Examinando por Autor "Bilal, Usama"
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- PublicaciónSólo datosComplex Systems Approaches to Diet: A Systematic Review(American Journal of Preventive Medicine, 2019-07-17) Langellier, Brent A.; Bilal, Usama; Montes, Felipe; Meisel, Jose D.; de Oliveira Cardoso, Letícia; Hammond, Ross A.Context Complex systems approaches can help to elucidate mechanisms that shape population-level patterns in diet and inform policy approaches. This study reports results of a structured review of key design elements and methods used by existing complex systems models of diet. Evidence acquisition The authors conducted systematic searches of the PubMed, Web of Science, and LILACS databases between May and September 2018 to identify peer-reviewed manuscripts that used agent-based models or system dynamics models to explore diet. Searches occurred between November 2017 and May 2018. The authors extracted relevant data regarding each study's diet and nutrition outcomes; use of data for parameterization, calibration, and validation; results; and generated insights. The literature search adhered to PRISMA guidelines. Evidence synthesis Twenty-two agent-based model studies and five system dynamics model studies met the inclusion criteria. Mechanistic studies explored neighborhood- (e.g., residential segregation), interpersonal- (e.g., social influence) and individual-level (e.g., heuristics that guide food purchasing decisions) mechanisms that influence diet. Policy-oriented studies examined policies related to food pricing, the food environment, advertising, nutrition labels, and social norms. Most studies used empirical data to inform values of key parameters; studies varied in their approaches to calibration and validation. Conclusions Opportunities remain to advance the state of the science of complex systems approaches to diet and nutrition. These include using models to better understand mechanisms driving population-level diet, increasing use of models for policy decision support, and leveraging the wide availability of epidemiologic and policy evaluation data to improve model validation.
- PublicaciónSólo datosLife expectancy and mortality in 363 cities of Latin America(Nature Medicine, 2021-02-25) Bilal, Usama; Hessel, Philipp; Perez-Ferrer, Carolina; Michael, Yvonne L.; Alfaro, Tania; Tenorio-Mucha, Janeth; Friche, Amelia A. L.; Pina, Maria Fatima; Vives, Alejandra; Quick, Harrison; Alazraqui, Marcio; Rodriguez, Daniel A.; Miranda, J. Jaime; Diez-Roux, Ana V.; the SALURBAL groupThe concept of a so-called urban advantage in health ignores the possibility of heterogeneity in health outcomes across cities. Using a harmonized dataset from the SALURBAL project, we describe variability and predictors of life expectancy and proportionate mortality in 363 cities across nine Latin American countries. Life expectancy differed substantially across cities within the same country. Cause-specific mortality also varied across cities, with some causes of death (unintentional and violent injuries and deaths) showing large variation within countries, whereas other causes of death (communicable, maternal, neonatal and nutritional, cancer, cardiovascular disease and other noncommunicable diseases) varied substantially between countries. In multivariable mixed models, higher levels of education, water access and sanitation and less overcrowding were associated with longer life expectancy, a relatively lower proportion of communicable, maternal, neonatal and nutritional deaths and a higher proportion of deaths from cancer, cardiovascular disease and other noncommunicable diseases. These results highlight considerable heterogeneity in life expectancy and causes of death across cities of Latin America, revealing modifiable factors that could be amenable to urban policies aimed toward improving urban health in Latin America and more generally in other urban environments.