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Author Harling, G.; Lima Neto, A.S.; Sousa, G.S.; Machado, M.M.T.; Castro, M.C. url  doi
openurl 
  Title Determinants of tuberculosis transmission and treatment abandonment in Fortaleza, Brazil Type Journal Article
  Year 2017 Publication BMC Public Health Abbreviated Journal BMC Public Health  
  Volume 17 Issue (up) 1 Pages 508  
  Keywords Brazil; Epidemiology; Fortaleza; Social determinants; Spatial analysis; Treatment; Treatment failure; Tuberculosis  
  Abstract BACKGROUND: Tuberculosis (TB) remains a public health problem, despite recent achievements in reducing incidence and mortality rates. In Brazil, these achievements were above the worldwide average, but marked by large regional heterogeneities. In Fortaleza (5th largest city in Brazil), the tuberculosis cure rate has been declining and treatment abandonment has been increasing in the past decade, despite a reduction in incidence and an increase in directly observed therapy (DOT). These trends put efforts to eliminate tuberculosis at risk. We therefore sought to determine social and programmatic determinants of tuberculosis incidence and treatment abandonment in Fortaleza. METHODS: We analyzed sociodemographic and clinical data for all new tuberculosis cases notified in the Notifiable Diseases Information System (SINAN) from Fortaleza between 2007 and 2014. We calculated incidence rates for 117 neighborhoods in Fortaleza, assessed their spatial clustering, and used spatial regression models to quantify associations between neighborhood-level covariates and incidence rates. We used hierarchical logistic regression models to evaluate how individual- and neighborhood-level covariates predicted tuberculosis treatment abandonment. RESULTS: There were 12,338 new cases reported during the study period. Case rates across neighborhoods were significantly positively clustered in two low-income areas close to the city center. In an adjusted model, tuberculosis rates were significantly higher in neighborhoods with lower literacy, higher sewerage access and homicide rates, and a greater proportion of self-reported black residents. Treatment was abandoned in 1901 cases (15.4%), a rate that rose by 71% between 2007 and 2014. Abandonment was significantly associated with many individual sociodemographic and clinical factors. Notably, being recommended for DOT was protective for those who completed DOT, but associated with abandonment for those who did not. CONCLUSION: Low socioeconomic status areas have higher tuberculosis rates, and low socioeconomic individuals have higher risk of treatment abandonment, in Fortaleza. Treatment abandonment rates are growing despite the advent of universal DOT recommendations in Brazil. Proactive social policies, and active contact tracing to find missed cases, may help reduce the tuberculosis burden in this setting.  
  Address Department of Global Health and Population, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Building I, Room 1113, Boston, MA, 02115, USA. mcastro@hsph.harvard.edu  
  Corporate Author Thesis  
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  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1471-2458 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:28545423 Approved no  
  Call Number ref @ user @ Serial 97635  
Permanent link to this record
 

 
Author Jimenez, M.M.; Arias, J.; Carrasquilla, G. url  openurl
  Title Seroprevalence of dengue infection in the municipalities of Armenia, Calarca, La Tebaida and Montenegro in Quindio, 2014 Type Journal Article
  Year 2017 Publication Biomedica : Revista del Instituto Nacional de Salud Abbreviated Journal Biomedica  
  Volume 37 Issue (up) 1 Pages 34-41  
  Keywords Dengue/epidemiology; immunoglobulin G; immunoglobulin M; prevalence; public health, Colombia  
  Abstract INTRODUCTION: Dengue is a serious public health problem in Colombia; it is prevalent in 90% of the municipalities in Quindio. Studies on its seroprevalence are required to address public health interventions. OBJECTIVE: To establish the seroprevalence of dengue infection in neighborhoods with high incidence in the municipalities of Armenia, Calarca, La Tebaida and Montenegro, Quindio, in 2014. MATERIALS AND METHODS: We conducted a probabilistic, stratified, two-stage prevalence study. We interviewed 658 residents in the urban area of the selected municipalities. After they signed the informed consent, we took a blood sample to determine dengue IgG and IgM antibodies. RESULTS: Seroprevalence of IgG in Quindio was 89,4%; in Armenia it was 88,7%, in Calarca, 81,5%, in Montenegro, 91,8% and in La Tebaida 97,8%. IgM was 14, 2% in Quindio; in Armenia it was 11,5%, in Calarca, 13,0%, in Montenegro, 13,1% and in La Tebaida, 28,9%. CONCLUSIONS: We found a high prevalence of both IgG and IgM in the four municipalities. We had positive results for IgM in all age groups, which suggests recent infection. We also found simultaneous seropositivity for IgG and IgM (12.9%), which may indicate infection by another serotype or presence of infection in the past three months. A multisectoral approach is necessary for dengue control in Quindio.  
