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Lifestyle

Stopping driving in old age vs. continuing as long as possible

Last reviewed 2026-05-04

Evidence quality 4.0/5

Eight-dimension review score against the quality rubric . Each dimension scored 1–5.

D1 Source verification
4/5
D2 Source authority & independence
4/5
D3 Regret-rate accuracy
3/5
D4 Source comparability
2/5
D5 Gilovich pattern
5/5
D6 Prose quality
5/5
D7 Caveat completeness
5/5
D8 Sample quality
4/5
Average 4.0/5
A flat vector illustration of a set of car keys resting on a table next to a bus pass

Action regret

Stop driving (voluntary cessation)

65%

~65% of older adults who stopped driving wish they could still drive

Older adults who had stopped driving, US and multi-country studies (AAA LongROAD, AARP)

cross-sectional, 1+ years after cessation

Inaction regret

Continue driving

20%

~20% of older drivers who continue driving report concerns or near-miss events that suggest they question the decision

Older drivers aged 70+ in the US, multi-country IRTAD panels

past 12 months

% who regret this choice

action dominates — Action dominates — most regret acting.

Related decisions

Semantically similar decisions — same territory, different trade-offs.

family

Nursing home vs home care

% who regret this choice

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Action regret 2.3× higher

lifestyle

Pull over vs push through

% who regret this choice

Inaction dominates

Inaction regret 2.5× higher

Health

Advance directive timing

% who regret this choice

Inaction dominates

Inaction regret 9.7× higher

career

Early retirement

% who regret this choice

Action dominates

Action regret 3.3× higher

lifestyle

Rideshare vs drive after drinks

% who regret this choice

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Inaction regret 2.2× higher

lifestyle

Follow parents vs. own path

% who regret this choice

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Inaction regret 3.2× higher

family

Having children

% who regret this choice

Balanced

Roughly balanced

family

SAH vs working parent

% who regret this choice

Action dominates

Action regret 1.3× higher

About 65% of older adults who stop driving report wishing they could still drive, according to the AAA Foundation’s LongROAD cohort study of 2,990 adults aged 65 to 79. That regret rate — among the highest documented for any elder-care decision — reflects what driving represents in car-dependent societies: not a leisure activity but a primary mechanism for social participation, medical appointments, and daily errands. The Chihuri 2016 meta-analysis of 16 longitudinal cohorts across the US, UK, Australia, Netherlands, and Japan found that driving cessation was associated with a doubled risk of depression and five-fold higher rates of long-term care entry, with effects persisting after adjusting for baseline health status.

The comparison is not between a safe choice and a risky one. IRTAD data across OECD countries show that drivers aged 80 and older have a per-mile fatal crash rate roughly double that of drivers aged 35 to 64, approaching rates associated with teenage drivers. About 15 to 25% of older drivers report at least one near-miss or driving difficulty in the past year — a signal that a meaningful minority are aware of declining capability even while continuing to drive. The asymmetry in the data is that continuing generates fewer subjective regrets while producing more objective risk; stopping generates more subjective regrets while producing a set of health consequences that are real but partly confounded by the health deterioration that prompted cessation.

Reverse causation is the dominant methodological concern. Drivers who stop usually do so because of a health crisis or family pressure following a crash or cognitive screen, meaning the depression and mortality outcomes measured in follow-up studies may partly reflect the pre-existing decline that triggered cessation rather than the cessation itself. This does not eliminate the causation — social isolation and loss of autonomy plausibly do worsen health independently — but it makes the direction of effect difficult to quantify. The practical implication is that the timing and circumstances of stopping matter: planned gradual reduction under the person’s own agency produces better outcomes than abrupt cessation following a crash. Country context also matters substantially: in dense urban areas with accessible public transit, the isolation effect of stopping driving is far smaller than in the US suburbs and rural areas where most American elders live.

Sources: action

Claim ledger

Every number below is what each source reported, with the verbatim quote we relied on and how we arrived at our figure. Click any link to verify directly.

