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  1. The following minimal set of valid health domains for tracking the health of both clinical and general populations has recently been proposed: 1) energy and drive functions, 2) emotional functions, 3) sensatio...

    Authors: Cornelia Oberhauser, Somnath Chatterji, Carla Sabariego and Alarcos Cieza
    Citation: Population Health Metrics 2016 14:19
  2. In sub-Saharan African cities, the epidemiological transition has shifted a greater proportion of the burden of non-communicable diseases, including mental and behavioral disorder, to the adult population. The...

    Authors: Géraldine Duthé, Clémentine Rossier, Doris Bonnet, Abdramane Bassiahi Soura and Jamaica Corker
    Citation: Population Health Metrics 2016 14:18
  3. Non-communicable diseases are the leading global causes of mortality and morbidity. Growing pressures on health services and on social care have led to increasing calls for a greater emphasis to be placed on p...

    Authors: Adam D. M. Briggs, Jane Wolstenholme, Tony Blakely and Peter Scarborough
    Citation: Population Health Metrics 2016 14:17
  4. Thailand uses cause of death records in civil registration to summarize maternal mortality statistics. A report by the Department of Health using the Reproductive Age Mortality Studies (RAMOS) reported that th...

    Authors: Worawan Chandoevwit, Phasith Phatchana, Kanjana Sirigomon, Kunakorn Ieawsuwan, Jutatip Thungthong and Saray Ruangdej
    Citation: Population Health Metrics 2016 14:16
  5. To analyze the trend of low birth weight (LBW) and its determinants in Brazilian state capitals between 1996 and 2011. We intended to determine which variables are associated with LBW during the period studied.

    Authors: Viviane Costa de Souza Buriol, Vânia Hirakata, Marcelo Zubaran Goldani and Clécio Homrich da Silva
    Citation: Population Health Metrics 2016 14:15
  6. Mortality data are affected by miscertification of the medical cause of death deaths and changes to cause of death classification systems. We present both mappings of ICD9 and ICD10 to a unified list of causes...

    Authors: Kyle J. Foreman, Mohsen Naghavi and Majid Ezzati
    Citation: Population Health Metrics 2016 14:14
  7. The number of centenarians is rapidly increasing in Europe. In Portugal, it has almost tripled over the last 10 years and constitutes one of the fastest-growing segments of the population. This paper aims to d...

    Authors: Oscar Ribeiro, Laetitia Teixeira, Lia Araújo and Constança Paúl
    Citation: Population Health Metrics 2016 14:13
  8. Literature is limited on the effects of high prevalence HIV on fertility in the absence of treatment, and the effects of the introduction of sustained access to antiretroviral therapy (ART) on fertility. We su...

    Authors: Brian Houle, Athena Pantazis, Chodziwadziwa Kabudula, Stephen Tollman and Samuel J. Clark
    Citation: Population Health Metrics 2016 14:10
  9. Reliable and comparable data on causes of death are crucial for public health analysis, but the usefulness of these data can be markedly diminished when the approach to coding is not standardized across territ...

    Authors: Inna Danilova, Vladimir M. Shkolnikov, Dmitri A. Jdanov, France Meslé and Jacques Vallin
    Citation: Population Health Metrics 2016 14:8
  10. The population of the Pacific Melanesian country of Vanuatu was 234,000 at the 2009 census. Apart from subsistence activities, economic activity includes tourism and agriculture. Current completeness of vital ...

    Authors: Karen Carter, Viran Tovu, Jeffrey Tila Langati, Michael Buttsworth, Lester Dingley, Andy Calo, Griffith Harrison, Chalapati Rao, Alan D. Lopez and Richard Taylor
    Citation: Population Health Metrics 2016 14:7
  11. Understanding trends in the distribution of body mass index (BMI) is a critical aspect of monitoring the global overweight and obesity epidemic. Conventional population health metrics often only focus on estim...

    Authors: Marie Ng, Patrick Liu, Blake Thomson and Christopher J. L. Murray
    Citation: Population Health Metrics 2016 14:6
  12. Multiple case definitions are in use to identify chronic fatigue syndrome (CFS). Even when using the same definition, methods used to apply definitional criteria may affect results. The Centers for Disease Con...

