SynthesisAmerican journal of public health2012
Genetic, physiological, and lifestyle predictors of mortality in the general population.
Synthesis in American journal of public health, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 24 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
24 citing papers in PubMed.
- Modifiable risk factors attenuated longevity genetic predisposition on life expectancy in the oldest old.npj aging · 2026Article
- Sex and All-Cause Mortality in the US, 1999 to 2019.JAMA network open · 2026Article
- Refining the generation, interpretation and application of multi-organ, multi-omics biological aging clocks.Nature aging · 2025Article
- Healthy Lifestyle and the Likelihood of Becoming a Centenarian.JAMA network open · 2024Article
- Development and validation of questionnaire-based machine learning models for predicting all-cause mortality in a representative population of China.Frontiers in public health · 2023Article
- The Physical Activity and Exercise as Key Role Topic in Sports Medicine for Old People Quality of Life.Medicina (Kaunas, Lithuania) · 2022Article
- Interpretable machine learning prediction of all-cause mortality.Communications medicine · 2022Article
- Adherence to the Mediterranean diet assessed by a novel dietary biomarker score and mortality in older adults: the InCHIANTI cohort study.BMC medicine · 2021Article
- Biological age in healthy elderly predicts aging-related diseases including dementia.Scientific reports · 2021Article
- A Hypothesis: The Interplay of Exercise and Physiological Heterogeneity as Drivers of Human Ageing.Frontiers in physiology · 2021Article
- An Emergent Integrated Aging Process Conserved Across Primates.The journals of gerontology. Series A, Biological sciences and medical sciences · 2019Review
- Observational
- Mortality is associated with inflammation, anemia, specific diseases and treatments, and molecular markers.PloS one · 2017Article
- Kidney Function and Disability-Free Survival in Older Women.Journal of the American Geriatrics Society · 2017Article
- Genome-Wide Scan Informed by Age-Related Disease Identifies Loci for Exceptional Human Longevity.PLoS genetics · 2015Article
- The Rotterdam Study: 2016 objectives and design update.European journal of epidemiology · 2015Article
- Saguenay Youth Study: a multi-generational approach to studying virtual trajectories of the brain and cardio-metabolic health.Developmental cognitive neuroscience · 2015Article
- Physical capability in mid-life and survival over 13 years of follow-up: British birth cohort study.BMJ (Clinical research ed.) · 2014Article
- Heritability of and mortality prediction with a longevity phenotype: the healthy aging index.The journals of gerontology. Series A, Biological sciences and medical sciences · 2014Article
- The Rotterdam Study: 2014 objectives and design update.European journal of epidemiology · 2013Article
Corrections and comments
- Erratum issued
Authors and funding
19 authors.
Funding
Abstract
objectivesWe investigated the quality of 162 variables, focusing on the contribution of genetic markers, used solely or in combination with other characteristics, when predicting mortality.
methodsIn 5974 participants from the Rotterdam Study, followed for a median of 15.1 years, 7 groups of factors including age and gender, genetics, socioeconomics, lifestyle, physiological characteristics, prevalent diseases, and indicators of general health were related to all-cause mortality. Genetic variables were identified from 8 genome-wide association scans (n = 19,033) and literature review.
resultsWe observed 3174 deaths during follow-up. The fully adjusted model (C-statistic for 15-year follow-up [C15y] = 0.80; 95% confidence interval [CI] = 0.79, 0.81) predicted mortality well [corrected]. Most of the additional information apart from age and sex stemmed from physiological markers, prevalent diseases, and general health. Socioeconomic factors and lifestyle contributed meaningfully to mortality risk prediction with longer prediction horizon. Although specific genetic factors were independently associated with mortality, jointly they contributed little to mortality prediction (C(15y) = 0.56; 95% CI = 0.55, 0.57).
conclusionsMortality can be predicted reasonably well over a long period. Genetic factors independently predict mortality, but only modestly more than other risk indicators.
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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.