Innovation in Aging 

About: Innovation in Aging is an academic journal published by University of Oxford. The journal publishes majorly in the area(s): Medicine & Internal medicine. It has an ISSN identifier of 2399-5300. It is also open access. Over the lifetime, 5043 publications have been published receiving 8378 citations.

Family Relationships and Well-Being.

Abstract: Family relationships are enduring and consequential for well-being across the life course. We discuss several types of family relationships-marital, intergenerational, and sibling ties-that have an important influence on well-being. We highlight the quality of family relationships as well as diversity of family relationships in explaining their impact on well-being across the adult life course. We discuss directions for future research, such as better understanding the complexities of these relationships with greater attention to diverse family structures, unexpected benefits of relationship strain, and unique intersections of social statuses.

Exercise to prevent falls in older adults: an updated systematic review and meta-analysis

Abstract: Objective Previous meta-analyses have found that exercise prevents falls in older people. This study aimed to test whether this effect is still present when new trials are added, and it explores whether characteristics of the trial design, sample or intervention are associated with greater fall prevention effects. Design Update of a systematic review with random effects meta-analysis and meta-regression. Data sources Cochrane Library, CINAHL, MEDLINE, EMBASE, PubMed, PEDro and SafetyLit were searched from January 2010 to January 2016. Study eligibility criteria We included randomised controlled trials that compared fall rates in older people randomised to receive exercise as a single intervention with fall rates in those randomised to a control group. Results 99 comparisons from 88 trials with 19 478 participants were available for meta-analysis. Overall, exercise reduced the rate of falls in community-dwelling older people by 21% (pooled rate ratio 0.79, 95% CI 0.73 to 0.85, p<0.001, I 47%, 69 comparisons) with greater effects seen from exercise programmes that challenged balance and involved more than 3 hours/ week of exercise. These variables explained 76% of the between-trial heterogeneity and in combination led to a 39% reduction in falls (incident rate ratio 0.61, 95% CI 0.53 to 0.72, p<0.001). Exercise also had a fall prevention effect in community-dwelling people with Parkinson’s disease (pooled rate ratio 0.47, 95% CI 0.30 to 0.73, p=0.001, I 65%, 6 comparisons) or cognitive impairment (pooled rate ratio 0.55, 95% CI 0.37 to 0.83, p=0.004, I 21%, 3 comparisons). There was no evidence of a fall prevention effect of exercise in residential care settings or among stroke survivors or people recently discharged from hospital. Summary/conclusions Exercise as a single intervention can prevent falls in community-dwelling older people. Exercise programmes that challenge balance and are of a higher dose have larger effects. The impact of exercise as a single intervention in clinical groups and aged care facility residents requires further investigation, but promising results are evident for people with Parkinson’s disease and cognitive impairment. INTRODUCTION Falls are a leading cause of morbidity and mortality in older adults. 2 Approximately one in three community-dwelling people aged 65 years or older will fall at least once per year, and the risk of falling increases with age. Falls impose a significant social and economic burden for individuals, their families, community health services and the economy. As the proportion of older people is rising globally, the costs associated with falls will increase. The prevention of falls is therefore an urgent public health challenge. National health bodies and international guidelines are promoting the implementation of appropriately designed intervention programmes that are known to prevent falls in older people. 6 There is strong evidence that appropriately designed intervention programmes can prevent falls in older people. A Cochrane systematic review established that exercise interventions reduce the rate of falls (number of falls per person) and risk of falling (proportion of people having one or more falls) in community-dwelling older people. Furthermore, exercise as a single intervention has a fall prevention effect similar to multifaceted interventions, 10 suggesting implementation of exercise as a stand-alone intervention may be the optimal and potentially most cost-effective approach to fall prevention at a population level. Trials of exercise for fall prevention are heterogeneous in risk of bias, populations involved and content of exercise programmes. Meta-regression enables investigation of between-trial variability, that is, whether certain trial-level factors are associated with greater effects of intervention programmes. Our previous meta-analyses with meta-regression, which included 44 trials in 2008 and 54 trials in 2011, found greater fall prevention effects in trials where exercise programmes included balance training, were undertaken more frequently (ie, exceeded 2 hours a week over the study period) and did not include walking exercise. Recent publication of additional trials necessitates an update of the previous systematic review, meta-analyses and meta-regression. This systematic review and meta-analysis aimed to: (1) determine the effects of exercise on fall rates in older people when compared with no exercise in randomised controlled trials (RCTs), and (2) explore whether characteristics of the trial design, sample or intervention are associated with greater fall prevention effects.

Effect Size Guidelines, Sample Size Calculations, and Statistical Power in Gerontology.

