Biomedical subjects

Corneel Vandelanotte

Publications and source records attributed to Corneel Vandelanotte.

6 recordsLinked to original sources

PubMed2007

Evaluation of a website-delivered computer-tailored intervention for increasing physical activity in the general population.

OBJECTIVE: To examine if a website-delivered physical activity intervention, that provides participants with computer-tailored feedback, can improve physical activity in the general population. METHODS: Healthy adults (n=434), recruited from parents and staff of 14 primary and secondary schools in Belgium in the spring of 2005, were allocated into one of two intervention groups (receiving intervention with or without repeated feedback) or a no-intervention control group. Physical activity-levels were self-reported at baseline and at 6 months (n=285), using a computerized long version of the International Physical Activity Questionnaire online. Repeated measures analysis of co-variances were used to examine differences between the three groups. RESULTS: Intent-to-treat analysis showed significant time by group interaction effects in favor of both intervention groups compared with the control group. Significant increases were found for active transportation (+20, +24, +11 min/week respectively) and leisure-time physical activity (+26, +19, -4 min/week respectively); a significant decrease for minutes sitting on weekdays (-22, -34, +4 min/day respectively). No significant differences were found between both intervention groups. CONCLUSION: A website-delivered intervention, including computer-tailoring, was able to increase physical activity when compared to a no-intervention control group. High drop-out rate and the low number of participants who received repeated feedback indicated that engagement and retention are important challenges in e-health studies.

Adult↗

PubMed2005

Efficacy of sequential or simultaneous interactive computer-tailored interventions for increasing physical activity and decreasing fat intake.

BACKGROUND: Little evidence exists about the effectiveness of "interactive" computer-tailored interventions and about the combined effectiveness of tailored interventions on physical activity and diet. Furthermore, it is unknown whether they should be executed sequentially or simultaneously. PURPOSE: The purpose of this study was to examine (a) the effectiveness of interactive computer-tailored interventions for increasing physical activity and decreasing fat intake and (b) which intervening mode, sequential or simultaneous, is most effective in behavior change. METHODS: Participants (N = 771) were randomly assigned to receive (a) the physical activity and fat intake interventions simultaneously at baseline, (b) the physical activity intervention at baseline and the fat intake intervention 3 months later, (c) the fat intake intervention at baseline and the physical activity intervention 3 months later, or (d) a place in the control group. RESULTS: Six months postbaseline, the results showed that the tailored interventions produced significantly higher physical activity scores, F(2, 573) = 11.4, p < .001, and lower fat intake scores, F(2, 565) = 31.4, p < .001, in the experimental groups when compared to the control group. CONCLUSIONS: For both behaviors, the sequential and simultaneous intervening modes showed to be effective; however, for the fat intake intervention and for the participants who did not meet the recommendation in the physical activity intervention, the simultaneous mode appeared to work better than the sequential mode.

Adult↗

PubMed2004

Acceptability and feasibility of an interactive computer-tailored fat intake intervention in Belgium.

In order to reduce the risk of chronic diseases health authorities recommend restricting fat intake to 30% of the total energy uptake. However, fat intake in Belgium is much higher warranting interventions aimed at reducing fat intake. Tailored interventions have shown to be promising; however, studies on effectiveness of interactive computer-tailored systems are needed. We investigated the acceptability and feasibility of a recently developed interactive computer-tailored fat reduction intervention. Differences in the reported acceptability and feasibility according to demographic and stages of change were explored. Participants (n = 220) completed a computerized questionnaire, and received a personal fat intake advice, which was almost immediately displayed on screen. They also completed an evaluation questionnaire, during and after they ran the tailored program, with questions on the quality, user-friendliness and applicability of the program. Participants rated the program positively on all aspects. No significant differences in acceptability and feasibility scores were found according to sex, education levels and computer literacy. Although several significant differences were found between age groups and stages of change (oldest group, contemplators and preparators were more positive about the program), the importance of these differences is probably not great, since acceptability and feasibility scores for the different age groups and stages of change were always very high. These results suggest that the computer-tailored intervention is an acceptable and feasible tool for reducing fat intake in a general population in Belgium.