    Authors: E. R. Unger, J.-M. S. Lin, H. Tian, B. M. Gurbaxani, R. S. Boneva and J. F. Jones
    Citation: Population Health Metrics 2016 14:5
  13. Male circumcision (MC) status and genital infection risk are interlinked and MC is now part of HIV prevention programs worldwide. Current MC prevalence is not known for all countries globally. Our aim was to p...

    Authors: Brian J Morris, Richard G Wamai, Esther B Henebeng, Aaron AR Tobian, Jeffrey D Klausner, Joya Banerjee and Catherine A Hankins
    Citation: Population Health Metrics 2016 14:4

    The Erratum to this article has been published in Population Health Metrics 2016 14:11

  14. Kiribati is an atoll country of 103,058 (2010 Census) situated in the central Pacific. Previous mortality estimates have been derived from demographic analyses of census data. This is the first mortality analy...

    Authors: Karen L. Carter, Tibwataake Baiteke, Tiensi Teea, Teanibuaka Tabunga, Mantarae Itienang, Chalapati Rao, Alan D. Lopez and Richard Taylor
    Citation: Population Health Metrics 2016 14:3
  15. The aims of this study were to estimate the existence of clusters of AROs in the municipalities of the Marches Region (Central Italy) after complaints from residents living near an abandoned landfill site.

    Authors: Pamela Barbadoro, Massimo Agostini, Marcello M. D’Errico, Francesco Di Stanislao, Fabio Filippetti, Sara Giuliani and Emilia Prospero
    Citation: Population Health Metrics 2015 13:36
  16. The purpose of this study is to validate the Pulvers silhouette showcard as a measure of weight status in a population in the African region. This tool is particularly beneficial when scarce resources do not a...

    Authors: Maryam Yepes, Barathi Viswanathan, Pascal Bovet and Jürgen Maurer
    Citation: Population Health Metrics 2015 13:35
  17. Complete and accurate data on maternal smoking prevalence during pregnancy are not available at a local geographical scale in England. We employ a synthetic estimation approach to predict the expected prevalen...

    Authors: Lisa Szatkowski, Samantha J. Fahy, Tim Coleman, Joanna Taylor, Liz Twigg, Graham Moon and Jo Leonardi-Bee
    Citation: Population Health Metrics 2015 13:34
  18. Diabetes is an important contributor to global morbidity and mortality. The contributions of population aging and macroeconomic changes to the growth in diabetes prevalence over the past 20 years are unclear.

    Authors: Nikkil Sudharsanan, Mohammed K. Ali, Neil K. Mehta and K M Venkat Narayan
    Citation: Population Health Metrics 2015 13:33
  19. The use of census data to measure maternal mortality is a recent phenomenon, implemented in settings with non-functional vital registration systems and driven by needs for trend data. The 2010 round of populat...

    Authors: Richard Banda, Knut Fylkesnes and Ingvild Fossgard Sandøy
    Citation: Population Health Metrics 2015 13:32
  20. Many major causes of disability in the Global Burden of Disease (GBD) study present with a range of severity, and for most causes finding population distributions of severity can be difficult due to issues of ...

    Authors: Roy Burstein, Tom Fleming, Juanita Haagsma, Joshua A. Salomon, Theo Vos and Christopher JL. Murray
    Citation: Population Health Metrics 2015 13:31
  21. Smoking is a strong risk factor for mortality in both the developed and the developing world. However, there is still limited research to examine the impact of smoking cessation and mortality in middle-income ...

    Authors: Jiaying Zhao, Cha-aim Pachanee, Vasoontara Yiengprugsawan, Sam-ang Seubsman and Adrian Sleigh
    Citation: Population Health Metrics 2015 13:30
  22. Mortality for children with congenital heart disease (CHD) has declined with improved surgical techniques and neonatal screening; however, as these patients live longer, accurate estimates of the prevalence of...

