Identifying patterns of unhealthy diet and physical activity in four countries of the Americas: a latent class analysis

Objectives. To determine clusters of individuals who present similar health behaviors in terms of diet, physical activity, and sedentarism, in four countries of the Americas: Brazil (2013), Chile (2009), Mexico (2012), and the United States of America (2013). This makes it possible to determine whic...

Full description

Bibliographic Details
Main Authors: Sahara Graf, Michele Cecchini
Format: Article
Language:English
Published: Pan American Health Organization 2018-07-01
Series:Revista Panamericana de Salud Pública
Subjects:
Online Access:http://iris.paho.org/xmlui/handle/123456789/49046
id doaj-2da5ccbbae3f47ba9abe354aec3de998
record_format Article
spelling doaj-2da5ccbbae3f47ba9abe354aec3de9982020-11-25T00:42:46ZengPan American Health OrganizationRevista Panamericana de Salud Pública1020-49891680-53482018-07-014211010.26633/RPSP.2018.56e56Identifying patterns of unhealthy diet and physical activity in four countries of the Americas: a latent class analysisSahara Graf0Michele Cecchini1Consultant, Villeneuve d'Ascq, FranceOrganisation for Economic Co-operation and Development, Health Division, Paris, FranceObjectives. To determine clusters of individuals who present similar health behaviors in terms of diet, physical activity, and sedentarism, in four countries of the Americas: Brazil (2013), Chile (2009), Mexico (2012), and the United States of America (2013). This makes it possible to determine which of these behaviors occur simultaneously, as well as the demographic and sociodemographic characteristics associated with each cluster. Methods. The individual-level data analyzed were drawn from national health interviews and health examination surveys in Brazil, Chile, Mexico, and the United States, for different time periods. Using international physical activity guidelines and national dietary guidelines, the health behaviors of each individual were assessed. A latent class analysis was conducted to classify individuals into clusters based on these behaviors, and was followed by multinomial regressions to determine the characteristics of those in each class. Results. Overall, most individuals belonged to the classes characterized by average or unhealthy diets but sufficient amounts of physical activity. However, large differences exist across countries and population groups. Men with higher socioeconomic characteristics were globally more likely to belong to the least healthy class in each country. Conclusions. Findings from this analysis support the implementation of more refined policy actions to target specific unhealthy behaviors in different population groups, defined by gender, age group, socioeconomic status, and, to some extent, place of residence. The at-risk populations identified through this paper are those that should be targeted by upcoming interventions.http://iris.paho.org/xmlui/handle/123456789/49046Epidemiologydietlife styleexerciseAmericas
collection DOAJ
language English
format Article
sources DOAJ
author Sahara Graf
Michele Cecchini
spellingShingle Sahara Graf
Michele Cecchini
Identifying patterns of unhealthy diet and physical activity in four countries of the Americas: a latent class analysis
Revista Panamericana de Salud Pública
Epidemiology
diet
life style
exercise
Americas
author_facet Sahara Graf
Michele Cecchini
author_sort Sahara Graf
title Identifying patterns of unhealthy diet and physical activity in four countries of the Americas: a latent class analysis
title_short Identifying patterns of unhealthy diet and physical activity in four countries of the Americas: a latent class analysis
title_full Identifying patterns of unhealthy diet and physical activity in four countries of the Americas: a latent class analysis
title_fullStr Identifying patterns of unhealthy diet and physical activity in four countries of the Americas: a latent class analysis
title_full_unstemmed Identifying patterns of unhealthy diet and physical activity in four countries of the Americas: a latent class analysis
title_sort identifying patterns of unhealthy diet and physical activity in four countries of the americas: a latent class analysis
publisher Pan American Health Organization
series Revista Panamericana de Salud Pública
issn 1020-4989
1680-5348
publishDate 2018-07-01
description Objectives. To determine clusters of individuals who present similar health behaviors in terms of diet, physical activity, and sedentarism, in four countries of the Americas: Brazil (2013), Chile (2009), Mexico (2012), and the United States of America (2013). This makes it possible to determine which of these behaviors occur simultaneously, as well as the demographic and sociodemographic characteristics associated with each cluster. Methods. The individual-level data analyzed were drawn from national health interviews and health examination surveys in Brazil, Chile, Mexico, and the United States, for different time periods. Using international physical activity guidelines and national dietary guidelines, the health behaviors of each individual were assessed. A latent class analysis was conducted to classify individuals into clusters based on these behaviors, and was followed by multinomial regressions to determine the characteristics of those in each class. Results. Overall, most individuals belonged to the classes characterized by average or unhealthy diets but sufficient amounts of physical activity. However, large differences exist across countries and population groups. Men with higher socioeconomic characteristics were globally more likely to belong to the least healthy class in each country. Conclusions. Findings from this analysis support the implementation of more refined policy actions to target specific unhealthy behaviors in different population groups, defined by gender, age group, socioeconomic status, and, to some extent, place of residence. The at-risk populations identified through this paper are those that should be targeted by upcoming interventions.
topic Epidemiology
diet
life style
exercise
Americas
url http://iris.paho.org/xmlui/handle/123456789/49046
work_keys_str_mv AT saharagraf identifyingpatternsofunhealthydietandphysicalactivityinfourcountriesoftheamericasalatentclassanalysis
AT michelececchini identifyingpatternsofunhealthydietandphysicalactivityinfourcountriesoftheamericasalatentclassanalysis
_version_ 1725280375901519872