Evidence map›Paper›PMID 37919430›Full record

ArticleHypertension research : official journal of the Japanese Society of Hypertension2024

The impact of dietary and sleep rhythms on blood pressure in children and adolescents: a cross-sectional study.

Xiaohua Liang, Xiangqian He, Qin Liu, Yanling Ren, Sipei Xu, Lan Chen, Fengming Wang, Yang Bi, Zhilian Peng

Abstract read
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In one paragraph

Article in Hypertension research : official journal of the Japanese Society of Hypertension, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Xiaohua Liang *Department of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, 400016, China. xiaohualiang@hospital.cqmu.edu.cn.
Xiangqian He *College of Medical Informatics, Medical Data Science Academy, Chongqing Medical University, Chongqing, 400014, China.
Qin LiuDepartment of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, 400016, China.
Yanling RenDepartment of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, 400016, China.
Sipei XuThe First Department of Clinical Medicine, Chongqing Medical University, Chongqing, 400016, P. R. China.
Lan ChenDepartment of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, 400016, China.
Fengming WangDepartment of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, 400016, China.
Yang BiDepartment of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, 400016, China.
Zhilian PengTraditional Chinese Medicine Hospital of Jiulongpo District, Chongqing, China.
Children's Hospital of Chongqing Medical University · CNChongqing Medical University · CNChongqing Jiulongpo People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evidence about the relationship between meal and sleep time and CVD in children is scarce. The aims of this study were to describe the association between life rhythm patterns and blood pressure in children. This research was conducted among 5,608 children aged 6 to 15 years old in Chongqing and Sichuan provinces in 2021 and 2022. Dietary and sleep rhythms information was collected. The time of the first meal and last meal, and sleep time, were obtained. The mean age was 10.48 ± 2.24 years old, with 2958 (52.75%) male participants. The mean feeding window on weekdays was 11.69 h, 12.42 h, and 13.23 h for participants aged 6-7 years old, 8-12 years old and 13-15 years old, respectively. Weekday feeding window and last mealtime were positively correlated with blood pressure levels. And the changes in the feeding window between weekdays and weekends were significantly correlated with BP. Sleep duration and change in wake time were significantly correlated with SBP. Based on these results, this study identified the optimal combination of dietary and sleep rhythm interventions for children younger than 12 years of age and aged 12 and older, respectively. Disorder dietary and sleep rhythms disorders may correlate with elevated blood pressure levels, suggesting developing optimal dietary and sleep rhythm patterns could prevent the incidence of CVDs in children. The optimal dietary rhythm was defined by the indexes of breakfast time, dinner time and daily feeding window. As good meal patterns are defined as satisfied the following three items: for children younger than 12 years should have breakfast after 7:30 am; aged 12 years and over should have breakfast after 7 am; having dinner before 6 pm; daily feeding window less than 12.5 h. And less optimal dietary rhythm should satisfy any condition or eat dinner between 6 pm and 8 pm; and poor dietary rhythm should not satisfy any of the three criteria and eat dinner after 8 pm. Children with optimal dietary rhythm (in group A) had lower SBP (P < 0.001), DBP (P = 0.002) and MAP (P < 0.001) than those in group C.

Indexed as

Cardiovascular DiseasesCircadian RhythmAdolescentBlood PressureChildCross-Sectional StudiesDietFeeding BehaviorFemaleHumansMaleSleepAdolescentsBlood PressureChildrenDietary RhythmOptimal RhythmSleep Rhythm

Identifiers

PMID37919430
OpenAlexW4388223574

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.