risk for incident alcohol-associated cancers by sex, controlled for potential confounding risk factors.
FINDINGS
10 260 056 men and 13 739 369 women were discharged from French hospitals in 2018-21. Alcohol dependence was identified in 645 720 (6·3%) men and 219 323 (1·6%) women. Alcohol dependence was strongly related to alcohol-associated cancer sites in both sexes (hepatocellular carcinoma and oral, pharyngeal, laryngeal, oesophageal, and colorectal cancers), except for breast cancer. Rehabilitation treatment or abstinence was associated with significantly lower risks compared with alcohol dependence without rehabilitation or abstinence (adjusted hazard ratios: 0·58, 99·89% CI 0·56-0·60 in men and 0·62, 0·57-0·66 in women). Relative risk reductions were significant for each alcohol-associated cancer site in both sexes and supported by all subgroup and sensitivity analyses.
INTERPRETATION
Our study results support the clear benefits of alcohol rehabilitation and abstinence in reducing the risk for alcohol-associated cancers. As only two in five patients with alcohol dependence were recorded with a history of rehabilitation treatment or abstinence, a large untapped potential exists for reducing cancer incidence.
FUNDING
European Union's EU4Health programme.
Topics: Humans; Male; Female; France; Neoplasms; Middle Aged; Retrospective Studies; Alcoholism; Adult; Aged; Risk Factors; Incidence
PubMed: 38942557
DOI: 10.1016/S2468-2667(24)00107-5 -
Epilepsy & Behavior : E&B Jun 2024Many patients with glioblastoma suffer from tumor-related seizures. However, there is limited data on the characteristics of tumor-related epilepsy achieving seizure...
PURPOSE
Many patients with glioblastoma suffer from tumor-related seizures. However, there is limited data on the characteristics of tumor-related epilepsy achieving seizure freedom. The aim of this study was to characterize the course of epilepsy in patients with glioblastoma and the factors that influence it.
METHODS
We retrospectively analyzed the medical records of glioblastoma patients treated at the University Hospital Erlangen between 01/2006 and 01/2020.
RESULTS
In the final cohort of patients with glioblastoma (n = 520), 292 patients (56.2 %) suffered from tumor-related epilepsy (persons with epilepsy, PWE). Levetiracetam was the most commonly used first-line antiseizure medication (n = 245, 83.9 % of PWE). The onset of epilepsy was preoperative in 154/292 patients (52.7 %). 136 PWE (46.6 %) experienced only one single seizure while 27/292 PWE (9.2 %) developed drug-resistant epilepsy. Status epilepticus occurred in 48/292 patients (16.4 %). Early postoperative onset (within 30 days of surgery) of epilepsy and total gross resection (compared with debulking) were independently associated with a lower risk of further seizures. We did not detect dose-dependent pro- or antiseizure effects of radiochemotherapy.
CONCLUSION
Tumor-related epilepsy occurred in more than 50% of our cohort, but drug-resistant epilepsy developed in less than 10% of cases. Epilepsy usually started before tumor surgery.
PubMed: 38941953
DOI: 10.1016/j.yebeh.2024.109919 -
Journal of Psychosomatic Research Jun 2024Identifying whether experienced symptom burden in individuals with medical predisposition indicates somatic symptom disorder (SSD) is challenging, given the high overlap...
OBJECTIVE
Identifying whether experienced symptom burden in individuals with medical predisposition indicates somatic symptom disorder (SSD) is challenging, given the high overlap in the phenomenology of symptoms within this group. This study aimed to enhance understanding SSD in individuals at risk for heart failure.
SUBJECTS AND METHODS
Cross-sectional data from the Hamburg City Health Study was analyzed including randomly selected individuals from the general population of Hamburg, Germany recruited from February 2016 to November 2018. SSD symptoms assessed with the Somatic Symptom Scale-8 and the Somatic Symptom Disorder-12 scale were categorized by applying cluster analysis including 412 individuals having at least 5% risk for heart failure-related hospitalization within the next ten years. Clusters were compared for biomedical and psychological factors using ANOVA and chi-square tests. Linear regressions, adjusting for sociodemographic, biomedical, and psychological factors, explored associations between clusters with general practitioner visits and quality of life.
