ArticleAging2019
Measuring successful aging: an exploratory factor analysis of the InCHIANTI Study into different health domains.
Article in Aging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed.
- Lifestyle and psychosocial protective factors drive healthy aging and modulate inflammatory and metabolic pathways.GeroScience · 2026Article
- Functional, molecular, and digital measurements of biological age.The Journal of clinical investigation · 2026Review
- Strength, Jump Height, Landing, and Mobility Metrics Predict High and Low Performers of a Fire and Move Assessment: A Machine Learning Approach.Medicine and science in sports and exercise · 2025Article
- The Dynamics Between Responses to Aging Restrictions and Day-to-Day Functioning as a Key to Successful Aging.Behavioral sciences (Basel, Switzerland) · 2025Article
- Aging dimensions and markers as relative predictors of mortality in a longitudinal epidemiological sample.PloS one · 2025Article
- Muscle Quality and Physical Function in Men With and Without HIV.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024Article
- Sex-Specific Association of Low Muscle Mass with Depression Status in Asymptomatic Adults: A Population-Based Study.Brain sciences · 2024Article
- Lifestyle, Cognitive, and Psychological Factors Associated With a Resilience Phenotype in Aging: A Multidimensional Approach on a Population-Based Sample of Oldest-Old (80+).The journals of gerontology. Series B, Psychological sciences and social sciences · 2024Observational
- The effect of body mass index on self-rated health in middle-aged and older adults: evidence from the China health and retirement longitudinal study.Aging clinical and experimental research · 2023Article
- Measuring healthy ageing: current and future tools.Biogerontology · 2023Review
- Faster Walking Speeds Require Greater Activity from the Primary Motor Cortex in Older Adults Compared to Younger Adults.Sensors (Basel, Switzerland) · 2023Article
- Successful Aging Perception in Middle-Aged Korean Men: A Q Methodology Approach.International journal of environmental research and public health · 2021Article
- Article
- Factors Associated with Successful Aging among Community-Dwelling Older Adults Based on Ecological System Model.International journal of environmental research and public health · 2020Article
- Determinants and indicators of successful ageing associated with mortality: a 4-year population-based study.Aging · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Advocating continued health into old age, so called successful aging, is a growing public health goal. However, the development of tools to measure aging is limited by the lack of appropriate outcome measures, and operational definitions of successful aging. Using exploratory factor analysis, we attempted to identify distinguishable health domains with representative variables of physical function, cognitive status, social interactions, psychological status, blood biomarkers, disease history, and socioeconomic status from the InCHIANTI study. We then used logistic and mixed effect regression models to determine whether the resulting domains predicted outcomes of successful aging over a nine-year follow-up. A four-domain health model was identified: neuro-sensory function, muscle function, cardio-metabolic function and adiposity. After adjustment for age and gender, all domains contributed to the prediction of walking speed (R
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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.