Evidence map›Paper›PMID 25389956›Full record

ArticleThe journal of nutrition, health & aging2014

The association of neighborhood characteristics with obesity and metabolic conditions in older women.

Mark D Corriere, W Yao, Q L Xue, A R Cappola, L P Fried, R J Thorpe, S L Szanton, Rita R Kalyani

Abstract read
In one paragraph

Article in The journal of nutrition, health & aging, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Neighbourhood Socioeconomic Processes and Dynamics and Healthy Ageing: A Scoping Review.International journal of environmental research and public health · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Observational
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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

8 authors.

Mark D CorriereDr. Rita Rastogi Kalyani, Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, 1830 East Monument Street, Suite 333, Baltimore, Maryland 21287. Tel: (410)-502-6888, Fax: (410)-955-8172, E-mail: rrastogi@jhmi.edu.
W Yao
Q L Xue
A R Cappola
L P Fried
R J Thorpe
S L Szanton
Rita R Kalyani

Funding

Technological Assessment and Solutions Core - RC4P30AG021334 · NIA · JOHNS HOPKINS UNIVERSITY · PI Jeremy D Walston · 2003 to 2026
$33.2M
JHU-UMD Diabetes Research CenterP30DK079637 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI WONDISFORD, FREDRIC E. · 2013 to 2017
$9.7M
Clinical Research&Epidemiology in Diabetes&EndocrinologyT32DK062707 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI TODD T BROWN, Wendy Lynet Bennett · 2002 to 2026
$7.3M
Beta-cell ProliferationR01DK081472 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI HUSSAIN, MEHBOOB A, WONDISFORD, FREDRIC E. · 2009 to 2013
$2.1M
Glucose Insulin and Muscle LossK23DK093583 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI KALYANI, RITA R · 2012 to 2015
$635k
NIA NIH HHS P30 AG021334NIA NIH HHS P30-AG021334NIDDK NIH HHS K23 DK093583NIDDK NIH HHS K23-DK093583NIDDK NIH HHS P30 DK079637NIDDK NIH HHS R01 DK081472NIDDK NIH HHS T32 DK062707
6 · The paper itself

Abstract

objectivePrevious studies exploring the relationship of neighborhood characteristics with metabolic conditions have focused on middle-aged adults but none have comprehensively investigated associations in older adults, a potentially vulnerable population. The aim was to explore the relationship of neighborhood characteristics with metabolic conditions in older women.

designCross-sectional analysis. SETTING/

participantsWe studied 384 women aged 70-79 years, representing the two-thirds least disabled women in the community, enrolled in the Women's Health and Aging Study II at baseline. Neighborhood scores were calculated from census-derived data on median household income, median house value, percent earning interest income, percent completing high school, percent completing college, and percent with managerial or executive occupation. Participants were categorized by quartile of neighborhood score with a higher quartile representing relative neighborhood advantage. Logistic regression models were created to assess the association of neighborhood quartiles to outcomes, adjusting for key covariates. MEASUREMENTS: Primary outcomes included metabolic conditions: obesity, diabetes, hypertension, and hyperlipidemia. Secondary outcomes included BMI, HbA1c, blood pressure and lipids.

resultsHigher neighborhood quartile score was associated with a lower prevalence of obesity (highest quartile=13.5% versus lowest quartile=36.5%; p<0.001 for trend). A lower prevalence of diabetes was also observed in highest (6.3%) versus lowest (14.4%) neighborhood quartiles, but was not significantly different (p= 0.24 for trend). Highest versus lowest neighborhood quartile was associated with lower HbA1c (-0.31%, p=0.02) in unadjusted models. Women in the highest versus lowest neighborhood quartile had lower BMI (-2.01 kg/m2, p=0.001) and higher HDL-cholesterol (+6.09 mg/dL, p=0.01) after accounting for age, race, inflammation, and smoking.

conclusionWorse neighborhood characteristics are associated with adiposity, hyperglycemia, and low HDL. Further longitudinal studies are needed and can inform future interventions to improve metabolic status in older adults.

Indexed as

AdiposityAgedBaltimoreBlood PressureBody Mass IndexCholesterol, HDLCross-Sectional StudiesDiabetes MellitusFemaleGlycated HemoglobinHealth SurveysHumansHyperlipidemiasHypertensionObesityPrevalenceCholesterol, HDLGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID25389956
PMCPMC4414394

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.