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  1. Registered causes in vital statistics classified as garbage codes (GC) are considered indicators of quality of cause-of-death data. Our aim was to describe temporal changes in this quality in Brazil, and the l...

    Authors: Elisabeth França, Lenice Harumi Ishitani, Renato Teixeira, Bruce B. Duncan, Fatima Marinho and Mohsen Naghavi
    Citation: Population Health Metrics 2020 18(Suppl 1):20

    This article is part of a Supplement: Volume 18 Supplement 1

  2. The prevalence and burden of disease resulting from obesity have increased worldwide. In Brazil, more than half of the population is now overweight. However, the impact of this growing risk factor on disease b...

    Authors: Mariana Santos Felisbino-Mendes, Ewerton Cousin, Deborah Carvalho Malta, Ísis Eloah Machado, Antonio Luiz Pinho Ribeiro, Bruce Bartholow Duncan, Maria Inês Schmidt, Diego Augusto Santos Silva, Scott Glenn, Ashkan Afshin and Gustavo Velasquez-Melendez
    Citation: Population Health Metrics 2020 18(Suppl 1):18

    This article is part of a Supplement: Volume 18 Supplement 1

  3. The aim of this study was to estimate the mortality from all causes as a result of physical inactivity in Brazil and in Brazilian states over 28 years (1990–2017).

    Authors: Diego Augusto Santos Silva, Mark Stephen Tremblay, Fatima Marinho, Antonio Luiz Pinho Ribeiro, Ewerton Cousin, Bruno Ramos Nascimento, Paulo da Fonseca Valença Neto, Mohsen Naghavi and Deborah Carvalho Malta
    Citation: Population Health Metrics 2020 18(Suppl 1):13

    This article is part of a Supplement: Volume 18 Supplement 1

  4. The prevalence and burden of musculoskeletal (MSK) conditions are growing around the world, and low back pain (LBP) is the most significant of the five defined MSK disorders in the Global Burden of Disease (GB...

    Authors: Caroline Nespolo de David, Lucas de Melo Castro Deligne, Rodolfo Souza da Silva, Deborah Carvalho Malta, Bruce B. Duncan, Valéria Maria de Azeredo Passos and Ewerton Cousin
    Citation: Population Health Metrics 2020 18(Suppl 1):12

    This article is part of a Supplement: Volume 18 Supplement 1

  5. Breast cancer is the most frequently diagnosed cancer in women and the leading cause of cancer death among females worldwide. In recent decades, breast cancer death rates have been stable or decreasing in more...

    Authors: Maximiliano Ribeiro Guerra, Mário Círio Nogueira, Deborah Carvalho Malta, Camila Soares Lima Côrrea, Maria de Fatima Marinho de Souza, Maria Paula Curado, Mariana Santos Felisbino-Mendes, Meghan Mooney, Mohsen Naghavi and Maria Teresa Bustamante-Teixeira
    Citation: Population Health Metrics 2020 18(Suppl 1):8

    This article is part of a Supplement: Volume 18 Supplement 1

  6. Measuring the Global Burden of Disease (GBD) has been the key to verifying the evolution of health indicators worldwide. We analyse subnational GBD data for Brazil in order to monitor the performance of the Br...

    Authors: Daiane Borges Machado, Júlia Moreira Pescarini, Dandara Ramos, Renato Teixeira, Rafael Lozano, Vinicius Oliveira de Moura Pereira, Cimar Azeredo, Rômulo Paes-Sousa, Deborah Carvalho Malta and Mauricio L. Barreto
    Citation: Population Health Metrics 2020 18(Suppl 1):7

    This article is part of a Supplement: Volume 18 Supplement 1

  7. This study presents the malaria burden in Brazil from 1990 to 2017 using data from the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017), by analyzing disease burden indicators in fed...

