NCT06600438

Brief Summary

Slow-SPEED UK is an 18-month randomised, double-blind feasibility trial evaluating the delivery, adherence, and acceptability of a digitally supported physical activity programme in community-dwelling adults aged 40 and over with objectively confirmed hyposmia (reduced sense of smell) and low baseline physical activity. Participants are randomly assigned 1:1 to either a full-dose activity-support programme (targeting a 100% increase in daily step count) or a very low-dose active control (targeting a 10% increase). Both arms are delivered via a smartphone application linked to a wearable activity monitor (Fitbit Charge 6), with personalised weekly goals expressed as relative percentages to maintain blinding. The study is not designed to test clinical efficacy.

Trial Health

65
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
110

participants targeted

Target at P50-P75 for not_applicable

Timeline
18mo left

Started May 2026

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

July 22, 2024

Completed
2 months until next milestone

First Posted

Study publicly available on registry

September 19, 2024

Completed
1.6 years until next milestone

Study Start

First participant enrolled

May 1, 2026

Expected
1.5 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

October 31, 2027

Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

October 31, 2027

Last Updated

April 15, 2026

Status Verified

April 1, 2026

Enrollment Period

1.5 years

First QC Date

July 22, 2024

Last Update Submit

April 10, 2026

Conditions

Keywords

HyposmiaPhysical activityFeasibility randomized controlled trialWearable technologySmartphone applicationOlfactory dysfunctionDigital health intervention

Outcome Measures

Primary Outcomes (2)

  • Change in Average Daily Step Count

    Change in average daily step count from baseline (weeks 0-4) to the final four weeks of the 18-month study period (approximately weeks 75-78), measured continuously using the Fitbit Charge 6 wearable activity monitor. Average daily step count will be calculated across four-week periods and analysed descriptively as a measure of engagement and sustainability in keeping with the feasibility aims of the study.

    Baseline (weeks 0-4) to 18 months (weeks 75-78)

  • Feasibility of Study Delivery

    Composite feasibility outcome assessed by: (1) proportion of eligible participants who consent to take part (recruitment rate); (2) proportion of randomised participants who complete the 18-month study period (retention); (3) adherence to the intervention, measured by app engagement metrics and Fitbit wear time; (4) completeness of remote and in-person assessment data; and (5) frequency and nature of adverse events (safety).

    Throughout the 18-month study period, with summaries at 9 months and 18 months

Secondary Outcomes (20)

  • Change in Moderate-to-Vigorous Physical Activity (MVPA) Intensity

    Baseline (weeks 0-4) to 9 months and 18 months

  • Cardiorespiratory Fitness: Estimated VO₂max

    Continuously throughout the 18-month study period, with summaries at baseline, 9 months, and 18 months

  • Blood Pressure

    Baseline and 18 months (in-person visits)

  • Remote Digital Motor Assessment: Roche Mobile Application V2

    Every 6 weeks from randomisation to 18 months (approximately 13 assessment windows)

  • Structured Motor Examination: MDS-UPDRS Part III, Functional Gait Assessment, and Mini-BESTest

    Baseline and 18 months (in-person visits)

  • +15 more secondary outcomes

Study Arms (2)

100% exercise increase

EXPERIMENTAL

Arm: Full-Dose Exercise Group Participants in this arm will be asked to increase their average daily step count by 100% compared with baseline. Using a Fitbit smartwatch and the Slow-SPEED smartphone app, they will receive personalised step goals, real-time feedback, and gamified challenges to encourage gradual and sustained increases in physical activity. The programme is delivered remotely and unsupervised over 18 months, with progress monitored continuously through the wearable device.

Other: Slow-SPEED app

10% exercise increase

ACTIVE COMPARATOR

Arm: Low-Dose Control Group Participants in this arm will be asked to increase their average daily step count by 10% compared with baseline. Like the intervention group, they will use a Fitbit smartwatch and the Slow-SPEED smartphone app, receiving similar gamified feedback and motivational tools. The lower step target provides an active control condition while maintaining blinding. The programme is delivered remotely and unsupervised over 18 months, with continuous monitoring via the wearable device.

Other: Slow-SPEED app

Interventions

Gamified motivational smartphone app

10% exercise increase100% exercise increase

Eligibility Criteria

Age40 Years - 100 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Age ≥ 40 years
  • Objective hyposmia, defined as scoring below the 15th percentile (adjusted for age/sex) on UPSIT
  • Ability and willingness to provide written informed consent
  • Proficiency in written and spoken English sufficient to complete study procedures.
  • Willingness and ability to attend baseline (in-person), 9-month (remote), and 18-month (in-person) assessments.
  • Access to telephone or internet for interim communication. Specifically, in possession of a suitable smartphone (screen size minimum 4.6 inch; Android version 9 or iOS version 15 or newer).
  • Physical activity threshold: During the 4-week eligibility run-in, the mean daily step count must be \<7,000 steps/day, calculated over ≥21 valid days (a valid day = ≥10 hours wear time or ≥1,000 steps). If recruitment after the first 2 months is \<60-70% of target, and subject to TSC/Sponsor approval and REC amendment, eligibility may be broadened to \<10,000 steps/day (i.e. participants averaging 7,000-9,999 steps/day become eligible).