RESULTS
Three clusters emerged: none (n = 215; 43% female), moderate (n = 151; 48% female), and severe (n = 46; 54% female) SSD symptom burden. The SSS-8 mean sum scores were 3.4 (SD = 2.7) for no, 6.4 (SD = 3.4) for moderate, and 12.4 (SD = 3.7) for severe SSD symptom burden. The SSD-12 mean sum scores were 3.1 (SD = 2.6) for no, 12.2 (SD = 4.2) for moderate, and 23.5 (SD = 6.7) for severe SSD symptom burden. Higher SSD symptom burden correlated with biomedical factors (having diabetes: p = .005 and dyspnea: p ≤ .001) and increased psychological burden (depression severity: p ≤ .001; anxiety severity: p ≤ .001), irrespective of heart failure risk (p = .202). Increased SSD symptoms were associated with more general practitioner visits (β = 0.172; p = .002) and decreased physical quality of life (β = -0.417; p ≤ .001).
CONCLUSION
Biomedical factors appear relevant in characterizing individuals at risk for heart failure, while psychological factors affect SSD symptom experience. Understanding SSD symptom diversity and addressing subgroup needs could prove beneficial.
PubMed: 38941711
DOI: 10.1016/j.jpsychores.2024.111848 -
Neurology(R) Neuroimmunology &... Sep 2024Retinal optical coherence tomography (OCT) provides promising prognostic imaging biomarkers for future disease activity in multiple sclerosis (MS). However, raw...
BACKGROUND AND OBJECTIVES
Retinal optical coherence tomography (OCT) provides promising prognostic imaging biomarkers for future disease activity in multiple sclerosis (MS). However, raw OCT-derived measures have multiple dependencies, supporting the need for establishing reference values adjusted for possible confounders. The purpose of this study was to investigate the capacity for age-adjusted scores of OCT-derived measures to prognosticate future disease activity and disability worsening in people with MS (PwMS).
METHODS
We established age-adjusted OCT reference data using generalized additive models for location, scale, and shape for peripapillary retinal nerve fiber layer (pRNFL) and ganglion cell-inner plexiform layer (GCIP) thicknesses, involving 910 and 423 healthy eyes, respectively. Next, we transformed the retinal layer thickness of PwMS from 3 published studies into age-adjusted scores (pRNFL-z and GCIP-z) based on the reference data. Finally, we investigated the association of pRNFL-z or GCIP-z as predictors with future confirmed disability worsening (Expanded Disability Status Scale score increase) or disease activity (failing of the no evidence of disease activity [NEDA-3] criteria) as outcomes. Cox proportional hazards models or logistic regression analyses were applied according to the original studies. Optimal cutoffs were identified using the Akaike information criterion as well as location with the log-rank and likelihood-ratio tests.
RESULTS
In the first cohort (n = 863), 172 PwMS (24%) had disability worsening over a median observational period of 2.0 (interquartile range [IQR]:1.0-3.0) years. Low pRNFL-z (≤-2.04) were associated with an increased risk of disability worsening (adjusted hazard ratio (aHR) [95% CI] = 2.08 [1.47-2.95], 3.82e). In the second cohort (n = 170), logistic regression analyses revealed that lower pRNFL-z showed a higher likelihood for disability accumulation at the two-year follow-up (reciprocal odds ratio [95% CI] = 1.51[1.06-2.15], = 0.03). In the third cohort (n = 78), 46 PwMS (59%) did not maintain the NEDA-3 status over a median follow-up of 2.0 (IQR: 1.9-2.1) years. PwMS with low GCIP-z (≤-1.03) had a higher risk of showing disease activity (aHR [95% CI] = 2.14 [1.03-4.43], = 0.04). Compared with raw values with arbitrary cutoffs, applying the score approach with optimal cutoffs showed better performance in discrimination and calibration (higher Harrell's concordance index and lower integrated Brier score).
DISCUSSION
In conclusion, our work demonstrated reference cohort-based scores that account for age, a major driver for disease progression in MS, to be a promising approach for creating OCT-derived measures useable across devices and toward individualized prognostication.
