Evidence map›Paper›PMID 29923334›Full record

Observational studyPediatric obesity2018

Objectives of community policies and programs associated with more healthful dietary intakes among children: findings from the Healthy Communities Study.

K L Webb, S C Hewawitharana, L E Au, V Collie-Akers, W J Strauss, A J Landgraf, J Nagaraja, D K Wilson, R Sagatov, J Kao and 4 more

Abstract readObservational Study
In one paragraph

Observational study in Pediatric obesity, 2018. 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
–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

2 citing papers in PubMed.

  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

14 authors.

K L WebbDivision of Agriculture and Natural Resources, Nutrition Policy Institute,, University of California, Oakland and Berkeley offices, Oakland, CA, USA.
S C HewawitharanaDivision of Agriculture and Natural Resources, Nutrition Policy Institute,, University of California, Oakland and Berkeley offices, Oakland, CA, USA.ORCID 0000-0001-6087-1367
L E AuDivision of Agriculture and Natural Resources, Nutrition Policy Institute,, University of California, Oakland and Berkeley offices, Oakland, CA, USA.
V Collie-AkersCenter for Community Health and Development, University of Kansas, Lawrence, KS, USA.ORCID 0000-0002-7873-5512
W J StraussHealth Analytics Hub, LLC, Lewis Center, OH, USA.
A J LandgrafBattelle Health and Analytics, Columbus, OH, USA.
J NagarajaBattelle Health and Analytics, Columbus, OH, USA.
D K WilsonDepartment of Psychology, University of South Carolina, Columbia, SC, USA.
R SagatovBattelle Health and Analytics, Baltimore, MD, USA.
J KaoDivision of Agriculture and Natural Resources, Nutrition Policy Institute,, University of California, Oakland and Berkeley offices, Oakland, CA, USA.
C M LoriaNational Heart, Lung, and Blood Institute, Bethesda, MD, USA.
S B FawcettCenter for Community Health and Development, University of Kansas, Lawrence, KS, USA.
L D RitchieDivision of Agriculture and Natural Resources, Nutrition Policy Institute,, University of California, Oakland and Berkeley offices, Oakland, CA, USA.ORCID 0000-0002-8038-1821
Healthy Communities Study Team

Funding

Eunice Kennedy Shriver National Institute of Child Health and DevelopmentNational Institute of Diabetes and Digestive and Kidney DisordersNational Institutes of Health Office of Behavioral and Social Sciences Research; DHHS HHSN268201000041CNCI NIH HHSNHLBI NIH HHS HHSN268201000041C
6 · The paper itself

Abstract

backgroundRational planning of community policies and programs (CPPs) to prevent obesity requires an understanding of CPP objectives associated with dietary behaviours.

objectiveThe objective of the study is to identify objectives of CPPs associated with healthful dietary behaviours.

methodsAn observational study identified 4026 nutrition CPPs occurring in 130 communities in the prior 6 years. Dietary intakes of fruits and vegetables, added sugar and sugar-sweetened beverages, among others, were reported among 5138 children 4-15 years of age from the communities, using a Dietary Screener Questionnaire with children age 9 years and older (parent assisted) or parent proxies for younger children. CPPs were documented through key informant interviews and characterized by their intensity, count, and objectives including target dietary behaviour and food environment change strategy. Associations between dietary intakes and CPP objectives were assessed using hierarchical statistical models.

resultsCPPs with the highest intensity scores that targeted fast food or fat intake or provided smaller portions were associated with greater fruit and vegetable intake (0.21, 0.19, 0.23 cup equivalents/day respectively with p values <0.01, 0.04, 0.03). CPPs with the highest intensity scores that restricted the availability of less healthful foods were associated with lower child intakes of total added sugar (-1.08 tsp/day, p < 0.01) and sugar from sugar-sweetened beverages (-1.63 tsp/day, p = 0.04). Similar associations were observed between CPP count and dietary outcomes. No other significant associations were found between CPP target behaviours or environmental strategies and dietary intakes/behaviours.

conclusionCPPs that targeted decreases in intakes of less healthful foods and/or aimed to modify the availability of less healthful foods and portions were associated with healthier child dietary behaviours.

Indexed as

Feeding BehaviorAdolescentChildChild, PreschoolDiet, HealthyFemaleHumansMaleNutrition PolicyPediatric ObesityPreventive Health ServicesPublic HealthSurveys and QuestionnairesUnited StatesChildhood obesitycommunity programs and policiesfood environmentsugar-sweetened beverages

Identifiers

PMID29923334
PMCPMC6197901

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.