Data collection and analysis tools for food security and nutrition. Towards enhancing effective, inclusive, evidence-informed, decision making

Throughout the world, high-quality, timely and relevant data are key to inform actions that promote better access to food and improved nutrition. • Despite the abundant and growing availability of data and information relevant to food security and nutrition, often policymakers are not aware of the existence and relevance of such data or do not use them appropriately, due to challenges at each step of the data cycle, which includes: defining priorities and data needs; reviewing, consolidating, collecting and curating data; analyzing the data using appropriate tools; translating data into relevant insights to be disseminated and discussed; and, finally, using data for decision-making. • Fundamental data gaps still exist to correctly guide action and inform policymaking, especially in terms of timely and sufficiently granular data on people’s ability to locally produce and access food, on their actual food and nutrient consumption, and on their nutritional status. Increased and sustained financial investment is needed to overcome these gaps. • Several other constraints limit the effectiveness of data-informed policy action, especially in low-resource countries. Key among them is the low level of data literacy and analysis skills (for both qualitative and quantitative data) on the part of data and information users at all levels – from data collectors and analysts, to decision-makers, and to the people, as the ultimate beneficiaries of food security and nutrition policies. • The complexity of the system of public and private actors and institutions involved in food security and nutrition data, coupled with the rapidly changing characteristics of today’s data ecosystems due to the digital revolution and the pervasiveness of the internet, brings to centre stage the need for global coordination to improve data governance. Particularly urgent is the need to reach agreement on the nature of FSN data and information as a public good, and, on that basis, to establish a global legal framework that allows for the broadest possible circulation of relevant information, while preserving the rights of the people to whom the data ultimately belongs

Implementation tells us more beyond pooled estimates: Secondary analysis of a multicountry mHealth trial to reduce blood pressure

Background: The uptake of an intervention aimed at improving health-related lifestyles may be influenced by the participant’s stage of readiness to change behaviors. Objective: We conducted secondary analysis of the Grupo de Investigación en Salud Móvil en América Latina (GISMAL) trial according to levels of uptake of intervention (dose-response) to explore outcomes by country, in order to verify the consistency of the trial’s pooled results, and by each participant’s stage of readiness to change a given lifestyle at baseline. The rationale for this secondary analysis is motivated by the original design of the GISMAL study that was independently powered for the primary outcome—blood pressure—for each country. Methods: We conducted a secondary analysis of a mobile health (mHealth) multicountry trial conducted in Argentina, Guatemala, and Peru. The intervention consisted of monthly motivational phone calls by a trained nutritionist and weekly tailored text messages (short message service), over a 12-month period, aimed to enact change on 4 health-related behaviors: salt added to foods when cooking, consumption of high-fat and high-sugar foods, consumption of fruits or vegetables, and practice of physical activity. Results were stratified by country and by participants’ stage of readiness to change (precontemplation or contemplation; preparation or action; or maintenance) at baseline. Exposure (intervention uptake) was the level of intervention (<50%, 50%-74%, and ≥75%) received by the participant in terms of phone calls. Linear regressions were performed to model the outcomes of interest, presented as standardized mean values of the following: blood pressure, body weight, body mass index, waist circumference, physical activity, and the 4 health-related behaviors. Results: For each outcome of interest, considering the intervention uptake, the magnitude and direction of the intervention effect differed by country and by participants’ stage of readiness to change at baseline. Among those in the high intervention uptake category, reductions in systolic blood pressure were only achieved in Peru, whereas fruit and vegetable consumption also showed reductions among those who were at the maintenance stage at baseline in Argentina and Guatemala. Conclusions: Designing interventions oriented toward improving health-related lifestyle behaviors may benefit from recognizing baseline readiness to change and issues in implementation uptake. Trial Registration: ClinicalTrials.gov NCT01295216; http://clinicaltrials.gov/ct2/show/NCT01295216 (Archived by WebCite at http://www.webcitation.org/72tMF0B7B)

Implementation tells us more beyond pooled estimates: Secondary analysis of a multicountry mhealth trial to reduce blood pressure

