Skip to main content

Articles

Page 4 of 12

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. Knowledge regarding the geographical distribution of diseases is essential in public health in order to define strategies to improve the health of populations and quality of life.

    Authors: Rita Roquette, Baltazar Nunes and Marco Painho
    Citation: Population Health Metrics 2018 16:6
  14. To propose health system strategies to meeting the World Health Organization (WHO) recommendations on HIV screening through antenatal care (ANC) services, we assessed predictors of HIV screening, and simulated...

    Authors: Charbel El Bcheraoui, Paola Zúñiga-Brenes, Diego Ríos-Zertuche, Erin B. Palmisano, Claire R. McNellan, Sima S. Desai, Marielle C. Gagnier, Annie Haakenstad, Casey Johanns, Alexandra Schaefer, Bernardo Hernandez, Emma Iriarte and Ali H. Mokdad
    Citation: Population Health Metrics 2018 16:5
  15. Sepsis has represented a substantial health care and economic burden worldwide during the previous several decades. Our aim was to analyze the epidemiological trends of hospital admissions, deaths, hospital re...

    Authors: Alejandro Álvaro-Meca, María A. Jiménez-Sousa, Dariela Micheloud, Ainhoa Sánchez-Lopez, María Heredia-Rodríguez, Eduardo Tamayo and Salvador Resino
    Citation: Population Health Metrics 2018 16:4
  16. There is increasing interest in using verbal autopsy to produce nationally representative population-level estimates of causes of death. However, the burden of processing a large quantity of surveys collected ...

    Authors: Abraham D. Flaxman, Andrea Stewart, Jonathan C. Joseph, Nurul Alam, Sayed Saidul Alam, Hafizur Chowdhury, Meghan D. Mooney, Rasika Rampatige, Hazel Remolador, Diozele Sanvictores, Peter T. Serina, Peter Kim Streatfield, Veronica Tallo, Christopher J. L. Murray, Bernardo Hernandez, Alan D. Lopez…
    Citation: Population Health Metrics 2018 16:3
  17. Excessive alcohol consumption and alcohol-impaired driving remain significant public health problems, leading to considerable morbidity and mortality, particularly among younger populations.

    Authors: Jacob E. Sunshine, Laura Dwyer-Lindgren, Alan Chen, Sam R. Sharar, Erin B. Palmisano, Eileen M. Bulger and Ali H. Mokdad
    Citation: Population Health Metrics 2018 16:2
  18. The list experiment is a promising measurement tool for eliciting truthful responses to stigmatized or sensitive health behaviors. However, investigators may be hesitant to adopt the method due to previously u...

    Authors: Heidi Moseson, Caitlin Gerdts, Christine Dehlendorf, Robert A. Hiatt and Eric Vittinghoff
    Citation: Population Health Metrics 2017 15:40
  19. Reliable data on cause of death (COD) are fundamental for planning and resource allocation priorities. We used GBD 2015 estimates to examine levels and trends for the leading causes of death in Brazil from 199...

    Authors: Elisabeth B. França, Valéria Maria de Azeredo Passos, Deborah Carvalho Malta, Bruce B. Duncan, Antonio Luiz P. Ribeiro, Mark D. C. Guimarães, Daisy M.X. Abreu, Ana Maria N. Vasconcelos, Mariângela Carneiro, Renato Teixeira, Paulo Camargos, Ana Paula S. Melo, Bernardo L. Queiroz, Maria Inês Schmidt, Lenice Ishitani, Roberto Marini Ladeira…
    Citation: Population Health Metrics 2017 15:39
  20. Individual-level studies support a positive relation between walkable built environments and participation in moderate-intensity walking. However, the utility of this evidence for population-level planning is ...

    Authors: Darren J. Mayne, Geoffrey G. Morgan, Bin B. Jalaludin and Adrian E. Bauman
    Citation: Population Health Metrics 2017 15:38
  21. Valid and comparable cause of death (COD) statistics are crucial for health policy analyses. Variations in COD assignment across geographical areas are well-documented while socio-institutional factors may aff...

