Frailty Intervention Trial (FIT)
Read full paper →- Authors
- Nicola Fairhall, Christina Aggar, Susan Kurrle, Catherine Sherrington, Stephen R. Lord, Keri Lockwood, Noeline Monaghan, Ian D. Cameron
- Journal
- BMC Geriatrics
- Year
- 2008
- Citations
- 161
TL;DR
This study protocol describes a randomised controlled trial testing whether a multidisciplinary, individually-tailored intervention can reverse the frailty syndrome in older adults—measured by weight loss, weakness, exhaustion, slow walking, and low activity—and whether it reduces hospitalisation and nursing home admission over 12 months.
What they tested
The intervention was a **multidisciplinary, multifactorial program** that targeted each of the five Fried frailty criteria (unexplained weight loss, muscle weakness, self-reported exhaustion, slow walking speed, low physical activity) plus functional limitations, nutritional status, falls risk, psychological issues, and chronic disease management. The comparator was **usual care**—meaning the participant's general practitioner (GP), community services, and any home visiting programs already available.
The primary outcomes were:
**Frailty index score** (number of Fried criteria met, 0–5 scale)
**Mobility index score** (calculated from the Short Physical Performance Battery, or SPPB)
Secondary outcomes included:
Days of hospitalisation
Admission to a nursing care facility
Risk of falling
Additional mobility measures
Depression
Quality of life
Who was studied
The study aimed to recruit **230 people** aged **70 years or older** who met at least **3 of the 5 Fried frailty criteria**. Participants were recruited from clients of the Division of Rehabilitation and Aged Care Services (DRACS) at Hornsby Ku-ring-gai Health Service in urban northern Sydney, Australia.
Inclusion criteria:
Age 70+
3+ Fried frailty criteria
Not living in a residential aged care facility
Residing in Hornsby or Ku-ring-gai local government areas
No severe cognitive impairment (Mini Mental State Examination score >18)
Not an ongoing client of DRACS
No illness with life expectancy <12 months
Exclusion criteria:
Nursing home residents (because one outcome was admission to nursing care)
Severe cognitive impairment (MMSE ≤18)
Terminal illness
How they measured it
**Frailty status:** The Fried frailty criteria—five components each scored 0 or 1 (total 0–5). The five criteria are:
1. Unexplained weight loss (≥4.5 kg in past year)
2. Muscle weakness (lowest 20% of grip strength, adjusted for sex and BMI)
3. Self-reported exhaustion (based on CES-D depression scale items)
4. Slow walking speed (lowest 20% of time to walk 4.6 metres, adjusted for sex and height)
5. Low physical activity (lowest 20% on a validated activity scale, adjusted for sex)
**Mobility:** Short Physical Performance Battery (SPPB)—a composite of balance, gait speed, and chair stand tests (0–12 scale, higher = better)
**Cognitive function:** Mini Mental State Examination (MMSE, 0–30, higher = better)
**Falls and healthcare use:** Monthly calendars posted by participants, recording falls, hospitalisations, nursing home admissions, GP visits, community services use
**Depression and quality of life:** Standardised questionnaires (specific instruments not detailed in the protocol)
**Telephone follow-up:** If calendars were not returned or a fall/hospitalisation occurred
Methodology
**Study design:** Single-centre, parallel-group randomised controlled trial (RCT) with 12-month follow-up.
**Randomisation:** Participants were individually randomised to either the multidisciplinary intervention or usual care after baseline assessment. The randomisation method is not described in detail in this protocol paper, but the trial registration (ACTRN12608000250336) would specify the sequence generation and allocation concealment.
**Blinding:** Outcome assessors were blinded to group allocation. Participants and treating clinicians could not be blinded due to the nature of the intervention (you cannot hide whether someone is receiving a multidisciplinary program vs. usual care). This is a common limitation in complex intervention trials.
**Duration:** 12 months of follow-up, with outcome assessments at baseline, 3 months, and 12 months.
**Statistical approach:** The primary analysis would compare the intervention and control groups on the frailty index score and SPPB mobility score at 12 months, using intention-to-treat analysis (analysing everyone in the group they were randomised to, regardless of adherence).
**What this design can and cannot prove:**
**Can prove:** Causal effects of the intervention on frailty, mobility, hospitalisation, and nursing home admission—because randomisation balances known and unknown confounders between groups.
**Cannot prove:** Which specific component of the multidisciplinary intervention was responsible for any observed effects (e.g., was it the exercise, the nutrition advice, the falls prevention, or the chronic disease management?). The design tests the whole package, not individual ingredients.
**Cannot prove:** Long-term effects beyond 12 months, or effects in populations not studied (e.g., younger adults, people with severe cognitive impairment, those living in rural areas).
**Cannot prove:** Mechanisms—why the intervention worked or didn't work.
**Major methodological weaknesses (from the protocol):**
Single centre (limits generalisability)
No blinding of participants or treating clinicians (possible performance bias)
The intervention is complex and individualised, making replication difficult
The primary outcomes are composite scores, which can be harder to interpret than single metrics
The study is powered for the primary outcomes, but secondary outcomes (hospitalisation, nursing home admission) may be underpowered
Key findings
**Important note:** This is a **study protocol**—it describes the planned methods, not the results. The actual results were published later. However, the protocol itself provides useful information about the intervention design and measurement approach.
**What the protocol tells us:**
The Fried frailty criteria were chosen because they are empirically validated and independently predict falls, worsening mobility, functional decline, hospitalisation, and death over 3 years (from the Cardiovascular Health Study).
In the original Fried study, 7% of community-dwelling adults over 65 met frailty criteria, prevalence doubled every 5 years, and was twice as high in women.
Of people who were frail, 73% also had disability or comorbidity.
