Domain

Lifestyle

Daily behaviours and habits — smoking, alcohol, activity, sleep — with some of the largest, most consistently replicated evidence bases in longevity research.

SmokingAlcoholSportStepsSleepResistance Training
Filters
Domain (1)
Factor
Tag
Evidence strength
Study type
Publication year
Journal
Clear
6 results

Resistance Training and Mortality Risk: A Systematic Review and Meta-Analysis

Strong
Resistance TrainingMeta-analysisObservational evidenceSelf-report bias
Systematic review & meta-analysis
Any resistance training vs none associated with 15% lower all-cause mortality (RR 0.85, 95% CI 0.77–0.93); dose-response peaked at ~60 min/week (27% reduction)
Causal status: Observational; supported by RCT evidence on intermediate outcomes
Reliability / bias notes: Only 10 cohort studies pooled; self-reported exposure; nonlinear dose-response not fully resolved
Shailendra et al · Am J Prev Med · 2022 · PMID 35599175
Read the study →

Risk thresholds for alcohol consumption: combined IPD analysis of 599,912 current drinkers

Strong
AlcoholConfounding riskObservational evidence
Observational study
Large IPD analysis: mortality lowest around or below 100 g ethanol/week; higher intake progressively associated with lower life expectancy
Causal status: Association; causal interpretation complicated by abstainer/former-drinker bias
Reliability / bias notes: Former-drinker bias; drinking pattern and socioeconomic confounding
Wood et al · Lancet · 2018 · PMID 29676281
Read the study →

Leisure time physical activity and mortality: detailed pooled dose-response relationship

Strong
SportObservational evidenceReverse causation risk
Observational study
Highest vs lowest activity roughly 25–35% lower mortality in major prospective meta-analyses
Causal status: Mostly association; causal support substantial but mortality RCT evidence limited
Reliability / bias notes: Reverse causation; questionnaire error; healthy-user bias
Arem et al · JAMA Intern Med · 2015 · PMID 25844730
Read the study →

Tobacco smoking and all-cause mortality in a large Australian cohort study

Strong
SmokingObservational evidenceReverse causation riskSelf-report bias
Cohort study
Never smoker = reference; current smoking ~2.18–2.81× mortality in large cohorts; former smokers can approach never-smoker risk after prolonged cessation
Causal status: Causal support strong; mortality evidence mostly prospective
Reliability / bias notes: Self-report; pack-years and cessation timing matter; reverse causation can affect recent quitters
Banks et al · BMC Med · 2015 · PMID 25857449
Read the study →