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  1. 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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  2. 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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  3. 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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  4. 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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  5. 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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  6. 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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  7. 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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  8. 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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  9. 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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  10. 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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  11. 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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  12. 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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  13. 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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  14. 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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  15. 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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  16. 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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  17. 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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  18. Content type: Research

    The World Health Organization has developed proposals on how efforts to reduce non–communicable diseases (NCD) in low– and middle–income countries may be monitored over time. One of the proposed indicators is ...

    Authors: Antony Stevens, Maria Inês Schmidt and Bruce B Duncan

    Citation: Population Health Metrics 2014 12:24

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  19. Content type: Research

    Health and Demographic Surveillance Systems (HDSS) collect independent mortality data that could be used for assessing the quality of mortality data in national civil registration (CR) systems in low- and midd...

    Authors: Chodziwadziwa W Kabudula, Jan D Joubert, Maletela Tuoane-Nkhasi, Kathleen Kahn, Chalapati Rao, Francesc Xavier Gmez-Oliv, Paul Mee, Stephen Tollman, Alan D Lopez, Theo Vos and Debbie Bradshaw

    Citation: Population Health Metrics 2014 12:23

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  20. Content type: Research

    In South and Southeast Asian countries, tobacco is consumed in diverse forms, and smoking among women is very low. We aimed to provide national estimates of prevalence and social determinants of smoking and sm...

    Authors: Chandrashekhar T Sreeramareddy, Pranil Man Singh Pradhan, Imtiyaz Ali Mir and Shwe Sin

    Citation: Population Health Metrics 2014 12:22

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  21. Content type: Research

    As countries develop economically, an “epidemiological transition” occurs whereby a set of chronic diseases increasingly becomes a country’s health challenge. Against this background, this paper examines the m...

    Authors: Faleh Mohamed Hussain Ali, Zlatko Nikoloski, Husein Reka, Orsida Gjebrea and Elias Mossialos

    Citation: Population Health Metrics 2014 12:18

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  22. Content type: Review

    The disability-adjusted life year (DALY) is widely used to assess the burden of different health problems and risk factors. The disability weight, a value anchored between 0 (perfect health) and 1 (equivalent ...

    Authors: Juanita A Haagsma, Suzanne Polinder, Alessandro Cassini, Edoardo Colzani and Arie H Havelaar

    Citation: Population Health Metrics 2014 12:20

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  23. Content type: Research

    In primary care surveillance systems based on voluntary participation, biased results may arise from the lack of representativeness of the monitored population and uncertainty regarding the population denomina...

    Authors: Cécile Souty, Clément Turbelin, Thierry Blanchon, Thomas Hanslik, Yann Le Strat and Pierre-Yves Boëlle

    Citation: Population Health Metrics 2014 12:19

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  24. Content type: Research

    In this paper, space-time patterns of colorectal cancer (CRC) mortality risks are studied by sex and age group (50-69, ≥70) in Spanish provinces during the period 1975-2008. Space-time conditional autoregressi...

    Authors: Jaione Etxeberria, María Dolores Ugarte, Tomás Goicoa and Ana F Militino

    Citation: Population Health Metrics 2014 12:17

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  25. Content type: Research

    In the last 20 years, Brazil has undergone dramatic changes in terms of socioeconomic development and health care. In the first decade of the 2000s, the Ministry of Health (MoH) developed a series of programs ...

    Authors: Célia Landmann Szwarcwald, Paulo Germano de Frias, Paulo Roberto Borges deSouza Júnior, Wanessa da Silva de Almeida and Otaliba Libânio de Morais Neto

    Citation: Population Health Metrics 2014 12:16

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  26. Content type: Research

    A critical first step toward incorporating equity into cost-effectiveness analyses is to appropriately model interventions by population subgroups. In this paper we use a standardized treatment intervention to...

    Authors: Melissa McLeod, Tony Blakely, Giorgi Kvizhinadze and Ricci Harris

    Citation: Population Health Metrics 2014 12:15

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  27. Content type: Research

    Timely and reliable data on causes of death are fundamental for informed decision-making in the health sector as well as public health research. An in-depth understanding of the quality of data from vital stat...

    Authors: David E Phillips, Rafael Lozano, Mohsen Naghavi, Charles Atkinson, Diego Gonzalez-Medina, Lene Mikkelsen, Christopher JL Murray and Alan D Lopez

    Citation: Population Health Metrics 2014 12:14

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  28. Content type: Research

    The estimation of healthy life years (HLY) by socio-economic status (SES) requires two types of data: the prevalence of activity limitation by SES generally extracted from surveys and mortality rates by SES ge...

    Authors: Rana Charafeddine, Nicolas Berger, Stefaan Demarest and Herman Van Oyen

    Citation: Population Health Metrics 2014 12:13

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  29. Content type: Research

    Screening to detect prediabetes and diabetes enables early prevention and intervention. This study describes the number and characteristics of asymptomatic, undiagnosed adults in the United States who could be...

    Authors: Timothy M Dall, K M Venkat Narayan, Karin B Gillespie, Paul D Gallo, Tericke D Blanchard, Mihaela Solcan, Michael O’Grady and William W Quick

    Citation: Population Health Metrics 2014 12:12

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  30. Content type: Research

    Several studies have concluded that some deaths classified as undetermined intent are in fact suicides, and it is common in suicide research in Europe to include these deaths. Our aim was to investigate if inf...