    Authors: Catherine P. Benziger, Karen Stout, Elisa Zaragoza-Macias, Amelia Bertozzi-Villa and Abraham D. Flaxman
    Citation: Population Health Metrics 2015 13:29
  23. Verbal autopsy is gaining increasing acceptance as a method for determining the underlying cause of death when the cause of death given on death certificates is unavailable or unreliable, and there are now a n...

    Authors: Abraham D. Flaxman, Peter T. Serina, Bernardo Hernandez, Christopher J. L. Murray, Ian Riley and Alan D. Lopez
    Citation: Population Health Metrics 2015 13:28
  24. Modifiable risks account for a large fraction of disease and death, but clinicians and patients lack tools to identify high risk populations or compare the possible benefit of different interventions.

    Authors: Stephen S. Lim, Emily Carnahan, Eugene C. Nelson, Catherine W. Gillespie, Ali H. Mokdad, Christopher J. L. Murray and Elliott S. Fisher
    Citation: Population Health Metrics 2015 13:27
  25. The POpulation HEalth Model (POHEM) is a health microsimulation model that was developed at Statistics Canada in the early 1990s. POHEM draws together rich multivariate data from a wide range of sources to sim...

    Authors: Deirdre A. Hennessy, William M. Flanagan, Peter Tanuseputro, Carol Bennett, Meltem Tuna, Jacek Kopec, Michael C. Wolfson and Douglas G. Manuel
    Citation: Population Health Metrics 2015 13:24
  26. We present a method for reclassifying external causes of death categorized as “event of undetermined intent” (EUIs) into non-transport accidents, suicides, or homicides. In nations like Russia and the UK the a...

    Authors: Evgeny Andreev, Vladimir M. Shkolnikov, William Alex Pridemore and Svetlana Yu. Nikitina
    Citation: Population Health Metrics 2015 13:23
  27. Sound public health policy on HIV/AIDS depends on accurate prevalence and incidence statistics for the epidemic at both local and national levels. However, HIV statistics derived from epidemiological extrapola...

    Authors: Samuel Manda, Lieketseng Masenyetse, Bo Cai and Renate Meyer
    Citation: Population Health Metrics 2015 13:22
  28. Identifying a single disease as the underlying cause of death (UCOD) is an oversimplification of the clinical-pathological process leading to death. The multiple causes of death (MCOD) approach examines any me...

    Authors: Ugo Fedeli, Giacomo Zoppini, Carlo Alberto Goldoni, Francesco Avossa, Giuseppe Mastrangelo and Mario Saugo
    Citation: Population Health Metrics 2015 13:21
  29. South Africa has continued to receive increasing attention due to unprecedented high levels of violence. Homicide-related violence accounts for a significant proportion of unnatural deaths and contributes sign...

    Authors: George Otieno, Edmore Marinda, Till Bärnighausen and Frank Tanser
    Citation: Population Health Metrics 2015 13:20
  30. Demographic and socioeconomic changes such as increasing urbanization, migration, and female education shape population health in many low- and middle-income countries. These changes are rarely reflected in co...

    Authors: Sanjay Basu and Jeremy D. Goldhaber-Fiebert
    Citation: Population Health Metrics 2015 13:19
  31. The aim of this study is to analyze longitudinally, based on four measurements at intervals of eight years, the annual effect of age group and birth cohort on regular exercise in the Swedish population from 19...

    Authors: Matti Leijon, Patrik Midlöv, Jan Sundquist, Kristina Sundquist and Sven-Erik Johansson
    Citation: Population Health Metrics 2015 13:18
  32. Radical regulations to improve air quality, including traffic control, were implemented prior to and during the 2008 Beijing Olympic Games. Consequently, ambient concentrations of nitrogen dioxide (NO2) and parti...

    Authors: Cheng Huang, Catherine Nichols, Yang Liu, Yunping Zhang, Xiaohong Liu, Suhong Gao, Zhiwen Li and Aiguo Ren
    Citation: Population Health Metrics 2015 13:17
  33. National mortality data are obtained routinely by the Disease Surveillance Points system (DSPs) in China and under-reporting is a big challenge in mortality surveillance.