Background: The uptake of an intervention aimed at improving health-related lifestyles may be influenced by the participant’s stage of readiness to change behaviors. Objective: We conducted secondary analysis of the Grupo de Investigación en Salud Móvil en América Latina (GISMAL) trial according to levels of uptake of intervention (dose-response) to explore outcomes by country, in order to verify the consistency of the trial’s pooled results, and by each participant’s stage of readiness to change a given lifestyle at baseline. The rationale for this secondary analysis is motivated by the original design of the GISMAL study that was independently powered for the primary outcome—blood pressure—for each country. Methods: We conducted a secondary analysis of a mobile health (mHealth) multicountry trial conducted in Argentina, Guatemala, and Peru. The intervention consisted of monthly motivational phone calls by a trained nutritionist and weekly tailored text messages (short message service), over a 12-month period, aimed to enact change on 4 health-related behaviors: salt added to foods when cooking, consumption of high-fat and high-sugar foods, consumption of fruits or vegetables, and practice of physical activity. Results were stratified by country and by participants’ stage of readiness to change (precontemplation or contemplation; preparation or action; or maintenance) at baseline. Exposure (intervention uptake) was the level of intervention (<50%, 50%-74%, and ≥75%) received by the participant in terms of phone calls. Linear regressions were performed to model the outcomes of interest, presented as standardized mean values of the following: blood pressure, body weight, body mass index, waist circumference, physical activity, and the 4 health-related behaviors. Results: For each outcome of interest, considering the intervention uptake, the magnitude and direction of the intervention effect differed by country and by participants’ stage of readiness to change at baseline. Among those in the high intervention uptake category, reductions in systolic blood pressure were only achieved in Peru, whereas fruit and vegetable consumption also showed reductions among those who were at the maintenance stage at baseline in Argentina and Guatemala. Conclusions: Designing interventions oriented toward improving health-related lifestyle behaviors may benefit from recognizing baseline readiness to change and issues in implementation uptake.Fil: Carrillo-Larco, Rodrigo M.. Universidad Peruana Cayetano Heredia; Perú. Imperial College London; Reino UnidoFil: Jiwani, Safia S.. Universidad Peruana Cayetano Heredia; PerúFil: Diez Canseco, Francisco. Universidad Peruana Cayetano Heredia; PerúFil: Kanter, Rebecca. Institute of Nutrition of Central America and Panama; Guatemala. Universidad de Chile; ChileFil: Beratarrechea, Andrea Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Institute for Clinical Effectiveness and Health Policy; ArgentinaFil: Irazola, Vilma. Institute for Clinical Effectiveness and Health Policy; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Ramirez Zea, Manuel. Institute of Nutrition of Central America and Panama; GuatemalaFil: Rubinstein, Adolfo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; ArgentinaFil: Martinez, Homero. Nutrition International; Canadá. Hospital Infantil de Mexico Federico Gomez; MéxicoFil: Miranda, J. Jaime. Cronicas Centro de Excelencia En Enfermedades Crónicas; Perú. Universidad Peruana Cayetano Heredia; PerúFil: Alasino, Adrían. Funprecal; ArgentinaFil: Budiel Moscoso, Berneth Nuris. Universidad Peruana Cayetano Heredia; PerúFil: Carrara, Carolina. Instituto Universitario del Hospital Italiano de Buenos Aires; ArgentinaFil: Espinoza Surichaqui, Jackelyn. Universidad Peruana Cayetano Heredia; PerúFil: Giardini, Gimena. Instituto Universitario del Hospital Italiano de Buenos Aires; ArgentinaFil: Guevara, Jesica. Institute of Nutrition of Central America And Panama Guatemala; GuatemalaFil: Morales Juárez, Analí. Institute of Nutrition of Central America And Panama Guatemala; GuatemalaFil: Lázaro Cuesta, Lorena. Funprecal; ArgentinaFil: Lewitan, Dalia. Institute For Clinical Effectiveness And Health Policy; ArgentinaFil: Palomares Estrada, Lita. Universidad Peruana Cayetano Heredia; PerúFil: Martínez Ramírez, Carla. Universidad Peruana Cayetano Heredia; PerúFil: de la Cruz, Gloria Robles. Universidad Peruana Cayetano Heredia; PerúFil: Salguero, Julissa. Institute Of Nutrition Of Central America And Panama Guatemala; GuatemalaFil: Saravia Drago, Juan Carlos. Universidad Peruana Cayetano Heredia; PerúFil: Urtasún, María. Institute For Clinical Effectiveness And Health Policy; ArgentinaFil: Zavala Loayza, José Alfredo. Universidad Peruana Cayetano Heredia; Per