    Authors: Charlotte Björkenstam, Lars-Age Johansson, Peter Nordström, Ingemar Thiblin, Anna Fugelstad, Johan Hallqvist and Rickard Ljung

    Citation: Population Health Metrics 2014 12:11

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  31. Content type: Research

    Heart failure is sometimes incorrectly listed as the underlying cause of death (UCD) on death certificates, thus compromising the accuracy and comparability of mortality statistics. Statistical redistribution ...

    Authors: Michelle L Snyder, Shelly-Ann Love, Paul D Sorlie, Wayne D Rosamond, Carmen Antini, Patricia A Metcalf, Shakia Hardy, Chirayath M Suchindran, Eyal Shahar and Gerardo Heiss

    Citation: Population Health Metrics 2014 12:10

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  32. Content type: Research

    As a public safety regulator, the Technical Standards and Safety Authority (TSSA) of Ontario, Canada predicts and measures the burden of injuries and fatalities as its primary means of characterizing the state...

    Authors: Arun Veeramany and Srikanth Mangalam

    Citation: Population Health Metrics 2014 12:9

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  33. Content type: Research

    Cigarette smoking is a leading risk factor for morbidity and premature mortality in the United States, yet information about smoking prevalence and trends is not routinely available below the state level, impe...

    Authors: Laura Dwyer-Lindgren, Ali H Mokdad, Tanja Srebotnjak, Abraham D Flaxman, Gillian M Hansen and Christopher JL Murray

    Citation: Population Health Metrics 2014 12:5

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  34. Content type: Research

    There is no standardized approach to comparing socioeconomic status (SES) across multiple sites in epidemiological studies. This is particularly problematic when cross-country comparisons are of interest. We s...

    Authors: Stephanie R Psaki, Jessica C Seidman, Mark Miller, Michael Gottlieb, Zulfiqar A Bhutta, Tahmeed Ahmed, AM Shamsir Ahmed, Pascal Bessong, Sushil M John, Gagandeep Kang, Margaret Kosek, Aldo Lima, Prakash Shrestha, Erling Svensen and William Checkley

    Citation: Population Health Metrics 2014 12:8

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  35. Content type: Research

    The analysis of cancer incidence trends is essential to health care planning. The aim of this study is to examine variations in cancer incidence rates in Lebanon between 2003 and 2008 and use the observed tren...

    Authors: Ali Shamseddine, Ahmad Saleh, Maya Charafeddine, Muhieddine Seoud, Deborah Mukherji, Sally Temraz and Abla Mehio Sibai

    Citation: Population Health Metrics 2014 12:4

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  36. Content type: Research

    Electronic death certification was established in France in 2007. A methodology based on intrinsic characteristics of death certificates was designed to compare the quality of electronic versus paper death cer...

    Authors: Delphine Lefeuvre, Gérard Pavillon, Albertine Aouba, Agathe Lamarche-Vadel, Anne Fouillet, Eric Jougla and Grégoire Rey

    Citation: Population Health Metrics 2014 12:3

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  37. Content type: Research

    Home and leisure injuries (HLIs) are currently a major public health concern, because of their frequency, associated consequences, and considerable medical costs. As in many other countries in Europe, in Franc...

    Authors: Christophe Bonaldi, Cécile Ricard, Javier Nicolau, Maryline Bouilly and Bertrand Thélot

    Citation: Population Health Metrics 2014 12:2

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  38. Content type: Research

    National cancer survival statistics are available for the total Australian population but not Indigenous Australians, although their cancer mortality rates are known to be higher than those of other Australian...

    Authors: John R Condon, Xiaohua Zhang, Peter Baade, Kalinda Griffiths, Joan Cunningham, David M Roder, Michael Coory, Paul L Jelfs and Tim Threlfall

    Citation: Population Health Metrics 2014 12:1

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  39. Content type: Research

    Demographic estimates of population at risk often underpin epidemiologic research and public health surveillance efforts. In spite of their central importance to epidemiology and public-health practice, little...

    Authors: Jack D Baker, Adelamar Alcantara, Xiaomin Ruan, Srini Vasan and Crouse Nathan

    Citation: Population Health Metrics 2013 11:24

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  40. Content type: Research

    The South Australian Department of Health has administered the Active Australia Survey triennially since 1998 to assess physical activity levels in the South Australian adult population. Survey findings may refle...

    Authors: Katherine Reta Devonshire-Gill and Kevin Ian Norton

    Citation: Population Health Metrics 2013 11:23

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  41. Content type: Research

    While many studies have examined differences between body mass index (BMI) categories in terms of mortality risk and health-related quality of life (HRQL), little is known about the effect of body weight on he...

    Authors: Colin Steensma, Lidia Loukine, Heather Orpana, Ernest Lo, Bernard Choi, Chris Waters and Sylvie Martel

    Citation: Population Health Metrics 2013 11:21

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  42. Content type: Research

    The analysis of multiple causes of death data has been applied in the United States to examine the population burden of chronic liver disease (CLD) and to assess time trends of alcohol-related and hepatitis C ...

    Authors: Ugo Fedeli, Elena Schievano, Manola Lisiero, Francesco Avossa, Giuseppe Mastrangelo and Mario Saugo

    Citation: Population Health Metrics 2013 11:20

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  43. Content type: Research

    Well-being is now accepted as one of four cross-cutting measures in gauging progress for Healthy People 2020. This shift to population indicators of well-being redresses notions of health that have focused on ...

    Authors: Rosemarie Kobau, Carla Bann, Megan Lewis, Matthew M Zack, Angela M Boardman, Renee Boyd, Kim C Lim, Tommy Holder, Anastacia KL Hoff, Cecily Luncheon, William Thompson, Willi Horner-Johnson and Richard E Lucas

    Citation: Population Health Metrics 2013 11:19

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