Evidence map›Paper›PMID 33547033›Full record

ArticleJournal of the Academy of Nutrition and Dietetics2021

Perceived Neighborhood-Level Drivers of Food Insecurity Among Aging Women in the United States: A Qualitative Study.

Jacqueline A Shieh, Anna M Leddy, Henry J Whittle, Ighovwerha Ofotokun, Adaora A Adimora, Phyllis C Tien, Sheri D Weiser

Abstract read
In one paragraph

Article in Journal of the Academy of Nutrition and Dietetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
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.

Jacqueline A Shieh(1)Institute for Global Health Sciences, University of California, San Francisco, San Francisco, CA. Electronic address: jashieh@g.ucla.edu.
Anna M Leddy(2)Division of Prevention Science, Department of Medicine, University of California, San Francisco, San Francisco, CA.
Henry J Whittle(3)Wolfson Institute of Preventive Medicine, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London, United Kingdom.
Ighovwerha Ofotokun(4)School of Medicine, Emory University and Grady Healthcare System, Atlanta, GA.
Adaora A Adimora(5)School of Medicine, and Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Phyllis C Tien(6)Division of HIV, ID and Global Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA.
Sheri D Weiser(6)Division of HIV, ID and Global Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA.

Funding

Virology CoreP30AI027767 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI OLAF KUTSCH · 1988 to 2026
$84.1M
Engaging University of California Stakeholders for Biorespository ResearchUL1TR000004 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRANDIS, JENNIFER RUBIN · 2012 to 2015
$78.0M
Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
Virology and Molecular Biomarkers CoreP30AI050409 · NIAID · EMORY UNIVERSITY · PI Carlos del Rio · 2002 to 2026
$74.0M
Women's Interagency HIV Study (WIHS-V)U01AI035004 · NIAID · MONTEFIORE MEDICAL CENTER (BRONX, NY) · PI ANASTOS, KATHRYN M., SHARMA, ANJALI · 1993 to 2018
$65.7M
WOMEN'S INTERAGENCY HIV STUDY ORGANIZATION, MANAGEMENT AND COMMUNICATIONSU01AI034989 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AOUIZERAT, BRADLEY E, GREENBLATT, RUTH MARTHA · 1993 to 2018
$65.6M
Women's Interagency HIV Study (WIHS) IIIU01AI031834 · NIAID · SUNY DOWNSTATE MEDICAL CENTER · PI GUSTAFSON, DEBORAH R., MINKOFF, HOWARD · 1998 to 2018
$53.5M
WOMEN'S INTERAGENCY HIV STUDY (WIHS) ORGANIZATION AND MANAGEMENTU01AI034994 · NIAID · GEORGETOWN UNIVERSITY · PI KASSAYE, SEBLE G · 1993 to 2018
$52.0M
Women's Interagency HIV Study (WIHS) IV, Chicago ConsortiumU01AI034993 · NIAID · HEKTOEN INSTITUTE FOR MEDICAL RESEARCH · PI COHEN, MARDGE H, FRENCH, AUDREY · 1994 to 2018
$51.0M
WOMENS INTERAGENCY HIV STUDY (WIHS)U01HD032632 · NICHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MILAM, JOEL E · 1994 to 2012
$42.0M
WIHS DATA MANAGEMENT AND ANALYSIS CENTER(WDMAC)U01AI042590 · NIAID · JOHNS HOPKINS UNIVERSITY · PI GANGE, STEPHEN J, GOLUB, ELIZABETH T · 1998 to 2018
$38.4M
SF Bay Area MACS/WIHS Combined Cohort StudyU01HL146242 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Bradley E Aouizerat, Jennifer Cohen Price · 2019 to 2026
$36.3M
NCATS NIH HHS UL1 TR000004NHLBI NIH HHS U01 HL146242NIAID NIH HHS K24 AI134326NIAID NIH HHS P30 AI027767NIAID NIH HHS P30 AI050409NIAID NIH HHS P30 AI050410NIAID NIH HHS U01 AI031834NIAID NIH HHS U01 AI034989NIAID NIH HHS U01 AI034993NIAID NIH HHS U01 AI034994NIAID NIH HHS U01 AI035004NIAID NIH HHS U01 AI042590NIAID NIH HHS U01 AI103390NIAID NIH HHS U01 AI103397NIAID NIH HHS U01 AI103401NIAID NIH HHS U01 AI103408NICHD NIH HHS U01 HD032632NIMH NIH HHS T32 MH019105
6 · The paper itself

Abstract

backgroundAging populations in the United States exhibit high rates of food insecurity and chronic illness. Few studies have explored the neighborhood-level drivers of food insecurity among such populations, and how they intersect with experiences of aging.

objectiveThe aim of this study was to explore how aging women experience food insecurity in the United States, and the neighborhood-level factors that influence these experiences.

designSemistructured qualitative interviews were conducted to elicit participants' perceptions of how their neighborhood influenced their experiences with food security and aging. PARTICIPANTS/

settingThirty-eight food-insecure women aged 50 years and older were purposively sampled from the Northern California, Georgia, and North Carolina sites of the Women's Interagency Human Immunodeficiency Virus Study. Interviews were conducted between November 2017 and July 2018 at the three Women's Interagency Human Immunodeficiency Virus Study sites. STATISTICAL ANALYSIS: Three researchers thematically analyzed the data using an inductive-deductive approach.

resultsParticipants described neighborhood-level drivers of food insecurity that centered around three themes: accessibility of food from traditional food stores, the role of food aid institutions, and the intersection of aging with the food environment. Participants explained that food insecurity was related to limited access to food stores largely due to long distances and poor public transportation in Georgia and North Carolina, and high food prices in Northern California. Most participants described being dependent on food aid programs, but found this difficult due to poor quality food and long wait times. Aging-related issues emerged as a cross-cutting theme, with fatigue, poor strength, and chronic illness amplifying barriers to accessing food.

conclusionsFindings from this study reveal the structural barriers that aging women face in accessing healthy food within their neighborhoods, and how experiences with aging and chronic illnesses exacerbate these barriers. Although future programs should address common neighborhood-level barriers such as the accessibility and affordability of healthy foods, they should also be tailored to aging women and the local context.

Indexed as

Food InsecurityAgingCaliforniaFemaleFood AssistanceFood MarketsGeorgiaHIV InfectionsHumansMiddle AgedNorth CarolinaProspective StudiesQualitative ResearchResidence CharacteristicsSocioeconomic FactorsUnited StatesAgingFood environmentFood insecurityNeighborhood factorsQualitative research

Identifiers

PMID33547033
PMCPMC8084897

What OpenQuestion holds

Textmetadata
LicenceTDM
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.