Evidence map›Paper›PMID 28271422›Full record

ArticleJournal of general internal medicine2017

The Obesity Epidemic in the Veterans Health Administration: Prevalence Among Key Populations of Women and Men Veterans.

Jessica Y Breland, Ciaran S Phibbs, Katherine J Hoggatt, Donna L Washington, Jimmy Lee, Sally Haskell, Uchenna S Uchendu, Fay S Saechao, Laurie C Zephyrin, Susan M Frayne

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of general internal medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
117citing papers in PubMed, 2 pooled it
11.5field-weighted citation impact, top 1% 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

117 citing papers in PubMed, 2 syntheses or guidelines pooled it, 201 citations in OpenAlex.

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57 more citing papers are in PubMed but not listed here.

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 at 8 institutions in 1 country.

Jessica Y BrelandVA HSR&D Center for Innovation to Implementation (Ci2i), VA Palo Alto Health Care System, 795 Willow Road (MPD-152), Menlo Park, CA, 94025, USA. jessica.breland@va.gov.
Ciaran S PhibbsVA HSR&D Center for Innovation to Implementation (Ci2i), VA Palo Alto Health Care System, 795 Willow Road (MPD-152), Menlo Park, CA, 94025, USA.
Katherine J HoggattVA HSR&D Center for the Study of Healthcare Innovation, Implementation & Policy (CSHIIP), VA Greater Los Angeles Healthcare System, Sepulveda, CA, USA.
Donna L WashingtonVA HSR&D Center for the Study of Healthcare Innovation, Implementation & Policy (CSHIIP), VA Greater Los Angeles Healthcare System, Sepulveda, CA, USA.
Jimmy LeeVA HSR&D Center for Innovation to Implementation (Ci2i), VA Palo Alto Health Care System, 795 Willow Road (MPD-152), Menlo Park, CA, 94025, USA.
Sally HaskellUnited States Department of Veterans Affairs Central Office, Women's Health Services, Washington, DC, USA.
Uchenna S UchenduUnited States Department of Veterans Affairs Central Office, Office of Health Equity, Washington, DC, USA.
Fay S SaechaoVA HSR&D Center for Innovation to Implementation (Ci2i), VA Palo Alto Health Care System, 795 Willow Road (MPD-152), Menlo Park, CA, 94025, USA.
Laurie C ZephyrinUnited States Department of Veterans Affairs Central Office, Women's Health Services, Washington, DC, USA.
Susan M FrayneVA HSR&D Center for Innovation to Implementation (Ci2i), VA Palo Alto Health Care System, 795 Willow Road (MPD-152), Menlo Park, CA, 94025, USA.
Stanford University · USVA Palo Alto Health Care System · USCenter for Health and Gender Equity · USCenter for Innovation · USCenter for the Study of Healthcare Provider Behavior · USNew York University · USVA Connecticut Research and Education Foundation · USVA Greater Los Angeles Healthcare System · US

Funding

HSRD VA IK2 HX002125
6 · The paper itself

Abstract

backgroundMost US adults are overweight or obese. Understanding differences in obesity prevalence across subpopulations could facilitate the development and dissemination of weight management services.

objectivesTo inform Veterans Health Administration (VHA) weight management initiatives, we describe obesity prevalence among subpopulations of VHA patients.

designCross-sectional descriptive analyses of fiscal year 2014 (FY2014) national VHA administrative and clinical data, stratified by gender. Differences ≥5% higher than the population mean were considered clinically significant.

participantsVeteran VHA primary care patients with a valid weight within ±365 days of their first FY2014 primary care visit, and a valid height (98% of primary care patients). MAIN MEASURES: We used VHA vital signs data to ascertain height and weight and calculate body mass index, and VHA outpatient, inpatient, and fee basis data to identify sociodemographic- and comorbidity-based subpopulations. KEY

resultsAmong nearly five million primary care patients (347,112 women, 4,567,096 men), obesity prevalence was 41% (women 44%, men 41%), and overweight prevalence was 37% (women 31%, men 38%). Across the VHA's 140 facilities, obesity prevalence ranged from 28% to 49%. Among gender-stratified subpopulations, obesity prevalence was high among veterans under age 65 (age 18-44: women 40%, men 46%; age 45-64: women 49%, men 48%). Obesity prevalence varied across racial/ethnic and comorbidity subpopulations, with high obesity prevalence among black women (51%), women with schizophrenia (56%), and women and men with diabetes (68%, 56%).

conclusionsOverweight and obesity are common among veterans served by the VHA. VHA's weight management initiatives have the potential to avert long-term morbidity arising from obesity-related conditions. High-risk groups-such as black women veterans, women veterans with schizophrenia, younger veterans, and Native Hawaiian/Other Pacific Islander and American Indian/Alaska Native veterans-may require particular attention to ensure that systems improvement efforts at the population level do not inadvertently increase health disparities.

Indexed as

AdultAgedAge DistributionBlack or African AmericanBody Mass IndexComorbidityCross-Sectional StudiesFemaleHumansMaleMiddle AgedObesityOverweightPrevalenceSex DistributionUnited Stateshealth disparitiesobesitypopulation healthveteranswomen

Identifiers

PMID28271422
PMCPMC5359156
OpenAlexW2594868320

What OpenQuestion holds

Textmetadata
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.