mHealth Intervention to Increase Physical Activity in Prediabetes and Type 2 Diabetes

Charles University, Czech Republic343 enrolled

Overview

Sedentary behaviour has a detrimental effect on the mortality, morbidity, and well-being of patients with type 2 diabetes and prediabetes, and general practitioners should advise patients on how to self-monitor and increase their physical activity. The emergence of mobile health (mHealth) technologies unlocks the potential to further improve physical behaviour using an innovative "just-in-time" adaptive approach whereby behavioural support is provided in real-time, based on data from wearable sensors. Thus, the investigators aim to evaluate the effect of a just-in-time mHealth intervention administered by general practitioners on the physical activity and sedentary behaviour of patients with type 2 diabetes and prediabetes. A total of 340 patients will be recruited from 20 general practices across the Czech Republic and randomly assigned to either an active control or intervention group. Both groups will receive brief physical activity advice from their general practitioners and a Fitbit fitness tracker to self-monitor their daily steps, but the intervention group will also receive a mHealth-enabled just-in-time adaptive intervention and regular monthly phone counselling in the first 6 months. The mHealth intervention will be delivered using a custom-developed system (HealthReact) connected to the Fitbit that will trigger just-in-time text messages. For example, a prompt to take a break from sedentary behaviour will be triggered after 30 sedentary minutes or a motivational message with a specific goal to take more steps will be triggered when the total step count is too low. The primary outcome will be the change in daily step count at 6 months, other outcomes include changes in other physical behaviour measures, blood tests, anthropometry and patient-reported outcomes at 6 and 12 months. If the intervention is effective, this study will provide a model of health prevention that can be directly implemented and commissioned within primary care using existing infrastructure.

Study Type

INTERVENTIONAL

Allocation

RANDOMIZED

Purpose

PREVENTION

Masking

DOUBLE

Interventions

mHealthBEHAVIORAL

A mHealth-enabled just-in-time adaptive intervention that is based on the HealthReact system developed by the participating centre at the Faculty of Science of the University of Hradec Kralove. The HealthReact system consists of a server-side application that is connected to the Fitbit server. As such, the system allows for just-in-time text messages triggered by pre-defined context as recorded by the Fitbit wearable monitor. For example, a prompt to take a break from sedentary behaviour can be triggered after 30 sedentary minutes, a suggestion to increase walking cadence can be triggered when continuous, but slow walking is detected, or a motivational message with a specific goal to take more steps to reach their usual daily step count can be triggered when the total daily steps are too low. The mHealth component will be delivered for the entire duration of the study (i.e., 12 months).

phone counsellingBEHAVIORAL

Regular monthly phone calls by trained counsellors support participants in their effort to increase physical activity and reduce sedentary behaviours. The counsellors will use various behaviour change techniques, such as goal-setting, feedback, action planning, etc. The phone counselling will be provided during the first six months, i.e. 6 phone calls will be delivered.

Fitbit trackerBEHAVIORAL

Fitbit Inspire 2 will be provided by the general practitioner to study participants at the start of the study to enable objective self-monitoring of physical activity.

brief adviceBEHAVIORAL

A brief advice will be provided by the general practitioner at the start of the study.

Eligibility

Sex: ALLMin age: 18 Years

Medical Language ↔ Plain English

Inclusion Criteria: * Diagnosis of prediabetes or T2DM according to the Czech guidelines for GPs on diabetes mellitus1 and prediabetes2, i.e. fasting plasma glucose 5.6-6.9 mmol/l, or 2-h plasma glucose of 7.8-11.0 mmol/l after ingestion of 75 g of oral glucose load for the diagnosis of prediabetes, and fasting plasma glucose ≥ 7.0 mmol/l, or 2-h plasma glucose ≥ 11.1 mmol/l after ingestion of 75 g of the oral glucose load for the diagnosis of T2DM * Age 18 years or older. * Registered at a participating general practice. * Regular users of a smartphone and willing to use it as part of the study. * Written informed consent obtained before any assessment related to the study. Exclusion Criteria: * unable to walk * pregnancy * taking insulin * living in a residential or nursing care home * co-morbid conditions that would affect their adherence to the trial procedures

Outcomes

Primary Outcomes

step count

change in daily step count

Time frame: from baseline to 12-month assessment

Secondary Outcomes

chair-stand test

functional 30s chair-stand test

Time frame: at 6 and 12 months

HbA1c

haemoglobin A1c

Time frame: at 6 and 12 months

glycemia

fasting plasma glucose

Time frame: at 6 and 12 months

lipid profile

total cholesterol, LDL cholesterol, HDL cholesterol, triacylglycerids

Time frame: at 12 months

step count

change in daily step count

Time frame: at 6 months

physical behaviour - average acceleration

metric of physical activity volume

Time frame: at 6 and 12 months

physical behaviour - intensity gradient

metric of physical activity intensity

Time frame: at 6 and 12 months

sedentary time

time per day spent sedentary (in minutes)

Time frame: at 6 and 12 months

sedentary bouts

time per day (in minutes) spent sedentary in bouts of 30 mins and longer

Time frame: at 6 and 12 months

walking cadence

cadence (steps/min) in 5 (non-consecutive) highest-cadence minutes

Time frame: at 6 and 12 months

blood pressure

systolic and diastolic blood pressure

Time frame: at 6 and 12 months

Hospital Anxiety and Depression Scale (HADS)

symptoms of anxiety and depression: 14 items on a scale 0-3 (a higher score means a worse outcome)

Time frame: at 6 and 12 months

Short Form Survey (SF-12)

measure of health-related quality of life: 12 items using various scales converted to a score 0-100 (a higher score means a better outcome)

Time frame: at 6 and 12 months

body mass index

weigh in kilograms divided by height in meters squared

Time frame: at 6 and 12 months

mHealth Intervention to Increase Physical Activity in Prediabetes and Type 2 Diabetes

Overview

Conditions

Interventions

Eligibility

Locations (1)

Outcomes

Primary Outcomes

Secondary Outcomes