Topics: Humans; Female; Male; Tomography, Optical Coherence; Adult; Middle Aged; Disease Progression; Prognosis; Multiple Sclerosis; Retina; Severity of Illness Index
PubMed: 38941572
DOI: 10.1212/NXI.0000000000200269 -
Annals of Agricultural and... Jun 2024The aim of the study was to determine the risk factors for binge-watching (BW) among Polish medical and non-medical students.
Turn on the screen, turn off the loneliness - analysis of risk factors for binge-watching among Polish medical and non-medical students. A web-based cross-sectional study.
OBJECTIVE
The aim of the study was to determine the risk factors for binge-watching (BW) among Polish medical and non-medical students.
MATERIAL AND METHODS
A STROBE-compliant cross-sectional observational study, was carried out in Poland from July 2022 - March 2023. The web-based survey consisted of a personal questionnaire, a Binge-Watching Behaviour Questionnaire, a Scale of Motivation for Watching TV Series, a shortened version of the Ryff Well-Being Scale, and the De Jong Gierveld Loneliness Scale. Inclusion criteria were being a student and providing informed consent to participate. The study involved 726 respondents (70.5% female) with an average age of 22.41 (SD=3.89), including 308 (44%) medical students.
RESULTS
In the group of Polish medical students, the regression model was well-fitted F(10,287)=30.189; p<0.001, R2=0.496, and the risk factors were escape motivation (β=0.416; p<0.001), psychological well-being (β=-0.165; p=0.003), emotional loneliness (β=0.152; p=0.014), and social loneliness (β=-0.118; p=0.031). Among Polish students of other majors, the regression model was well-fitted F(10,378)=46.188; p<0.001, R2=0.538, and the influence of escape motivation (β=0.456; p<0.001), entertainment motivation (β=0.258; p<0.001), the psychological well-being of students (β=-0.134; p=0.004), and emotional loneliness (β=0.111; p=0.032) was demonstrated.
CONCLUSIONS
Students are in a high-risk group for behavioural addiction known as binge-watching. Emotional loneliness, the desire to escape from everyday life problems, and reduced psychological well-being intensified binge-watching in all the studied groups. Entertainment motivation and social loneliness differentiated the groups of Polish medical and non-medical students in terms of BW risk factors.
Topics: Humans; Poland; Female; Male; Cross-Sectional Studies; Loneliness; Risk Factors; Young Adult; Students, Medical; Adult; Students; Surveys and Questionnaires; Adolescent; Television; Internet
PubMed: 38940111
DOI: 10.26444/aaem/183779 -
Journal of Integrative Neuroscience Jun 2024Neurofeedback is a non-invasive brain training technique used to enhance and treat hyperactivity disorder by altering the patterns of brain activity. Nonetheless, the...
BACKGROUND
Neurofeedback is a non-invasive brain training technique used to enhance and treat hyperactivity disorder by altering the patterns of brain activity. Nonetheless, the extent of enhancement by neurofeedback varies among individuals/patients and many of them are irresponsive to this treatment technique. Therefore, several studies have been conducted to predict the effectiveness of neurofeedback training including the theta/beta protocol with a specific emphasize on slow cortical potential (SCP) before initiating treatment, as well as examining SCP criteria according to age and sex criteria in diverse populations. While some of these studies failed to make accurate predictions, others have demonstrated low success rates. This study explores functional connections within various brain lobes across different frequency bands of electroencephalogram (EEG) signals and the value of phase locking is used to predict the potential effectiveness of neurofeedback treatment before its initiation.
