Protocol for the PreventIT feasibility randomised controlled trial of a lifestyle-integrated exercise intervention in young older adults

Introduction The European population is rapidly ageing. In order to handle substantial future challenges in the healthcare system, we need to shift focus from treatment towards health promotion. The PreventIT project has adapted the Lifestyle-integrated Exercise (LiFE) programme and developed an intervention for healthy young older adults at risk of accelerated functional decline. The intervention targets balance, muscle strength and physical activity, and is delivered either via a smartphone application (enhanced LiFE, eLiFE) or by use of paper manuals (adapted LiFE, aLiFE). Methods and analysis The PreventIT study is a multicentre, three-armed feasibility randomised controlled trial, comparing eLiFE and aLiFE against a control group that receives international guidelines of physical activity. It is performed in three European cities in Norway, Germany, and The Netherlands. The primary objective is to assess the feasibility and usability of the interventions, and to assess changes in daily life function as measured by the Late-Life Function and Disability Instrument scale and a physical behaviour complexity metric. Participants are assessed at baseline, after the 6 months intervention period and at 1 year after randomisation. Men and women between 61 and 70 years of age are randomly drawn from regional registries and respondents screened for risk of functional decline to recruit and randomise 180 participants (60 participants per study arm). Ethics and dissemination Ethical approval was received at all three trial sites. Baseline results are intended to be published by late 2018, with final study findings expected in early 2019. Subgroup and further in-depth analyses will subsequently be published. Trial registration number NCT03065088; Pre-results.

[1]  S. Lord,et al.  Adherence to a multifactorial fall prevention program following paramedic care: Predictors and impact on falls and health service use. Results from an RCT a priori subgroup analysis , 2018, Australasian journal on ageing.

[2]  Diane Podsiadlo,et al.  The Timed “Up & Go”: A Test of Basic Functional Mobility for Frail Elderly Persons , 1991, Journal of the American Geriatrics Society.

[3]  Lorenzo Chiari,et al.  Validity of a Smartphone-based instrumented Timed Up and Go. , 2012, Gait & posture.

[4]  Health Action Process Approachを用いた大学生のコンドーム使用行動の検討 , 2011 .

[5]  J. B. Brooke,et al.  SUS: A 'Quick and Dirty' Usability Scale , 1996 .

[6]  A. Williams EuroQol : a new facility for the measurement of health-related quality of life , 1990 .

[7]  M. Mckee,et al.  How can health systems respond to population ageing , 2009 .

[8]  D. J. van der Valk,et al.  How accurately can sitting and the intensity of walking and cycling be classified using an accelerometer on the waist for the purpose of the “Global recommendations on physical activity for health”? , 2015 .

[9]  G. Salem,et al.  American College of Sports Medicine position stand. Exercise and physical activity for older adults. , 2009, Medicine and science in sports and exercise.

[10]  Klaus Hauer,et al.  The Short FES-I: a shortened version of the falls efficacy scale-international to assess fear of falling. , 2007, Age and ageing.

[11]  R. H. Browne On the use of a pilot sample for sample size determination. , 1995, Statistics in medicine.

[12]  J. Prochaska,et al.  Stages and processes of self-change of smoking: toward an integrative model of change. , 1983, Journal of consulting and clinical psychology.

[13]  Rachael Powell,et al.  The acceptability of physical activity interventions to older adults: A systematic review and meta-synthesis. , 2016, Social science & medicine.

[14]  D. Merom,et al.  Why few older adults participate in complex motor skills: a qualitative study of older adults’ perceptions of difficulty and challenge , 2015, BMC Public Health.

[15]  C. Abraham,et al.  The Behavior Change Technique Taxonomy (v1) of 93 Hierarchically Clustered Techniques: Building an International Consensus for the Reporting of Behavior Change Interventions , 2013, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[16]  Willem van Mechelen,et al.  Predicting older adults' maintenance in exercise participation using an integrated social psychological model. , 2006, Health education research.

[17]  D. Moher,et al.  CONSORT 2010 statement: Updated guidelines for reporting parallel group randomised trials , 2010, Journal of pharmacology & pharmacotherapeutics.

[18]  S. Julious,et al.  An audit of sample sizes for pilot and feasibility trials being undertaken in the United Kingdom registered in the United Kingdom Clinical Research Network database , 2013, BMC Medical Research Methodology.

[19]  Chitralakshmi K Balasubramanian,et al.  The Community Balance and Mobility Scale Alleviates the Ceiling Effects Observed in the Currently Used Gait and Balance Assessments for the Community-Dwelling Older Adults , 2015, Journal of geriatric physical therapy.

[20]  K. Aminian,et al.  Barcoding Human Physical Activity to Assess Chronic Pain Conditions , 2012, PloS one.

[21]  B. Gardner,et al.  Towards parsimony in habit measurement: Testing the convergent and predictive validity of an automaticity subscale of the Self-Report Habit Index , 2012, International Journal of Behavioral Nutrition and Physical Activity.

