Evidence map›Paper›PMID 29576050›Full record

ArticleAnnals of epidemiology2018

Illustrating a "consequential" shift in the study of health inequalities: a decomposition of racial differences in the distribution of body mass.

Arjumand Siddiqi, Faraz Vahid Shahidi, Vincent Hildebrand, Anthony Hong, Sanjay Basu

Abstract read
In one paragraph

Article in Annals of epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Arjumand SiddiqiDalla Lana School of Public Health, University of Toronto, Toronto, Canada; Department of Paediatrics, Faculty of Medicine, University of Toronto, Toronto, Canada; Hospital for Sick Children, Toronto, Canada; Gillings School of Global Public Health, University of North Carolina, Chapel Hill, Chapel Hill, NC. Electronic address: aa.siddiqi@utoronto.ca.
Faraz Vahid ShahidiDalla Lana School of Public Health, University of Toronto, Toronto, Canada.
Vincent HildebrandDalla Lana School of Public Health, University of Toronto, Toronto, Canada; Department of Economics, Glendon College - York University, Toronto, Canada.
Anthony HongDepartment of Economics, McMaster University, Toronto, Canada.
Sanjay BasuCenter for Primary Care and Outcomes Research and Center for Population Health Sciences, Stanford University, Stanford, CA; Center for Primary Care, Harvard Medical School, Boston, MA.

Funding

Cohort filtering models to identify social program effects on health disparitiesDP2MD010478 · NIMHD · STANFORD UNIVERSITY · PI BASU, SANJAY · 2015 to 2015
$2.4M
Studying social factors in sodium consumption to reduce hypertension disparitiesK08HL121056 · NHLBI · STANFORD UNIVERSITY · PI BASU, SANJAY · 2014 to 2017
$599k
NHLBI NIH HHS K08 HL121056NIMHD NIH HHS DP2 MD010478
6 · The paper itself

Abstract

purposeWe present a conceptual introduction to "distributional inequalities"-differences in distributions of risk factors or other outcomes between social groups-as a consequential shift for research on health inequalities. We also review a companion analytical methodology, "distributional decomposition", which can assess the population characteristics that explain distributional inequalities.

methodsUsing the 1999-2012 U.S. National Health and Nutrition Examination Survey, we apply statistical decomposition to (a) document gender-specific, black-white inequalities in the distribution of body mass index (BMI) and, (b) assess the extent to which demographic (age), socioeconomic (family income, education), and behavioral predictors (caloric intake, physical activity, smoking, alcohol consumption) are associated with broader distributional inequalities in BMI.

resultsBlack people demonstrate favorable or no different caloric intake, smoking, or alcohol consumption than whites, but worse levels of physical activity. Racial inequalities extend beyond the obesity threshold to the broader BMI distribution. Demographic, socioeconomic, and behavioral characteristics jointly explain more of the distributional inequality among men than women.

conclusionsBlack-white distributional inequalities are present both among men and women, although the mechanisms may differ by gender. The notion of "distributional inequalities" offers an additional purchase for studying social inequalities in health.

Indexed as

Body Mass IndexHealth BehaviorHealth Status DisparitiesSocioeconomic FactorsAdultAgedBlack or African AmericanBlack PeopleExerciseFemaleHumansMaleMiddle AgedObesityRacial GroupsUnited StatesBMIDistributionsHealth inequalitiesObesityRaceRose

Identifiers

PMID29576050
PMCPMC5875451

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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.