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INTRODUCTION We explored which dementia risk factors in two multidomain prevention trials mediate beneficial, neutral, or counteracting effects on dementia incidence. METHODS We pooled data from the multidomain MAPT (Multidomain Alzheimer Preventive Trial; n = 1679, up to 5‐year follow‐up) and preDIVA trials (Prevention of Dementia by Intensive Vascular Care; n = 3526, up to 12‐year follow‐up) in adults aged 70+. We used multiple mediation analysis to quantify the role of 2‐year changes in body mass index, systolic blood pressure, total cholesterol, and physical activity in the intervention effects on dementia incidence. Mixed linear and Cox proportional hazard models were used to explore pathways. RESULTS We observed no mediation of individual risk factors in the effect of the interventions on dementia incidence. The interventions slightly lowered only blood pressure, but this did not translate into an effect on dementia incidence. DISCUSSION In older populations, multidomain interventions may not sufficiently affect dementia risk factors to lower dementia incidence, particularly in settings where cardiovascular risk factor management is well implemented. Highlights There is no mediating role of risk factor change in the effects of multidomain interventions on dementia incidence in two large dementia prevention randomized controlled trials. The lack of effect of the interventions on risk factors explains the absence of impact on dementia. Counteracting mediators do not explain the lack of effect of the interventions on dementia. A small effect of the interventions on blood pressure did not translate into a lower dementia incidence.

A recent meta-analysis showed that a Mediterranean style diet may protect against cardiovascular diseases (CVD). Studies on disease-specific associations are limited. We evaluated the Mediterranean Diet Score (MDS) in relation to incidence of total and specific CVDs. The EPIC-NL Study is a cohort of 40,011 men and women aged 20-70 years, examined between 1993 and 1997, with 10-15 years of follow-up. Diet was assessed with a validated food frequency questionnaire and the MDS was based on the daily intakes of vegetables, fruits, legumes and nuts, grains, fish, fatty acids, meat, dairy, and alcohol. Cardiovascular morbidity and mortality were ascertained through linkage with national registries. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CI) adjusted for age, sex, cohort, smoking, physical activity, total energy intake, and educational level. In 34,708 participants free of CVD at baseline, 4881 CVD events occurred, and 487 persons died from CVD. A two unit increment in MDS (range 0-9) was inversely associated with fatal CVD (HR: 0.78; 95%CI: 0.69-0.88), total CVD (HR: 0.95 (0.91-0.98)), myocardial infarction (HR: 0.86 (0.79-0.93)), stroke (HR: 0.88 (0.78-1.00)), and pulmonary embolism (HR: 0.74 (0.59-0.92)). The MDS was not related to incident angina pectoris, transient ischemic attack and peripheral arterial disease. Better adherence to a Mediterranean style diet was more strongly associated with fatal CVD than with total CVD. Disease specific associations were strongest for incident myocardial infarction, stroke and pulmonary embolism.

INTRODUCTION It is unknown in which, if any, subgroups of older adults multidomain interventions are effective at reducing long‐term dementia incidence. METHODS We pooled up to 12 years of follow‐up data from 5205 participants aged > 70 from the Multidomain Alzheimer Preventive Trial (MAPT) and Prevention of Dementia by Intensive Vascular Care (preDIVA) studies. The primary outcome was incident all‐cause dementia. Pre‐specified subgroups were defined by dementia risk factors (age, sex, education, apolipoprotein E [APOE] genotype, cognitive status, and cardiovascular risk factors). RESULTS Four hundred eighty‐six participants developed dementia during 37,782 person‐years of follow‐up. Higher incidence was associated with baseline age, APOE ε4 genotype, physical inactivity, Mini‐Mental State Examination, and blood pressure. Multidomain intervention had no effect on incident dementia overall (hazard ratio = 0.98, 95% confidence interval 0.80–1.21), or in any pre‐specified subgroup. A recursive partitioning algorithm also did not detect any subgroups, defined by single or multiple risk factors, showing a differential intervention effect. DISCUSSION We did not identify any subgroups of older adults in whom multidomain interventions significantly reduced incident dementia. CLINICAL TRIAL REGISTRATION MAPT: NCT00672685 (clinicaltrials.gov); PreDIVA: ISRCTN29711771 (ISRCTN registry) Highlights We pooled up to 12 years of follow‐up data from two multidomain prevention trials. Five thousand two hundred five participants aged ≥ 70 were included. Subgroups were pre‐defined by modifiable and non‐modifiable dementia risk factors. A data‐driven recursive partitioning algorithm was also used. Multidomain intervention did not lower incident dementia overall or in any subgroup.

