All-cause mortality is death from any cause, used in research as a broad, comparatively unbiased outcome measure, unlike tracking a single specific disease, it isn't affected by how individual deaths get classified or attributed across different causes. Three markers tracked in Longevity Coach IQ connect to genuinely well-cited all-cause mortality research, one of which comes from a strikingly simple test you can do on your living room floor.
- Sit-to-stand score: 21% higher mortality per point lost, rising to roughly 5.4x in the lowest-scoring group (Brito et al., 2014).
- Each 1-point decrease in that score is associated with 21% higher all-cause mortality.
- VO2 Max is one of the most consistently replicated mortality predictors in exercise physiology.
- Compound strength independently predicts frailty and mortality risk in older adults.
The sit-to-stand test finding
The sitting-rising test scores how much hand or knee support you need to sit down on the floor and stand back up, out of ten points. Brito and colleagues reported in 2014 that each single-point decrease was associated with 21% higher all-cause mortality, a hazard ratio of 1.21.
The banded figures matter more than that average, because the risk is graded rather than switching on at any threshold. Against a reference group scoring 8–10, the multivariate-adjusted hazard ratios were:
| Score band | Adjusted hazard ratio | 95% CI |
|---|---|---|
| 0–3 | 5.44 | 3.1–9.5 |
| 3.5–5.5 | 3.44 | 2.0–5.9 |
| 6–7.5 | 1.84 | 1.1–3.0 |
| 8–10 | reference | — |
Read the middle band carefully. Someone scoring 6 or 7 is below 8, and carries a hazard ratio of 1.84 rather than anything close to five. The large risk belongs to the bottom band only.
It is a remarkable finding for a test requiring no equipment and under a minute. It is also built on a much narrower base than the other markers on this page, which is the next section.
Honesty note on the evidence base
This page ranks predictors by evidence strength, so it should rank its own. The sitting-rising test does not sit in the same tier as cardiorespiratory fitness or grip strength, and the gap is large.
| Marker | Cohort | Deaths |
|---|---|---|
| Sitting-rising test | 2,002 adults aged 51–80, single clinic | 159 |
| VO2 Max | 122,007 consecutive patients | 13,637 |
| Grip strength | 139,691 adults, 17 countries | — |
The 2014 cohort was 68% men, followed for a median 6.3 years, and recruited from a single exercise-medicine clinic in Rio de Janeiro, meaning a self-selected population attending for fitness evaluation.
More importantly, all of the sitting-rising mortality literature comes from the same research group. There is no independent replication by another team in another population. That is a materially different position from a marker replicated across dozens of independent cohorts.
None of which makes it uninteresting. It is a cheap, integrative test with a striking single-cohort finding and a plausible mechanism. It is not established to the degree cardiorespiratory fitness is, and this page should not imply otherwise.
The 2025 follow-up
The same group has since published a longer analysis, with a mean follow-up of 12.9 years and 302 deaths, roughly double the 2014 paper on both counts.
Death rates across the five score groups, highest to lowest, ran 3.7%, 7.0%, 11.1%, 20.4% and 42.1%. Comparing the highest against the lowest group, multivariate-adjusted hazard ratios were 3.84 (95% CI 2.25–6.97) for natural mortality and 6.05 (95% CI 2.29–20.94) for cardiovascular mortality. Intermediate scores of 4.5–7.5 carried 2.23 and 3.25 respectively.
That cardiovascular confidence interval, running from 2.29 to 20.94, is worth showing rather than rounding away. An interval that wide tells you how few events sit behind the estimate.
The authors' own comparison is the useful one. A low score of 0–4 against 10 carried a 3.8-fold higher risk of natural death, which their secondary analysis found comparable to the 3.4-fold risk associated with a history of coronary artery disease, both adjusted for age, sex and BMI.
How the test is scored, and what a normal score is
Start standing. Sit down to the floor, then return to standing. You begin with ten points and subtract one for each hand or knee used for support, and half a point for any visible loss of balance.
What a given score means depends on your age and sex. Araújo and colleagues published sex- and age-reference scores derived from 6,141 adults in 2020, and those are the right comparison to make.
The 8-point figure from the 2014 study is an analysis category rather than a norm. A 68-year-old woman scoring 7 is being measured against a study design, not against her peers, and the two give different answers.
