Quantifying the burden of disease due to premature mortality in Hong Kong using standard expected years of life lost

Plaß D, Chau PY, Thach T, Jahn HJ, Lai P, Wong C, Krämer A (2013)
BMC Public Health 13(1): 863.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
Download
OA
Autor*in
Plaß, DietrichUniBi; Chau, Patsy Yuen; Thach, Thuan; Jahn, Heiko J.UniBi; Lai, Poh; Wong, Chit; Krämer, AlexanderUniBi
Abstract / Bemerkung
Background To complement available information on mortality in a population Standard Expected Years of Life Lost (SEYLL), an indicator of premature mortality, is increasingly used to calculate the mortality-associated disease burden. SEYLL consider the age at death and therefore allow a more accurate view on mortality patterns as compared to routinely used measures (e.g. death counts). This study provides a comprehensive assessment of disease and injury SEYLL for Hong Kong in 2010. Methods To estimate the SEYLL, life-expectancy at birth was set according to the 2004 Global Burden of Disease study at 82.5 and 80 years for females and males, respectively. Cause of death data for 2010 were corrected for misclassification of cardiovascular and cancer causes. In addition to the baseline estimates, scenario analyses were performed using alternative assumptions on life-expectancy (Hong Kong standard life-expectancy), time-discounting and age-weighting. To estimate a trend of premature mortality a time-series analysis from 2001 to 2010 was conducted. Results In 2010 524,706.5 years were lost due to premature death in Hong Kong with 58.3% of the SEYLL attributable to male deaths. The three overall leading single causes of SEYLL were “trachea, bronchus and lung cancers”, “ischaemic heart disease” and “lower respiratory infections” together accounting for about 29% of the overall SEYLL. Further, self-inflicted injuries (5.6%; ranked 5) and liver cancer (4.9%; ranked 7) were identified as important causes not adequately captured by classical mortality measures. Scenario analyses highlighted that by using a 3% time-discount rate and non-uniform age-weights the SEYLL dropped by 51.6%. Using Hong Kong’s standard life-expectancy values resulted in an overall increase of SEYLL by 10.8% as compared to the baseline SEYLL. Time-series analysis indicates an overall increase of SEYLL by 6.4%. In particular, group I (communicable, maternal, perinatal and nutritional) conditions showed highest increases with SEYLL-rates per 100,000 in 2010 being 1.4 times higher than 2001. Conclusions The study stresses the mortality impact of diseases and injuries that occur in earlier stages of life and thus presents the SEYLL measure as a more sensitive indicator compared to classical mortality indicators. SEYLL provide useful additional information and supplement available death statistics.
Erscheinungsjahr
2013
Zeitschriftentitel
BMC Public Health
Band
13
Ausgabe
1
Art.-Nr.
863
ISSN
1471-2458
Finanzierungs-Informationen
Open-Access-Publikationskosten wurden durch die Deutsche Forschungsgemeinschaft und die Universität Bielefeld gefördert.
Page URI
https://pub.uni-bielefeld.de/record/2624391

