MIELITEKO Lifestyle Intervention Study

NCT ID: NCT05377398

Last Updated: 2023-12-07

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

68 participants

Study Classification

INTERVENTIONAL

Study Start Date

2022-08-24

Study Completion Date

2023-09-30

Brief Summary

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Mental health problems cause individual, social and economic burden to the society. The mental health problems are among the highest levels in North Savo compared to the general Finnish population. The COVID-19 pandemic has emphasized the urgent need for tackling mental health problems and developing an effective and comprehensive approach to prevent mental health problems. The aim of this MIELITEKO pilot study is to test and develop an effective and comprehensive programme to prevent mental health problems and promote mental wellbeing among disadvantaged groups.

The pilot study is a multilayered intervention study with an RCT study design, which will be conducted in selected cities and areas in North Savo such as Kuopio, Iisalmi, Varkaus and Siilinjärvi. The disadvantaged groups of this study include people aged between 18 and 64 years who are unemployed or are outside the workforce. The participants are randomized 1:1 into intervention (N=250) and control groups (N=250). The intervention group will receive the multilayered intervention whereas the control group is assumed to continue with current health information and use of services "as usual" but remain in the waiting list. Multilayered intervention includes individual-level digital healthy lifestyle intervention, group-based healthy lifestyle intervention and green power intervention as well as mini-intervention for substance use.

The data collection of self-reported validated measure of health and wellbeing as well as relevant background factor will be conducted using digital and online survey tools in baseline (T0), and after 6 months (T1) and 12 months (T2) after the onset of the study from both intervention and control groups. Register data on the use of services and pharmaceuticals that will be gathered from the national registers at National Institute for Health and Welfare and Kela or from local registers administered by municipalities in North Savo. Pilot study will utilize quantitative and qualitative statistical analyses to evaluate the process, effects and effectiveness as well as cost-effectiveness of the intervention to promote mental health and wellbeing as well as to healthy lifestyles.

Detailed Description

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Conditions

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Mental Health Well-Being Life Style

Keywords

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Mental health Well-being Life-style Disadvantaged groups intervention study RCT Mixed methods Effectiveness Registers Digital intervention Green power

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

The study is a multilayered intervention study with RCT study design. The selection of participants will be based on purposive sampling. The participants will fill in the baseline questionnaire that screens the current state of mental health, mental wellbeing and healthy lifestyle and substance use among the participants.

Participants are then randomly allocated 1:1 to intervention (N=250) and control groups (N=250). The participants in the intervention group are offered 1) Digital individual-level intervention and 2) Individual-level or group-based intervention. In addition, all participants in the intervention group with elevated risk for substance use will also be targeted with 3) A mini-intervention for substance use.
Primary Study Purpose

PREVENTION

Blinding Strategy

NONE

Study Groups

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1) Intervention group

Participants in this arm will be offered

1. a digital individual-level intervention (Bit Habit) \&
2. group-based or individual-level healthy lifestyle and green power intervention
3. a mini-intervention for substance use if their level of substance use is above certain risk level.

Group Type EXPERIMENTAL

Digital individual-level intervention (Bit Habit)

Intervention Type BEHAVIORAL

All participants in the intervention group receive access to the BitHabit app for the 1-year intervention period. The BitHabit app was designed in the StopDia project, and it aims to help its users to adopt healthier lifestyles and habits.The content and approach of the app is based on habit formation theories and the Self-Determination Theory. The app provides an extensive library of suggested lifestyle habits that was created according to lifestyle guidelines and recommendations. The habits are related to diet, physical activity, sleep, positive mood, stress management, smoking, and alcohol consumption. Users of the app select these habits from the library to their "shopping basket" to complete in their everyday life. The app also allows the users to report and monitor their performance and progress.

Group-based healthy lifestyle and green power intervention

Intervention Type BEHAVIORAL

The group-based healthy lifestyle intervention is based on the Supportive Environment Theory (SET). The intervention is implemented in accordance with DiClemente and Prochaska's Stages-of-Change Model which is often used as framework for lifestyle change as well as Shazer and Berg's Solution Focused Brief Therapy. We expect participants to increase knowledge about healthy lifestyle choices and notice the beneficial effect of exercise, healthy diet and staying in nature. The intervention includes 12 to 16 hours of group activities during a period of 8 weeks. Interventions comprehend guided activities in nature, related to healthy relationship to food and exercise, as well as reflecting on shared experiences. In addition to group meetings, participants have access to material for mental well-being on an electronic learning environment.

