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  1. Content type: Research

    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

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  2. Content type: Review

    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

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

  3. Content type: Research

    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

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  4. Content type: Research

    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

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  5. Content type: Research

    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

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  6. Content type: Research

    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

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  7. Content type: Research

    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

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  8. Content type: Research

    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

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  9. Content type: Research

    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

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  10. Content type: Research

    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

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  11. Content type: Research

    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

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  12. Content type: Research

    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

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  13. Content type: Research

    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

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  14. Content type: Review

    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

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  15. Content type: Research

    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

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  16. Content type: Research

    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

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  17. Content type: Research

    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

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  18. Content type: Research

    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

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  19. Content type: Research

    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

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  20. Content type: Research

    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

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  21. Content type: Research

    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

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  22. Content type: Research

    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

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  23. Content type: Research

    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

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  24. Content type: Research

    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

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  25. Content type: Research

    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

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  26. Content type: Research

    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

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  27. Content type: Research

    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

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  28. Content type: Research

    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

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  29. Content type: Research

    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

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  30. Content type: Research

    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

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  31. Content type: Research

    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

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  32. Content type: Research

    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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  33. Content type: Research

    Prevention efforts are informed by the numbers of deaths or cases of disease caused by specific risk factors, but these are challenging to estimate in a population. Fortunately, an increasing number of jurisdi...

    Authors: Peter Tanuseputro, Richard Perez, Laura Rosella, Kumanan Wilson, Carol Bennett, Meltem Tuna, Deirdre Hennessy, Heather Manson and Douglas Manuel

    Citation: Population Health Metrics 2015 13:5

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  34. Content type: Review

    Measurement of health-related quality of life (HRQL) is essential to quantify the subjective burden of traumatic brain injury (TBI) in survivors. We performed a systematic review of HRQL studies in TBI to eval...

    Authors: Suzanne Polinder, Juanita A Haagsma, David van Klaveren, Ewout W Steyerberg and Ed F van Beeck

    Citation: Population Health Metrics 2015 13:4

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  35. Content type: Research

    Health has improved markedly in Mesoamerica, the region consisting of southern Mexico and Central America, over the past decade. Despite this progress, there remain substantial inequalities in health outcomes,...

    Authors: Ali H Mokdad, Katherine Ellicott Colson, Paola Zúñiga-Brenes, Diego Ríos-Zertuche, Erin B Palmisano, Eyleen Alfaro-Porras, Brent W Anderson, Marco Borgo, Sima Desai, Marielle C Gagnier, Catherine W Gillespie, Sandra L Giron, Annie Haakenstad, Sonia López Romero, Julio Mateus, Abigail McKay…

    Citation: Population Health Metrics 2015 13:3

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  36. Content type: Research

    Most assessments of the burden of obesity in nutrition transition contexts rely on body mass index (BMI) only, even though abdominal adiposity might be specifically predictive of adverse health outcomes. In Tu...

    Authors: Pierre Traissac, Rebecca Pradeilles, Jalila El Ati, Hajer Aounallah-Skhiri, Sabrina Eymard-Duvernay, Agnès Gartner, Chiraz Béji, Souha Bougatef, Yves Martin-Prével, Patrick Kolsteren, Francis Delpeuch, Habiba Ben Romdhane and Bernard Maire

    Citation: Population Health Metrics 2015 13:1

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  37. Content type: Research

    Due to challenges in laboratory confirmation, reporting completeness, timeliness, and health access, routine incidence data from health management information systems (HMIS) have rarely been used for the rigor...

    Authors: Adam Bennett, Joshua Yukich, John M Miller, Penelope Vounatsou, Busiku Hamainza, Mercy M Ingwe, Hawela B Moonga, Mulakwo Kamuliwo, Joseph Keating, Thomas A Smith, Richard W Steketee and Thomas P Eisele

    Citation: Population Health Metrics 2014 12:30

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  38. Content type: Research

    With increasing diabetes prevalence worldwide, an impending diabetes “pandemic” has been reported. However, definitions of incident cases and the population at risk remain varied and ambiguous. This study anal...

    Authors: Tomas Karpati, Chandra J Cohen-Stavi, Morton Leibowitz, Moshe Hoshen, Becca S Feldman and Ran D Balicer

    Citation: Population Health Metrics 2014 12:32

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  39. Content type: Research

    Understanding how risk factors (tobacco, alcohol, physical inactivity, unhealthy diet, high blood pressure, and high cholesterol) change over time is a critical aim of public health. The associations across th...

    Authors: Anne W Taylor, Eleonora Dal Grande, Jing Wu, Zumin Shi and Stefano Campostrini

    Citation: Population Health Metrics 2014 12:31

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  40. Content type: Review

    Numerous epidemiology studies on dyslipidemia have been conducted in China. However, a nationally representative estimate for dyslipidemia prevalence is lacking. The aim of this study is to appraise the nation...

    Authors: Yuanxiu Huang, Lin Gao, Xiaoping Xie and Seng Chuen Tan

    Citation: Population Health Metrics 2014 12:28

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  41. Content type: Research

    Infant mortality rate (IMR) is regarded as an important indicator of population health. IMR rates vary substantially with the highest found in sub-Saharan Africa (SSA) compared to the lowest in Europe. Identif...

    Authors: Benn KD Sartorius and Kurt Sartorius

    Citation: Population Health Metrics 2014 12:29

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  42. Content type: Research

    The World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) provides a standardized assessment of functioning and disability in individuals with any kind of disease. So far, data on feasibili...

    Authors: Inge Kirchberger, Kathrin Braitmayer, Michaela Coenen, Cornelia Oberhauser and Christa Meisinger

    Citation: Population Health Metrics 2014 12:27

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  43. Content type: Research

    The pattern of diseases causing sudden unexpected natural deaths is a function of the prevalent disease pattern in the general population. This pattern appears to be changing in Nigeria in response to changing...

    Authors: Olumuyiwa Eyitayo Pelemo, Donatus Sabageh, Akinwumi Oluwole Komolafe, Adedayo Olukemi Sabageh and William Olufemi Odesanmi

    Citation: Population Health Metrics 2014 12:26

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  44. Content type: Research

    It is known that death registry (DR) underestimates HIV deaths. The objectives of this study were to examine under-reporting/misclassification and to estimate HIV mortality in Thailand during 1996-2009 from a ...

    Authors: Amornrat Chutinantakul, Phattrawan Tongkumchum, Kanitta Bundhamcharoen and Virasakdi Chongsuvivatwong

    Citation: Population Health Metrics 2014 12:25

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2017 Journal Metrics