Objective: Active aging involves staying engaged in life in a number of ways, including maintaining independence, physical and mental fitness, and social engagement. This investigation highlights Active Aging for L.I.F.E., an intergenerational pilot health initiative developed and implemented in the state of Oklahoma. Subject and Methods: Program participants included college students 18 to 25 years of age (n = 20) and older adults older than 65 years (n = 23) who attended a 4-part speaker series focused on the domains of longevity, independence, fitness, and engagement and participated in a pre-/postsurvey. Results: College-aged students reported greater changes in their perception of an individual's role in the aging process than the older adults, and differences between genders were also identified. This pilot determined that attitudes about active aging can be changed through education for both college-aged students and older adults.

No abstract

step we conducted 16 qualitative company case studies in order to identify explanatory factors for the training behaviour found in the SMEs we analyzed. Amongst the owner's willingness to invest in training factors such as staff retention, order volume and a company's degree of (technical) innovation have shown to be influential regarding the prevalence of training opportunities for older workers. POST RETIREMENT ADAPTATION OF ELDERLY INKERALA, INDIA J.J. Katttakayam, University of Kerala, Trivandrum, Kerala, India India is growing old! The stark reality of the ageing scenario in India is that there are 77 million older persons in India today, and the number is going to grow to 177 million in another 25 years. Kerala, a relatively small Southern state in India, is experiencing the last stages of demographic transition that can be compared to the demographic trend in many aging European countries. Kerala has the highest percentage of elderly population (12.6 %), higher than the national average. Though life expectancy has been increasing steadily in Kerala for the last four decades, the retirement age of the state government employees remained at 55 years until 2011 when it was increased to 56 years. As retirement has become an essential life-stage in older adults, adapting well to retired lifestyle is crucial for long term life-satisfaction of the elderly. Kerala has four lakh pensioners and 12 lakh social security beneficiaries. Though some welfare measures have been taken for the aged persons, these measures are not fool proof. The present paper attempts to capture the dimensions and issues of post retirement adaptation of the elderly in Kerala.Quantitative data were collected from 300 retired elderly from the selected households. The problem is approached from the perspective of changes happening in their social position and relations within their family. The majority of the respondents held that they get the expected care from their spouses after retirement. Though this is a positive sign, the fact that around one tenth of them do not get the expected care invites attention to the emerging situation that the elderly in the state are likely to face more seriously in the coming days. For the last few decades, the world's retirement systems have been objects of analysis. For the past century, social security has played an important role in society-especially as populations get older, presenting new challenges to governments and their existing policies. Chile and the U.S have different systems with similar results when it comes to poverty prevention. However, the retirement system in the U.S, which is public, is facing sustainability problems, and the retirement system in Chile, which is private, is facing inequality problems. Therefore, the aim of this paper is to make a comparative analysis of the retirement income systems between Chile and the U.S. RETIREMENT INCOME SYSTEM: A COMPARISONDespite the accomplishments, new reforms are inevitable, and the cost of the transition of systems in Chile can offer new ...

Most actigraphy devices use different analysis methods and a non-standardized threshold value to estimate sleep/wake status and identify rest intervals. To address limitations of these approaches, a new algorithm was developed that makes no assumptions about sleep/wake status, objectively selects an optimal threshold for different populations, and provides mathematical endpoints to more fully describe the activity patterns of subjects. The optimal threshold (cts min−1) is defined as the value that maximizes the duration of the rest period while minimizing the inclusion of epochs from the active period. This value is identified as the beginning of a plateau region of a rest duration versus threshold value graph. Application of this new algorithm to data from 56 healthy adults, 6 healthy children, and 14 children with autism spectrum disorder (ASD) showed that the three groups had different optimal threshold values (35, 40, and 45 cts min−1 for adults, children and ASD respectively). The rest periods of healthy children was longer than that of adults (8.5  ±  0.5 versus 6.3  ±  0.9 h, p  <  0.001). Healthy children also had less activity during the rest periods than adults (10.5  ±  1.8 versus 15.1  ±  11.8 cts min−1) and ASD children (12.0  ±  2.2 cts min−1) but these differences were not statistically significant. However, the distributions of their activity values during rest periods as measured by skewness and kurtosis were significantly greater than that of healthy adults (skewness: 7.3  ±  0.9 versus 6.2  ±  0.9, p  <  0.01, kurtosis: 83.3  ±  16.5 versus 52.8  ±  14.4, p  <  0.001) and of ASD children (skewness: 6.4  ±  0.6. p  <  0.05, kurtosis: 57.7  ±  12.8, p  <  0.001). These findings are consistent with more restful sleep patterns which would have mostly low levels of activity with few large values. The new analysis tool may be helpful in standardizing actigraphy data analyses while providing new insights into activity patterns.

A study was conducted in a grocery store simulation lab at a large Mid-Western university to measure consumer perceptions of meat package label design variations under different LED lighting conditions. A quasi-experimental approach using a multi-group between-within subjects' posttest only design measured participants' responses to the novel meat labels. Philip's HUE consumer LED light bulbs were varied with different colors over beef steak package labels from 2700 K (RED) -7000 K (BLUE). Goose neck lamps over the packages were used to create the display lighting simulations. The researchers determined that there was evidence of label and lighting interactions which influenced consumer perceptions of nutrition label information both between and within subject groups.