Evidence map›Paper›PMID 35081752›Full record

ArticleAmerican journal of health promotion : AJHP2022

Predictive Utility of Alternate Measures of Physical Activity and Diet for Overweight and Obesity in Low-Income Minority Women.

Ying Liu, Victoria Shier, Sara King, Ashlesha Datar

Open access · greenAbstract read
In one paragraph

Article in American journal of health promotion : AJHP, 2022. 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
0.4field-weighted citation impact, top 39% of its field
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, 2 citations in OpenAlex.

  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

4 authors at 2 institutions in 1 country.

Ying LiuCenter for Economic and Social Research, 5116University of Southern California, Los Angeles, CA, USA.ORCID 0000-0002-1101-0269
Victoria ShierSchaeffer Center for Health Policy and Economics, Sol Price School of Public Policy, 5116University of Southern California, Los Angeles, CA, USA.ORCID 0000-0002-4171-5972
Sara King1068University of Maryland, College Park, MD, USA.
Ashlesha DatarCenter for Economic and Social Research, 5116University of Southern California, Los Angeles, CA, USA.ORCID 0000-0001-8526-8804
University of Southern California · USUniversity of Maryland, College Park · US

Funding

The Impact of Improvements in Built- and Social-Environments and Housing on Obesity in Public Housing Residents: Evidence from a Natural Experiment in South Los AngelesR01CA228058 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ASHLESHA DATAR · 2018 to 2026
$4.1M
Impact of Built, Social, and Housing Environments on Obesity in Low-Income ChildrenR01HD096293 · NICHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ASHLESHA DATAR · 2018 to 2026
$3.4M
Environments Impact on Childrens Diet, Activity & Obesity: A Natural ExperimentR01HD067536 · NICHD · RAND CORPORATION · PI DATAR, ASHLESHA · 2011 to 2015
$3.2M
NCI NIH HHS R01 CA228058NICHD NIH HHS R01 HD067536NICHD NIH HHS R01 HD096293
6 · The paper itself

Abstract

purposeThe purpose is to compare the predictive utility of alternate measures of diet and physical activity for overweight and obesity among low-income minority women.

designCross-sectional analysis of baseline data from a cohort study.

settingThree public housing developments in South Los Angeles.Subjects: Adult women (N = 425). MEASURES: Primary outcome-weight status (normal BMI, overweight, or obese). Primary predictors- diet: 24-hour dietary recalls (Healthy Eating Index), dietary screener (intake of specific food groups), and single-item survey question (diet quality); physical activity: accelerometry (minutes/day of moderate-to-vigorous activity), short recall questionnaire (minutes/week of moderate and vigorous activity), and single-item questions (days per week did exercise; self-assessment of overall activity level). ANALYSIS: Multinomial logistic regression models, controlling for socio-demographic covariates. Models are built up starting with least resource-intensive measures of diet and physical activity (single items) and sequentially adding more resource-intensive measures. Model performance is assessed via information-based model selection indices.

resultsAdjusted relative risk for obesity for single-item measures ranged from .61 to .64 for diet (

conclusionSingle-item questions for diet and physical activity can provide valuable information about risk for overweight and obesity in low-income minority women when more resource-intensive assessments are infeasible.

Indexed as

ObesityOverweightAdultBody Mass IndexCohort StudiesCross-Sectional StudiesDietExerciseFemaleHumansbody mass index (BMI)dietary screenerinstrument validationmeasurementobesityphysical activity

Identifiers

PMID35081752
PMCPMC9086088
OpenAlexW4210460643

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.