The LvL UP Trial: Assessing the Effectiveness of a MHealth Intervention
- Conditions
- Health BehaviorNoncommunicable DiseasesMental Health IssueLifestyle Risk Reduction
- Interventions
- Behavioral: LvL UPBehavioral: LvL UP + MIBehavioral: Comparison
- Registration Number
- NCT06592443
- Lead Sponsor
- Singapore ETH Centre
- Brief Summary
Non-communicable diseases (NCDs), such as cardiovascular disease, diabetes, or cancer, and common mental disorders (CMDs), such as depression or anxiety, represent the primary causes of death and disability worldwide, causing major health and financial burdens. Lifestyle behaviours, including physical activity, diet, stress and emotional regulation, tobacco smoking, alcohol consumption, and sleep are important modifiable risk factors associated with the prevention and management of both NCDs and CMDs.
LvL UP is a mHealth intervention aimed at preventing NCDs and CMDs in adults from multi-ethnic Southeast Asian populations. Building upon leading evidence- and theory-based frameworks in the areas of mental health and behaviour change, a multidisciplinary team of researchers developed LvL UP as a holistic intervention centred around three core pillars: Move More, Eat Well, Stress Less.
This study is aimed at (i) evaluating the effectiveness and cost-effectiveness of LvL UP, an mHealth lifestyle intervention for the prevention of NCDs and CMDs, and (ii) establishing the optimal blended approach in LvL UP that balances effective personalized lifestyle support with scalability.
- Detailed Description
Participants will:
* Visit the study site at baseline and month 6 to complete assessments.
* Complete online assessments at months 1, 3, 9 and 12.
* Be assigned to group 1 (intervention) or group 2 (comparison).
* Participants in group 1 will download the LvL UP App.
* Participants in group 1 categorized as non-responders; at month 1 will start receiving six motivational interviewing coaching sessions in addition to continue using the LvL UP app (LvL UP + MI).
* Participants in group 2 will receive a package with standard lifestyle resources from Singapore Health Promotion Board.
Participants will be randomly allocated to groups 1 or 2 (LvL UP or comparison) following a 2:1 ratio favoring the LvL UP group. At month 1 (decision point), participants from the LvL UP group will be classified as responders or non-responders based on pre-specified criteria. Non-responder participants will be re-randomized with equal probability (1:1) to one of the two second-line conditions: (i) continuing with the initial intervention (LvL UP) or (ii) additional MI support sessions (LvL UP + MI). The LvL UP pilot study results (NCT06360029) will be used to inform the tailoring variable(s) for the trial (i.e., to define response / non-response at month 1). Engagement and app evaluation variables (e.g., number of app components completed over the first 4 weeks, net promoter score), preliminary intervention effects (e.g., initial positive response), or a combination of the two will be used.
Participants will also take part in a process evaluation informed by the UK Medical Research Council guidelines to explore implementation (process, fidelity, dose, adaptations, reach), mechanisms of action (participant experience and response to intervention, mediators, unexpected pathways and consequences), and contextual factors that may affect implementation and intervention outcomes. Methods will entail qualitative and quantitative approaches, including surveys, interviews, web-based and app-based analytic data, and direct observation. In addition, other measures have been added to the research protocol to address the following exploratory aims (all relevant measures are described in the outcomes section):
A. To identify the most cost-effective intervention condition from the societal perspective (e.g., self-reported sickness absence).
B. To explore time-varying and baseline moderators on intervention outcomes (e.g., sociodemographic variables, personality).
C. To investigate behavior maintenance by assessing the intervention outcomes at six months of follow-up (i.e., 12 months after baseline).
D. To investigate which smartphone sensor data might be effective in predicting user state of receptivity to LvL UP notifications (receptivity: the likelihood of engaging with a LvL UP notification, operationalized as higher response rate and decreased response time).
E. To investigate which signals (e.g., audio signals, usage patterns) are most useful for predicting the presence of subclinical depression, anxiety, stress and/or other mental health conditions.
F. To validate a 7-day modified Food Frequency Questionnaire based on My Healthy Plate recommendations by Singapore Health Promotion Board (HPB).
G. To develop and evaluate a supervised non-responder / dropout prediction model using retrospective user app engagement data from the trial.
H. To explore views on climate and climate change and assess their perceived impact (including impact on health behaviours).
