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ABSTRACT: Objectives
Along with the development of the times and progress of the society, the total fertility rate (TFR) markedly changed in each country. Therefore, it is critical to describe the trend of TFR and explore its influencing factors. However, previous studies did not consider the time lag and cumulative effect in the associations between the influencing factors and TFR. Thus, our study aimed to analyze the associations from a new dimension.Methods
The study was employed using national-level data from the World Bank and United Nations Development Programme. Distributed lag non-linear models with 5-year lag were used to examine the independent associations between the relevant factors and TFR.Results
The cumulative exposure-TFR curves were inverted U-shaped for log
SUBMITTER: Cheng H
PROVIDER: S-EPMC9284852 | biostudies-literature | 2022 Jul
REPOSITORIES: biostudies-literature