Impact of malnutrition on cardiac autonomic modulation in children

Barreto, Gláucia Siqueira Carvalho; Vanderlei, Franciele Marques; Vanderlei, Luiz Carlos Marques; Leite, Álvaro Jorge Madeiro

doi:10.1016/j.jped.2016.03.005

Cited by 18 publications

(12 citation statements)

References 23 publications

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“…As limitations of this study, we can highlight the restricted sample size and absence of analysis of other variables that may be related to the clinical evolution and ANS in preterm infants, such as the presence of neurological lesions or the occurrence of low weight and malnutrition [28, 32]. As an additional limitation, we see the lack of long-term follow-up, is the lack of published data with which to compare our results.…”

Section: Discussionmentioning

confidence: 93%

Evaluation of the autonomic nervous system by analysis of heart rate variability in the preterm infants

Filho

Oliveira

Ribeiro

et al. 2019

BMC Cardiovasc Disord

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Background Premature infants may present with damage to the autonomic nervous system (ANS), which may be related to poorer neurological development. Among the techniques used to evaluate the ANS, heart rate variability (HRV) emerged as a simple, non-invasive, and easy to apply tool. The aim of the present study was to analyze and compare HRV in preterm infants at different times of hospitalization in order to verify the possible environmental relationships or clinical evolution with HRV. Methods A longitudinal, prospective, and descriptive study with non-probabilistic sampling composed of 25 collections of preterm infants of HRV at two moments: moment I (within 15 days of birth) and moment II (after 45 days post-birth). The Polar V800 heart rate monitor was used with the Polar H10 cardiac transducer to collect HRV, which was collected in the supine position for 15 min. The HRV data were analyzed by the linear method in frequency domain and time domain and by the nonlinear method using Kubios HRV analysis software, version 3.0.2. Results There was an increase in HRV values at moment II, these being statistically significant in the SD1, ApEn, and SampEn. Data related to increased sympathetic nervous system activity, parasympathetic nervous system activity, and increased index complexity. Conclusions The data demonstrate an increase in HRV values in premature infants at moment II, demonstrating a possible development in the maturation of the ANS during hospitalization. Trial registration: RBR-3x7gz8 retrospectively registered. Electronic supplementary material The online version of this article (10.1186/s12872-019-1166-4) contains supplementary material, which is available to authorized users.

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Section: Discussionmentioning

confidence: 93%

Evaluation of the autonomic nervous system by analysis of heart rate variability in the preterm infants

Filho

Oliveira

Ribeiro

et al. 2019

BMC Cardiovasc Disord

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“…Para mais, em outro estudo realizado com 70 crianças desnutridas, observou-se diminuição tanto do tônus simpático como do parassimpático (BF=343,43 ± 259,06; AF= 208,69 ± 176,01; BF/AF=2,33 ± 1,67; SDNN=32,09 ± 11,16; RMSSD= 21,54 ± 9,48; pNN50= 5,35 ± 6.62), bem como, da pressão arterial sistólica e diastólica, com elevação da FC de repouso. Essas adaptações foram atribuídas ao quadro de desnutrição apresentado pelos participantes do estudo [7], o que torna fortemente sugestivo que o quadro de desnutrição e caquexia, comumente apresentado por pessoas com PC, possa influenciar na atividade simpato-vagal destes indivíduos.…”

Section: Discussionunclassified

Modulação autonômica da frequência cardíaca em crianças e jovens com paralisia cerebral

Ferreira

Torres

Ávila³

et al. 2021

Fisioter Bras

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Introdução: A paralisia cerebral é uma doença que causa distúrbios neuromusculares, doenças cardiovasculares, além de distúrbios autonômicos e homeostáticos. Objetivo: Avaliar a modulação autonômica cardíaca de crianças e jovens com PC. Métodos: Estudo de delineamento transversal e observacional de carácter quantitativo. Foram coletados os intervalos R-R (IRR) do eletrocardiograma de 05 voluntários cadeirantes, com idade de 06 a 18 anos com PC através do cardiofrequencimetro Polar modelo V800®. Resultados: Idade média foi de 12,4 anos, ambos os gêneros, massa corpórea de 35,1 kg, estatura de 1,39 m e índice de massa corpórea 16,8 kg/m2 equivalente à desnutrição. Os dados apresentam a modulação autonômica cardíaca no domínio do tempo, as variáveis do desvio-padrão de todos os intervalos RR normais 60,0 ms, raiz-quadrada da média da soma dos quadrados das diferenças entre os IRR normais 60,3 ms, porcentagem dos IRR adjacentes maiores que 50 ms 16,1 % e no domínio da frequência a baixa frequência cardíaca (un) 55,7, a alta frequência cardíaca (un) 44,2, a razão da alta com a baixa frequência cardíaca 2,3. Conclusão: As crianças e adolescentes com paralisia cerebral têm uma baixa variabilidade da frequência cardíaca, com alta probabilidade de desenvolver doenças cardiovasculares, devido ao sedentarismo.Palavras-chave: sistema nervoso autônomo, frequência cardíaca, paralisia cerebral.

