An elderly person on stairs symbolizes fall risk linked to changing daily activities.

Are You at Risk? How Daily Activity Changes Can Predict Falls

"A new study reveals that both declining and improving daily living activities can signal an increased risk of falls in older adults. Learn what to watch for and how to stay safe."


Falls are a major health concern for older adults, leading to significant injury, reduced quality of life, and even mortality. As the global population ages, understanding the factors that contribute to falls is crucial for developing effective prevention strategies.

While many studies have focused on the risks associated with declining physical function, new research suggests that changes in either direction – both deterioration and improvement in activities of daily living (ADL) – can increase the likelihood of falls. This challenges conventional wisdom and highlights the complexity of fall prevention.

This article explores the findings of a 6-year study that examined the relationship between long-term changes in ADL and falls in a general elderly population. We'll delve into the key risk factors identified and discuss how this knowledge can inform targeted interventions to keep our aging loved ones safe and independent.

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The Scale of Older Adult Falls

Falls are the leading cause of injury among adults ages 65 and older, and the CDC reports that more than 14 million, or about 1 in 4, older adults fall each year. The CDC also reports that falling once doubles a person's chances of falling again. These figures show why identifying changing activity patterns may matter for prevention, although the statistics describe fall frequency rather than the predictive value of activity monitoring.

Established Prevention Methods

The CDC's STEADI initiative organizes clinical fall prevention around three steps: Screen, Assess, and Intervene. A systematic review of clinical practice guidelines examined fall prevention and management recommendations for adults aged 60 and older across community, acute-care, and nursing-home settings, while implementation research has found that some interventions reduce falls in long-term care facilities. Guidance is not completely uniform; for example, six guidelines strongly recommended education for patients and caregivers, six made weak recommendations, and three did not address the topic.

From Accepted Risk to Active Research

Fall prevention research developed from the recognition that falls were often treated as an inevitable aspect of aging rather than a subject for systematic investigation. The Age and Ageing review describes an early research phase involving retrospective studies of fall risk factors conducted between 1977 and 1988. Research has identified factors including a history of falls, aging, mild dementia, lower education levels, and certain mobility limitations among socially active older adults, while physical activity has been associated with maintaining muscle strength and stimulating postural control.

The Surprising Link Between Activity Changes and Fall Risk

An elderly person on stairs symbolizes fall risk linked to changing daily activities.

A prospective cohort study, "Good Aging in Skåne," followed 1,540 elderly subjects (ages 60-93) over six years to investigate the connection between changes in activities of daily living (ADL) and the incidence of falls. ADL was assessed using the Sonn and Åsberg's revised scale, which measures both instrumental (iADL) and personal (pADL) activities. Falls were recorded based on reports of one or more falls in the six months prior to the follow-up assessment.

The results revealed a significant connection between changes in ADL status and fall risk:

  • Deterioration Matters: Individuals who experienced a decline of two to eight steps on the ADL staircase (indicating reduced independence) had a significantly higher risk of falls.
  • Improvement Isn't Always Good: Surprisingly, those who became more independent in iADL also showed an increased risk of falls.
  • No Change, No Problem?: Individuals who remained stable in their ADL status were less likely to experience falls compared to those with changes in either direction.
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An Evolving Evidence Base

Research on fall prevention continues to examine how clinical assessment, prevention interventions, and changes in daily function might be used together. Evidence should be interpreted cautiously because findings can vary by setting, population, and intervention. For an article about activity changes as possible warning signs, the most defensible conclusion is that this approach remains a developing area that requires validation rather than a settled prediction method.

Why Prediction Is Not Enough

Fall risk is influenced by multiple factors, including advanced age, previous falls, recent hospitalization, and conditions affecting cognition, gait, and visual acuity. The 2025 nursing-home review also reports that research on risk-assessment methods and prevention strategies in nursing homes remains scarce, despite progress in acute-care and community settings. These limitations mean that a change in daily activity should not be treated as a complete explanation of risk or as a substitute for clinical assessment.

Putting Activity Changes in Context

Different approaches to fall prevention may capture different parts of the problem: activity monitoring can identify changes in routine, while clinical assessment considers broader health and environmental factors. Neither approach should automatically be assumed to outperform the other without direct evidence in the same population and setting. A balanced interpretation therefore treats activity changes as potentially useful signals that may complement, rather than replace, established assessment methods.

These findings suggest that fall prevention strategies need to consider the dynamic nature of an individual's functional abilities and address the specific risk factors associated with both declining and improving ADL.

Personalized Strategies for Fall Prevention

The study emphasizes that effective fall prevention requires tailored interventions based on an individual's specific circumstances. A one-size-fits-all approach may not be sufficient, as the underlying risk factors differ depending on whether someone is experiencing a decline or improvement in ADL.

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From Detection to Individualized Care

An evidence-based approach can connect fall assessment with individualized follow-up rather than stopping at risk identification. One reported model reviewed fall assessments and primary-care orders and recommendations during a multidisciplinary team's weekly meeting. The team used that review to develop a comprehensive individualized care plan within the first seven days after a fall incident, illustrating how information can be translated into coordinated care.

The Next Research Questions

Future work may clarify whether changes in everyday activity can reliably identify elevated fall risk before an incident occurs. It will also need to establish how such signals should be interpreted alongside clinical assessments and how they can lead to timely, appropriate interventions. Until stronger evidence is available, activity-based prediction is best viewed as a promising research direction rather than a definitive screening tool.

