scholarly journals Age period cohort analysis of chewing ability in Korea from 2007 to 2018

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Nam-Hee Kim ◽  
Ichiro Kawachi
Keyword(s):  
Cohort Analysis ◽  
Cohort Effect ◽  
Cohort Effects ◽  
Period Effect ◽  
The Past ◽  
Health And Nutrition ◽  
Period Effects ◽  
Chewing Ability ◽  
Main Variable ◽  
Observation Period

AbstractThere have been marked improvements in oral health in Korea during the past 10 years, including chewing ability. We sought to disentangle age, period, and cohort effects in chewing ability between 2007 and 2018. We analyzed data from the Korea National Health and Nutrition Examination Survey. The main variable was chewing difficulty, which was assessed among participants aged 20 years and older. APC analysis revealed three trends in chewing difficulty: (1) there was an increase in chewing difficulty starting at around 60 years of age (age effect), (2) there was a steady decrease in chewing difficulty during the observation period (period effect), and (3) chewing ability improved with each successive generation born after 1951 (cohort effect). Regarding recent improvements in chewing ability, cohort effects were somewhat more important than period effects.

Cohort Effects in the Prevalence of Caries in Child Populations in Tanzania

1989 ◽  
Vol 68 (12) ◽  
pp. 1777-1780 ◽  
Author(s):  
J.E. Frencken ◽  
M.A. Van't Hof ◽  
G.-J. Truin ◽  
B.S. Lembariti ◽  
K.G. König
Keyword(s):  
Longitudinal Study ◽  
Oral Health ◽  
Longitudinal Studies ◽  
Developing Country ◽  
Cohort Analysis ◽  
Cohort Effect ◽  
Cohort Effects ◽  
External Information ◽  
Upward Trend ◽  
Period Effects

In 1984, a four-year mixed-longitudinal study of oral health was begun in Morogoro Town and Morogoro District, Tanzania. Its main goal was to detect a possible upward trend in prevalence of caries in child cohorts in this developing country. The sample consisted of 722 seven-to nine-year-olds in 1984, 833 seven- to 11-year-olds in 1986, and 989 seven- to 13-year-olds in 1988. Mixed-longitudinal studies provide the opportunity for application of the Age-Period-Cohort analysis. On the basis of external information, either age and/or cohort and/or period effects can thus be isolated. Apart from significant age and period effects, a cohort effect was found, indicating that the prevalence of caries has decreased in these child populations between 1984 and 1988.

scholarly journals Temporal Trends in Notification and Mortality of Tuberculosis in China, 2004–2019: A Joinpoint and Age–Period–Cohort Analysis

2021 ◽  
Vol 18 (11) ◽  
pp. 5607
Author(s):  
Luqi Wang ◽  
Weibing Wang
Keyword(s):  
Cohort Analysis ◽  
Temporal Trends ◽  
Public Health Problem ◽  
Cohort Effect ◽  
Age Effect ◽  
Period Effect ◽  
Major Public Health Problem ◽  
Annual Percent Change ◽  
Mortality Risks ◽  
The Past

Tuberculosis (TB) remains a major public health problem in China and worldwide. In this article, we used a joinpoint regression model to calculate the average annual percent change (AAPC) of TB notification and mortality in China from 2004 to 2019. We also used an age–period–cohort (APC) model based on the intrinsic estimator (IE) method to simultaneously distinguish the age, period and cohort effects on TB notification and mortality in China. A statistically downward trend was observed in TB notification and mortality over the period, with AAPCs of −4.2% * (−4.9%, −3.4%) and −5.8% (−7.5%, −4.0%), respectively. A bimodal pattern of the age effect was observed, peaking in the young adult (aged 15–34) and elderly (aged 50–84) groups. More specifically, the TB notification risk populations were people aged 20–24 years and 70–74 years; the TB mortality risk population was adults over the age of 60. The period effect suggested that TB notification and mortality risks were nearly stable over the past 15 years. The cohort effect on both TB notification and mortality presented a continuously decreasing trend, and it was no longer a risk factor after 1978. All in all, the age effect should be paid more attention.

scholarly journals Age-period-cohort effects in half a century of motor vehicle theft in the United States

Crime Science ◽  
2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Anthony Dixon ◽  
Graham Farrell
Keyword(s):  
United States ◽  
Motor Vehicle ◽  
Cohort Effect ◽  
The United States ◽  
Cohort Effects ◽  
Period Effect ◽  
Motor Vehicle Theft ◽  
Birth Cohorts ◽  
Vehicle Theft ◽  
Period Effects

AbstractAdopting and refining O’Brien’s S-constraint approach, we estimate age-period-cohort effects for motor vehicle theft offences in the United States for over half a century from 1960. Taking the well-established late-teen peak offending age as given, we find period effects reducing theft in the 1970 s, and period, but particularly cohort effects, reducing crime from the 1990s onwards. We interpret these effects as consistent with variation in the prevailing level of crime opportunities, particularly the ease with which vehicles could be stolen. We interpret the post-1990s cohort effect as triggered by a period effect that operated differentially by age: improved vehicle security reduced juvenile offending dramatically, to the extent that cohorts experienced reduced offending across the life-course. This suggests the prevailing level of crime opportunities in juvenile years is an important determinant of rates of onset and continuance in offending in birth cohorts. We outline additional implications for research and practice.

