Evidence map›Paper›PMID 34177044›Full record

ArticleWorld development2021

Associations between hurricane exposure, food insecurity, and microfinance; a cross-sectional study in Haiti.

Sina Kianersi, Reginal Jules, Yijia Zhang, Maya Luetke, Molly Rosenberg

Abstract read
In one paragraph

Article in World development, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

5 authors.

Sina KianersiDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, USA.
Reginal JulesFonkoze Foundation, Port-au-Prince, Haiti.
Yijia ZhangDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, USA.
Maya LuetkeDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, USA.
Molly RosenbergDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, USA.

Funding

Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
NCATS NIH HHS UL1 TR001108
6 · The paper itself

Abstract

Natural disaster and food insecurity are prevalent in Haiti. Natural disasters may cause long-term food insecurity. Microfinance programs may provide resilience against this outcome. The objectives of this study were 1) to assess the association between the impact of Hurricane Matthew and long-term food insecurity and 2) to understand whether this association varies by participants' membership in a microfinance program. In 2017-2018, we interviewed 304 Haitian female microfinance clients. We used log-binomial regression to evaluate the association between hurricane Matthew impact and long-term food insecurity, with evaluation of effect modification by timing of microfinance exposure. We found that one year after the hurricane, participants who were severely impacted by the hurricane were more likely to report poor dietary diversity and moderate to severe household hunger, compared to the less severely impacted participants. Both associations became insignificant among those who received their first microfinance loan before the hurricane. Natural disasters like hurricanes are associated with long-term food insecurity at individual and household levels. Microfinance programs might improve post-hurricane long-term food security.

Indexed as

CaribbeanFood securityHaitiHurricaneMicrofinanceNatural disaster

Identifiers

PMID34177044
PMCPMC8224831

What OpenQuestion holds

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Registered trials

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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.