Evidence map›Paper›PMID 27911984›Full record

ReviewObesity reviews : an official journal of the International Association for the Study of Obesity2017

Home visitation programs: an untapped opportunity for the delivery of early childhood obesity prevention.

S-J Salvy, K de la Haye, T Galama, M I Goran

Abstract readReview
In one paragraph

Review in Obesity reviews : an official journal of the International Association for the Study of Obesity, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 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

4 authors.

S-J SalvyUniversity of Alabama at Birmingham, Division of Preventive Medicine, Birmingham, AL, USA.
K de la HayeUniversity of Southern California, Department of Preventive Medicine, Los Angeles, CA, USA.
T GalamaUniversity of Southern California, Center for Economic and Social Research, Los Angeles, CA, USA.
M I GoranUniversity of Southern California, Department of Preventive Medicine, Los Angeles, CA, USA.

Funding

Southern California Clinical and Translational Science InstituteUL1TR000130 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BUCHANAN, THOMAS A · 2012 to 2015
$36.0M
MULTILEVEL SYSTEMS-ORIENTED CHILDHOOD OBESITY STUDY IN CHINAU54HD070725 · NICHD · JOHNS HOPKINS UNIVERSITY · PI CURRIERO, FRANK · 2011 to 2016
$15.9M
Project 2: Leveraging Ongoing Home Visitation Programs to Address Obesity Disparities among Underserved, Low-Income Mothers and ChildrenU54MD000502 · NIMHD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI FOUAD, MONA N., GARVEY, W TIMOTHY · 2017 to 2022
$11.8M
Home intervention for reducing sugary drinks & obesity in Hispanic women-infantsR01DK109161 · NIDDK · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GORAN, MICHAEL ISAAC · 2016 to 2021
$3.6M
In-home obesity prevention to reach low-income infants through maternal and social transmissionR01HD092483 · NICHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DE LA HAYE, KAYLA, SALVY, SARAH-JEANNE · 2017 to 2021
$2.7M
From understanding to reducing health disparities: a model-based evaluationR01AG037398 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GALAMA, TITUS JOHANNES · 2010 to 2014
$2.2M
Human capital, health and longevity: explaining the health gradientK02AG042452 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GALAMA, TITUS JOHANNES · 2012 to 2016
$776k
NCATS NIH HHS UL1 TR000130NIA NIH HHS K02 AG042452NIA NIH HHS R01 AG037398NICHD NIH HHS R01 HD092483NICHD NIH HHS U54 HD070725NIDDK NIH HHS R01 DK109161NIMHD NIH HHS U54 MD000502
6 · The paper itself

Abstract

backgroundExtant obesity efforts have had limited impact among low-income underserved children, in part because of limitations inherent to existing programs: (i) short duration and low intensity; (ii) late timing of implementation, when children are already overweight or obese; (iii) intervention delivery limiting their accessibility and sustainability; and (iv) failure to address barriers such as a lack of culturally competent services, poverty and housing instability, which interfere with healthy lifestyle changes.

objectiveThis concept paper proposes an innovative model of obesity prevention implemented in infancy and sustained throughout early childhood to address the limitations of current obesity prevention efforts. Specifically, we propose to integrate sustained, weekly, in-home obesity prevention as part of the services already delivered by ongoing Home Visitation Programs, which currently do not target obesity prevention.

conclusionThe home visiting structure represents an ideal model for impactful obesity prevention as home visitation programs: (i) already provide comprehensive services to diverse low-income infants and families who are most at risk for obesity and poor health because of socio-economic and structural conditions; (ii) services are initiated in infancy and sustained throughout critical developmental periods for the formation of healthy/unhealthy behaviors; and (iii) have been in place for more than 40 years, with a widespread presence across the United States and nationwide, which is critical for the scalability and sustainability of obesity prevention.

Indexed as

House CallsChild, PreschoolExerciseFemaleHealth PromotionHumansInfantInfant, NewbornInfant Nutritional Physiological PhenomenaMaternal Nutritional Physiological PhenomenaOverweightPediatric ObesityPovertyRandomized Controlled Trials as TopicRisk FactorsUnited StatesEarly childhoodhome visiting programsinfancyobesity prevention

Identifiers

PMID27911984
PMCPMC5267322

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.