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Association of moderate-to-vigorous physical activity with neck circumference in eight Latin American countries.

ABSTRACT: BACKGROUND:Physical activity is a cornerstone in the prevention and treatment of obesity. There are relatively few studies that explore the effect of accelerometer-determined moderate-to-vigorous physical activity (MVPA) on neck circumference (NC), most of them confined to single high-income countries. The present study investigated the association of accelerometer-determined MVPA with NC in adolescents and adults from eight Latin American countries, which are mostly upper-middle income countries. METHODS:The sample consisted of 2370 participants (47.8% male) from the Latin American Study of Nutrition and Health, a multicenter cross-sectional nutrition and health surveillance study of a nationally representative sample from eight Latin American countries (Argentina, Brazil, Chile, Colombia, Costa Rica, Ecuador, Peru, and Venezuela). Times (min/day) in MVPA (defined as time accumulated at ?1952 activity counts/min) was assessed by ActiGraph GT3X+ accelerometer over 7?days. NC for adolescent was categorized as abnormal if circumference was >?34.5?cm for boys and?>?31.25 for girls, whereas for adults the cut-off points for abnormal were?>?39?cm for men and?>?35?cm women. Multilevel logistic models, including country and region as random effects and adjusted for sex, age, socioeconomic level, and educational level, were used to study the association between MVPA and NC. RESULTS:The average time of MVPA was 34.88?min/day, ranging from 31.16 in Venezuela to 40.27 in Chile. Concerning NC, 37.0% of the sample was classified as having elevated NC. Chile was the country with the highest percentage of people with elevated NC (56.9%), and Colombia had the lowest percentage (24.8%). Overall, the MVPA (min/day) was associated with elevated NC (OR?=?0.994, CI95%?=?0.990-0.998). In Costa Rica and Peru, there were significant associations between MVPA and NC when analyzed by country. CONCLUSIONS:The present study provided evidence of significant associations between MVPA and NC in adolescents and adults from Latin America, independent of sex, age, socioeconomic level, and educational level. This analysis of accelerometry data and NC represents the first examination of these associations in eight Latin America countries. Further research is required to understand the differences between countries in the observed associations. TRIAL REGISTRATION:ClinicalTrials.Gov NCT02226627 . Retrospectively registered on August 27, 2014.

SUBMITTER: Luis de Moraes Ferrari G

PROVIDER: S-EPMC6591862 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature

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Association of moderate-to-vigorous physical activity with neck circumference in eight Latin American countries.

Luis de Moraes Ferrari Gerson G Kovalskys Irina I Fisberg Mauro M Gomez Georgina G Rigotti Attilio A Sanabria Lilia Yadira Cortés LYC García Martha Cecilia Yépez MCY Torres Rossina Gabriella Pareja RGP Herrera-Cuenca Marianella M Zimberg Ioná Zalcman IZ Guajardo Viviana V Pratt Michael M Pires Carlos C Solé Dirceu D

BMC public health 20190624 1

<h4>Background</h4>Physical activity is a cornerstone in the prevention and treatment of obesity. There are relatively few studies that explore the effect of accelerometer-determined moderate-to-vigorous physical activity (MVPA) on neck circumference (NC), most of them confined to single high-income countries. The present study investigated the association of accelerometer-determined MVPA with NC in adolescents and adults from eight Latin American countries, which are mostly upper-middle income ...[more]

PMID: 31234866

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Project description:ObjectiveTo assess the association between the physical activity level and the built environment by accessibility, microinfrastructure and security in Latin America (LA).DesignWe conducted a multicentre cross-sectional study to collect physical activity and built environment data. The levels of physical activity were calculated through the International Physical Activity Questionnaire survey. Using the Neighbourhood Environment Walkability Scale-Abbreviated, characteristics of the built environment were measured through three domains: accessibility, microinfrastructure and security. To estimate the association of the built environment and physical activity, we used mixed effects logistic regression analysis. In addition, likelihood ratio test to account for clustered effect within countries and/or cities was used.SettingEight countries in LA.ParticipantsAdults aged 15-65 years (n=9218) living in urban areas and consented to participate of the Latin American Study of Nutrition and Health.ResultsMost of the population in LA had access to a grocery store (97.2%), public transport stop (91.5%) and children's playground (81.6%). Metropolitan parks were more accessible in Ecuador (59.8%) and Colombia (59.2%) than in Venezuela (33.5%). Individuals located within 20 min of walking from sport facilities or children's playground areas were more likely to perform moderate-to-high physical activity OR 1.20 (95% CI 1.06 to 1.36) and OR 1.25 (95% CI 1.02 to 1.53), respectively. Only 14.5% of the population from the region considered that their neighbourhood had an adequate design for walking or cycling. Likewise, among adults living in LA, only 39.75% had the perception of living in a safe neighbourhood.ConclusionsThis multicentre study shows that currently, LA built environment does not promote physical activity in the region. Our findings provide the rationale to push forward, at regional and national levels, policies and interventions that will help to achieve a safe, healthy and friendly built environment to encourage participation in active recreation and sports in leisure time.Trial registration numberNCT02226627.

Project description:BackgroundNovel influenza surveillance systems that leverage Internet-based real-time data sources including Internet search frequencies, social-network information, and crowd-sourced flu surveillance tools have shown improved accuracy over the past few years in data-rich countries like the United States. These systems not only track flu activity accurately, but they also report flu estimates a week or more ahead of the publication of reports produced by healthcare-based systems, such as those implemented and managed by the Centers for Disease Control and Prevention. Previous work has shown that the predictive capabilities of novel flu surveillance systems, like Google Flu Trends (GFT), in developing countries in Latin America have not yet delivered acceptable flu estimates.ObjectiveThe aim of this study was to show that recent methodological improvements on the use of Internet search engine information to track diseases can lead to improved retrospective flu estimates in multiple countries in Latin America.MethodsA machine learning-based methodology that uses flu-related Internet search activity and historical information to monitor flu activity, named ARGO (AutoRegression with Google search), was extended to generate flu predictions for 8 Latin American countries (Argentina, Bolivia, Brazil, Chile, Mexico, Paraguay, Peru, and Uruguay) for the time period: January 2012 to December of 2016. These retrospective (out-of-sample) Influenza activity predictions were compared with historically observed flu suspected cases in each country, as reported by Flunet, an influenza surveillance database maintained by the World Health Organization. For a baseline comparison, retrospective (out-of-sample) flu estimates were produced for the same time period using autoregressive models that only leverage historical flu activity information.ResultsOur results show that ARGO-like models' predictive power outperform autoregressive models in 6 out of 8 countries in the 2012-2016 time period. Moreover, ARGO significantly improves on historical flu estimates produced by the now discontinued GFT for the time period of 2012-2015, where GFT information is publicly available.ConclusionsWe demonstrate here that a self-correcting machine learning method, leveraging Internet-based disease-related search activity and historical flu trends, has the potential to produce reliable and timely flu estimates in multiple Latin American countries. This methodology may prove helpful to local public health officials who design and implement interventions aimed at mitigating the effects of influenza outbreaks. Our methodology generally outperforms both the now-discontinued tool GFT, and autoregressive methodologies that exploit only historical flu activity to produce future disease estimates.

Dataset Information

Association of moderate-to-vigorous physical activity with neck circumference in eight Latin American countries.

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Association of moderate-to-vigorous physical activity with neck circumference in eight Latin American countries.

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