    Authors: Jiaying Zhao, Edward Jow-Ching Tu and Chi-kin Law
    Citation: Population Health Metrics 2017 15:37
  22. The vital registration system in Myanmar has a long history and geographical coverage is currently high. However, a recent assessment of vital registration systems of 148 countries showed poor performance of t...

    Authors: Myitzu Tin Oung, Kerry Richter, Pramote Prasartkul and Viroj Tangcharoensathien
    Citation: Population Health Metrics 2017 15:34
  23. During the previous century the average lifespan in the United States (US) increased by over 30 years, with much of this increase attributed to public health initiatives. This report examines further gains tha...

    Authors: Scott R. Kegler, Grant T. Baldwin, Rose A. Rudd and Michael F. Ballesteros
    Citation: Population Health Metrics 2017 15:32
  24. Ethiopia lacks a complete vital registration system that would assist in measuring disease burden and risk factors. We used the Global Burden of Diseases, Injuries, and Risk Factors Study 2015 (GBD 2015) estim...

    Authors: Awoke Misganaw, Tilahun N. Haregu, Kebede Deribe, Gizachew Assefa Tessema, Amare Deribew, Yohannes Adama Melaku, Azmeraw T. Amare, Semaw Ferede Abera, Molla Gedefaw, Muluken Dessalegn, Yihunie Lakew, Tolesa Bekele, Mesoud Mohammed, Biruck Desalegn Yirsaw, Solomon Abrha Damtew, Kristopher J. Krohn…
    Citation: Population Health Metrics 2017 15:29
  25. Disability-adjusted life years (DALYs) provide a summary measure of health and can be a critical input to guide health systems, investments, and priority-setting in Ethiopia. We aimed to determine the leading ...

    Authors: Awoke Misganaw, Yohannes Adama Melaku, Gizachew Assefa Tessema, Amare Deribew, Kebede Deribe, Semaw Ferede Abera, Muluken Dessalegn, Yihunie Lakew, Tolesa Bekele, Tilahun N. Haregu, Azmeraw T. Amare, Molla Gedefaw, Mesoud Mohammed, Biruck Desalegn Yirsaw, Solomon Abrha Damtew, Tom Achoki…
    Citation: Population Health Metrics 2017 15:28
  26. Reliable data on causes of death form the basis for building evidence on health policy, planning, monitoring, and evaluation. In Ethiopia, the majority of deaths occur at home and civil registration systems ar...

    Authors: Yigzaw Kebede, Gashaw Andargie, Abebaw Gebeyehu, Tadesse Awoke, Mezgebu Yitayal, Solomon Mekonnen, Mamo Wubshet, Temesgen Azmeraw, Yihunie Lakew and Kassahun Alemu
    Citation: Population Health Metrics 2017 15:27
  27. Reliable estimates of mortality according to socioeconomic status play a crucial role in informing the policy debate about social inequality, social cohesion, and exclusion as well as about the reform of pensi...

    Authors: Mathias Lerch, Adrian Spoerri, Domantas Jasilionis and Francisco Viciana Fernandèz
    Citation: Population Health Metrics 2017 15:26

    The Erratum to this article has been published in Population Health Metrics 2017 15:31

  28. The health status of Indigenous populations of Australia and New Zealand (NZ) Māori manifests as life expectancies substantially lower than the total population. Accurate assessment of time trends in mortality...

    Authors: Bronwen Phillips, John Daniels, Alistair Woodward, Tony Blakely, Richard Taylor and Stephen Morrell
    Citation: Population Health Metrics 2017 15:25
  29. Cause-specific (CS) and net survival in a relative survival framework (RS) are two of the most common methods for estimating cancer survival. In this paper, we assess the differences in results produced by two...

    Authors: Diana R. Withrow, Jason D. Pole, E. Diane Nishri, Michael Tjepkema and Loraine D. Marrett
    Citation: Population Health Metrics 2017 15:24
  30. We aimed to study the time trends underlying a change from cardiovascular disease (CVD) to cancer as the most common cause of age-standardized mortality in the UK between 1983 and 2013.

    Authors: Lauren Wilson, Prachi Bhatnagar and Nick Townsend
    Citation: Population Health Metrics 2017 15:23
  31. The health problems of adults have been neglected in many developing countries, yet many studies in these countries show high rates of premature mortality in adults. Measuring adult mortality and its cause thr...