    Authors: Juliana Maria Trindade Bezerra, David Soeiro Barbosa, Francisco Rogerlândio Martins-Melo, Guilherme Loureiro Werneck, Érika Martins Braga, Pedro Luiz Tauil and Mariângela Carneiro
    Citation: Population Health Metrics 2020 18(Suppl 1):5

    This article is part of a Supplement: Volume 18 Supplement 1

  8. In this study, infant mortality rate (IMR) inequalities are analyzed from 1990 to 2015 in different geographic scales.

    Authors: Célia Landmann Szwarcwald, Wanessa da Silva de Almeida, Renato Azeredo Teixeira, Elisabeth Barboza França, Marina Jorge de Miranda and Deborah Carvalho Malta
    Citation: Population Health Metrics 2020 18(Suppl 1):4

    This article is part of a Supplement: Volume 18 Supplement 1

  9. In Brazil, both the Civil Registry (CR) and Ministry of Health (MoH) Mortality Information System (SIM) are sources of routine mortality data, but neither is 100% complete. Deaths from these two sources can be...

    Authors: Luiz Fernando Lima Costa, Marli de Mesquita Silva Montenegro, Dacio de Lyra Rabello Neto, Antonio Tadeu Ribeiro de Oliveira, Jose Eduardo de Oliveira Trindade, Tim Adair and Maria de Fatima Marinho
    Citation: Population Health Metrics 2020 18:22
  10. Healthy life years have superseded life expectancy (LE) as the most important indicator for population health. The most common approach to separate the total number of life years into those spent in good and p...

    Authors: Markus Sauerberg, Michel Guillot and Marc Luy
    Citation: Population Health Metrics 2020 18:21

    The Correction to this article has been published in Population Health Metrics 2021 19:20

  11. This study aimed to compare three small-area level mortality metrics according to urbanity in Korea: the standardized mortality ratio (SMR), comparative mortality figure (CMF), and life expectancy (LE) by urba...

    Authors: Ikhan Kim, Hwa-Kyung Lim, Hee-Yeon Kang and Young-Ho Khang
    Citation: Population Health Metrics 2020 18:3
  12. There are likely to be differences in alcohol consumption levels and patterns across local areas within a country, yet survey data is often collected at the national or sub-national/regional level and is not r...

    Authors: Robert Pryce, Colin Angus, John Holmes, Duncan Gillespie, Penny Buykx, Petra Meier, Matt Hickman, Frank de Vocht and Alan Brennan
    Citation: Population Health Metrics 2020 18:1
  13. The aim of this study was to estimate the impact of reducing the prevalence of obesity, smoking, and physical inactivity, and introducing physical activity as an explicit intervention, on the burden of type 2 ...

    Authors: Susanne F. Awad, Martin O’Flaherty, Katie G. El-Nahas, Abdulla O. Al-Hamaq, Julia A. Critchley and Laith J. Abu-Raddad
    Citation: Population Health Metrics 2019 17:20
  14. Control of the Aedes aegypti mosquito is central to reducing the risk of dengue, zika, chikungunya, and yellow fever. Randomised controlled trials, including the Camino Verde trial in Mexico and Nicaragua, demons...

    Authors: Víctor Alvarado-Castro, Sergio Paredes-Solís, Elizabeth Nava-Aguilera, Arcadio Morales-Pérez, Miguel Flores-Moreno, José Legorreta-Soberanis, Esmeralda Jaimes-Néstor, Anne Cockcroft and Neil Andersson
    Citation: Population Health Metrics 2019 17:18
  15. To explore the prevalence and determinants of unawareness of diabetes, hypertension and hypercholesterolemia and its association with poor disease control in a multi-ethnic Asian population without cardiovascu...

    Authors: Ryan E. K. Man, Alvin Hong Wei Gan, Eva K. Fenwick, Alfred Tau Liang Gan, Preeti Gupta, Charumathi Sabanayagam, Nicholas Tan, Kah Hie Wong, Tien Yin Wong, Ching-Yu Cheng and Ecosse L. Lamoureux
    Citation: Population Health Metrics 2019 17:17
  16. Although identifying vulnerable groups is an important step in shaping appropriate and efficient policies for targeting populations of disabled people, it remains a challenge. This study aims to evaluate for t...

