ABSTRACT
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.
ABSTRACT
ObjectiveTo establish the Shanghai twin birth cohort （STBC） and analyze the effects of genetic factors， shared environment， and non-shared environment interactions on birth health and growth and development of newborns. MethodsBased on the population-wide birth cohort in Shanghai， a comprehensive survey was conducted on the families with double and multiple babies born after January 1， 2015 to collect information on birth health， growth and development， and the family environment of the babies. ResultsBy December 31， 2021， a total of 7 195 pairs （14 405 cases） of twins were successfully included in the STBC survey. The average birth length of twins was 47.2 cm and average birth weight was 2 465.3 g. Heterozygous twins accounted for 69.05% and preterm babies accounted for 57.07%. The average age of the mothers of twins was 31.82 years， and the average age of the fathers was 33.87 years， with more than 80% of the parents having a college degree or above. 44.50% of the mothers used assisted reproductive technologies， 7.40% had illnesses during pregnancy， and 15.90% were exposed to passive smoking during pregnancy. During the survey period， the average monthly increase in the length of the twin infants was 2.09 cm， and the average monthly weight gain was 0.53 kg. ConclusionThe incidence of adverse outcomes such as maternal cesarean section rate， preterm birth， and low birth weight is higher in the twin birth population. Information on birth health as well as growth and development in childhood and adolescence in the twin birth population is collected based on STBC， which can provide a solid data foundation for studying children’s chronic non-communicable diseases， psychological and behavioral disorders and other complex health problems caused by the combined effects of genetics and the environment.
ABSTRACT
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.