Publications by authors named "Aarts E"

The hidden Markov model is a popular modeling strategy for describing and explaining latent process dynamics. There is a lack of information on the estimation performance of the Bayesian hidden Markov model when applied to categorical, one-level data. We conducted a simulation study to assess the effect of the 1) number of observations (250-8.

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The 2022 American Society for Metabolic and Bariatric Surgery (ASMBS) and International Federation for the Surgery of Obesity and Metabolic Disorders (IFSO) updated the indications for metabolic and bariatric surgery (MBS), replacing the previous guidelines established by the National Institutes of Health (NIH) over 30 years ago. The evidence supporting these updated guidelines has been strengthened to assist metabolic and bariatric surgeons, nutritionists, and other members of multidisciplinary teams (MDTs), as well as patients. This study aims to assess the level of evidence and the strength of recommendations compared to the previously published criteria.

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Article Synopsis
  • The ASMBS and IFSO updated the guidelines for Metabolic and Bariatric Surgery in 2022, replacing 30-year-old NIH recommendations.
  • These new guidelines are based on stronger evidence and are designed to support healthcare professionals and patients in making informed decisions about surgery.
  • The study evaluates the quality of evidence and the effectiveness of these updated recommendations compared to the old criteria.
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Background: Digital health interventions show promise for weight management. However, few text-based behavior change interventions have been designed to support patients receiving intragastric balloons, and none have simultaneously evaluated weight loss, psychological well-being, and behavior change despite the crucial interplay of these factors in weight management.

Objective: This study aims to assess whether a health coach-led, asynchronous, text-based digital behavior change coaching intervention (DBCCI) delivered to participants receiving an intragastric balloon and its aftercare program was feasible and acceptable to participants and supported improved outcomes, including weight loss, psychological well-being, and lifestyle behavior change conducive to weight loss maintenance.

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Article Synopsis
  • The study highlights the increasing importance of metabolic and bariatric surgery (MBS) in addressing global obesity, emphasizing the need for rigorous academic and fellowship training for surgeons.
  • A Modified Delphi method involving 89 surgeons from 42 countries was used to establish expert consensus on the necessary criteria for surgeons to obtain privileges for performing MBS, reaching agreement on 29 out of 30 statements.
  • Key consensus points include the requirement for surgeons to hold a general surgery degree, complete a dedicated fellowship, and adhere to defined learning curves for various MBS procedures, alongside maintaining patient data and collaborating in a multidisciplinary team.
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Background: Depression and obesity are associated with impaired inhibitory control. Behavioral evidence indicates an exacerbating additive effect when both conditions co-occur. However, the underlying neural mechanisms remain unclear.

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Background: Evidence on the effectiveness of multidomain lifestyle interventions to prevent cognitive decline in older people without dementia is mixed. Embedded in the World-Wide FINGERS initiative, FINGER-NL aims to investigate the effectiveness of a 2-year multidomain lifestyle intervention on cognitive functioning in older Dutch at risk individuals.

Methods: Multi-center, randomized, controlled, multidomain lifestyle intervention trial with a duration of 24 months.

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Purpose: There is a lack of evidence for treatment of some conditions including complication management, suboptimal initial weight loss, recurrent weight gain, or worsening of a significant obesity complication after one anastomosis gastric bypass (OAGB). This study was designed to respond to the existing lack of agreement and to provide a valuable resource for clinicians by employing an expert-modified Delphi consensus method.

Methods: Forty-eight recognized bariatric surgeons from 28 countries participated in the modified Delphi consensus to vote on 64 statements in two rounds.

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Bipolar disorder (BD) is a chronic psychiatric condition characterized by large episodic changes in mood and energy. Recently, BD has been proposed to be conceptualized as chronic cyclical mood instability, as opposed to the traditional view of alternating discrete episodes with stable periods in-between. Recognizing this mood instability may improve care and call for high-frequency measures coupled with advanced statistical models.

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Background: Diet quality during pregnancy is important for maternal health and offspring development. However, national dietary recommendations are not always met. A potential barrier for healthy food choices might be the experience of stress.

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Cognitive impairment can negatively influence daily functioning. Current cognitive measures are essential for diagnosing cognitive impairment, but findings on these tests do not always represent the level of cognitive functioning in daily life. Therefore, this study aimed to design a structured measurement instrument to observe and rate the impact of cognitive impairment in daily life, named the (CDL).