    Authors: Arlette Simo Fotso, Géraldine Duthé and Clifford Odimegwu
    Citation: Population Health Metrics 2019 17:16
  17. Low birth weight (LBW) newborns present different health outcomes when classified in different birth weight strata. This study evaluated the relationship of birth weight with Infant mortality (IM) through the ...

    Authors: Cássia Simeão Vilanova, Vânia Naomi Hirakata, Viviane Costa de Souza Buriol, Marina Nunes, Marcelo Zubaran Goldani and Clécio Homrich da Silva
    Citation: Population Health Metrics 2019 17:15
  18. Many studies on migrant health have focused on aspects of morbidity and mortality, but very few approach the relevant issues of migrants’ health considering behavioral risk factors. Previous studies have often...

    Authors: Stefano Campostrini, Giuliano Carrozzi, Santino Severoni, Maria Masocco and Stefania Salmaso
    Citation: Population Health Metrics 2019 17:14
  19. Palm oil’s high yields, consequent low cost and highly versatile properties as a cooking oil and food ingredient have resulted in its thorough infiltration of the food sector in some countries. Longitudinal st...

    Authors: Marcus R. Keogh-Brown, Henning Tarp Jensen, Sanjay Basu, Wichai Aekplakorn, Soledad Cuevas, Alan D. Dangour, Shabbir H. Gheewala, Rosemary Green, Edward JM Joy, Nipa Rojroongwasinkul, Nalitra Thaiprasert, Bhavani Shankar and Richard D. Smith
    Citation: Population Health Metrics 2019 17:12
  20. The ability to measure regional health inequalities across Europe and to build adequate population health indices depends significantly on the availability of reliable and comparable data at the regional level...

    Authors: Claudia Costa, Ângela Freitas, Iwa Stefanik, Thomas Krafft, Eva Pilot, Joana Morrison and Paula Santana
    Citation: Population Health Metrics 2019 17:11
  21. Doubts exist around the value of compiling league tables for cost-effectiveness results for health interventions, primarily due to methods differences. We aimed to determine if a reasonably coherent league tab...

    Authors: Nick Wilson, Anna Davies, Naomi Brewer, Nhung Nghiem, Linda Cobiac and Tony Blakely
    Citation: Population Health Metrics 2019 17:10
  22. Premature mortality is a meaningful indicator of both population health and health system performance, which varies by geography in Ontario. We used the Local Health Integration Network (LHIN) sub-regions to c...

    Authors: Emmalin Buajitti, Tristan Watson, Todd Norwood, Kathy Kornas, Catherine Bornbaum, David Henry and Laura C. Rosella
    Citation: Population Health Metrics 2019 17:9
  23. Trends in cause-specific mortality in most African countries are currently estimated from epidemiological models because the coverage of the civil registration system is low and national statistics on causes o...

    Authors: Bruno Masquelier, Gilles Pison, Julio Rakotonirina and Anjarasoa Rasoanomenjanahary
    Citation: Population Health Metrics 2019 17:8
  24. Individual sociodemographic and home neighborhood built environment (BE) factors influence the probability of engaging in health-enhancing levels of walking or moderate-to-vigorous physical activity (MVPA). Me...

    Authors: Anne Vernez Moudon, Ruizhu Huang, Orion T. Stewart, Hannah Cohen-Cline, Carolyn Noonan, Philip M. Hurvitz and Glen E. Duncan
    Citation: Population Health Metrics 2019 17:7
  25. Some mortality statistics are misleading when comparing between countries due to varying age distributions in their populations. In order to adjust for these differences, age-standardised mortality rates (ASMR...

    Authors: Shiva Tadayon, Kremlin Wickramasinghe and Nick Townsend
    Citation: Population Health Metrics 2019 17:6
  26. Following the publication of this article [1], the authors reported a typesetting error in Table 1 that caused the columns of the table to be ordered incorrectly, and a typographical error in a sentence in the...