    Authors: Kang Guo, Peng Yin, Lijun Wang, Yibing Ji, Qingfeng Li, David Bishai, Shiwei Liu, Yunning Liu, Thomas Astell-Burt, Xiaoqi Feng, Jinling You, Jiangmei Liu and Maigeng Zhou
    Citation: Population Health Metrics 2015 13:16
  34. We aimed to estimate the maximum intervention cost (EMIC) a society could invest in a life-saving intervention at different ages while remaining cost-effective according to a user-specified cost-effectiveness ...

    Authors: Giorgi Kvizhinadze, Nick Wilson, Nisha Nair, Melissa McLeod and Tony Blakely
    Citation: Population Health Metrics 2015 13:15
  35. Comparing health-related quality of life (HRQL) outcomes between studies is difficult due to the wide variety of instruments used. Comparing study outcomes and facilitating pooled data analyses requires valid ...

    Authors: Belinda J Gabbe, Emma McDermott, Pam M Simpson, Sarah Derrett, Shanthi Ameratunga, Suzanne Polinder, Ronan A Lyons, Frederick P Rivara and James E Harrison
    Citation: Population Health Metrics 2015 13:14
  36. There is increasing interest in monitoring the health-related quality of life (HRQoL) of populations as opposed to clinical populations. The EQ-5D identifies five domains as being most able to capture the HRQo...

    Authors: Jennifer Jelsma and Soraya Maart
    Citation: Population Health Metrics 2015 13:13
  37. Population health scientists increasingly study how contextual-level attributes affect individual health. A major challenge in this domain relates to measurement, i.e., how best to measure and create variables...

    Authors: Erin C Dunn, Katherine E Masyn, William R Johnston and SV Subramanian
    Citation: Population Health Metrics 2015 13:12
  38. Annually since 2010, the University of Wisconsin Population Health Institute and the Robert Wood Johnson Foundation have produced the County Health Rankings—a “population health checkup” for the nation’s over 3,0...

    Authors: Patrick L Remington, Bridget B Catlin and Keith P Gennuso
    Citation: Population Health Metrics 2015 13:11
  39. In calculations of burden of disease using disability-adjusted life years, disability weights are needed to quantify health losses relating to non-fatal outcomes, expressed as years lived with disability. In 2...

    Authors: Juanita A Haagsma, Charline Maertens de Noordhout, Suzanne Polinder, Theo Vos, Arie H Havelaar, Alessandro Cassini, Brecht Devleesschauwer, Mirjam E Kretzschmar, Niko Speybroeck and Joshua A Salomon
    Citation: Population Health Metrics 2015 13:10
  40. We assessed the effects of a three-year national-level, ministry-led health information system (HIS) data quality intervention and identified associated health facility factors.

    Authors: Bradley H Wagenaar, Sarah Gimbel, Roxanne Hoek, James Pfeiffer, Cathy Michel, João Luis Manuel, Fatima Cuembelo, Titos Quembo, Pires Afonso, Victoria Porthé, Stephen Gloyd and Kenneth Sherr
    Citation: Population Health Metrics 2015 13:9
  41. This research explores the healthy soldier effect (HSE) – a lower mortality risk among veterans relative to the general population—in United States (US) veterans deployed in support of operations in Iraq and A...

    Authors: Mary J Bollinger, Susanne Schmidt, Jacqueline A Pugh, Helen M Parsons, Laurel A Copeland and Mary Jo Pugh
    Citation: Population Health Metrics 2015 13:8
  42. Metabolic syndrome (MetS) is the co-occurrence of several conditions that increase risk of chronic disease and mortality. Multivariate models for calculating risk of MetS-related diseases based on combinations...

    Authors: Evan Coffman and Jennifer Richmond-Bryant
    Citation: Population Health Metrics 2015 13:7
  43. We examine the association between family structure and children’s health care utilization, barriers to health care access, health, and schooling and cognitive outcomes and assess whether socioeconomic status ...

    Authors: Patrick M Krueger, Douglas P Jutte, Luisa Franzini, Irma Elo and Mark D Hayward
    Citation: Population Health Metrics 2015 13:6

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