U-shaped association between fertility and mortality in a community-based sample of Japanese women

Konishi, Shoko; Ng, Chris Fook Sheng; Watanabe, Chiho

doi:10.1136/jech-2017-209809

Cited by 7 publications

(6 citation statements)

References 31 publications

(44 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The protective effect of children has been found to be similar both among men and women (Grundy and Kravdal 2008). While some studies show an increasing protective factor among women as fertility increases, others demonstrated a loss of protective effect for women with four or more children (Hurt 2006; Konishi, Ng, and Watanabe 2018).…”

Section: Sociodemographic Factors and Mortalitymentioning

confidence: 99%

Differences in Mortality Rates between Haredi and Non‐Haredi Jews in Israel in the Context of Social Characteristics

Pinchas-Mizrachi

Zalcman²,

Shapiro

2020

Scientific Study of Religion

View full text Add to dashboard Cite

Research indicates that mortality rates are lower among the religious. Israeli ultra‐orthodox Jews, called Haredim, have characteristics distinguishing them from the rest of the Jewish population in Israel. These include lower socioeconomic status, higher fertility rates and rates of young marriage, and isolation from the general population. Our retrospective cohort study aims to determine the difference in mortality rates between Haredi and non‐Haredi Jews in Israel. We collected data on sociodemographic variables, religious lifestyle, and all‐cause mortality for 1,230,636 Jewish Israelis (62,674 Haredim) between 1996 and 2016. Using Cox regression and adjusted Kaplan‐Meier curves, we constructed models to evaluate the relationship between identifying as Haredi and mortality. The mortality rate was significantly lower among the Haredi population compared to the non‐Haredi population (5.0 percent vs. 8.2 percent). After adjusting for sex, age, marital status, number of children, education, and socioeconomic status, we still found a higher mortality rate among non‐Haredim compared to Haredim (HR = 1.596; 99 percent CI = 1.519, 1.678). While causal mechanisms could not be analyzed in this study, a likely cause is increased social, psychological, and religious resources, highlighting the need to consider factors other than socioeconomic status when studying religious and other groups with other forms of capital.

show abstract

Section: Sociodemographic Factors and Mortalitymentioning

confidence: 99%

Differences in Mortality Rates between Haredi and Non‐Haredi Jews in Israel in the Context of Social Characteristics

Pinchas-Mizrachi

Zalcman²,

Shapiro

2020

Scientific Study of Religion

View full text Add to dashboard Cite

show abstract

“…Psychologically, a multiparous woman would have less time and energy to take care of all children, and chances of child neglect can lead to child mortality. Additionally, mother belonging to lower socioeconomic status, and low education status tend to have many children and live in less favourable lifestyle [65].…”

Section: Descriptive Statisticsmentioning

confidence: 99%

Impact of High-Risk Fertility Behavior on Under-five Mortality in Asia and Africa: Evidence from Demographic and Health Surveys

Amir-ud-Din

Naz²,

Rubi

et al. 2020

Preprint

View full text Add to dashboard Cite

Background High-risk fertility behaviors (HRFBs) are common in African and South Asian countries and can potentially affect child survival. This study examines the high-risk fertility behaviors concerning child mortality across the countries. Method Data from a series of Demographic and Health Surveys from the year 1987 to 2016 from 24 South Asian and African countries (N=1,224,832) were included in this study. Four HRFB parameters - women’s age <18 or >=34 years at childbirth, birth spacing <24 months, and child order of birth >3, were categorized into three exposure levels: i) exposure to any HRFBs category (exposure to any of four parameters); ii) exposure to single and multiple HRFB category (a combination of two or more parameters); and iii) the specific type of HRFB category (either single or multiple HRFB categories). Bivariate descriptive analysis and a multivariate logistic regression model were used to examine the association between under-five child mortality and various measures of HRFBs. Results Our pooled data analysis reported that HRFBs was associated with an increased risk of under-five child mortality in Asian and African countries. Children of women exposed to HRFBs were at increased risk of under-five mortality by 77% (Adjusted Odds Ratio (AOR) = 1.771, 95% confidence interval (CI): 1.722 - 1.821). Children born within 24 months’ birth interval were four times more likely to die (AOR = 4.995, 95% CI: 4.842-5.152) than their counterparts. However, a single high-risk category was not associated with under-five mortality, and birth order was found to be a protective factor against under-five mortality. Age of women (<18 or >=34 years) was found to be a risk factor of Under-five child mortality in 16 countries. The association between under-five mortality risk and birth interval of less than 24 months was highly significant in all countries. Conclusion Women’s age at childbirth, birth interval, and birth order were significantly associated with under-five mortality. Quality care for women and newborns need to be ensured through investment in the healthcare system, and by promoting health services with more focus given to the valuable populations through sexual and reproductive health education programs and empowering women.

show abstract

“…We then used the parity data as an example of analyzing the response of a discrete exposure with an outcome in DRMA (Table S2). We choose three as the cut point of a number of birth refers to evidence from previous similar publications . This does not need centering since all the studies with “doses” start from zero.…”

Section: Examplesmentioning

confidence: 99%

Flexible piecewise linear model for investigating dose‐response relationship in meta‐analysis: Methodology, examples, and comparison

Thabane

Liu

et al. 2019

J Evidence Based Medicine

View full text Add to dashboard Cite

Objectives: Dose-response meta-analysis (DRMA) is widely employed in establishing the potential dose-response relationship between continuous exposures and disease outcomes. However, there is no valid DRMA method readily for discrete exposures, especially when the possible doseresponse trend not likely to be linear. We proposed a piecewise linear DRMA model as a solution to this issue. Methods:We illustrated the methodology of piecewise linear model in both one-stage DRMA approach and two-stage DRMA approach. The method by testing the equality of slopes of each piecewise was employed to judge if there is "piecewise effect" against a simple linear trend. We then used sleep (continuous exposure) and parity (discrete exposure) data as examples to illustrate how to apply the model in DRMA using the Stata code attached. We also empirically compared the slopes of piecewise linear model with simple linear as well as restricted cubic spline model. Results: Both one-stage and two-stage piecewise linear DRMA model fitted well in our examples, and the results were similar. Obvious "piecewise effects" were detected in both the two samples by the method we used. In our example, the new model showed a better fitting effect and practical, reliable results compared to the simple linear model, while similar results for to restricted cubic spline model. Conclusion: Piecewise linear function is a valid and straightforward method for DRMA and can be used for discrete exposures, especially when the simple linear function is under fitted. It represents a superior model to linear model in DRMA and may be an alternative model to the nonlinear model. K E Y W O R D S dose-response meta-analysis, discrete exposure, piecewise linear function

show abstract

U-shaped association between fertility and mortality in a community-based sample of Japanese women

Abstract: There exists a U-shaped association between parity and all-cause mortality and cause-specific mortality due to ischaemic heart disease among Japanese women.

Cited by 7 publications

References 31 publications

Differences in Mortality Rates between Haredi and Non‐Haredi Jews in Israel in the Context of Social Characteristics

Differences in Mortality Rates between Haredi and Non‐Haredi Jews in Israel in the Context of Social Characteristics

Impact of High-Risk Fertility Behavior on Under-five Mortality in Asia and Africa: Evidence from Demographic and Health Surveys

Flexible piecewise linear model for investigating dose‐response relationship in meta‐analysis: Methodology, examples, and comparison

Contact Info

Product

Resources

About