Analysis of the difference in the perinatal mortality rate between white-collar and blue-collar workers in Japan, 1995-2015
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
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.
Abstract
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.
참고문헌 (29)
- "Vital statistics of Japan 2018"[URL]
- Stephansson O, "The influence of socioeconomic status on stillbirth risk in Sweden", Int J Epidemiol, 30, pp.1296~1301 (2001)
- Sugai MK, "Trends in perinatal mortality and its risk factors in Japan : analysis of vital registration data, 1979-2010", Sci Rep, 7, pp.46681~ (2017)
- Nishi M, "Infant mortality∙perinatal mortality∙stillbirth in jobless households", J Health Welf Stat, 54, pp.34~38 (2007)
- Fujiwara T, "Income inequality, parental socioeconomic status, and birth outcomes in Japan", Am J Epidemiol, 177, pp.1042~1052 (2013)
- Hirokawa K, "Mortality risks in relation to occupational category and position among the Japanese working population : the Jichi Medical School(JMS)cohort study", BMJ Open, 3, pp.e002690~ (2013)
- Zaitsu M, "Occupational inequalities in female cancer incidence in Japan : hospital-based matched case-control study with occupational class", SSM Popul Health, 5, pp.129~137 (2018)
- Gissler M, "Trends in socioeconomic differences in Finnish perinatal health 1991-2006", J Epidemiol Community Health, 63, pp.420~425 (2009)
- Haglund B, "Social differences in late fetal death and infant mortality in Sweden 1985-86", Paediatr Perinat Epidemiol, 7, pp.33~44 (1993)
- Senda S, "Analysis of effects of maternal age and occupation on perinatal outcomes using the report of vital statistics : occupational and industrial aspects", J Health Welf Stat, 65, pp.1~7 (2018)
- Powers DA, "Black-white differences in maternal age, maternal birth cohort, and period effects on infant mortality in the US(1983-2002)", Soc Sci Res, 42, pp.1033~1045 (2013)
- Ananth CV, "Stillbirths in the United States, 1981-2000 : an age, period, and cohort analysis", Am J Public Health, 95, pp.2213~2217 (2005)
- Ananth CV, "Small-for-gestational-age births in the United States : an age-period-cohort analysis", Epidemiology, 15, pp.28~35 (2004)
- "Report of vital statistics: occupational and industrial aspects"[URL]
- Tanaka H, "Changes in mortality inequalities across occupations in Japan : a national register based study of absolute and relative measures, 1980-2010", BMJ Open, 7, pp.e015764~ (2017)
- Wada K, "Inequality in mortality by occupation related to economic crisis from 1980 to 2010 among working-age Japanese males", Sci Rep, 6, pp.22255~ (2016)
- Matsumoto K, "The relationship between the work history and the disease among our hospital inpatients ~ are there any disease specificities among white-collar workers?", JJOMT, 64, pp.39~45 (2016)
- Nakazawa T, "Residential differentiation in the Tokyo metropolitan area in terms of occupation-specific net migration", Ann Assoc Econ Geogr, 62, pp.39~56 (2016)
- Smith TR, "A review and comparison of age–period–cohort models for cancer incidence", Stat Sci, 31, pp.591~610 (2016)
- Schmid VJ, "Bayesian age-period-cohort modeling and prediction-BAMP", J Stat Softw, 21, pp.1~15 (2007)
- Pinheiro RL, "Advanced maternal age : adverse outcomes of pregnancy, a meta-analysis", Acta Med Port, 32, pp.219~226 (2019)
- Mutz-Dehbalaie I, "Perinatal mortality and advanced maternal age", Gynecol Obstet Invest, 77, pp.50~57 (2014)
- "Basic survey on wage structure"[URL]
- Kim MK, "Socioeconomic status can affect pregnancy outcomes and complications, even with a universal healthcare system", Int J Equity Health, 17, pp.2~ (2018)
- Choe SA, "The income-based disparities in preeclampsia and postpartum hemorrhage: a study of the Korean National Health Insurance cohort data from 2002 to 2013", Springerplus, 5, pp.895~ (2016)
- Silva L, "Maternal educational level and risk of gestational hypertension : the Generation R Study", J Hum Hypertens, 22, pp.483~492 (2008)
- Suzuki J, "The relationship between stressors and mental health among Japanese middle-aged women in urban areas", Women Health, 58, pp.534~547 (2018)
- Furuta K, "Trends in the association between education and occupation in Japan", Sociol Theory Methods, 33, pp.234~246 (2018)
- Tanaka H, "Widening socioeconomic inequalities in smoking in Japan, 2001-2016", J Epidemiol (2020)[DOI]