Evidence map›Paper›PMID 22327117›Full record

ArticleJournal of epidemiology2012

Asian ethnicity is associated with a higher trunk/peripheral fat ratio in women and adolescent girls.

Yukiko Morimoto, Gertraud Maskarinec, Shannon M Conroy, Unhee Lim, John Shepherd, Rachel Novotny

Abstract read
In one paragraph

Article in Journal of epidemiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 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

6 authors.

Yukiko MorimotoUniversity of Hawaii Cancer Center, Honolulu, HI 96813, USA.
Gertraud Maskarinec
Shannon M Conroy
Unhee Lim
John Shepherd
Rachel Novotny

Funding

WILLINGNESS OF PRIMARY CARE PHYSICIANS TO ADOPT HANDHELD COMPUTINGP20RR011091 · NCRR · UNIVERSITY OF HAWAII AT MANOA · PI ERDEM, GULIZ · 1995 to 2009
$16.5M
Nutritional & Behavioral Cancer Prevention in a Multiethnic PopulationR25CA090956 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI MASKARINEC, GERTRAUD · 2002 to 2012
$5.1M
NCI NIH HHS R25 CA090956NCI NIH HHS R25 CA 90956NCRR NIH HHS P20 RR011091NCRR NIH HHS P20 RR11091
6 · The paper itself

Abstract

backgroundEthnic differences in body fat mass and distribution may develop in childhood and contribute to increased obesity-related disease risk among Asians. We used dual-energy X-ray absorptiometry (DXA) to evaluate adiposity measures among adult women and their adolescent daughters, who were of predominantly Japanese and white ethnicity.

methodsWe obtained DXA whole body scans for 101 mothers aged 30 years or older and 112 daughters aged 10 to 16 years. The participants were classified as Asian, part-Asian, mixed/other, or white. As a measure of central adiposity, we calculated the trunk/peripheral fat ratio (TPFR). General linear models were used to evaluate differences in adiposity measures by ethnic category.

resultsIn mothers, TPFR was significantly higher (P(trend) < 0.01) in Asians and part-Asians (1.38 ± 0.42 and 1.32 ± 0.51) than in mixed/others and whites (1.18 ± 0.27 and 1.09 ± 0.21). The trend was similar among daughters (P(trend) < 0.001), with respective values of 1.09 ± 0.18, 0.97 ± 0.17, 0.99 ± 0.16, and 0.87 ± 0.11. Among mothers, gynoid fat mass and peripheral fat mass were significantly lower in Asians than in whites, whereas none of the regional DXA adiposity measures differed by ethnicity in daughters.

conclusionsThese results confirm previous reports of greater central adiposity in women of Asian ancestry and indicate that ethnic differences in adiposity are already present in adolescence.

Indexed as

Absorptiometry, PhotonAdiposityAdolescentAdultAsian PeopleChildFemaleHumansLinear ModelsObesity, AbdominalTorsoWhite People

Identifiers

PMID22327117
PMCPMC3798591

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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.