Understanding longevity in Hong Kong: a comparative study with long-living, high-income countries

被引:27
作者
Ni, Michael Y. [1 ,2 ,3 ]
Canudas-Romo, Vladimir [4 ]
Shi, Jian [1 ]
Flores, Francis P. [1 ]
Chow, Mathew S. C. [1 ]
Yao, Xiaoxin, I [1 ,5 ]
Ho, Sai Yin [1 ]
Lam, Tai Hing [1 ]
Schooling, C. Mary [1 ,6 ]
Lopez, Alan D. [7 ]
Ezzati, Majid [8 ,9 ,10 ]
Leung, Gabriel M. [1 ,11 ]
机构
[1] Univ Hong Kong, Sch Publ Hlth, LKS Fac Med, Hong Kong, Peoples R China
[2] Univ Hong Kong, State Key Lab Brain & Cognit Sci, Hong Kong, Peoples R China
[3] Univ Hong Kong, Hlth High Dens Cities Lab, HKUrbanLab, Hong Kong, Peoples R China
[4] Australian Natl Univ, Coll Arts & Social Sci, Sch Demog, Canberra, ACT, Australia
[5] Sun Yat Sen Univ, Affiliated Hosp 8, Dept Orthoped, Shenzhen, Peoples R China
[6] CUNY, Sch Publ Hlth & Hlth Policy, New York, NY 10021 USA
[7] Univ Melbourne, Melbourne Sch Populat & Global Hlth, Melbourne, Vic, Australia
[8] Imperial Coll London, MRC Ctr Environm & Hlth, Sch Publ Hlth, London, England
[9] Imperial Coll London, Abdul Latif Jameel Inst Dis & Emergency Analyt, London, England
[10] Univ Ghana, Reg Inst Populat Studies, Legon, Ghana
[11] Hong Kong Sci Pk, Lab Data Discovery Hlth D24H, Hong Kong, Peoples R China
关键词
MORTALITY; LIFE; SMOKING; POPULATION; TOBACCO; COHORT; DISEASE; CHINA; RISK; DEPRESSION;
D O I
10.1016/S2468-2667(21)00208-5
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background Since 2013, Hong Kong has sustained the world's highest life expectancy at birth-a key indicator of population health. The reasons behind this achievement remain poorly understood but are of great relevance to both rapidly developing and high-income regions. Here, we aim to compare factors behind Hong Kong's survival advantage over long-living, high-income countries. Methods Life expectancy data from 1960-2020 were obtained for 18 high-income countries in the Organisation for Economic Co-operation and Development from the Human Mortality Database and for Hong Kong from Hong Kong's Census and Statistics Department. Causes of death data from 1950-2016 were obtained from WHO's Mortality Database. We used truncated cross-sectional average length of life (TCAL) to identify the contributions to survival differences based on 263 million deaths overall. As smoking is the leading cause of premature death, we also compared smoking-attributable mortality between Hong Kong and the high-income countries. Findings From 1979-2016, Hong Kong accumulated a substantial survival advantage over high-income countries, with a difference of 1.86 years (95% CI 1.83-1.89) for males and 2.50 years (2.47-2.53) for females. As mortality from infectious diseases declined, the main contributors to Hong Kong's survival advantage were lower mortality from cardiovascular diseases for both males (TCAL difference 1.22 years, 95% CI 1.21-1.23) and females (1.19 years, 1.18-1.21), cancer for females (0.47 years, 0.45-0.48), and transport accidents for males (0.27 years, 0.27-0.28). Among high-income populations, Hong Kong recorded the lowest cardiovascular mortality and one of the lowest cancer mortalities in women. These findings were underpinned by the lowest absolute smoking-attributable mortality in high-income regions (39.7 per 100000 in 2016, 95% CI 34.4-45.0). Reduced smoking-attributable mortality contributed to 50.5% (0.94 years, 0.93-0.95) of Hong Kong's survival advantage over males in high-income countries and 34.8% (0.87 years, 0.87-0.88) of it in females. Interpretation Hong Kong's leading longevity is the result of fewer diseases of poverty while suppressing the diseases of affluence. A unique combination of economic prosperity and low levels of smoking with development contributed to this achievement. As such, it offers a framework that could be replicated through deliberate policies in developing and developed populations globally. Copyright (C) 2021 The Author(s). Published by Elsevier Ltd.
引用
收藏
页码:E919 / E931
页数:13
相关论文
共 66 条
[11]   Truncated cross-sectional average length of life: A measure for comparing the mortality history of cohorts [J].
Canudas-Romo, Vladimir ;
Guillot, Michel .
POPULATION STUDIES-A JOURNAL OF DEMOGRAPHY, 2015, 69 (02) :147-159
[12]   Light to moderate intake of alcohol, drinking patterns, and risk of cancer: results from two prospective US cohort studies [J].
Cao, Yin ;
Willett, Walter C. ;
Rimm, Eric B. ;
Stampfer, Meir J. ;
Giovannucci, Edward L. .
BMJ-BRITISH MEDICAL JOURNAL, 2015, 351
[13]   Smoking and Mortality - Beyond Established Causes [J].
Carter, Brian D. ;
Abnet, Christian C. ;
Feskanich, Diane ;
Freedman, Neal D. ;
Hartge, Patricia ;
Lewis, Cora E. ;
Ockene, Judith K. ;
Prentice, Ross L. ;
Speizer, Frank E. ;
Thun, Michael J. ;
Jacobs, Eric J. .
NEW ENGLAND JOURNAL OF MEDICINE, 2015, 372 (07) :631-640
[14]  
Centre for Health Protection, 2020, LIF EXP BIRTH MAL FE
[15]  
Chiang ChinLong, 1983, LIFE TABLE ITS APPL
[16]   How Does Socioeconomic Development Affect Risk of Mortality? An Age-Period-Cohort Analysis From a Recently Transitioned Population in China [J].
Chung, Roger Y. ;
Schooling, C. Mary ;
Cowling, Benjamin J. ;
Leung, Gabriel M. .
AMERICAN JOURNAL OF EPIDEMIOLOGY, 2010, 171 (03) :345-356
[17]  
Cox W., 2020, 16 ANN DEM INT HOUS
[18]  
Crimmins EM, 2011, EXPLAINING DIVERGENT LEVELS OF LONGEVITY IN HIGH-INCOME COUNTRIES, P1
[19]   Mortality from cancer in relation to smoking: 50 years observations on British doctors [J].
Doll, R ;
Peto, R ;
Boreham, J ;
Sutherland, I .
BRITISH JOURNAL OF CANCER, 2005, 92 (03) :426-429
[20]   Estimates of global mortality attributable to smoking in 2000 [J].
Ezzati, M ;
Lopez, AD .
LANCET, 2003, 362 (9387) :847-852