Forecasting U.K. Population Mortality Allowing for Age, Period and Cohort Effects

2009 ◽  
Vol 15 (S1) ◽  
pp. 73-89 ◽  
Author(s):  
D. O. Forfar
Keyword(s):  
Cohort Effect ◽  
Cohort Effects ◽  
Mortality Data ◽  
Period Effect ◽  
Female Mortality ◽  
Mortality Experience ◽  
National Statistics ◽  
Period Effects ◽  
Males And Females ◽  
Population Mortality

ABSTRACTThe mortality data (registered deaths and population size) over the years 1961–2007 for the population of England and Wales and for Scotland were obtained from the Office for National Statistics (ONS) and from the Scottish Registrar General. This paper addresses the following questions:(i) Is there statistical evidence for a cohort effect (i.e. a generation effect separate from the period effect) being present in the data?(ii) Do both males and females exhibit similar cohort (generation) effects?(iii) Are period effects (i.e. the improvement in mortality with time) more significant than cohort effects?(iv) How should one allow, in forecasts of population mortality, for age, period and cohort effects?(v) Is it sensible to combine male and female mortality experience to determine the period effect and the cohort effect?(vi) How do the forecasts for the expectation of life at birth, using the Extended-Lee–Carter-Combined (ELCC) model (described in the paper) differ from the (2008 based) Office of National Statistics (ONS) forecasts of the expectation of life at birth?

On the age-period-cohort analysis of suicide rates

1988 ◽  
Vol 18 (3) ◽  
pp. 677-681 ◽  
Author(s):  
Stephen C. Newman ◽  
Ronald J. Dyck
Keyword(s):  
Mathematical Model ◽  
Cohort Analysis ◽  
Cohort Effect ◽  
Cohort Effects ◽  
Period Effect ◽  
Simple Mathematical Model ◽  
Data Set ◽  
Popular Method ◽  
Suicide Rates ◽  
National Trends

SynopsisCohort analysis has become a popular method of examining national trends in suicide rates. Most of the studies investigating this phenomenon have reported a cohort effect to be present. Using a graphical approach, this paper places cohort analysis within the broader framework of age-period-cohort analysis. It is shown that published reports may have failed to identify cohort effects due to using only portions of the available data. With a simple mathematical model it is demonstrated that what appears to be a cohort effect may be a period effect, and conversely. It is recommended that suicide rates be examined for both period and cohort effects before conclusions are drawn regarding trends, and that the complete data set be used for this purpose.

scholarly journals Secular Trends in the Incidence of Migraine in China From 1990 to 2019: a Joinpoint and Age-period-cohort Analysis

2021 ◽  
Author(s):  
Yufeng Wang ◽  
Xueying Huang ◽  
Huan Ma ◽  
Suru Yue ◽  
Jie Liu ◽  
...  
Keyword(s):  
Cohort Analysis ◽  
Cohort Effect ◽  
Incidence Rates ◽  
Period Effect ◽  
Birth Cohorts ◽  
Annual Percent Change ◽  
Intervention Measures ◽  
Disease Pattern ◽  
The 1960S ◽  
Disease Study

Abstract Background Migraine is a common disorder of the nervous system in China, imposing heavy burdens on individuals and societies. Optimal healthcare planning requires understanding the magnitude and changing trend of migraine incidence in China. However, the secular trend of migraine incidence in China remains unclear. Methods Data were collected from the Global Burden of Disease Study 2019 in China from 1990 to 2019 to investigate changes in the incidence rate of migraine. The average annual percent change and relative risk were calculated using joinpoint regression and an age–period–cohort model, respectively. Results From 1990 to 2019, the age-standardized incidence rates of migraine in China increased by 0.26% (95% CI: 0.22 to 0.31) and 0.23% (95% CI: 0.19 to 0.28) per year in males and females, respectively. The age effect exerted the most significant impact on the incidence of migraine. The period effect showed a slightly decreasing trend in the incidence of migraine. In terms of the cohort effect, people born after the 1960s presented a higher risk of migraine as compared with the total cohort, with the occurrence risk of migraine increasing with birth cohorts. Conclusion Migraine incidence shows an overall increasing trend in China, with a significant gender difference. An intensive understanding of the risk characteristics and disease pattern of migraine could allow the early detection of persons with a high risk of developing migraine and promote the development of timely intervention measures to relieve this burden effectively.

scholarly journals Historical Trends in Incidence of Breast Cancer in Shanghai, Hong Kong and Los Angeles, 1973–2012: A Joinpoint and Age-Period-Cohort Analysis

2021 ◽  
Vol 66 ◽  
Author(s):  
Hang-Hang Luan ◽  
Li-Sha Luo ◽  
Zhi-Yan Lu
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Hong Kong ◽  
Los Angeles ◽  
Cancer Incidence ◽  
White Women ◽  
Cohort Analysis ◽  
Breast Cancer Incidence ◽  
Cohort Effects ◽  
Period Effect

