Evidence map›Paper›PMID 32714777›Full record

ArticlePreventive medicine reports2020

Trends and sociodemographic disparities in sugary drink consumption among adults in New York City, 2009-2017.

Nan Jiang, Stella S Yi, Rienna Russo, Daniel D Bu, Donglan Zhang, Bart Ferket, Fang Fang Zhang, José A Pagán, Y Claire Wang, Yan Li

Abstract read
In one paragraph

Article in Preventive medicine reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

10 authors.

Nan JiangDepartment of Social Work, National University of Singapore, Singapore.
Stella S YiDepartment of Population Health, NYU School of Medicine, New York, NY, United States.
Rienna RussoDepartment of Population Health, NYU School of Medicine, New York, NY, United States.
Daniel D BuDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Donglan ZhangDepartment of Health Policy and Management, College of Public Health, University of Georgia, Athens, GA, United States.
Bart FerketDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Fang Fang ZhangFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States.
José A PagánDepartment of Public Health Policy and Management, College of Global Public Health, New York University, New York, NY, United States.
Y Claire WangThe New York Academy of Medicine, New York, NY, United States.
Yan LiDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, United States.

Funding

Assessment of Policies through Prediction of Long-term Effects on Cardiovascular Disease Using Simulation (APPLE CDS)R01HL141427 · NHLBI · NEW YORK ACADEMY OF MEDICINE · PI LIU, BIAN, YI, STELLA S · 2018 to 2021
$3.5M
Conduits: MSHS Translational Science HubTL1TR001434 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GABRILOVE, JANICE L · 2015 to 2019
$2.1M
Comparative and Cost-Effectiveness of Population Strategies to Improve Diet and Reduce CancerR01MD011501 · NIMHD · TUFTS UNIVERSITY BOSTON · PI ZHANG, FANG FANG · 2016 to 2019
$2.0M
NCATS NIH HHS TL1 TR001434NHLBI NIH HHS R01 HL141427NIMHD NIH HHS R01 MD011501
6 · The paper itself

Abstract

Despite efforts to decrease sugary drink consumption, sugary drinks remain the largest single source of added sugars in diets in the United States. This study aimed to examine trends in sugary drink consumption among adults in New York City (NYC) over the past decade by key sociodemographic factors. We used data from the 2009-2017 NYC Community Health Survey to examine trends in sugary drink consumption overall, and across different age, gender, and racial/ethnic subgroups. We conducted a test of trend to examine the significance of change in mean sugary drink consumption over time. We also conducted multiple zero-inflated negative binomial regression to identify the association between different sociodemographic and neighborhood factors and sugary drink consumption. Sugary drink consumption decreased from 2009 to 2014 from 0.97 to 0.69 servings per day (

Identifiers

PMID32714777
PMCPMC7369330

What OpenQuestion holds

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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.