Cardiac vagal imbalance to the isometric sustained weight test in adolescents with emotional eating behavior

González-Velázquez, Víctor Ernesto; Pedraza-Rodríguez, Elys María; Carrazana‐Escalona, Ramón; Moreno-Padilla, María; Muñoz-Bustos, Gustavo Alejandro; Sánchez-Hechavarría, Miguel Enrique

doi:10.1016/j.physbeh.2020.112994

Cited by 5 publications

(5 citation statements)

References 42 publications

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“…Importantly, the eating habit patterns associated with high occlusal force were also associated with an increase in the pre-eating HF component of heart rate variability. Eating behavior (including breakfast skipping), appetite, and social factors (loneliness) affect the parasympathetic nervous system and vagal tone ( Ozpelit & Ozpelit, 2017 ; Yoshizaki et al, 2013 ; Wilson et al, 2019 ; González-Velázquez et al, 2020 ). Thus, these may be common factors in mastication, occlusal force, and pre-eating vagal tone.…”

Section: Discussionmentioning

confidence: 99%

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Common eating habit patterns are associated with a high maximum occlusal force and pre-eating cardiac vagal tone

Okada

Okada²,

Kakehashi

2023

PeerJ

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Background Masticatory function is associated with nervous function, including autonomic nervous function, and both functions are influenced by human habits. In a previous preliminary study of 53 young women, we found that eating habit patterns were associated with occlusal force as an indicator of masticatory function. Therefore, we hypothesized that relationships exist between occlusal force, the autonomic nervous system, and eating habit patterns. Methods To test our hypothesis, we analyzed the relationship between heart rate variability measured before and after lunch in 53 young women, and measured and surveyed maximum occlusal force and eating habit patterns, respectively, in these participants. Results High occlusal force was associated with an increased high-frequency (HF) component (vagal tone index) of the heart rate variability index immediately before lunch (standardized regression coefficient (β) = 0.417, P = 0.002). Each of the eating habit items surveyed in a questionnaire showed a similar tendency for the HF component immediately before lunch and maximum occlusal force; in particular, “Habit of eating breakfast” and “Number of meals per day” were significantly associated with both variables. Additionally, total eating habit scores related to higher maximum occlusal force were associated with an increase in the HF component immediately before lunch (β = 0.514, P < 0.001). The maximum occlusal force and the pre-eating HF component values were stratified by total eating habit scores (into low, medium, high categories), and the high scores were significantly higher than the medium or low scores. Conclusions Occlusal force and the pre-eating cardiac vagal response of individuals were characterized by their common eating habit patterns, indicating that eating habits may be simultaneously associated with the development of masticatory function, nervous system development, and cardiovascular rhythm. Although further research is needed to investigate these relationships in detail, our findings provide insights that will inform the study of physical functions, neurodevelopment, habitual behaviors, and health in humans.

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Section: Discussionmentioning

confidence: 99%

“…During food intake, the nervous system responds to images and environmental factors ( e.g. , social contact and loneliness) ( Wilson et al, 2019 ; González-Velázquez et al, 2020 ; Takada et al, 2018 ). Therefore, a network through the midbrain may control human cognitive behavior ( Wei, Chen & Wu, 2018 ).…”

Section: Discussionmentioning

confidence: 99%

Common eating habit patterns are associated with a high maximum occlusal force and pre-eating cardiac vagal tone

Okada

Okada²,

Kakehashi

2023

PeerJ

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“…González-Velázquez et al [120] investigated the relationship between emotional eating behavior and ECG through clustering. They performed K-means (K=2) on ECGs acquired from 52 young adults to partition individuals with and without emotional eating behavior.…”

Section: B Ecg and State Of The Mindmentioning

confidence: 99%

“…Men were twice as likely to be in clusters with higher resting blood pressure and increased cardiac output when performing the stress-induced task. [120] Investigate relationship between emotional eating behavior and ECG ECG, Self-report questionnaires K-means Two clusters separating individuals with and without emotional eating behavior. Emotional eating behavior was more common among overweight individuals.…”

Section: Mixture Modlesmentioning

confidence: 99%

Unsupervised ECG Analysis: A Review

Nezamabadi

Sardaripour

Haghi

et al. 2023

IEEE Rev. Biomed. Eng.

