Evidence map›Paper›PMID 23431427›Full record

ArticleJournal of nutrition and metabolism2013

Association between Lifestyle Factors and Metabolic Syndrome among African Americans in the United States.

Chintan J Bhanushali, Krishna Kumar, Anthony K Wutoh, Spiridon Karavatas, Muhammad J Habib, Marlon Daniel, Euni Lee

Open access · goldAbstract read
In one paragraph

Article in Journal of nutrition and metabolism, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

16 citing papers in PubMed, 37 citations in OpenAlex.

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  5. Metabolic syndrome prevalence and cardiovascular disease risk among school teachers.International journal of occupational medicine and environmental health · 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

7 authors at 2 institutions in 1 country.

Chintan J BhanushaliDepartment of Pharmaceutical Sciences, College of Pharmacy, Howard University, Washington, DC 20059, USA.
Krishna Kumar
Anthony K Wutoh
Spiridon Karavatas
Muhammad J Habib
Marlon Daniel
Euni Lee
Howard University · USOffice of Minority Health · US

Funding

Center for Minority Health Services ResearchR24HS011673 · AHRQ · HOWARD UNIVERSITY · PI WUTOH, ANTHONY K · 2002 to 2009
$948k
AHRQ HHS R24 HS011673
6 · The paper itself

Abstract

Background. Although there is a reported association between lifestyle factors and metabolic syndrome, very few studies have used national level data restricted to the African Americans (AAs) in the United States (US). Methods. A cross-sectional evaluation was conducted using the National Health and Nutrition Examination Survey from 1999 to 2006 including men and nonpregnant women of 20 years or older. Multiple logistic regression models were constructed to evaluate the association between lifestyle factors and metabolic syndrome. Results. AA women had a higher prevalence of metabolic syndrome (39.43%) than AA men (26.77%). After adjusting for sociodemographic factors, no significant association was found between metabolic syndrome and lifestyle factors including alcohol drinking, cigarette smoking, and physical activity. Age and marital status were significant predictors for metabolic syndrome. With increase in age, both AA men and AA women were more likely to have metabolic syndrome (AA men: OR(adj) = 1.05, 95% CI 1.04-1.06, AA women: OR(adj) = 1.06, 95% CI 1.04-1.07). Single AA women were less likely to have metabolic syndrome than married women (OR(adj) = 0.66, 95% CI 0.43-0.99). Conclusion. Lifestyle factors had no significant association with metabolic syndrome but age and marital status were strong predictors for metabolic syndrome in AAs in the US.

Identifiers

PMID23431427
PMCPMC3572645
OpenAlexW2046854591

What OpenQuestion holds

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LicenceCC BY
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.