Evidence map›Paper›PMID 38693512›Full record

ArticleBMC public health2024

Fourteen-year trends in overweight, general obesity, and abdominal obesity in Amazonian indigenous peoples.

Eliniete de Jesus Fidelis Baniwa, Eliene Rodrigues Putira Sacuena, Rosilene Reis Della Noce, Vanessa Barroso Quaresma, Teodora Honorato Alencar, Renan Barbosa Lemes, Antônia Cherlly Araújo, Izaura Maria Vieira Cayres-Vallinoto, João Farias Guerreiro

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 8% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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 at 2 institutions in 1 country.

Eliniete de Jesus Fidelis BaniwaLaboratory of Human and Medical Genetics, Institute of Biological Sciences, Federal University of Pará, Belém, PA, Brazil.
Eliene Rodrigues Putira SacuenaLaboratory of Human and Medical Genetics, Institute of Biological Sciences, Federal University of Pará, Belém, PA, Brazil.
Rosilene Reis Della NoceFaculty of Nutrition, Institute of Health Sciences, Federal University of Pará, Belém, PA, Brazil.
Vanessa Barroso QuaresmaSpecial Indigenous Health District of Altamira, Special Secretary of Indigenous Health, Altamira, PA, Brazil.
Teodora Honorato AlencarSpecial Indigenous Health District of Altamira, Special Secretary of Indigenous Health, Altamira, PA, Brazil.
Renan Barbosa LemesDepartment of Genetics and Evolutionary Biology, Institute of Biosciences, University of São Paulo, São Paulo, SP, Brazil.
Antônia Cherlly AraújoLaboratory of Human and Medical Genetics, Institute of Biological Sciences, Federal University of Pará, Belém, PA, Brazil.
Izaura Maria Vieira Cayres-VallinotoLaboratory of Virology, Institute of Biological Sciences, Federal University of Pará, Belém, PA, Brazil.
João Farias GuerreiroLaboratory of Human and Medical Genetics, Institute of Biological Sciences, Federal University of Pará, Belém, PA, Brazil. joao.guerreiro53@gmail.com.ORCID 0000-0003-1979-3656
Universidade Federal do Pará · BRUniversidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAvailable data show that the epidemiological profile of most indigenous Brazilian populations is characterized by the coexistence of long-standing health problems (high prevalence of infectious and parasitic diseases, malnutrition, and deficiency diseases, such as anemia in children and women of reproductive age), associated with new health problems, especially those related to obesity (hypertension, type 2 diabetes mellitus and dyslipidemia). Based on this scenario, this study analyzed the nutritional profile of the adult population of seven indigenous peoples from the Brazilian Amazon in the years 2007 and 2021.

methodsA total of 598 adults individuals were analyzed in 2007 (319 women and 279 men) and 924 in 2021 (483 women and 441 men), from seven indigenous peoples located in the state of Pará, who were assisted during health actions carried out in 2007 and in 2021. Body mass index classification used the World Health Organization criteria for adults: low weight, < 18.5 kg/m

resultsThe data revealed heterogeneous anthropometric profiles, with a low prevalence of nutritional changes in the Araweté, Arara and Parakanã peoples, and high proportions of excess weight and abdominal obesity in the Kararaô, Xikrin do Bacajá, Asurini do Xingu and Gavião peoples, similar to or even higher than the national averages.

conclusionDifferent stages of nutritional transition were identified in the indigenous peoples analyzed, despite apparently having been subjected to the same environmental pressures that shaped their nutritional profile in recent decades, which may indicate different genetic susceptibilities to nutritional changes. The evidence shown in this study strongly suggests the need to investigate in greater depth the genetic and environmental factors associated with the nutritional profile of Brazilian indigenous peoples, with assessment of diet, physical activity and sociodemographic and socioeconomic variables that enable the development of appropriate prevention and monitoring measures.

Indexed as

Indians, South AmericanObesity, AbdominalOverweightAdolescentAdultBrazilFemaleHumansIndigenous PeoplesMaleMiddle AgedObesityPrevalenceYoung AdultBMIBrazilian AmazonIndigenous peopleObesityOverweight

Identifiers

PMID38693512
PMCPMC11064236
OpenAlexW4396546350

What OpenQuestion holds

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LicenceCC BY
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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.