Individual-level healthy lifestyle intervention

Intervention Type BEHAVIORAL

The individual-level healthy lifestyle intervention follows the principles and theoretical background of the group-based intervention, but the intervention is carried out entirely on the electronic learning environment. The participants complete activities and exercises independently or with a friend in their own time.

Mini-intervention for substance use

Intervention Type BEHAVIORAL

The mini-intervention for substance use follows the principle of the ASSIST-linked brief intervention created by WHO. This brief intervention is a phone-call lasting 3 to 15 minutes and given to the participant according to their risk score calculated with the ASSIST questionnaire which is included in the baseline survey. The intervention includes presenting the participant with their test score and associated health problems related to their level of risk. Especially in primary health care context, brief intervention according to the ASSIST score has been found to be successful in moderating risk for substance use. The intervention is not intended as a stand-alone treatment and in cases where high risk substance use is detected, the professional should encourage the participant to seek specialized drug and alcohol assessment and treatment.

2) Control group

The control group is assumed to continue with current health information and national recommendations for healthy lifestyle and use of services "as usual".

Group Type NO_INTERVENTION

No interventions assigned to this group

Interventions

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Digital individual-level intervention (Bit Habit)

All participants in the intervention group receive access to the BitHabit app for the 1-year intervention period. The BitHabit app was designed in the StopDia project, and it aims to help its users to adopt healthier lifestyles and habits.The content and approach of the app is based on habit formation theories and the Self-Determination Theory. The app provides an extensive library of suggested lifestyle habits that was created according to lifestyle guidelines and recommendations. The habits are related to diet, physical activity, sleep, positive mood, stress management, smoking, and alcohol consumption. Users of the app select these habits from the library to their "shopping basket" to complete in their everyday life. The app also allows the users to report and monitor their performance and progress.

Intervention Type BEHAVIORAL

Group-based healthy lifestyle and green power intervention

The group-based healthy lifestyle intervention is based on the Supportive Environment Theory (SET). The intervention is implemented in accordance with DiClemente and Prochaska's Stages-of-Change Model which is often used as framework for lifestyle change as well as Shazer and Berg's Solution Focused Brief Therapy. We expect participants to increase knowledge about healthy lifestyle choices and notice the beneficial effect of exercise, healthy diet and staying in nature. The intervention includes 12 to 16 hours of group activities during a period of 8 weeks. Interventions comprehend guided activities in nature, related to healthy relationship to food and exercise, as well as reflecting on shared experiences. In addition to group meetings, participants have access to material for mental well-being on an electronic learning environment.

Intervention Type BEHAVIORAL

Individual-level healthy lifestyle intervention

The individual-level healthy lifestyle intervention follows the principles and theoretical background of the group-based intervention, but the intervention is carried out entirely on the electronic learning environment. The participants complete activities and exercises independently or with a friend in their own time.

Intervention Type BEHAVIORAL

Mini-intervention for substance use

The mini-intervention for substance use follows the principle of the ASSIST-linked brief intervention created by WHO. This brief intervention is a phone-call lasting 3 to 15 minutes and given to the participant according to their risk score calculated with the ASSIST questionnaire which is included in the baseline survey. The intervention includes presenting the participant with their test score and associated health problems related to their level of risk. Especially in primary health care context, brief intervention according to the ASSIST score has been found to be successful in moderating risk for substance use. The intervention is not intended as a stand-alone treatment and in cases where high risk substance use is detected, the professional should encourage the participant to seek specialized drug and alcohol assessment and treatment.