Measuring Food Culture: a Tool for Public Health Practice

Purpose of Review Food culture is a ubiquitous aspect of all societies. This review provides an overview of methods for measuring food culture, and emphasizes the importance of these measures not just for description, but also for strengthening public health practice, primarily through the development of better interventions; to monitor and evaluate changes in diet and nutrition; and for the development of strategies for sustainability and dissemination. Recent Findings Food culture measurement has enriched public health practice through its use of myriad approaches, including interviews, cultural domain analysis, visual methods, observation, time allocation studies, focus groups and community workshops, household studies, and textual analysis. Food culture measurement is essential for public health practice related to food and nutrition, and can lead to, among other outcomes, improved implementation research in nutrition, understanding household dynamics that impact nutritional outcomes, innovative textual analysis to identify food culture through language, and the selection of interventions conveyed through multiple strategies, including digital means, such as via social media.Agencia Nacional de Investigacion y Desarrollo (AIND)-Fondo Nacional de Desarrollo Cientifico y Tecnologico (FONDECYT) (ANID-FONDECYT Initiation Research Project) 1117022

Participatory methods to identify perceived healthy and sustainable traditional culinary preparations across three generations of adults: results from Chile's Metropolitan Region and Region of La Araucanía

Comisión Nacional de Investigación Científica y Tecnológica (CONICYT)-Fondo Nacional de Desarrollo Científico y Tecnológico (FONDECYT): 11170225. Comisión Nacional de Investigación Científica y Tecnológica-Fondo Nacional de Desarrollo Científico y Tecnológico: 11170225

Strengthening Local Food Systems in Times of Concomitant Global Crises: Reflections From Chile

Comision Nacional de Investigacion Cientifica y Tecnologica (CONICYT)-Fondo Nacional de Desarrollo Cientifico y Tecnologico ([FONDECYT] FONDECYT Initiation Research Project grant) 1117022

Management of sickle cell disease from childhood through adulthood

AbstractSickle cell disease (SCD) is a genetic disorder characterised by anaemia and “sickling” of red blood cells, leading to chronic haemolytic anaemia, vascular injury, and organ dysfunction. Although children and adults experience many similar symptoms and problems, complications increase with age, leading to early mortality. Hydroxyurea (hydroxycarbamide), the only US Food and Drug Administration-approved treatment, continues to be under-utilised and other treatments available to children are often inaccessible for adults. Haematopoietic stem-cell transplantation is a curative option, but is limited by a lack of donors and concerns for transplant-related toxicities. Although comprehensive programs exist in paediatrics, affected adults may not have access to preventative and comprehensive healthcare because of a lack of providers or care coordination. They are often forced to rely on urgent care, leading to increased healthcare utilisation costs and inappropriate treatment. This problem highlights the importance of primary care during the transition from paediatrics to adulthood

Reducing Food Loss And Waste While Improving The Public's Health

Artículo de publicación ISISin acceso a texto completoAn estimated 30 percent of the global food supply is lost or wasted, as is about 40 percent of the US food supply. There are valuable synergies between efforts to reduce food loss and waste and those promoting public health. To demonstrate the potential impact of building upon these synergies, we present an analysis of policies and interventions addressing food loss and waste, food security, food safety, and nutrition. We characterize as opportunities the policies and interventions that promote synergistic relationships between goals in the fields of food loss and waste and of public health. We characterize as challenges the policies and interventions that may reduce food loss and waste but compromise public health, or improve public health but increase food loss and waste. Some interventions are both opportunities and challenges. With deliberate planning and action, challenges can often be addressed and turned into opportunities. In other cases, it may be necessary to strike a balance between potential benefit in one area and risk of harm in the other. To help policy makers make the best use of the opportunities while tackling the challenges, it is essential to consider public health in efforts to reduce food loss and waste.Comision Nacional de Investigacion Cientifica y Tecnologica-Fondo Nacional de Desarrollo Cientifico y Tecnologico in Chile 315018