You may not qualify if:

  • Clinical diagnosis of PD, dementia, or other neurodegenerative conditions
  • Severe or unstable medical or psychiatric illness likely to impair participation
  • Use of agents known to alter olfaction (e.g. intranasal zinc, chronic corticosteroids)
  • Current enrolment in an interventional study within the past 3 months (standard research retention guidance).
  • Inability to complete study procedures in English, per investigator assessment
  • Unable to give consent
  • Participants not living independently in the community. Participants in nursing homes, hospitalised persons on in a non-institutionalised setting are excluded.
  • Subject's personal smartphone is Fitbit-incompatible i.e. Huawei P8 Lite; Huawei P9 Lite; Xiaomi Mi 6; Huawei P20 Lite
  • Activity level above threshold during eligibility run-in: mean daily step count ≥7,000 steps/day (or ≥10,000 steps/day if the broadened threshold is activated).

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Related Publications (12)

  • Doty RL, Shaman P, Dann M. Development of the University of Pennsylvania Smell Identification Test: a standardized microencapsulated test of olfactory function. Physiol Behav. 1984 Mar;32(3):489-502. doi: 10.1016/0031-9384(84)90269-5.

    PMID: 6463130BACKGROUND
  • Patel ZM, Holbrook EH, Turner JH, Adappa ND, Albers MW, Altundag A, Appenzeller S, Costanzo RM, Croy I, Davis GE, Dehgani-Mobaraki P, Doty RL, Duffy VB, Goldstein BJ, Gudis DA, Haehner A, Higgins TS, Hopkins C, Huart C, Hummel T, Jitaroon K, Kern RC, Khanwalkar AR, Kobayashi M, Kondo K, Lane AP, Lechner M, Leopold DA, Levy JM, Marmura MJ, Mclelland L, Miwa T, Moberg PJ, Mueller CA, Nigwekar SU, O'Brien EK, Paunescu TG, Pellegrino R, Philpott C, Pinto JM, Reiter ER, Roalf DR, Rowan NR, Schlosser RJ, Schwob J, Seiden AM, Smith TL, Soler ZM, Sowerby L, Tan BK, Thamboo A, Wrobel B, Yan CH. International consensus statement on allergy and rhinology: Olfaction. Int Forum Allergy Rhinol. 2022 Apr;12(4):327-680. doi: 10.1002/alr.22929.

    PMID: 35373533BACKGROUND
  • Yuan Y, Chamberlin KW, Li C, Luo Z, Simonsick EM, Kucharska-Newton A, Chen H. Olfaction and Mobility in Older Adults. JAMA Otolaryngol Head Neck Surg. 2024 Mar 1;150(3):201-208. doi: 10.1001/jamaoto.2023.4375.

    PMID: 38236595BACKGROUND
  • Yeo BSY, Chan JH, Tan BKJ, Liu X, Tay L, Teo NWY, Charn TC. Olfactory Impairment and Frailty: A Systematic Review and Meta-Analysis. JAMA Otolaryngol Head Neck Surg. 2024 Sep 1;150(9):772-783. doi: 10.1001/jamaoto.2024.1854.

    PMID: 38990553BACKGROUND
  • Paluch AE, Bajpai S, Bassett DR, Carnethon MR, Ekelund U, Evenson KR, Galuska DA, Jefferis BJ, Kraus WE, Lee IM, Matthews CE, Omura JD, Patel AV, Pieper CF, Rees-Punia E, Dallmeier D, Klenk J, Whincup PH, Dooley EE, Pettee Gabriel K, Palta P, Pompeii LA, Chernofsky A, Larson MG, Vasan RS, Spartano N, Ballin M, Nordstrom P, Nordstrom A, Anderssen SA, Hansen BH, Cochrane JA, Dwyer T, Wang J, Ferrucci L, Liu F, Schrack J, Urbanek J, Saint-Maurice PF, Yamamoto N, Yoshitake Y, Newton RL Jr, Yang S, Shiroma EJ, Fulton JE; Steps for Health Collaborative. Daily steps and all-cause mortality: a meta-analysis of 15 international cohorts. Lancet Public Health. 2022 Mar;7(3):e219-e228. doi: 10.1016/S2468-2667(21)00302-9.