Cardiovascular risk factors are associated with an increased risk of dementia. We assessed whether a multidomain intervention targeting these factors can prevent dementia in a population of community-dwelling older people. In this open-label, cluster-randomised controlled trial, we recruited individuals aged 70–78 years through participating general practices in the Netherlands. General practices within each health-care centre were randomly assigned (1:1), via a computer-generated randomisation sequence, to either a 6-year nurse-led, multidomain cardiovascular intervention or control (usual care). The primary outcomes were cumulative incidence of dementia and disability score (Academic Medical Center Linear Disability Score [ALDS]) at 6 years of follow-up. The main secondary outcomes were incident cardiovascular disease and mortality. Outcome assessors were masked to group assignment. Analyses included all participants with available outcome data. This trial is registered with ISRCTN, number ISRCTN29711771. Between June 7, 2006, and March 12, 2009, 116 general practices (3526 participants) within 26 health-care centres were recruited and randomly assigned: 63 (1890 participants) were assigned to the intervention group and 53 (1636 participants) to the control group. Primary outcome data were obtained for 3454 (98%) participants; median follow-up was 6·7 years (21 341 person-years). Dementia developed in 121 (7%) of 1853 participants in the intervention group and in 112 (7%) of 1601 participants in the control group (hazard ratio [HR] 0·92, 95% CI 0·71–1·19; p=0·54). Mean ALDS scores measured during follow-up did not differ between groups (85·7 [SD 6·8] in the intervention group and 85·7 [7·1] in the control group; adjusted mean difference −0·02, 95% CI −0·38 to 0·42; p=0·93). 309 (16%) of 1885 participants died in the intervention group, compared with 269 (16%) of 1634 participants in the control group (HR 0·98, 95% CI 0·80–1·18; p=0·81). Incident cardiovascular disease did not differ between groups (273 [19%] of 1469 participants in the intervention group and 228 [17%] of 1307 participants in the control group; HR 1·06, 95% CI 0·86–1·31; p=0·57). A nurse-led, multidomain intervention did not result in a reduced incidence of all-cause dementia in an unselected population of older people. This absence of effect might have been caused by modest baseline cardiovascular risks and high standards of usual care. Future studies should assess the efficacy of such interventions in selected populations. Dutch Ministry of Health, Welfare and Sport; Dutch Innovation Fund of Collaborative Health Insurances; and Netherlands Organisation for Health Research and Development.

A healthy dietary pattern defined by international recommendations of the World Health Organisation (WHO) has been shown to reduce overall mortality risk. It is unknown whether this healthy dietary pattern is associated with overall cancer incidence. In total 35,355 men and women within the Dutch European Prospective Investigation into Cancer and Nutrition-cohort were followed for cancer occurrence. Diet was assessed through a validated food-frequency questionnaire. We computed a dietary score for all participants based on the seven WHO dietary guidelines for the prevention of chronic diseases (Healthy Diet Indicator (HDI)). We used the existing HDI score based on the 1990 WHO guidelines, and adapted it to meet with the 2002 WHO guidelines. Multivariate-adjusted Cox proportional hazards analysis was used to examine the association between adherence to the HDI and subsequent overall cancer risk. A number of 3,007 new cancers were identified during a mean follow-up of 12.7 years. Adherence to the HDI was not associated with a reduced overall cancer risk. The hazard ratio (HR) of overall cancer associated with a one-point increment of the HDI was 0.96 (95% CI 0.89-1.03) in men, and 1.00 (95% CI 0.96-1.04) in women. Adherence to the HDI was not associated with smoking-related cancer ((HR men: 0.94 (95% CI 0.84-1.04); HR women: 1.00 (95% CI 0.94-1.07)), or alcohol-related cancer ((HR men: 1.02 (95% CI 0.87-1.20); HR women: 1.03 (95% CI 0.98-1.08)). Greater adherence to the WHO's Healthy Diet Indicator, a dietary pattern for prevention of chronic diseases, was not associated with reduced overall, smoking-related or alcohol-related cancer risk in men or women.

