No registrations found.
ID
Source
Brief title
Health condition
Effectiveness of a preventive web-based advice for people at (familial) risk for type 2 diabetes.
Sponsors and support
Intervention
Outcome measures
Primary outcome
1. Mean physical activity level will be measured by the self-administered short version of the International Physical Activity Questionnaire (IPAQ). Time points: Baseline, 3 months;
2. Mean saturated fat intake using a validated short food frequency questionnaire, the short Fat list. Time points: Baseline, 3 months;
3. Testing for diabetes: the percentage of people who test for diabetes after the risk information and attitudes towards taking a yearly or regular test for diabetes. Time points: Baseline, 3 months.
Secondary outcome
1. Body measures: Self-reported waist circumference, BMI (self-reported body weight and length). Time points: Baseline, 3 months;
2. Threat appraisal: people's perception about the severity of diabetes. Baseline, 1 week and 3 months;
3. Coping appraisal: Self-efficacy, response efficacy for fat intake and physical activity. Time points: Baseline, 1 week and 3 months;
4. Illness representations: Causal beliefs, and perceived personal control adapted from the revised form of the Illness Perception Questionnaire. Time points: Baseline, 1 week and 3 months;
5. Risk perception: perceived susceptibility. Time points: Baseline, 1 week and 3 months;
6. False reassurance: causal beliefs and risk perception will be used to assess false reassurance;
7. Intentions: Intentions to engage in behavioural activities (fat intake, physical activity). Time point: 1 week;
8. Psychological impact: diabetes risk worry. Time points: Baseline, 1 week and 3 months;
9. Perceived implications: perceived impact on autonomy, freedom of choice, responsibility, feelings of stigmatisation and discrimination, worries about confidentiality of the information, impact on family relationships, medicalisation, and practical aspects. Time point: 3 months.
Background summary
Family history is an important and independent risk factor for many common chronic diseases, reflecting the consequences of genetic predisposition, shared environment, and common behaviour. It is seen as a useful tool for disease prevention in public health and preventive medicine, and may be used for tailoring behavioural messages. Internet is seen as an effective way to improve health and disseminate information among the public, even when people do not perceive themselves at risk for disease. In this study type 2 diabetes is taken as an example. The main objective of this study is to investigate how the collection of a diabetes family history, interpretation and communication of familial risk information using a web-based tool affects health behaviour, and to explore the possible negative implications for individuals and their families.
Research questions are:
1. What is the impact of the collection of a family history of diabetes and communicating familial risk information of diabetes in a web-based tailored intervention on preventive behaviour?
A. What is the effect on health behaviour change (saturated fat intake, physical activity, test for diabetes)?
B. To what extent does the information affect causal beliefs, personal control, and perceived susceptibility?
C. Are people without a positive family history falsely reassured about their risk for diabetes, when the emphasis in the diabetes risk communication is on familial risk?
2. What are possible implications for the individual¡¯s freedom of choice, feelings of stigmatisation and discrimination, worries about confidentiality of the information, and impact on family relationships?
Study objective
The main objective of this study is to investigate how the collection of a diabetes family history, interpretation and communication of familial risk information using a web-based tool affects health behaviour, and to explore the possible negative implications for individuals and their families.
Study design
Baseline, 1week and 3 months.
Intervention
The (web-based) intervention consists of:
1. Familial risk assessment, in addition to diabetes risk based on general risk factors, personal risk communication containing familial risk information and lifestyle recommendations (intervention group);
2. Diabetes risk assessment based on general risk factors, personal risk communication and lifestyle recommendations (control group).
Miranda Pijl
P.O.Box 7057, VUMC
Amsterdam 1007MB
The Netherlands
+31204448381
m.pijl@vumc.nl
Miranda Pijl
P.O.Box 7057, VUMC
Amsterdam 1007MB
The Netherlands
+31204448381
m.pijl@vumc.nl
Inclusion criteria
Healthy people from the general population aged 35-65 years will be recruited. Inclusion criteria:
1. 35 to 65 years;
2. Body Mass Index (kg/m2) ¡Ý 25;
3. People with or without a postive (at least 1 first degree relative) family history of diabetes;
4. Access to a computer and internet.
Exclusion criteria
Exclusion criteria (assessed when people are invited for the study):
1. People with diagnosed diabetes type 1 or 2;
2. People unable to read and complete questionnaires in Dutch;
3. Hindus, Turks, Creoles and Moroccans, since these populations require a specific diabetes risk intervention, due to their higher than avarage risk of getting diabetes.
Design
Recruitment
Followed up by the following (possibly more current) registration
No registrations found.
Other (possibly less up-to-date) registrations in this register
No registrations found.
In other registers
| Register | ID |
|---|---|
| NTR-new | NL1828 |
| NTR-old | NTR1938 |
| Other | Scientific Committee of the EMGO Institute for Health and Care Research. : WC2008-011 |
| ISRCTN | ISRCTN wordt niet meer aangevraagd. |