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Electrocardiography is the gold standard technique for detecting abnormal heart conditions. Automatic detection of electrocardiogram (ECG) abnormalities helps clinicians analyze the large amount of data produced daily by cardiac monitors. As the number of abnormal ECG samples with cardiologist-supplied labels required to train supervised machine learning models is limited, there is a growing need for unsupervised learning methods for ECG analysis. Unsupervised learning aims to partition ECG samples into distinct abnormality classes without cardiologistsupplied labels-a process referred to as ECG clustering. In addition to abnormality detection, ECG clustering has recently discovered inter and intra-individual patterns that reveal valuable information about the whole body and mind, such as emotions, mental disorders, and metabolic levels. ECG clustering can also resolve specific challenges facing supervised learning systems, such as the imbalanced data problem, and can enhance biometric systems. While several reviews exist on supervised ECG systems, a comprehensive review of unsupervised ECG analysis techniques is still lacking. This study reviews ECG clustering techniques developed mainly in the last decade. The focus will be on recent machine learning and deep learning algorithms and their practical applications. We critically review and compare these techniques, discuss their applications and limitations, and provide future research directions. This review provides further insights into ECG clustering and presents the necessary information required to adopt the appropriate algorithm for a specific application.

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“…The stress of psychological origin begins with an emotional reaction whose intensity on the organism is linked to various psychosocial factors to which the human being is vulnerable, having the ability to elicit a response that has been called «stress response». (1) Acute psychological stress is known to cause neural response with the release of hormonal and humoral factors activated by the autonomic nervous system (ANS) in the hypothalamus. It is known that it is associated with developmental and psychopathological disorders, (2) as well as it constitutes a risk factor to many chronic non-communicable diseases.…”

Section: Introductionmentioning

confidence: 99%

Temporal inequality of RR intervals like a new psychophysiological indicator of mental stress

Sanchez-Hechavarria,

Carrazana-Escalona,

Cortina-Reyna

et al. 2024

Salud, Ciencia y Tecnología

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Introduction: Gini coefficient (Gini index or Gini ratio) is a parameter that is normally used in economy to measure the income distribution in a country or in the whole wide world, but it can be used to measure any kind of distribution. In the present study it is exposed an innovative proposal of application of the Gini coefficient to Heart Rate Variability (HRV) like a psychophysiological indicator of mental stress.Objective: To assess the application of the Gini coefficient as a psychophysiological indicator of mental stress.Methods: A non-observational crossover study, carried out in the biomedical laboratory of the Medical University of Santiago de Cuba. The involved participants are 13 healthy individuals (age 19 ± 1.5 years). Heart rate was continuously recorded at rest (5 minutes) and during a mental stress (5 minutes). Linear and nonlinear methods of heart rate variability were assessed, and 2 new indicators (Sequential and Non-Sequential Gini) were calculated and proposed to measure HRV differences between states.Results: When comparing rest and mental stress conditions, a sensible decrease of the traditional indicators of the HRV was founded (p<0,05), an increase of the heart rate (p=0,004) and of the Sequential Gini (p=0,004) and Non-Sequential Gini (p=0,04).Conclusions: The results suggest that temporary inequality of the RR intervals analyzed from the Gini coefficient could be an adequate indicator of sympathetic activity present during the mental stress.

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Cardiac vagal imbalance to the isometric sustained weight test in adolescents with emotional eating behavior

Cited by 5 publications

References 42 publications

Common eating habit patterns are associated with a high maximum occlusal force and pre-eating cardiac vagal tone

Common eating habit patterns are associated with a high maximum occlusal force and pre-eating cardiac vagal tone

Unsupervised ECG Analysis: A Review

Temporal inequality of RR intervals like a new psychophysiological indicator of mental stress

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