Related Experiment Video
Updated: Nov 28, 2025

Analysis of Electrocardiograms and Behavior in Mice from Pregnancy to Lactation Period
Published on: April 5, 2024
Analysis of the difference in the perinatal mortality rate between white-collar and blue-collar workers in Japan,
1Medical Information Center, Kyushu University Hospital, Fukuoka, Japan.
Objectives:
This study investigated differences in the perinatal mortality rate between white-collar and blue-collar workers.
Methods:
Data from the "Report of Vital Statistics: Occupational and Industrial Aspects" in Japan covering the period from 1995 to 2015 were used. Five-year maternal age groups from 15-19 years to 45-49 years were analyzed according to work type, and the perinatal mortality rate for each age group and the age-standardized perinatal mortality rate according to maternal age were calculated in each analyzed year. A Bayesian age-period-cohort analysis was used to estimate age, period, and cohort effects for the perinatal mortality rate according to work type. Moreover, the perinatal mortality rate ratios between types of workers were estimated for each age group, period, and cohort.
Results:
The estimated perinatal mortality rate ratios of blue-collar to white-collar workers were above 1 in most of the age groups and cohorts. The age effect for the perinatal mortality rate among white-collar workers was the largest in the 15-year to 19-year age group, whereas that among blue-collar workers was the largest in the 45-year to 49-year age group. Furthermore, the estimated perinatal rate ratio between white-collar and blue-collar workers tended to increase with maternal age. The magnitude of the decrease of the cohort effects on the perinatal mortality rate was rather larger in blue-collar workers in the cohorts born between 1946-1950 and 1996-2000.
Conclusions:
The magnitude of the disparity markedly increased with maternal age. Thus, middle-aged blue-collar workers need more prenatal care and preventive measures for perinatal mortality than white-collar workers.
Related Concept Videos
Regression Toward the Mean
Bias in Epidemiological Studies
Comparing the Survival Analysis of Two or More Groups
Applications of Life Tables
Statistical Methods for Analyzing Epidemiological Data
Testing a Claim about Mean: Known Population SD
Estimating a population mean requires the samples to be distributed normally. The data should be collected from the randomly selected samples having no sampling bias. The sample size needed to be higher than 30, and most importantly, the population standard deviation should be already known.
In most realistic situations, the population standard deviation is often unknown, but in rare circumstances, when it...

