Determinants of Dropout and Nonadherence in a Dementia Prevention Randomized Controlled Trial: The Prevention of Dementia by Intensive Vascular Care Trial

OBJECTIVES: To explore and compare sociodemographic, clinical, and neuropsychiatric determinants of dropout and nonadherence in older people participating in an open-label cluster-randomized controlled trial-the Prevention of Dementia by Intensive Vascular care (preDIVA) trial-over 6 years. DESIGN: Secondary analysis. SETTING: One hundred sixteen general practices in the Netherlands. PARTICIPANTS: Community-dwelling individuals aged 70 to 78 (N = 2,994). INTERVENTION: Nurse-led multidomain intervention targeting cardiovascular risk factors to prevent dementia. MEASUREMENTS: The associations between participant baseline sociodemographic (age, sex, education), clinical (medical history, disability, cardiovascular risk), neuropsychiatric (depressive symptoms (Geriatric Depression Scale-15), and cognitive (Mini-Mental State Examination)) characteristics and dropout from the trial and nonadherence to the trial intervention were explored using multilevel logistic regression models. RESULTS: Older age, poorer cognitive function, more symptoms of depression, and greater disability were the most important determinants of dropout of older people. The presence of cardiovascular risk factors was not associated with dropout but was associated with nonadherence. Being overweight was a risk factor for nonadherence, whereas people with high blood pressure or a low level of physical exercise adhered better to the intervention. The association between poorer cognitive function and symptoms of depression and dropout was stronger in the control group than in the intervention group, and vice versa for increased disability. CONCLUSION: In a large dementia prevention trial with 6-year follow-up, dropout was associated with older age, poorer cognitive function, symptoms of depression, and disability at baseline. These findings can help to guide the design of future dementia prevention trials in older adults. The associations found between cardiovascular risk factors and nonadherence need to be confirmed in other older populations receiving cardiovascular prevention interventions

[Web-based interventions targeting cardiovascular risk factors in older people; a systematic review and meta-analysis]

Item does not contain fulltextOBJECTIVE: To evaluate whether web-based interventions for cardiovascular risk factor management reduce the risk of cardiovascular disease in older people. DESIGN: Systematic review and meta-analysis. METHOD: Embase, Medline, Cochrane Library and CINAHL were systematically searched from January 1995 to 3 November 2014. We included all randomised controlled trials for web-based interventions targeting cardiovascular risk factors in populations with a mean age of 50 and older. The outcome measures were cardiovascular risk factors (blood pressure, HbA1c, LDL cholesterol, weight, smoking status and physical activity) and the incidence of cardiovascular disease. We used random-effects models to pool the results of the studies. RESULTS: A total of 57 studies (19,862 participants) fulfilled eligibility criteria, and 47 of these were suitable for meta-analysis. We found a significant reduction in systolic blood pressure (-2.66 mmHg, 95% CI -3.81 to -1.52), diastolic blood pressure (-1.26 mmHg, 95% CI -1.92 to -0.60), HbA1c level (-0.13%, 95% CI -0.22 to -0.05), LDL cholesterol level (-0.06 mmol/l, 95% CI -0.10 to -0.01), weight (-1.34 kg, 95% CI -1.91 to -0.77), and an increase in physical activity (standardized mean difference 0.25, 95% CI 0.10-0.39) in the intervention group when compared with the control group. Treatment effects were more pronounced in studies of short duration (< 12 months) and when combining the web-based intervention with human support by a health care professional. No difference in the incidence of cardiovascular disease was found between groups. CONCLUSION: Web-based interventions have a beneficial effect on the cardiovascular risk profile, but this effect is modest and declines with time. Currently, there is insufficient evidence that this can prevent cardiovascular disease. A focus on long-term effects, effect-sustainability and clinical endpoints is recommended for future studies

Integrating nurses' experiences with supporting behaviour change for cardiovascular prevention into a self-management internet platform in Finland and the Netherlands: a qualitative study

Contains fulltext : 204767.pdf (publisher's version ) (Open Access

Web-Based Interventions Targeting Cardiovascular Risk Factors in Middle-Aged and Older People: A Systematic Review and Meta-Analysis

BACKGROUND: Web-based interventions can improve single cardiovascular risk factors in adult populations. In view of global aging and the associated increasing burden of cardiovascular disease, older people form an important target population as well. OBJECTIVE: In this systematic review and meta-analysis, we evaluated whether Web-based interventions for cardiovascular risk factor management reduce the risk of cardiovascular disease in older people. METHODS: Embase, Medline, Cochrane and CINAHL were systematically searched from January 1995 to November 2014. Search terms included cardiovascular risk factors and diseases (specified), Web-based interventions (and synonyms) and randomized controlled trial. Two authors independently performed study selection, data-extraction and risk of bias assessment. In a meta-analysis, outcomes regarding treatment effects on cardiovascular risk factors (blood pressure, glycated hemoglobin A1c (HbA1C), low-density lipoprotein (LDL) cholesterol, smoking status, weight and physical inactivity) and incident cardiovascular disease were pooled with random effects models. RESULTS: A total of 57 studies (N=19,862) fulfilled eligibility criteria and 47 studies contributed to the meta-analysis. A significant reduction in systolic blood pressure (mean difference -2.66 mmHg, 95% CI -3.81 to -1.52), diastolic blood pressure (mean difference -1.26 mmHg, 95% CI -1.92 to -0.60), HbA1c level (mean difference -0.13%, 95% CI -0.22 to -0.05), LDL cholesterol level (mean difference -2.18 mg/dL, 95% CI -3.96 to -0.41), weight (mean difference -1.34 kg, 95% CI -1.91 to -0.77), and an increase of physical activity (standardized mean difference 0.25, 95% CI 0.10-0.39) in the Web-based intervention group was found. The observed effects were more pronounced in studies with short (<12 months) follow-up and studies that combined the Internet application with human support (blended care). No difference in incident cardiovascular disease was found between groups (6 studies). CONCLUSIONS: Web-based interventions have the potential to improve the cardiovascular risk profile of older people, but the effects are modest and decline with time. Currently, there is insufficient evidence for an effect on incident cardiovascular disease. A focus on long-term effects, clinical endpoints, and strategies to increase sustainability of treatment effects is recommended for future studies