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“…This type of approach could provide inputs for understanding stress levels through the assessment of facial patterns [44,45]. With regard to ECG data, studies [46][47][48] have demonstrated that this noninvasive biomarker can be used to measure malnutrition, in addition to the use of some specific standards for proxies related to temperature increase. The data from the proximity sensors indicated that nudges sent via SMS text messaging played a role in activating behavior change, and despite being an observation not yet reported in the literature, a similar approach used in Africa showed promising results for social network pattern studies [49].…”

Section: Comparison With Prior Workmentioning

confidence: 99%

Combining Wearable Devices and Mobile Surveys to Study Child and Youth Development in Malawi: Implementation Study of a Multimodal Approach

Neto

Haenni

Phuka

et al. 2021

JMIR Public Health Surveill

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Background Multimodal approaches have been shown to be a promising way to collect data on child development at high frequency, combining different data inputs (from phone surveys to signals from noninvasive biomarkers) to understand children’s health and development outcomes more integrally from multiple perspectives. Objective The aim of this work was to describe an implementation study using a multimodal approach combining noninvasive biomarkers, social contact patterns, mobile surveying, and face-to-face interviews in order to validate technologies that help us better understand child development in poor countries at a high frequency. Methods We carried out a mixed study based on a transversal descriptive analysis and a longitudinal prospective analysis in Malawi. In each village, children were sampled to participate in weekly sessions in which data signals were collected through wearable devices (electrocardiography [ECG] hand pads and electroencephalography [EEG] headbands). Additionally, wearable proximity sensors to elicit the social network were deployed among children and their caregivers. Mobile surveys using interactive voice response calls were also used as an additional layer of data collection. An end-line face-to-face survey was conducted at the end of the study. Results During the implementation, 82 EEG/ECG data entry points were collected across four villages. The sampled children for EEG/ECG were 0 to 5 years old. EEG/ECG data were collected once a week. In every session, children wore the EEG headband for 5 minutes and the ECG hand pad for 3 minutes. In total, 3531 calls were sent over 5 weeks, with 2291 participants picking up the calls and 984 of those answering the consent question. In total, 585 people completed the surveys over the course of 5 weeks. Conclusions This study achieved its objective of demonstrating the feasibility of generating data through the unprecedented use of a multimodal approach for tracking child development in Malawi, which is one of the poorest countries in the world. Above and beyond its multiple dimensions, the dynamics of child development are complex. It is the case not only that no data stream in isolation can accurately characterize it, but also that even if combined, infrequent data might miss critical inflection points and interactions between different conditions and behaviors. In turn, combining different modes at a sufficiently high frequency allows researchers to make progress by considering contact patterns, reported symptoms and behaviors, and critical biomarkers all at once. This application showcases that even in developing countries facing multiple constraints, complementary technologies can leverage and accelerate the digitalization of health, bringing benefits to populations that lack new tools for understanding child well-being and development.

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Impact of malnutrition on cardiac autonomic modulation in children

Abstract: Malnourished children present changes in cardiac autonomic modulation, characterized by reductions in both sympathetic and parasympathetic activity, as well as increased heart rate and decreased blood pressure.

Cited by 18 publications

References 23 publications

Evaluation of the autonomic nervous system by analysis of heart rate variability in the preterm infants

Evaluation of the autonomic nervous system by analysis of heart rate variability in the preterm infants

Modulação autonômica da frequência cardíaca em crianças e jovens com paralisia cerebral

Combining Wearable Devices and Mobile Surveys to Study Child and Youth Development in Malawi: Implementation Study of a Multimodal Approach

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Impact of malnutrition on cardiac autonomic modulation in children

Abstract: Malnourished children present changes in cardiac autonomic modulation, characterized by reductions in both sympathetic and parasympathetic activity, as well as increased heart rate and decreased blood pressure.

Cited by 18 publications

References 23 publications

Evaluation of the autonomic nervous system by analysis of heart rate variability in the preterm infants

Evaluation of the autonomic nervous system by analysis of heart rate variability in the preterm infants

Modulação autonômica da frequência cardí­aca em crianças e jovens com paralisia cerebral

Combining Wearable Devices and Mobile Surveys to Study Child and Youth Development in Malawi: Implementation Study of a Multimodal Approach

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Resources

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Modulação autonômica da frequência cardíaca em crianças e jovens com paralisia cerebral