Evidence map›Paper›PMID 34915511›Full record

ArticleObesity facts2022

Association between Marginally Low Birth Weight and Obesity-Related Outcomes and Indirect Effects via Attention-Deficit Hyperactivity Disorder and Abnormal Eating.

Xiaotong Wei, Jiajin Hu, Yang Liu, Yanan Ma, Deliang Wen

Abstract read
In one paragraph

Article in Obesity facts, 2022. 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
–field-weighted citation impact
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

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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.

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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

5 authors.

Xiaotong WeiInstitute of Health Sciences, China Medical University, Shenyang, China, xtwei@cmu.edu.cn.
Jiajin HuInstitute of Health Sciences, China Medical University, Shenyang, China.
Yang LiuInstitute of Health Sciences, China Medical University, Shenyang, China.
Yanan MaDepartment of Epidemiology and Health Statistics, School of Public Health, China Medical University, Shenyang, China.
Deliang WenInstitute of Health Sciences, China Medical University, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEvidence of the association between children born with marginally low birth weight (MLBW) and obesity-related outcomes was controversial, and our study aimed to examine the role of attention-deficit hyperactivity disorder (ADHD) and/or abnormal eating in these associations.

methodsA retrospective cohort study consisting of 677 Chinese children was conducted. Obesity-related outcomes (body mass index [BMI], waist circumference [WC], skinfold thickness [SF], body fat, blood pressure, lipids, and blood glucose), behaviour problems (ADHD and eating behaviour) and birth weight were collected. Mediation analyses were used to explore whether ADHD and/or abnormal eating was an intermediary factor in the MLBW-OB relationship.

resultsChildren with MLBW tended to have higher SF, triglycerides, fasting blood glucose, waistline, body fat, and abdominal obesity risks. Birth weight was negatively related to obesity-related outcomes, and the associations were mediated, partially, by the increased risk of ADHD or abnormal eating behaviour after adjustment for the BMI Z score. Furthermore, lower birth weight predicted higher WC indirectly through emotional overeating caused by ADHD (β: -0.10; 95% confidence interval: -0.19, -0.01).

conclusionOur study suggests the hypothetical role of ADHD and abnormal eating as underlying mechanisms in the association between MLBW and obesity-related outcomes, providing novel scientific evidence for childhood development interventions.

Indexed as

Attention Deficit Disorder with HyperactivityBirth WeightBlood GlucoseBody Mass IndexChildHumansInfant, Low Birth WeightInfant, NewbornObesityRetrospective StudiesBlood GlucoseAttention-deficit hyperactivity disorderBirth weightEating behaviourMetabolic syndromeObesity

Identifiers

PMID34915511
PMCPMC9021619

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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 OpenQuestion graph.