Evidence map›Paper›PMID 35365196›Full record

ArticleItalian journal of pediatrics2022

Association of waist circumference with blood pressure and familial dietary habits in preschool children: a cross-sectional study in northeastern China.

Xiao Tang, Yang Liu, Jiajin Hu, Lingling Zhai, Lihong Jia, Ning Ding, Yanan Ma, Deliang Wen

Open access · goldAbstract read
In one paragraph

Article in Italian journal of pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Neck Circumference and Blood Pressure Measurements among Walter Sisulu University Students.International journal of environmental research and public health · 2022
    Article
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

8 authors at 2 institutions in 1 country.

Xiao TangHealth Sciences Institute, China Medical University, Shenyang, Liaoning Province, 110122, P.R. China.
Yang LiuHealth Sciences Institute, China Medical University, Shenyang, Liaoning Province, 110122, P.R. China.
Jiajin HuHealth Sciences Institute, China Medical University, Shenyang, Liaoning Province, 110122, P.R. China.
Lingling ZhaiSchool of Public Health, China Medical University, Shenyang, Liaoning Province, 110122, P.R. China.
Lihong JiaHealth Sciences Institute, China Medical University, Shenyang, Liaoning Province, 110122, P.R. China.
Ning DingInstitute of International Medical Education, China Medical University, Shenyang, Liaoning Province, 110122, P.R. China.
Yanan MaSchool of Public Health, China Medical University, Shenyang, Liaoning Province, 110122, P.R. China.
Deliang WenHealth Sciences Institute, China Medical University, Shenyang, Liaoning Province, 110122, P.R. China. dlwen@cmu.edu.cn.
China Medical University · CNDalian Medical University · CN

Funding

China Medical Board 18-291Department of Science and Technology of Liaoning Province 2017225004National Natural Science Foundation of China 71774173
6 · The paper itself

Abstract

backgroundChildhood obesity increases the risk of elevated blood pressure (BP) in children. Body mass index (BMI), waist circumference (WC) and waist-to-height ratio (WHtR) are traditional obesity indices, but the extent to which these indices are associated with elevated BP in childhood remains debatable. Moreover, the familial dietary environment plays an important role in obesity, so it is necessary to determine the most relevant dietary factors for childhood obesity to prevent elevated BP. Our study aimed to identify the obesity indices that are most closely associated with elevated BP and then to determine the independent familial dietary factors for those obesity indices.

methodA total of 605 children aged 2 to 6 years, as well as their parents, were involved in this study. The weight, height, WC and BP of the children were measured. Information on familial environments was obtained by questionnaires completed by the parents. BMI, WC and WHtR were standardized into z scores, and categorical variables of these three obesity indices were defined as BMI Category, WC Category and WHtR Category. Logistic regression was used to analyse the associations between all obesity indices and elevated BP. Multivariate linear regression and logistic regression were used to determine the independent factors for obesity indices.

resultsThe obesity indices that were most closely associated with elevated BP were WC and WC Category. Parental BMI, birth weight, eating wheat as a staple food, appetite, eating speed, snacking while watching TV, parental encouragement to eat a diverse assortment of foods and drinking milk were independently associated with WC in both males and females. The risk of abdominal obesity increased 1.375 times in males and 1.631 times in females if appetite increased one level. If eating speed increased one level, the risk of abdominal obesity increased 1.165 times in males and 0.905 times in females. Females who drank milk more than 6 times per week had a 0.546 times lower risk of abdominal obesity.

conclusionWC was an anthropometric parameter more closely associated with elevated BP. In addition to genetics, some familial dietary factors involving eating preference, eating habits and parental feeding practice were independently associated with WC and abdominal obesity in preschool children.

Indexed as

Pediatric ObesityBlood PressureChildChild, PreschoolCross-Sectional StudiesFeeding BehaviorFemaleHumansMaleWaist CircumferenceBlood pressureBody mass indexDietWaist circumferenceWaist-to-height ratio

Identifiers

PMID35365196
PMCPMC8973802
OpenAlexW4225789431

What Socratic holds

Textmetadata
LicenceCC BY
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.