Evidence map›Paper›PMID 29233206›Full record

ArticlePublic health nutrition2018

Parental work characteristics and diet quality among pre-school children in dual-parent households: results from a population-based cohort in Taiwan.

Jennifer Chun-Li Wu

Abstract read
In one paragraph

Article in Public health nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

1 author.

Jennifer Chun-Li WuEarly Childhood and Family Education,National Taipei University of Education,No. 134 Section 2 Heping East Road,Taipei 10651,Taiwan,Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine the relationship between parental work characteristics and diet quality among pre-school children in dual-parent households.

designCross-sectional study. Parental work characteristics were measured by the types of combined parental work schedules and work hours. The main outcome variables included meal eating habits as well as 'health-conscious food' and 'unhealthy non-core food' dietary patterns derived by using principal component analysis. Sociodemographic covariates were considered to reduce confounding and selection biases.

settingThe Taiwan Birth Cohort Study, Taiwan. SUBJECTS: A population-based sample of 18 046 children.

resultsMultiple regression analyses indicated that compared with having both parents working standard schedules, having at least one parent who worked non-standard schedules was significantly associated with a lower likelihood of a child eating breakfast every day and a higher consumption of unhealthy non-core foods. If only one parent was employed and worked standard schedules, the children demonstrated greater odds of having home-prepared dinner most of the time. The mother's working long hours was associated with lower odds of eating breakfast every day, more frequent consumption of unhealthy non-core foods and a lower frequency of healthy food consumption.

conclusionsThe findings raise concern that parents' non-standard work schedules and mother's long working hours have negative effects on diet quality of pre-school children. Policy implications include the need for a multifaceted approach to supporting working parents so as to create healthier food environments.

Indexed as

Feeding BehaviorParentsChild, PreschoolCross-Sectional StudiesDietEducational StatusFemaleHumansMaleParentingPersonnel Staffing and SchedulingTaiwanDietary patternDiet qualityNon-standard work schedulesParental work

Identifiers

PMID29233206
PMCPMC10260848

What OpenQuestion holds

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Registered trials

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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.