The study was powered to compare the baseline to 6 months change in mental well-being between LvL UP (A+B) and the comparison condition and between LvL UP + adaptive MI (A+C) versus the comparison condition (primary objective). For both comparisons, we assume the effect size (Cohen's d) for well-being to be 0.3 and the responder rate to stage 1 intervention (LvL UP) to be 50%. The effect size was estimated by aggregating data from five meta-analyses on mHealth interventions and their reported impact on participant's mental well-being. To obtain a marginal power of at least 80% with a two-tailed Type I error rate of 5% for each outcome, 458 participants will be required; we further buffer for 73% retention following a recent meta-analysis estimate for digital health interventions lasting more than 8 weeks, rounding the number for a final sample size of 650. Therefore, 217 participants will be randomized to the comparison condition, and 433 participants will be randomized to start with stage 1 intervention (LvL UP), of which we estimate about 217 participants (50% non-responders) will be re-randomized to either continue with LvL UP or receive MI at stage 2 (LvL UP + adaptive MI). Participants randomized to group 1 (LvL UP) are asked to nominate a LvL UP Buddy, which will take part in the process evaluation. The total sample size is thus 1,073 (650 as main participants and 423 as LvL UP Buddies). The above sample size calculations might be refined based on the LvL UP pilot study results.
Recruitment & Eligibility
- Status
- ACTIVE_NOT_RECRUITING
- Sex
- All
- Target Recruitment
- 1073
(i) aged 21 to 59 years,
(ii) Singapore citizens, permanent residents, or foreigners residing in Singapore on long-term passes with at least 1 year of validity remaining,
(iii) planning to reside in Singapore for the duration of the study (eligible participants can undertake sporadic trips overseas, as long as these do not conflict with in-person study visits),
(iv) proficient in English (the LvL UP app is currently only available in English),
(v) owners of a smartphone (minimum requirements: iOS version 12.4 and Android version 8) with internet access,
(vi) able to provide informed consent, and
(vii) identified as 'at risk' of developing non-communicable diseases and/or common mental disorders.
(i) diagnosed with one of the following chronic diseases: heart disease (e.g., heart attack and stroke), cancer, chronic respiratory diseases (e.g., chronic obstructed pulmonary disease and asthma), diabetes (type 1 or type 2), or chronic kidney disease.
(ii) diagnosed with one of the following mental disorders: major depressive disorders (depression), bipolar, eating disorders, post-traumatic stress disorder (PTSD), anxiety disorders, severe personality disorder, substance use disorders, or other mental health conditions diagnosed by a mental health professional.
(iii) pregnant, (iv) currently taking medications prescribed for high blood pressure or high blood glucose.
(v) past or current LvL UP users, including participants from the LvL UP pilot trial (NCT06360029) or HAPPY trial (Harnessing Human Potential and Improving Health Span in Women and their Children Trial).
(vi) already participating or planning to participate in the LvL UP trial as a 'LvL UP Buddy'.
(vii) enrolled or planning to enroll in another lifestyle intervention research study before or during the study period.
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SEQUENTIAL
- Arm && Interventions
Group Intervention Description LvL UP LvL UP Downloading and using the LvL UP app LvL UP + MI LvL UP + MI Downloading and using the LvL UP app + taking part in motivational interviewing support sessions Comparison Comparison Receiving healthy lifestyle and mental well-being resources from Singapore's Health Promotion Board
- Primary Outcome Measures
Name Time Method Mental well-being (Warwick-Edinburgh Mental Well-being Scale) Baseline, month 1, month 3, month 6, month 9, month 12 Assessed using the Warwick-Edinburgh Mental Well-being Scale (WEMWBS-14). The total score ranges from 14 to 70, with higher values indicating higher mental well-being.
- Secondary Outcome Measures
Name Time Method Subjective well-being (World Health Organization Well-Being Index) Baseline, month 1, month 3, month 6, month 9, month 12 Assessed using the World Health Organization Well-Being Index (WHO-5). The total score ranges from 0 to 25, with higher values indicating higher well-being.
Mental health (depression - Patient Health Questionnaire-9) Baseline, month 1, month 3, month 6, month 9, month 12 Assessed using the Patient Health Questionnaire-9. The total score ranges from 0 to 27. Scores of 0-4, 5-9, 10-14, 15-19, 20-27 are the ranges for none, mild, moderate, moderately severe and severe depression, respectively.
Mental health (stress - Kessler Psychological Distress Scale) Baseline, month 1, month 3, month 6, month 9, month 12 Assessed using the Kessler Psychological Distress Scale (K6). The total score ranges from 10 to 50, with higher values indicating higher levels of psychological distress.
