Objective:To analyze the difference of life expectancy and healthy life expectancy among Shanghai residents of different gender and age groups.Methods:Compare the trends of life expectancy among Shanghai and other longevity countries/regions. With the disability weights of GBD, Sullivan method was applied to calculate the healthy life expectancy in Shanghai and analyze the loss of healthy life years among the population of different age groups and genders.Results:In the past 40 years, life expectancy had increased by 10.86 years in Shanghai. In 2016, the life expectancy of Shanghai residents was 83.18 years old, and 80.83 years old for males and 85.61 years old for females. The healthy life expectancy of Shanghai residents was 69.46 years, and 68.68 years for males and 70.23 years old for females. The gap with life expectancy was 13.72 years old, 12.15 years old and 15.38 years old, respectively. They account for 16.49%, 15.02% and 17.97% of life expectancy, respectively. The healthy life expectancy of women in all age groups is higher than that of men with the average gap of 1.76 years. The difference between the two is as small as 1.36 years at 20-24 years old, and as large as 2.24 years at 70-74 years old. The loss rate of healthy life expectancy increases with age, with women higher than men before age 65 and vice versa after age 65 years old.Conclusions:The life expectancy in Shanghai has reached the world leading level, but the healthy life loss is still large. It is necessary to further improve the life quality with the reducing mortality rate, especially for women and men over 65 years old.

Objective:To investigate health status and calculate health life expectancy (HE) of residents in Shanghai, analyze health related factors and provided foundation of health policy.Methods:A multi-stage stratified random sampling was used to obtain self-reported health survey in Shanghai. WHO questionnaire was used to evaluate the health quality of life which was designed for the world health survey, Sullivan's method was used to calculate HE.Results:The self-assessment disability measure for adults over 18 years old in Shanghai was 0.25, higher for women (0.28) than for men (0.23). LE was 65.76 years for adults over 18 years old, higher for women (68.22) than for men (63.39). HE for adults over 18 years old was 47.99 years old, higher for men (49.05) than women (47.14). HE's proportion in LE gradually decreases with age. It accounts for 72.97% in the 18 years old and 39.00% in the 85 years old.Conclusions:The health of adult male in Shanghai is higher than that of female, and the proportion of HE loss of elderly is higher than young people. It is necessary to focus on the aging problem and strengthen the long-term care and health support system for the elderly. Improve the prevention and control of major diseases such as chronic diseases,which affect the quality of life expectancy seriously. Promotes the health level and quality of life in Shanghai.

ObjectiveTo analyze the dynamic response relationship between urban development and mortality rate in Shanghai， and to predict the trend of mortality rate changes. MethodsBy analyzing the total mortality rate （TMR）， gross domestic product （GDP） and socio-demographic index （SDI） in Shanghai from 1978 to 2017， a vector autoregressive （VAR） model was constructed to evaluate the impact of urban development on the mortality rate. ResultsThe fitted R2 of the VAR model was 0.92. The short-term effect of GDP on the improvement of death level was negative， while the long-term effect was positive， and the SDI was negative regardless of the short-term and long-term effects. By the tenth year， GDP and SDI contributed 10.61% and 27.25% to TMR changes， respectively. The model predicted that the mortality rate in Shanghai would be 9.17 per thousand by 2030. ConclusionLong-term economic growth can effectively promote a decline in population mortality. However， as the economy develops vigorously， the adverse effects of declining birth rates and population aging on population health during the era of high-level population development should not be ignored.

ObjectiveTo elucidate the principles and methods of the Bayesian probabilistic linkage model， and to demonstrate the effect of applying the model in linking birth and death data. MethodsThrough the Shanghai birth and death registration system， data of 199 025 infants born in 2017 and 1 512 infants who died in 2017 and 2018 were collected. After cleaning the data， the data were divided into monthly blocks and fully linked. The Jaro-Winkler algorithm and Euclidean distance were employed to measure the similarity of fields for matching. A Bayesian probabilistic linkage model was constructed and the linking effect was evaluated using a confusion matrix. ResultsUsing the Bayesian probabilistic linkage model， the birth and death data of infants were effectively linked， revealing that 36.71% of infants who died in Shanghai were born outside the city， and the probability of infant death was 2.6‰. The confusion matrix of the test set showed a recall rate of 0.86， precision of 0.76， and an F-score of 0.81. ConclusionThe practical application of Bayesian probabilistic linkage demonstrates a good model performance， enabling the establishment of birth-death cohorts that more accurately reflect the true levels of infant mortality. Utilizing this technique to integrate data from different departments can effectively improve research efficiency in the field of public health.

ObjectiveTo introduce the basic design， development plan and objectives of a population-based birth cohort in Shanghai， and further present the main data and baseline characteristics of enrolled participants in the cohort， and to provide key information for reproductive health-related studies. MethodsThe Shanghai population-based birth cohort initiated on January 1， 2005， included newborns born in Shanghai every year and their parents， and collected information on reproductive health， reproductive treatment， birth characteristics， growth and development status， as well as the incidence， treatment and death of diseases by employing data linkage technology and investigations. This formed a birth cohort spanning the entire life cycle. ResultsAs of October 2022， a total of 2 978 538 newborns and their parents were included in the cohort. Among them， 2 905 135 （97.54%） were naturally conceived （NC）， and 73 403 （2.46%） were born through assisted reproductive technologies （ART）. The average age of parents was （32.56±4.12） years old for females and （34.62±5.34） years old for males in the ART group， which was higher than （28.02±4.71） years and （30.07±5.54） years for parents in the NC group. Among parents， females and males aged 30 and above accounted for 77.12% and 85.08%， respectively， which were higher than that of parents （35.28% for females and 49.66% for males） in the NC group. Furthermore， the percentage of parents with a college degree or above in the ART group was 73.23% for females and 73.66% for males， which were higher than those in the NC group （49.98% and 50.91%， respectively）. The multiple births rate in the ART group was 33.81%， which was higher than that in the NC group （1.88%）. The incidence of premature birth and low birth weight in the ART group were 24.47% and 19.08%， respectively， which was higher than that in the NC group （5.47% and 3.73%）. ConclusionThe comprehensive collection of reproductive health-related information in the birth cohort in Shanghai can provide essential resources to determine the influence of genetics， environment， reproductive treatment and other related factors on the health of offspring after birth.