    PMID: 35247352BACKGROUND
  • Johnston W, Judice PB, Molina Garcia P, Muhlen JM, Lykke Skovgaard E, Stang J, Schumann M, Cheng S, Bloch W, Brond JC, Ekelund U, Grontved A, Caulfield B, Ortega FB, Sardinha LB. Recommendations for determining the validity of consumer wearable and smartphone step count: expert statement and checklist of the INTERLIVE network. Br J Sports Med. 2021 Jul;55(14):780-793. doi: 10.1136/bjsports-2020-103147. Epub 2020 Dec 24.

    PMID: 33361276BACKGROUND
  • Noyce AJ, R'Bibo L, Peress L, Bestwick JP, Adams-Carr KL, Mencacci NE, Hawkes CH, Masters JM, Wood N, Hardy J, Giovannoni G, Lees AJ, Schrag A. PREDICT-PD: An online approach to prospectively identify risk indicators of Parkinson's disease. Mov Disord. 2017 Feb;32(2):219-226. doi: 10.1002/mds.26898. Epub 2017 Jan 16.

    PMID: 28090684BACKGROUND
  • Yuan Y, Li C, Luo Z, Simonsick EM, Shiroma EJ, Chen H. Olfaction and Physical Functioning in Older Adults: A Longitudinal Study. J Gerontol A Biol Sci Med Sci. 2022 Aug 12;77(8):1612-1619. doi: 10.1093/gerona/glab233.

    PMID: 34379770BACKGROUND
  • Oleszkiewicz A, Croy I, Hummel T. The impact of olfactory loss on quality of life: a 2025 review. Chem Senses. 2025 Jan 22;50:bjaf023. doi: 10.1093/chemse/bjaf023.

    PMID: 40719006BACKGROUND
  • Brickwood KJ, Watson G, O'Brien J, Williams AD. Consumer-Based Wearable Activity Trackers Increase Physical Activity Participation: Systematic Review and Meta-Analysis. JMIR Mhealth Uhealth. 2019 Apr 12;7(4):e11819. doi: 10.2196/11819.

    PMID: 30977740BACKGROUND
  • Lipsmeier F, Taylor KI, Postuma RB, Volkova-Volkmar E, Kilchenmann T, Mollenhauer B, Bamdadian A, Popp WL, Cheng WY, Zhang YP, Wolf D, Schjodt-Eriksen J, Boulay A, Svoboda H, Zago W, Pagano G, Lindemann M. Reliability and validity of the Roche PD Mobile Application for remote monitoring of early Parkinson's disease. Sci Rep. 2022 Jul 15;12(1):12081. doi: 10.1038/s41598-022-15874-4.

    PMID: 35840753BACKGROUND
  • Li R, Li Y, Wang L, Li L, Fu C, Hu D, Wei Q. Wearable Activity Tracker-Based Interventions for Physical Activity, Body Composition, and Physical Function Among Community-Dwelling Older Adults: Systematic Review and Meta-Analysis of Randomized Controlled Trials. J Med Internet Res. 2025 Apr 3;27:e59507. doi: 10.2196/59507.

    PMID: 40179387BACKGROUND

Related Links

MeSH Terms

Conditions

AnosmiaMotor Activity

Condition Hierarchy (Ancestors)

Olfaction DisordersSensation DisordersNeurologic ManifestationsNervous System DiseasesSigns and SymptomsPathological Conditions, Signs and SymptomsBehavior

Study Officials

  • Alastair J Noyce, BMedSci, MBBS, MSc, MRCP, PhD

    Centre for Preventive Neurology, Queen Mary University of London

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Viktoria Azoidou, PhD, MSc, BSc

CONTACT

Alastair J Noyce, BMedSci, MBBS, MSc, MRCP, PhD

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
QUADRUPLE
Who Masked
PARTICIPANT, CARE PROVIDER, INVESTIGATOR, OUTCOMES ASSESSOR
Masking Details
Blinding is maintained by presenting all activity goals within the Slow-SPEED smartphone application as relative percentage targets rather than absolute step values. Everyone involved remains unaware of group allocation throughout the 18-month study period. The use of an active control arm receiving a minimum activity target through the same digital platform, with identical application structure, contact frequency, and user experience across both arms, further supports blinding by minimising differences in participant experience between groups. Allocation concealment is achieved through sequentially numbered, opaque, sealed envelopes. To assess the integrity of blinding, participants will be asked at study completion to indicate which group they believe they were allocated to.
Purpose
OTHER
Intervention Model
PARALLEL
Model Details: The primary purpose is to evaluate feasibility, acceptability, and safety of delivering the Slow-SPEED intervention.
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

July 22, 2024

First Posted

September 19, 2024

Study Start (Estimated)

May 1, 2026

Primary Completion (Estimated)

October 31, 2027

Study Completion (Estimated)

October 31, 2027

Last Updated

April 15, 2026

Record last verified: 2026-04

Data Sharing

IPD Sharing
Will not share