Evidence map›Paper›PMID 37124780›Full record

ArticleFrontiers in public health2023

Gender differences in family meal frequency and their association with substance use and mental health among middle and high school students.

Ting Luo, Sharon E Cummins, Shu-Hong Zhu

Abstract read
In one paragraph

Article in Frontiers in public health, 2023. 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

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

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

3 authors.

Ting LuoMoores Cancer Center, University of California, San Diego, La Jolla, CA, United States.
Sharon E CumminsMoores Cancer Center, University of California, San Diego, La Jolla, CA, United States.
Shu-Hong ZhuMoores Cancer Center, University of California, San Diego, La Jolla, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Family meals are associated with adolescent health outcomes. Studies have reported that girls are less likely than boys to have dinner with their families. Purpose: This study examined gender differences in family meal frequency and the relationship between meal frequency and other health measures, using a large and representative sample of California middle and high school students. Methods: This study analyzed data from the 2019-2020 California Student Tobacco Survey (159,904 students in grades 8, 10, and 12). Dinner with the family 5-7 times per week was defined as high frequency. Students reported substance use (of tobacco, marijuana, and alcohol) and rated their mental health and happiness in their home life. All analyses were weighted to reflect the California student population. Results: Fewer than half (44.7%) of students reported a high frequency of family meals, with boys more likely than girls and those who identified their gender in another way the least likely to do so (48.3%, 42.2%, 34.0%, respectively). Gender differences persisted across demographics and the quality of family relationships, and were evident as early as eighth grade. Less frequent family meals were associated with poorer mental health (OR = 1.34, 95% CI: 1.29-1.40) and substance use (OR = 1.27, 95% CI: 1.21-1.32), controlling for the effects of demographics and family dynamics. Conclusion: Gender differences in family meal frequency emerge early in adolescence and persist across demographics and family relationships. Given that family meals play a protective role in an adolescent's life, these gender differences are concerning.

Indexed as

Mental HealthSubstance-Related DisordersAdolescentFemaleHumansMaleMealsSex FactorsStudentsfamily dynamicsfamily meal frequencygender differencesmental healthsubstance use

Identifiers

PMID37124780
PMCPMC10140512

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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.