The Mediterranean diet is associated with multiple health benefits. Yet, no tool has been specifically developed to assess adherence to the 'traditional' Mediterranean diet and cuisine within a ...Western cohort, and validated for online use. We tested the reliability and validity of online administration of the Mediterranean Diet and Culinary Index (MediCul) among middle-aged and older adults. Participants were recruited in January⁻March 2017 from the 45 and Up Study, completing MediCul twice. Test-retest reliability was assessed using the paired
-test, intra-class correlation coefficient (ICC) and Bland-Altman plot. Validity was tested against a three-day food record (FR)-derived MediCul score using Bland-Altman and nutrient trends across the MediCul score tertiles. Participants (
= 84; 60% female; 65.4 years (SD = 5.9)), were overweight (BMI 26.1; SD = 4.0) with 1.7 (SD = 1.5) chronic illnesses/conditions. Sequential MediCul tool scores were 56.1/100.0 and 56.8/100.0, respectively (
= -1.019;
= 0.311). Reliability via ICC (ICC = 0.86, 95% CI: 0.789, 0.910,
< 0.0001) and Bland-Altman was good. In Bland-Altman validity analyses, the tool over-reported FR MediCul score by 5.6 points with no systematic bias ((y = 8.7 - 0.06*x) (95% CI: -0.278, 0.158,
= 0.584)). Nutrient trends were identified for MediCul consistent with expected Mediterranean patterns. Online MediCul administration demonstrated good reliability and moderate validity for assessing adherence to a 'traditional' Mediterranean pattern among older Australians.
Background
Dementia prevalence is increasing, and risk reduction is a priority. Online interventions that are useable and acceptable to people seeking to reduce their dementia risk are needed. We ...aimed to assess and explore end‐user perceptions of a large‐scale multidomain online intervention targeting modifiable lifestyle risk factors for dementia.
Method
Mixed methods evaluation involving Maintain Your Brain (MYB) randomised controlled trial participants 55‐77 years of age at baseline who engaged in assessments, brain training, nutrition and physical activity, and mental health modules across three years. Of 5,260 participants invited, 2,386 completed online surveys at trial conclusion of whom 1,589 offered free‐text comments. Of survey respondents, 248 agreed to be contacted for interviews, 70 were invited and 40 were interviewed. Survey respondents rated ease of use and overall experience with MYB, endorsed whether they would recommend MYB, and provided comments. Interview completers further rated satisfaction with support, expressed online or face‐to‐face setting preference, answered open‐ended questions about participation, activities and modules, and provided further comments. Data were summarised using descriptive statistics and explored using multiple qualitative methods.
Result
Respondents found computer‐based activities easy to use (92.2%), were satisfied with their overall experience (87.4%) and would recommend MYB (82.7%). Survey free‐text and interview comments addressed topics including computer literacy, health literacy, resource access, motivations, expectations, social relationships, and significant events. Perspectives on activities and information varied. Many enjoyed and/or appreciated the challenge of completing activities and assessments and the potential for health benefits from these activities. Others were disappointed by their own performance in activities and assessments, found testing and reporting repetitious, stressful and/or time‐consuming, and found educational information unhelpful. Many respondents would have preferred to access applications on phones or tablet devices and suggested that interventions should be available across platforms. Respondents wanted researchers to know that flexible and adaptive individually tailored goals and activities and timely feedback are important.
Conclusion
The MYB online multidomain dementia risk reduction program was useable and acceptable. Similar programs should be accessible, well‐supported, cross‐IT platforms, and incorporate adaptive, individually tailored activities and feedback that is responsive to the varied and changing needs of older adults.
Filling Jars to Measure Time Le, Tiffany-Chau; Sarkar, Jyotirmoy
Recreational Mathematics Magazine,
10/2021, Letnik:
8, Številka:
14
Journal Article
Odprti dostop
If water is flowing at the same constant rate through each of
⩾3 hoses, so that any one hose will fill any one of
⩾ 2 available jars in exactly one hour, then what are the fillable fractions of a ...jar, and what are the measurable fractions of an hour? Learning to systematically answer such questions will not only equip readers to fluently use fractions, but also introduce or reintroduce them gently to the Queen of Mathematics – Number Theory.
Background
Technology and web‐based approaches potentially provide scalable population‐based interventions to reduce modifiable risk factors for dementia. Key issues in online interventions are ...recruitment and retention. To devise strategies to improve population reach We investigated which factors influence recruiting and maintaining participants in such an intervention, the in‐progress Maintain Your Brain trial.
Method
Invitations were sent to people aged 55‐77 years from the 45 and Up study, a population‐based cohort study of one in ten people aged 45 years and older in New South Wales, Australia (n = 267,000). For MYB, participants were required to be eligible for at least one of four modules to be enrolled (physical activity, nutrition, brain training and mental wellbeing). All participants received modules based on their risks and were randomly allocated to either personalised coaching (intervention) or static information (control). Associations between participant characteristics (listed Table 1) and likelihood of completing set assessment tasks was assessed at two key stages – end of baseline and end of 12‐month follow‐up using stepwise (forward) regression.
Results
Of 96,418 people invited, 12,281 (13%) participants started baseline and completed a mean of 6.2 (SD 4.3) of ten assessments. Of these, 6,236 (6%) were enrolled in the trial. At 12‐months participants completed a mean of 5.0 of 8 assessments (SD = 3.8). Completion rate of the primary outcome (two tasks) was 62% (3,869). In the final regression model for baseline (Table1), overall associations were weak even though statistically significant, with only years of education not entered in the final model. The follow‐up model included retirement status, gender, baseline dementia risk and baseline wellbeing. However, this model (df1 = 1, df2 =6231; R2 = .01) accounted for even less variation than baseline model (R2 = .04).
