Social position and anthropometric status among adults in the Elsa-Brasil study

A Latent Class Analysis

Dados Bibliográficos

ID5166452
AutoresSheila Maria Alvim De Matos (0000-0003-2080-9213, Universidade Federal da Bahia), Leila Denise A F Amorim (0000-0002-1112-2332, Universidade Federal da Bahia), Francisco José Gondim Pitanga (0000-0002-1033-8684, Universidade Federal da Bahia), Ana Luísa Patrão (0000-0002-2027-5461, Universidade Federal da Bahia), Sandhi Maria Barreto (0000-0001-7383-7811, Universidade Federal de Minas Gerais), Dóra Chor (0000-0002-3941-5786, Fundação Oswaldo Cruz), Letícia De Oliveira Cardoso (0000-0003-1312-1808, Fundação Oswaldo Cruz), Maria Del Carmen B Molina (0000-0002-8614-988X, Universidade Federal do Espírito Santo), Maurício Lima Barreto (0000-0002-0215-4930, Universidade Federal da Bahia), Estela Maria Leão De Aquino (0000-0002-8204-1249, Universidade Federal da Bahia)
Ano2021
Volume37
Fascículo9
Páginase00168918-e00168918
Data de publicação2021-01-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoCadernos de Saude Publica (JOURNAL)
Identificadores do periódicoISSN: 0102-311X • E-ISSN: 1678-4464
EditoraFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/0102-311x00168918
PMID34669771
OpenAlexW3206298628
SCIELO_PIDS0102-311X2021000905006
IdiomaEN
Referências citadas43

The objective of the present study was to evaluate the association between social position and anthropometric status in women and men Brazilian adult. This was a cross-sectional study that used baseline data collected from 2008 to 2010 for the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil, in Portuguese), in the six major Brazilian state capital cities. A total of 15,105 active and retired civil servants aged from 35 to 74 years. Two latent variables were defined by latent class analysis, social position and anthropometric status. Both constructs and the analyses were separately evaluated by sex. Associations were assessed using multivariate logistic regression analysis with adjustment for age, self-reported skin color/race, and marital status. Around 44% of the women and 26% of the men were classified as overweight or obese. Social position tended to be lower in women (43.2%) and higher among men (40.4%). Heavier women were more likely to be black and brown-skinned, whereas slimmer women were more likely to be white. After adjustment, women's weight increased as social position decreased (OR = 1.52; 95%CI: 1.36-1.70), whereas in men weight decreased as social position decreased (OR = 0.87; 95%CI: 0.76-0.99). Social position affected the anthropometric status of women and men differently, with body patterns also being affected by ethnicity/skin color, showing the potentiality of taking the intersectional perspective when investigating the possible social determinants of the phenomenon

Anthropometry · Latent class model · Logistic regression · Marital status · Obesity · Overweight · Political science · Population · Social class · Social position · Social relation · Social status · Sociology · Demography · Health disparities and outcomes · Medicine · Obesity and Health Practices · Obesity, Physical Activity, Diet · Psychology · Social Psychology · Gerontology