View clinical trials related to Behavior, Addictive.
Filter by:To determine the nicotine threshold dose(s) for discrimination, subjective-rewarding effects, -and reinforcement in smokers with different levels of dependence.
The primary aim of this study is to evaluate the therapeutic potential of real-time functional magnetic resonance imaging (MRI) neurofeedback in alleviating internet gaming disorder (IGD) symptoms by training individuals with such symptoms to down-regulate the activity in their reward-processing-related midbrain regions.
This study experimentally investigates whether a reduction in ultra-processed (UP) food intake (1) causes aversive withdrawal symptoms in humans, (2) increases the motivational salience of UP food cues and, if so, (3) whether these factors undermine the ability to adhere to a low-UP diet. The following aims and hypotheses are tested: Aim 1: To investigate whether aversive physical, cognitive, and affective withdrawal symptoms emerge in response to reduced UP food intake compared to a high-UP diet, and whether this predicts failure to adhere to a low-UP diet. H1a: Reducing UP food intake will result in aversive physical, cognitive, and affective withdrawal symptoms, as indicated by 1) ecological momentary assessment (EMA) reports of aversive withdrawal symptoms, and 2) heart rate reactivity and subjective distress to an in-lab stressor. H1b: Aversive symptoms of UP food withdrawal will predict greater UP food intake and higher blood glucose levels when trying to adhere to a low UP diet. Aim 2: To investigate whether increased motivational salience of UP food cues emerges in response to reduced UP food intake, and whether this predicts failure to maintain a low-UP diet. H2a: Reducing UP food intake will result in increased motivational salience of UP food cues, as indicated by 1) EMA reports of UP food craving, 2) heart rate reactivity and subjective craving in a simulated fast-food restaurant, 3) heightened reinforcement value for UP food relative to other reinforcers, and 4) greater reward-related neural response to UP food cues. H2b: Increased motivational salience of UP food cues will predict greater UP food intake and higher blood glucose levels when trying to adhere to a low UP diet.
In the last decade, infants are born into a social environment in which the smartphone has become an essential part of our lives. Smartphone use draws the mother's attention during mother-infant interactions and thus may affect the infant development as well as maternal self-efficacy. However, the effects of smartphone use reduction among breastfeeding mothers during their interactions with their infants have not been studied yet. In the present study, we propose to evaluate a "SMaRT Mom" intervention that we have developed, to manage and reduce smartphone use during breastfeeding. The purpose of the study is to evaluate the effects of the SMaRT Mom intervention on breastfeeding mothers' biobehavioral mechanisms, self-efficacy and the socioemotional characteristics of their infants. This will extend our knowledge of the peculiarities of early mother-infant interactions in the digital era, when smartphones play a critical role.
The purpose of this research study is to determine whether using a web-based intervention is feasible, acceptable, and helpful for people who engage in hazardous alcohol use and want to cut down or quit.
to investigate the effect of mobile phone addiction with forward head posture on the endurance of deep neck flexor muscles, respiratory functions, pain pressure threshold , and neck functional disability level.
After the rapid increase in the use of the Internet in the world, it has brought some negativities.People with internet addiction describe all the time they spend without internet as worthless and they want to be on the internet with an increasing desire.
Sport addiction (or exercise addiction) has been recognized as a pathology by the World Health Organization since 2011. However, it is still relatively under-researched. It is one of the so-called behavioral addictions and has long-term negative consequences for physical, psychological and social health, such as : isolation ; frequent injuries; co-addiction with or as a result of sports'. The study is aimed in particular at military physicians and will target a population where sport is an integral part of the job and where sporting performance is valued: military personnel. The aim of this study is to explain and try to understand this pathology through the experiences of those who suffer from it. Therefore, investigators have chosen to conduct a qualitative study inspired by the embedded theory. Semi-structured individual interviews will be conducted using an interview guide. This guide, consisting of 5 or 6 open-ended questions, will help to set the general direction of the interview without preventing the participant from deviating. The interview guide may evolve as the interviews progress, enriched by any new ideas or themes that emerge.
It is described in the literature a higher prevalence of pain in patients with an addiction but there are few studies describing the pain profile of patients with use disorder. Pain has a very negative impact on the quality of life of opioid substituted patients. Improving knowledge on this point would make it possible to better guide specific care. The investigator proposes to conduct a single-center descriptive observational study using questionnaires, without changing the management of patients with chronic pain. The primary objective of the study is to determine the prevalence of chronic pain in patients with substance addiction hospitalized for addiction treatment.
Based on the biological-psychology-sociological medicine pattern, this study aims to construction an early warning model of the New Psychoactive Substances (NPS) using for adolescents aged 14-35 years old. This study intends to obtain the data related to the behavioral expression of addiction susceptibility genes, adverse childhood experience, cognition, resistance and the use of NPS in adolescents by questionnaire survey (sample size: 200), and then use logistic regression and machine learning to construct an early warning model.