Digital health interventions could help to prevent age-related diseases, but little is known about how older adults engage with such interventions, especially in the long term, or whether engagement is associated with changes in clinical, behavioral, or biological outcomes in this population. Disparities in engagement levels with digital health interventions may exist among older people and be associated with health inequalities. This study aimed to describe older adults' engagement with an eHealth intervention, identify factors associated with engagement, and examine associations between engagement and changes in cardiovascular and dementia risk factors (blood pressure, cholesterol, BMI, physical activity, diet, and cardiovascular and dementia risk scores). This was a secondary analysis of the 18-month randomized controlled Healthy Ageing Through Internet Counselling in the Elderly trial of a tailored internet-based intervention encouraging behavior changes, with remote support from a lifestyle coach, to reduce cardiovascular and cognitive decline risk in 2724 individuals aged ≥65 years, recruited offline in the Netherlands, Finland, and France. Engagement was assessed via log-in frequency, number of lifestyle goals set, measurements entered and messages sent to coaches, and percentage of education materials read. Clinical and biological data were collected during in-person visits at baseline and 18 months. Lifestyle data were self-reported on a web-based platform. Of the 1389 intervention group participants, 1194 (85.96%) sent at least one message. They logged in a median of 29 times, and set a median of 1 goal. Higher engagement was associated with significantly greater improvement in biological and behavioral risk factors, with evidence of a dose-response effect. Compared with the control group, the adjusted mean difference (95% CI) in 18-month change in the primary outcome, a composite z-score comprising blood pressure, BMI, and cholesterol, was -0.08 (-0.12 to -0.03), -0.04 (-0.08 to 0.00), and 0.00 (-0.08 to 0.08) in the high, moderate, and low engagement groups, respectively. Low engagers showed no improvement in any outcome measures compared with the control group. Participants not using a computer regularly before the study engaged much less with the intervention than those using a computer up to 7 (adjusted odds ratio 5.39, 95% CI 2.66-10.95) or ≥7 hours per week (adjusted odds ratio 6.58, 95% CI 3.21-13.49). Those already working on or with short-term plans for lifestyle improvement at baseline, and with better cognition, engaged more. Greater engagement with an eHealth lifestyle intervention was associated with greater improvement in risk factors in older adults. However, those with limited computer experience, who tended to have a lower level of education, or who had poorer cognition engaged less. Additional support or forms of intervention delivery for such individuals could help minimize potential health inequalities associated with the use of digital health interventions in older people.

IntroductionThe Mobile Health (mHealth) Intervention for Dementia Prevention through lifestyle Optimisation (MIND-PRO) study addresses the increasing prevalence of dementia among populations with lower socio-economic status (SES) and/or a migration background. The study aims to evaluate the effectiveness and implementation of an mHealth intervention designed for self-managing lifestyle modifications with remote coaching to reduce dementia risk factors.Methods and analysisThis prospective randomised open-label blinded end point (PROBE) trial follows a type 2 hybrid effectiveness-implementation design with a 12-month intervention period. It aims to recruit 692 participants in Dutch primary care. Entry criteria include age 50–75 years, low SES and/or migration background, one or more dementia risk factors (hypertension, dyslipidaemia, diabetes mellitus, physical inactivity, smoking, depression and overweight) or manifest cardiovascular disease and possession of a smartphone. Participants are randomised to a coach-supported, interactive app facilitating self-management of dementia risk factors or to a control app with static health information. The primary effectiveness outcome is a composite score of systolic blood pressure, non-high-density lipoprotein cholesterol and body mass index. Implementation outcomes include coverage, adoption, acceptability, appropriateness, feasibility, fidelity, costs and sustainability of the intervention. Secondary outcomes include the Cardiovascular Risk Factors, Ageing and Dementia risk score and its individual risk factors, and disability, physical activity, depressive symptoms, cognitive functioning and daily distance moved.Ethics and disseminationThe MIND-PRO trial is funded by the Netherlands Organisation for Health Research and Development (ZonMw, grant number 10510032120004) and approved by the Ethics Committee of Amsterdam UMC (reference: METC 2023.0770). Results are expected in 2026 and will be submitted for publication in a peer-reviewed journal, and presented at scientific conferences.Trial registration number ISRCTN92928122.

