Evidence map›Paper›PMID 25913186›Full record

ArticleInternational journal of environmental research and public health2015

BMI, overweight status and obesity adjusted by various factors in all age groups in the population of a city in Northeastern Brazil.

Raquel Patrícia Ataíde Lima, Danielle de Carvalho Pereira, Rafaella Cristhine Pordeus Luna, Maria da Conceição Rodrigues Gonçalves, Roberto Teixeira de Lima, Malaquias Batista Filho, Rosália Gouveia Filizola, Ronei Marcos de Moraes, Luiza Sonia Rios Asciutti, Maria José de Carvalho Costa

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

10 authors at 3 institutions in 1 country.

Raquel Patrícia Ataíde LimaGraduate Program in Nutritional Sciences, Center for Health Sciences/NIESN-Interdisciplinary Studies in Health and Nutrition, Federal University of Paraíba, Castelo Branco, João Pessoa, PB 58059-900, Brazil. raquelpatriciaal@hotmail.com.
Danielle de Carvalho PereiraGraduate Program in Nutritional Sciences, Center for Health Sciences/NIESN-Interdisciplinary Studies in Health and Nutrition, Federal University of Paraíba, Castelo Branco, João Pessoa, PB 58059-900, Brazil. danicarvalhop@hotmail.com.
Rafaella Cristhine Pordeus LunaGraduate Program in Nutritional Sciences, Center for Health Sciences/NIESN-Interdisciplinary Studies in Health and Nutrition, Federal University of Paraíba, Castelo Branco, João Pessoa, PB 58059-900, Brazil. rafaellacristhine@yahoo.com.br.
Maria da Conceição Rodrigues GonçalvesPostgraduate Program in Nutrition, Center for Health Sciences, Federal University of Paraiba, João Pessoa, PB, 58059-900, Brazil. raulceica@ig.com.br.
Roberto Teixeira de LimaPostgraduate Program in Nutrition, Center for Health Sciences, Federal University of Paraiba, João Pessoa, PB, 58059-900, Brazil. robtex@ibest.com.br.
Malaquias Batista FilhoPostgraduate Program in Mother and Child Health (IMIP), Instituto de Medicina Integral Prof. Fernando Figueira-IMIP, Board of Research, Boa Vista, Recife, PE 50070-550, Brazil. malaquias.imip@gmail.com.
Rosália Gouveia FilizolaPostgraduate Program in Nutrition, Center for Health Sciences, Federal University of Paraiba, João Pessoa, PB, 58059-900, Brazil. rosaliafilizola@gmail.com.
Ronei Marcos de MoraesPostgraduate Program in Decision Models and Health, Department of Statistics, Center of Exact and Natural Sciences, Federal University of Paraíba, João Pessoa, PB 58051-000, Brazil. ronei@de.ufpb.br.
Luiza Sonia Rios AsciuttiFaculty of Medical Sciences, Department of Nutrition, João Pessoa, PB 58010-000, Brazil. luizaasciutt@terra.com.br.
Maria José de Carvalho CostaPostgraduate Program in Nutrition, Center for Health Sciences, Federal University of Paraiba, João Pessoa, PB, 58059-900, Brazil. mjc.costa@terra.com.br.
Universidade Federal da Paraíba · BRCentro Universitário de João Pessoa · BRInstituto de Medicina Integral Professor Fernando Figueira · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIn Brazil, demographic, socioeconomic and epidemiological changes over time have led to a transition in nutritional standards, resulting in a gradual reduction of malnutrition and an increased prevalence of overweight and obese individuals, similar to the situation in developed countries in previous decades. This study assessed the body mass index (BMI) and the prevalence of an overweight status and obesity, adjusted for various factors, in a population in northeastern Brazil including all age groups.

methodsThis is a cross-sectional population-based epidemiological study using single sampling procedure composed of levels. Given the heterogeneity of the variable "income" and the relationship between income, prevalence of diseases and nutrition, a stratified sampling on blocks in the first level was used. In this, city districts were classified by income into 10 strata, according to information obtained from IBGE. A systematic sampling was applied on randomly selected blocks in order to choose the residences that would be part of the sample (second level), including 1165 participants from all age groups. RESULTS AND DISCUSSION: The prevalence of an overweight status or obesity was adjusted for demographic, socioeconomic and lifestyle variables. When the Chi-square test was applied, a relationship was observed between the prevalence of an overweight status or obesity and the age group, gender, educational level and income of the participants. Regarding lifestyle parameters, only smoking was associated with the prevalence of an overweight status or obesity, in both adults and in the total sample. The results for the following groups were significant (p < 0.05): the age group from 20 to 59 years, when the individual presented an educational level greater than or equal to high school; and the age group ≥ 60 years, when the individual was female. It is noteworthy that educational level and being female were significant in adjusting for the total population as major factors influencing an increased BMI, followed by the variables physical activity and family income.

conclusionsThe adjusted results justify the adoption of intervention and prevention policies to combat these clinical conditions for the study population as a whole, particularly directed toward adults with higher education level as well as elderly females.

Indexed as

AdolescentAdultBody Mass IndexBrazilChildChild, PreschoolCitiesCross-Sectional StudiesFemaleHumansIncomeInfantLife StyleMaleMiddle AgedOverweight

Identifiers

PMID25913186
PMCPMC4410256
OpenAlexW2112194845

What OpenQuestion holds

Textmetadata
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.