    Authors: Andrés Peralta, Joan Benach, Carme Borrell, Verónica Espinel-Flores, Lucinda Cash-Gibson, Bernardo L. Queiroz and Marc Marí-Dell’Olmo
    Citation: Population Health Metrics 2019 17:5

    The original article was published in Population Health Metrics 2019 17:3

  27. Mortality in Papua New Guinea (PNG) is poorly measured because routine reporting of deaths is incomplete and inaccurate. This study provides the first estimates in the academic literature of adult mortality (4...

    Authors: Urarang Kitur, Tim Adair and Alan D. Lopez
    Citation: Population Health Metrics 2019 17:4
  28. Mortality registries are an essential data source for public health surveillance and for planning and evaluating public policy. Nevertheless, there are still large inequalities in the completeness and quality ...

    Authors: Andrés Peralta, Joan Benach, Carme Borrell, Verónica Espinel-Flores, Lucinda Cash-Gibson, Bernardo L. Queiroz and Marc Marí-Dell’Olmo
    Citation: Population Health Metrics 2019 17:3

    The Correction to this article has been published in Population Health Metrics 2019 17:5

  29. Cause of death statistics are an important tool for quality control of the health care system. Their reliability, however, is controversial. Comparing death certificates with their corresponding medical record...

    Authors: Ueli Zellweger, Christoph Junker and Matthias Bopp
    Citation: Population Health Metrics 2019 17:2
  30. Prevention aiming at smoking, alcohol consumption, and BMI could potentially bring large gains in life expectancy (LE) and health expectancy measures such as Healthy Life Years (HLY) and Life Expectancy in Goo...

    Authors: Koen Füssenich, Wilma J. Nusselder, Stefan K. Lhachimi, Hendriek C. Boshuizen and Talitha F. Feenstra
    Citation: Population Health Metrics 2019 17:1
  31. Medical certificates of cause of death (MCCOD) issued by hospital physicians are a key input to vital registration systems. Deaths certified by hospital physicians have been implicitly considered to be of high...

    Authors: Marilla Lucero, Ian Douglas Riley, Riley H. Hazard, Diozele Sanvictores, Veronica Tallo, Dorothy Gay Marmita Dumaluan, Juanita M. Ugpo and Alan D. Lopez
    Citation: Population Health Metrics 2018 16:23
  32. The registration and certification of births has a wide array of individual and societal benefits. While near-universal in some parts of the world, birth registration is less common in many low- and middle-inc...

    Authors: David E. Phillips, Tim Adair and Alan D. Lopez
    Citation: Population Health Metrics 2018 16:21
  33. For injury deaths, the underlying cause of death is defined as the circumstances leading to the injury. When this information is missing, the ICD-10 code X59 (Exposure to unspecified factor) is used. Lack of k...

    Authors: Christian Lycke Ellingsen, Marta Ebbing, G. Cecilie Alfsen and Stein Emil Vollset
    Citation: Population Health Metrics 2018 16:20
  34. Directly standardized rates (DSRs) adjust for different age distributions in different populations and enable, say, the rates of disease between the populations to be directly compared. They are routinely publ...

    Authors: Joan K. Morris, Joachim Tan, Paul Fryers and Jonathan Bestwick
    Citation: Population Health Metrics 2018 16:19
  35. To quantify temporal trends in age-standardized rates of disease, the convention is to fit a linear regression model to log-transformed rates because the slope term provides the estimated annual percentage cha...

    Authors: Chuen Seng Tan, Nathalie Støer, Yilin Ning, Ying Chen and Marie Reilly
    Citation: Population Health Metrics 2018 16:18
  36. The burden of advanced non-small cell lung cancer (NSCLC) is not well understood, and the number of patients likely to receive treatment in Europe has not been quantified. The aim of this study was to forecast...