METHODS
This study utilized EEG data from the Mendelian database. In this database, EEG signals were recorded during neurofeedback sessions involving 60 hyperactive students aged 7-14 years, irrespective of sex. These students were categorized into treatable and non-treatable. The proposed method includes a five-step algorithm. Initially, the data underwent preprocessing to reduce noise using a multi-stage filtering process. The second step involved extracting alpha and beta frequency bands from the preprocessed EEG signals, with a particular emphasis on the EEG recorded from sessions 10 to 20 of neurofeedback therapy. In the third step, the method assessed the disparity in brain signals between the two groups by evaluating functional relationships in different brain lobes using the phase lock value, a crucial data characteristic. The fourth step focused on reducing the feature space and identifying the most effective and optimal electrodes for neurofeedback treatment. Two methods, the probability index (-value) via a -test and the genetic algorithm, were employed. These methods showed that the optimal electrodes were in the frontal lobe and central cerebral cortex, notably channels C3, FZ, F4, CZ, C4, and F3, as they exhibited significant differences between the two groups. Finally, in the fifth step, machine learning classifiers were applied, and the results were combined to generate treatable and non-treatable labels for each dataset.
RESULTS
Among the classifiers, the support vector machine and the boosting method demonstrated the highest accuracy when combined. Consequently, the proposed algorithm successfully predicted the treatability of individuals with hyperactivity in a short time and with limited data, achieving an accuracy of 90.6% in the neurofeedback method. Additionally, it effectively identified key electrodes in neurofeedback treatment, reducing their number from 32 to 6.
CONCLUSIONS
This study introduces an algorithm with a 90.6% accuracy for predicting neurofeedback treatment outcomes in hyperactivity disorder, significantly enhancing treatment efficiency by identifying optimal electrodes and reducing their number from 32 to 6. The proposed method enables the prediction of patient responsiveness to neurofeedback therapy without the need for numerous sessions, thus conserving time and financial resources.
Topics: Humans; Neurofeedback; Attention Deficit Disorder with Hyperactivity; Adolescent; Male; Female; Child; Electroencephalography; Cerebral Cortex; Brain Waves; Treatment Outcome
PubMed: 38940096
DOI: 10.31083/j.jin2306121 -
Clinical Ophthalmology (Auckland, N.Z.) 2024This study investigates the association between self-reported birth weight (BW) and the prevalence of hypertensive retinopathy (HR) in a large population-based cohort in...
This study investigates the association between self-reported birth weight (BW) and the prevalence of hypertensive retinopathy (HR) in a large population-based cohort in Germany, as part of the Gutenberg Health Study (GHS). The study involved analyzing fundus photographs of 6855 participants, aged 35 to 74, to assess signs of HR, classified according to the Mitchell-Wong Classification. The research aimed to explore the correlation between fetal growth restriction indicated by BW and the frequency of HR. The results showed that the frequency of HR did not significantly differ among groups with different BW ranges. In the univariable analysis, HR was initially associated with high BW, but this association disappeared after adjusting for age, sex, and cardiovascular risk factors. No association was found between low BW and HR. The study reveals novel insights as there are no prior population-based studies specifically exploring this association.
PubMed: 38938591
DOI: 10.2147/OPTH.S461261 -
Frontiers in Psychiatry 2024In schizophrenia patients, spontaneous speech production has been hypothesized as correlating with right hemispheric activation, including the inferior frontal and...
BACKGROUND
In schizophrenia patients, spontaneous speech production has been hypothesized as correlating with right hemispheric activation, including the inferior frontal and superior temporal gyri as speech-relevant areas. However, robust evidence for this association is still missing. The aim of the present fMRI study is to examine BOLD signal changes during natural, fluent speech production in patients with schizophrenia in the chronic phase of their disease.
METHODS
Using a case-control design, the study included 15 right-handed patients with schizophrenia spectrum disorders as well as 15 healthy controls. The participants described eight pictures from the Thematic Apperception Test for 1 min each, while BOLD signal changes were measured with 3T fMRI. The occurrence of positive and negative formal thought disorders was determined using standardized psychopathological assessments.
RESULTS
We found significant BOLD signal changes during spontaneous speech production in schizophrenia patients compared to healthy controls, particularly in the right hemispheric network. A analysis showed that this right-hemispheric lateralization was mainly driven by activation during experimental rests. Furthermore, the TLI sum value in patients correlated negatively with BOLD signal changes in the right Rolandic operculum.