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Article Synopsis
  • * A study using a consensus method involved 78 bariatric surgeons globally, who agreed on 54 statements regarding when to use MBS for Class I and II obesity, determining a 70% agreement threshold.
  • * The experts concluded that MBS is cost-effective for Class II obesity and Class I obesity with inadequate weight loss from non-surgical methods, and identified specific surgical options including intra-gastric balloon, endoscopic sleeve gastroplasty, sleeve gastrectomy, Roux-en-Y gastric bypass, and one
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This study aims to associate the incidence of postoperative vasoplegia and short-term survival to the implantation of various left ventricular assist devices differing in hemocompatibility and flow profiles. The overall incidence of vasoplegia was 25.3% (73/289 patients) and 30.

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Background: Soluble suppression of tumorigenicity-2 (sST2) predicts mortality in patients with heart failure. The predictive value of sST2 in patients with a left ventricular assist device remains unknown. Therefore, we studied the relationship between sST2 and outcome after left ventricular assist device implantation.

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Most experimental avoidance paradigms lack either control over the experimental situation or simplify real-life avoidance behavior to a great extent, making it difficult to generalize the results to the complex approach-avoidance situations that anxious individuals face in daily life. The current study aimed to examine the usability of our recently developed free-exploratory avoidance paradigm in Virtual Reality (VR) that allows for the assessment of subjective as well as behavioral avoidance in participants with varying levels of spider fear. In a VR escape room, participants searched for cues to decipher a code-locked door.

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Background: Irritable bowel syndrome (IBS) is a highly prevalent disorder for which treatment options such as medication, diets, and hypnotherapy either have shown limited effect or relieve symptoms in only a limited subset of patients. Abdominal pain is the key criterion for the diagnosis and is deemed the most distressing IBS symptom, and the most disruptive of everyday life. A growing body of research demonstrates the effect of Eye Movement Desensitization and Reprocessing (EMDR) on chronic pain.

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Aims: The number of patients on left ventricular assist device (LVAD) support increases due to the growing number of patients with end-stage heart failure and the limited number of donor hearts. Despite improving survival rates, patients frequently suffer from adverse events such as cardiac arrhythmia and major bleeding. Telemonitoring is a potentially powerful tool to early detect deteriorations and may further improve outcome after LVAD implantation.

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Aims: Non-invasive remote patient monitoring is an increasingly popular technique to aid clinicians in the early detection of worsening heart failure (HF) alongside regular follow-ups. However, previous studies have shown mixed results in the performance of such systems. Therefore, we developed and evaluated a personalized monitoring algorithm aimed at increasing positive-predictive-value (PPV) (i.

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Introduction: Accumulating evidence suggests that increased neural responses during the anticipation of high-calorie food play an important role in the tendency to overeat. A promising method for counteracting enhanced food anticipation in overeating might be mindfulness-based interventions (MBIs). However, the neural mechanisms by which MBIs can affect food reward anticipation are unclear.

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Background: Algorithms to monitor pump parameters are needed to further improve outcomes after left ventricular assist device (LVAD) implantation. Previous research showed a restored circadian rhythm in pump parameters in patients on HeartWare (HVAD) support. Circadian patterns in HeartMate3 (HM3) were not studied before, but this is important for the development of LVAD monitoring algorithms.

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A body of pre-clinical evidence shows how the gut microbiota influence brain functioning, including brain connectivity. Linking measures of brain connectivity to the gut microbiota can provide important mechanistic insights into the bi-directional gut-brain communication. In this systematic review, we therefore synthesized the available literature assessing this association, evaluating the degree of consistency in microbiota-connectivity associations.

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Background And Objectives: Bariatric surgery (BS) is an effective treatment for obesity. However, some individuals experience insufficient weight loss after surgery. Therefore, we investigated whether cognitive control affects weight loss after Roux-en-Y gastric bypass (RYGB).

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Neural populations, rather than single neurons, may be the fundamental unit of cortical computation. Analysing chronically recorded neural population activity is challenging not only because of the high dimensionality of activity but also because of changes in the signal that may or may not be due to neural plasticity. Hidden Markov models (HMMs) are a promising technique for analysing such data in terms of discrete latent states, but previous approaches have not considered the statistical properties of neural spiking data, have not been adaptable to longitudinal data, or have not modelled condition-specific differences.

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