Protein polymer accumulation during grain development and relations to quality: Influences of cultivar and environment

OBJECTIVE: To assess the independent and combined impact of frailty, multi-morbidity, and activities of daily living (ADL) limitations on self-reported quality of life and healthcare costs in elderly people. DESIGN: Cross-sectional, descriptive study. METHOD: Data came from The Older Persons and Informal Caregivers Minimum DataSet (TOPICS-MDS), a pooled dataset with information from 41 projects across the Netherlands from the Dutch national care for the Elderly programme. Frailty, multi-morbidity and ADL limitations, and the interactions between these domains, were used as predictors in regression analyses with quality of life and healthcare costs as outcome measures. Analyses were stratified by living situation (independent or care home). Directionality and magnitude of associations were assessed using linear mixed models. RESULTS: A total of 11,093 elderly people were interviewed. A substantial proportion of elderly people living independently reported frailty, multi-morbidity, and/or ADL limitations (56.4%, 88.3% and 41.4%, respectively), as did elderly people living in a care home (88.7%, 89.2% and 77,3%, respectively). One-third of elderly people living at home (31.9%) reported all three conditions compared with two-thirds of elderly people living in a care home (68.3%). In the multivariable analysis, frailty had a strong impact on outcomes independently of multi-morbidity and ADL limitations. Elderly people experiencing problems across all three domains reported the poorest quality-of-life scores and the highest healthcare costs, irrespective of their living situation. CONCLUSION: Frailty, multi-morbidity and ADL limitations are complementary measurements, which together provide a more holistic understanding of health status in elderly people. A multi-dimensional approach is important in mapping the complex relationships between these measurements on the one hand and the quality of life and healthcare costs on the other

Characteristics of effective internet-mediated interventions to change lifestyle in people aged 50 and older: a systematic review

Contains fulltext : 96711.pdf (publisher's version ) (Closed access)Worldwide, the number of people aged 60 years and older steadily grows to a predicted 2 billion in 2050. Online interventions increasingly target lifestyle risk factors to promote healthy aging. The objective of this systematic review is to evaluate whether Internet mediated lifestyle interventions can successfully change lifestyle in people aged 50 and older. A PubMed search was conducted resulting in twelve articles, based on ten studies. The studies focused on physical activity, weight loss, nutrition, and diabetes. Nine studies used feasible interventions, with an average small to moderate effect size. The most important result is that there are multiple studies reporting positive lifestyle changes in an older population. On average, complex interventions, whether they present tailored or generic information, and online or offline comparison, are more effective than interventions with only one component. Internet mediated interventions hold great potential in implementing effective lifestyle programs, capable of reaching large populations of older persons at very low costs

Using an eHealth intervention to stimulate health behavior for the prevention of cognitive decline in Dutch adults: A study protocol for the Brain Aging Monitor

Contains fulltext : 152912.pdf (publisher's version ) (Open Access)BACKGROUND: Internet-delivered intervention programs are an effective way of changing health behavior in an aging population. The same population has an increasing number of people with cognitive decline or cognitive impairments. Modifiable lifestyle risk factors such as physical activity, nutrition, smoking, alcohol consumption, sleep, and stress all influence the probability of developing neurodegenerative diseases such as Alzheimer's disease. OBJECTIVE: This study aims to answer two questions: (1) Is the use of a self-motivated, complex eHealth intervention effective in changing multiple health behaviors related to cognitive aging in Dutch adults in the work force, especially those aged 40 and over? and (2) Does this health behavior change result in healthier cognitive aging patterns and contribute to preventing or delaying future onset of neurodegenerative syndromes? METHODS: The Brain Aging Monitor study uses a quasi-experimental 2-year pre-posttest design. The Brain Aging Monitor is an online, self-motivated lifestyle intervention program. Recruitment is done both in medium to large organizations and in the Dutch general population over the age of 40. The main outcome measure is the relationship between lifestyle change and cognitive aging. The program uses different strategies and modalities such as Web content, email, online newsletters, and online games to aid its users in behavior change. To build self-regulatory skills, the Brain Aging Monitor offers its users goal-setting activities, skill-building activities, and self-monitoring. RESULTS: Study results are expected to be published in early 2016. CONCLUSIONS: This study will add to the body of evidence on the effectiveness of eHealth intervention programs with the combined use of state-of-the-art applied games and established behavior change techniques. This will lead to new insights on how to use behavior change techniques and theory in multidimensional lifestyle eHealth research, and how these techniques and theories apply when they are used in a setting where no professional back-end is available. TRIAL REGISTRATION: Nederlands Trial Register: NTR4144; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=4144 (Archived by WebCite at http://www.webcitation.org/6cZzwZSg3).14 p

Self-report measures of executive functioning are a determinant of academic performance in first-year students at a university of applied science

