Assessing autonomic control of metabolic syndrome by principal component analysis: a data driven methodology

Fonseca-Pinto, Rui; Lopes, Nuno Vieira; Brito, Nuno V.; Lages, Marlene

doi:10.1007/s12553-019-00384-7

Cited by 2 publications

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“…Different obesity phenotypes are associated with additional cardiovascular risk ( 8 , 9 ). Some of the phenotypes described in the literature are Metabolically Healthy Obesity, in which a high BMI is associated with an apparently healthy metabolic profile, lower visceral adipose tissue, high values of lean mass, and high cardiorespiratory fitness.…”

Section: Introductionmentioning

confidence: 99%

Linking dietary intake, circadian biomarkers, and clock genes on obesity: A study protocol

2023

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BackgroundThe prevalence of obesity continues to rise, and although this is a complex disease, the screening is made simply with the value of the Body Mass Index. This index only considers weight and height, being limited in portraying the multiple existing obesity phenotypes. The characterization of the chronotype and circadian system as an innovative phenotype of a patient’s form of obesity is gaining increasing importance for the development of novel and pinpointed nutritional interventions.ObjectiveThe present study is a prospective observational controlled study conducted in Portugal, aiming to characterize the chronotype and determine its relation to the phenotype and dietary patterns of patients with obesity and healthy participants.MethodsAdults with obesity (study group) and healthy adults (control group), aged between 18 and 75, will be enrolled in this study. Data will be collected to characterize the chronotype, dietary intake, and sleep quality through validated questionnaires. Body composition will also be assessed, and blood samples will be collected to quantify circadian and metabolic biomarkers.DiscussionThis study is expected to contribute to a better understanding of the impact of obesity and dietary intake on circadian biomarkers and, therefore, increase scientific evidence to help future therapeutic interventions based on chronobiology, with a particular focus on nutritional interventions.

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Section: Introductionmentioning

confidence: 99%

Linking dietary intake, circadian biomarkers, and clock genes on obesity: A study protocol

2023

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“…Analysis of biomedical signals is always a tending field in biomedical engineering. In this special issue, assessing autonomic control of metabolic diseases by principal component analysis is presented by Pinto et al [8], as well as results of audiovisual stimulation-based emotion classification by correlated EEG channels by Ahirwal et al [9]. This special editorial presents the topic of genetic and pharmaceutical engineering as well.…”

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Editorial to the special issue on CMBEBIH 2019: biomedical engineering - share the vision

Badnjević

2020

Health Technol.

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Assessing autonomic control of metabolic syndrome by principal component analysis: a data driven methodology

Cited by 2 publications

References 18 publications

Linking dietary intake, circadian biomarkers, and clock genes on obesity: A study protocol

Linking dietary intake, circadian biomarkers, and clock genes on obesity: A study protocol

Editorial to the special issue on CMBEBIH 2019: biomedical engineering - share the vision

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