  Address Eje de Salud Publica, Fundacion Santa Fe de Bogota, Bogota, D.C., Colombia. monica.jimenez@fsfb.org.co  
  Corporate Author Thesis  
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  Language English Summary Language Original Title  
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  Series Volume Series Issue Edition  
  ISSN 0120-4157 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:28527246 Approved no  
  Call Number ref @ user @ Serial 97637  
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Author Barros, J.; Morales, S.; Echavarri, O.; Garcia, A.; Ortega, J.; Asahi, T.; Moya, C.; Fischman, R.; Maino, M.P.; Nunez, C. url  doi
openurl 
  Title Suicide detection in Chile: proposing a predictive model for suicide risk in a clinical sample of patients with mood disorders Type Journal Article
  Year 2017 Publication Revista Brasileira de Psiquiatria (Sao Paulo, Brazil : 1999) Abbreviated Journal Rev Bras Psiquiatr  
  Volume 39 Issue (up) 1 Pages 1-11  
  Keywords Adolescent; Adult; Chile; Female; Humans; Male; Mental Disorders/complications/*psychology; Middle Aged; Models, Theoretical; Risk Factors; Sensitivity and Specificity; Socioeconomic Factors; Suicide/*prevention & control; Surveys and Questionnaires; Young Adult  
  Abstract Objective:: To analyze suicidal behavior and build a predictive model for suicide risk using data mining (DM) analysis. Methods:: A study of 707 Chilean mental health patients (with and without suicide risk) was carried out across three healthcare centers in the Metropolitan Region of Santiago, Chile. Three hundred forty-three variables were studied using five questionnaires. DM and machine-learning tools were used via the support vector machine technique. Results:: The model selected 22 variables that, depending on the circumstances in which they all occur, define whether a person belongs in a suicide risk zone (accuracy = 0.78, sensitivity = 0.77, and specificity = 0.79). Being in a suicide risk zone means patients are more vulnerable to suicide attempts or are thinking about suicide. The interrelationship between these variables is highly nonlinear, and it is interesting to note the particular ways in which they are configured for each case. The model shows that the variables of a suicide risk zone are related to individual unrest, personal satisfaction, and reasons for living, particularly those related to beliefs in one's own capacities and coping abilities. Conclusion:: These variables can be used to create an assessment tool and enables us to identify individual risk and protective factors. This may also contribute to therapeutic intervention by strengthening feelings of personal well-being and reasons for staying alive. Our results prompted the design of a new clinical tool, which is fast and easy to use and aids in evaluating the trajectory of suicide risk at a given moment.  
  Address Private practice  
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  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1516-4446 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:27783715 Approved no  
  Call Number ref @ user @ Serial 97654  
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Author McCloskey, M.L.; Tarazona-Meza, C.E.; Jones-Smith, J.C.; Miele, C.H.; Gilman, R.H.; Bernabe-Ortiz, A.; Miranda, J.J.; Checkley, W. url  doi
openurl 
  Title Disparities in dietary intake and physical activity patterns across the urbanization divide in the Peruvian Andes Type Journal Article
  Year 2017 Publication The International Journal of Behavioral Nutrition and Physical Activity Abbreviated Journal Int J Behav Nutr Phys Act  
  Volume 14 Issue (up) 1 Pages 90  
  Keywords 24-h recall; Chronic diseases; Low- and middle income countries; Nutrition transition; Overweight; Urbanization  
  Abstract BACKGROUND: Diet and activity are thought to worsen with urbanization, thereby increasing risk of obesity and chronic diseases. A better understanding of dietary and activity patterns across the urbanization divide may help identify pathways, and therefore intervention targets, leading to the epidemic of overweight seen in low- and middle-income populations. Therefore, we sought to characterize diet and activity in a population-based study of urban and rural residents in Puno, Peru. METHODS: We compared diet and activity in 1005 (503 urban, 502 rural) participants via a lifestyle questionnaire. We then recruited an age- and sex-stratified random sample of 50 (25 urban, 25 rural) participants to further characterize diet and activity. Among these participants, diet composition and macronutrient intake was assessed by three non-consecutive 24-h dietary recalls and physical activity was assessed using Omron JH-720itc pedometers. RESULTS: Among 1005 participants, we found that urban residents consumed protein-rich foods, refined grains, sugary items, and fresh produce more frequently than rural residents. Among the 50 subsample participants, urban dwellers consumed more protein (47 vs. 39 g; p = 0.05), more carbohydrates (280 vs. 220 g; p = 0.03), more sugary foods (98 vs. 48 g, p = 0.02) and had greater dietary diversity (6.4 vs 5.8; p = 0.04). Rural subsample participants consumed more added salt (3.1 vs 1.7 g, p = 0.006) and tended to consume more vegetable oil. As estimated by pedometers, urban subsample participants burned fewer calories per day (191 vs 270 kcal, p = 0.03). CONCLUSIONS: Although urbanization is typically thought to increase consumption of fat, sugar and salt, our 24-h recall results were mixed and showed lower levels of obesity in rural Puno were not necessarily indicative of nutritionally-balanced diets. All subsample participants had relatively traditional lifestyles (low fat intake, limited consumption of processed foods and frequent walking) that may play a role in chronic disease outcomes in this region.  