Objectives: This study aimed to estimate the long-term trends of breast cancer incidence in Shanghai, Hong Kong, and Los Angeles (LA).Methods: Data were obtained from Cancer Incidence in Five Continents (CI5plus) database. The average annual percent change (AAPC) was conducted by joinpoint regression analysis, and the age, period and cohort effects were estimated by age-period-cohort (APC) analysis.Results: The age-standardized incidence rates (ASIRs) in LA were higher than Shanghai and Hong Kong. During 1988–2012, the ASIRs significantly decreased in white women in LA (AAPC = −0.6%, 95% CI: −0.9% to −0.4%) while increased in Shanghai (2.5%: 2.1%–2.9%) and Hong Kong (2.2%: 2.0%–2.5%). The APC analysis revealed significantly increased effects of age and period, and decreased effect of birth cohort.Conclusion: Although age and cohort effects were relatively strong, the period effect may be the key factor affecting trends of incidence, which may be caused by increasing exposures to carcinogens and risk factors. Therefore, more effective measures should be carried out promptly to protect high-risk populations such as elder women, to avoid exposures to risk factors of breast cancer.

scholarly journals All-Cause and Cancer Mortality Trends in Macheng, China (1984–2013): An Age-Period-Cohort Analysis

2018 ◽  
Vol 15 (10) ◽  
pp. 2068
Author(s):  
Chunhui Li ◽  
Songbo Hu ◽  
Chuanhua Yu
Keyword(s):  
Cancer Mortality ◽  
Disease Surveillance ◽  
Cohort Analysis ◽  
Cohort Effect ◽  
Age Effect ◽  
Mortality Data ◽  
Period Effect ◽  
Mortality Trends ◽  
All Cause Mortality ◽  
Males And Females

The aim was to study the variation trends of all-cause and cancer mortality during 1984–2013 in Macheng City, China. The mortality data were collected from Macheng City disease surveillance points system and Hubei Center for Disease Control and Prevention. The model life table system was used to adjust mortality rates due to an under-reporting problem. An age-period-cohort model and intrinsic estimator algorithm were used to estimate the age effect, period effect, and cohort effect of all-cause mortality and cancer mortality for males and females. Age effect of all-cause mortality for both sexes increased with age, while the age effect of cancer mortality for both sexes reached a peak at the age group of 55–59 years old and then decreased. The relative risks (RRs) of all-cause mortality for males and females declined with the period and decreased by 51.13% and 63.27% during the whole study period, respectively. Furthermore, the period effect of cancer mortality in both sexes decreased at first and then increased. The cohort effect of all-cause and cancer mortality for both sexes born after 1904 presented the pattern of “rise first and then fall,” and decreased by 82.18% and 90.77% from cohort 1904–1908 to 1989–1993, respectively; especially, the risk of all-cause and cancer mortality for both sexes born before 1949 was much higher than that for those born after 1949.

scholarly journals Suicide Mortality in Canada and Quebec, 1926-2008: An Age-Period-Cohort Analysis

2015 ◽  
Vol 42 (3-4) ◽  
pp. 1 ◽  
Author(s):  
Lise Thibodeau
Keyword(s):  
Mortality Rate ◽  
Death Rate ◽  
Descriptive Analysis ◽  
Cohort Analysis ◽  
Cohort Effect ◽  
Theoretical Framework ◽  
Age Effect ◽  
Suicide Mortality ◽  
Period Effect ◽  
Suicide Rates

Suicide rates raise with age has remained consistent for more than 150 years but over the last 50 years major changes occurred. We examined Age-Period-Cohort (APC) effects on suicide mortality rate by gender in Canada and in Quebec from 1926 to 2008. Durkheim theoretical framework is used to interpret our findings. Descriptive analysis and APC models relating to the Intrinsic Estimator (IE) were used to assess these effects. IE model shows suicide net age effect for men in Canada and Quebec as death rate increased until 25 years old before reaching a plateau. For women it’s an inverted "U" shape peaking at mid-adulthood. While period effect differs, a net cohort effect is found for men born in 1941, and women in 1981 until most recent cohorts. 

scholarly journals Support for Marijuana (Cannabis) Legalization: Untangling Age, Period, and Cohort Effects

2017 ◽  
Vol 3 (1) ◽  
Author(s):  
William Campbell ◽  
Jean Twenge ◽  
Nathan Carter
Keyword(s):  
Hierarchical Models ◽  
Cohort Analysis ◽  
General Social Survey ◽  
Age Effect ◽  
Cohort Effects ◽  
Period Effect ◽  
Social Survey ◽  
Time Period ◽  
Survey Sample ◽  
Nationally Representative

In three large, nationally representative surveys of U.S. 12th graders, college students, and adults (N = 9 million) conducted 1968–2015, Americans became significantly more supportive of legal marijuana (cannabis) starting in the mid-1980’s. Hierarchical models using age-period-cohort analysis on the adult (General Social Survey) sample showed that the increased support for legalization is primarily a time period effect rather than generational or age effect; thus, Americans of all ages became more supportive of legal marijuana. Among 12th graders, support for marijuana legalization was closely linked to perceptions of marijuana safety.

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