Evidence map›Paper›PMID 31834204›Full record

ArticleJournal of public health management and practice : JPHMP

Healthy Eating Policy Strategies in Community Health Improvement Plans: A Cross-Sectional Survey of US Local Health Departments.

Meera Sreedhara, Karin Valentine Goins, Christine Frisard, Milagros C Rosal, Stephenie C Lemon

Abstract read
In one paragraph

Article in Journal of public health management and practice : JPHMP. 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.

  1. Changes in Local Government Priorities and Stakeholder Satisfaction Following a Healthy Drinks Capacity-Building Intervention in Sports and Recreation Facilities in Victoria, Australia.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2025
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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

5 authors.

Meera SreedharaDivision of Preventive and Behavioral Medicine, Department of Population and Quantitative Health Sciences (Mss Sreedhara, Valentine Goins, and Frisard and Drs Rosal and Lemon) and Clinical and Population Health Research PhD Program, Graduate School of Biomedical Sciences (Ms Sreedhara), University of Massachusetts Medical School, Worcester, Massachusetts.
Karin Valentine Goins
Christine Frisard
Milagros C Rosal
Stephenie C Lemon

Funding

University of Massachusetts Center for Clinical Science and Translational SupplementUL1TR001453 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LUZURIAGA, KATHERINE F · 2015 to 2024
$39.0M
New York Regional Center for Diabetes Translation Research - Translational Intervention Methodology CoreP30DK111022 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY GONZALEZ · 2016 to 2026
$7.8M
UMass Worcester Prevention Research CenterU48DP005031 · DP · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LEMON, STEPHENIE C., ROSAL, MILAGROS C · 2014 to 2018
$4.1M
Evidence-Based Public Health Approaches to Promote Cardiometabolic Health: A Mixed Methods Study of Community Health Improvement PlansF31HL142139 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SREEDHARA, MEERA · 2018 to 2019
$63k
ACL HHS U48DP005031NCATS NIH HHS UL1 TR001453NCCDPHP CDC HHS U48 DP005031NHLBI NIH HHS F31 HL142139NIDDK NIH HHS P30 DK111022
6 · The paper itself

Abstract

contextPolicies (eg, regulations, taxes, and zoning ordinances) can increase opportunities for healthy eating. Community Health Improvement Plans (CHIP) may foster collaboration and local health department (LHD) engagement in policy decision making to improve local food environments. Limited research describes what policies supportive of healthy food environments are included in CHIPs nationally and relationships between LHD characteristics and participation in plans including such policies.

objectivesTo determine the proportion of US LHDs who participated in development of a CHIP containing healthy eating policy strategies and assess the association between LHD characteristics and inclusion of any healthy eating policy strategy in a CHIP.

designA cross-sectional national probability survey.

participantsOf the 209 US LHDs (serving populations <500 000) (response rate: 30.2%), 176 LHDs with complete data on CHIP status, outcomes, and covariates were eligible for analysis.

main outcome measuresThirteen healthy eating policy strategies were organized into 3 categories: increasing availability/identification of healthy foods, reducing access to unhealthy foods, and improving school food environments. Strategies and categories were identified from literature and public health recommendations.

resultsIn total, 32.2% of LHDs reported inclusion of 1 or more healthy eating policy strategies in a CHIP. The proportion of departments reporting specific strategies ranged from 20.8% for school district policies to 1.1% for sugar-sweetened beverage taxes. Local health departments serving 25 000 to 49 999 residents (odds ratio [OR]: 5.00; 95% confidence interval [CI]: 1.71-14.63), 100 000 to 499 999 residents (OR: 3.66; 95% CI: 1.12-11.95), pursuing national accreditation (OR: 4.46; 95% CI: 1.83-10.83), or accredited (OR: 3.22; 95% CI: 1.08-9.63) were more likely to include 1 or more healthy eating policy strategies in a CHIP than smaller LHDs (<25 000) and LHDs not seeking accreditation, respectively, after adjusting for covariates.

conclusionsFew LHDs serving less than 500 000 residents reported CHIPs that included a policy-based approach to improve food environments, indicating room for improvement. Population size served and accreditation may affect LHD policy engagement to enhance local food environments.

Indexed as

Diet, HealthyPublic HealthCross-Sectional StudiesHealth PolicyHumansLocal Government

Identifiers

PMID31834204
PMCPMC7289666

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LicenceCC BY-NC-ND
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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.