CONCLUSIONS
Possible underlying factors for this inverse right-hemispheric lateralization of speech-associated areas are structural changes and transmitter system alterations, as well as a lack of neural downregulation in schizophrenia patients during rest periods due to dysfunctional executive functions. When examining spontaneous speech as the most natural form of language, other influencing factors, such as social cognition or emotional processing, should be considered. Our results indicate that future studies should consider group differences during rest, which might provide additional information typically covered in differential contrasts.
PubMed: 38938468
DOI: 10.3389/fpsyt.2024.1402818 -
Frontiers in Psychiatry 2024Facial emotion recognition (FER) is a fundamental social skill essential for adaptive social behaviors, emotional development, and overall well-being. FER impairments...
OBJECTIVE
Facial emotion recognition (FER) is a fundamental social skill essential for adaptive social behaviors, emotional development, and overall well-being. FER impairments have been linked to various mental disorders, making it a critical transdiagnostic mechanism influencing the development and trajectory of mental disorders. FER has also been found to play a role in the transgenerational transmission of mental disorders, with the majority of research suggesting FER impairments in children of parents with a mental illness (COPMI). Previous research primarily concentrated on COPMI of parents with internalizing disorders, which does not cover the full spectrum of outpatient mental health service populations. Furthermore, research focuses on varying components of FER by using different assessment paradigms, making it challenging to compare study results. To address these gaps, we comprehensively investigated FER abilities in COPMI using multiple tasks varying in task characteristics.
METHODS
We included 189 children, 77 COPMI and 112 children of parents without a diagnosed mental illness (COPWMI), aged 6 to 16 years. We assessed FER using three tasks with varying task demands: an emotional Go/NoGo task, a morphing task, and a task presenting short video sequences depicting different emotions. We fitted separate two-level hierarchical Bayesian models (to account for sibling pairs in our sample) for reaction times and accuracy rates for each task. Good model fit was assured by comparing models using varying priors.
RESULTS
Contrary to our expectations, our results revealed no general FER deficit in COPMI compared to COPWMI. The Bayesian models fitted for accuracy in the morphing task and Go/NoGo task yielded small yet significant effects. However, Bayes factors fitted for the models suggested that these effects could be due to random variations or noise in the data.
CONCLUSIONS
Our study does not support FER impairments as a general feature of COPMI. Instead, individual factors, such as the type of parental disorder and the timing of its onset, may play a crucial role in influencing FER development. Future research should consider these factors, taking into account the diverse landscape of parental mental disorders.
PubMed: 38938463
DOI: 10.3389/fpsyt.2024.1366005 -
Frontiers in Psychiatry 2024Individuals with anxiety disorders (ADs) often display hypervigilance to threat information, although this response may be less pronounced following psychotherapy. This...
BACKGROUND
Individuals with anxiety disorders (ADs) often display hypervigilance to threat information, although this response may be less pronounced following psychotherapy. This study aims to investigate the unconscious recognition performance of facial expressions in patients with panic disorder (PD) post-treatment, shedding light on alterations in their emotional processing biases.
METHODS
Patients with PD (n=34) after (exposure-based) cognitive behavior therapy and healthy controls (n=43) performed a subliminal affective recognition task. Emotional facial expressions (fearful, happy, or mirrored) were displayed for 33 ms and backwardly masked by a neutral face. Participants completed a forced choice task to discriminate the briefly presented facial stimulus and an uncovered condition where only the neutral mask was shown. We conducted a secondary analysis to compare groups based on their four possible response types under the four stimulus conditions and examined the correlation of the false alarm rate for fear responses to non-fearful (happy, mirrored, and uncovered) stimuli with clinical anxiety symptoms.
RESULTS
The patient group showed a unique selection pattern in response to happy expressions, with significantly more correct "happy" responses compared to controls. Additionally, lower severity of anxiety symptoms after psychotherapy was associated with a decreased false fear response rate with non-threat presentations.
CONCLUSION
These data suggest that patients with PD exhibited a "happy-face recognition advantage" after psychotherapy. Less symptoms after treatment were related to a reduced fear bias. Thus, a differential facial emotion detection task could be a suitable tool to monitor response patterns and biases in individuals with ADs in the context of psychotherapy.
PubMed: 38938460
DOI: 10.3389/fpsyt.2024.1375751