MétaCan
Menu
← Back to cohort

No time for family meals – what's a family to do?

2016· article· en· W4389027131 on OpenAlexfundaboutno aff
Allison W. Watts, Jerica M. Berge, Katie A. Loth, Nicole Larson, Dianne Neumark‐Sztainer

Bibliographic record

VenueThe FASEB Journal · 2016
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsnot available
FundersNational Heart, Lung, and Blood InstituteCanadian Institutes of Health Research
KeywordsMealSocioeconomic statusEnvironmental healthPopulationEthnic groupMedicineGerontologyHealthy eatingPsychologyDemographyPhysical activity

Abstract

fetched live from OpenAlex

Purpose Much research has touted the health benefits of family meals for adolescents, particularly for healthier diets. However, some families experience barriers (e.g., busy schedules, lack of cooking skills) that make it difficult to have regular family meals. Parents may need guidance about other ways that they might promote healthy eating in their adolescent children. The aim of this study was to examine the impact of the home and family environment at different levels of family meal participation to see what factors are associated with adolescent fruit and vegetable (FV) intake. Results will inform recommendations regarding how other factors in the home environment may promote similar health benefits as having family meals Methods Data were drawn from EAT 2010 (Eating and Activity in Teens), a diverse population‐based study of 2,793 adolescents attending 20 public middle/high schools in Minneapolis/St‐Paul during 2009–2010. Adolescents completed an FFQ and survey items about home environmental factors hypothesized to be related to FV intake (FV availability, FV accessibility, parent encouragement, family communication, and family functioning). Linear regression models were used to examine: 1) individual associations between family meals, home factors and FV intake; 2) the relative influence of family meals and each home factor on FV intake; and 3) interactions between family meal frequency and the presence of other healthful home factors. Models were adjusted for age, sex, socioeconomic status, race/ethnicity and energy intake. Results In unadjusted models, all home factors were positively associated with FV intake. In mutually adjusted models, family meals, FV availability, FV accessibility, and parent encouragement for healthy foods were independently associated with higher FV intake. Among the 949 (35%) adolescents who reported infrequent family meals (≤2 days/week), greater home FV availability, FV accessibility, and parent encouragement were each associated with an approximately half serving increase in FV per day. Adolescents having regular family meals in addition to more favorable home characteristics had up to an additional one serving increase in FV per day. Conclusion Regular family meals in combination with other home environmental factors were associated with the best outcomes; however, instructing families to provide healthy foods and encouragement may lead to meaningful nutritional benefits in the absence of family meals. Support or Funding Information This study was supported by Grant Number R01HL084064 from the National Heart, Lung, and Blood Institute (PI: Dianne Neumark‐Sztainer). AWW was supported by a fellowship from the Canadian Institutes of Health Research.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.279
Teacher spread0.256 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueThe FASEB Journal→Same topicObesity, Physical Activity, Diet→French-language works237,207→