Cross-Sectional Average Length of Life by Parity: Illustration of US Cohorts of Reproductive Age in 2015

2020 ◽  
pp. 293-306
Author(s):  
Ryohei Mogi ◽  
Vladimir Canudas-Romo
Keyword(s):  
Average Length ◽  
Reproductive Age ◽  
Cross Sectional ◽  
Length Of Life ◽  
Cross Sectional Average

scholarly journals Cross-Sectional Average Length of Life Childless

Demography ◽  
2021 ◽  
Vol 58 (1) ◽  
pp. 321-344
Author(s):  
Ryohei Mogi ◽  
Jessica Nisén ◽  
Vladimir Canudas-Romo
Keyword(s):  
Average Length ◽  
The United States ◽  
Reproductive Age ◽  
Period Effect ◽  
Age At First Birth ◽  
First Birth ◽  
Cross Sectional ◽  
The Difference ◽  
Length Of Life ◽  
Cross Sectional Average

Abstract Increases in the average age at first birth and in the proportion of women remaining childless have extended the total number of years that women spend childless during their reproductive lifetime in several countries. To quantify the number of years that reproductive-age women live without children, we introduce the cross-sectional average length of life childless (CALC). This measure includes all the age-specific first-birth information available for the cohorts present at time t; it is a period measure based on cohort data. Using the Human Fertility Database, CALC is calculated for the year 2015 for all countries with long enough histories of fertility available. Results show that women in the majority of the studied countries spend, on average, more than half of their reproductive lives childless. Furthermore, the difference between CALCs in two countries can be decomposed to give a clear visualization of how each cohort contributes to the difference in the duration of the length of childless life in those populations. Our illustration of the decomposition shows that (1) in recent years, female cohorts in Japan and Spain at increasingly younger ages have been contributing to more years of childless life compared with those in Sweden, (2) the United States continues to represent an exception among the high-income countries with a low expectation for childless life of women, and (3) Hungary experienced a strong period effect of the recent Great Recession. These examples show that CALC and its decomposition can provide insights into first-birth patterns.

scholarly journals Reflection on modern methods: cause of death decomposition of cohort survival comparisons

2020 ◽  
Vol 49 (5) ◽  
pp. 1712-1718
Author(s):  
Vladimir Canudas-Romo ◽  
Tim Adair ◽  
Stefano Mazzuco
Keyword(s):  
Life Expectancy ◽  
Time Trends ◽  
Causes Of Death ◽  
Average Length ◽  
Major Contributor ◽  
Cross Sectional ◽  
Disease Mortality ◽  
Modern Methods ◽  
Length Of Life ◽  
Cross Sectional Average

Abstract Life expectancy is most commonly measured for a period (corresponding to mortality within a given year) or for a specific birth cohort. Although widely used, period and cohort life expectancy have limitations as their time-trends often show disparities and can mask the historical mortality experience of all cohorts present at a given time. The truncated cross-sectional average length of life, or TCAL, is a period measure including all available cohort mortality information, irrespective of whether all cohort members have died. It is particularly useful for comparing cohort mortality between populations. This study extends TCAL by disentangling causes of death contributions. The strength of the approach is that it allows identification of mortality differences in cohorts with members still alive, as well as identification of which ages and causes of death contribute to mortality differentials between populations. Application of the method to Japan shows that over the period 1950–2014 a major contributor to TCAL differences with other high-longevity countries was its lower cardiovascular disease mortality.

scholarly journals The cross-sectional average inequality in lifespan (CAL†): A lifespan variation measure that reflects the mortality histories of cohorts

2021 ◽  
Author(s):  
Marília Nepomuceno ◽  
Qi Cui ◽  
Alyson A van Raalte ◽  
José Manuel Aburto ◽  
Vladimir Canudas-Romo
Keyword(s):  
Temporal Dimension ◽  
Cross Sectional ◽  
New Methods ◽  
Country Rankings ◽  
Lifespan Variation ◽  
The Cross ◽  
Using Data ◽  
Length Of Life ◽  
Timing Of Death ◽  
Cross Sectional Average

Lifespan variation is a key metric of mortality that describes both individual uncertaintyabout the length of life and heterogeneity in population health. We propose a novel andtimely lifespan variation measure, which we call the Cross-sectional Average Inequality in Lifespan. This new index provides an alternative perspective on the analysis of lifespan inequality by combining the mortality histories of all cohorts present in a cross-sectional approach. We demonstrate how differences in the Cross-sectional Average Inequality in Lifespan measure can be decomposed between populations by age and cohort to explore the compression or expansion of mortality in a cohort perspective. We apply these new methods using data from ten low-mortality countries from 1879 to 2013. The Cross-sectional Average Inequality in Lifespan measure reveals greater uncertainty in the timing of death than the period life table-based indices of variation indicate. Also, country rankings of lifespan inequality vary considerably between period and cross-sectional measures. These differences open intriguing questions as to which temporal dimension is the most relevant to individuals when considering the uncertainty in the timing of death in planning their life courses.

scholarly journals Correction to: The cross-sectional average length of healthy life (HCAL): a measure that summarizes the history of cohort health and mortality

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Markus Sauerberg ◽  
Michel Guillot ◽  
Marc Luy
Keyword(s):  
Average Length ◽  
Cross Sectional ◽  
Healthy Life ◽  
History Of ◽  
The Cross ◽  
Health And Mortality ◽  
Cross Sectional Average