  Address Biomedical Research Unit, A.B. PRISMA, Lima, Peru. wcheckl1@jhmi.edu  
  Corporate Author Thesis  
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  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1479-5868 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:28693514 Approved no  
  Call Number ref @ user @ Serial 98015  
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Author Herrero, M.; Thornton, P.K.; Power, B.; Bogard, J.R.; Remans, R.; Fritz, S.; Gerber, J.S.; Nelson, G.; See, L.; Waha, K.; Watson, R.A.; West, P.C.; Samberg, L.H.; van de Steeg, J.; Stephenson, E.; van Wijk, M.; Havlik, P. url  doi
openurl 
  Title Farming and the geography of nutrient production for human use: a transdisciplinary analysis Type Journal Article
  Year 2017 Publication The Lancet. Planetary Health Abbreviated Journal Lancet Planet Health  
  Volume 1 Issue (up) 1 Pages e33-e42  
  Keywords  
  Abstract BACKGROUND: Information about the global structure of agriculture and nutrient production and its diversity is essential to improve present understanding of national food production patterns, agricultural livelihoods, and food chains, and their linkages to land use and their associated ecosystems services. Here we provide a plausible breakdown of global agricultural and nutrient production by farm size, and also study the associations between farm size, agricultural diversity, and nutrient production. This analysis is crucial to design interventions that might be appropriately targeted to promote healthy diets and ecosystems in the face of population growth, urbanisation, and climate change. METHODS: We used existing spatially-explicit global datasets to estimate the production levels of 41 major crops, seven livestock, and 14 aquaculture and fish products. From overall production estimates, we estimated the production of vitamin A, vitamin B12, folate, iron, zinc, calcium, calories, and protein. We also estimated the relative contribution of farms of different sizes to the production of different agricultural commodities and associated nutrients, as well as how the diversity of food production based on the number of different products grown per geographic pixel and distribution of products within this pixel (Shannon diversity index [H]) changes with different farm sizes. FINDINGS: Globally, small and medium farms (</=50 ha) produce 51-77% of nearly all commodities and nutrients examined here. However, important regional differences exist. Large farms (>50 ha) dominate production in North America, South America, and Australia and New Zealand. In these regions, large farms contribute between 75% and 100% of all cereal, livestock, and fruit production, and the pattern is similar for other commodity groups. By contrast, small farms (</=20 ha) produce more than 75% of most food commodities in sub-Saharan Africa, southeast Asia, south Asia, and China. In Europe, west Asia and north Africa, and central America, medium-size farms (20-50 ha) also contribute substantially to the production of most food commodities. Very small farms (</=2 ha) are important and have local significance in sub-Saharan Africa, southeast Asia, and south Asia, where they contribute to about 30% of most food commodities. The majority of vegetables (81%), roots and tubers (72%), pulses (67%), fruits (66%), fish and livestock products (60%), and cereals (56%) are produced in diverse landscapes (H>1.5). Similarly, the majority of global micronutrients (53-81%) and protein (57%) are also produced in more diverse agricultural landscapes (H>1.5). By contrast, the majority of sugar (73%) and oil crops (57%) are produced in less diverse ones (H</=1.5), which also account for the majority of global calorie production (56%). The diversity of agricultural and nutrient production diminishes as farm size increases. However, areas of the world with higher agricultural diversity produce more nutrients, irrespective of farm size. INTERPRETATION: Our results show that farm size and diversity of agricultural production vary substantially across regions and are key structural determinants of food and nutrient production that need to be considered in plans to meet social, economic, and environmental targets. At the global level, both small and large farms have key roles in food and nutrition security. Efforts to maintain production diversity as farm sizes increase seem to be necessary to maintain the production of diverse nutrients and viable, multifunctional, sustainable landscapes. FUNDING: Commonwealth Scientific and Industrial Research Organisation, Bill & Melinda Gates Foundation, CGIAR Research Programs on Climate Change, Agriculture and Food Security and on Agriculture for Nutrition and Health funded by the CGIAR Fund Council, Daniel and Nina Carasso Foundation, European Union, International Fund for Agricultural Development, Australian Research Council, National Science Foundation, Gordon and Betty Moore Foundation, and Joint Programming Initiative on Agriculture, Food Security and Climate Change-Belmont Forum.  
  Address International Institute for Applied Systems Analysis, Laxenburg, Austria  
  Corporate Author Thesis  
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  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2542-5196 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:28670647 Approved no  
  Call Number ref @ user @ Serial 98017  
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