Abstract: Background and objectives Researchers typically use Cohen's guidelines of Pearson's r = .10, .30, and .50, and Cohen's d = 0.20, 0.50, and 0.80 to interpret observed effect sizes as small, medium, or large, respectively. However, these guidelines were not based on quantitative estimates and are only recommended if field-specific estimates are unknown. This study investigated the distribution of effect sizes in both individual differences research and group differences research in gerontology to provide estimates of effect sizes in the field. Research design and methods Effect sizes (Pearson's r, Cohen's d, and Hedges' g) were extracted from meta-analyses published in 10 top-ranked gerontology journals. The 25th, 50th, and 75th percentile ranks were calculated for Pearson's r (individual differences) and Cohen's d or Hedges' g (group differences) values as indicators of small, medium, and large effects. A priori power analyses were conducted for sample size calculations given the observed effect size estimates. Results Effect sizes of Pearson's r = .12, .20, and .32 for individual differences research and Hedges' g = 0.16, 0.38, and 0.76 for group differences research were interpreted as small, medium, and large effects in gerontology. Discussion and implications Cohen's guidelines appear to overestimate effect sizes in gerontology. Researchers are encouraged to use Pearson's r = .10, .20, and .30, and Cohen's d or Hedges' g = 0.15, 0.40, and 0.75 to interpret small, medium, and large effects in gerontology, and recruit larger samples.

A comparison of the prevalence of dementia in the united states in 2000 and 2012

Abstract: Importance The aging of the US population is expected to lead to a large increase in the number of adults with dementia, but some recent studies in the United States and other high-income countries suggest that the age-specific risk of dementia may have declined over the past 25 years. Clarifying current and future population trends in dementia prevalence and risk has important implications for patients, families, and government programs. Objective To compare the prevalence of dementia in the United States in 2000 and 2012. Design, Setting, and Participants We used data from the Health and Retirement Study (HRS), a nationally representative, population-based longitudinal survey of individuals in the United States 65 years or older from the 2000 (n = 10 546) and 2012 (n = 10 511) waves of the HRS. Main Outcomes and Measures Dementia was identified in each year using HRS cognitive measures and validated methods for classifying self-respondents, as well as those represented by a proxy. Logistic regression was used to identify socioeconomic and health variables associated with change in dementia prevalence between 2000 and 2012. Results The study cohorts had an average age of 75.0 years (95% CI, 74.8-75.2 years) in 2000 and 74.8 years (95% CI, 74.5-75.1 years) in 2012 ( P = .24); 58.4% (95% CI, 57.3%-59.4%) of the 2000 cohort was female compared with 56.3% (95% CI, 55.5%-57.0%) of the 2012 cohort ( P P P Conclusions and Relevance The prevalence of dementia in the United States declined significantly between 2000 and 2012. An increase in educational attainment was associated with some of the decline in dementia prevalence, but the full set of social, behavioral, and medical factors contributing to the decline is still uncertain. Continued monitoring of trends in dementia incidence and prevalence will be important for better gauging the full future societal impact of dementia as the number of older adults increases in the decades ahead.

Factors Predicting Decisions About Technology Adoption Among Older Adults.

Abstract: Background and objectives Numerous technology applications are available that have the potential to improve the quality of life (QoL) of older adults. However, older adults are less likely to adopt new and emerging technologies and reap the potential benefits. This study examines factors that influence older adults' decisions about the adoption of new technology. Research design and methods Fifty-two older adults participated in a mixed-method procedure, which entailed: (1) observing presentations detailing nine differing technologies, (2) assessing the technologies using tailored questionnaires, and (3) participating in focus group discussions. Participants were assigned into one of seven groups separated by age (65-74, 75+) and language (English, Spanish). The outcome was willingness to adopt technology. Predictors included self-assessed abilities (e.g., numeric ability), computer/Internet skills and knowledge, technology readiness, age, language, and technology ratings (e.g., perceived value). Analyses included Spearman's ρ, t-tests, and regression analysis. Focus group discussions were examined for supportive examples. Results Self-assessed abilities and computer/Internet skills were predictive of willingness to adopt technologies although the relationship varied according to the technology examined. Technology readiness, age, and language group showed weak associations with the outcome. Of the technology ratings, perceived value, confidence in ability to learn the technology, and the perceived impact on QoL were the most robust predictors of willingness to adopt technology. Discussion and implications Findings indicate that various stakeholders in technology adoption among older adults must be cognizant of a technology's functionality and complexity as well as the characteristics and abilities of older adults. However, certain factors such as perceptions about the value of the technology and potential impact on QoL are also critically important to decisions regarding technology adoption among older people.