VO2 Max and compound strength
VO2 Max, the maximum rate the body can use oxygen during intense exercise, is one of the most consistently replicated predictors of all-cause mortality across the exercise physiology literature, in some studies found to be a stronger predictor than traditional risk factors like smoking status. Muscular strength and muscular power both predict frailty and mortality in older adults, and the evidence sits on those capacities rather than on any particular lift.
That distinction is worth making precisely. The mortality data comes from grip strength, from general muscle strength, and from relative muscle power. It does not come from barbell numbers. Compound lifts are a reasonable practical way to build and to measure the underlying capacity, and describing them in the language of mortality evidence that belongs to a different measure would be overstating what is known.
Power looks like the stronger signal of the two. In one analysis, muscle power measured by sit-to-stand carried hazard ratios comparing lowest to highest categories of 5.88 (2.28–15.17) in men and 6.90 (1.61–29.58) in women. The corresponding figures for relative strength in the same analysis were 1.62 (0.89–2.96) and 1.71 (0.61–4.80), neither statistically significant.
The measurable predictors, ranked by strength
A large number of things correlate with mortality. A much smaller number are both strongly predictive and measurable without a laboratory, and that intersection is what Longevity Coach IQ scores against.
The strongest measurable predictors
- Smoking status. Nothing else on this list approaches it. For anyone who smokes, this is the entire conversation and the rest is rounding error.
- Cardiorespiratory fitness. VO2 Max shows one of the steepest gradients in the literature, and the largest gains come from moving out of the bottom quartile rather than from reaching elite values. In Mandsager 2018, the adjusted hazard ratios for the traditional risk factors were 1.41 (1.36–1.46) for smoking, 1.40 for diabetes and 1.29 (1.24–1.35) for coronary artery disease, and low fitness carried greater risk than any of them (Mandsager 2018; Kodama 2009).
- Muscular strength. Grip strength predicts independently of fitness, which is why both are scored. It functions as a proxy for total muscle mass and neurological integrity (Leong 2015, PURE, 139,691 adults across 17 countries).
- Blood pressure. Cumulative exposure across midlife rather than any single reading, acting through atherosclerosis and cerebrovascular damage. Sourced on the blood pressure entry.
- Metabolic markers. HbA1c and fasting insulin, with fasting insulin rising years earlier. Sourced on those entries.
- Atherogenic particle count. ApoB, which tracks cardiovascular risk more directly than total cholesterol. Sourced on the ApoB entry.
Where a claim above is sourced by an internal link rather than a citation here, it is only as well supported as that entry’s own sourcing. The linked entries carry the primary references.
Strong predictors that are harder to act on
Social isolation shows associations comparable in size to several established clinical risk factors, and it is neither easily measured nor readily prescribed. Sleep duration follows a U-shaped curve where the long-sleep end is probably reverse causation. Socioeconomic status predicts strongly and isn’t an individual intervention at all.
The interpretation problem
These are observational associations, and the distinction from causation isn’t academic here. Training specifically to improve a test score can raise the number through practice effects without changing the underlying capacity the test was standing in for.
This is the strongest argument for training the capacity rather than the metric. Improve cardiorespiratory fitness and the VO2 Max figure follows. Rehearse a sit-to-stand test until the movement is efficient and the score improves without anything else having changed. The app scores the markers because they are the visible part; the work is the thing underneath.
Three predictors, side by side
| Marker | Key Finding |
|---|---|
| Sit-to-stand score | 21% higher mortality per 1-point decrease; HR 5.44 for the lowest band (0–3), 1.84 for 6–7.5 |
| VO2 Max | Among the most consistently replicated mortality predictors, sometimes stronger than smoking status |
| Compound strength | A practical way to build and measure muscular strength and power, which are what the mortality evidence covers |
What to do with these markers
Most consumer health content rarely cites the mortality research behind why a marker matters, which leaves the connection vague. Every marker here has cited research behind it, and several of the strongest need no laboratory at all.
Test your sit-to-stand score periodically. Floor mobility and balance training are the direct levers if you are scoring below 8. Gait speed, grip strength and single-leg balance each carry mortality associations from large cohorts, and each takes under a minute.
For the two that need training rather than testing, consistent aerobic work raises VO2 Max and progressive resistance training builds compound strength. Both are covered in their own entries.
Longevity Coach IQ tracks all three mortality-linked markers, each cited to real research.
Sources
Key references for the claims on this page. Where a figure is attributed to a specific study or body, it is named here.
