ArticleScientific reports2018
Lifestyle index for mortality prediction using multiple ageing cohorts in the USA, UK and Europe.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- The Utility of Measures of Physical Behavior, Function, and Fitness as Predictors of Mortality.Mayo Clinic proceedings. Innovations, quality & outcomes · 2026Article
- Photoreceptor metabolic window unveils eye-body interactions.Nature communications · 2025Article
- On the use of the healthy lifestyle index to investigate specific disease outcomes.Scientific reports · 2024Article
- Healthy Lifestyle and the Likelihood of Becoming a Centenarian.JAMA network open · 2024Article
- Socioeconomic, Disease Burden, Physical Functioning, Psychosocial, and Environmental Factors Associated With Mortality Among Older Adults: The Brazilian Longitudinal Study of Ageing (ELSI-Brazil).Journal of aging and health · 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
- Comparison of Machine Learning Techniques for Mortality Prediction in a Prospective Cohort of Older Adults.International journal of environmental research and public health · 2021Article
- Is lifestyle change around retirement associated with better physical performance in older age?: insights from a longitudinal cohort.European journal of ageing · 2021Article
- Article
- The iMPROVE Study; Design, Dietary Patterns, and Development of a Lifestyle Index in Overweight and Obese Greek Adults.Nutrients · 2021Article
- Insomnia as a predictor of diagnosed memory problems: 2006-2016 Health and Retirement Study.Sleep medicine · 2021Article
- Serum free thiols predict cardiovascular events and all-cause mortality in the general population: a prospective cohort study.BMC medicine · 2020Article
- Correlates of poor adherence to a healthy lifestyle among a diverse group of colorectal cancer survivors.Cancer causes & control : CCC · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Current mortality prediction indexes are mainly based on functional morbidity and comorbidity, with limited information for risk prevention. This study aimed to develop and validate a modifiable lifestyle-based mortality predication index for older adults. Data from 51,688 participants (56% women) aged ≥50 years in 2002 Health and Retirement Study, 2002 English Longitudinal Study of Ageing and 2004 Survey of Health Ageing and Retirement in Europe were used to estimate coefficients of the index with cohort-stratified Cox regression. Models were validated across studies and compared to the Lee index (having comorbid and morbidity predictors). Over an average of 11-year follow-up, 10,240 participants died. The lifestyle index includes smoking, drinking, exercising, sleep quality, BMI, sex and age; showing adequate model performance in internal validation (C-statistic 0.79; D-statistic 1.94; calibration slope 1.13) and in all combinations of internal-external cross-validation. It outperformed Lee index (e.g. differences in C-statistic = 0.01, D-statistic = 0.17, P < 0.001) consistently across health status. The lifestyle index stratified participants into varying mortality risk groups, with those in the top quintile having 13.5% excess absolute mortality risk over 10 years than those in the bottom 50th centile. Our lifestyle index with easy-assessable behavioural factors and improved generalizability may maximize its usability for personalized risk management.
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.