ObjectivesIndividuals with a low socioeconomic status (SES) have an increased risk of cardiovascular disease (CVD) and dementia, partly due to the high prevalence of unhealthy behaviours in this population. Interventions targeting lifestyle-related risk factors can potentially delay or prevent CVD and dementia onset. In this study, we explore the attitudes, experiences and views of low SES older adults on healthy lifestyles for the prevention of CVD and dementia. We also aim to study the potential role for coach-supported mobile health (mHealth) use, facilitating the development of the Prevention of Dementia using Mobile Phone Applications intervention.DesignWe performed semi-structured interviews and used thematic analysis to analyse the data.SettingRecruitment through multiple general practices in the Netherlands.ParticipantsDutch non-demented adults aged ≥55, at increased risk of dementia, who possess a smartphone. Participants were purposively sampled on age, sex and history of CVD and diabetes.ResultsBetween May 2018 and June 2019, we performed 19 interviews. Five main themes were: (1) participants perceived little influence on their future health, (2) the sacrifices of healthy lifestyles outweighed the potential benefits, (3) physical complaints or disease could prompt behaviour change, (4) participants perceived they had limited self-efficacy to change their behaviour and (5) the social network had an important role in behaviour change. Needs regarding mHealth support were an easy-to-use smartphone application with trustworthy health information, which is provided in a non-obligatory way.ConclusionsLow SES older adults may benefit from lifestyle interventions that aim to improve self-efficacy levels by (remote) human support. Appropriateness and attractiveness of such interventions may increase when taking into account the participant’s own autonomy, and when emphasising the direct gains of lifestyle changes for daily life. Moreover, involving the social network may be a valuable approach when developing lifestyle interventions for low SES older adults.Trial registration numberPRODEMOS trial, ISRCTN15986016; Pre-results.

Pooling individual participant data to enable pooled analyses is often complicated by diversity in variables across available datasets. Therefore, recoding original variables is often necessary to build a pooled dataset. We aimed to quantify how much information is lost in this process and to what extent this jeopardizes validity of analyses results. Data were derived from a platform that was developed to pool data from three randomized controlled trials on the effect of treatment of cardiovascular risk factors on cognitive decline or dementia. We quantified loss of information using the R-squared of linear regression models with pooled variables as a function of their original variable(s). In case the R-squared was below 0.8, we additionally explored the potential impact of loss of information for future analyses. We did this second step by comparing whether the Beta coefficient of the predictor differed more than 10% when adding original or recoded variables as a confounder in a linear regression model. In a simulation we randomly sampled numbers, recoded those < = 1000 to 0 and those >1000 to 1 and varied the range of the continuous variable, the ratio of recoded zeroes to recoded ones, or both, and again extracted the R-squared from linear models to quantify information loss. The R-squared was below 0.8 for 8 out of 91 recoded variables. In 4 cases this had a substantial impact on the regression models, particularly when a continuous variable was recoded into a discrete variable. Our simulation showed that the least information is lost when the ratio of recoded zeroes to ones is 1:1. Large, pooled datasets provide great opportunities, justifying the efforts for data harmonization. Still, caution is warranted when using recoded variables which variance is explained limitedly by their original variables as this may jeopardize the validity of study results.

Lack of attention to missing data in research may result in biased results, loss of power and reduced generalizability. Registering reasons for missing values at the time of data collection, or-in the case of sharing existing data-before making data available to other teams, can save time and efforts, improve scientific value and help to prevent erroneous assumptions and biased results. To ensure that encoding of missing data is sufficient to understand the reason why data are missing, it should ideally be context-free. Therefore, 11 context-free codes of missing data were carefully designed based on three completed randomized controlled clinical trials and tested in a new randomized controlled clinical trial by an international team consisting of clinical researchers and epidemiologists with extended experience in designing and conducting trials and an Information System expert. These codes can be divided into missing due to participant and/or participation characteristics (n = 6), missing by design (n = 4), and due to a procedural error (n = 1). Broad implementation of context-free missing data encoding may enhance the possibilities of data sharing and pooling, thus allowing more powerful analyses using existing data.