Adults, Lifestyle, mHealth, Mobile Applications, Quality of Life
Conditions
Brief summary
The aim of this study is to evaluate if modern technology such as smartphone applications can be used to facilitate lifestyle changes and thereby improve health-related quality of life in gainfully employed persons in the general population in Stockholm, Sweden. The hypothesis is that at follow-up, the intervention group that use the new application will have improved health-related quality of life and other lifestyle habits including diet, physical activity and sleep, as well as biomarkers, compared to a control group.
Interventions
Access to the smartphone-app during 12 weeks. A personal health goal related to for example diet, physical activity or stress habits, is set together with a heath coach. Participants receive continuous coaching every 4 weeks during follow-up.
Access to the smartphone-app during 12 weeks. A personal health goal related to for example diet, physical activity or stress habits, is set together with a heath coach. Participants receive continuous coaching every 4 weeks during follow-up.
Sponsors
Study design
Eligibility
Inclusion criteria
* 18 years of age or older * Ability to communicate in Swedish * Have access to and use a smartphone
Exclusion criteria
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Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Health related quality of life assessed by the RAND-36 questionnaire | 12-weeks follow-up | Mental and Physical Health Scores (range 0-100) are assessed using 36 questions |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| HbA1c (Heamoglobin A1c) | Baseline (week 0) and at 12-weeks follow-up | mmol/mol |
| Physical activity | Baseline (week 0) and at 12-weeks follow-up | Minutes per day spent on a sedentary, light, moderate or higher activity level assessed using accelerometers |
| Total cholesterol | Baseline (week 0) and at 12-weeks follow-up | (mmol/L) |
| Apolipoprotein A1 | Baseline (week 0) and at 12-weeks follow-up | (g/l) |
| Apolipoprotein B | Baseline (week 0) and at 12-weeks follow-up | (g/l) |
| Body Mass Index | Baseline (week 0) and at 12-weeks follow-up | (kg/m2) |
| Body weight | Baseline (week 0) and at 12-weeks follow-up | (kg) |
| Waist circumference | Baseline (week 0) and at 12-weeks follow-up | (cm) |
| Body composition | Baseline (week 0) and at 12-weeks follow-up | (%Body Fat) |
| Blood pressure (Systolic and Diastolic) | Baseline (week 0) and at 12-weeks follow-up | (mmHg) |
Other
| Measure | Time frame | Description |
|---|---|---|
| Change in eating behaviors according to the Three Factor Eating Questionnaire (TFEQ) | Baseline (week 0) and at 12-weeks follow-up | Emotional eating, uncontrolled eating, and cognitive restricted eating are assessed using a 21-item questionnaire |
| Change in sleeping habits | Baseline (week 0) and at 12-weeks follow-up | Assessed using a modified 13-item Karolinska Sleep questionnaire |
| Change in perceived Purpose In Life (PIL) | Baseline (week 0) and at 12-weeks follow-up | 6-item questionnaire |
| Change in perceived stress levels | Baseline (week 0) and at 12-weeks follow-up | Assessed using the 14-item perceived stress scale (PSS) |
| Change in motivation to make lifestyle changes | Baseline (week 0) and at 12-weeks follow-up | Assessed using Prochaskas' transtheoretical model of behavior change |
| Social support for an overall healthy lifestyle | Baseline (week 0) | Social support for maintenance of a healthy Lifestyle from family, friends and co-workers is assessed by a 5-item questionnaire |
| Change in self-reported sitting time and physical activity | Baseline (week 0) and at 12-weeks follow-up | Assessed by 6 questions on sitting time and exercise |
| Change in dietary habits | Baseline (week 0) and at 12-weeks follow-up | Intake of macro- and Micro nutrients are assessed based on responses to a food frequency questionnaire |
| Change in tobacco use (user/non-user) | Baseline (week 0) and at 12-weeks follow-up | Smoking and Swedish snuff use |
Countries
Sweden