Conclusion
Overall, regression models of participant characteristics accounted for a low amount of variation in task completion rates at both baseline and follow‐up. Participants were less likely to complete baseline tasks if they were older, male, not living with a spouse or alone and not retired or had lower dementia risk score and more psychological distress.
Background
Technology and web‐based approaches potentially provide scalable population‐based interventions to reduce modifiable risk factors for dementia such as physical inactivity, suboptimal ...nutrition and low cognitive activity. Our aim was to reduce cognitive decline with ageing using an online package of interventions delivered intensively for 12 months followed by monthly boosters for 24 months. The trial was completed in November 2021.
Method
Invitations were sent to people aged 55‐77 years from the 45 and Up study, a population‐based cohort study of one in ten people aged 45 years and older in New South Wales, Australia (n = 267,000). Participants were required to be eligible for at least two of four modules. The modules addressed physical inactivity and health risks associated with inactivity (Physical Activity), adherence to a Mediterranean‐type diet and health risks associated with poor nutrition (Nutrition), cognitive activity (Brain Training) and mental well‐being (Peace of Mind). All participants received modules based on their risks, with randomized allocation to active personalised coaching modules (intervention) or static information‐based modules (control). The primary outcome was change in an online combined multi‐domain cognitive score measured using COGSTATE and Cambridge Brain Sciences tests. Secondary outcomes included ANU‐ADRI risk score, specific cognitive domain scores and diagnoses of dementia.
Result
From 96,418 invitations, 14,064 (14%) consented; 12,281 (13%) were eligible. Of these, 6,236 (6%) completed all 10 baseline assessments and were enrolled in the trial. Nearly 70% or 4,365 participants provided follow‐up data. At final 36‐months’ follow‐up, 3,482 (55.8%) completed the primary outcome and 2594 (41.6%) had returned informant‐rated Amsterdam‐Instrumental Activities of Daily Living Scale questionnaires.
Conclusion
Online strategies to prevent cognitive decline in 55‐77 year olds are feasible and appear acceptable for more than half of participants. Analysis of group*time effects will be presented.
The Maintain Your Brain (MYB) trial aims to prevent cognitive decline and dementia through multidomain, web-based risk-reduction. To facilitate translation, it is important to understand drivers of ...participation.
To describe characteristics associated with participation in MYB.
This was an observational ancillary study of MYB, a randomized controlled trial nested within the 45 and Up Study in New South Wales, Australia. We linked 45 and Up Study survey and MYB participation data. The study cohort comprised 45 and Up Study participants, aged 55-77 years at 1 January 2018, who were invited to participate in MYB. 45 and Up Study participant characteristics and subsequent MYB consent and participation were examined.
Of 98,836 invited, 13,882 (14%) consented to participate and 6,190 participated (6%). Adjusting for age and sex, a wide range of factors were related to participation. Higher educational attainment had the strongest relationship with increased MYB participation (university versus school non-completion; AdjOR = 5.15; 95% CI:4.70-5.64) and lower self-rated quality of life with reduced participation (Poor versus Excellent: AdjOR = 0.19; 95% CI:0.11-0.32). A family history of Alzheimer's disease was related to increased participation but most other dementia risk factors such as diabetes, obesity, stroke, high blood pressure, and current smoking were associated with reduced participation.
Higher socio-economic status, particularly educational attainment, is strongly associated with engagement in online dementia prevention research. Increasing population awareness of dementia risk factors, and better understanding the participation barriers in at-risk groups, is necessary to ensure online interventions are optimally designed to promote maximum participation.
Background
Efforts to prevent cognitive decline with aging have had mixed results with successful interventions delivered in person. While online approaches are more scalable and feasible to deliver ...at a population level, no multimodal online intervention has yet been demonstrated efficacy. We aimed to reduce cognitive decline with ageing using an online package of interventions delivered intensively for 12 months followed by monthly boosters for 24 months.
Method
Invitations were sent to people aged 55‐77 years from the 45 and Up study, a population‐based cohort study of one in ten people aged 45 years and older in New South Wales, Australia (n = 267,000). Participants were required to be eligible for at least two of four modules addressing physical inactivity and associated health risks (Physical Activity), adherence to a Mediterranean‐type diet and health risks associated with poor nutrition (Nutrition), cognitive activity (Brain Training) and mental well‐being (Peace of Mind). Participants received modules based on their risks, with 1:1 randomized allocation to active personalised coaching modules (intervention) or static information‐based modules (control). The primary outcome was change in an online combined multi‐domain cognitive score measured using COGSTATE and Cambridge Brain Sciences tests. Secondary outcomes included specific cognitive domain and ANU‐ADRI risk scores.
Result
Of 96,418 invitations issued, 14,064 (14%) consented, 11,026 (11%) were eligible and 6,104 (6%) completed all baseline assessments. Over three years, using intention to treat analysis, the intervention group improved significantly more in the global composite cognition (p<0.001). Significant benefits were also found in complex attention, executive function and learning and memory (all p<0.001), as well as on a validated dementia risk instrument (p = 0.007). Results were similar when adjusted for baseline age, gender, dementia risk and number of modules eligible and when analysis was based on those completing follow‐up.
Conclusion
An online platform tailored to individuals’ risk factor profiles over three years significantly delayed cognitive decline in older adults. This platform is scalable; if delivered at a population level with may help reduce the prevalence of dementia globally.
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