An amendment to this paper has been published and can be accessed via the original article.

scholarly journals The Cross-sectional Average Inequality in Lifespan (CAL†): A Lifespan Variation Measure That Reflects the Mortality Histories of Cohorts

Demography ◽  
2021 ◽  
Author(s):  
Marília R. Nepomuceno ◽  
Qi Cui ◽  
Alyson van Raalte ◽  
José Manuel Aburto ◽  
Vladimir Canudas-Romo
Keyword(s):  
Temporal Dimension ◽  
Cross Sectional ◽  
New Methods ◽  
Country Rankings ◽  
Lifespan Variation ◽  
The Cross ◽  
Using Data ◽  
Length Of Life ◽  
Timing Of Death ◽  
Cross Sectional Average

Abstract Lifespan variation is a key metric of mortality that describes both individual uncertainty about the length of life and heterogeneity in population health. We propose a novel and timely lifespan variation measure, which we call the cross-sectional average inequality in lifespan, or CAL†. This new index provides an alternative perspective on the analysis of lifespan inequality by combining the mortality histories of all cohorts present in a cross-sectional approach. We demonstrate how differences in the CAL† measure can be decomposed between populations by age and cohort to explore the compression or expansion of mortality in a cohort perspective. We apply these new methods using data from 10 low-mortality countries or regions from 1879 to 2013. CAL† reveals greater uncertainty in the timing of death than the period life table–based indices of variation indicate. Also, country rankings of lifespan inequality vary considerably between period and cross-sectional measures. These differences raise intriguing questions as to which temporal dimension is the most relevant to individuals when considering the uncertainty in the timing of death in planning their life courses.

Homocysteine Levels Show Significant Differences among Mediterranean Dietary Quality Index Variables Compared to Folate and Vitamin B12 Status in Women

2015 ◽  
Vol 85 (3-4) ◽  
pp. 202-210 ◽  
Author(s):  
Ivona Višekruna ◽  
Ivana Rumbak ◽  
Ivana Rumora Samarin ◽  
Irena Keser ◽  
Jasmina Ranilović
Keyword(s):  
Mediterranean Diet ◽  
Diet Quality ◽  
Quality Index ◽  
Fruits And Vegetables ◽  
Reproductive Age ◽  
Dietary Quality ◽  
Vitamin B ◽  
Cross Sectional ◽  
Poor Diet ◽  
The Mediterranean

Abstract. Results of epidemiologic studies and clinical trials have shown that subjects following the Mediterranean diet had lower inflammatory markers such as homocysteine (Hcy). Therefore, the aim of this cross-sectional study was to assess female diet quality with the Mediterranean diet quality index (MDQI) and to determine the correlation between MDQI, homocysteine, folate and vitamin B12 levels in the blood. The study participants were 237 apparently healthy women (96 of reproductive age and 141 postmenopausal) between 25 and 93 years. For each participant, 24-hour dietary recalls for 3 days were collected, MDQI was calculated, and plasma Hcy, serum and erythrocyte folate and vitamin B12 levels were analysed. Total MDQI ranged from 8 to 10 points, which represented a medium-poor diet for the subjects. The strength of correlation using biomarkers, regardless of group type, age, gender and other measured parameters, was ranked from best (0.11) to worst (0.52) for olive oil, fish, fruits and vegetables, grains, and meat, in this order. Hcy levels showed the best response among all markers across all groups and food types. Our study shows significant differences between variables of the MDQI and Hcy levels compared to levels of folate and vitamin B12 in participants with medium-poor diet quality, as evaluated according to MDQI scores.

Factor Related With the Anemia Incidence Of Adolescent Girl in Private High School Santa Lusia Medan, 2019

2020 ◽  
Vol 4 (2) ◽  
pp. 33
Author(s):  
Risda Mariana Manik ◽  
Hetty Gustina Simamora
Keyword(s):  
High School ◽  
Adolescent Girl ◽  
Sampling Technique ◽  
Consumption Patterns ◽  
Reproductive Age ◽  
Digital Data ◽  
Deficiency Anemia ◽  
Consumption Pattern ◽  
Cross Sectional ◽  
Private High School

According to data Basic Healt Research (Riskesdas) in 2016, as many as 22,7% women of reproductive age more than 15 years indicate anemia. Anemia that often occurs is iron deficiency anemia, the incidence reaches 50% of the total anemia. There is a significant relationship between nutritional status and incidence of anemia in adolescent.This study was an observational analytic with a cross sectional approach. This study was conducted in private high school Santa Lusia Medan. The population of this study were adolescent girl with a total sample 74 using total sampling technique. The research material in the form scales and height measurements to measure boddy mass index, quesioner for iron consumption patterns and consumption habits of Fe tablet and hemoglobin levels were examined using haemometer digital. Data analysis used chi square test (α=0,005).The results of the research are variabels related to anemia incidence are body mass index (sig=0,019), iron consumption patterns (sig=0,017), Fe tablet consumption habit (sig=0,045). Conclusion this study is factor causing anemia in adolescent girls is the pattern of iron consumption. Adolescent girl who have irreguler iron consumption pattern have an oppurtunity to experience anemia of 4,250 compared to adolescent girl who have reguler iron consumption patterns.

Sign in / Sign up

Export Citation Format

Share Document