Understanding the rapid increase in life expectancy in shanghai, China: a population-based retrospective analysis

Chen, Hanyi; Hao, Lipeng; Yang, Chen; Yan, Bin; Sun, Qiang; Sun, Lichang; Chen, Hua; Chen, Yi‐Chen

doi:10.1186/s12889-018-5112-7

Cited by 35 publications

(44 citation statements)

References 33 publications

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“…From 1990 to 2002, CMNNs played an important role in the contributions to LE which were mainly influenced by infant mortality rate. Reductions of infant mortality in diarrhea, lower respiratory, and other common infectious diseases and neonatal disorders contributed most to LE, which was consistent with results in other studies [23,24]. Steady declines in fertility, comprehensive universal health insurance and the effective promotion of national health policy for children pediatric healthcare, including implementations of one-child family planning, immunization and nutritional support may account for the contributions from infant mortality [25][26][27].…”

Section: Discussionsupporting

confidence: 89%

Patterns and changes in life expectancy in China, 1990-2016

Hai¹,

Qian²,

Dong³

et al. 2020

PLoS ONE

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Objective To achieve the goal of "healthy China 2030", reasonable health policies must be developed based on the changes of death spectrum. We aim to investigate the temporal patterns of life expectancy (LE) and age/cause-specific contributions from 1990 to 2016. Methods Joinpoint regression model was used with Arriaga's decomposition method. Results LE in China has reached to 76.3 years in 2016 with an increase of 9.44 years from 1990. From 1990 to 2002, a remarkable reduction in infant mortality accounted for an increase of 1.27 years (35.39%) to LE which mainly resulted from diarrhea, lower respiratory, and other common infectious diseases (1.00 years, 27.79%). After 2002, those aged 65+ years contributed most to increased LE and the most prominent causes included cardiovascular diseases (0.67 years, 23.36%), chronic respiratory diseases (0.54 years, 18.76%) and neoplasms (0.39 years, 13.44%). Moreover, the effects of transport injuries changed from negative to positive. After 2007, contributions of transport and unintentional injuries increased especially for males. And for females contributions of cardiovascular diseases sharply increased LE by 1.17 years (32.26%). Conclusion More attention should be paid to cardiovascular diseases, chronic respiratory diseases and neoplasms which were mainly attributed to the increase of LE, especially for males and elderly population.

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Section: Discussionsupporting

confidence: 89%

Patterns and changes in life expectancy in China, 1990-2016

Hai¹,

Qian²,

Dong³

et al. 2020

PLoS ONE

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“…Among all its provinces, Shanghai has ranked first in LE in China mainland for many years 11 , with low mortality even by the standards of high-income countries. Our previous study showed that after a period of decline and recovery, LE in Shanghai finally increased from 71 years in the 1970s to 84 years in 2018, and is still on the rise 12 .…”

Section: Introductionmentioning

confidence: 97%

Non-communicable diseases are key to further narrow gender gap in life expectancy in Shanghai, China

Chen

Zhou

Sun

et al. 2020

Preprint

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Background To address change in gender gap of life expectancy (GGLE) in Shanghai from 1973 to 2018, and to identify the major causes of death and age groups associated with the change overtime. Methods Retrospective demographic analysis with application of Joinpoint regression to evaluate the temporal trend in GGLE and using life table technique and decomposition method to express changes in GGLE. Results Trend of GGLE in Shanghai experienced two phases ie., a decrease from 8.4 to 4.2 years in the descent phase (1973-1999) and a fluctuation between 4.0 and 4.9 years in the plateau phase (1999-2018). The reduced age-specific mortality rates tended to concentrate to a narrower age range, from age 0-9 and above 30 years in the descent phase to age above 55 years in the plateau phase. Gastroesophageal and liver cancer, communicable, chronic respiratory and digestive diseases were once the major contributors to narrow GGLE in the descent phase. While importance should be attached to a widening effect on GGLE by lung cancer, cardiovascular diseases, other neoplasms like colorectal and pancreatic cancer and diabetes in recent plateau phase. Conclusions Non-communicable diseases (NCDs) have made GGLE enter a plateau phase from a descent phase in Shanghai China. Public efforts to reduce excess mortalities for male NCDs, cancers, cardiovascular diseases, chronic respiratory diseases and diabetes in particular and health policies focused on the middle-aged and elderly population might further narrow GGLE and ensure improvement in health and health equity in Shanghai China.

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“…Impaired renal function, often deteriorating continuously and resulting to end-stage renal disease, is the common chronic complication in diabetes. Diabetic kidney disease (DKD) has become the main cause in patients requiring renal replacement therapy [1,2]. It's important to look for controllable risk factors to take appropriate measures to inhibit diabetic renal function to worse.…”

Section: Introductionmentioning

confidence: 99%

The Study on Serum Urate acid Target for Retarding Renal function to Worse in Diabetes

Ding

Qian

et al. 2020

Preprint

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Background: It’s unclear the exact level of serum urate acid (SUA) which can prevent renal function worse although all internists has been known the target of blood glucose, blood pressure and lipid in diabetes. It’s time to aim for a reasonable SUA target to prevent renal failure in diabetes.Methods: Using the physical examination results of 3427 diabetic patients in Jiangchuan Community, Shanghai, China, the relationship between SUA and estimated glomerular filtration rate (eGFR) decline was analyzed, and the appropriate cut-off point for SUA to predict eGFR decline was determined. Meanwhile, the population attributable risk proportion (PARP) of eGFR decline in diabetic patients above this SUA cut-off point was calculated. Results: eGFR decreased accompany with the increased SUA level and was negatively associated with the level of SUA significantly. After adjusting for potential confounders, SUA also was an independent risk factor of eGFR decline. The best appropriate SUA point, predicting eGFR decline obtained by ROC curve, was 326.5μmol/L which may prevent from eGFR decline in 33% male patients and 355.5μmol/L which may prevent from eGFR decline in 18% female patients. Compared with SUA>326.5μmol/L male and SUA>355.5μmol/L female group respectively, the relative risk of eGFR decline in SUA≤326.5μmol/L male and SUA≤355.5μmol/L female group is decreased significantly. Conclusions: SUA is an impotant risk factor for eGFR decline in diabetes. 326.5μmol/L in male and 355.5μmol/L in female may be used as the reasonable SUA target to retard renal function to worse in Chinese diabetes.

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Understanding the rapid increase in life expectancy in shanghai, China: a population-based retrospective analysis

Cited by 35 publications

References 33 publications

Patterns and changes in life expectancy in China, 1990-2016

Patterns and changes in life expectancy in China, 1990-2016

Non-communicable diseases are key to further narrow gender gap in life expectancy in Shanghai, China

The Study on Serum Urate acid Target for Retarding Renal function to Worse in Diabetes

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