Zitieren

Plaß D, Chau PY, Thach T, et al. Quantifying the burden of disease due to premature mortality in Hong Kong using standard expected years of life lost. BMC Public Health. 2013;13(1): 863.
Plaß, D., Chau, P. Y., Thach, T., Jahn, H. J., Lai, P., Wong, C., & Krämer, A. (2013). Quantifying the burden of disease due to premature mortality in Hong Kong using standard expected years of life lost. BMC Public Health, 13(1), 863. doi:10.1186/1471-2458-13-863
Plaß, D., Chau, P. Y., Thach, T., Jahn, H. J., Lai, P., Wong, C., and Krämer, A. (2013). Quantifying the burden of disease due to premature mortality in Hong Kong using standard expected years of life lost. BMC Public Health 13:863.
Plaß, D., et al., 2013. Quantifying the burden of disease due to premature mortality in Hong Kong using standard expected years of life lost. BMC Public Health, 13(1): 863.
D. Plaß, et al., “Quantifying the burden of disease due to premature mortality in Hong Kong using standard expected years of life lost”, BMC Public Health, vol. 13, 2013, : 863.
Plaß, D., Chau, P.Y., Thach, T., Jahn, H.J., Lai, P., Wong, C., Krämer, A.: Quantifying the burden of disease due to premature mortality in Hong Kong using standard expected years of life lost. BMC Public Health. 13, : 863 (2013).
Plaß, Dietrich, Chau, Patsy Yuen, Thach, Thuan, Jahn, Heiko J., Lai, Poh, Wong, Chit, and Krämer, Alexander. “Quantifying the burden of disease due to premature mortality in Hong Kong using standard expected years of life lost”. BMC Public Health 13.1 (2013): 863.
Alle Dateien verfügbar unter der/den folgenden Lizenz(en):
Copyright Statement:
Dieses Objekt ist durch das Urheberrecht und/oder verwandte Schutzrechte geschützt. [...]
Volltext(e)
Access Level
OA Open Access
Zuletzt Hochgeladen
2019-09-06T09:18:18Z
MD5 Prüfsumme
0ad3def1fd3d937a680835872bf960c5

11 Zitationen in Europe PMC

Daten bereitgestellt von Europe PubMed Central.

Standard expected years of life lost (SEYLL) due to chronic obstructive pulmonary disease (COPD) in Poland from 1999 to 2014.
Dziankowska-Zaborszczyk E, Bryla M, Ciabiada-Bryla B, Maniecka-Bryla I., PLoS One 14(3), 2019
PMID: 30861024
Predictors of Hospital Mortality and the Related Burden of Disease in Severe Traumatic Brain Injury: A Prospective Multicentric Study in Brazil.
Areas FZ, Schwarzbold ML, Diaz AP, Rodrigues IK, Sousa DS, Ferreira CL, Quevedo J, Lin K, Kupek E, Ritter C, Dal Pizzol F, Walz R., Front Neurol 10(), 2019
PMID: 31105642
Years of Life Lost Due to Cervical Cancer in Poland in 2000 to 2015.
Pikala M, Burzyńska M, Maniecka-Bryła I., Int J Environ Res Public Health 16(9), 2019
PMID: 31052396
Years of life lost due to bronchial asthma in Poland between 1999 and 2013.
Paciej P, Dziankowska-Zaborszczyk E, Ciabiada B, Bryła M, Maniecka-Bryła I., J Asthma 55(6), 2018
PMID: 28759291
Years of life lost due to infectious diseases in Poland.
Bryla M, Dziankowska-Zaborszczyk E, Bryla P, Pikala M, Maniecka-Bryla I., PLoS One 12(3), 2017
PMID: 28333988
Years of life lost due to bladder cancer among the inhabitants of Poland in the years 2000 to 2014.
Jobczyk M, Pikala M, Różański W, Maniecka-Bryła I., Cent European J Urol 70(4), 2017
PMID: 29410882
The Burden of Premature Mortality in Turkey in 2001 and 2008.
Tokuç B, Ayhan S, Saraçoğlu GV., Balkan Med J 33(6), 2016
PMID: 27994921
The burden of premature mortality in Poland analysed with the use of standard expected years of life lost.
Maniecka-Bryła I, Bryła M, Bryła P, Pikala M., BMC Public Health 15(), 2015
PMID: 25884915
Years of Life Lost (YLL) in Colombia 1998-2011: Overall and Avoidable Causes of Death Analysis.
Castillo-Rodríguez L, Díaz-Jiménez D, Castañeda-Orjuela C, De la Hoz-Restrepo F., PLoS One 10(5), 2015
PMID: 25942009
Current and future molecular diagnostics in non-small-cell lung cancer.
Li CM, Chu WY, Wong DL, Tsang HF, Tsui NB, Chan CM, Xue VW, Siu PM, Yung BY, Chan LW, Wong SC., Expert Rev Mol Diagn 15(8), 2015
PMID: 26153330

39 References

Daten bereitgestellt von Europe PubMed Central.

