Author
Aluísio J D Barros
Other affiliations: Universidade Católica de Pelotas, Mount Sinai St. Luke's and Mount Sinai Roosevelt, Harvard University ...read more
Bio: Aluísio J D Barros is an academic researcher from Universidade Federal de Pelotas. The author has contributed to research in topics: Population & Cohort study. The author has an hindex of 74, co-authored 482 publications receiving 29454 citations. Previous affiliations of Aluísio J D Barros include Universidade Católica de Pelotas & Mount Sinai St. Luke's and Mount Sinai Roosevelt.
Topics: Population, Cohort study, Medicine, Socioeconomic status, Cohort
Papers published on a yearly basis
Papers
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Leandra Abarca-Gómez1, Ziad Abdeen2, Zargar Abdul Hamid2, Niveen M E Abu-Rmeileh +1021 more•Institutions (7)
TL;DR: Trends in mean BMI have recently flattened in northwestern Europe and the high-income English-speaking and Asia-Pacific regions for both sexes, southwestern Europe for boys, and central and Andean Latin America for girls, and by contrast, the rise in BMI has accelerated in east and south Asia forboth sexes, and southeast Asia for boys.
4,317 citations
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TL;DR: The meta-analyses indicate protection against child infections and malocclusion, increases in intelligence, and probable reductions in overweight and diabetes, and an increase in tooth decay with longer periods of breastfeeding.
4,291 citations
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TL;DR: Cox or Poisson regression with robust variance and log-binomial regression provide correct estimates and are a better alternative for the analysis of cross-sectional studies with binary outcomes than logistic regression, since the prevalence ratio is more interpretable and easier to communicate to non-specialists than the odds ratio.
Abstract: Cross-sectional studies with binary outcomes analyzed by logistic regression are frequent in the epidemiological literature. However, the odds ratio can importantly overestimate the prevalence ratio, the measure of choice in these studies. Also, controlling for confounding is not equivalent for the two measures. In this paper we explore alternatives for modeling data of such studies with techniques that directly estimate the prevalence ratio. We compared Cox regression with constant time at risk, Poisson regression and log-binomial regression against the standard Mantel-Haenszel estimators. Models with robust variance estimators in Cox and Poisson regressions and variance corrected by the scale parameter in Poisson regression were also evaluated. Three outcomes, from a cross-sectional study carried out in Pelotas, Brazil, with different levels of prevalence were explored: weight-for-age deficit (4%), asthma (31%) and mother in a paid job (52%). Unadjusted Cox/Poisson regression and Poisson regression with scale parameter adjusted by deviance performed worst in terms of interval estimates. Poisson regression with scale parameter adjusted by χ2 showed variable performance depending on the outcome prevalence. Cox/Poisson regression with robust variance, and log-binomial regression performed equally well when the model was correctly specified. Cox or Poisson regression with robust variance and log-binomial regression provide correct estimates and are a better alternative for the analysis of cross-sectional studies with binary outcomes than logistic regression, since the prevalence ratio is more interpretable and easier to communicate to non-specialists than the odds ratio. However, precautions are needed to avoid estimation problems in specific situations.
3,455 citations
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TL;DR: The number of adults with raised blood pressure increased from 594 million in 1975 to 1·13 billion in 2015, with the increase largely in low-income and middle-income countries, and the contributions of changes in prevalence versus population growth and ageing to the increase.
1,573 citations
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TL;DR: National targets for 2035 are proposed for stillbirths and neonatal deaths, compatible with the under-5 mortality targets of no more than 20 per 1000 livebirths, and targets for 2030 are given.
1,361 citations
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5,737 citations
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TL;DR: The high mortality and disease burden resulting from these nutrition-related factors make a compelling case for the urgent implementation of interventions to reduce their occurrence or ameliorate their consequences.
5,634 citations
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TL;DR: It is estimated that undernutrition in the aggregate--including fetal growth restriction, stunting, wasting, and deficiencies of vitamin A and zinc along with suboptimum breastfeeding--is a cause of 3·1 million child deaths annually or 45% of all child deaths in 2011.
5,574 citations
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Leandra Abarca-Gómez1, Ziad Abdeen2, Zargar Abdul Hamid2, Niveen M E Abu-Rmeileh +1021 more•Institutions (7)
TL;DR: Trends in mean BMI have recently flattened in northwestern Europe and the high-income English-speaking and Asia-Pacific regions for both sexes, southwestern Europe for boys, and central and Andean Latin America for girls, and by contrast, the rise in BMI has accelerated in east and south Asia forboth sexes, and southeast Asia for boys.
4,317 citations