Evidence map›Paper›PMID 34960008›Full record

ArticleNutrients2021

Modeling Parental Influence on Food Consumption among Chinese Adolescents through Self-Efficacy: A Path Analysis.

Jialin Fu, Fang Liang, Yechuang Wang, Nan Qiu, Kai Ding, Jing Zeng, Justin Brian Moore, Rui Li

Abstract read
In one paragraph

Article in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

5 citing papers in PubMed.

  1. Article
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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

8 authors.

Jialin FuDepartment of Healthcare Management, School of Public Health, Wuhan University, Wuhan 430071, China.
Fang LiangDepartment of Healthcare Management, School of Public Health, Wuhan University, Wuhan 430071, China.
Yechuang WangDepartment of Healthcare Management, School of Public Health, Wuhan University, Wuhan 430071, China.
Nan QiuDepartment of Healthcare Management, School of Public Health, Wuhan University, Wuhan 430071, China.
Kai DingDepartment of Healthcare Management, School of Public Health, Wuhan University, Wuhan 430071, China.
Jing ZengDepartment of Healthcare Management, School of Public Health, Wuhan University, Wuhan 430071, China.
Justin Brian MooreDepartment of Implementation Science, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA.ORCID 0000-0003-4059-0538
Rui LiDepartment of Healthcare Management, School of Public Health, Wuhan University, Wuhan 430071, China.ORCID 0000-0001-7698-6927

Funding

National Natural Science Foundation of China 81402668
6 · The paper itself

Abstract

This study aimed to investigate the associations between perceived parental control, perceived parental modeling and parent-teen co-decision making, and fruit and vegetable (F&V) and sugar-sweetened beverage and junk food (S&J) consumption among Chinese adolescents, and examine whether self-efficacy mediates the associations. Data were collected in a cross-sectional survey of Chinese adolescents carried out in the fall of 2019. The questionnaires were adapted from the Family Life, Activity, Sun, Health, and Eating (FLASHE) Study. Ordinary least-squares regressions and a path analysis were performed to evaluate the hypothesized associations. The final sample included 3595 Chinese adolescents (mean (SD) age, 14.67 (1.73) years; 52.82% (

Indexed as

Adolescent BehaviorFeeding BehaviorParent-Child RelationsParentsSelf EfficacyAdolescentAdultCross-Sectional StudiesData CollectionFemaleHumansMaleSurveys and Questionnairesadolescentfood consumptionparental controlparental modelingparent–teen co-decision makingself-efficacy

Identifiers

PMID34960008
PMCPMC8705551

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.