Adult↗

PubMed2003

Acceptability and feasibility of a computer-tailored physical activity intervention using stages of change: project FAITH.

This study investigated the feasibility and acceptability of a new computer-tailored intervention promoting physical activity in a general population, and explored if there are differences in the reported feasibility and acceptability between stages of change, gender, age groups, education levels and familiarity with computer use. The computer-tailored intervention program consists of questionnaires concerning demographics, physical activity and psychosocial determinants, leading to a 'physical activity advice' and an 'action plan'. This feedback was constructed taking the stages of change into account, at content level as well as in the way participants were approached. One hundred and ninety-two participants, between 25 and 55 years of age, ran through the tailored materials, and completed an acceptability and feasibility questionnaire afterwards. This questionnaire contained feasibility and acceptability questions about all the intervention aspects: intervention questions, physical activity advice, action plan and computer use. High acceptability and feasibility scores were found for all intervention parts. Only a few significant differences in acceptability and feasibility scores between stages of change, gender, age groups, education levels and familiarity with computer use were found. These results suggest that this computer-tailored intervention is an acceptable and feasible tool for promoting physical activity for respondents having different stages of change, ages, gender, education levels and computer use.

Adult↗

PubMed2002

Tracking and explanation of physical activity in young adults over a 7-year period.

Tracking and explaining physical activity in young adults was investigated in a 7-year longitudinal design. From a representative sample of 980 respondents at baseline (M age = 21 years), 172 respondents, comprising 18% of the original sample, completed psychosocial questionnaires and were interviewed at home to assess their level of physical activity at follow-up. Psychosocial variables were grouped into four groups: social variables, self-efficacy, perceived benefits, and perceived barriers. Drop-out analyses showed no major differences between the baseline and follow-up samples. The aims of the present study were: (a) to investigate tracking in physical activity and psychosocial determinants over a 7-year period, and (b) to examine baseline determinants and change in determinants in predicting physical activity change in men and women. No significant tracking of physical activity level was found for men. For women, moderate tracking scores were found for total energy expenditure and moderate-intensity energy expenditure (r = .34 and .41, respectively). There was higher tracking in psychosocial determinants than in physical activity. Relatively high tracking scores for perceived benefits and barriers suggest that cognitions related to physical activity are more stable than the behavior itself. Although baseline psychosocial variables were poor predictors of physical activity change, determinants'change scores accounted for 16-19% of the variance in physical activity in men and 7-24% in women. Significant predictors were different for men and women. Present results can inform the design of physical activity interventions for these populations.

Adaptation, Psychological↗

PubMed2002

Differences in impact between a family- versus an individual-based tailored intervention to reduce fat intake.

The present study investigates the impact of a tailored nutrition intervention on the reduction of fat intake and on psychosocial determinants of fat intake. Furthermore, differences in impact between a family-based intervention (tailoring two family members, one adult and one child, simultaneously) and an individual-based intervention (tailoring one family member, one adult or one child) were studied. Analyses were conducted among 180 respondents, comparing 44 adolescents in the family condition with 50 adolescents in the individual condition and 44 parents in the family condition with 40 parents in the individual condition. Respondents in both conditions reported positive reactions towards the tailored fat feedback letters. Tailored fat feedback resulted in significantly more positive psychosocial determinants of fat intake and, among respondents with high fat intake at baseline, in a significant decrease in percent energy from fat. Parents in the family-based intervention group reported higher social support scores at post-test. No differences in post-test fat intake were found between the two study conditions. It is concluded that the results further illustrate the potential of tailored fat feedback, but the results do not provide evidence for superiority of family-based tailoring above individual-based tailored interventions for fat. Further research may be aimed at investigating the impact of comprehensive tailored family interventions, in which more than two family members participate.

Adolescent↗