Health-related quality of life (European Quality of Life 5 Dimensions 5 Level Version) Baseline, month 3, month 6, month 9, month 12 Assessed using the European Quality of Life 5 Dimensions 5 Level Version (EQ-5D-5L). The EQ-5D-5L descriptive system of 5 health dimensions (Mobility, Self-care, Usual activities, Pain / discomfort, Anxiety / depression) includes 5 response categories of no problem, slight problems, moderate problems, severe problems, and extreme problems. Health states are scored to give the EQ-5D-5L index using a scoring algorithm from a value set derived from valuation tasks undertaken with general population samples.
Health behaviours (physical activity - International Physical Activity Questionnaire) Baseline, month 1, month 3, month 6, month 9, month 12 Assessed using the International Physical Activity Questionnaire (IPAQ-long). Results can be reported in categories (low activity levels, moderate activity levels or high activity levels) or as a continuous variable (MET minutes a week).
Health behaviours (steps - smartphone-based) Throughout the study period (i.e., assessed every day during 12 months) Smartphone-based steps
Health behaviours (sleep - Pittsburgh Sleep Quality Index) Baseline, month 6, month 12 Assessed using the Pittsburgh Sleep Quality Index (PSQI). The total score ranges from 0 to 27, with higher scores indicating more acute sleep disturbances.
Health behaviours (smoking and alcohol consumption - ad hoc questionnaire) Baseline, month 6, month 12 Assessed using a short quantity-frequency survey on smoking and alcohol consumption used in previous epidemiological studies
Anthropometry (body weight) Baseline, month 6 During study visits research staff will assess participants' body weight in kilograms. Weight and height will be combined to report Body Mass Index (BMI) in kg/m2.
Anthropometry (body height) Baseline, month 6 During study visits research staff will assess participants' body height in meters. Weight and height will be combined to report Body Mass Index (BMI) in kg/m2.
Anthropometry (waist circumference) Baseline, month 6 During study visits research staff will assess participants' waist circumference in meters.
Anthropometry (hip circumference) Baseline, month 6 During study visits research staff will assess participants' hip circumference in meters.
Anthropometry (body composition) Baseline, month 6 To assess body composition we will use a Tanita MC-780 scale using bioelectrical impedance to register resistance, reactance, lean body mass (kg), and the percentage of body fat.
Anthropometry (self-reported height and weight) month 1, month 3, month 9, month 12 Self-reported height (kilograms) and weight (meters) via online survey. Weight and height will be combined to report Body Mass Index (BMI) in kg/m2.
Resting blood pressure Baseline, month 6 During study visits research staff will assess diastolic and systolic blood pressure using an automated blood pressure monitor (Dinamap - Carescape V100, GE Pacific).
Health behaviours (diet quality 1 - diet screener) Baseline, month 1, month 3, month 6, month 9, month 12 Assessed using a 37-item diet screener developed and validated in Singapore
Health behaviours (diet quality 2 - ad hoc Food Frequency Questionnaire) Baseline, month 1, month 3, month 6, month 9, month 12 Modified 7-item Food Frequency Questionnaire (ad hoc) assessing diet quality
Blood metabolic profile (concentration of albumin, creatinine, DHEA-S, HbA1c, hsCRP, TC, HDL, TG, LDL-calculated, random glucose, and full blood count) Baseline, month 6 During study visits research staff will collect a non-fasting venous blood sample to assess the following blood markers: albumin, creatinine, DHEA-S, HbA1c, hsCRP, lipid panel (TC, HDL, TG and LDL-calculated), random glucose, and full blood count.
Blood metabolic profile (food intake and health status) Baseline, month 6 Immediately before the blood drawing procedure participants will be asked about their last food intake and whether they are feeling sick (or have been sick in the past few days), as these have an impact in the blood test results.
Self-reported health status Baseline, month 3, month 6, month 9, month 12 Assessed using the following item: "Would you say your health in general is..." (Excellent / Very good / Fair / Poor)
Change in health status Baseline, month 3, month 6, month 9, month 12 Assessed using the following item: "Compared with 3 months ago, would you say your health is now..." (Better / Worse / About the same)
Trial Locations
- Locations (2)
Saw Swee Hock School of Public Health
🇸🇬Singapore, Singapore
Singapore ETH Center
🇸🇬Singapore, Singapore