Previous interventions (comprehensive geriatric assessment, rehabilitation models) had inconclusive effects on function.
A systematic review found that community-based multifactorial interventions reduce hospital admission but do not significantly improve physical function in frail populations.
Exercise programs alone improve physical function, and exercise plus nutritional supplements increase energy intake.
Effect magnitude
Since this is a protocol paper, no results are reported. However, the authors hypothesised that the intervention would:
Improve the frailty index score (reduce the number of Fried criteria met)
Improve the SPPB mobility score (by a clinically meaningful amount, typically 0.5–1.0 points on the 0–12 scale)
Reduce days of hospitalisation and nursing home admission
Reduce falls risk
For context from other studies:
The Fried frailty criteria predict a 3-year risk of first fall of ~30%, worsening mobility in ~40%, and death in ~15% among frail older adults.
A 1-point improvement on the SPPB is associated with a 10–15% reduction in mortality risk.
Multifactorial interventions in frail older adults typically reduce hospital admission rates by 15–25% over 12 months.
Limitations
**Acknowledged by authors:**
The study is a single-centre trial, limiting generalisability
The intervention is complex and individualised, making it harder to replicate
The Fried criteria, while validated, may not capture all aspects of frailty (e.g., cognitive or social frailty)
The study excludes people with severe cognitive impairment, so results may not apply to that group
**Critical reader notes:**
**No blinding of participants or clinicians:** This is a major source of potential bias. Participants who know they are getting an "active" intervention may report better outcomes (placebo effect), and clinicians may unconsciously provide better care to the intervention group.
**Self-reported outcomes:** Falls, hospitalisations, and nursing home admissions rely on participant-completed calendars and self-report, which can be inaccurate (especially in older adults with memory issues).
**Attrition risk:** Over 12 months in a frail older population, dropout due to death, illness, or nursing home admission could be high, potentially biasing results if not handled properly with intention-to-treat analysis.
**No cost-effectiveness analysis:** The protocol does not mention measuring the cost of the intervention, which is critical for deciding whether it's worth implementing.
**The intervention is "black box":** Because it's individualised, two participants could receive very different treatments, making it unclear what the "active ingredient" is.
**Sample size:** 230 participants is modest for detecting differences in hospitalisation or nursing home admission (which are relatively rare events). The study is likely powered only for the frailty and mobility outcomes.
Practical takeaways
For someone running their own n=1 experiment to reverse frailty-like symptoms:
**What to test:**
A **multidisciplinary approach** targeting all five Fried frailty domains simultaneously:
1. **Weight loss:** Nutritional assessment and supplementation (protein, calories, vitamins)
2. **Muscle weakness:** Progressive resistance training (2–3x/week, focusing on major muscle groups)
3. **Exhaustion:** Address underlying causes (sleep, nutrition, depression, chronic disease)
4. **Slow walking speed:** Gait training and balance exercises (e.g., walking program, tai chi)
5. **Low physical activity:** Structured activity plan (e.g., 30 min walking daily, plus strength training)
**Minimum meaningful duration:**
**12 weeks** to see initial changes in frailty criteria
**6–12 months** for meaningful improvements in mobility and functional outcomes
The FIT trial used 12-month follow-up, but measurable changes in strength and walking speed can occur in 8–12 weeks
**What to measure (specific metrics):**
**Frailty criteria (monthly):**
- Weight (kg) – track unexplained loss >4.5 kg in 12 months
- Grip strength (kg, using a hand dynamometer) – compare to age/sex norms
- Exhaustion – rate "I felt that everything I did was an effort" on a 0–3 scale (0 = rarely, 3 = most of the time)
- Walking speed – time to walk 4.6 metres (15 feet) at usual pace
- Physical activity – minutes per week of moderate activity (e.g., brisk walking, gardening)
**Mobility (monthly):** Short Physical Performance Battery (SPPB) – balance, gait speed, chair stand
**Falls (weekly):** Calendar or log of any falls
**Healthcare use (monthly):** Doctor visits, hospitalisations, nursing home days
**Key confounds to control for:**
**Acute illness:** A cold, flu, or infection can temporarily worsen frailty measures. Track illness separately.
**Medication changes:** New drugs (especially sedatives, antidepressants, blood pressure meds) can affect strength, balance, and energy.
**Sleep quality:** Poor sleep causes exhaustion and reduces physical activity. Track sleep duration and quality.
**Mood:** Depression mimics frailty (exhaustion, low activity). Use a brief mood scale (e.g., PHQ-9) weekly.
**Nutritional intake:** Track protein and calorie intake, especially if weight loss is a target.
**Social support:** Changes in social contact can affect motivation and activity levels.
**What a positive result would look like:**
**Frailty score:** Reduction from 3+ criteria to 0–2 criteria (i.e., no longer classified as frail)
**SPPB score:** Improvement of ≥1 point (clinically meaningful change)
**Walking speed:** Improvement of ≥0.1 m/s (meaningful for predicting survival)
**Grip strength:** Improvement of ≥2–3 kg (meaningful for functional capacity)
**Falls:** Reduction in fall frequency (e.g., from 2 falls in 3 months to 0)
**Weight:** Stabilisation or gain of 1–2 kg if previously losing weight
**Caveat for self-experimenters:**
You cannot blind yourself to the intervention, so placebo effects are real. Use objective measures (grip strength, walking speed, weight) rather than subjective ones (exhaustion, mood) as your primary outcomes.
The FIT intervention was delivered by a multidisciplinary team (doctor, physiotherapist, occupational therapist, dietitian, nurse). As a self-experimenter, you would need to approximate this with self-directed exercise, dietary changes, and possibly consulting individual practitioners.
Start with the most evidence-based single component (progressive resistance training) and add others if you have the capacity.