[22]  David P French,et al.  Which Behaviour Change Techniques Are Most Effective at Increasing Older Adults’ Self-Efficacy and Physical Activity Behaviour? A Systematic Review , 2014, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[23]  Kamiar Aminian,et al.  Quantifying dimensions of physical behavior in chronic pain conditions , 2016, Journal of NeuroEngineering and Rehabilitation.

[24]  Jeffrey M. Hausdorff,et al.  Association Between Quantitative Gait and Balance Measures and Total Daily Physical Activity in Community-Dwelling Older Adults , 2018, The journals of gerontology. Series A, Biological sciences and medical sciences.

[25]  Anita Bundy,et al.  Integration of balance and strength training into daily life activity to reduce rate of falls in older people (the LiFE study): randomised parallel trial , 2012, BMJ : British Medical Journal.

[26]  Diana Baader,et al.  Senior Fitness Test Manual , 2016 .

[27]  M. Campbell,et al.  What is a pilot or feasibility study? A review of current practice and editorial policy , 2010, BMC medical research methodology.

[28]  Jorunn L Helbostad,et al.  A randomised controlled study of the long-term effects of exercise training on mortality in elderly people: study protocol for the Generation 100 study , 2015, BMJ Open.

[29]  Sam Norton,et al.  The development and initial psychometric evaluation of a measure assessing adherence to prescribed exercise: the Exercise Adherence Rating Scale (EARS). , 2017, Physiotherapy.

[30]  P. Sandercock,et al.  Framework for design and evaluation of complex interventions to improve health , 2000, BMJ : British Medical Journal.

[31]  Michael Schwenk,et al.  Feasibility and Effectiveness of Intervention Programmes Integrating Functional Exercise into Daily Life of Older Adults: A Systematic Review , 2017, Gerontology.

[32]  Luigi Ferrucci,et al.  Association of executive function and performance of dual-task physical tests among older adults: analyses from the InChianti study. , 2006, Age and ageing.

[33]  J. Ware,et al.  A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity. , 1996, Medical care.

[34]  Stuart,et al.  Older people's recruitment, sustained participation, and adherence to falls prevention interventions in institutional settings: a supplement to the Cochrane systematic review , 2011 .

[35]  Alan M Jette,et al.  Late life function and disability instrument: I. Development and evaluation of the disability component. , 2002, The journals of gerontology. Series A, Biological sciences and medical sciences.

[36]  Somnath Chatterji,et al.  Ageing 3 Health, Functioning, and Disability in Older Adults—present Status and Future Implications , 2022 .

[37]  Beatrix Vereijken,et al.  Predicting Trajectories of Functional Decline in 60- to 70-Year-Old People , 2017, Gerontology.

[38]  R. Cumming,et al.  LiFE Pilot Study: A randomised trial of balance and strength training embedded in daily life activity to reduce falls in older adults. , 2010, Australian occupational therapy journal.

[39]  Kamiar Aminian,et al.  Mobile Health Applications to Promote Active and Healthy Ageing , 2017, Sensors.

[40]  Alan M Jette,et al.  Late Life Function and Disability Instrument: II. Development and evaluation of the function component. , 2002, The journals of gerontology. Series A, Biological sciences and medical sciences.

[41]  F. Landi,et al.  Age-Related Variations of Muscle Mass, Strength, and Physical Performance in Community-Dwellers: Results From the Milan EXPO Survey. , 2017, Journal of the American Medical Directors Association.

[42]  J. Farrar,et al.  Clinical importance of changes in chronic pain intensity measured on an 11-point numerical pain rating scale , 2001, PAIN.

[43]  A. Kasuya EuroQol--a new facility for the measurement of health-related quality of life. , 1990, Health policy.

[44]  L. Yardley,et al.  Development and initial validation of the Falls Efficacy Scale-International (FES-I). , 2005, Age and ageing.

[45]  C. Todd,et al.  Multiple Levels of Influence on Older Adults’ Attendance and Adherence to Community Exercise Classes , 2013, The Gerontologist.

[46]  N. H. Rod,et al.  Does retirement reduce the risk of mental disorders? A national registry-linkage study of treatment for mental disorders before and after retirement of 245 082 Danish residents , 2015, Occupational and Environmental Medicine.

[47]  L. Ferrucci,et al.  A short physical performance battery assessing lower extremity function: association with self-reported disability and prediction of mortality and nursing home admission. , 1994, Journal of gerontology.

[48]  J. Cummings,et al.  The Montreal Cognitive Assessment, MoCA: A Brief Screening Tool For Mild Cognitive Impairment , 2005, Journal of the American Geriatrics Society.

[49]  Jennifer M. Murray,et al.  Effectiveness of physical activity interventions in achieving behaviour change maintenance in young and middle aged adults: A systematic review and meta-analysis. , 2017, Social science & medicine.