Evidence map›Paper›PMID 30267198›Full record

ArticleJournal of immigrant and minority health2019

Perceived Discrimination, Screen Use, and BMI Among Rural-to-Urban Migrant Children in China: Evidence from a Nutrition Transition Context.

Miao Li, Sarah Mustillo, Weidong Wang

Abstract read
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In one paragraph

Article in Journal of immigrant and minority health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 3 institutions in 2 countries.

Miao LiDepartment of Sociology, Anthropology & Criminal Justice, Clemson University, Clemson, USA.
Sarah MustilloDepartment of Sociology, University of Notre Dame, Notre Dame, USA.
Weidong WangDepartment of Sociology, Renmin University of China, 59 Zhongguancun St., Beijing, 100872, People's Republic of China. wwd@ruc.edu.cn.
Clemson University · USRenmin University of China · CNUniversity of Notre Dame · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Discrimination promotes sedentary behavior and obesity among Western adults. The obesogenic impact of discrimination has yet been examined in developing countries. Participants were 1755 seventh grade rural-to-urban migrant students in the first three waves (2013-2016) of China Education Panel Survey-Junior High Cohort. Latent growth curve models evaluated associations of perceived origin-based discrimination with intercepts and slopes for BMI and screen use trajectories over a 3-year period. Most migrant students came from families of low socioeconomic status. Around 20% of the migrant students reported origin-based discrimination at school. After adjusting for covariates, origin-based discrimination was positively associated with intercepts of TV watching (b = 0.18, p < .001) and internet use (b = 0.24, p < .001), but was not associated with either the intercept or slope of BMI. Perceived discrimination increases screen use for Chinese migrant children, though its contribution to BMI growth is unclear. As the nutrition transition penetrates deeper into lives of all social strata, future studies need to monitor whether perceived discrimination may emerge as an important source of social disparity in obesity in China.

Indexed as

Body Mass IndexPrejudiceScreen TimeTransients and MigrantsAdolescentChildChinaFemaleHumansMalePediatric ObesityRural PopulationSedentary BehaviorSocioeconomic FactorsUrban PopulationBMIChinaDiscriminationObesityRural-to-urban migrant childrenScreen useSedentary behavior

Identifiers

PMID30267198
OpenAlexW2893012913

What OpenQuestion 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 OpenQuestion graph.