Evidence map›Paper›PMID 38397646›Full record

ArticleInternational journal of environmental research and public health2024

Poverty-Food Insecurity Nexus in the Post-Construction Context of a Large Hydropower Dam in the Brazilian Amazon.

Igor Cavallini Johansen, Miquéias Freitas Calvi, Verônica Gronau Luz, Ana Maria Segall-Corrêa, Caroline C Arantes, Victoria Judith Isaac, Renata Utsunomiya, Vanessa Cristine E Souza Reis, Emilio F Moran

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Igor Cavallini JohansenCenter for Environmental Studies and Research (NEPAM), State University of Campinas (UNICAMP), Campinas 13083-867, SP, Brazil.ORCID 0000-0002-5360-3740
Miquéias Freitas CalviFaculty of Forestry, Federal University of Pará (UFPA), Altamira 68372-040, PA, Brazil.ORCID 0000-0002-9409-9915
Verônica Gronau LuzFaculty of Health Sciences, Grande Dourados Federal University (UFGD), Dourados 79825-070, MS, Brazil.ORCID 0000-0001-7340-1727
Ana Maria Segall-CorrêaFundação Oswaldo Cruz, Brasília 70904-130, DF, Brazil.
Caroline C ArantesDivision of Forestry and Natural Resources, West Virginia University, Morgantown, WV 26506-6125, USA.ORCID 0000-0002-9752-1499
Victoria Judith IsaacNúcleo de Ecologia Aquática e Pesca, Federal University of Pará, Belém 66077-530, PA, Brazil.
Renata UtsunomiyaInstitute of Energy and Environment (IEE), University of São Paulo (USP), São Paulo 05508-010, SP, Brazil.ORCID 0000-0001-9024-9659
Vanessa Cristine E Souza ReisCenter for Environmental Studies and Research (NEPAM), State University of Campinas (UNICAMP), Campinas 13083-867, SP, Brazil.ORCID 0000-0001-5177-1348
Emilio F MoranCenter for Environmental Studies and Research (NEPAM), State University of Campinas (UNICAMP), Campinas 13083-867, SP, Brazil.ORCID 0000-0001-5153-545X

Funding

São Paulo Research Foundation 2019/17113-9São Paulo Research Foundation 2020/16378-6
6 · The paper itself

Abstract

Within the 2030 Sustainable Development Agenda, large hydropower dams are positioned as a sustainable energy source, notwithstanding their adverse impacts on societies and ecosystems. This study contributed to ongoing discussions about the persistence of critical social issues, even after the investments of large amounts of resources in areas impacted by the construction of large hydropower dams. Our study focused on food insecurity and evaluated this issue in the city of Altamira in the Brazilian Amazon, which has been profoundly socially and economically impacted by the construction, between 2011 and 2015, of Brazil's second-largest dam, namely, Belo Monte. A survey in Altamira city featured a 500-household random sample. Structural equation modeling showed conditioning factors of 60% of the population experiencing varying food insecurity degrees. Poverty, female-led households, lower education, youth, and unemployment were strongly linked to higher food insecurity. Crowded, officially impacted, and resettled households also faced heightened food insecurity. Our findings underscore the food insecurity conditions in the region impacted by the Belo Monte dam, emphasizing the need to take into account this crucial issue while planning and implementing hydropower dams.

Indexed as

EcosystemPovertyAdolescentBrazilCitiesFemaleFood InsecurityFood SupplyHumansBrazilian Amazonfood insecurityhydropower damspoverty and resettlementpublic healthsustainable development

Identifiers

PMID38397646
PMCPMC10888233

What OpenQuestion holds

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LicenceCC BY
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.