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| Name | Class |
|---|---|
| Research Institutes of Sweden | OTHER |
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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| App technology and coaching | Experimental | Participants in the intervention group with app technology and coaching participate in a first meeting with the coach and will thereafter receive active support from the coach every 4 weeks for the duration of the intervention. |
|
| App technology only | Experimental | Participants in the intervention group with only app technology participate in a first meeting with the coach but do not get any additional support during follow-up. |
|
| Control group | No Intervention | Participants in the control group participate in baseline assessments. The control group will get access to the app and will have a meeting with a coach after 12 weeks of follow-up. |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| App-technology and active coaching to improve lifestyles behaviors | Behavioral | 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. |
| Measure | Description | Time Frame |
|---|---|---|
| Health related quality of life assessed by the RAND-36 questionnaire | Mental and Physical Health Scores (range 0-100) are assessed using 36 questions | 12-weeks follow-up |
| Measure | Description | Time Frame |
|---|---|---|
| Physical activity | Minutes per day spent on a sedentary, light, moderate or higher activity level assessed using accelerometers | Baseline (week 0) and at 12-weeks follow-up |
| HbA1c (Heamoglobin A1c) |
| Measure | Description | Time Frame |
|---|---|---|
| Change in dietary habits | Intake of macro- and Micro nutrients are assessed based on responses to a food frequency questionnaire | Baseline (week 0) and at 12-weeks follow-up |
| Change in eating behaviors according to the Three Factor Eating Questionnaire (TFEQ) |
Inclusion Criteria:
Exclusion Criteria:
-
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Karolinska Institutet | Stockholm | Select One... | 17176 | Sweden |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 35311677 | Derived | Bonn S, Licitra G, Bellocco R, Trolle Lagerros Y. Clinical Outcomes Among Working Adults Using the Health Integrator Smartphone App: Analyses of Prespecified Secondary Outcomes in a Randomized Controlled Trial. J Med Internet Res. 2022 Mar 21;24(3):e24725. doi: 10.2196/24725. | |
| 32452817 | Derived | Melin J, Bonn SE, Pendrill L, Trolle Lagerros Y. A Questionnaire for Assessing User Satisfaction With Mobile Health Apps: Development Using Rasch Measurement Theory. JMIR Mhealth Uhealth. 2020 May 26;8(5):e15909. doi: 10.2196/15909. |
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|
| App-technology to improve lifestyle behaviors | Behavioral | 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. |
|
mmol/mol
| Baseline (week 0) and at 12-weeks follow-up |
| Total cholesterol | (mmol/L) | Baseline (week 0) and at 12-weeks follow-up |
| Apolipoprotein A1 | (g/l) | Baseline (week 0) and at 12-weeks follow-up |
| Apolipoprotein B | (g/l) | Baseline (week 0) and at 12-weeks follow-up |
| Body Mass Index | (kg/m2) | Baseline (week 0) and at 12-weeks follow-up |
| Body weight | (kg) | Baseline (week 0) and at 12-weeks follow-up |
| Waist circumference | (cm) | Baseline (week 0) and at 12-weeks follow-up |
| Body composition | (%Body Fat) | Baseline (week 0) and at 12-weeks follow-up |
| Blood pressure (Systolic and Diastolic) | (mmHg) | Baseline (week 0) and at 12-weeks follow-up |
Emotional eating, uncontrolled eating, and cognitive restricted eating are assessed using a 21-item questionnaire |
| Baseline (week 0) and at 12-weeks follow-up |
| Change in tobacco use (user/non-user) | Smoking and Swedish snuff use | Baseline (week 0) and at 12-weeks follow-up |
| Change in sleeping habits | Assessed using a modified 13-item Karolinska Sleep questionnaire | Baseline (week 0) and at 12-weeks follow-up |
| Change in perceived Purpose In Life (PIL) | 6-item questionnaire | Baseline (week 0) and at 12-weeks follow-up |
| Change in perceived stress levels | Assessed using the 14-item perceived stress scale (PSS) | Baseline (week 0) and at 12-weeks follow-up |
| Change in motivation to make lifestyle changes | Assessed using Prochaskas' transtheoretical model of behavior change | Baseline (week 0) and at 12-weeks follow-up |
| Social support for an overall healthy lifestyle | Social support for maintenance of a healthy Lifestyle from family, friends and co-workers is assessed by a 5-item questionnaire | Baseline (week 0) |
| Change in self-reported sitting time and physical activity | Assessed by 6 questions on sitting time and exercise | Baseline (week 0) and at 12-weeks follow-up |
| 30845949 | Derived | Bonn SE, Lof M, Ostenson CG, Trolle Lagerros Y. App-technology to improve lifestyle behaviors among working adults - the Health Integrator study, a randomized controlled trial. BMC Public Health. 2019 Mar 7;19(1):273. doi: 10.1186/s12889-019-6595-6. |