Changes in life expectancy and disease burden in Norway, 1990–2019: an analysis of the Global Burden of Disease Study 2019

Clarsen, Benjamin; Nylenna, Magne; Klitkou, Søren Toksvig; Vollset, Stein Emil; Baravelli, Carl Michael; Bølling, Anette Kocbach; Aasvang, Gunn Marit; Sulo, Gerhard; Naghavi, Mohsen; Pasovic, Maja; Asaduzzaman, Muhammad; Björge, Tone; Eggen, Anne Elise; Eikemo, Terje Andreas; Ellingsen, Christian Lycke; Haaland, Øystein Ariansen; Hailu, Alemayehu; Hassan, Shoaib; Hay, Simon I.; Júlíusson, Pétur Benedikt; Kısa, Adnan; Kısa, Sezer; Månsson, Johan; Mekonnen, Teferi; Murray, Christopher J L; Norheim, Ole Frithjof; Ottersen, Trygve; Sagoe, Dominic; Sripada, Kam; Winkler, Andrea Sylvia; Knudsen, Ann Kristin

doi:10.1016/s2468-2667(22)00092-5

Cited by 23 publications

(16 citation statements)

References 36 publications

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“…Since this study used modelled data, estimates may heavily rely on the quality of primary and modelling processes. Although GBD 2019 was a high-quality study in a comparative setting, as a general limitation of GBD studies that have been reported elsewhere ( Murray, 2022 ), estimates for certain countries, including North Korea, are mostly based on modelling by substituting data from similar regions due to the paucity of high-quality primary data ( Clarsen et al, 2022 ). Very limited primary data underpin the estimates of the North Korean burden of diseases in the GBD 2019.…”

Section: Discussionmentioning

confidence: 99%

Changes in contributions of age- and cause-specific mortality to the widening life expectancy gap between North and South Korea, 1990–2019: An analysis of the Global Burden of Disease Study 2019

Choi

Sempungu

Lee

et al. 2023

SSM - Population Health

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Section: Discussionmentioning

confidence: 99%

Changes in contributions of age- and cause-specific mortality to the widening life expectancy gap between North and South Korea, 1990–2019: An analysis of the Global Burden of Disease Study 2019

Choi

Sempungu

Lee

et al. 2023

SSM - Population Health

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“…On the other hand, the percentage of years of life spent in poor health was obtained, i.e., the time of total life expectancy that was not spent in good health [1]. Details on the calculation procedures can be found in previous studies [1,11,14,[19][20][21].…”

Section: Source Of Information and Indicatorsmentioning

confidence: 99%

“…Knowledge on the differences in LE and HALE within the administrative/geographical divisions of a country, as well as the possible associated factors, are still scarce [8][9][10][11][12]. This is in spite of the fact that it is a useful resource for monitoring the burden of disease globally and for following up on international commitments such as those set out in the Sustainable Development Goals (SDGs).…”

Section: Introductionmentioning

confidence: 99%

Divergences and gaps in life expectancy and health-adjusted life expectancy in Mexico: Contribution analysis of the Global Burden of Disease Study 2019

Agudelo-Botero,

Dávila-Cervantes,

Velasco-Calderón

et al. 2023

PLoS ONE

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Introduction Life expectancy (LE) and Health-adjusted life expectancy (HALE) are summary indicators that reflect a population’s general life conditions and measure inequities in health outcomes. The objective of this study was to identify the differences in LE and HALE by sex, age group, and state in Mexico from 1990 to 2019. Also, to evaluate whether the changes in HALE are related to sociodemographic indicators and indicators of access to and quality of health services. Methods A secondary analysis was performed based on the Global Burden of Disease, Injuries, and Risk Factors Study (GBD). Data were obtained for LE (by sex and state) and HALE (by sex, age group, and state) for the years 1990, 2010, and 2019. The correlations between HALE with the Socio-Demographic Index (SDI) and with the Healthcare Access and Quality (HAQ) Index were estimated for 1990 and 2019 (by total population and sex). Results LE and HALE had an absolute increase of 6.7% and 6.4% from 1990 to 2019, mainly among women, although they spent more years in poor health (11.8 years) than men. The patterns of LE and HALE were heterogeneous and divergent by state. In 2019, the difference in HALE (for both sex) between the states with the highest (Hidalgo) and the lowest (Chiapas) value was 4.6 years. Conclusions Progress in LE and HALE has slowed in recent years; HALE has even had setbacks in some states. Gaps between men and women, as well as between states, are persistent. Public and population policymaking should seek to lengthen LE and focus on ensuring that such years are spent in good health and with good quality of life.

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“…The northern region of Norway has a highly heterogeneous population with large cultural and socioeconomic differences and several ethnic minorities, comprising a population of approximately 75 000 inhabitants over a 46 600 km 2 area (a population density of 1.61 p/km 2 ). Overall, life expectancy in the region is the lowest in the country, with notable variation between communities 2 3. Particular challenges relate to inequality in health and welfare service provision and access to competent care.…”

Section: Introductionmentioning

confidence: 99%

Our health, our research. Identifying public health research priorities among children and youth in a multiethnic population: protocol for a community-based participatory health research priority survey

Irgens,

Berglen,

Christoffersen

et al. 2023

BMJ Open

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IntroductionEmphasis on public involvement (PI) in health research has increased in the last 20 years. However, there is limited literature on PI in planning and conducting population-based health research. This study aims to identify child and adolescent health research priorities among children and stakeholder groups in Northern Norway by inviting PI groups to collaborate with researchers to develop and conduct a research priority survey.Methods and analysisThis is a community-based participatory research project. The methods for research prioritisation are informed by those developed by the James Lind Alliance. In addition, the survey design and engagement plans are developed in extensive collaboration with child and youth stakeholder groups. Nine PI groups have met three times to develop an anonymous child and youth health research priority survey, as well as strategies for recruitment and dissemination of results. All 5th–10th grade pupils in the Finnmark region will be invited to participate in the survey, as well as caretakers and adults working for and with children and youth. The survey results will be analysed in collaboration with the PI groups, and research priorities checked with existing research literature.Ethics and disseminationThe study is registered and approved by the Data Protection Authorities at the Finnmark Hospital Trust and the Expert Committee for Sami Health Research. Descriptions of methods applied and the survey results will be published in popular and scientific publications.

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Changes in life expectancy and disease burden in Norway, 1990–2019: an analysis of the Global Burden of Disease Study 2019

Cited by 23 publications

References 36 publications

Changes in contributions of age- and cause-specific mortality to the widening life expectancy gap between North and South Korea, 1990–2019: An analysis of the Global Burden of Disease Study 2019

Changes in contributions of age- and cause-specific mortality to the widening life expectancy gap between North and South Korea, 1990–2019: An analysis of the Global Burden of Disease Study 2019

Divergences and gaps in life expectancy and health-adjusted life expectancy in Mexico: Contribution analysis of the Global Burden of Disease Study 2019

Our health, our research. Identifying public health research priorities among children and youth in a multiethnic population: protocol for a community-based participatory health research priority survey

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