The global financial crisis: an acute threat to health.
Horton R., Lancet 373(9661), 2009
PMID: 19186260
Welfare state regimes, infant mortality and life expectancy: integrating evidence from east Asia
AUTHOR UNKNOWN, 2012
Trends in healthy life expectancy in Hong Kong SAR 1996-2008.
Cheung KS, Yip PS., Eur J Ageing 7(4), 2010
PMID: 21212818
Measuring the burden of disease due to premature mortality using standard expected years of life lost (SEYLL) in North Rhine-Westphalia, a federal state of Germany, in 2005
AUTHOR UNKNOWN, 2010
The burden of premature mortality in Spain using standard expected years of life lost: a population-based study.
Genova-Maleras R, Catala-Lopez F, de Larrea-Baz NF, Alvarez-Martin E, Morant-Ginestar C., BMC Public Health 11(), 2011
PMID: 21989453
The burden of disease and injury in the United States 1996.
Michaud CM, McKenna MT, Begg S, Tomijima N, Majmudar M, Bulzacchelli MT, Ebrahim S, Ezzati M, Salomon JA, Kreiser JG, Hogan M, Murray CJ., Popul Health Metr 4(), 2006
PMID: 17049081
Global and regional burden of disease and risk factors, 2001: systematic analysis of population health data.
Lopez AD, Mathers CD, Ezzati M, Jamison DT, Murray CJ., Lancet 367(9524), 2006
PMID: 16731270
Measuring the burden of disease using disability-adjusted life years in Shilin County of Yunnan Province, China.
Zhou SC, Cai L, Wang J, Cui SG, Chai Y, Liu B, Wan CH., Environ Health Prev Med 16(3), 2010
PMID: 21431803

AUTHOR UNKNOWN, 2008

AUTHOR UNKNOWN, 1998

AUTHOR UNKNOWN, 1996
Health statistics now: are we making the right investments?
Boerma JT, Stansfield SK., Lancet 369(9563), 2007
PMID: 17336655
Years of life lost due to obesity.
Fontaine KR, Redden DT, Wang C, Westfall AO, Allison DB., JAMA 289(2), 2003
PMID: 12517229
Years of life lost due to premature mortality in Italy.
Mariotti S, D'Errigo P, Mastroeni S, Freeman K., Eur. J. Epidemiol. 18(6), 2003
PMID: 12908716
Premature mortality in health regions with high aboriginal populations.
Allard YE, Wilkins R, Berthelot JM., Health Rep 15(1), 2004
PMID: 14999891
Years of life lost due to premature death in Serbia (excluding Kosovo and Metohia).
Vlajinac H, Marinkovic J, Kocev N, Sipetic S, Bjegovic V, Jankovic S, Stanisavljevic D, Markovic-Denic L, Maksimovic J., Public Health 122(3), 2007
PMID: 17825856
Global and regional burden of disease and risk factors, 2001: systematic analysis of population health data.
Lopez AD, Mathers CD, Ezzati M, Jamison DT, Murray CJ., Lancet 367(9524), 2006
PMID: 16731270

AUTHOR UNKNOWN, 2001

AUTHOR UNKNOWN, 2011
DALYs: efficiency versus equity
AUTHOR UNKNOWN, 1998
Disability-adjusted life years: a critical review.
Anand S, Hanson K., J Health Econ 16(6), 1997
PMID: 10176779
Can the value choices in DALYs influence global priority-setting?
Arnesen T, Kapiriri L., Health Policy 70(2), 2004
PMID: 15364144

AUTHOR UNKNOWN, 2010

AUTHOR UNKNOWN, 2011

AUTHOR UNKNOWN, 2006

AUTHOR UNKNOWN, 2001

AUTHOR UNKNOWN, 2011

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 2011
'Schmallenberg virus'--a novel orthobunyavirus emerging in Europe.
Beer M, Conraths FJ, van der Poel WH., Epidemiol. Infect. 141(1), 2012
PMID: 23046921
Health gaps: an overview and critical appraisal
AUTHOR UNKNOWN, 2002

Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Web of Science

Dieser Datensatz im Web of Science®

Quellen

PMID: 24044523
PubMed | Europe PMC

Suchen in

Google Scholar