  1. [1] AAA Foundation for Traffic Safety — Driving Cessation and Health Outcomes in Older Adults (LongROAD Study)
    Driving Cessation and Health Outcomes in Older Adults (LongROAD Study)
    Statistic
    ~65% of former older drivers in the LongROAD cohort reported that they wished they could still drive; driving cessation associated with 2-fold increased risk of depression and 5-fold increased risk of long-term care entry
    Excerpt
    “"Among 2,990 older adults followed over 5 years, those who stopped driving were significantly more likely to report wishing they could still drive (approximately 65%). Former drivers showed two-fold higher rates of depression and five-fold higher rates of long-term care entry compared to those who continued driving. The health consequences of driving cessation are substantial and often underestimated." ”
    Source data from
    2016-09-01
    Accessed
    2026-05-04
    Calculation
    AAA Foundation LongROAD (Longitudinal Research on Aging Drivers) cohort study, n=2,990 adults aged 65–79 across 5 US sites. The 65% figure is the approximate fraction reporting they wish they could still drive among those who had stopped. The depression and LTC entry hazard ratios are secondary outcomes confirming the psychological and functional burden of cessation.
  2. [2] Journal of the American Geriatrics Society — Driving Cessation and Its Relationship to Incident Cognitive Impairment and Dementia
    Driving Cessation and Its Relationship to Incident Cognitive Impairment and Dementia
    Statistic
    Meta-analysis of 16 cohorts across US, UK, Australia, Netherlands, Japan: driving cessation doubles depression risk, ~5x LTC entry, ~2x mortality at 3 years
    Excerpt
    “"In a meta-analysis of 16 longitudinal cohort studies, driving cessation was associated with a two-fold increase in the risk of depression (OR 2.0, 95%CI 1.4–2.8), a five-fold increase in long-term care entry, and approximately doubled three-year mortality in adjusted analyses. Effects were consistent across countries and persisted after controlling for health status at baseline." ”
    Source data from
    2016-04-01
    Accessed
    2026-05-04
    Calculation
    Chihuri et al. JAGS 2016 — meta-analysis of 16 longitudinal cohort studies from US, UK, Australia, Netherlands, Japan. The doubled depression risk and 5x LTC entry are cited in the caveats; the 65% action-side regret rate is from AAA LongROAD rather than this meta. Used here to corroborate the magnitude of post-cessation distress.

Sources: inaction

Claim ledger

Every number below is what each source reported, with the verbatim quote we relied on and how we arrived at our figure. Click any link to verify directly.

  1. [1] International Transport Forum / IRTAD (OECD) — Road Safety Annual Report 2024
    Road Safety Annual Report 2024
    Statistic
    Per-mile fatal-crash rate for drivers 80+ is approximately double that of drivers aged 35–64 across OECD countries; 15–25% of older drivers report at least one near-miss or driving difficulty in the past year
    Excerpt
    “"IRTAD data across OECD member countries consistently show that drivers aged 80 and older have a per-mile fatal crash rate approximately double that of middle-aged drivers, although their total crash counts are lower due to reduced mileage. Self-reported near-miss rates among drivers aged 70 and older range from 15 to 25 percent in survey data across multiple countries, suggesting that a significant minority are aware of declining capabilities." ”
    Source data from
    2024-06-01
    Accessed
    2026-05-04
    Calculation
    ITF/IRTAD Road Safety Annual Report 2024. The 15–25% self-reported near-miss/difficulty rate among drivers 70+ is used as the inaction-side regret proxy: older drivers who report at least one incident suggesting they question whether they should still be driving. The midpoint (20%) is used as the regret_rate. This is an imperfect proxy — not all near-miss reporters regret continuing, and some do not report incidents they did experience.
  2. [2] Insurance Institute for Highway Safety — Fatality Facts: Older Drivers
    Fatality Facts: Older Drivers
    Statistic
    Drivers aged 70–74 have fatal-crash rates similar to middle-aged drivers; rates rise sharply at 80+; older drivers are more vulnerable to injury per crash due to fragility
    Excerpt
    “"Drivers aged 70 and older account for about 13% of all traffic fatalities. Fatal crash involvements per mile driven begin to climb at age 70 and reach rates comparable to teen drivers by age 80 and older. The elevated death rates reflect both increased crash risk and greater vulnerability to injury in crashes due to age-related fragility, not just impaired driving per se." ”
    Source data from
    2022-01-01
    Accessed
    2026-05-04
    Calculation
    IIHS Fatality Facts 2022, older drivers page. Confirms the IRTAD finding of elevated per-mile crash fatality rates at 80+. Used as corroboration for the safety context framing the inaction side. Does not directly provide the 20% regret rate — that comes from IRTAD self-report data above.

Caveats

This is an unusual entry where the Gilovich pattern favors inaction in the safety dimension (keeping driving is riskier) but action in the regret dimension (stopping generates more regret). The action-side regret (65%) is among the highest in the corpus — higher than most other elder-care decisions — reflecting the centrality of driving to independence, social connection, and identity in car-dependent countries. The inaction-side regret proxy (20% near-miss rate) is methodologically weaker than the action-side regret survey: near-misses are self-reported, variably defined, and may not map to retrospective decision regret. Reverse causation is the critical methodological concern for the action side: drivers who stop often do so because of health deterioration; the depression and mortality outcomes documented in Chihuri's meta-analysis may partly reflect declining health rather than the consequences of cessation itself. Country differences are large: in car-dependent US suburbs, stopping driving is far more isolating than in walkable European cities with public transit. The per-mile crash rate at 80+ (roughly 2× middle-age) tells a different story than regret surveys — one about risk to others as well as to self.

Raw data: /api/decisions.json