Access Shapes Prevention

Fall prevention depends not only on identifying risk but also on whether older adults can access and engage with recommended interventions. A 2024 study highlighted systemic barriers involving healthcare-system timing and weaknesses, as well as older adults' values. These findings suggest that even an effective prevention strategy may have limited real-world impact when services are difficult to access or do not align with patients' priorities.

Prevention in Daily Life

Fall prevention ultimately affects daily routines, confidence, independence, and decisions about care. A change in activity may be meaningful to one person while reflecting illness, recovery, preference, or circumstance in another. Any practical use of activity information should therefore support conversations with older adults and clinicians rather than reduce a person's experience to a single risk score.

For those with declining ADL, interventions should focus on addressing underlying health conditions, improving mobility and balance, and modifying the home environment to reduce hazards. This may include physical therapy, medication review, and home safety assessments.

In contrast, individuals who are improving their ADL may need guidance on pacing themselves, avoiding overexertion, and addressing any underlying cardiovascular issues. It's important to ensure that increased activity is done safely and doesn't lead to falls.

Observational study (level 4 of 8)

This prospective cohort links changes in daily function with later-reported falls, but an observational design cannot establish that those changes caused the falls.[1] [2]

What keeps this result from being settled

  • Falls were recalled for the period before follow-up, so the prospective structure did not make fall recording prospective.[1]
  • People who did not participate were older and had more illness, cognitive impairment, and ADL dependency; their underrepresentation may have made the observed associations smaller.[2]
  • The authors considered the confidence interval for the newly independent iADL group wide, which leaves uncertainty around the size of that estimate.[2]

The Good Aging in Skåne study at a glance

Study designObservational study[2]
PopulationElderly subjects from the general population, including the oldest-old (age 60–93 years)[2]
Sample size1,540[2]
SettingGood Aging in Skåne study in southern Sweden[2]
Duration6 years[2]
ComparisonParticipants who stayed independent in ADL or had no change in the ADL staircase[2]
Main outcomeFalls reported in the 6 months before follow-up[2]
Effect sizeOdds ratios (ORs); OR 4.05 for a reduction of two to eight steps in the ADL staircase and OR 4.13 for becoming independent from dependency in instrumental ADL[2]
Confidence interval95% CI, 1.62–10.11 and 1.89–9.00[2]
Times cited27[2]

How this result fits with related evidence

A separate general-population study cited in the paper found fall risk highest at an intermediate ADL-limitation stage, a pattern the authors relate to having disability while remaining partly active.[1]

What remains unclear about activity change and falls

  • How might the missing ADL assessments and differences between participants and nonparticipants affect which functional changes are represented?[1] [2]

About this Article -

Written with AI assistance from published research, and reviewed by the Mystum team. See our About page for more information.

This article is based on research published under:

DOI-LINK: 10.2147/cia.s70075, Alternate LINK

Title: Both Deterioration And Improvement In Activities Of Daily Living Are Related To Falls: A 6-Year Follow-Up Of The General Elderly Population Study Good Aging In Sk&Amp;Aring;Ne

Subject: Geriatrics and Gerontology

Journal: Clinical Interventions in Aging

Publisher: Informa UK Limited

Authors: Magnus Stenhagen, Solve Elmståhl, Henrik Ekstrom, Eva Nordell

Published: 2014-10-01

Everything You Need To Know

1

What was the research design and who were the participants in the study?

The study "Good Aging in Skåne" followed 1,540 elderly individuals aged 60-93 over six years. It used the Sonn and Åsberg's revised scale to assess Activities of Daily Living (ADL), including both instrumental (iADL) and personal activities (pADL). Falls were recorded based on reports of one or more falls within the six months before each follow-up assessment.

2

What were the main findings regarding changes in daily activities and the risk of falls?

The study revealed that both deterioration and improvement in Activities of Daily Living (ADL) can increase the risk of falls. A decline of two to eight steps on the ADL staircase, indicating reduced independence, significantly raised the risk. Surprisingly, becoming more independent in instrumental Activities of Daily Living (iADL) also showed an increased risk. Individuals with stable ADL status were less likely to experience falls.

3

What does instrumental Activities of Daily Living (iADL) include, and how can improvement in these activities increase fall risk?

Instrumental Activities of Daily Living (iADL) refer to activities that require more complex cognitive and physical skills, such as managing finances, preparing meals, doing laundry, and using transportation. An improvement in iADL might lead to increased fall risk due to overexertion or attempting tasks beyond one's current capabilities, or neglecting safety precautions due to overconfidence. This improvement may not always translate to safer habits, hence the increased risk.

4

Based on the study's findings, how should fall prevention strategies be personalized?

The findings suggest that fall prevention strategies need to be personalized. Interventions should consider whether someone is experiencing a decline or improvement in Activities of Daily Living (ADL). For those declining, focus should be on maintaining strength and balance. For those improving, education on pacing and avoiding overexertion is crucial. A one-size-fits-all approach may not be sufficient, as risk factors differ based on changes in ADL.

5

What are the implications of these findings for assessing and preventing falls in older adults?

The study highlights the need for continuous assessment and tailored interventions. Regular evaluations of Activities of Daily Living (ADL) using tools like the Sonn and Åsberg's revised scale can help identify changes early. Healthcare providers can then develop personalized plans addressing specific risk factors. Furthermore, it emphasizes the importance of educating older adults and their caregivers about the potential risks associated with both declining and improving ADL to promote safer habits and prevent falls.

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