- Brito LBB, Ricardo DR, Araújo DSMS, Ramos PS, Myers J, Araújo CGS. Ability to sit and rise from the floor as a predictor of all-cause mortality. Eur J Prev Cardiol. 2014;21(7):892–898. 2,002 adults aged 51–80, median follow-up 6.3 years, 159 deaths. Source of the banded hazard ratios above. DOI · PMID 23242910
- Araújo CGS, de Souza e Silva CG, Myers J, Laukkanen JA, Ramos PS, Ricardo DR. Sitting–rising test scores predict natural and cardiovascular causes of deaths in middle-aged and older men and women. Eur J Prev Cardiol. Mean follow-up 12.9 years, 302 deaths. Source of the 2025 follow-up figures. DOI
- Mandsager K, Harb S, Cremer P, Phelan D, Nissen SE, Jaber W. Association of cardiorespiratory fitness with long-term mortality among adults undergoing exercise treadmill testing. JAMA Netw Open. 2018;1(6):e183605. 122,007 patients, 13,637 deaths. Source of the hazard ratios for smoking, diabetes and coronary artery disease. DOI
- Kodama S, Saito K, Tanaka S, et al. Cardiorespiratory fitness as a quantitative predictor of all-cause mortality and cardiovascular events in healthy men and women: a meta-analysis. JAMA. 2009;301(19):2024–2035.
- Leong DP, Teo KK, Rangarajan S, et al. Prognostic value of grip strength: findings from the Prospective Urban Rural Epidemiology (PURE) study. The Lancet. 2015;386:266–273. 139,691 adults across 17 countries. PMID 25982160
- Araújo CGS, Castro CLB, Franca JFC, Araújo DSMS. Sitting–rising test: sex- and age-reference scores derived from 6141 adults. Eur J Prev Cardiol. 2020;27(8):888–890. The reference scores that age-band the raw result.
- Holt-Lunstad J, Smith TB, Layton JB. Social relationships and mortality risk: a meta-analytic review. PLoS Medicine, 2010. DOI
Frequently asked
Which factor is most likely to impact longevity?
Among modifiable factors, not smoking sits at the top, followed by cardiorespiratory fitness. For someone who already doesn’t smoke, moving out of the bottom quartile of fitness carries the largest measurable effect of anything on this site.
What is all-cause mortality risk?
Death from any cause, a broad, comparatively unbiased outcome measure used in research.
How strong is the sit-to-stand test as a predictor?
Each single-point decrease was associated with 21% higher all-cause mortality. Against a reference of 8–10, the adjusted hazard ratios were 1.84 for scores of 6–7.5, 3.44 for 3.5–5.5 and 5.44 for 0–3, so the risk is graded rather than switching on below 8. It rests on a single cohort of 2,002 adults with 159 deaths, which is a thinner evidence base than VO2 Max or grip strength (Brito et al., 2014).
Is VO2 Max stronger than smoking as a predictor?
In Mandsager 2018, covering 122,007 patients, the adjusted hazard ratios were 1.41 (1.36–1.46) for smoking, 1.40 for diabetes and 1.29 (1.24–1.35) for coronary artery disease. The mortality risk associated with low cardiorespiratory fitness was greater than that associated with any of them.
What does all-cause mortality actually mean?
Death from any cause, rather than from one specific disease. It’s used because disease-specific measures can mislead: an intervention that reduces deaths from one condition while increasing them from another looks good on a narrow endpoint and bad on this one. All-cause is the harder test to pass.
Why do such simple tests predict so much?
Because they are integrative. Standing up from the floor requires leg strength, balance, coordination, joint range, and enough cardiovascular capacity to not be limited by it. A test that quietly samples many systems at once carries more information than its simplicity suggests.
If I improve my score on one of these tests, does my risk actually fall?
Not automatically, and this is the most important caveat on the page. These are observational associations. Training a test can improve the score through practice effects without changing the underlying capacity it was standing in for. The reasonable interpretation is to train the capacity and let the score follow.
Which single factor is the strongest predictor?
Cardiorespiratory fitness is consistently among the strongest measurable predictors in the literature, which is why VO2 Max carries substantial weight in the scoring. Ranking predictors precisely against each other is harder than it looks, because the studies behind them use different populations and follow-up periods.
Should I worry if I score badly on just one of them?
A single measurement is noisy. Illness, poor sleep, an unfamiliar test protocol, or simply a bad day all move these numbers. A repeated low score across several weeks is worth acting on. One low reading is worth retesting before drawing any conclusion from it.