Recent studies in late adolescents (age 17+) show that brain development may proceed till around the 25th year of age. This implies that study performance in higher education could be dependent upon the stage of brain maturation and neuropsychological development. Individual differences in development of neuropsychological skills may thus have a substantial influence on the outcome of the educational process. This hypothesis was evaluated in a large survey of 1760 first-year students at a University of Applied Sciences, of which 1332 are included in the current analyses. This was because of their fit within the age range we pre-set (17-20 years’ old at start of studies). Student characteristics and three behavioural ratings of executive functioning (EF) were evaluated with regard to their influence on academic performance. Self-report measures were used: self-reported attention, planning, and self-control & self-monitoring. Results showed that students with better self-reported EF at the start of the first year of their studies obtained more study credits at the end of that year than students with a lower EF self-rating. The correlation between self-control & self-monitoring on the one hand, and study progress on the other, appeared to differ for male and female students and to be influenced by the level of prior education. The results of this large-scale study could have practical relevance. The profound individual differences between students may at least partly be a consequence of their stage of development as an adolescent. Students who show lower levels of attention control, planning and self-control/self-monitoring can be expected to have a problem in study planning and study progress monitoring and hence study progress. The findings imply that interventions directed at the training of these (executive) functions should be developed and used in higher education in order to improve academic achievement, learning attitude and motivation

Changing Behavioral Lifestyle Risk Factors Related to Cognitive Decline in Later Life Using a Self-Motivated eHealth Intervention in Dutch Adults

BACKGROUND: Our labor force is aging, but aged workers are not yet coached on how to stay cognitively fit for the job. OBJECTIVE: In this study, we tested whether a self-motivated, complex eHealth intervention could improve multiple health-related behaviors that are associated with cognitive aging among working Dutch adults. METHODS: This quasi-experimental prospective study with a pre-post design was conducted with employees of Dutch medium to large companies. All employees with Internet access, a good understanding of the Dutch language, and who provided digital informed consent were eligible to participate. In total, 2972 participants (2110/2972, 71.11% females) with a mean (standard deviation, SD) age of 51.8 (SD 12.9) years were recruited; 2305 became active users of the intervention, and 173 completed the 1-year follow-up. This self-motivated eHealth lifestyle intervention stimulates participants to set personally relevant, monthly health behavior change goals using Goal Attainment Scaling and to realize these goals by implementing behavior change techniques grounded in behavior change theory. The primary outcomes were the goal-setting success rate and the change in overall lifestyle score from baseline to the 1-year follow-up; the score was based on physical activity, diet, smoking, alcohol, sleep, and stress scores. The secondary outcomes were the changes in body weight, body mass index, specific lifestyle characteristics, and website usage. RESULTS: A total of 1212 participants set 2620 behavior change goals; 392 participants assessed 1089 (1089/2288, 47.59%) goals and successfully achieved 422 (422/1089, 38.75%) of these goals. Among the goal-setting participants in follow-up, this led to a +0.81-point improvement (95% CI 0.49-1.13, P<.001) in overall lifestyle (d=0.32) and weight loss of 0.62 kg (95% CI -1.16 to -0.07, P=.03). These participants also showed significant improvement in 8 out of 11 specific lifestyle components. CONCLUSIONS: Among an adult Dutch population, this eHealth intervention resulted in lifestyle changes in behavioral risk factors associated with cognitive decline, and these improvements lasted over the period of 1 year. Given the general aging of our workforce, this eHealth intervention opens new avenues for the widespread use of cost-effective self-motivated prevention programs aimed at prevention of early-stage cognitive decline and more self-management of their risk factors. TRIAL REGISTRATION: Nederlands Trial Register: NTR4144; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=4144 (Archived by WebCite at http://www.webcitation.org/6cZzwZSg3)

Validation of a frailty index from the older persons and informal caregivers survey minimum data set

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The Development of the Older Persons and Informal Caregivers Survey Minimum DataSet (TOPICS-MDS): A Large-Scale Data Sharing Initiative

INTRODUCTION: In 2008, the Ministry of Health, Welfare and Sport commissioned the National Care for the Elderly Programme. While numerous research projects in older persons' health care were to be conducted under this national agenda, the Programme further advocated the development of The Older Persons and Informal Caregivers Survey Minimum DataSet (TOPICS-MDS) which would be integrated into all funded research protocols. In this context, we describe TOPICS data sharing initiative (www.topics-mds.eu). MATERIALS AND METHODS: A working group drafted TOPICS-MDS prototype, which was subsequently approved by a multidisciplinary panel. Using instruments validated for older populations, information was collected on demographics, morbidity, quality of life, functional limitations, mental health, social functioning and health service utilisation. For informal caregivers, information was collected on demographics, hours of informal care and quality of life (including subjective care-related burden). RESULTS: Between 2010 and 2013, a total of 41 research projects contributed data to TOPICS-MDS, resulting in preliminary data available for 32,310 older persons and 3,940 informal caregivers. The majority of studies sampled were from primary care settings and inclusion criteria differed across studies. DISCUSSION: TOPICS-MDS is a public data repository which contains essential data to better understand health challenges experienced by older persons and informal caregivers. Such findings are relevant for countries where increasing health-related expenditure has necessitated the evaluation of contemporary health care delivery. Although open sharing of data can be difficult to achieve in practice, proactively addressing issues of data protection, conflicting data analysis requests and funding limitations during TOPICS-MDS developmental phase has fostered a data sharing culture. To date, TOPICS-MDS has been successfully incorporated into 41 research projects, thus supporting the feasibility of constructing a large (>30,000 observations), standardised dataset pooled from various study protocols with different sampling frameworks. This unique implementation strategy improves efficiency and facilitates individual-level data meta-analysis