ArticleEpidemiology and health2017
The unrealized potential: cohort effects and age-period-cohort analysis.
Article in Epidemiology and health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed.
- Group antenatal care positively transforms the care experience: Results of an effectiveness trial in Malawi.PloS one · 2025Trial
- Decline of Parkinson's Disease Incidence in Israel: The Value of Cohort Analysis.Neuroepidemiology · 2026Article
- National Burden of Breast Cancer in Saudi Arabia, 1990-2023, With Forecasts to 2050: A Systematic Analysis for the Global Burden of Disease Study 2023.Evidance health sciences · 2026Article
- Age-period-cohort decomposition and projections of the frailty index among older adults in China.Frontiers in public health · 2026Article
- Global burden, trends, and inequalities of gastric cancer attributable to high-sodium diets: a 30-year analysis and projections based on the global burden of disease 2021 study.Frontiers in nutrition · 2025Article
- GBD: incidence rates and prevalence of anxiety disorders, depression and schizophrenia in countries with different SDI levels, 1990-2021.Frontiers in public health · 2025Article
- [Age-period-cohort Analysis of Change Trend in Drinking Behaviors among Adults in the Republic of Korea].Jugan geon-gang gwa jilbyeong · 2024Article
- Age-period-cohort analysis of smoking prevalence trends among career military personnel in South Korea.Tobacco induced diseases · 2024Article
- Decrease in household secondhand smoking among Korean adolescents associated with smoke-free policies: grade-period-cohort and interrupted time series analyses.Epidemiology and health · 2024Article
- Trends and age-period-cohort effect on dental caries prevalence from 2008 to 2019 among Brazilian preschoolers.Brazilian oral research · 2024Article
- Secular trends in the incidence of major depressive disorder and dysthymia in China from 1990 to 2019.BMC public health · 2023Article
- Descriptive Analysis of Gastric Cancer Mortality in Korea, 2000-2020.Cancer research and treatment · 2023Article
- Historical change in midlife health, well-being, and despair: Cross-cultural and socioeconomic comparisons.The American psychologist · 2021Article
- Recent increase in pertussis incidence in Korea: an age-period-cohort analysis.Epidemiology and health · 2021Article
- Physical Performance in Older Cohorts: A Comparison of 81-Year-Old Swedish Men and Women Born Twelve Years Apart-Results from the Swedish Study "Good Aging in Skåne".Journal of aging research · 2021Article
- Cancer Risk Studies and Priority Areas for Cancer Risk Appraisal in Uganda.Annals of global health · 2020Review
- Age-stratified anti-tuberculosis drug resistance profiles in South Korea: a multicenter retrospective study.BMC infectious diseases · 2020Article
- Article
- Time Trends for Prostate Cancer Incidence from 2003 to 2013 in South Korea: An Age-Period-Cohort Analysis.Cancer research and treatment · 2020Article
- Relationship between incidence and prevalence in psychotic disorders: An incidence-prevalence-mortality model.International journal of methods in psychiatric research · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aims to provide a systematical introduction of age-period-cohort (APC) analysis to South Korean readers who are unfamiliar with this method (we provide an extended version of this study in Korean). As health data in South Korea has substantially accumulated, population-level studies that explore long-term trends of health status and health inequalities and identify macrosocial determinants of the trends are needed. Analyzing long-term trends requires to discern independent effects of age, period, and cohort using APC analysis. Most existing health and aging literature have used cross-sectional or short-term available panel data to identify age or period effects ignoring cohort effects. This under-use of APC analysis may be attributed to the identification (ID) problem caused by the perfect linear dependency across age, period, and cohort. This study explores recently developed three APC models to address the ID problem and adequately estimate the effects of A-P-C: intrinsic estimator-APC models for tabular age by period data; hierarchical cross-classified random effects models for repeated cross-sectional data; and hierarchical APC-growth curve models for accelerated longitudinal panel data. An analytic exemplar for each model was provided. APC analysis may contribute to identifying biological, historical, and socioeconomic determinants in long-term trends of health status and health inequalities as well as examining Korean's aging trajectories and temporal trends of period and cohort effects. For designing effective health policies that improve Korean population's health and reduce health inequalities, it is essential to understand independent effects of the three temporal factors by using the innovative APC models.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.