    Authors: Wondimye Ashenafi, Frehywot Eshetu, Nega Assefa, Lemessa Oljira, Melkamu Dedefo, Desalew Zelalem, Negga Baraki and Melake Demena
    Citation: Population Health Metrics 2017 15:22
  32. The rural family physician program and social protection scheme were started in Iran about 10 years ago, and no comprehensive study has been carried out to investigate the effects of this program on mortality-...

    Authors: Shohreh Naderimagham, Hamidreza Jamshidi, Alireza Khajavi, Farhad Pishgar, Ali Ardam, Bagher Larijani, Zohreh Mahmoudi, Alireza Jeddian, Hamid Reza Bahrami-Taghanaki and Farshad Farzadfar
    Citation: Population Health Metrics 2017 15:21
  33. Multiple cause-of-death (MCOD) data allow analyzing the contribution to mortality of conditions reported on the death certificate that are not selected as the underlying cause of death. Using MCOD data, this s...

    Authors: Enrico Grande, Antonella Zucchetto, Barbara Suligoi, Francesco Grippo, Marilena Pappagallo, Saverio Virdone, Laura Camoni, Martina Taborelli, Vincenza Regine, Diego Serraino and Luisa Frova
    Citation: Population Health Metrics 2017 15:19
  34. In the “fourth stage” of epidemiological transition, the distribution of non-communicable diseases is expected to shift to more advanced ages, but age-specific changes beyond 80 years of age have not been repo...

    Authors: Nisha C. Hazra and Martin Gulliford
    Citation: Population Health Metrics 2017 15:18

    The Erratum to this article has been published in Population Health Metrics 2017 15:30

  35. To facilitate priority-setting in health policymaking, we compiled the best available information to estimate the adult mortality (>30 years) burden attributable to 13 metabolic, lifestyle, infectious, and env...

    Authors: Wei-Cheng Lo, Chu-Chang Ku, Shu-Ti Chiou, Chang-Chuan Chan, Chi‐Ling Chen, Mei-Shu Lai and Hsien-Ho Lin
    Citation: Population Health Metrics 2017 15:17
  36. Metrics based on self-reports of health status have been proposed for tracking population health and making comparisons among different populations. While these metrics have been used in the US to explore disp...

    Authors: Laura Dwyer-Lindgren, Johan P. Mackenbach, Frank J. van Lenthe and Ali H. Mokdad
    Citation: Population Health Metrics 2017 15:16
  37. Internationally, ethnic inequalities in mortality within countries are increasingly recognized as a public health concern. But few countries have data to monitor such inequalities. We aimed to provide a detail...

    Authors: George Disney, Andrea Teng, June Atkinson, Nick Wilson and Tony Blakely
    Citation: Population Health Metrics 2017 15:15
  38. Morbidity estimates between different GP registration networks show large, unexplained variations. This research explores the potential of modeling differences between networks in distinguishing new (incident)...

    Authors: Hendrike C. Boshuizen, Marinus J. J. C. Poos, Marjan van den Akker, Kees van Boven, Joke C. Korevaar, Margot W. M. de Waal, Marion C. J. Biermans and Nancy Hoeymans
    Citation: Population Health Metrics 2017 15:13
  39. The global burden of anemia is large especially in sub-Saharan Africa, where HIV is common and lifestyles are changing rapidly with urbanization. The effects of these changes are unknown. Studies of anemia usu...

    Authors: Aishatu L. Adamu, Amelia Crampin, Ndoliwe Kayuni, Alemayehu Amberbir, Olivier Koole, Amos Phiri, Moffat Nyirenda and Paul Fine
    Citation: Population Health Metrics 2017 15:12

Annual Journal Metrics

  • 2022 Citation Impact
    3.3 - 2-year Impact Factor
    3.9 - 5-year Impact Factor
    1.353 - SNIP (Source Normalized Impact per Paper)
    0.955 - SJR (SCImago Journal Rank)

    2023 Speed
    63 days submission to first editorial decision for all manuscripts (Median)
    300 days submission to accept (Median)

    2023 Usage 
    877,802 downloads
    487 Altmetric mentions