Evidence map›Paper›PMID 25958907›Full record

ArticlePublic health nutrition2016

The prevalence of metabolic syndrome among low-income South Asian Americans.

Saira A Khan, Robert T Jackson

Open access · bronzeAbstract read
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Article in Public health nutrition, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Saira A KhanDepartment of Nutrition and Food Science,University of Maryland,0119 Skinner Building,College Park,MD 20740,USA.
Robert T JacksonDepartment of Nutrition and Food Science,University of Maryland,0119 Skinner Building,College Park,MD 20740,USA.
University of Maryland, College Park · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe purpose of the present paper is to examine the prevalence of metabolic syndrome (MetS) and its components using the harmonized definition in an interviewed sub-sample of diverse, low-income, adult South Asians (SA) of both sexes residing in Maryland. We also wanted to derive a BMI cut-off value that was highly correlated with the recommended waist circumference (WC) that we could apply to a larger sample of SA Americans for whom only BMI values were available from clinic files. We also examined differences in MetS prevalence among various Asian ethnic groups (defined by country of origin) and the clustering pattern of their MetS components.

designClinical data extraction on subjects (n 1002) and interviewees (n 401) were used in a cross-sectional study of SA Americans.

settingTwo community health centres in Montgomery and Baltimore County, MD, USA. SUBJECTS: SA adult males and females (n 1403) aged 20-68 years.

resultsThe prevalence of MetS using harmonized WC cut-offs (90 cm in men and 80 cm in women) was 47% in men and 54% in women. Using a BMI of 23.0 kg/m2 gave a similar prevalence of MetS for males (48%) and females (47%). Of the five MetS components, the prevalence pattern differed among the ethnic groups, particularly for SA Indians.

conclusionsThe prevalence of MetS in a diverse, low-income, SA American immigrant group using the harmonized definition was 51%. Derived lowered BMI cut-off of 23.0 kg/m2 should be used by clinicians in studies on SA when WC values are not available for detecting metabolic risk. SA Indians had a higher prevalence of abnormal TAG and blood glucose values compared with other SA, and therefore results for SA Indians should not be generalized to all SA ethnic groups.

Indexed as

EthnicityAdultAgedAsia, WesternBlood GlucoseBlood PressureBody Mass IndexBody WeightCholesterol, HDLCholesterol, LDLCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMarylandBlood GlucoseCholesterol, HDLCholesterol, LDLTriglyceridesCVDHealth disparitiesLow-income immigrantsMetabolic syndromeSouth Asian Americans

Identifiers

PMID25958907
PMCPMC10335771
OpenAlexW2283995592

What OpenQuestion holds

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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.