    Authors: David Campbell, Ken O’Day, Nadine Hertel, John R. Penrod, Melinda Manley Daumont and Michael Lees
    Citation: Population Health Metrics 2018 16:17
  37. Accurate and reliable hospital information on the pattern and causes of death is important to monitor and evaluate the effectiveness of health policies and programs. The objective of this study was to assess t...

    Authors: Irene R. Mremi, Susan F. Rumisha, Mercy G. Chiduo, Chacha D. Mangu, Denna M. Mkwashapi, Coleman Kishamawe, Emanuel P. Lyimo, Isolide S. Massawe, Lucas E. Matemba, Veneranda M. Bwana and Leonard E. G. Mboera
    Citation: Population Health Metrics 2018 16:16
  38. It is widely recognized that there are multiple risk factors for early-life mortality. In practice most interventions to curb early-life mortality target births based on a single risk factor, such as poverty. ...

    Authors: Antonio P. Ramos, Robert E. Weiss and Jody S. Heymann
    Citation: Population Health Metrics 2018 16:15
  39. The EQ-5D has been frequently used in national health surveys. This study is a head-to-head comparison to assess how expanding the number of levels from three (EQ-5D-3L) to five in the new EQ-5D-5L version has...

    Authors: Marc Martí-Pastor, Angels Pont, Mónica Ávila, Olatz Garin, Gemma Vilagut, Carlos G. Forero, Yolanda Pardo, Ricard Tresserras, Antonia Medina-Bustos, Oriol Garcia-Codina, Juan Cabasés, Luis Rajmil, Jordi Alonso and Montse Ferrer
    Citation: Population Health Metrics 2018 16:14
  40. The under-5 mortality rate (U5MR) is an important metric of child health and survival. Country-level estimates of U5MR are readily available, but efforts to estimate U5MR subnationally have been limited, in pa...

    Authors: Laura Dwyer-Lindgren, Ellen R. Squires, Stephanie Teeple, Gloria Ikilezi, D. Allen Roberts, Danny V. Colombara, Sarah Katherine Allen, Stanley M. Kamande, Nicholas Graetz, Abraham D. Flaxman, Charbel El Bcheraoui, Kristjana Asbjornsdottir, Gilbert Asiimwe, Ângelo Augusto, Orvalho Augusto, Baltazar Chilundo…
    Citation: Population Health Metrics 2018 16:13
  41. Long-term, low-level exposure to toxic elements in soil may be harmful to human health but large longitudinal cohort studies with sufficient follow-up time to study these effects are cost-prohibitive and impra...

    Authors: Jack E. Gibson, E. Louise Ander, Mark Cave, Fiona Bath-Hextall, Anwar Musah and Jo Leonardi-Bee
    Citation: Population Health Metrics 2018 16:12
  42. Many health programs can assess coverage using standardized cluster survey methods, but estimating the coverage of nutrition programs presents a special challenge due to low disease prevalence. Used since 2012...

    Authors: Sheila Isanaka, Bethany L. Hedt-Gauthier, Rebecca F. Grais and Ben G. S. Allen
    Citation: Population Health Metrics 2018 16:11
  43. Deaths in developing countries often occur outside health facilities, making it extremely difficult to gather reliable cause of death (COD) information. Automated COD assignment using a verbal autopsy instrume...

    Authors: Riley H. Hazard, Nurul Alam, Hafizur Rahman Chowdhury, Tim Adair, Saidul Alam, Peter Kim Streatfield, Ian Douglas Riley and Alan D. Lopez
    Citation: Population Health Metrics 2018 16:10
  44. In the United States, diabetes has increased rapidly, exceeding prior predictions. Projections of the future diabetes burden need to reflect changes in incidence, mortality, and demographics. We applied the mo...

    Authors: Ji Lin, Theodore J. Thompson, Yiling J. Cheng, Xiaohui Zhuo, Ping Zhang, Edward Gregg and Deborah B. Rolka
    Citation: Population Health Metrics 2018 16:9

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