Intervention Type BEHAVIORAL

Eligibility Criteria

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Inclusion Criteria

* age between 18 and 64 years
* unemployed or outside the workforce (such as students)
* living in Northern Savo

Exclusion Criteria

\- no access to personal mobile devices or to the internet
Minimum Eligible Age

18 Years

Maximum Eligible Age

64 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Savonia University of Applied Sciences (SAVONIA)

UNKNOWN

Sponsor Role collaborator

City of Kuopio

OTHER_GOV

Sponsor Role collaborator

VTT Technical Research Centre of Finland

OTHER

Sponsor Role collaborator

Buddy Health Care (BHC)

UNKNOWN

Sponsor Role collaborator

University of Eastern Finland

OTHER

Sponsor Role lead

Responsible Party

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Tomi Mäki-Opas

Research director

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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University of Eastern Finland

Kuopio, Northern Savonia, Finland

Site Status

Technical Research Centre of Finland (VTT)

Espoo, , Finland

Site Status

Buddy HealthCare Ltd Oy

Helsinki, , Finland

Site Status

Savonia University of Applied Sciences (SAVONIA)

Kuopio, , Finland

Site Status

City of Kuopio

Kuopio, , Finland

Site Status

Countries

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Finland

References

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Harjumaa M, Absetz P, Ermes M, Mattila E, Mannikko R, Tilles-Tirkkonen T, Lintu N, Schwab U, Umer A, Leppanen J, Pihlajamaki J. Internet-Based Lifestyle Intervention to Prevent Type 2 Diabetes Through Healthy Habits: Design and 6-Month Usage Results of Randomized Controlled Trial. JMIR Diabetes. 2020 Aug 11;5(3):e15219. doi: 10.2196/15219.

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PMID: 32779571 (View on PubMed)

Hemio K, Polonen A, Ahonen K, Kosola M, Viitasalo K, Lindstrom J. A simple tool for diet evaluation in primary health care: validation of a 16-item food intake questionnaire. Int J Environ Res Public Health. 2014 Mar 4;11(3):2683-97. doi: 10.3390/ijerph110302683.

Reference Type BACKGROUND
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Humeniuk R, Ali R, Babor T, Souza-Formigoni ML, de Lacerda RB, Ling W, McRee B, Newcombe D, Pal H, Poznyak V, Simon S, Vendetti J. A randomized controlled trial of a brief intervention for illicit drugs linked to the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) in clients recruited from primary health-care settings in four countries. Addiction. 2012 May;107(5):957-66. doi: 10.1111/j.1360-0443.2011.03740.x. Epub 2012 Feb 28.

Reference Type BACKGROUND
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Reference Type BACKGROUND
PMID: 1634307 (View on PubMed)

Lindstrom J, Aittola K, Polonen A, Hemio K, Ahonen K, Karhunen L, Mannikko R, Siljamaki-Ojansuu U, Tilles-Tirkkonen T, Virtanen E, Pihlajamaki J, Schwab U. Formation and Validation of the Healthy Diet Index (HDI) for Evaluation of Diet Quality in Healthcare. Int J Environ Res Public Health. 2021 Feb 28;18(5):2362. doi: 10.3390/ijerph18052362.

Reference Type BACKGROUND
PMID: 33670967 (View on PubMed)

Mollayeva T, Thurairajah P, Burton K, Mollayeva S, Shapiro CM, Colantonio A. The Pittsburgh sleep quality index as a screening tool for sleep dysfunction in clinical and non-clinical samples: A systematic review and meta-analysis. Sleep Med Rev. 2016 Feb;25:52-73. doi: 10.1016/j.smrv.2015.01.009. Epub 2015 Feb 17.

Reference Type BACKGROUND
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Pihlajamaki J, Mannikko R, Tilles-Tirkkonen T, Karhunen L, Kolehmainen M, Schwab U, Lintu N, Paananen J, Jarvenpaa R, Harjumaa M, Martikainen J, Kohl J, Poutanen K, Ermes M, Absetz P, Lindstrom J, Lakka TA; StopDia study group. Digitally supported program for type 2 diabetes risk identification and risk reduction in real-world setting: protocol for the StopDia model and randomized controlled trial. BMC Public Health. 2019 Mar 1;19(1):255. doi: 10.1186/s12889-019-6574-y.

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Reference Type BACKGROUND
PMID: 18042300 (View on PubMed)

Other Identifiers

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2116/02.03.01/2020

Identifier Type: -

Identifier Source: org_study_id